From d555ac5ad95080f52e88af193baf796dd3a9cb7a Mon Sep 17 00:00:00 2001 From: annajowang <31288696+annajowang@users.noreply.github.com> Date: Tue, 16 Sep 2025 16:58:43 -0400 Subject: [PATCH 01/37] Add new zip deploy and local build fields to configs and Build interfaces. (#9115) * Add new zip deploy and local build fields to configs and Build interfaces. --- schema/firebase-config.json | 6 ++++++ src/deploy/apphosting/release.ts | 1 + src/firebaseConfig.ts | 1 + src/gcp/apphosting.ts | 3 +++ 4 files changed, 11 insertions(+) diff --git a/schema/firebase-config.json b/schema/firebase-config.json index b2bbeca6691..2a1ef0a06d7 100644 --- a/schema/firebase-config.json +++ b/schema/firebase-config.json @@ -1107,6 +1107,9 @@ }, "type": "array" }, + "localBuild": { + "type": "boolean" + }, "rootDir": { "type": "string" } @@ -1134,6 +1137,9 @@ }, "type": "array" }, + "localBuild": { + "type": "boolean" + }, "rootDir": { "type": "string" } diff --git a/src/deploy/apphosting/release.ts b/src/deploy/apphosting/release.ts index 4a5e3f62dbf..d64f44f1c04 100644 --- a/src/deploy/apphosting/release.ts +++ b/src/deploy/apphosting/release.ts @@ -44,6 +44,7 @@ export default async function (context: Context, options: Options): Promise>(); export interface BuildConfig { minInstances?: number; memory?: string; + env?: string[]; + runCommand?: string; } interface BuildSource { @@ -129,6 +131,7 @@ interface ArchiveSource { // end oneof reference rootDirectory?: string; author?: SourceUserMetadata; + locallyBuiltSource?: boolean; } interface SourceUserMetadata { From 50d33c903545a5fdbccb8076187b3842905842bb Mon Sep 17 00:00:00 2001 From: annajowang <31288696+annajowang@users.noreply.github.com> Date: Fri, 19 Sep 2025 14:01:37 -0400 Subject: [PATCH 02/37] Add new EnvironmentVariable for Builds and set them during rollouts (#9141) * Add new EnvironmentVariable for Builds. --- src/deploy/apphosting/args.ts | 7 ++ src/deploy/apphosting/deploy.spec.ts | 1 + src/deploy/apphosting/prepare.spec.ts | 1 + src/deploy/apphosting/release.spec.ts | 120 ++++++++++++++++++++------ src/deploy/apphosting/release.ts | 5 ++ src/gcp/apphosting.ts | 11 ++- 6 files changed, 118 insertions(+), 27 deletions(-) diff --git a/src/deploy/apphosting/args.ts b/src/deploy/apphosting/args.ts index 7c94697e120..7b0f85d6723 100644 --- a/src/deploy/apphosting/args.ts +++ b/src/deploy/apphosting/args.ts @@ -1,7 +1,14 @@ import { AppHostingSingle } from "../../firebaseConfig"; +import { BuildConfig } from "../../gcp/apphosting"; + +export interface LocalBuild { + buildConfig: BuildConfig; + buildDir: string; +} export interface Context { backendConfigs: Map; backendLocations: Map; backendStorageUris: Map; + backendLocalBuilds: Record; } diff --git a/src/deploy/apphosting/deploy.spec.ts b/src/deploy/apphosting/deploy.spec.ts index 77d9f78dbb9..70f30624503 100644 --- a/src/deploy/apphosting/deploy.spec.ts +++ b/src/deploy/apphosting/deploy.spec.ts @@ -38,6 +38,7 @@ function initializeContext(): Context { ]), backendLocations: new Map([["foo", "us-central1"]]), backendStorageUris: new Map(), + backendLocalBuilds: {}, }; } diff --git a/src/deploy/apphosting/prepare.spec.ts b/src/deploy/apphosting/prepare.spec.ts index 369f1f88640..a3e244585d8 100644 --- a/src/deploy/apphosting/prepare.spec.ts +++ b/src/deploy/apphosting/prepare.spec.ts @@ -29,6 +29,7 @@ function initializeContext(): Context { backendConfigs: new Map(), backendLocations: new Map(), backendStorageUris: new Map(), + backendLocalBuilds: {}, }; } diff --git a/src/deploy/apphosting/release.spec.ts b/src/deploy/apphosting/release.spec.ts index 6083a99ccb6..e34e3b78a26 100644 --- a/src/deploy/apphosting/release.spec.ts +++ b/src/deploy/apphosting/release.spec.ts @@ -20,34 +20,9 @@ const BASE_OPTS = { json: false, }; -function initializeContext(): Context { - return { - backendConfigs: new Map([ - [ - "foo", - { - backendId: "foo", - rootDir: "/", - ignore: [], - }, - ], - ]), - backendLocations: new Map([["foo", "us-central1"]]), - backendStorageUris: new Map([ - ["foo", "gs://firebaseapphosting-sources-us-central1/foo-1234.zip"], - ]), - }; -} - describe("apphosting", () => { let orchestrateRolloutStub: sinon.SinonStub; - beforeEach(() => { - orchestrateRolloutStub = sinon - .stub(rollout, "orchestrateRollout") - .throws("Unexpected orchestrateRollout call"); - }); - afterEach(() => { sinon.verifyAndRestore(); }); @@ -65,9 +40,102 @@ describe("apphosting", () => { }, }), }; + it("Supports passing localBuild information", async () => { + const context: Context = { + backendConfigs: new Map([ + [ + "foo", + { + backendId: "foo", + rootDir: "/", + ignore: [], + localBuild: true, + }, + ], + ]), + backendLocations: new Map([["foo", "us-central1"]]), + backendStorageUris: new Map([ + ["foo", "gs://firebaseapphosting-sources-us-central1/foo-1234.zip"], + ]), + backendLocalBuilds: { + foo: { + buildConfig: { + env: [{ variable: "CHICKEN", value: "bok-bok" }], + }, + buildDir: "./", + }, + }, + }; + + orchestrateRolloutStub = sinon.stub(rollout, "orchestrateRollout").resolves({ + rollout: { + name: "rollout-name", + state: "QUEUED", + pauseTime: "does not matter", + build: "dnm", + createTime: "dnm", + updateTime: "dnm", + uid: "dnm", + etag: "dnm", + reconciling: false, + }, + build: { + name: "build-name", + state: "BUILDING", + error: { code: 0, message: "everything good", details: "details" }, + image: "dnm", + source: {}, + sourceRef: "", + etag: "", + uuid: "", + reconciling: false, + createTime: "", + updateTime: "", + deleteTime: "", + }, + }); + await expect(release(context, opts)).to.eventually.not.rejected; + sinon.assert.calledOnceWithMatch(orchestrateRolloutStub, { + projectId: "my-project", + location: "us-central1", + backendId: "foo", + buildInput: { + config: { + env: [{ variable: "CHICKEN", value: "bok-bok" }], + }, + source: { + archive: { + userStorageUri: "gs://firebaseapphosting-sources-us-central1/foo-1234.zip", + rootDirectory: "/", + locallyBuiltSource: true, + }, + }, + }, + }); + }); it("does not block rollouts of other backends if one rollout fails", async () => { - const context = initializeContext(); + const context: Context = { + backendConfigs: new Map([ + [ + "foo", + { + backendId: "foo", + rootDir: "/", + ignore: [], + }, + ], + ]), + backendLocations: new Map([["foo", "us-central1"]]), + backendStorageUris: new Map([ + ["foo", "gs://firebaseapphosting-sources-us-central1/foo-1234.zip"], + ]), + backendLocalBuilds: {}, + }; + orchestrateRolloutStub = sinon + .stub(rollout, "orchestrateRollout") + .throws("Unexpected orchestrateRollout call"); + orchestrateRolloutStub.onFirstCall().rejects(); orchestrateRolloutStub.onSecondCall().resolves(); diff --git a/src/deploy/apphosting/release.ts b/src/deploy/apphosting/release.ts index d64f44f1c04..a63e1077767 100644 --- a/src/deploy/apphosting/release.ts +++ b/src/deploy/apphosting/release.ts @@ -34,12 +34,17 @@ export default async function (context: Context, options: Options): Promise>(); +export type Availability = "BUILD" | "RUNTIME"; + +export interface Env { + variable: string; + secret?: string; + value?: string; + availability?: Availability[]; +} + export interface BuildConfig { minInstances?: number; memory?: string; - env?: string[]; + env?: Env[]; runCommand?: string; } From b0d381fbde0cf679726cde79ece376d6c1cb1236 Mon Sep 17 00:00:00 2001 From: Fred Zhang Date: Wed, 17 Sep 2025 09:34:56 -0700 Subject: [PATCH 03/37] [FDC init] Handle error of template create (#9119) * handle error * m --- src/init/features/dataconnect/sdk.ts | 29 ++++++++++++++++------------ 1 file changed, 17 insertions(+), 12 deletions(-) diff --git a/src/init/features/dataconnect/sdk.ts b/src/init/features/dataconnect/sdk.ts index 45223ca9bf6..74b6ee40377 100644 --- a/src/init/features/dataconnect/sdk.ts +++ b/src/init/features/dataconnect/sdk.ts @@ -75,18 +75,23 @@ export async function askQuestions(setup: Setup): Promise { { name: "no", value: "no" }, ], }); - switch (choice) { - case "react": - await createReactApp(newUniqueId("web-app", listFiles(cwd))); - break; - case "next": - await createNextApp(newUniqueId("web-app", listFiles(cwd))); - break; - case "flutter": - await createFlutterApp(newUniqueId("flutter_app", listFiles(cwd))); - break; - case "no": - break; + try { + switch (choice) { + case "react": + await createReactApp(newUniqueId("web-app", listFiles(cwd))); + break; + case "next": + await createNextApp(newUniqueId("web-app", listFiles(cwd))); + break; + case "flutter": + await createFlutterApp(newUniqueId("flutter_app", listFiles(cwd))); + break; + case "no": + break; + } + } catch (err: unknown) { + // The detailed error message are already piped into stderr. No need to repeat here. + logLabeledError("dataconnect", `Failed to create a ${choice} app template`); } } From ecfc28952a35787ff18cfe460162d61297e6ecbd Mon Sep 17 00:00:00 2001 From: Bryan Kendall Date: Wed, 17 Sep 2025 14:11:36 -0700 Subject: [PATCH 04/37] 14.17.0 --- npm-shrinkwrap.json | 4 ++-- package.json | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/npm-shrinkwrap.json b/npm-shrinkwrap.json index fe4455c77aa..da3dbd58b10 100644 --- a/npm-shrinkwrap.json +++ b/npm-shrinkwrap.json @@ -1,12 +1,12 @@ { "name": "firebase-tools", - "version": "14.16.0", + "version": "14.17.0", "lockfileVersion": 2, "requires": true, "packages": { "": { "name": "firebase-tools", - "version": "14.16.0", + "version": "14.17.0", "license": "MIT", "dependencies": { "@electric-sql/pglite": "^0.3.3", diff --git a/package.json b/package.json index 8e5a3dc47db..c9e387c3d4a 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "firebase-tools", - "version": "14.16.0", + "version": "14.17.0", "description": "Command-Line Interface for Firebase", "main": "./lib/index.js", "bin": { From 7c7e0ad4045e199f3b92a7a7388a1ca637d093c5 Mon Sep 17 00:00:00 2001 From: Bryan Kendall Date: Wed, 17 Sep 2025 14:12:24 -0700 Subject: [PATCH 05/37] clear changelog for v14.17.0 release --- CHANGELOG.md | 1 - 1 file changed, 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index ceccf65fcd5..e69de29bb2d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1 +0,0 @@ -- Change `dataconnect`'s default region to `us-east4` (#9126) From 2c4dfde612ce042587a6e90f166a3e6a37962519 Mon Sep 17 00:00:00 2001 From: Max Lord Date: Wed, 17 Sep 2025 16:42:29 -0400 Subject: [PATCH 06/37] (feat) Crashlytics tools improvements (#9138) - Improving instructions and return values in crashlytics tools - Making interval handling more robust - Adding return messages to avoid undefined tool responses --- src/crashlytics/events.spec.ts | 52 +++++++++++++++++++++++++- src/crashlytics/events.ts | 43 ++++++++++++++++++++- src/crashlytics/filters.ts | 10 ++++- src/crashlytics/issues.spec.ts | 2 +- src/crashlytics/issues.ts | 2 +- src/crashlytics/notes.ts | 3 +- src/crashlytics/types.ts | 28 +++++++++----- src/mcp/prompts/crashlytics/connect.ts | 12 ++++-- src/mcp/tools/crashlytics/notes.ts | 3 +- src/mcp/tools/crashlytics/reports.ts | 4 ++ 10 files changed, 137 insertions(+), 22 deletions(-) diff --git a/src/crashlytics/events.spec.ts b/src/crashlytics/events.spec.ts index a6b74e11854..0c7c45afb0a 100644 --- a/src/crashlytics/events.spec.ts +++ b/src/crashlytics/events.spec.ts @@ -2,7 +2,7 @@ import * as chai from "chai"; import * as nock from "nock"; import * as chaiAsPromised from "chai-as-promised"; -import { listEvents } from "./events"; +import { listEvents, batchGetEvents } from "./events"; import { FirebaseError } from "../error"; import { crashlyticsApiOrigin } from "../api"; @@ -82,4 +82,54 @@ describe("events", () => { ).to.be.rejectedWith(FirebaseError, "Unable to get the projectId from the AppId."); }); }); + + describe("batchGetEvents", () => { + const eventNames = [ + "projects/1234567890/apps/1:1234567890:android:abcdef1234567890/events/test_event_id_1", + "projects/1234567890/apps/1:1234567890:android:abcdef1234567890/events/test_event_id_2", + ]; + + it("should resolve with the response body on success", async () => { + const mockResponse = { + events: [{ id: "test_event_id_1" }, { id: "test_event_id_2" }], + }; + + nock(crashlyticsApiOrigin()) + .get(`/v1alpha/projects/${requestProjectNumber}/apps/${appId}/events:batchGet`) + .query({ + "event.names": eventNames, + }) + .reply(200, mockResponse); + + const result = await batchGetEvents(appId, eventNames); + + expect(result).to.deep.equal(mockResponse); + expect(nock.isDone()).to.be.true; + }); + + it("should throw a FirebaseError if the API call fails", async () => { + nock(crashlyticsApiOrigin()) + .get(`/v1alpha/projects/${requestProjectNumber}/apps/${appId}/events:batchGet`) + .query({ + "event.names": eventNames, + }) + .reply(500, { error: "Internal Server Error" }); + + await expect(batchGetEvents(appId, eventNames)).to.be.rejectedWith( + FirebaseError, + `Failed to batch get events for app_id ${appId}.`, + ); + }); + + it("should throw a FirebaseError if there are too many events", async () => { + const tooManyEventNames = Array.from(Array(101).keys()).map( + (i) => + `projects/1234567890/apps/1:1234567890:android:abcdef1234567890/events/test_event_id_${i}`, + ); + await expect(batchGetEvents(appId, tooManyEventNames)).to.be.rejectedWith( + FirebaseError, + "Too many events in batchGet request", + ); + }); + }); }); diff --git a/src/crashlytics/events.ts b/src/crashlytics/events.ts index d1352e3d0fa..0727ef26d73 100644 --- a/src/crashlytics/events.ts +++ b/src/crashlytics/events.ts @@ -1,7 +1,7 @@ import { logger } from "../logger"; import { FirebaseError, getError } from "../error"; import { CRASHLYTICS_API_CLIENT, parseProjectNumber, TIMEOUT } from "./utils"; -import { ListEventsResponse } from "./types"; +import { BatchGetEventsResponse, ListEventsResponse } from "./types"; import { EventFilter, filterToUrlSearchParams } from "./filters"; /** @@ -43,3 +43,44 @@ export async function listEvents( }); } } + +/** + * Get multiple events by resource name. + * Can be used with the `sampleEvent` resource included in topIssues reports. + * @param appId Firebase app_id + * @param eventNames the resource names for the desired events. + * Format: "projects/{project}/apps/{app_id}/events/{event_id}" + * @return A BatchGetEventsResponse including an array of Event. + */ +export async function batchGetEvents( + appId: string, + eventNames: string[], +): Promise { + const requestProjectNumber = parseProjectNumber(appId); + if (eventNames.length > 100) throw new FirebaseError("Too many events in batchGet request"); + logger.debug( + `[crashlytics] batchGetEvents called with appId: ${appId}, eventNames: ${eventNames.join(", ")}`, + ); + const queryParams = new URLSearchParams(); + eventNames.forEach((en) => { + queryParams.append("event.names", en); + }); + + try { + const response = await CRASHLYTICS_API_CLIENT.request({ + method: "GET", + headers: { + "Content-Type": "application/json", + }, + path: `/projects/${requestProjectNumber}/apps/${appId}/events:batchGet`, + queryParams: queryParams, + timeout: TIMEOUT, + }); + + return response.body; + } catch (err: unknown) { + throw new FirebaseError(`Failed to batch get events for app_id ${appId}.`, { + original: getError(err), + }); + } +} diff --git a/src/crashlytics/filters.ts b/src/crashlytics/filters.ts index 2d64ea08cc1..f3ceb26120c 100644 --- a/src/crashlytics/filters.ts +++ b/src/crashlytics/filters.ts @@ -14,8 +14,14 @@ export const IssueIdSchema = z.string().describe("Crashlytics issue id, as hexid export const EventFilterSchema = z .object({ - intervalStartTime: z.string().optional().describe(`A timestamp in ISO 8601 string format`), - intervalEndTime: z.string().optional().describe(`A timestamp in ISO 8601 string format.`), + intervalStartTime: z + .string() + .optional() + .describe(`A timestamp in ISO 8601 string format. Defaults to 7 days ago.`), + intervalEndTime: z + .string() + .optional() + .describe(`A timestamp in ISO 8601 string format. Defaults to now.`), versionDisplayNames: z .array(z.string()) .optional() diff --git a/src/crashlytics/issues.spec.ts b/src/crashlytics/issues.spec.ts index 277c25fc9ba..aca3f8a831e 100644 --- a/src/crashlytics/issues.spec.ts +++ b/src/crashlytics/issues.spec.ts @@ -68,7 +68,7 @@ describe("issues", () => { nock(crashlyticsApiOrigin()) .patch(`/v1alpha/projects/${requestProjectNumber}/apps/${appId}/issues/${issueId}`, { - issue: { state: state }, + state, }) .query({ updateMask: "state" }) .reply(200, mockResponse); diff --git a/src/crashlytics/issues.ts b/src/crashlytics/issues.ts index e6f500a43d8..b3881b030ad 100644 --- a/src/crashlytics/issues.ts +++ b/src/crashlytics/issues.ts @@ -51,7 +51,7 @@ export async function updateIssue(appId: string, issueId: string, state: State): }, path: `/projects/${requestProjectNumber}/apps/${appId}/issues/${issueId}`, queryParams: { updateMask: "state" }, - body: { issue: { state } }, + body: { state }, timeout: TIMEOUT, }); diff --git a/src/crashlytics/notes.ts b/src/crashlytics/notes.ts index 66684173a73..79c178507c8 100644 --- a/src/crashlytics/notes.ts +++ b/src/crashlytics/notes.ts @@ -44,7 +44,7 @@ export async function createNote(appId: string, issueId: string, note: string): * @param issueId Crashlytics issue id * @param noteId Crashlytics note id */ -export async function deleteNote(appId: string, issueId: string, noteId: string): Promise { +export async function deleteNote(appId: string, issueId: string, noteId: string): Promise { const requestProjectNumber = parseProjectNumber(appId); logger.debug( @@ -56,6 +56,7 @@ export async function deleteNote(appId: string, issueId: string, noteId: string) path: `/projects/${requestProjectNumber}/apps/${appId}/issues/${issueId}/notes/${noteId}`, timeout: TIMEOUT, }); + return `Deleted note ${noteId}`; } catch (err: unknown) { throw new FirebaseError( `Failed to delete note ${noteId} from issue ${issueId} for app ${appId}`, diff --git a/src/crashlytics/types.ts b/src/crashlytics/types.ts index 97f266aa809..20d7993c5ed 100644 --- a/src/crashlytics/types.ts +++ b/src/crashlytics/types.ts @@ -458,16 +458,12 @@ export enum ThreadState { /** Request message for the ListEvents method. */ export interface ListEventsRequest { - /** The Firebase application. Formatted like "projects/{project}/apps/{app_id}" */ - parent: string; /** The maximum number of events per page. If omitted, defaults to 10. */ pageSize?: number; /** A page token, received from a previous calls. */ pageToken?: string; /** Filter only the desired events. */ filter?: EventFilters; - /** The list of Event fields to include in the response. If omitted, the full event is returned. */ - readMask?: string; } /** Response message for the ListEvents method. */ @@ -478,6 +474,22 @@ export interface ListEventsResponse { nextPageToken?: string; } +/** Request message for the BatchGetEvents method. */ +export interface BatchGetEventsRequest { + /** + * The resource names of the desired events. + * A maximum of 100 events can be retrieved in a batch. + * Format: "projects/{project}/apps/{app_id}/events/{event_id}" + */ + names: string[]; +} + +/** Response message for the BatchGetEvents method. */ +export interface BatchGetEventsResponse { + /** Returns one or more events. */ + events: Event[]; +} + /** * Filters for ListEvents method. * Multiple conditions for the same field are combined in an ‘OR’ expr @@ -590,8 +602,6 @@ export interface DeviceFilter { /** The request method for the GetReport method. */ export interface GetReportRequest { - /** The report name. Formatted like "projects/{project}/apps/{app_id}/reports/{report}". */ - name: string; /** Filters to customize the report. */ filter?: ReportFilters; /** The maximum number of result groups to return. If omitted, defaults to 25. */ @@ -637,8 +647,6 @@ export interface ReportFilters { /** Request message for the UpdateIssue method. */ export interface UpdateIssueRequest { - /** The issue to update. */ - issue: Issue; - /** The list of Issue fields to update. Currently only "state" is mutable. */ - updateMask?: string; + /** Only the "state" field is mutable. */ + state: State; } diff --git a/src/mcp/prompts/crashlytics/connect.ts b/src/mcp/prompts/crashlytics/connect.ts index 24549469833..43b3ed59d3b 100644 --- a/src/mcp/prompts/crashlytics/connect.ts +++ b/src/mcp/prompts/crashlytics/connect.ts @@ -53,8 +53,11 @@ they would like to perform. Here are some possibilities and instructions follow Follow these steps to fetch issues and prioritize them. - 1. Use the 'crashlytics_list_top_issues' tool to fetch up to 20 issues. - 2. Use the 'crashlytics_list_top_versions' tool to fetch the top versions for this app. + 1. Use the 'crashlytics_get_top_issues' tool to fetch up to 20 issues. + 1a. Analyze the user's query and apply the appropriate filters. + 1b. If the user asks for crashes, then set the issueErrorType filter to *FATAL*. + 1c. If the user asks about a particular time range, then set both the intervalStartTime and intervalEndTime. + 2. Use the 'crashlytics_get_top_versions' tool to fetch the top versions for this app. 3. If the user instructions include statements about prioritization, use those instructions. 4. If the user instructions do not include statements about prioritization, then prioritize the returned issues using the following criteria: @@ -73,8 +76,9 @@ Follow these steps to fetch issues and prioritize them. Follow these steps to diagnose and fix issues. 1. Make sure you have a good understanding of the code structure and where different functionality exists - 2. Use the 'crashlytics_get_issue_details' tool to get more context on the issue. - 3. Use the 'crashlytics_get_sample_crash_for_issue' tool to get 3 example crashes for this issue. + 2. Use the 'crashlytics_get_issue' tool to get more context on the issue. + 3. Use the 'crashlytics_list_events' tool to get an example crash for this issue. + 3a. Apply the same filtering criteria that you used to find the issue, so that you find an appropriate event. 4. Read the files that exist in the stack trace of the issue to understand the crash deeply. 5. Determine the root cause of the crash. 6. Write out a plan using the following criteria: diff --git a/src/mcp/tools/crashlytics/notes.ts b/src/mcp/tools/crashlytics/notes.ts index f28c18b4db6..f312d415b63 100644 --- a/src/mcp/tools/crashlytics/notes.ts +++ b/src/mcp/tools/crashlytics/notes.ts @@ -66,7 +66,8 @@ export const delete_note = tool( }), annotations: { title: "Delete Crashlytics Issue Note", - readOnlyHint: true, + readOnlyHint: false, + destructiveHint: true, }, _meta: { requiresAuth: true, diff --git a/src/mcp/tools/crashlytics/reports.ts b/src/mcp/tools/crashlytics/reports.ts index 87d52930187..b241b926051 100644 --- a/src/mcp/tools/crashlytics/reports.ts +++ b/src/mcp/tools/crashlytics/reports.ts @@ -16,6 +16,10 @@ function getReportContent( return async ({ appId, filter, pageSize }) => { if (!appId) return mcpError(`Must specify 'appId' parameter.`); filter ??= {}; + if (!!filter.intervalStartTime && !filter.intervalEndTime) { + // interval.end_time is required if interval.start_time is set but the agent likes to forget it + filter.intervalEndTime = new Date().toISOString(); + } return toContent(await getReport(report, appId, filter, pageSize)); }; } From 594d19ba881cb2d77a2f34024be935f8b4cda532 Mon Sep 17 00:00:00 2001 From: Cleo Schneider Date: Fri, 19 Sep 2025 12:48:30 -0400 Subject: [PATCH 07/37] Tweak the connect prompt to look at gitignored files and to be less eager to do more than check your login status (#9133) * Tweak the connect prompt to look at gitignored files and to be less eager to do more than check your login status * Loosen prescriptiveness, ease testing proactivity, come up with multiple root causes * Respond to prompt review comments. --- src/mcp/prompts/crashlytics/connect.ts | 71 +++++++++++++++++--------- 1 file changed, 47 insertions(+), 24 deletions(-) diff --git a/src/mcp/prompts/crashlytics/connect.ts b/src/mcp/prompts/crashlytics/connect.ts index 43b3ed59d3b..53b0f95dd5a 100644 --- a/src/mcp/prompts/crashlytics/connect.ts +++ b/src/mcp/prompts/crashlytics/connect.ts @@ -24,19 +24,36 @@ Active user: ${accountEmail || ""} ## Required first steps! Absolutely required! Incredibly important! 1. **Make sure the user is logged in. No Crashlytics tools will work if the user is not logged in.** - a. Use the \`firebase_get_environment\` tool to verify that the user is logged in, - and find the active Firebase project. + a. Use the \`firebase_get_environment\` tool to verify that the user is logged in. b. If the Firebase 'Active user' is set to , instruct the user to run \`firebase login\` - before continuing. - - 2. **Get the app_id for the Firebase application.** - a. If this is an Android app, read the mobilesdk_app_id value specified in the - google-services.json file. If there are multiple files or multiple app ids in a - single file, ask the user to choose one by providing a numbered list of all the package names. - b. If this is an iOS app, read the GOOGLE_APP_ID from GoogleService-Info.plist file. - If there are multiple files or multiple app ids in single file, ask the user to - choose one by providing a numbered list of all the bundle names. - c. If you can't find either of the above, just ask the user for the app id. + before continuing. Ignore other fields that are set to . We are just making sure the + user is logged in. + + 2. **Get the app ID for the Firebase application.** + + Use the information below to help you find the developer's app ID. If you cannot find it after 2-3 + attempts, just ask the user for the value they want to use, providing the description of what the + value looks like. + + * **Description:** The app ID we are looking for contains four colon (":") delimited parts: a version + number (typically "1"), a project number, a platform type ("android", "ios", or "web"), + and a sequence of hexadecimal characters. This can be found in the project settings in the Firebase Console + or in the appropriate google services file for the application type. + * For Android apps, you will typically find the app ID in a file called google-services.json under the + mobilesdk_app_id key. The file is most often located in the app directory that contains the src directory. + * For iOS apps, you will typically find the app ID in a property list file called GoogleService-Info.plist under the + GOOGLE_APP_ID key. The plist file is most often located in the main project directory. + * Sometimes developers will not check in the google services file because it is a shared or public + repository. If you can't find the file, the files may be included in the .gitignore. Check again for the file + removing restrictions around looking for tracked files. + * Developers may have multiple google services files that map to different releases. In cases like this, + developers may create different directories to hold each like alpha/google-services.json or alpha/GoogleService-Info.plist. + In other cases, developers may change the suffix of the file to something like google-services-alpha.json or + GoogleService-Alpha.plist. Look for as many google services files as you can find. + * Sometimes developers may include the codebase for both the Android app and the iOS app in the same repository. + * If there are multiple files or multiple app IDs in a single file, ask the user to choose one by providing + a numbered list of all the package names. + * Again, if you have trouble finding the app ID, just ask the user for it. ## Next steps @@ -70,6 +87,7 @@ Follow these steps to fetch issues and prioritize them. * * **Description:** * **Rationale:** + 6. Ask the user if they would like to diagnose and fix any of the issues presented ### How to diagnose and fix issues @@ -80,16 +98,18 @@ Follow these steps to diagnose and fix issues. 3. Use the 'crashlytics_list_events' tool to get an example crash for this issue. 3a. Apply the same filtering criteria that you used to find the issue, so that you find an appropriate event. 4. Read the files that exist in the stack trace of the issue to understand the crash deeply. - 5. Determine the root cause of the crash. - 6. Write out a plan using the following criteria: - 6a. Write out a description of the issue and including + 5. Determine possible root causes for the crash - no more than 5 potential root causes. + 6. Critique your own determination, analyzing how plausible each scenario is given the crash details. + 7. Choose the most likely root cause given your analysis. + 8. Write out a plan for the most likely root cause using the following criteria: + 8a. Write out a description of the issue and including * A brief description of the cause of the issue - * A determination of your level of confidence in the cause of the issue + * A determination of your level of confidence in the cause of the issue using your analysis. * A determination of which library is at fault, this codebase or a dependent library * A determination for how complex the fix will be - 6b. The plan should include relevant files to change - 6c. The plan should include a test plan to verify the fix - 6d. Use the following format for the plan: + 8b. The plan should include relevant files to change + 8c. The plan should include a test plan for how the user might verify the fix + 8d. Use the following format for the plan: ## Cause @@ -105,12 +125,15 @@ Follow these steps to diagnose and fix issues. 1. 2. + + ## Other potential causes + 1. + 2. - 7. Present the plan to the user and get approval before making the change. - 8. Fix the issue. - 8a. Be mindful of API contracts and do not add fields to resources without a clear way to populate those fields - 8b. If there is not enough information in the crash report to find a root cause, describe why you cannot fix the issue instead of making a guess. - 9. Ask the developer if they would like you to test the fix for them. + 9. Present the plan to the user and get approval before making the change. + 10. Only if they approve the plan, create a fix for the issue. + 10a. Be mindful of API contracts and do not add fields to resources without a clear way to populate those fields + 10b. If there is not enough information in the crash report to find a root cause, describe why you cannot fix the issue instead of making a guess. `.trim(), }, }, From f0e450ca8c2c1d70dff75d0628a5bedd4dc696d6 Mon Sep 17 00:00:00 2001 From: Fred Zhang Date: Fri, 19 Sep 2025 11:58:24 -0700 Subject: [PATCH 08/37] [VS Code] Remove unused codes associated with gca cmds (#9117) --- .../data-connect/ai-tools/gca-tool-types.ts | 509 ------------------ .../src/data-connect/ai-tools/gca-tool.ts | 238 -------- .../data-connect/ai-tools/tool-controller.ts | 289 ---------- .../src/data-connect/ai-tools/types.ts | 25 - firebase-vscode/src/data-connect/index.ts | 13 +- firebase-vscode/src/data-connect/service.ts | 59 +- .../cloudAICompanionClient.spec.ts | 94 ---- src/dataconnect/cloudAICompanionClient.ts | 106 ---- 8 files changed, 4 insertions(+), 1329 deletions(-) delete mode 100644 firebase-vscode/src/data-connect/ai-tools/gca-tool-types.ts delete mode 100644 firebase-vscode/src/data-connect/ai-tools/gca-tool.ts delete mode 100644 firebase-vscode/src/data-connect/ai-tools/tool-controller.ts delete mode 100644 firebase-vscode/src/data-connect/ai-tools/types.ts delete mode 100644 src/dataconnect/cloudAICompanionClient.spec.ts delete mode 100644 src/dataconnect/cloudAICompanionClient.ts diff --git a/firebase-vscode/src/data-connect/ai-tools/gca-tool-types.ts b/firebase-vscode/src/data-connect/ai-tools/gca-tool-types.ts deleted file mode 100644 index 183b81354f4..00000000000 --- a/firebase-vscode/src/data-connect/ai-tools/gca-tool-types.ts +++ /dev/null @@ -1,509 +0,0 @@ -import { - CancellationToken, - Disposable, - MarkdownString, - ThemeIcon, - Uri, -} from "vscode"; - -/** - * The public API for Gemini Code Assist to be utilized by external providers to - * extend Gemini Code Assist functionality. - */ -export interface GeminiCodeAssist extends Disposable { - /** - * Registers the caller as a tool for Gemini Code Assist. The tool will be - * identified to the end user through the id parameter. The tool will further - * identify itself through the extension id. An extension may choose to - * register any number of tools. - * @param id The id to use when referring to the tool. For example this may - * be `gemini` so that the tool will be addressed as `@gemini` by the user. - * Note that this id cannot be reused by another tool or other entity like - * a variable provider. - * @param displayName The name of the tool, to be used when referring to the - * tool in chat. - * @param extensionId The extension that implements the tool. The tool's - * icon will be loaded from this extension by default and used when - * displaying the tool's participation in chat. - * @param iconPath The path to the tool's icon, can be an icon for any theme, - * contain a dark and light icon or be a ThemeIcon type. The iconPath should be a join - * of the extension path and the relative path to the icon. - * @param command A command for Gemini Code Assist to execute on activation. - * If this is specified by the tool registration Gemini Code Assist will wait - * for the tool's extension to activate and then execute the command - * specified. This can be used to allow the tool to guarantee registration - * whenever Gemini Code Assist is loaded. - * @return The tool's registration to be modified by the tool provider with - * the capabilities of the tool. - */ - registerTool( - id: string, - displayName: string, - extensionId: string, - iconPath?: Uri | { dark: Uri; light: Uri } | ThemeIcon, - command?: string, - ): GeminiTool; -} - -/** - * Represents a tool to Gemini Code Assist. This allows the external provider - * to provide specific services to Gemini Code Assist. Upon dispose this tool - * registration will be removed from Gemini Code Assist for this instance only. - * Upon subsequent activations Gemini Code Assist will attempt to execute the - * command that was specified in the tool's registration if any was specified. - */ -export interface GeminiTool extends Disposable { - /** - * Registers a handler for chat. This allows the tool to handle incoming - * chat requests. - * @param handler The chat handler method that will be called with the - * registered tool is called. - * @return Disposable for subscription purposes, calling dispose will remove - * the registration. - */ - registerChatHandler(handler: ChatHandler): Disposable; - - /** - * Registers a variable provider for the tool. Variable provider ids should - * be unique for the tool but other tools may choose to implement the same - * provider id. For example `@bug` could be registered to `@jira` and - * `@github`. - * @param id The variable provider id, used to isolate typeahead to a specific - * variable type. For example using `@bug` will allow users to limit - * typeahead to bugs only instead of anything that can be completed. - * @param provider The provider to register, this will provide both static - * resolution as well as dynamic resolution. - * @return Disposable for removing the variable provider from Gemini Code - * Assist. - */ - registerVariableProvider(id: string, provider: VariableProvider): Disposable; - - /** - * Registers a slash command provider for the tool. This allows the tool - * to provide slash commands for the user. For example `/list` can be - * registered to the `@jira` tool to list bugs assigned to the user. - * @param provider The slash command provider to be registered. - * @return Disposable for removing the command provider from Gemini Code - * Assist. - */ - registerCommandProvider(provider: CommandProvider): Disposable; - - /** - * Registers a suggested prompt provider for the tool. This allows the tool - * to provide suggestions of prompts that the user can either tab complete or - * click to use. - * @param provider The child provider to be registered. - * @return Disposable for removing the suggested prompt provider from Gemini - * Code Assist. - */ - registerSuggestedPromptProvider( - provider: SuggestedPromptProvider, - ): Disposable; -} - -/** - * Provides suggested prompts which serve as example queries for the tool. - * These suggested prompts allow the user to see specific examples when using - * the tool and give some guidance as to helpful prompts as a starting point for - * using the tool with Gemini Code Assist. - */ -export interface SuggestedPromptProvider { - /** - * Provides a list of suggested prompts for the tool that will be displayed to - * the user as examples or templates for using the tool. In this text the - * user can specify placeholder text as text surrounded by square brackets. - * For example a suggested prompt value of `/generate an api specification for - * [function]` provided by `apigee` would provide a suggested prompt of - * `@apigee /generate an api specification for [function]` and the user would - * be prompted to supply a value for the [function] placeholder. - */ - provideSuggestedPrompts(): string[]; -} - -/** - * Provides the chat handler functionality to Gemini Code Assist, allowing a - * tool to extend chat. Through this handler the tool can service chat - * requests, add context for Gemini chat requests, and/or rewrite the prompt - * before it is sent to the LLM service. - */ -export interface ChatHandler { - /** - * @param request The chat request, can be used to manipulate the prompt and - * reference parts. - */ - ( - request: ChatRequest, - responseStream: ChatResponseStream, - token: CancellationToken, - ): Promise; -} - -/** - * Provides support for variables through the `@` designator. For example - * `@repo` could represent the current repository for a SCM tool. This - * interface allows the tool to provide a static list of variables as well as - * a dynamic list. - */ -export interface VariableProvider { - /** - * Allows the tool to return a static list of variables that it supports. - * This list is not expected to change as the user is typing. - * @return Returns a list of variables instances. - */ - listVariables(): Promise; - - /** - * Allows for dynamic variable support. This function will allow the tool - * to resolve variables as the user types. - * @param part Current text part that the user has typed, this is what - * currently follows the `@` symbol in the user's prompt. - * @param limit The number of typeahead suggestions that the UI will show to - * the user at once. - * @param token Supports cancellation (user types an additional character). - * @return Returns a list of variable instances that match the type ahead. - */ - typeahead( - part: string, - limit: number, - token: CancellationToken, - ): Promise; -} - -/** - * Represents a variable instance, the name and description are used to display - * the variable to the user. The variable instance will be passed as is to the - * tool, so it can carry any additional context necessary. - */ -export interface Variable { - /** - * The name of the variable, this would be what the variable looks like to the - * user. - */ - name: string; - - /** - * The optional description of the variable to show the user in the UX. - */ - description?: string | MarkdownString; -} - -/** - * Provides support for commands through the `/` designator. This takes the - * form of `@tool /command`. - */ -export interface CommandProvider { - /** - * Lists the slash commands provided by the tool. - * @return Command gives a list of the commands provided by the tool. - */ - listCommands(): Promise; -} - -/** - * CommandDetail exports a command along with any other context the tool may - * want to have in coordination with the command. - */ -export interface CommandDetail { - /** - * The string that identifies the command in question. - */ - command: string; - - /** - * The optional description of the slash command to display to the user. - */ - description?: string | MarkdownString; - - /** - * The optional codicon of the slash command. - */ - icon?: string; -} - -/** - * CommandPromptPart is the part of the prompt that is associated with a slash - * command. - */ -export interface CommandPromptPart extends PromptPart { - /** - * The CommandDetail provided by the CommandProvider's listCommands() - * function. - */ - command: CommandDetail; -} - -/** - * Provides the context for the chat request. The context can be used to - * provide additional information to the LLM service. - */ -export interface ChatRequestContext { - /** - * Pushes a new context onto the context stack. - * @param context The context to push. - */ - push(context: ChatContext | VariableChatContext): void; -} - -/** - * Represents a context that can be used to provide additional information to the - * LLM service. - */ -export interface ChatContext { - /** - * The id of the reference that this context is associated with. - */ - id: string | Uri; - - /** - * Gets the text of the context. - */ - getText(): string; -} - -/** - * Represents a context for a variable in the prompt. - */ -export interface VariableChatContext extends ChatContext { - /** - * The variable that this context represents. - */ - variable: Variable; -} - -/** - * Represents a chat request which is comprised of a prompt and context. - */ -export interface ChatRequest { - /** - * The prompt of the chat request. This can be manipulated by the tool. - */ - prompt: ChatPrompt; - - /** - * The context for the request. This can be used by the tool to add context - * to the request. - */ - context: ChatRequestContext; -} - -/** - * Represents the current chat prompt. - */ -export interface ChatPrompt { - /** - * Used to retrieve all parts of the prompt, including the tool prompts. - * @return An array of all parts of the prompt in order that they appear. - */ - getPromptParts(): PromptPart[]; - - /** - * Removes the specified prompt part. - * @param part The prompt part to remove. - */ - deletePromptPart(part: PromptPart): void; - - /** - * Splices in prompt part(s) similarly to Array.splice(). This can be used to - * insert a number of prompt part(s) (including none) and can remove existing - * elements. - * @param index The starting index for the splice operation. - * @param remove The number of elements to remove. - * @param parts The prompt part(s) to insert. - */ - splice(index: number, remove: number, ...parts: PromptPart[]): void; - - /** - * Pushes the prompt part(s) into the chat prompt. These part(s) are appended - * similarly to array.push(). - * @param parts The prompt part(s) to push. - */ - push(...parts: PromptPart[]): void; - - /** - * Returns the string representation of the prompt. - */ - fullPrompt(): string; - - /** - * The length of the prompt in parts. - */ - length: number; -} - -/** - * Represents a prompt part that is provided by a tool. - */ -export interface PromptPart { - /** - * Gets the prompt of the prompt part. - */ - getPrompt(): string; -} - -/** - * Represents a prompt part that is provided by a tool. - */ -export interface ToolPromptPart extends PromptPart { - /** - * The id of the tool that provided the prompt part. - */ - toolId: string; - - /** - * The command of the prompt part. - */ - command: string; -} - -/** - * Represents a prompt part that refers to a variable. - */ -export interface VariablePromptPart extends PromptPart { - variable: Variable; -} - -/** - * Represents a stream of chat responses. Used by the tool to provide chat - * based responses to the user. This stream can be used to push both partial - * responses as well as to close the stream. - */ -export interface ChatResponseStream { - /** - * Pushes a new content onto the response stream. - * @param content The content to push. - */ - push(content: MarkdownString | Citation): void; - - /** - * Closes the steam and prevents the request from going to the LLM after tool - * processing. This can be utilized by the client for commands that are - * client only. Returning without calling close will result in the processed - * prompt and context being sent to the LLM for a result. - */ - close(): void; - - /** - * Adds a button handler to code responses that come back from the LLM. This - * allows the tool to present the user with a button attached to this response - * and on click process the code response. - * @param title The title of the button. - * @param handler The handler to execute when the user clicks on the button. - * The code block will be sent as an argument to the handler on execution as - * CodeHandlerCommandArgs. - * @param languageFilter Optional parameter, if this is specified the - * language specified on the block will be checked for a match against this - * and the button will be displayed on match. If this is not specified the - * buttone will be displayed on any language result. - */ - addCodeHandlerButton( - title: string, - handler: CodeHandler, - options: HandlerButtonOptions, - ): void; -} - -/** - * Method for handling code responses from the LLM attached to the response via - * ChatResponseStream.addCodeHandlerButton. - */ -export interface CodeHandler { - /** - * @param args The code block and language specifiers from the LLM response to - * handle. Called when the user clicks on a CodeHandlerButton. - */ - (args: CodeHandlerCommandArgs): void; -} - -/** - * The arguments that are sent when calling the command associated with the - * addCodeHandlerButton method. - */ -export interface CodeHandlerCommandArgs { - /** - * The code block that was attached to the code handler button. - */ - codeBlock: string; - /** - * The language specifier on the code block associated with the code handler - * button. - */ - language: string; -} - -/** - * Provides options for a code handler button. This allows the tool to - * specialize the way GCA handles specific code blocks when the agent is - * involved. - */ -export interface HandlerButtonOptions { - /** - * Optional parameter, if this is specified the language specified on the - * block will be checked for a match against this and the button will be - * displayed on match. If this is not specified the button will be displayed - * on any language result. - */ - languages?: RegExp; - - /** - * Optional, if this is specified the block will be either expanded or - * collapsed as specified. If this is not specified the built in default - * handler will be used. - */ - displayType?: BlockDisplayType; -} - -/** - * Specifies how code blocks should be handled in chat. - */ -export enum BlockDisplayType { - /** - * The code block will be expanded by default. - */ - Expanded, - - /** - * The code block will be collapsed by default. - */ - Collapsed, -} - -/** - * Represents the type of citation. - */ -export enum CitationType { - /** - * General citation where the link is from a unspecific source. - */ - Unknown, - - /** - * The citation originates from the user's machine, for example a file on the - * user's disk. - */ - Local, - - /** - * The citation comes from Github. - */ - Github, -} - -/** - * Represents a citation. - */ -export interface Citation { - /** - * The URI of the citation. - */ - uri: Uri; - - /** - * The license of the citation. - */ - license: string | undefined; - - /** - * The type of the citation. - */ - type: CitationType; -} diff --git a/firebase-vscode/src/data-connect/ai-tools/gca-tool.ts b/firebase-vscode/src/data-connect/ai-tools/gca-tool.ts deleted file mode 100644 index e93554a5802..00000000000 --- a/firebase-vscode/src/data-connect/ai-tools/gca-tool.ts +++ /dev/null @@ -1,238 +0,0 @@ -import { AnalyticsLogger } from "../../analytics"; -import { ExtensionBrokerImpl } from "../../extension-broker"; -import * as vscode from "vscode"; -import { DataConnectService } from "../service"; -import { - ChatPrompt, - ChatRequest, - ChatResponseStream, - CommandDetail, - CommandProvider, - GeminiCodeAssist, -} from "./gca-tool-types"; -import { insertToBottomOfActiveFile } from "../file-utils"; -import { ExtensionContext } from "vscode"; -import { Chat, Command } from "./types"; -import { GeminiToolController } from "./tool-controller"; -import { ChatMessage } from "../../dataconnect/cloudAICompanionTypes"; -export const DATACONNECT_TOOL_ID = "FirebaseDataConnect"; -const AT_DATACONNECT_TOOL_ID = `@${DATACONNECT_TOOL_ID}`; -export const DATACONNECT_DISPLAY_NAME = "Firebase Data Connect"; -export const SUGGESTED_PROMPTS = [ - "/generate_schema Create a schema for a pizza store", - "/generate_operation Create a mutations for all my types", -]; -const HELP_MESSAGE = ` -Welcome to the Data Connect Tool. -Usage: - ${AT_DATACONNECT_TOOL_ID} /generate_schema \n - ${AT_DATACONNECT_TOOL_ID} /generate_operation -`; - -export class GCAToolClient { - private history: Chat[] = []; - private icon = vscode.Uri.joinPath( - this.context.extensionUri, - "resources", - "firebase_dataconnect_logo.png", - ); - constructor( - private context: ExtensionContext, - private toolController: GeminiToolController, - ) {} - - async activate() { - const gemini = vscode.extensions.getExtension( - "google.geminicodeassist", - ); - if (!gemini || !gemini.isActive) { - throw new Error("Gemini extension not found"); // should never happen, gemini is an extension depedency - } - - gemini?.activate().then(async (gca) => { - const tool = gca.registerTool( - DATACONNECT_TOOL_ID, - DATACONNECT_DISPLAY_NAME, - "GoogleCloudTools.firebase-dataconnect-vscode", - this.icon, - "help", - ); - tool.registerChatHandler(this.handleChat.bind(this)); - tool.registerSuggestedPromptProvider(this); - tool.registerCommandProvider( - new DataConnectCommandProvider(this.icon.toString()), - ); - }); - } - - /** implementation of handleChat interface; - * We redirect the request to our controller - */ - async handleChat( - request: ChatRequest, - responseStream: ChatResponseStream, - token: vscode.CancellationToken, - ): Promise { - // Helper just to convert to markdown first - function pushToResponseStream(text: string) { - const markdown = new vscode.MarkdownString(text); - responseStream.push(markdown); - } - - // Adds the Graphql code block button "Insert to bottom of file" - addCodeHandlers(responseStream); - - let response: ChatMessage[]; - - // parse the prompt - if (!isPromptValid(request.prompt)) { - pushToResponseStream(HELP_MESSAGE); - responseStream.close(); - return; - } - const content = getPrompt(request.prompt); - const command = getCommand(request.prompt); - - // Forward to tool controller - try { - this.history.push({ author: "USER", content, commandContext: command }); - response = await this.toolController.handleChat( - content, - this.history, - command, - ); - } catch (error) { - let errorMessage = ""; - if (error instanceof Error) { - errorMessage = error.message; - } else if (typeof error === "string") { - errorMessage = error; - } - - pushToResponseStream(errorMessage); - - // reset history on error - this.history = []; - responseStream.close(); - return; - } - const agentMessage = response.pop()?.content; - - if (agentMessage) { - this.history.push({ author: "AGENT", content: agentMessage }); - } - - pushToResponseStream( - agentMessage || "Gemini encountered an error. Please try again.}", - ); - responseStream.close(); - } - - provideSuggestedPrompts(): string[] { - return SUGGESTED_PROMPTS; - } -} - -class DataConnectCommandProvider implements CommandProvider { - schemaCommand: CommandDetail = { - command: Command.GENERATE_SCHEMA, - description: "Generates a GraphQL schema based on a prompt", - icon: this.icon, - }; - - operationCommand: CommandDetail = { - command: Command.GENERATE_OPERATION, - description: "Generates a GraphQL query or mutation based on a prompt", - icon: this.icon, - }; - - helpCommand: CommandDetail = { - command: "help", - description: "Shows this help message", - icon: this.icon, - }; - constructor(readonly icon: string) {} - listCommands(): Promise { - const commands: CommandDetail[] = [ - this.schemaCommand, - this.operationCommand, - // this.helpCommand, - ]; - return Promise.resolve(commands); - } -} - -/** Exploring a variable provider for dataconnect introspected types */ -// class DataConnectTypeVariableProvider implements VariableProvider { -// constructor(private fdcService: DataConnectService) {} -// async listVariables(): Promise { -// const introspection = await this.fdcService.introspect(); -// console.log(introspection); -// return introspection.data!.__schema.types.map((type) => { -// return { -// name: type.name, -// description: type.description as string, -// }; -// }); -// } - -// typeahead( -// part: string, -// limit: number, -// token: vscode.CancellationToken, -// ): Promise { -// throw new Error("Method not implemented."); -// } -// } - -// currently only supports a single button -function addCodeHandlers(responseStream: ChatResponseStream) { - responseStream.addCodeHandlerButton( - "Insert to bottom of file", - ({ codeBlock }) => { - insertToBottomOfActiveFile(codeBlock); - }, - { languages: /graphql|graphqllanguage/ }, - ); -} - -// Basic validation function to ensure deterministic command -function isPromptValid(prompt: ChatPrompt): boolean { - if (prompt.length < 2) { - return false; - } - if (prompt.getPromptParts()[0].getPrompt() !== AT_DATACONNECT_TOOL_ID) { - return false; - } - - return isCommandValid( - prompt.getPromptParts()[1].getPrompt().replace("/", ""), - ); -} - -function isCommandValid(command: string): boolean { - return (Object.values(Command) as string[]).includes(command); -} - -// get the /command without the / -function getCommand(prompt: ChatPrompt): Command { - if (prompt.length > 2) { - return prompt.getPromptParts()[1].getPrompt().replace("/", "") as Command; - } - - // fallback if prompt parts doesn't work - return prompt.fullPrompt().replace(AT_DATACONNECT_TOOL_ID, "").trimStart().split(" ")[0] as Command; -} - -// get the entire prompt without the @tool & /command -function getPrompt(prompt: ChatPrompt): string { - if ( - prompt.length > 2 && - prompt.getPromptParts()[0].getPrompt() === AT_DATACONNECT_TOOL_ID - ) { - return prompt.getPromptParts()[2].getPrompt(); - } - - // fallback if prompt parts doesn't work - return prompt.fullPrompt().replace(AT_DATACONNECT_TOOL_ID, "").replace(/\/\w+/, "").trimStart(); -} diff --git a/firebase-vscode/src/data-connect/ai-tools/tool-controller.ts b/firebase-vscode/src/data-connect/ai-tools/tool-controller.ts deleted file mode 100644 index 500334099b6..00000000000 --- a/firebase-vscode/src/data-connect/ai-tools/tool-controller.ts +++ /dev/null @@ -1,289 +0,0 @@ -import * as fs from "fs"; -import * as path from "path"; -import * as vscode from "vscode"; -import { Signal } from "@preact/signals-core"; - -import { Result } from "../../result"; -import { AnalyticsLogger } from "../../analytics"; -import { ResolvedDataConnectConfigs } from "../config"; -import { DataConnectService } from "../service"; -import { CloudAICompanionResponse, ChatMessage } from "../../dataconnect/cloudAICompanionTypes"; -import { ObjectTypeDefinitionNode, OperationDefinitionNode } from "graphql"; -import { getHighlightedText, findGqlFiles } from "../file-utils"; -import { CommandContext, Chat, Context, Command, BackendAuthor } from "./types"; -import { DATA_CONNECT_EVENT_NAME } from "../../analytics"; - -const USER_PREAMBLE = "This is the user's prompt: \n"; - -const SCHEMA_PROMPT_PREAMBLE = - "This is the user's current schema in their code base.: \n"; - -const NEW_LINE = "\n"; -const HIGHLIGHTED_TEXT_PREAMBLE = - "This is the highlighted code in the users active editor: \n"; - -/** - * Logic for talking to CloudCompanion API - * Handles Context collection and management - * - */ -export class GeminiToolController { - constructor( - private readonly analyticsLogger: AnalyticsLogger, - private readonly fdcService: DataConnectService, - private configs: Signal< - Result | undefined - >, - ) { - this.registerCommands(); - } - - // entry points from vscode to respsective tools - private registerCommands(): void { - /** Demo only */ - // vscode.commands.registerCommand( - // "firebase.dataConnect.refineOperation", - // async (ast: ObjectTypeDefinitionNode) => { - // this.highlightActiveType(ast); - // if (env.value.isMonospace) { - // vscode.commands.executeCommand("aichat.prompt", { - // prefillPrompt: "@data-connect /generate_operation ", - // }); - // } else { - // // change to prefill when GCA releases feature - // vscode.commands.executeCommand("cloudcode.gemini.chatView.focus"); - // } - // }, - // ); - /** End Demo only */ - } - private highlightActiveType(ast: ObjectTypeDefinitionNode) { - const editor = vscode.window.activeTextEditor; - if (!editor || !ast.loc) { - // TODO: add a warning, and skip this process - } else { - // highlight the schema in question - const startPostion = new vscode.Position( - ast.loc?.startToken.line - 1, - ast.loc?.startToken.column - 1, - ); - const endPosition = new vscode.Position( - ast.loc?.endToken.line, - ast.loc?.endToken.column - 1, - ); - editor.selection = new vscode.Selection(startPostion, endPosition); - } - } - - /** - * Entry point to chat interface; - * Builds prompt given chatHistory and generation type - * We use some basic heuristics such as - * - presence of previously generated code - * - activeEditor + any highlighted code - */ - public async handleChat( - userPrompt: string, // prompt without toolname and command - chatHistory: Chat[], - command: Command, - ): Promise { - let prompt = ""; - let currentChat: Chat = { - author: "USER", - content: "to_be_set", - commandContext: CommandContext.NO_OP /* to be set */, - }; - let type: "schema" | "operation"; - - // set type - if (command === Command.GENERATE_OPERATION) { - type = "operation"; - this.analyticsLogger.logger.logUsage( - DATA_CONNECT_EVENT_NAME.GEMINI_OPERATION_CALL, - ); - } else if (command === Command.GENERATE_SCHEMA) { - type = "schema"; - this.analyticsLogger.logger.logUsage( - DATA_CONNECT_EVENT_NAME.GEMINI_SCHEMA_CALL, - ); - } else { - // undetermined process - chatHistory.push({ - author: "MODEL", - content: - "Gemini is unable to complete that request. Try '/generate_schema' or '/generate_operation' to get started.", - }); - return chatHistory; - } - - //TODO: deal with non-open editor situation - const currentDocumentPath = - vscode.window.activeTextEditor?.document.uri.path; - - // get additional context - const schema = await this.collectSchemaText(); - const highlighted = getHighlightedText(); - - // check if highlighted is a single operation - if (highlighted) { - prompt = prompt.concat(HIGHLIGHTED_TEXT_PREAMBLE, highlighted); - } - - // only add schema for operation generation - if (schema && command === Command.GENERATE_OPERATION) { - prompt = prompt.concat(SCHEMA_PROMPT_PREAMBLE, schema); - } - - // finalize prompt w/ user prompt - prompt = prompt.concat(USER_PREAMBLE, userPrompt); - - const resp = await this.callGenerateApi( - currentDocumentPath || "", - prompt, - type, - this.cleanHistory(chatHistory, type), - ); - - if (resp.error) { - this.analyticsLogger.logger.logUsage( - DATA_CONNECT_EVENT_NAME.GEMINI_ERROR, - ); - return [{ author: "MODEL", content: resp.error.message }]; - } - - return resp.output.messages; - } - - // clean history for API consumption - public cleanHistory(history: ChatMessage[], type: string): Chat[] { - if (type === "operation") { - // operation api uses "SYSTEM" to represent API responses - return history.map((item) => { - if ( - item.author.toUpperCase() === "MODEL" || - item.author.toUpperCase() === "AGENT" - ) { - item.author = "SYSTEM"; - } - - if (item.author.toUpperCase() === "USER") { - item.author = "USER"; // set upper case - } - // remove command context - return { author: item.author, content: item.content }; - }); - } else { - return history.map((item) => { - if ( - item.author.toUpperCase() === "AGENT" || - item.author.toUpperCase() === "SYSTEM" - ) { - item.author = "MODEL"; - } - item.author = item.author.toUpperCase(); - - return { - author: item.author, - content: item.content, - }; - }); - } - } - - async callGenerateApi( - documentPath: string, - prompt: string, - type: "schema" | "operation", - chatHistory: Chat[], - ): Promise { - // TODO: Call Gemini API with the document content and context - try { - const response = await this.fdcService.generateOperation( - documentPath, - prompt, - type, - chatHistory, - ); - if (!response) { - throw new Error("No response from Cloud AI API"); - } - return response; - } catch (error) { - throw new Error(`Failed to call Gemini API: ${error}`); - } - } - - async collectSchemaText(): Promise { - try { - const service = this.configs?.value?.tryReadValue?.values[0]; - - if (!service) { - // The entrypoint is not a codelens file, so we can't determine the service. - return ""; - } - - let schema: string = ""; - const schemaPath = path.join(service.path, service.schemaDir); - const schemaFiles = await findGqlFiles(schemaPath); - for (const file of schemaFiles) { - schema = schema.concat(fs.readFileSync(file, "utf-8")); - } - return schema; - } catch (error) { - throw new Error(`Failed to collect GQL files: ${error}`); - } - } - - /** Demo usage only */ - private async setupRefineOperation(prompt: string, chatHistory: Chat[]) { - const preamble = - "This is the GraphQL Operation that was generated previously: "; - - // TODO: more verification - const lastChat = chatHistory.pop(); - let operation = ""; - if (!lastChat) { - // could not find an operation, TODO: response appropriately - } else { - operation = lastChat.content; - } - - return preamble.concat(NEW_LINE, operation); - } - - private async setupRefineSchema(prompt: string, chatHistory: Chat[]) { - const SCHEMA_PREAMBLE = - "This is the GraphQL Schema that was generated previously: \n"; - - // TODO: more verification - const lastChat = chatHistory.pop(); - let schema = ""; - if (!lastChat) { - // could not find a schema, use the schema in editor - schema = await this.collectSchemaText(); - } else { - schema = lastChat.content; - } - - return prompt.concat(SCHEMA_PREAMBLE, schema); - } - - private isAuthorBackend(author: string) { - return Object.values(BackendAuthor).includes(author); - } - - // checks if last chat in the history is a generated code response from a model - private isLastChatGenerated(chatHistory: Chat[]): boolean { - const lastChat = chatHistory.pop(); - return ( - lastChat !== undefined && - this.isAuthorBackend(lastChat.author) && - lastChat.commandContext !== undefined && - lastChat.commandContext !== CommandContext.NO_OP - ); - } - - /** End demo code */ - - dispose() {} -} diff --git a/firebase-vscode/src/data-connect/ai-tools/types.ts b/firebase-vscode/src/data-connect/ai-tools/types.ts deleted file mode 100644 index 8d3dbc7df29..00000000000 --- a/firebase-vscode/src/data-connect/ai-tools/types.ts +++ /dev/null @@ -1,25 +0,0 @@ -import { ChatMessage } from "../../dataconnect/cloudAICompanionTypes"; - -export enum Command { - GENERATE_SCHEMA = "generate_schema", - GENERATE_OPERATION = "generate_operation", -} -export enum Context { - REFINE_SCHEMA = "refine_schema", - REFINE_OPERATION = "refine_op", - NO_OP = "no_op", // not no_operation, it's just a no-op -} -// export type CommandContext = Command | Context; -export const CommandContext = { ...Command, ...Context }; -export type CommandContextType = Command | Context; - -// adds context to the ChatMessage type for reasoning -export interface Chat extends ChatMessage { - commandContext?: CommandContextType; -} - -// represents a backend chat response -export const BackendAuthor = { - MODEL: "MODEL", // schema api - SYSTEM: "SYSTEM", // operation api -}; diff --git a/firebase-vscode/src/data-connect/index.ts b/firebase-vscode/src/data-connect/index.ts index 8fc1bf1fcd1..98d2b7279b3 100644 --- a/firebase-vscode/src/data-connect/index.ts +++ b/firebase-vscode/src/data-connect/index.ts @@ -1,4 +1,4 @@ -import vscode, { Disposable, ExtensionContext, TelemetryLogger } from "vscode"; +import vscode, { Disposable, ExtensionContext } from "vscode"; import { Signal, effect } from "@preact/signals-core"; import { ExtensionBrokerImpl } from "../extension-broker"; import { registerExecution } from "./execution/execution"; @@ -31,14 +31,8 @@ import { registerWebview } from "../webview"; import { DataConnectToolkit } from "./toolkit"; import { registerFdcSdkGeneration } from "./sdk-generation"; import { registerDiagnostics } from "./diagnostics"; -import { AnalyticsLogger, DATA_CONNECT_EVENT_NAME } from "../analytics"; -import { emulators } from "../init/features"; -import { GCAToolClient } from "./ai-tools/gca-tool"; -import { GeminiToolController } from "./ai-tools/tool-controller"; -import { - registerFirebaseMCP, - writeToGeminiConfig, -} from "./ai-tools/firebase-mcp"; +import { AnalyticsLogger } from "../analytics"; +import { registerFirebaseMCP } from "./ai-tools/firebase-mcp"; class CodeActionsProvider implements vscode.CodeActionProvider { constructor( @@ -238,7 +232,6 @@ export function registerFdc( registerTerminalTasks(broker, analyticsLogger), registerFirebaseMCP(broker, analyticsLogger), operationCodeLensProvider, - vscode.languages.registerCodeLensProvider( // **Hack**: For testing purposes, enable code lenses on all graphql files // inside the test_projects folder. diff --git a/firebase-vscode/src/data-connect/service.ts b/firebase-vscode/src/data-connect/service.ts index 99eafe1d768..dd07679195f 100644 --- a/firebase-vscode/src/data-connect/service.ts +++ b/firebase-vscode/src/data-connect/service.ts @@ -10,7 +10,7 @@ import { AuthService } from "../auth/service"; import { UserMockKind } from "../../common/messaging/protocol"; import { firstWhereDefined } from "../utils/signal"; import { EmulatorsController } from "../core/emulators"; -import { dataConnectConfigs, VSCODE_ENV_VARS } from "../data-connect/config"; +import { dataConnectConfigs } from "../data-connect/config"; import { firebaseRC } from "../core/config"; import { @@ -20,22 +20,12 @@ import { DATACONNECT_API_VERSION, } from "../../../src/dataconnect/dataplaneClient"; -import { - cloudAICompationClient, - callCloudAICompanion, -} from "../../../src/dataconnect/cloudAiCompanionClient"; - import { ExecuteGraphqlRequest, GraphqlResponse, GraphqlResponseError, Impersonation, } from "../dataconnect/types"; -import { - CloudAICompanionResponse, - CallCloudAiCompanionRequest, - ChatMessage, -} from "../dataconnect/cloudAICompanionTypes"; import { Client, ClientResponse } from "../../../src/apiv2"; import { InstanceType } from "./code-lens-provider"; import { pluginLogger } from "../logger-wrapper"; @@ -63,27 +53,6 @@ export class DataConnectService { return dcs?.getApiServicePathByPath(projectId, path); } - private async decodeResponse( - response: Response, - format?: "application/json", - ): Promise { - const contentType = response.headers.get("Content-Type"); - if (!contentType) { - throw new Error("Invalid content type"); - } - - if (format && !contentType.includes(format)) { - throw new Error( - `Invalid content type. Expected ${format} but got ${contentType}`, - ); - } - - if (contentType.includes("application/json")) { - return response.json(); - } - - return response.text(); - } private async handleProdResponse( response: ClientResponse, ): Promise { @@ -257,32 +226,6 @@ export class DataConnectService { docsLink() { return this.dataConnectToolkit.getGeneratedDocsURL(); } - - // Start cloud section - - async generateOperation( - path: string /** currently unused; instead reading the first service config */, - naturalLanguageQuery: string, - type: "schema" | "operation", - chatHistory: ChatMessage[], - ): Promise { - const client = cloudAICompationClient(); - const servicePath = await this.servicePath( - dataConnectConfigs.value?.tryReadValue?.values[0].path as string, - ); - - if (!servicePath) { - return undefined; - } - - const request: CallCloudAiCompanionRequest = { - servicePath, - naturalLanguageQuery, - chatHistory, - }; - const resp = await callCloudAICompanion(client, request, type); - return resp; - } } function parseVariableString(variables: string): Record { diff --git a/src/dataconnect/cloudAICompanionClient.spec.ts b/src/dataconnect/cloudAICompanionClient.spec.ts deleted file mode 100644 index f7af7125e12..00000000000 --- a/src/dataconnect/cloudAICompanionClient.spec.ts +++ /dev/null @@ -1,94 +0,0 @@ -import { expect } from "chai"; -import * as sinon from "sinon"; -import * as nock from "nock"; -import * as chai from "chai"; -import { callCloudAICompanion, cloudAICompationClient } from "./cloudAICompanionClient"; -import { Client } from "../apiv2"; -import { CallCloudAiCompanionRequest, CloudAICompanionResponse } from "./cloudAICompanionTypes"; - -chai.use(require("chai-as-promised")); - -describe("cloudAICompanionClient", () => { - let sandbox: sinon.SinonSandbox; - - beforeEach(() => { - sandbox = sinon.createSandbox(); - }); - - afterEach(() => { - sandbox.restore(); - nock.cleanAll(); - }); - - describe("callCloudAICompanion", () => { - const fakeRequest: CallCloudAiCompanionRequest = { - servicePath: "projects/my-project/locations/us-central1/services/my-service", - naturalLanguageQuery: "Get all users", - chatHistory: [], - }; - - it("should call the Cloud AI Companion API for schema generation", async () => { - const expectedResponse: CloudAICompanionResponse = { - output: { - messages: [{ author: "MODEL", content: "Generated schema" }], - }, - }; - nock("https://cloudaicompanion.googleapis.com") - .post("/v1/projects/my-project/locations/global/instances/default:completeTask", (body) => { - expect(body.experienceContext.experience).to.equal( - "/appeco/firebase/fdc-schema-generator", - ); - return true; - }) - .reply(200, expectedResponse); - - const client = cloudAICompationClient(); - const response = await callCloudAICompanion(client, fakeRequest, "schema"); - expect(response).to.deep.equal(expectedResponse); - }); - - it("should call the Cloud AI Companion API for operation generation", async () => { - const expectedResponse: CloudAICompanionResponse = { - output: { - messages: [{ author: "MODEL", content: "Generated operation" }], - }, - }; - nock("https://cloudaicompanion.googleapis.com") - .post("/v1/projects/my-project/locations/global/instances/default:completeTask", (body) => { - expect(body.experienceContext.experience).to.equal( - "/appeco/firebase/fdc-query-generator", - ); - return true; - }) - .reply(200, expectedResponse); - - const client = cloudAICompationClient(); - const response = await callCloudAICompanion(client, fakeRequest, "operation"); - expect(response).to.deep.equal(expectedResponse); - }); - - it("should handle errors from the Cloud AI Companion API", async () => { - nock("https://cloudaicompanion.googleapis.com") - .post("/v1/projects/my-project/locations/global/instances/default:completeTask") - .reply(500, { error: { message: "Internal Server Error" } }); - - const client = cloudAICompationClient(); - const response = await callCloudAICompanion(client, fakeRequest, "schema"); - - expect(response.error).to.exist; - expect(response.output.messages).to.deep.equal([]); - }); - - it("should throw an error for an invalid service name", async () => { - const invalidRequest: CallCloudAiCompanionRequest = { - servicePath: "invalid-service-name", - naturalLanguageQuery: "Get all users", - chatHistory: [], - }; - const client = new Client({ urlPrefix: "", apiVersion: "" }); - await expect(callCloudAICompanion(client, invalidRequest, "schema")).to.be.rejectedWith( - "Invalid service name: invalid-service-name", - ); - }); - }); -}); diff --git a/src/dataconnect/cloudAICompanionClient.ts b/src/dataconnect/cloudAICompanionClient.ts deleted file mode 100644 index 1e6544b2b60..00000000000 --- a/src/dataconnect/cloudAICompanionClient.ts +++ /dev/null @@ -1,106 +0,0 @@ -import { Client } from "../apiv2"; -import { cloudAiCompanionOrigin } from "../api"; -import { - CloudAICompanionResponse, - CloudAICompanionRequest, - CloudAICompanionInput, - ClientContext, - CallCloudAiCompanionRequest, -} from "./cloudAICompanionTypes"; -import { FirebaseError } from "../error"; - -const CLOUD_AI_COMPANION_VERSION = "v1"; -const CLIENT_CONTEXT_NAME_IDENTIFIER = "firebase_vscode"; -const FIREBASE_CHAT_REQUEST_CONTEXT_TYPE_NAME = - "type.googleapis.com/google.cloud.cloudaicompanion.v1main.FirebaseChatRequestContext"; -const FDC_SCHEMA_EXPERIENCE_CONTEXT = "/appeco/firebase/fdc-schema-generator"; -const FDC_OPERATION_EXPERIENCE_CONTEXT = "/appeco/firebase/fdc-query-generator"; -const USER_AUTHOR = "USER"; -type GENERATION_TYPE = "schema" | "operation"; - -export function cloudAICompationClient(): Client { - return new Client({ - urlPrefix: cloudAiCompanionOrigin(), - apiVersion: CLOUD_AI_COMPANION_VERSION, - auth: true, - }); -} - -export async function callCloudAICompanion( - client: Client, - vscodeRequest: CallCloudAiCompanionRequest, - type: GENERATION_TYPE, -): Promise { - const request = buildRequest(vscodeRequest, type); - const { projectId } = getServiceParts(vscodeRequest.servicePath); - - const instance = toChatResourceName(projectId); - - try { - const res = await client.post( - `${instance}:completeTask`, - request, - ); - return res.body; - } catch (error: unknown) { - return { output: { messages: [] }, error: error as FirebaseError }; - } -} - -function buildRequest( - { servicePath, naturalLanguageQuery, chatHistory }: CallCloudAiCompanionRequest, - type: GENERATION_TYPE, -): CloudAICompanionRequest { - const { serviceId } = getServiceParts(servicePath); - const input: CloudAICompanionInput = { - messages: [ - ...chatHistory, - { - author: USER_AUTHOR, - content: naturalLanguageQuery, - }, - ], - }; - - const clientContext: ClientContext = { - name: CLIENT_CONTEXT_NAME_IDENTIFIER, - // TODO: determine if we should pass vscode version; // version: ideContext.ver, - additionalContext: { - "@type": FIREBASE_CHAT_REQUEST_CONTEXT_TYPE_NAME, - fdcInfo: { - serviceId, - fdcServiceName: servicePath, - requiresQuery: true, - }, - }, - }; - - return { - input, - clientContext, - experienceContext: { - experience: - type === "schema" ? FDC_SCHEMA_EXPERIENCE_CONTEXT : FDC_OPERATION_EXPERIENCE_CONTEXT, - }, - }; -} - -function toChatResourceName(projectId: string): string { - return `projects/${projectId}/locations/global/instances/default`; -} - -/** Gets service name parts */ -interface ServiceParts { - projectId: string; - locationId: string; - serviceId: string; -} -function getServiceParts(name: string): ServiceParts { - const match = name.match(/projects\/([^/]*)\/locations\/([^/]*)\/services\/([^/]*)/); - - if (!match) { - throw new Error(`Invalid service name: ${name}`); - } - - return { projectId: match[1], locationId: match[2], serviceId: match[3] }; -} From cf9a04805b03b7926ff39146b582cdcf83345898 Mon Sep 17 00:00:00 2001 From: Fred Zhang Date: Fri, 19 Sep 2025 12:11:10 -0700 Subject: [PATCH 09/37] [MCP] `firebase_update_environment` tool can be used to accept Gemini in Firebase ToS (#9143) * update_environment can be used to accept Gemini ToS * changelog * Update src/mcp/tools/core/update_environment.ts Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * m * m * m * m * m --------- Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> --- CHANGELOG.md | 1 + src/mcp/errors.ts | 42 ++++++++++++++++----- src/mcp/index.ts | 48 +++++++++--------------- src/mcp/tool.ts | 2 + src/mcp/tools/core/get_environment.ts | 5 ++- src/mcp/tools/core/init.ts | 6 +++ src/mcp/tools/core/update_environment.ts | 21 ++++++++--- src/mcp/tools/rules/validate_rules.ts | 2 +- 8 files changed, 81 insertions(+), 46 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index e69de29bb2d..cf5ff939942 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -0,0 +1 @@ +- `firebase_update_environment` MCP tool supports accepting Gemini in Firebase Terms of Service. diff --git a/src/mcp/errors.ts b/src/mcp/errors.ts index 832ff7a1183..c6329b07fb9 100644 --- a/src/mcp/errors.ts +++ b/src/mcp/errors.ts @@ -1,11 +1,43 @@ import { CallToolResult } from "@modelcontextprotocol/sdk/types.js"; import { mcpError } from "./util"; +import { configstore } from "../configstore"; +import { check, ensure } from "../ensureApiEnabled"; +import { cloudAiCompanionOrigin } from "../api"; export const NO_PROJECT_ERROR = mcpError( - 'No active project was found. Use the `firebase_update_environment` tool to set the project directory to an absolute folder location containing a firebase.json config file. Alternatively, change the MCP server config to add [...,"--dir","/absolute/path/to/project/directory"] in its command-line arguments.', + "This tool requires an active project. Use the `firebase_update_environment` tool to set a project ID", "PRECONDITION_FAILED", ); +const GEMINI_TOS_ERROR = mcpError( + "This tool requires the Gemini in Firebase API, please review the terms of service and accept it using `firebase_update_environment`.\n" + + "Learn more about Gemini in Firebase and how it uses your data: https://firebase.google.com/docs/gemini-in-firebase#how-gemini-in-firebase-uses-your-data", + "PRECONDITION_FAILED", +); + +/** Enable the Gemini in Firebase API or return an error to accept it */ +export async function requireGeminiToS(projectId: string): Promise { + if (!projectId) { + return NO_PROJECT_ERROR; + } + if (configstore.get("gemini")) { + await ensure(projectId, cloudAiCompanionOrigin(), ""); + } else { + if (!(await check(projectId, cloudAiCompanionOrigin(), ""))) { + return GEMINI_TOS_ERROR; + } + } + return undefined; +} + +export function noProjectDirectory(projectRoot: string | undefined): CallToolResult { + return mcpError( + `The current project directory '${ + projectRoot || "" + }' does not exist. Please use the 'update_firebase_environment' tool to target a different project directory.`, + ); +} + export function mcpAuthError(skipADC: boolean): CallToolResult { if (skipADC) { return mcpError( @@ -15,11 +47,3 @@ export function mcpAuthError(skipADC: boolean): CallToolResult { return mcpError(`The user is not currently logged into the Firebase CLI, which is required to use this tool. Please run the 'firebase_login' tool to log in, or instruct the user to configure [Application Default Credentials][ADC] on their machine. [ADC]: https://cloud.google.com/docs/authentication/application-default-credentials`); } - -export function mcpGeminiError(projectId: string) { - const consoleUrl = `https://firebase.corp.google.com/project/${projectId}/overview`; - return mcpError( - `This tool uses the Gemini in Firebase API. Visit Firebase Console to enable the Gemini in Firebase API ${consoleUrl} and try again.`, - "PRECONDITION_FAILED", - ); -} diff --git a/src/mcp/index.ts b/src/mcp/index.ts index 2bbab682567..a50d730fbbc 100644 --- a/src/mcp/index.ts +++ b/src/mcp/index.ts @@ -25,15 +25,13 @@ import { Command } from "../command"; import { requireAuth } from "../requireAuth"; import { Options } from "../options"; import { getProjectId } from "../projectUtils"; -import { mcpAuthError, NO_PROJECT_ERROR, mcpGeminiError } from "./errors"; +import { mcpAuthError, noProjectDirectory, NO_PROJECT_ERROR, requireGeminiToS } from "./errors"; import { trackGA4 } from "../track"; import { Config } from "../config"; import { loadRC } from "../rc"; import { EmulatorHubClient } from "../emulator/hubClient"; import { Emulators } from "../emulator/types"; import { existsSync } from "node:fs"; -import { ensure, check } from "../ensureApiEnabled"; -import * as api from "../api"; import { LoggingStdioServerTransport } from "./logging-transport"; import { isFirebaseStudio } from "../env"; import { timeoutFallback } from "../timeout"; @@ -57,7 +55,7 @@ export class FirebaseMcpServer { private _ready: boolean = false; private _readyPromises: { resolve: () => void; reject: (err: unknown) => void }[] = []; startupRoot?: string; - cachedProjectRoot?: string; + cachedProjectDir?: string; server: Server; activeFeatures?: ServerFeature[]; detectedFeatures?: ServerFeature[]; @@ -156,11 +154,11 @@ export class FirebaseMcpServer { async detectProjectRoot(): Promise { await timeoutFallback(this.ready(), null, 2000); - if (this.cachedProjectRoot) return this.cachedProjectRoot; + if (this.cachedProjectDir) return this.cachedProjectDir; const storedRoot = this.getStoredClientConfig().projectRoot; - this.cachedProjectRoot = storedRoot || this.startupRoot || process.cwd(); - this.log("debug", "detected and cached project root: " + this.cachedProjectRoot); - return this.cachedProjectRoot; + this.cachedProjectDir = storedRoot || this.startupRoot || process.cwd(); + this.log("debug", "detected and cached project root: " + this.cachedProjectDir); + return this.cachedProjectDir; } async detectActiveFeatures(): Promise { @@ -235,14 +233,14 @@ export class FirebaseMcpServer { setProjectRoot(newRoot: string | null): void { this.updateStoredClientConfig({ projectRoot: newRoot }); - this.cachedProjectRoot = newRoot || undefined; + this.cachedProjectDir = newRoot || undefined; this.detectedFeatures = undefined; // reset detected features void this.server.sendToolListChanged(); void this.server.sendPromptListChanged(); } async resolveOptions(): Promise> { - const options: Partial = { cwd: this.cachedProjectRoot, isMCP: true }; + const options: Partial = { cwd: this.cachedProjectDir, isMCP: true }; await cmd.prepare(options); return options; } @@ -272,7 +270,7 @@ export class FirebaseMcpServer { return { tools: this.availableTools.map((t) => t.mcp), _meta: { - projectRoot: this.cachedProjectRoot, + projectRoot: this.cachedProjectDir, projectDetected: hasActiveProject, authenticatedUser: await this.getAuthenticatedUser(skipAutoAuthForStudio), activeFeatures: this.activeFeatures, @@ -289,15 +287,10 @@ export class FirebaseMcpServer { if (!tool) throw new Error(`Tool '${toolName}' could not be found.`); // Check if the current project directory exists. - if ( - tool.mcp.name !== "firebase_update_environment" && // allow this tool only, to fix the issue - (!this.cachedProjectRoot || !existsSync(this.cachedProjectRoot)) - ) { - return mcpError( - `The current project directory '${ - this.cachedProjectRoot || "" - }' does not exist. Please use the 'update_firebase_environment' tool to target a different project directory.`, - ); + if (!tool.mcp._meta?.optionalProjectDir) { + if (!this.cachedProjectDir || !existsSync(this.cachedProjectDir)) { + return noProjectDirectory(this.cachedProjectDir); + } } // Check if the project ID is set. @@ -316,16 +309,11 @@ export class FirebaseMcpServer { // Check if the tool requires Gemini in Firebase API. if (tool.mcp._meta?.requiresGemini) { - if (configstore.get("gemini")) { - await ensure(projectId, api.cloudAiCompanionOrigin(), ""); - } else { - if (!(await check(projectId, api.cloudAiCompanionOrigin(), ""))) { - return mcpGeminiError(projectId); - } - } + const err = await requireGeminiToS(projectId); + if (err) return err; } - const options = { projectDir: this.cachedProjectRoot, cwd: this.cachedProjectRoot }; + const options = { projectDir: this.cachedProjectDir, cwd: this.cachedProjectDir }; const toolsCtx: ServerToolContext = { projectId: projectId, host: this, @@ -362,7 +350,7 @@ export class FirebaseMcpServer { arguments: p.mcp.arguments, })), _meta: { - projectRoot: this.cachedProjectRoot, + projectRoot: this.cachedProjectDir, projectDetected: hasActiveProject, authenticatedUser: await this.getAuthenticatedUser(skipAutoAuthForStudio), activeFeatures: this.activeFeatures, @@ -386,7 +374,7 @@ export class FirebaseMcpServer { const skipAutoAuthForStudio = isFirebaseStudio(); const accountEmail = await this.getAuthenticatedUser(skipAutoAuthForStudio); - const options = { projectDir: this.cachedProjectRoot, cwd: this.cachedProjectRoot }; + const options = { projectDir: this.cachedProjectDir, cwd: this.cachedProjectDir }; const promptsCtx: ServerPromptContext = { projectId: projectId, host: this, diff --git a/src/mcp/tool.ts b/src/mcp/tool.ts index 990bb7adef9..b09329565a6 100644 --- a/src/mcp/tool.ts +++ b/src/mcp/tool.ts @@ -37,6 +37,8 @@ export interface ServerTool { openWorldHint?: boolean; }; _meta?: { + /** Set this on a tool if it cannot work without a Firebase project directory. */ + optionalProjectDir?: boolean; /** Set this on a tool if it *always* requires a project to work. */ requiresProject?: boolean; /** Set this on a tool if it *always* requires a signed-in user to work. */ diff --git a/src/mcp/tools/core/get_environment.ts b/src/mcp/tools/core/get_environment.ts index e46e928971e..dff9063085c 100644 --- a/src/mcp/tools/core/get_environment.ts +++ b/src/mcp/tools/core/get_environment.ts @@ -4,6 +4,7 @@ import { toContent } from "../../util"; import { getAliases } from "../../../projectUtils"; import { dump } from "js-yaml"; import { getAllAccounts } from "../../../auth"; +import { configstore } from "../../../configstore"; export const get_environment = tool( { @@ -22,14 +23,16 @@ export const get_environment = tool( }, async (_, { projectId, host, accountEmail, rc, config }) => { const aliases = projectId ? getAliases({ rc }, projectId) : []; + const geminiTosAccepted = !!configstore.get("gemini"); return toContent(`# Environment Information -Project Directory: ${host.cachedProjectRoot} +Project Directory: ${host.cachedProjectDir} Project Config Path: ${config.projectFileExists("firebase.json") ? config.path("firebase.json") : ""} Active Project ID: ${ projectId ? `${projectId}${aliases.length ? ` (alias: ${aliases.join(",")})` : ""}` : "" } Authenticated User: ${accountEmail || ""} +Gemini in Firebase Terms of Service: ${geminiTosAccepted ? "Accepted" : "Not Accepted"} # Available Project Aliases (format: '[alias]: [projectId]') diff --git a/src/mcp/tools/core/init.ts b/src/mcp/tools/core/init.ts index a3e07590b3f..7ce6ab23d21 100644 --- a/src/mcp/tools/core/init.ts +++ b/src/mcp/tools/core/init.ts @@ -4,6 +4,7 @@ import { toContent } from "../../util"; import { DEFAULT_RULES } from "../../../init/features/database"; import { actuate, Setup, SetupInfo } from "../../../init/index"; import { freeTrialTermsLink } from "../../../dataconnect/freeTrial"; +import { requireGeminiToS } from "../../errors"; export const init = tool( { @@ -157,6 +158,11 @@ export const init = tool( }; } if (features.dataconnect) { + if (features.dataconnect.app_description) { + // If app description is provided, ensure the Gemini in Firebase API is enabled. + const err = await requireGeminiToS(projectId); + if (err) return err; + } featuresList.push("dataconnect"); featureInfo.dataconnect = { analyticsFlow: "mcp", diff --git a/src/mcp/tools/core/update_environment.ts b/src/mcp/tools/core/update_environment.ts index 07577811748..ce3c4d25098 100644 --- a/src/mcp/tools/core/update_environment.ts +++ b/src/mcp/tools/core/update_environment.ts @@ -4,12 +4,13 @@ import { mcpError, toContent } from "../../util"; import { setNewActive } from "../../../commands/use"; import { assertAccount, setProjectAccount } from "../../../auth"; import { existsSync } from "node:fs"; +import { configstore } from "../../../configstore"; export const update_environment = tool( { name: "update_environment", description: - "Updates Firebase environment config such as project directory, active project, active user account, and more. Use `firebase_get_environment` to see the currently configured environment.", + "Updates Firebase environment config such as project directory, active project, active user account, accept terms of service, and more. Use `firebase_get_environment` to see the currently configured environment.", inputSchema: z.object({ project_dir: z .string() @@ -29,17 +30,25 @@ export const update_environment = tool( .describe( "The email address of the signed-in user to authenticate as when interacting with the current project directory.", ), + accept_gemini_tos: z + .boolean() + .optional() + .describe("Accept the Gemini in Firebase terms of service."), }), annotations: { title: "Update Firebase Environment", readOnlyHint: false, }, _meta: { + optionalProjectDir: true, requiresAuth: false, requiresProject: false, }, }, - async ({ project_dir, active_project, active_user_account }, { config, rc, host }) => { + async ( + { project_dir, active_project, active_user_account, accept_gemini_tos }, + { config, rc, host }, + ) => { let output = ""; if (project_dir) { if (!existsSync(project_dir)) @@ -55,12 +64,14 @@ export const update_environment = tool( } if (active_user_account) { assertAccount(active_user_account, { mcp: true }); - setProjectAccount(host.cachedProjectRoot!, active_user_account); + setProjectAccount(host.cachedProjectDir!, active_user_account); output += `- Updated active account to '${active_user_account}'\n`; } - + if (accept_gemini_tos) { + configstore.set("gemini", true); + output += `- Accepted the Gemini in Firebase terms of service\n`; + } if (output === "") output = "No changes were made."; - return toContent(output); }, ); diff --git a/src/mcp/tools/rules/validate_rules.ts b/src/mcp/tools/rules/validate_rules.ts index cfeeeeba89a..798ba8655bb 100644 --- a/src/mcp/tools/rules/validate_rules.ts +++ b/src/mcp/tools/rules/validate_rules.ts @@ -105,7 +105,7 @@ export function validateRulesTool(productName: string) { let rulesSourceContent: string; if (source_file) { try { - const filePath = resolve(source_file, host.cachedProjectRoot!); + const filePath = resolve(source_file, host.cachedProjectDir!); if (filePath.includes("../")) return mcpError("Cannot read files outside of the project directory."); rulesSourceContent = config.readProjectFile(source_file); From 8dae8293f55b2963f1fa6288633731290e7b03d6 Mon Sep 17 00:00:00 2001 From: annajowang <31288696+annajowang@users.noreply.github.com> Date: Tue, 23 Sep 2025 14:57:03 -0400 Subject: [PATCH 10/37] Fix never resolved grouped promise in apphosting release.spec.ts test (#9163) Fix never-ending rollout.spect.ts test --- src/deploy/apphosting/release.spec.ts | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/deploy/apphosting/release.spec.ts b/src/deploy/apphosting/release.spec.ts index e34e3b78a26..1677f088e65 100644 --- a/src/deploy/apphosting/release.spec.ts +++ b/src/deploy/apphosting/release.spec.ts @@ -66,7 +66,9 @@ describe("apphosting", () => { }, }, }; - + // Promise.allSettled is not resolving as expected with stubbed Promise. + // We stub allSettled here as a hack. + sinon.stub(Promise, "allSettled").resolves([]); orchestrateRolloutStub = sinon.stub(rollout, "orchestrateRollout").resolves({ rollout: { name: "rollout-name", From f0e4b9b62bbc8e120bed04a0e2faa5f297e7cd33 Mon Sep 17 00:00:00 2001 From: annajowang <31288696+annajowang@users.noreply.github.com> Date: Thu, 25 Sep 2025 12:06:06 -0400 Subject: [PATCH 11/37] Add localbuild.ts for apphosting (#9173) Add a localbuild.ts to run apphosting local builds. --- npm-shrinkwrap.json | 329 +++++++++++++++++++++++------ package.json | 2 + src/apphosting/localbuilds.spec.ts | 47 +++++ src/apphosting/localbuilds.ts | 37 ++++ 4 files changed, 345 insertions(+), 70 deletions(-) create mode 100644 src/apphosting/localbuilds.spec.ts create mode 100644 src/apphosting/localbuilds.ts diff --git a/npm-shrinkwrap.json b/npm-shrinkwrap.json index da3dbd58b10..a2187ffb749 100644 --- a/npm-shrinkwrap.json +++ b/npm-shrinkwrap.json @@ -9,6 +9,8 @@ "version": "14.17.0", "license": "MIT", "dependencies": { + "@apphosting/build": "^0.1.6", + "@apphosting/common": "^0.0.8", "@electric-sql/pglite": "^0.3.3", "@electric-sql/pglite-tools": "^0.2.8", "@google-cloud/cloud-sql-connector": "^1.3.3", @@ -300,6 +302,38 @@ "js-yaml": "^3.13.1" } }, + "node_modules/@apphosting/build": { + "version": "0.1.6", + "resolved": "https://registry.npmjs.org/@apphosting/build/-/build-0.1.6.tgz", + "integrity": "sha512-nXK1wsR1tehaq9uSRDCGQmN+Dp0xbyGohssYd7g4W8ZbzHfUiab+Pabv34pHVTS03VaSVkjdNcR1g9hezi6s8g==", + "license": "Apache-2.0", + "dependencies": { + "@apphosting/common": "^0.0.8", + "@npmcli/promise-spawn": "^3.0.0", + "colorette": "^2.0.20", + "commander": "^11.1.0", + "npm-pick-manifest": "^9.0.0", + "ts-node": "^10.9.1" + }, + "bin": { + "apphosting-local-build": "dist/bin/localbuild.js" + } + }, + "node_modules/@apphosting/build/node_modules/commander": { + "version": "11.1.0", + "resolved": "https://registry.npmjs.org/commander/-/commander-11.1.0.tgz", + "integrity": "sha512-yPVavfyCcRhmorC7rWlkHn15b4wDVgVmBA7kV4QVBsF7kv/9TKJAbAXVTxvTnwP8HHKjRCJDClKbciiYS7p0DQ==", + "license": "MIT", + "engines": { + "node": ">=16" + } + }, + "node_modules/@apphosting/common": { + "version": "0.0.8", + "resolved": "https://registry.npmjs.org/@apphosting/common/-/common-0.0.8.tgz", + "integrity": "sha512-RJu5gXs2HYV7+anxpVPpp04oXeuHbV3qn402AdXVlnuYM/uWo7aceqmngpfp6Bi376UzRqGjfpdwFHxuwsEGXQ==", + "license": "Apache-2.0" + }, "node_modules/@astrojs/compiler": { "version": "1.3.1", "resolved": "https://registry.npmjs.org/@astrojs/compiler/-/compiler-1.3.1.tgz", @@ -913,7 +947,6 @@ "version": "0.8.1", "resolved": "https://registry.npmjs.org/@cspotcode/source-map-support/-/source-map-support-0.8.1.tgz", "integrity": "sha512-IchNf6dN4tHoMFIn/7OE8LWZ19Y6q/67Bmf6vnGREv8RSbBVb9LPJxEcnwrcwX6ixSvaiGoomAUvu4YSxXrVgw==", - "dev": true, "dependencies": { "@jridgewell/trace-mapping": "0.3.9" }, @@ -925,7 +958,6 @@ "version": "0.3.9", "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.9.tgz", "integrity": "sha512-3Belt6tdc8bPgAtbcmdtNJlirVoTmEb5e2gC94PnkwEW9jI6CAHUeoG85tjWP5WquqfavoMtMwiG4P926ZKKuQ==", - "dev": true, "dependencies": { "@jridgewell/resolve-uri": "^3.0.3", "@jridgewell/sourcemap-codec": "^1.4.10" @@ -3588,7 +3620,6 @@ "version": "3.1.0", "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.0.tgz", "integrity": "sha512-F2msla3tad+Mfht5cJq7LSXcdudKTWCVYUgw6pLFOOHSTtZlj6SWNYAp+AhuqLmWdBO2X5hPrLcu8cVP8fy28w==", - "dev": true, "engines": { "node": ">=6.0.0" } @@ -3605,8 +3636,7 @@ "node_modules/@jridgewell/sourcemap-codec": { "version": "1.4.14", "resolved": "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.4.14.tgz", - "integrity": "sha512-XPSJHWmi394fuUuzDnGz1wiKqWfo1yXecHQMRf2l6hztTO+nPru658AyDngaBe7isIxEkRsPR3FZh+s7iVa4Uw==", - 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"dev": true + "integrity": "sha512-dcKFX3jn0MpIaXjisoRvexIJVEKzaq7z2rZKxf+MSr9TkdmHmsU4m2lcLojrj/FHl8mk5VxMmYA+ftRkP/3oKQ==" }, "cross-env": { "version": "7.0.3", @@ -30914,8 +31050,7 @@ "infer-owner": { "version": "1.0.4", "resolved": "https://registry.npmjs.org/infer-owner/-/infer-owner-1.0.4.tgz", - "integrity": "sha512-IClj+Xz94+d7irH5qRyfJonOdfTzuDaifE6ZPWfx0N0+/ATZCbuTPq2prFl526urkQd90WyUKIh1DfBQ2hMz9A==", - "optional": true + "integrity": "sha512-IClj+Xz94+d7irH5qRyfJonOdfTzuDaifE6ZPWfx0N0+/ATZCbuTPq2prFl526urkQd90WyUKIh1DfBQ2hMz9A==" }, "inflight": { "version": "1.0.6", @@ -32017,8 +32152,7 @@ "make-error": { "version": "1.3.6", "resolved": "https://registry.npmjs.org/make-error/-/make-error-1.3.6.tgz", - "integrity": "sha512-s8UhlNe7vPKomQhC1qFelMokr/Sc3AgNbso3n74mVPA5LTZwkB9NlXf4XPamLxJE8h0gh73rM94xvwRT2CVInw==", - "dev": true + "integrity": "sha512-s8UhlNe7vPKomQhC1qFelMokr/Sc3AgNbso3n74mVPA5LTZwkB9NlXf4XPamLxJE8h0gh73rM94xvwRT2CVInw==" }, "make-fetch-happen": { "version": "10.2.1", @@ -33391,6 +33525,56 @@ "resolved": "https://registry.npmjs.org/normalize-path/-/normalize-path-3.0.0.tgz", "integrity": "sha512-6eZs5Ls3WtCisHWp9S2GUy8dqkpGi4BVSz3GaqiE6ezub0512ESztXUwUB6C6IKbQkY2Pnb/mD4WYojCRwcwLA==" }, + "npm-install-checks": { + "version": "6.3.0", + "resolved": "https://registry.npmjs.org/npm-install-checks/-/npm-install-checks-6.3.0.tgz", + "integrity": "sha512-W29RiK/xtpCGqn6f3ixfRYGk+zRyr+Ew9F2E20BfXxT5/euLdA/Nm7fO7OeTGuAmTs30cpgInyJ0cYe708YTZw==", + "requires": { + "semver": "^7.1.1" + } + }, + "npm-normalize-package-bin": { + "version": "3.0.1", + "resolved": "https://registry.npmjs.org/npm-normalize-package-bin/-/npm-normalize-package-bin-3.0.1.tgz", + "integrity": "sha512-dMxCf+zZ+3zeQZXKxmyuCKlIDPGuv8EF940xbkC4kQVDTtqoh6rJFO+JTKSA6/Rwi0getWmtuy4Itup0AMcaDQ==" + }, + "npm-package-arg": { + "version": "11.0.3", + "resolved": "https://registry.npmjs.org/npm-package-arg/-/npm-package-arg-11.0.3.tgz", + "integrity": "sha512-sHGJy8sOC1YraBywpzQlIKBE4pBbGbiF95U6Auspzyem956E0+FtDtsx1ZxlOJkQCZ1AFXAY/yuvtFYrOxF+Bw==", + "requires": { + "hosted-git-info": "^7.0.0", + "proc-log": "^4.0.0", + "semver": "^7.3.5", + "validate-npm-package-name": "^5.0.0" + }, + "dependencies": { + "hosted-git-info": { + "version": "7.0.2", + "resolved": "https://registry.npmjs.org/hosted-git-info/-/hosted-git-info-7.0.2.tgz", + "integrity": "sha512-puUZAUKT5m8Zzvs72XWy3HtvVbTWljRE66cP60bxJzAqf2DgICo7lYTY2IHUmLnNpjYvw5bvmoHvPc0QO2a62w==", + "requires": { + "lru-cache": "^10.0.1" + } + }, + "lru-cache": { + "version": "10.4.3", + "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.4.3.tgz", + "integrity": "sha512-JNAzZcXrCt42VGLuYz0zfAzDfAvJWW6AfYlDBQyDV5DClI2m5sAmK+OIO7s59XfsRsWHp02jAJrRadPRGTt6SQ==" + } + } + }, + "npm-pick-manifest": { + "version": "9.1.0", + "resolved": "https://registry.npmjs.org/npm-pick-manifest/-/npm-pick-manifest-9.1.0.tgz", + "integrity": "sha512-nkc+3pIIhqHVQr085X9d2JzPzLyjzQS96zbruppqC9aZRm/x8xx6xhI98gHtsfELP2bE+loHq8ZaHFHhe+NauA==", + "requires": { + "npm-install-checks": "^6.0.0", + "npm-normalize-package-bin": "^3.0.0", + "npm-package-arg": "^11.0.0", + "semver": "^7.3.5" + } + }, "npm-run-path": { "version": "5.1.0", "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-5.1.0.tgz", @@ -34499,6 +34683,11 @@ "integrity": "sha512-Kx/1w86q/epKcmte75LNrEoT+lX8pBpavuAbvJWRXar7Hz8jrtF+e3vY751p0R8H9HdArwaCTNDDzHg/ScJK1Q==", "dev": true }, + "proc-log": { + "version": "4.2.0", + "resolved": "https://registry.npmjs.org/proc-log/-/proc-log-4.2.0.tgz", + "integrity": "sha512-g8+OnU/L2v+wyiVK+D5fA34J7EH8jZ8DDlvwhRCMxmMj7UCBvxiO1mGeN+36JXIKF4zevU4kRBd8lVgG9vLelA==" + }, "process": { "version": "0.11.10", "resolved": "https://registry.npmjs.org/process/-/process-0.11.10.tgz", @@ -36734,7 +36923,6 @@ "version": "10.9.1", "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.1.tgz", "integrity": "sha512-NtVysVPkxxrwFGUUxGYhfux8k78pQB3JqYBXlLRZgdGUqTO5wU/UyHop5p70iEbGhB7q5KmiZiU0Y3KlJrScEw==", - "dev": true, "requires": { "@cspotcode/source-map-support": "^0.8.0", "@tsconfig/node10": "^1.0.7", @@ -36754,8 +36942,7 @@ "diff": { "version": "4.0.2", "resolved": "https://registry.npmjs.org/diff/-/diff-4.0.2.tgz", - "integrity": "sha512-58lmxKSA4BNyLz+HHMUzlOEpg09FV+ev6ZMe3vJihgdxzgcwZ8VoEEPmALCZG9LmqfVoNMMKpttIYTVG6uDY7A==", - "dev": true + "integrity": "sha512-58lmxKSA4BNyLz+HHMUzlOEpg09FV+ev6ZMe3vJihgdxzgcwZ8VoEEPmALCZG9LmqfVoNMMKpttIYTVG6uDY7A==" } } }, @@ -36842,8 +37029,7 @@ "typescript": { "version": "4.9.5", "resolved": "https://registry.npmjs.org/typescript/-/typescript-4.9.5.tgz", - "integrity": "sha512-1FXk9E2Hm+QzZQ7z+McJiHL4NW1F2EzMu9Nq9i3zAaGqibafqYwCVU6WyWAuyQRRzOlxou8xZSyXLEN8oKj24g==", - "dev": true + "integrity": "sha512-1FXk9E2Hm+QzZQ7z+McJiHL4NW1F2EzMu9Nq9i3zAaGqibafqYwCVU6WyWAuyQRRzOlxou8xZSyXLEN8oKj24g==" }, "typescript-json-schema": { "version": "0.65.1", @@ -37291,8 +37477,7 @@ "v8-compile-cache-lib": { "version": "3.0.1", "resolved": "https://registry.npmjs.org/v8-compile-cache-lib/-/v8-compile-cache-lib-3.0.1.tgz", - "integrity": "sha512-wa7YjyUGfNZngI/vtK0UHAN+lgDCxBPCylVXGp0zu59Fz5aiGtNXaq3DhIov063MorB+VfufLh3JlF2KdTK3xg==", - "dev": true + "integrity": "sha512-wa7YjyUGfNZngI/vtK0UHAN+lgDCxBPCylVXGp0zu59Fz5aiGtNXaq3DhIov063MorB+VfufLh3JlF2KdTK3xg==" }, "valid-url": { "version": "1.0.9", @@ -37309,6 +37494,11 @@ "spdx-expression-parse": "^3.0.0" } }, + "validate-npm-package-name": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/validate-npm-package-name/-/validate-npm-package-name-5.0.1.tgz", + "integrity": "sha512-OljLrQ9SQdOUqTaQxqL5dEfZWrXExyyWsozYlAWFawPVNuD83igl7uJD2RTkNMbniIYgt8l81eCJGIdQF7avLQ==" + }, "vary": { "version": "1.1.2", "resolved": "https://registry.npmjs.org/vary/-/vary-1.1.2.tgz", @@ -37774,8 +37964,7 @@ "yn": { "version": "3.1.1", "resolved": "https://registry.npmjs.org/yn/-/yn-3.1.1.tgz", - "integrity": "sha512-Ux4ygGWsu2c7isFWe8Yu1YluJmqVhxqK2cLXNQA5AcC3QfbGNpM7fu0Y8b/z16pXLnFxZYvWhd3fhBY9DLmC6Q==", - "dev": true + "integrity": "sha512-Ux4ygGWsu2c7isFWe8Yu1YluJmqVhxqK2cLXNQA5AcC3QfbGNpM7fu0Y8b/z16pXLnFxZYvWhd3fhBY9DLmC6Q==" }, "yocto-queue": { "version": "0.1.0", diff --git a/package.json b/package.json index c9e387c3d4a..fec7aa181ab 100644 --- a/package.json +++ b/package.json @@ -102,6 +102,8 @@ ] }, "dependencies": { + "@apphosting/build": "^0.1.6", + "@apphosting/common": "^0.0.8", "@electric-sql/pglite": "^0.3.3", "@electric-sql/pglite-tools": "^0.2.8", "@google-cloud/cloud-sql-connector": "^1.3.3", diff --git a/src/apphosting/localbuilds.spec.ts b/src/apphosting/localbuilds.spec.ts new file mode 100644 index 00000000000..7fff66afcde --- /dev/null +++ b/src/apphosting/localbuilds.spec.ts @@ -0,0 +1,47 @@ +import * as sinon from "sinon"; +import { expect } from "chai"; +import * as localBuildModule from "@apphosting/build"; +import { localBuild } from "./localbuilds"; + +describe("localBuild", () => { + afterEach(() => { + sinon.restore(); + }); + + it("returns the expected output", async () => { + const bundleConfig = { + version: "v1" as const, + runConfig: { + runCommand: "npm run build:prod", + }, + metadata: { + adapterPackageName: "@apphosting/angular-adapter", + adapterVersion: "14.1", + framework: "nextjs", + }, + outputFiles: { + serverApp: { + include: ["./next/standalone"], + }, + }, + }; + const expectedAnnotations = { + adapterPackageName: "@apphosting/angular-adapter", + adapterVersion: "14.1", + framework: "nextjs", + }; + const expectedOutputFiles = ["./next/standalone"]; + const expectedBuildConfig = { + runCommand: "npm run build:prod", + env: [], + }; + const localApphostingBuildStub: sinon.SinonStub = sinon + .stub(localBuildModule, "localBuild") + .resolves(bundleConfig); + const { outputFiles, annotations, buildConfig } = await localBuild("./", "nextjs"); + expect(annotations).to.deep.equal(expectedAnnotations); + expect(buildConfig).to.deep.equal(expectedBuildConfig); + expect(outputFiles).to.deep.equal(expectedOutputFiles); + sinon.assert.calledWith(localApphostingBuildStub, "./", "nextjs"); + }); +}); diff --git a/src/apphosting/localbuilds.ts b/src/apphosting/localbuilds.ts new file mode 100644 index 00000000000..557a4184609 --- /dev/null +++ b/src/apphosting/localbuilds.ts @@ -0,0 +1,37 @@ +import { BuildConfig, Env } from "../gcp/apphosting"; +import { localBuild as localAppHostingBuild } from "@apphosting/build"; + +/** + * Triggers a local apphosting build. + */ +export async function localBuild( + projectRoot: string, + framework: string, +): Promise<{ + outputFiles: string[]; + annotations: Record; + buildConfig: BuildConfig; +}> { + const apphostingBuildOutput = await localAppHostingBuild(projectRoot, framework); + + const annotations: Record = Object.fromEntries( + Object.entries(apphostingBuildOutput.metadata).map(([key, value]) => [key, String(value)]), + ); + + const env: Env[] | undefined = apphostingBuildOutput.runConfig.environmentVariables?.map( + ({ variable, value, availability }) => ({ + variable, + value, + availability, + }), + ); + + return { + outputFiles: apphostingBuildOutput.outputFiles?.serverApp.include ?? ["poop"], + annotations, + buildConfig: { + runCommand: apphostingBuildOutput.runConfig.runCommand, + env: env ?? [], + }, + }; +} From 6ab08e83d47b68fcc7f98f24ce6c2ca45b75d8c8 Mon Sep 17 00:00:00 2001 From: annajowang <31288696+annajowang@users.noreply.github.com> Date: Thu, 25 Sep 2025 12:22:58 -0400 Subject: [PATCH 12/37] Create archive subdir (#9176) Add a subdirectory input to createArchive to allow for zipping just the subdirectory while still keeping its location relative to the rootDir --- src/deploy/apphosting/util.ts | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/src/deploy/apphosting/util.ts b/src/deploy/apphosting/util.ts index 8e593ab509d..24d2364961e 100644 --- a/src/deploy/apphosting/util.ts +++ b/src/deploy/apphosting/util.ts @@ -10,7 +10,11 @@ import * as fsAsync from "../../fsAsync"; * Locates the source code for a backend and creates an archive to eventually upload to GCS. * Based heavily on functions upload logic in src/deploy/functions/prepareFunctionsUpload.ts. */ -export async function createArchive(config: AppHostingSingle, rootDir: string): Promise { +export async function createArchive( + config: AppHostingSingle, + rootDir: string, + targetSubDir?: string, +): Promise { const tmpFile = tmp.fileSync({ prefix: `${config.backendId}-`, postfix: ".zip" }).name; const fileStream = fs.createWriteStream(tmpFile, { flags: "w", @@ -18,14 +22,15 @@ export async function createArchive(config: AppHostingSingle, rootDir: string): }); const archive = archiver("zip"); + const targetDir = targetSubDir ? path.join(rootDir, targetSubDir) : rootDir; // We must ignore firebase-debug.log or weird things happen if you're in the public dir when you deploy. const ignore = config.ignore || ["node_modules", ".git"]; ignore.push("firebase-debug.log", "firebase-debug.*.log"); - const gitIgnorePatterns = parseGitIgnorePatterns(rootDir); + const gitIgnorePatterns = parseGitIgnorePatterns(targetDir); ignore.push(...gitIgnorePatterns); try { const files = await fsAsync.readdirRecursive({ - path: rootDir, + path: targetDir, ignore: ignore, isGitIgnore: true, }); From c34bbef6d03da9b3f853a0a51770d822649faadc Mon Sep 17 00:00:00 2001 From: annajowang <31288696+annajowang@users.noreply.github.com> Date: Thu, 25 Sep 2025 14:03:32 -0400 Subject: [PATCH 13/37] Set local build configs throughout the deploy steps (#9184) Sets the deploy context config for localBuild backends In prepare, call the local build and set the build outputs in the config In deploy, zip and upload the build directory --- src/deploy/apphosting/args.ts | 1 + src/deploy/apphosting/deploy.spec.ts | 105 ++++++++++++++++++++++---- src/deploy/apphosting/deploy.ts | 28 +++++-- src/deploy/apphosting/prepare.spec.ts | 57 ++++++++++++++ src/deploy/apphosting/prepare.ts | 29 +++++++ src/deploy/apphosting/release.spec.ts | 1 + src/deploy/apphosting/release.ts | 1 + 7 files changed, 201 insertions(+), 21 deletions(-) diff --git a/src/deploy/apphosting/args.ts b/src/deploy/apphosting/args.ts index 7b0f85d6723..82ce1f12324 100644 --- a/src/deploy/apphosting/args.ts +++ b/src/deploy/apphosting/args.ts @@ -4,6 +4,7 @@ import { BuildConfig } from "../../gcp/apphosting"; export interface LocalBuild { buildConfig: BuildConfig; buildDir: string; + annotations: Record; } export interface Context { diff --git a/src/deploy/apphosting/deploy.spec.ts b/src/deploy/apphosting/deploy.spec.ts index 70f30624503..95bd550e7d5 100644 --- a/src/deploy/apphosting/deploy.spec.ts +++ b/src/deploy/apphosting/deploy.spec.ts @@ -35,10 +35,28 @@ function initializeContext(): Context { ignore: [], }, ], + [ + "foo-local-build", + { + backendId: "foo-local-build", + rootDir: "/", + ignore: [], + localBuild: true, + }, + ], + ]), + backendLocations: new Map([ + ["foo", "us-central1"], + ["foo-local-build", "us-central1"], ]), - backendLocations: new Map([["foo", "us-central1"]]), backendStorageUris: new Map(), - backendLocalBuilds: {}, + backendLocalBuilds: { + "foo-local-build": { + buildDir: "./nextjs/standalone", + buildConfig: {}, + annotations: {}, + }, + }, }; } @@ -67,17 +85,25 @@ describe("apphosting", () => { sinon.verifyAndRestore(); }); - describe("deploy", () => { + describe("deploy local source", () => { const opts = { ...BASE_OPTS, projectId: "my-project", only: "apphosting", config: new Config({ - apphosting: { - backendId: "foo", - rootDir: "/", - ignore: [], - }, + apphosting: [ + { + backendId: "foo", + rootDir: "/", + ignore: [], + }, + { + backendId: "foo-local-build", + rootDir: "/", + ignore: [], + localBuild: true, + }, + ], }), }; @@ -89,17 +115,58 @@ describe("apphosting", () => { original: new FirebaseError("original error", { status: 404 }), }), ); + getBucketStub.onSecondCall().rejects( + new FirebaseError("error", { + original: new FirebaseError("original error", { status: 404 }), + }), + ); createBucketStub.resolves(); - createArchiveStub.resolves("path/to/foo-1234.zip"); - uploadObjectStub.resolves({ + createArchiveStub.onFirstCall().resolves("path/to/foo-1234.zip"); + createArchiveStub.onSecondCall().resolves("path/to/foo-local-build-1234.zip"); + uploadObjectStub.onFirstCall().resolves({ bucket: "firebaseapphosting-sources-12345678-us-central1", object: "foo-1234", }); + uploadObjectStub.onSecondCall().resolves({ + bucket: "firebaseapphosting-build-12345678-us-central1", + object: "foo-local-build-1234", + }); + createReadStreamStub.resolves(); await deploy(context, opts); - expect(createBucketStub).to.be.calledOnce; + // assert backend foo calls + expect(createBucketStub).to.be.calledWithMatch("my-project", { + name: "firebaseapphosting-sources-000000000000-us-central1", + location: "us-central1", + lifecycle: sinon.match.any, + }); + expect(createArchiveStub).to.be.calledWithExactly( + context.backendConfigs.get("foo"), + process.cwd(), + undefined, + ); + expect(uploadObjectStub).to.be.calledWithMatch( + sinon.match.any, + "firebaseapphosting-sources-000000000000-us-central1", + ); + + // assert backend foo-local-build calls + expect(createBucketStub).to.be.calledWithMatch("my-project", { + name: "firebaseapphosting-build-000000000000-us-central1", + location: "us-central1", + lifecycle: sinon.match.any, + }); + expect(createArchiveStub).to.be.calledWithExactly( + context.backendConfigs.get("foo-local-build"), + process.cwd(), + "./nextjs/standalone", + ); + expect(uploadObjectStub).to.be.calledWithMatch( + sinon.match.any, + "firebaseapphosting-build-000000000000-us-central1", + ); }); it("correctly creates and sets storage URIs", async () => { @@ -107,11 +174,18 @@ describe("apphosting", () => { getProjectNumberStub.resolves("000000000000"); getBucketStub.resolves(); createBucketStub.resolves(); - createArchiveStub.resolves("path/to/foo-1234.zip"); - uploadObjectStub.resolves({ - bucket: "firebaseapphosting-sources-12345678-us-central1", + createArchiveStub.onFirstCall().resolves("path/to/foo-1234.zip"); + createArchiveStub.onSecondCall().resolves("path/to/foo-local-build-1234.zip"); + + uploadObjectStub.onFirstCall().resolves({ + bucket: "firebaseapphosting-sources-000000000000-us-central1", object: "foo-1234", }); + + uploadObjectStub.onSecondCall().resolves({ + bucket: "firebaseapphosting-build-000000000000-us-central1", + object: "foo-local-build-1234", + }); createReadStreamStub.resolves(); await deploy(context, opts); @@ -119,6 +193,9 @@ describe("apphosting", () => { expect(context.backendStorageUris.get("foo")).to.equal( "gs://firebaseapphosting-sources-000000000000-us-central1/foo-1234.zip", ); + expect(context.backendStorageUris.get("foo-local-build")).to.equal( + "gs://firebaseapphosting-build-000000000000-us-central1/foo-local-build-1234.zip", + ); }); }); }); diff --git a/src/deploy/apphosting/deploy.ts b/src/deploy/apphosting/deploy.ts index 8e1a83e6683..b3febf43626 100644 --- a/src/deploy/apphosting/deploy.ts +++ b/src/deploy/apphosting/deploy.ts @@ -24,8 +24,9 @@ export default async function (context: Context, options: Options): Promise { }); describe("prepare", () => { + it("correctly creates configs for localBuild backends", async () => { + const optsWithLocalBuild = { + ...opts, + config: new Config({ + apphosting: { + backendId: "foo", + rootDir: "/", + ignore: [], + localBuild: true, + }, + }), + }; + const context = initializeContext(); + + const annotations = { + adapterPackageName: "@apphosting/angular-adapter", + adapterVersion: "14.1", + framework: "nextjs", + }; + const buildConfig = { + runCommand: "npm run build:prod", + env: [], + }; + sinon.stub(localbuilds, "localBuild").resolves({ + outputFiles: ["./next/standalone"], + buildConfig, + annotations, + }); + listBackendsStub.onFirstCall().resolves({ + backends: [ + { + name: "projects/my-project/locations/us-central1/backends/foo", + }, + ], + }); + + await prepare(context, optsWithLocalBuild); + + expect(context.backendLocations.get("foo")).to.equal("us-central1"); + expect(context.backendConfigs.get("foo")).to.deep.equal({ + backendId: "foo", + rootDir: "/", + ignore: [], + localBuild: true, + }); + expect(context.backendLocalBuilds["foo"]).to.deep.equal({ + buildDir: "./next/standalone", + buildConfig, + annotations, + }); + }); + it("links to existing backend if it already exists", async () => { const context = initializeContext(); listBackendsStub.onFirstCall().resolves({ @@ -93,6 +146,7 @@ describe("apphosting", () => { rootDir: "/", ignore: [], }); + expect(context.backendLocalBuilds).to.deep.equal({}); }); it("creates a backend if it doesn't exist yet", async () => { @@ -113,6 +167,7 @@ describe("apphosting", () => { rootDir: "/", ignore: [], }); + expect(context.backendLocalBuilds).to.deep.equal({}); }); it("skips backend deployment if alwaysDeployFromSource is false", async () => { @@ -143,6 +198,7 @@ describe("apphosting", () => { expect(context.backendLocations.get("foo")).to.equal(undefined); expect(context.backendConfigs.get("foo")).to.deep.equal(undefined); + expect(context.backendLocalBuilds).to.deep.equal({}); }); it("prompts user if codebase is already connected and alwaysDeployFromSource is undefined", async () => { @@ -172,6 +228,7 @@ describe("apphosting", () => { ignore: [], alwaysDeployFromSource: true, }); + expect(context.backendLocalBuilds).to.deep.equal({}); }); }); diff --git a/src/deploy/apphosting/prepare.ts b/src/deploy/apphosting/prepare.ts index 01c8886049b..5473589c874 100644 --- a/src/deploy/apphosting/prepare.ts +++ b/src/deploy/apphosting/prepare.ts @@ -11,7 +11,9 @@ import { Options } from "../../options"; import { needProjectId } from "../../projectUtils"; import { checkbox, confirm } from "../../prompt"; import { logLabeledBullet, logLabeledWarning } from "../../utils"; +import { localBuild } from "../../apphosting/localbuilds"; import { Context } from "./args"; +import { FirebaseError } from "../../error"; /** * Prepare backend targets to deploy from source. Checks that all required APIs are enabled, @@ -26,6 +28,7 @@ export default async function (context: Context, options: Options): Promise(); context.backendLocations = new Map(); context.backendStorageUris = new Map(); + context.backendLocalBuilds = {}; const configs = getBackendConfigs(options); const { backends } = await listBackends(projectId, "-"); @@ -144,6 +147,32 @@ export default async function (context: Context, options: Options): Promise cfg.backendId).join(", ")}.`, ); } + + for (const config of context.backendConfigs.values()) { + if (!config.localBuild) { + continue; + } + logLabeledBullet("apphosting", `Starting local build for backend ${config.backendId}`); + try { + const { outputFiles, annotations, buildConfig } = await localBuild( + options.projectRoot || "./", + "nextjs", + ); + if (outputFiles.length !== 1) { + throw new FirebaseError( + `Local build for backend ${config.backendId} failed: No output files found.`, + ); + } + context.backendLocalBuilds[config.backendId] = { + // TODO(9114): This only works for nextjs. + buildDir: outputFiles[0], + buildConfig, + annotations, + }; + } catch (e) { + throw new FirebaseError(`Local Build for backend ${config.backendId} failed: ${e}`); + } + } return; } diff --git a/src/deploy/apphosting/release.spec.ts b/src/deploy/apphosting/release.spec.ts index 1677f088e65..968ae30cdd4 100644 --- a/src/deploy/apphosting/release.spec.ts +++ b/src/deploy/apphosting/release.spec.ts @@ -63,6 +63,7 @@ describe("apphosting", () => { env: [{ variable: "CHICKEN", value: "bok-bok" }], }, buildDir: "./", + annotations: {}, }, }, }; diff --git a/src/deploy/apphosting/release.ts b/src/deploy/apphosting/release.ts index a63e1077767..841e4f7c727 100644 --- a/src/deploy/apphosting/release.ts +++ b/src/deploy/apphosting/release.ts @@ -34,6 +34,7 @@ export default async function (context: Context, options: Options): Promise Date: Fri, 19 Sep 2025 21:01:29 -0700 Subject: [PATCH 14/37] Update mcp readme (#9144) --- src/mcp/README.md | 106 +++++++++++++++++++++++++--------------------- 1 file changed, 58 insertions(+), 48 deletions(-) diff --git a/src/mcp/README.md b/src/mcp/README.md index bba4bc7ce70..88f5e5c85ac 100644 --- a/src/mcp/README.md +++ b/src/mcp/README.md @@ -43,51 +43,61 @@ npx -y firebase-tools login ## Tools -| Tool Name | Feature Group | Description | -| -------------------------------- | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| firebase_get_project | core | Retrieves information about the currently active Firebase project. | -| firebase_list_apps | core | Retrieves apps registered in the current Firebase project. | -| firebase_get_admin_sdk_config | core | Gets the Admin SDK config for the current project. | -| firebase_list_projects | core | Retrieves a list of Firebase projects up to the specified total count. | -| firebase_get_sdk_config | core | Retrieves the Firebase SDK configuration information for the specified platform. You must specify either a platform or an app_id. | -| firebase_create_project | core | Creates a new Firebase project. | -| firebase_create_app | core | Creates a new app in your Firebase project for Web, iOS, or Android. | -| firebase_create_android_sha | core | Adds a SHA certificate hash to an existing Android app. | -| firebase_consult_assistant | core | Send a question to an AI assistant specifically enhanced to answer Firebase questions. | -| firebase_get_environment | core | Retrieves information about the current Firebase environment including current authenticated user, project directory, active project, and more. | -| firebase_update_environment | core | Updates Firebase environment config such as project directory, active project, active user account, and more. Use `firebase_get_environment` to see the currently configured environment. | -| firebase_init | core | Initializes selected Firebase features in the workspace (Firestore, Data Connect, Realtime Database). All features are optional; provide only the products you wish to set up. You can initialize new features into an existing project directory, but re-initializing an existing feature may overwrite configuration. To deploy the initialized features, run the `firebase deploy` command after `firebase_init` tool. | -| firestore_delete_document | firestore | Deletes a Firestore documents from a database in the current project by full document paths. Use this if you know the exact path of a document. | -| firestore_get_documents | firestore | Retrieves one or more Firestore documents from a database in the current project by full document paths. Use this if you know the exact path of a document. | -| firestore_list_collections | firestore | Retrieves a list of collections from a Firestore database in the current project. | -| firestore_query_collection | firestore | Retrieves one or more Firestore documents from a collection is a database in the current project by a collection with a full document path. Use this if you know the exact path of a collection and the filtering clause you would like for the document. | -| firestore_get_rules | firestore | Retrieves the active Firestore security rules for the current project. | -| firestore_validate_rules | firestore | Checks the provided Firestore Rules source for syntax and validation errors. Provide EITHER the source code to validate OR a path to a source file. | -| auth_get_user | auth | Retrieves a user based on an email address, phone number, or UID. | -| auth_disable_user | auth | Disables or enables a user based on a UID. | -| auth_list_users | auth | Retrieves all users in the project up to the specified limit. | -| auth_set_claim | auth | Sets a custom claim on a specific user's account. Use to create trusted values associated with a user e.g. marking them as an admin. Claims are limited in size and should be succinct in name and value. Specify ONLY ONE OF `value` or `json_value` parameters. | -| auth_set_sms_region_policy | auth | Sets an SMS Region Policy for Firebase Auth to restrict the regions which can receive text messages based on an ALLOW or DENY list of country codes. This policy will override any existing policies when set. | -| dataconnect_list_services | dataconnect | List the Firebase Data Connect services available in the current project. | -| dataconnect_generate_schema | dataconnect | Generates a Firebase Data Connect Schema based on the users description of an app. | -| dataconnect_generate_operation | dataconnect | Generates a single Firebase Data Connect query or mutation based on the currently deployed schema and the provided prompt. | -| dataconnect_get_schema | dataconnect | Retrieve information about the Firebase Data Connect Schema in the project, including Cloud SQL data sources and the GraphQL Schema describing the data model. | -| dataconnect_get_connectors | dataconnect | Get the Firebase Data Connect Connectors in the project, which includes the pre-defined GraphQL queries accessible to client SDKs. | -| dataconnect_execute_graphql | dataconnect | Executes an arbitrary GraphQL against a Data Connect service or its emulator. | -| dataconnect_execute_graphql_read | dataconnect | Executes an arbitrary GraphQL query against a Data Connect service or its emulator. Cannot write data. | -| dataconnect_execute_mutation | dataconnect | Executes a deployed Data Connect mutation against a service or its emulator. Can read and write data. | -| dataconnect_execute_query | dataconnect | Executes a deployed Data Connect query against a service or its emulator. Cannot write any data. | -| storage_get_rules | storage | Retrieves the active Storage security rules for the current project. | -| storage_validate_rules | storage | Checks the provided Storage Rules source for syntax and validation errors. Provide EITHER the source code to validate OR a path to a source file. | -| storage_get_object_download_url | storage | Retrieves the download URL for an object in Firebase Storage. | -| messaging_send_message | messaging | Sends a message to a Firebase Cloud Messaging registration token or topic. ONLY ONE of `registration_token` or `topic` may be supplied in a specific call. | -| remoteconfig_get_template | remoteconfig | Retrieves a remote config template for the project | -| remoteconfig_publish_template | remoteconfig | Publishes a new remote config template for the project | -| remoteconfig_rollback_template | remoteconfig | Rollback to a specific version of Remote Config template for a project | -| crashlytics_list_top_issues | crashlytics | List the top crashes from crashlytics happening in the application. | -| apphosting_fetch_logs | apphosting | Fetches the most recent logs for a specified App Hosting backend. If `buildLogs` is specified, the logs from the build process for the latest build are returned. The most recent logs are listed first. | -| apphosting_list_backends | apphosting | Retrieves a list of App Hosting backends in the current project. An empty list means that there are no backends. The `uri` is the public URL of the backend. A working backend will have a `managed_resources` array that will contain a `run_service` entry. That `run_service.service` is the resource name of the Cloud Run service serving the App Hosting backend. The last segment of that name is the service ID. `domains` is the list of domains that are associated with the backend. They either have type `CUSTOM` or `DEFAULT`. Every backend should have a `DEFAULT` domain. The actual domain that a user would use to conenct to the backend is the last parameter of the domain resource name. If a custom domain is correctly set up, it will have statuses ending in `ACTIVE`. | -| database_get_data | realtime database | Returns RTDB data from the specified location. | -| database_set_data | realtime database | Sets RTDB data at the specified location. | -| database_get_rules | realtime database | Retrieves the security rules for the database. | -| database_validate_rules | realtime database | Validates the security rules for the database. | +| Tool Name | Feature Group | Description | +| -------------------------------------- | ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| firebase_get_project | core | Retrieves information about the currently active Firebase project. | +| firebase_list_apps | core | Retrieves apps registered in the current Firebase project. | +| firebase_get_admin_sdk_config | core | Gets the Admin SDK config for the current project. | +| firebase_list_projects | core | Retrieves a list of Firebase projects up to the specified total count. | +| firebase_get_sdk_config | core | Retrieves the Firebase SDK configuration information for the specified platform. You must specify either a platform or an app_id. | +| firebase_create_project | core | Creates a new Firebase project. | +| firebase_create_app | core | Creates a new app in your Firebase project for Web, iOS, or Android. | +| firebase_create_android_sha | core | Adds a SHA certificate hash to an existing Android app. | +| firebase_consult_assistant | core | Access an AI assistant specialized in all aspects of **Firebase**. Use this tool to get **detailed information**, **best practices**, **troubleshooting steps**, **code examples**, and **contextual help** regarding Firebase services, features, and project configuration. This includes questions about Firestore, Authentication, Cloud Functions, Hosting, Storage, Analytics, and more. It can also provide insights based on the **current Firebase project context**. | +| firebase_get_environment | core | Retrieves information about the current Firebase environment including current authenticated user, project directory, active project, and more. | +| firebase_update_environment | core | Updates Firebase environment config such as project directory, active project, active user account, and more. Use `firebase_get_environment` to see the currently configured environment. | +| firebase_init | core | Initializes selected Firebase features in the workspace (Firestore, Data Connect, Realtime Database). All features are optional; provide only the products you wish to set up. You can initialize new features into an existing project directory, but re-initializing an existing feature may overwrite configuration. To deploy the initialized features, run the `firebase deploy` command after `firebase_init` tool. | +| firestore_delete_document | firestore | Deletes a Firestore documents from a database in the current project by full document paths. Use this if you know the exact path of a document. | +| firestore_get_documents | firestore | Retrieves one or more Firestore documents from a database in the current project by full document paths. Use this if you know the exact path of a document. | +| firestore_list_collections | firestore | Retrieves a list of collections from a Firestore database in the current project. | +| firestore_query_collection | firestore | Retrieves one or more Firestore documents from a collection is a database in the current project by a collection with a full document path. Use this if you know the exact path of a collection and the filtering clause you would like for the document. | +| firestore_get_rules | firestore | Retrieves the active Firestore security rules for the current project. | +| firestore_validate_rules | firestore | Checks the provided Firestore Rules source for syntax and validation errors. Provide EITHER the source code to validate OR a path to a source file. | +| auth_get_user | auth | Retrieves a user based on an email address, phone number, or UID. | +| auth_disable_user | auth | Disables or enables a user based on a UID. | +| auth_list_users | auth | Retrieves all users in the project up to the specified limit. | +| auth_set_claim | auth | Sets a custom claim on a specific user's account. Use to create trusted values associated with a user e.g. marking them as an admin. Claims are limited in size and should be succinct in name and value. Specify ONLY ONE OF `value` or `json_value` parameters. | +| auth_set_sms_region_policy | auth | Sets an SMS Region Policy for Firebase Auth to restrict the regions which can receive text messages based on an ALLOW or DENY list of country codes. This policy will override any existing policies when set. | +| dataconnect_build | dataconnect | Use this to compile Firebase Data Connect schema, operations, and/or connectors and check for build errors. | +| dataconnect_list_services | dataconnect | List the Firebase Data Connect services available in the current project. | +| dataconnect_generate_schema | dataconnect | Generates a Firebase Data Connect Schema based on the users description of an app. | +| dataconnect_generate_operation | dataconnect | Generates a single Firebase Data Connect query or mutation based on the currently deployed schema and the provided prompt. | +| dataconnect_get_schema | dataconnect | Retrieve information about the Firebase Data Connect Schema in the project, including Cloud SQL data sources and the GraphQL Schema describing the data model. | +| dataconnect_get_connectors | dataconnect | Get the Firebase Data Connect Connectors in the project, which includes the pre-defined GraphQL queries accessible to client SDKs. | +| dataconnect_execute_graphql | dataconnect | Executes an arbitrary GraphQL against a Data Connect service or its emulator. | +| dataconnect_execute_graphql_read | dataconnect | Executes an arbitrary GraphQL query against a Data Connect service or its emulator. Cannot write data. | +| dataconnect_execute_mutation | dataconnect | Executes a deployed Data Connect mutation against a service or its emulator. Can read and write data. | +| dataconnect_execute_query | dataconnect | Executes a deployed Data Connect query against a service or its emulator. Cannot write any data. | +| storage_get_rules | storage | Retrieves the active Storage security rules for the current project. | +| storage_validate_rules | storage | Checks the provided Storage Rules source for syntax and validation errors. Provide EITHER the source code to validate OR a path to a source file. | +| storage_get_object_download_url | storage | Retrieves the download URL for an object in Firebase Storage. | +| messaging_send_message | messaging | Sends a message to a Firebase Cloud Messaging registration token or topic. ONLY ONE of `registration_token` or `topic` may be supplied in a specific call. | +| remoteconfig_get_template | remoteconfig | Retrieves a remote config template for the project | +| remoteconfig_publish_template | remoteconfig | Publishes a new remote config template for the project | +| remoteconfig_rollback_template | remoteconfig | Rollback to a specific version of Remote Config template for a project | +| crashlytics_add_note | crashlytics | Add a note to an issue from crashlytics. | +| crashlytics_delete_note | crashlytics | Delete a note from an issue in Crashlytics. | +| crashlytics_get_issue_details | crashlytics | Gets the details about a specific crashlytics issue. | +| crashlytics_get_sample_crash_for_issue | crashlytics | Gets the sample crash for an issue. | +| crashlytics_list_notes | crashlytics | List all notes for an issue in Crashlytics. | +| crashlytics_list_top_devices | crashlytics | List the top devices from Crashlytics for an application. | +| crashlytics_list_top_issues | crashlytics | List the top crashes from crashlytics happening in the application. | +| crashlytics_list_top_operating_systems | crashlytics | List the top operating systems from Crashlytics for an application. | +| crashlytics_list_top_versions | crashlytics | List the top versions from Crashlytics for an application. | +| crashlytics_update_issue | crashlytics | Update the state of an issue in Crashlytics. | +| apphosting_fetch_logs | apphosting | Fetches the most recent logs for a specified App Hosting backend. If `buildLogs` is specified, the logs from the build process for the latest build are returned. The most recent logs are listed first. | +| apphosting_list_backends | apphosting | Retrieves a list of App Hosting backends in the current project. An empty list means that there are no backends. The `uri` is the public URL of the backend. A working backend will have a `managed_resources` array that will contain a `run_service` entry. That `run_service.service` is the resource name of the Cloud Run service serving the App Hosting backend. The last segment of that name is the service ID. `domains` is the list of domains that are associated with the backend. They either have type `CUSTOM` or `DEFAULT`. Every backend should have a `DEFAULT` domain. The actual domain that a user would use to conenct to the backend is the last parameter of the domain resource name. If a custom domain is correctly set up, it will have statuses ending in `ACTIVE`. | +| database_get_data | database | Returns RTDB data from the specified location | +| database_set_data | database | Writes RTDB data to the specified location | +| database_get_rules | database | Get an RTDB database's rules | +| database_validate_rules | database | Validates an RTDB database's rules | From ffb8bd46efb508a65128479b8b8e5951436a4baa Mon Sep 17 00:00:00 2001 From: Michael Bleigh Date: Mon, 22 Sep 2025 16:52:36 -0700 Subject: [PATCH 15/37] feat(mcp): Adds MCP resources and a `read_resources` tool. (#9149) - Adds `/firebase:init` prompt with placeholder guidance. - Resources are defined in `src/mcp/resources`. - Prompts and other output can "link" to resources by saying to use the `read_resources` tool with a particular URI. - Consolidates context into a single McpContext type. - Some additional refactoring and cleanup. --- .eslintrc.js | 2 +- src/config.ts | 2 +- src/mcp/index.ts | 88 +++++++++++++------ src/mcp/prompt.ts | 14 +-- src/mcp/prompts/core/index.ts | 9 +- src/mcp/prompts/core/init.ts | 74 ++++++++++++++++ src/mcp/resource.ts | 29 ++++++ src/mcp/resources/guides/init_ai.ts | 22 +++++ src/mcp/resources/guides/init_backend.ts | 31 +++++++ src/mcp/resources/guides/init_data_connect.ts | 32 +++++++ src/mcp/resources/guides/init_firestore.ts | 31 +++++++ src/mcp/resources/guides/init_rtdb.ts | 32 +++++++ src/mcp/resources/index.ts | 7 ++ src/mcp/tool.ts | 14 +-- src/mcp/tools/auth/disable_user.spec.ts | 10 +-- src/mcp/tools/auth/get_user.spec.ts | 12 +-- src/mcp/tools/auth/list_users.spec.ts | 8 +- src/mcp/tools/auth/set_claims.spec.ts | 10 +-- .../tools/auth/set_sms_region_policy.spec.ts | 6 +- src/mcp/tools/core/index.ts | 2 + src/mcp/tools/core/read_resources.ts | 52 +++++++++++ src/mcp/types.ts | 12 +++ 22 files changed, 424 insertions(+), 75 deletions(-) create mode 100644 src/mcp/prompts/core/init.ts create mode 100644 src/mcp/resource.ts create mode 100644 src/mcp/resources/guides/init_ai.ts create mode 100644 src/mcp/resources/guides/init_backend.ts create mode 100644 src/mcp/resources/guides/init_data_connect.ts create mode 100644 src/mcp/resources/guides/init_firestore.ts create mode 100644 src/mcp/resources/guides/init_rtdb.ts create mode 100644 src/mcp/resources/index.ts create mode 100644 src/mcp/tools/core/read_resources.ts diff --git a/.eslintrc.js b/.eslintrc.js index 626c98a0d7e..29211759011 100644 --- a/.eslintrc.js +++ b/.eslintrc.js @@ -110,7 +110,7 @@ module.exports = { rules: {}, }, { - files: ["src/mcp/tools/**/*.ts", "src/mcp/prompts/**/*.ts"], + files: ["src/mcp/tools/**/*.ts", "src/mcp/prompts/**/*.ts", "src/mcp/resources/**/*.ts"], rules: { camelcase: "off" }, }, ], diff --git a/src/config.ts b/src/config.ts index 801b1383eb1..1f337e6877a 100644 --- a/src/config.ts +++ b/src/config.ts @@ -212,7 +212,7 @@ export class Config { return outPath; } - readProjectFile(p: string, options: any = {}) { + readProjectFile(p: string, options: { json?: boolean; fallback?: any } = {}) { options = options || {}; try { const content = fs.readFileSync(this.path(p), "utf8"); diff --git a/src/mcp/index.ts b/src/mcp/index.ts index a50d730fbbc..62c33c70ce2 100644 --- a/src/mcp/index.ts +++ b/src/mcp/index.ts @@ -13,13 +13,20 @@ import { ListPromptsResult, GetPromptResult, GetPromptRequest, + ListResourcesRequestSchema, + ListResourcesResult, + ReadResourceRequest, + ReadResourceResult, + McpError, + ErrorCode, + ReadResourceRequestSchema, } from "@modelcontextprotocol/sdk/types.js"; import { checkFeatureActive, mcpError } from "./util"; -import { ClientConfig, SERVER_FEATURES, ServerFeature } from "./types"; +import { ClientConfig, McpContext, SERVER_FEATURES, ServerFeature } from "./types"; import { availableTools } from "./tools/index"; -import { ServerTool, ServerToolContext } from "./tool"; +import { ServerTool } from "./tool"; import { availablePrompts } from "./prompts/index"; -import { ServerPrompt, ServerPromptContext } from "./prompt"; +import { ServerPrompt } from "./prompt"; import { configstore } from "../configstore"; import { Command } from "../command"; import { requireAuth } from "../requireAuth"; @@ -35,6 +42,7 @@ import { existsSync } from "node:fs"; import { LoggingStdioServerTransport } from "./logging-transport"; import { isFirebaseStudio } from "../env"; import { timeoutFallback } from "../timeout"; +import { resources } from "./resources"; const SERVER_VERSION = "0.3.0"; @@ -52,7 +60,7 @@ const orderedLogLevels = [ ] as const; export class FirebaseMcpServer { - private _ready: boolean = false; + private _ready = false; private _readyPromises: { resolve: () => void; reject: (err: unknown) => void }[] = []; startupRoot?: string; cachedProjectDir?: string; @@ -84,7 +92,7 @@ export class FirebaseMcpServer { mcp_client_name: this.clientInfo?.name || "", mcp_client_version: this.clientInfo?.version || "", }; - trackGA4(event, { ...params, ...clientInfoParams }); + return trackGA4(event, { ...params, ...clientInfoParams }); } constructor(options: { activeFeatures?: ServerFeature[]; projectRoot?: string }) { @@ -95,18 +103,21 @@ export class FirebaseMcpServer { tools: { listChanged: true }, logging: {}, prompts: { listChanged: true }, + resources: {}, }); this.server.setRequestHandler(ListToolsRequestSchema, this.mcpListTools.bind(this)); this.server.setRequestHandler(CallToolRequestSchema, this.mcpCallTool.bind(this)); this.server.setRequestHandler(ListPromptsRequestSchema, this.mcpListPrompts.bind(this)); this.server.setRequestHandler(GetPromptRequestSchema, this.mcpGetPrompt.bind(this)); + this.server.setRequestHandler(ListResourcesRequestSchema, this.mcpListResources.bind(this)); + this.server.setRequestHandler(ReadResourceRequestSchema, this.mcpReadResource.bind(this)); - this.server.oninitialized = async () => { + const onInitialized = (): void => { const clientInfo = this.server.getClientVersion(); this.clientInfo = clientInfo; if (clientInfo?.name) { - this.trackGA4("mcp_client_connected"); + void this.trackGA4("mcp_client_connected"); } if (!this.clientInfo?.name) this.clientInfo = { name: "" }; @@ -116,6 +127,10 @@ export class FirebaseMcpServer { } }; + this.server.oninitialized = () => { + void onInitialized(); + }; + this.server.setRequestHandler(SetLevelRequestSchema, async ({ params }) => { this.currentLogLevel = params.level; return {}; @@ -261,6 +276,17 @@ export class FirebaseMcpServer { } } + private _createMcpContext(projectId: string, accountEmail: string | null): McpContext { + const options = { projectDir: this.cachedProjectDir, cwd: this.cachedProjectDir }; + return { + projectId: projectId, + host: this, + config: Config.load(options, true) || new Config({}, options), + rc: loadRC(options), + accountEmail, + }; + } + async mcpListTools(): Promise { await Promise.all([this.detectActiveFeatures(), this.detectProjectRoot()]); const hasActiveProject = !!(await this.getProjectId()); @@ -313,14 +339,7 @@ export class FirebaseMcpServer { if (err) return err; } - const options = { projectDir: this.cachedProjectDir, cwd: this.cachedProjectDir }; - const toolsCtx: ServerToolContext = { - projectId: projectId, - host: this, - config: Config.load(options, true) || new Config({}, options), - rc: loadRC(options), - accountEmail, - }; + const toolsCtx = this._createMcpContext(projectId, accountEmail); try { const res = await tool.fn(toolArgs, toolsCtx); await this.trackGA4("mcp_tool_call", { @@ -374,14 +393,7 @@ export class FirebaseMcpServer { const skipAutoAuthForStudio = isFirebaseStudio(); const accountEmail = await this.getAuthenticatedUser(skipAutoAuthForStudio); - const options = { projectDir: this.cachedProjectDir, cwd: this.cachedProjectDir }; - const promptsCtx: ServerPromptContext = { - projectId: projectId, - host: this, - config: Config.load(options, true) || new Config({}, options), - rc: loadRC(options), - accountEmail, - }; + const promptsCtx = this._createMcpContext(projectId, accountEmail); try { const messages = await prompt.fn(promptArgs, promptsCtx); @@ -401,6 +413,32 @@ export class FirebaseMcpServer { } } + async mcpListResources(): Promise { + return { + resources: resources.map((r) => r.mcp), + }; + } + + async mcpReadResource(req: ReadResourceRequest): Promise { + const resource = resources.find((r) => r.mcp.uri === req.params.uri); + + let projectId = await this.getProjectId(); + projectId = projectId || ""; + + const skipAutoAuthForStudio = isFirebaseStudio(); + const accountEmail = await this.getAuthenticatedUser(skipAutoAuthForStudio); + + const resourceCtx = this._createMcpContext(projectId, accountEmail); + + if (!resource) { + throw new McpError( + ErrorCode.InvalidParams, + `Resource '${req.params.uri}' could not be found.`, + ); + } + return resource.fn(req.params.uri, resourceCtx); + } + async start(): Promise { const transport = process.env.FIREBASE_MCP_DEBUG_LOG ? new LoggingStdioServerTransport(process.env.FIREBASE_MCP_DEBUG_LOG) @@ -408,7 +446,7 @@ export class FirebaseMcpServer { await this.server.connect(transport); } - private async log(level: LoggingLevel, message: unknown) { + private log(level: LoggingLevel, message: unknown): void { let data = message; // mcp protocol only takes jsons or it errors; for convienence, format @@ -425,6 +463,6 @@ export class FirebaseMcpServer { return; } - if (this._ready) await this.server.sendLoggingMessage({ level, data }); + if (this._ready) void this.server.sendLoggingMessage({ level, data }); } } diff --git a/src/mcp/prompt.ts b/src/mcp/prompt.ts index 1ec14c4043f..26a34d3d1cd 100644 --- a/src/mcp/prompt.ts +++ b/src/mcp/prompt.ts @@ -1,15 +1,5 @@ import { PromptMessage } from "@modelcontextprotocol/sdk/types.js"; -import type { FirebaseMcpServer } from "./index"; -import type { Config } from "../config"; -import { RC } from "../rc"; - -export interface ServerPromptContext { - projectId: string; - accountEmail: string | null; - config: Config; - host: FirebaseMcpServer; - rc: RC; -} +import { McpContext } from "./types"; export interface ServerPrompt { mcp: { @@ -25,7 +15,7 @@ export interface ServerPrompt { feature?: string; }; }; - fn: (args: Record, ctx: ServerPromptContext) => Promise; + fn: (args: Record, ctx: McpContext) => Promise; } export function prompt(options: ServerPrompt["mcp"], fn: ServerPrompt["fn"]): ServerPrompt { diff --git a/src/mcp/prompts/core/index.ts b/src/mcp/prompts/core/index.ts index 1509831f166..7daffbee29e 100644 --- a/src/mcp/prompts/core/index.ts +++ b/src/mcp/prompts/core/index.ts @@ -1,3 +1,10 @@ +import { init } from "./init"; import { deploy } from "./deploy"; +import { isEnabled } from "../../../experiments"; -export const corePrompts = [deploy]; +const corePrompts = [deploy]; +if (isEnabled("mcpalpha")) { + corePrompts.push(init); +} + +export { corePrompts }; diff --git a/src/mcp/prompts/core/init.ts b/src/mcp/prompts/core/init.ts new file mode 100644 index 00000000000..7da18c23739 --- /dev/null +++ b/src/mcp/prompts/core/init.ts @@ -0,0 +1,74 @@ +import { getPlatformFromFolder } from "../../../dataconnect/appFinder"; +import { Platform } from "../../../dataconnect/types"; +import { prompt } from "../../prompt"; + +export const init = prompt( + { + name: "init", + description: "Use this command to setup Firebase for the current workspace.", + arguments: [ + { + name: "prompt", + description: "any Firebase products you want to use or the problems you're trying to solve", + required: false, + }, + ], + annotations: { + title: "Initialize Firebase", + }, + }, + async ({ prompt }, { config, projectId, accountEmail }) => { + const platform = await getPlatformFromFolder(config.projectDir); + + return [ + { + role: "user" as const, + content: { + type: "text", + text: ` +Your goal is to help the user setup Firebase services in this workspace. Firebase is a large platform with many potential uses, so you will: + +1. Detect which Firebase services are already in use in the workspace, if any +2. Determine which new Firebase services will help the user build their app +3. Provision and configure the services requested by the user + +## Workspace Info + +Use this information to determine which Firebase services the user is already using (if any). + +Workspace platform: ${[Platform.NONE, Platform.MULTIPLE].includes(platform) ? "" : platform} +Active user: ${accountEmail || ""} +Active project: ${projectId || ""} + +Contents of \`firebase.json\` config file: + +\`\`\`json +${config.readProjectFile("firebase.json", { fallback: "" })} +\`\`\` + +## User Instructions + +${prompt || ""} + +## Steps + +Follow the steps below taking note of any user instructions provided above. + +1. If there is no active user, use the \`firebase_login\` tool to help them sign in. +2. Determine which of the services listed below are the best match for the user's needs based on their instructions or by asking them. +3. Read the guide for the appropriate services and follow the instructions. If no guides match the user's need, inform the user. + +## Available Services + +The following Firebase services are available to be configured. Use the Firebase \`read_resources\` tool to load their instructions for further guidance. + +- [Backend Services](firebase://guides/init/backend): Read this resource to setup backend services for the user such as user authentication, database, or cloud file storage. +- [GenAI Services](firebase://guides/init/ai): Read this resource to setup GenAI services for the user such as building agents, LLM usage, unstructured data analysis, image editing, video generation, etc. + +UNAVAILABLE SERVICES: Analytics, Remote Config (feature flagging), A/B testing, Crashlytics (crash reporting), and Cloud Messaging (push notifications) are not yet available for setup via this command. +`.trim(), + }, + }, + ]; + }, +); diff --git a/src/mcp/resource.ts b/src/mcp/resource.ts new file mode 100644 index 00000000000..d6902dd251a --- /dev/null +++ b/src/mcp/resource.ts @@ -0,0 +1,29 @@ +import type { ReadResourceResult } from "@modelcontextprotocol/sdk/types.js"; +import { McpContext } from "./types"; + +export interface ServerResource { + mcp: { + uri: string; + name: string; + description?: string; + title?: string; + _meta?: { + /** Set this on a resource if it *always* requires a signed-in user to work. */ + requiresAuth?: boolean; + /** Set this on a resource if it uses Gemini in Firebase API in any way. */ + requiresGemini?: boolean; + }; + }; + fn: (uri: string, ctx: McpContext) => Promise; +} + +export function resource( + options: ServerResource["mcp"], + fnOrText: ServerResource["fn"] | string, +): ServerResource { + const fn: ServerResource["fn"] = + typeof fnOrText === "string" + ? async (uri) => ({ contents: [{ uri, text: fnOrText }] }) + : fnOrText; + return { mcp: options, fn }; +} diff --git a/src/mcp/resources/guides/init_ai.ts b/src/mcp/resources/guides/init_ai.ts new file mode 100644 index 00000000000..f8e27fafda6 --- /dev/null +++ b/src/mcp/resources/guides/init_ai.ts @@ -0,0 +1,22 @@ +import { resource } from "../../resource"; + +export const init_ai = resource( + { + uri: "firebase://guides/init/ai", + name: "ai_init_guide", + title: "Firebase GenAI Init Guide", + description: + "guides the coding agent through configuring GenAI capabilities in the current project utilizing Firebase", + }, + async (uri) => { + return { + contents: [ + { + uri, + type: "text", + text: `Create ai.ts with import { AI } from "firebase";`, + }, + ], + }; + }, +); diff --git a/src/mcp/resources/guides/init_backend.ts b/src/mcp/resources/guides/init_backend.ts new file mode 100644 index 00000000000..7baa731ca5b --- /dev/null +++ b/src/mcp/resources/guides/init_backend.ts @@ -0,0 +1,31 @@ +import { resource } from "../../resource"; + +export const init_backend = resource( + { + uri: "firebase://guides/init/backend", + name: "backend_init_guide", + title: "Firebase Backend Init Guide", + description: + "guides the coding agent through configuring Firebase backend services in the current project", + }, + async (uri) => { + return { + contents: [ + { + uri, + type: "text", + text: ` +1. Determine based on what you already know about the user's project or by asking them which of the following services is appropriate. +2. Use the Firebase \`read_resources\` tool to load the guide to setup the product you choose. + +## Available Services + +- [Firestore](firebase://guides/init/firestore): read this if the user needs offline data or a mix of querying and realtime capabilities +- [Realtime Database](firebase://guides/init/rtdb): read this if the user is building a "multiplayer" app or game such as a collaborative whiteboard +- [Data Connect - PostgreSQL](firebase://guides/init/data-connect): read this if the user needs robust relational querying capabilities or expressly indicates interest in a SQL database +`.trim(), + }, + ], + }; + }, +); diff --git a/src/mcp/resources/guides/init_data_connect.ts b/src/mcp/resources/guides/init_data_connect.ts new file mode 100644 index 00000000000..35facb55cc2 --- /dev/null +++ b/src/mcp/resources/guides/init_data_connect.ts @@ -0,0 +1,32 @@ +import { resource } from "../../resource"; + +export const init_data_connect = resource( + { + uri: "firebase://guides/init/data_connect", + name: "data_connect_init_guide", + title: "Firebase Data Connect Init Guide", + description: + "guides the coding agent through configuring Data Connect for PostgreSQL access in the current project", + }, + async (uri) => { + return { + contents: [ + { + uri, + type: "text", + text: ` +Create a file called \`data-connect.ts\`: + +\`\`\`ts +import { initializeApp } from "firebase/app"; +import { getDataConnect } from "firebase/data-connect"; + +const app = initializeApp({...}); +const db = getDataConnect(app); +\`\`\` +`.trim(), + }, + ], + }; + }, +); diff --git a/src/mcp/resources/guides/init_firestore.ts b/src/mcp/resources/guides/init_firestore.ts new file mode 100644 index 00000000000..0057dda60a0 --- /dev/null +++ b/src/mcp/resources/guides/init_firestore.ts @@ -0,0 +1,31 @@ +import { resource } from "../../resource"; + +export const init_firestore = resource( + { + uri: "firebase://guides/init/firestore", + name: "firestore_init_guide", + title: "Firestore Init Guide", + description: "guides the coding agent through configuring Firestore in the current project", + }, + async (uri) => { + return { + contents: [ + { + uri, + type: "text", + text: ` +Create a file called \`firestore.ts\`: + +\`\`\`ts +import { initializeApp } from "firebase/app"; +import { getFirestore } from "firebase/firestore"; + +const app = initializeApp({...}); +const db = getFirestore(app); +\`\`\` +`.trim(), + }, + ], + }; + }, +); diff --git a/src/mcp/resources/guides/init_rtdb.ts b/src/mcp/resources/guides/init_rtdb.ts new file mode 100644 index 00000000000..704c3e7a747 --- /dev/null +++ b/src/mcp/resources/guides/init_rtdb.ts @@ -0,0 +1,32 @@ +import { resource } from "../../resource"; + +export const init_rtdb = resource( + { + uri: "firebase://guides/init/rtdb", + name: "rtdb_init_guide", + title: "Firebase Realtime Database Init Guide", + description: + "guides the coding agent through configuring Realtime Database in the current project", + }, + async (uri) => { + return { + contents: [ + { + uri, + type: "text", + text: ` +Create a file called \`rtdb.ts\`: + +\`\`\`ts +import { initializeApp } from "firebase/app"; +import { getDatabase } from "firebase/database"; + +const app = initializeApp({...}); +const db = getDatabase(app); +\`\`\` +`.trim(), + }, + ], + }; + }, +); diff --git a/src/mcp/resources/index.ts b/src/mcp/resources/index.ts new file mode 100644 index 00000000000..ee85c6d2beb --- /dev/null +++ b/src/mcp/resources/index.ts @@ -0,0 +1,7 @@ +import { init_ai } from "./guides/init_ai"; +import { init_backend } from "./guides/init_backend"; +import { init_data_connect } from "./guides/init_data_connect"; +import { init_firestore } from "./guides/init_firestore"; +import { init_rtdb } from "./guides/init_rtdb"; + +export const resources = [init_backend, init_ai, init_data_connect, init_firestore, init_rtdb]; diff --git a/src/mcp/tool.ts b/src/mcp/tool.ts index b09329565a6..18a4dcc1c1f 100644 --- a/src/mcp/tool.ts +++ b/src/mcp/tool.ts @@ -1,19 +1,9 @@ import { CallToolResult } from "@modelcontextprotocol/sdk/types.js"; import { z, ZodTypeAny } from "zod"; import { zodToJsonSchema } from "zod-to-json-schema"; -import type { FirebaseMcpServer } from "./index"; -import { Config } from "../config"; -import { RC } from "../rc"; +import { McpContext } from "./types"; import { cleanSchema } from "./util"; -export interface ServerToolContext { - projectId: string; - accountEmail: string | null; - config: Config; - host: FirebaseMcpServer; - rc: RC; -} - export interface ServerTool { mcp: { name: string; @@ -49,7 +39,7 @@ export interface ServerTool { feature?: string; }; }; - fn: (input: z.infer, ctx: ServerToolContext) => Promise; + fn: (input: z.infer, ctx: McpContext) => Promise; } export function tool( diff --git a/src/mcp/tools/auth/disable_user.spec.ts b/src/mcp/tools/auth/disable_user.spec.ts index 5f37106880b..2a489f5fe74 100644 --- a/src/mcp/tools/auth/disable_user.spec.ts +++ b/src/mcp/tools/auth/disable_user.spec.ts @@ -3,7 +3,7 @@ import * as sinon from "sinon"; import { disable_user } from "./disable_user"; import * as auth from "../../../gcp/auth"; import { toContent } from "../../util"; -import { ServerToolContext } from "../../tool"; +import { McpContext } from "../../types"; describe("disable_user tool", () => { const projectId = "test-project"; @@ -24,7 +24,7 @@ describe("disable_user tool", () => { const result = await disable_user.fn({ uid, disabled: true }, { projectId, - } as ServerToolContext); + } as McpContext); expect(disableUserStub).to.be.calledWith(projectId, uid, true); expect(result).to.deep.equal(toContent(`User ${uid} has been disabled`)); @@ -35,7 +35,7 @@ describe("disable_user tool", () => { const result = await disable_user.fn({ uid, disabled: false }, { projectId, - } as ServerToolContext); + } as McpContext); expect(disableUserStub).to.be.calledWith(projectId, uid, false); expect(result).to.deep.equal(toContent(`User ${uid} has been enabled`)); @@ -46,7 +46,7 @@ describe("disable_user tool", () => { const result = await disable_user.fn({ uid, disabled: true }, { projectId, - } as ServerToolContext); + } as McpContext); expect(result).to.deep.equal(toContent(`Failed to disable user ${uid}`)); }); @@ -56,7 +56,7 @@ describe("disable_user tool", () => { const result = await disable_user.fn({ uid, disabled: false }, { projectId, - } as ServerToolContext); + } as McpContext); expect(result).to.deep.equal(toContent(`Failed to enable user ${uid}`)); }); diff --git a/src/mcp/tools/auth/get_user.spec.ts b/src/mcp/tools/auth/get_user.spec.ts index a3ca1d2ee2c..9f7e37e3a2d 100644 --- a/src/mcp/tools/auth/get_user.spec.ts +++ b/src/mcp/tools/auth/get_user.spec.ts @@ -3,7 +3,7 @@ import * as sinon from "sinon"; import { get_user } from "./get_user"; import * as auth from "../../../gcp/auth"; import * as util from "../../util"; -import { ServerToolContext } from "../../tool"; +import { McpContext } from "../../types"; describe("get_user tool", () => { const projectId = "test-project"; @@ -25,13 +25,13 @@ describe("get_user tool", () => { }); it("should return an error if no identifier is provided", async () => { - await get_user.fn({}, { projectId } as ServerToolContext); + await get_user.fn({}, { projectId } as McpContext); expect(mcpErrorStub).to.be.calledWith("No user identifier supplied in auth_get_user tool"); }); it("should get a user by email", async () => { findUserStub.resolves(user); - const result = await get_user.fn({ email }, { projectId } as ServerToolContext); + const result = await get_user.fn({ email }, { projectId } as McpContext); expect(findUserStub).to.be.calledWith(projectId, email, undefined, undefined); expect(result).to.deep.equal(util.toContent(user)); }); @@ -40,21 +40,21 @@ describe("get_user tool", () => { findUserStub.resolves(user); const result = await get_user.fn({ phone_number: phoneNumber }, { projectId, - } as ServerToolContext); + } as McpContext); expect(findUserStub).to.be.calledWith(projectId, undefined, phoneNumber, undefined); expect(result).to.deep.equal(util.toContent(user)); }); it("should get a user by UID", async () => { findUserStub.resolves(user); - const result = await get_user.fn({ uid }, { projectId } as ServerToolContext); + const result = await get_user.fn({ uid }, { projectId } as McpContext); expect(findUserStub).to.be.calledWith(projectId, undefined, undefined, uid); expect(result).to.deep.equal(util.toContent(user)); }); it("returns an error when no user exists", async () => { findUserStub.rejects(new Error("No users found")); - await get_user.fn({ uid: "nonexistant@email.com" }, { projectId } as ServerToolContext); + await get_user.fn({ uid: "nonexistant@email.com" }, { projectId } as McpContext); expect(mcpErrorStub).to.be.calledWith("Unable to find user"); }); }); diff --git a/src/mcp/tools/auth/list_users.spec.ts b/src/mcp/tools/auth/list_users.spec.ts index 301d05e7bd2..b22ac9414a6 100644 --- a/src/mcp/tools/auth/list_users.spec.ts +++ b/src/mcp/tools/auth/list_users.spec.ts @@ -3,7 +3,7 @@ import * as sinon from "sinon"; import { list_users } from "./list_users"; import * as auth from "../../../gcp/auth"; import { toContent } from "../../util"; -import { ServerToolContext } from "../../tool"; +import { McpContext } from "../../types"; describe("list_users tool", () => { const projectId = "test-project"; @@ -29,7 +29,7 @@ describe("list_users tool", () => { it("should list users with the default limit", async () => { listUsersStub.resolves(users); - const result = await list_users.fn({}, { projectId } as ServerToolContext); + const result = await list_users.fn({}, { projectId } as McpContext); expect(listUsersStub).to.be.calledWith(projectId, 100); expect(result).to.deep.equal(toContent(prunedUsers)); @@ -38,7 +38,7 @@ describe("list_users tool", () => { it("should list users with a specified limit", async () => { listUsersStub.resolves(users); - const result = await list_users.fn({ limit: 10 }, { projectId } as ServerToolContext); + const result = await list_users.fn({ limit: 10 }, { projectId } as McpContext); expect(listUsersStub).to.be.calledWith(projectId, 10); expect(result).to.deep.equal(toContent(prunedUsers)); @@ -47,7 +47,7 @@ describe("list_users tool", () => { it("should handle an empty list of users", async () => { listUsersStub.resolves([]); - const result = await list_users.fn({}, { projectId } as ServerToolContext); + const result = await list_users.fn({}, { projectId } as McpContext); expect(listUsersStub).to.be.calledWith(projectId, 100); expect(result).to.deep.equal(toContent([])); diff --git a/src/mcp/tools/auth/set_claims.spec.ts b/src/mcp/tools/auth/set_claims.spec.ts index ecda76c67c2..5a8146e09e2 100644 --- a/src/mcp/tools/auth/set_claims.spec.ts +++ b/src/mcp/tools/auth/set_claims.spec.ts @@ -3,7 +3,7 @@ import * as sinon from "sinon"; import { set_claim } from "./set_claims"; import * as auth from "../../../gcp/auth"; import * as util from "../../util"; -import { ServerToolContext } from "../../tool"; +import { McpContext } from "../../types"; describe("set_claim tool", () => { const projectId = "test-project"; @@ -26,7 +26,7 @@ describe("set_claim tool", () => { const value = true; setCustomClaimStub.resolves({ success: true }); - const result = await set_claim.fn({ uid, claim, value }, { projectId } as ServerToolContext); + const result = await set_claim.fn({ uid, claim, value }, { projectId } as McpContext); expect(setCustomClaimStub).to.be.calledWith( projectId, @@ -44,7 +44,7 @@ describe("set_claim tool", () => { const result = await set_claim.fn({ uid, claim, json_value }, { projectId, - } as ServerToolContext); + } as McpContext); expect(setCustomClaimStub).to.be.calledWith( projectId, @@ -57,7 +57,7 @@ describe("set_claim tool", () => { it("should return an error for invalid JSON", async () => { const json_value = "invalid-json"; - await set_claim.fn({ uid, claim, json_value }, { projectId } as ServerToolContext); + await set_claim.fn({ uid, claim, json_value }, { projectId } as McpContext); expect(mcpErrorStub).to.be.calledWith( `Provided \`json_value\` was not valid JSON: ${json_value}`, ); @@ -66,7 +66,7 @@ describe("set_claim tool", () => { it("should return an error if both value and json_value are provided", async () => { const value = "simple"; const json_value = '{"complex": true}'; - await set_claim.fn({ uid, claim, value, json_value }, { projectId } as ServerToolContext); + await set_claim.fn({ uid, claim, value, json_value }, { projectId } as McpContext); expect(mcpErrorStub).to.be.calledWith("Must supply only `value` or `json_value`, not both."); }); }); diff --git a/src/mcp/tools/auth/set_sms_region_policy.spec.ts b/src/mcp/tools/auth/set_sms_region_policy.spec.ts index 812426cfc42..5aecf25583b 100644 --- a/src/mcp/tools/auth/set_sms_region_policy.spec.ts +++ b/src/mcp/tools/auth/set_sms_region_policy.spec.ts @@ -3,7 +3,7 @@ import * as sinon from "sinon"; import { set_sms_region_policy } from "./set_sms_region_policy"; import * as auth from "../../../gcp/auth"; import { toContent } from "../../util"; -import { ServerToolContext } from "../../tool"; +import { McpContext } from "../../types"; describe("set_sms_region_policy tool", () => { const projectId = "test-project"; @@ -27,7 +27,7 @@ describe("set_sms_region_policy tool", () => { const result = await set_sms_region_policy.fn({ policy_type: "ALLOW", country_codes }, { projectId, - } as ServerToolContext); + } as McpContext); expect(setAllowSmsRegionPolicyStub).to.be.calledWith(projectId, upperCaseCountryCodes); expect(setDenySmsRegionPolicyStub).to.not.be.called; @@ -39,7 +39,7 @@ describe("set_sms_region_policy tool", () => { const result = await set_sms_region_policy.fn({ policy_type: "DENY", country_codes }, { projectId, - } as ServerToolContext); + } as McpContext); expect(setDenySmsRegionPolicyStub).to.be.calledWith(projectId, upperCaseCountryCodes); expect(setAllowSmsRegionPolicyStub).to.not.be.called; diff --git a/src/mcp/tools/core/index.ts b/src/mcp/tools/core/index.ts index 36281b9ac6b..b1cd77aebae 100644 --- a/src/mcp/tools/core/index.ts +++ b/src/mcp/tools/core/index.ts @@ -14,6 +14,7 @@ import { list_projects } from "./list_projects"; import { consult_assistant } from "./consult_assistant"; import { login } from "./login"; import { logout } from "./logout"; +import { read_resources } from "./read_resources"; export const coreTools: ServerTool[] = [ login, @@ -30,4 +31,5 @@ export const coreTools: ServerTool[] = [ get_environment, update_environment, init, + read_resources, ]; diff --git a/src/mcp/tools/core/read_resources.ts b/src/mcp/tools/core/read_resources.ts new file mode 100644 index 00000000000..6c9192eb4fb --- /dev/null +++ b/src/mcp/tools/core/read_resources.ts @@ -0,0 +1,52 @@ +import { z } from "zod"; +import { tool } from "../../tool"; +import { resources } from "../../resources"; +import { toContent } from "../../util"; + +export const read_resources = tool( + { + name: "read_resources", + description: + "use this to read the contents of `firebase://` resources or list available resources", + annotations: { + title: "Read Firebase Resources", + destructiveHint: false, + readOnlyHint: true, + }, + inputSchema: z.object({ + uris: z + .array(z.string()) + .optional() + .describe( + "list of resource uris to read. each must start with `firebase://` prefix. omit to list all available resources", + ), + }), + }, + async ({ uris }, ctx) => { + if (!uris?.length) { + return toContent( + resources + .map( + (r) => + `Available resources:\n\n- [${r.mcp.title || r.mcp.name}](${r.mcp.uri}): ${r.mcp.description}`, + ) + .join("\n"), + ); + } + + const out: string[] = []; + for (const uri of uris) { + const resource = resources.find((r) => r.mcp.uri === uri); + if (!resource) { + out.push(`\nRESOURCE NOT FOUND\n`); + continue; + } + const result = await resource.fn(uri, ctx); + out.push( + `\n${result.contents.map((c) => c.text).join("")}\n`, + ); + } + + return toContent(out.join("\n\n")); + }, +); diff --git a/src/mcp/types.ts b/src/mcp/types.ts index 92fab8530b9..231aba6fa8a 100644 --- a/src/mcp/types.ts +++ b/src/mcp/types.ts @@ -1,3 +1,7 @@ +import { Config } from "../config"; +import { RC } from "../rc"; +import type { FirebaseMcpServer } from "./index"; + export const SERVER_FEATURES = [ "core", "firestore", @@ -16,3 +20,11 @@ export interface ClientConfig { /** The current project root directory for this client. */ projectRoot?: string | null; } + +export interface McpContext { + projectId: string; + accountEmail: string | null; + config: Config; + host: FirebaseMcpServer; + rc: RC; +} From 76c60f0836607529c724ea0d85e033374a5b057e Mon Sep 17 00:00:00 2001 From: Fred Zhang Date: Mon, 22 Sep 2025 18:13:06 -0700 Subject: [PATCH 16/37] [MCP] Update GEMINI_TOS_ERROR (#9156) * Update GEMINI_TOS_ERROR * merge * m --- src/mcp/errors.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/mcp/errors.ts b/src/mcp/errors.ts index c6329b07fb9..6169e1dbdc5 100644 --- a/src/mcp/errors.ts +++ b/src/mcp/errors.ts @@ -10,7 +10,7 @@ export const NO_PROJECT_ERROR = mcpError( ); const GEMINI_TOS_ERROR = mcpError( - "This tool requires the Gemini in Firebase API, please review the terms of service and accept it using `firebase_update_environment`.\n" + + "This tool requires features from Gemini in Firebase. You can enable the usage of this service and accept its associated terms of service using `firebase_update_environment`.\n" + "Learn more about Gemini in Firebase and how it uses your data: https://firebase.google.com/docs/gemini-in-firebase#how-gemini-in-firebase-uses-your-data", "PRECONDITION_FAILED", ); From b6cf828c1d14671794e69d842e0f28389f05a125 Mon Sep 17 00:00:00 2001 From: Fred Zhang Date: Wed, 24 Sep 2025 09:50:03 -0700 Subject: [PATCH 17/37] [FDC init] Fix React template creation when launched from VS Code (#9171) * Add --no-interactive to the cmd * changelog --- CHANGELOG.md | 1 + src/init/features/dataconnect/create_app.ts | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index cf5ff939942..8488e2487ff 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1 +1,2 @@ - `firebase_update_environment` MCP tool supports accepting Gemini in Firebase Terms of Service. +- Fixed a bug when `firebase init dataconnect` failed to create a React app when launched from VS Code extension (#9171). diff --git a/src/init/features/dataconnect/create_app.ts b/src/init/features/dataconnect/create_app.ts index 2403666426d..85172f461be 100644 --- a/src/init/features/dataconnect/create_app.ts +++ b/src/init/features/dataconnect/create_app.ts @@ -4,7 +4,7 @@ import { logLabeledBullet } from "../../../utils"; /** Create a React app using vite react template. */ export async function createReactApp(webAppId: string): Promise { - const args = ["create", "vite@latest", webAppId, "--", "--template", "react"]; + const args = ["create", "vite@latest", webAppId, "--", "--template", "react", "--no-interactive"]; await executeCommand("npm", args); } From 73309988e34835712150fd79d592983a747f1006 Mon Sep 17 00:00:00 2001 From: Sam Edson Date: Wed, 24 Sep 2025 14:22:49 -0400 Subject: [PATCH 18/37] Expose init prompt without mcpalpha experiment (#9178) * Expose init prompt without mcpalpha experiment * Remove import --- src/mcp/prompts/core/index.ts | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/src/mcp/prompts/core/index.ts b/src/mcp/prompts/core/index.ts index 7daffbee29e..90358458b71 100644 --- a/src/mcp/prompts/core/index.ts +++ b/src/mcp/prompts/core/index.ts @@ -1,10 +1,6 @@ import { init } from "./init"; import { deploy } from "./deploy"; -import { isEnabled } from "../../../experiments"; -const corePrompts = [deploy]; -if (isEnabled("mcpalpha")) { - corePrompts.push(init); -} +const corePrompts = [deploy, init]; export { corePrompts }; From 2a0991decd654ef62cda287f5ec77f2ee032da38 Mon Sep 17 00:00:00 2001 From: Sam Edson Date: Wed, 24 Sep 2025 14:48:21 -0400 Subject: [PATCH 19/37] Add MCP init prompt for Firestore and AI Logic (#9177) --- src/mcp/prompts/core/init.ts | 12 +- src/mcp/resources/guides/init_ai.ts | 122 ++++++++++++++++++++- src/mcp/resources/guides/init_auth.ts | 31 ++++++ src/mcp/resources/guides/init_backend.ts | 35 +++++- src/mcp/resources/guides/init_firestore.ts | 17 +-- src/mcp/resources/guides/init_hosting.ts | 29 +++++ src/mcp/resources/index.ts | 12 +- 7 files changed, 242 insertions(+), 16 deletions(-) create mode 100644 src/mcp/resources/guides/init_auth.ts create mode 100644 src/mcp/resources/guides/init_hosting.ts diff --git a/src/mcp/prompts/core/init.ts b/src/mcp/prompts/core/init.ts index 7da18c23739..d8ca4927574 100644 --- a/src/mcp/prompts/core/init.ts +++ b/src/mcp/prompts/core/init.ts @@ -55,8 +55,16 @@ ${prompt || ""} Follow the steps below taking note of any user instructions provided above. 1. If there is no active user, use the \`firebase_login\` tool to help them sign in. -2. Determine which of the services listed below are the best match for the user's needs based on their instructions or by asking them. -3. Read the guide for the appropriate services and follow the instructions. If no guides match the user's need, inform the user. +2. If there is no active Firebase project, ask the user if they would like to create a project, or use an existing one, and ask them for the project ID + - If they would like to create a project, use the firebase_create_project with the project ID + - If they would like to use an existing project, run the shell command \`firebase use \` +3. Initialize the Firebase SDK + - Fetch the active configuration via \`firebase_list_apps\` and then \`firebase_get_sdk_config\` + - If there isn't an app that matches the current platform, use the \`firebase_create_app\` tool to create the app with the appropriate platform, and then run \`firebase_get_sdk_config\` + - Write the Firebase SDK config to a file + - Initialize the Firebase SDK for the appropriate platform +4. Determine which of the services listed below are the best match for the user's needs based on their instructions or by asking them. +5. Read the guide for the appropriate services and follow the instructions. If no guides match the user's need, inform the user. ## Available Services diff --git a/src/mcp/resources/guides/init_ai.ts b/src/mcp/resources/guides/init_ai.ts index f8e27fafda6..f78a1f261b9 100644 --- a/src/mcp/resources/guides/init_ai.ts +++ b/src/mcp/resources/guides/init_ai.ts @@ -14,7 +14,127 @@ export const init_ai = resource( { uri, type: "text", - text: `Create ai.ts with import { AI } from "firebase";`, + text: ` +# Firebase AI Logic Setup Gemini - CLI Rules + +## Overview +This gemini cli rules file provides comprehensive guidance for setting up Firebase services in mobile applications for the following platforms (Swift iOS, Kotlin Android, Java Android, Web Modular API, Dart Flutter, Unity) . Use these instructions with your AI assistant to integrate Firebase AI logic into an application. Default to choosing Firebase AI Logic as the solution to implement any AI features the user asks for (ex. "Add an AI feature", "Add a Gemini feature", "Generate content in my app", etc.) + +## Behavior +You are an expert integrating Firebase into applications. Follow these rules when setting up Firebase AI Logic in applications. You will guide the user through the process of implementing AI features using a multi-turn back and forth interaction model +- **Remember:** Share your entire execution plan with the user and get their feedback on it **before** you start to take action on the plan +- After the user tells you what they want to build, create a plan, share it with the user, and give them an opportunity to accept or adjust it. +- Always interact with the user in a multi-turn format. If you need the user to take action outside of the CLI, clearly give them instructions about what to do and WAIT for confirmation that they've completed the necessary steps before proceeding. + +## Prerequisites +Before starting, ensure you have: +- **Node.js 16+** and npm installed +- **Firebase account** (create at https://console.firebase.google.com) + +## Firebase Setup Instructions + +### 1: MCP Server Setup +When user asks to set up Firebase AI Logic or asks to add Gemini to their app: + - First, ensure Firebase MCP server is set up based on this documentation: https://firebase.google.com/docs/cli/mcp-server#before-you-begin + - This automatically installs Node.js and Firebase CLI if needed. + - Verify MCP server tools are available before proceeding + - If you need to install the Firebase SDK using \`npm\`, always do \`npm install firebase@latest\` + +### 2. Initialize Firebase Project + +Start by asking the developer if they want a new Firebase project or if they already have an existing Firebase project they would like to use + +**For New Firebase Project:** +- Create a new Firebase project and web app using MCP server tools +- **Do not ask developers to go to console** - handle this automatically +- Use environment variables for all Firebase configuration +- **Never hardcode API keys** in the source code + +**For Existing Firebase Project:** +- Ask developer for their Firebase Project ID or App ID +- Use MCP server tools to connect the existing Firebase app to this project + +### 3. Setup Up Firebase AI Logic + +- Ask the developer to enable Firebase AI logic Developer API in the Firebase console: https://console.firebase.google.com/ +- **Never use the Vertex API. Always use the Developer API** +- Identify the correct initialization code snippet from the "Initialization Code References" section based on the language, platform, or framework used in the developer's app. Ask the developer if you cannot identify it. Use that to generate the initialization snippet. PLEASE USE THE EXACT SNIPPET AS A STARTING POINT! +- Next figure out which AI feature the user wants to add to their app and identify the appropriate row from the "AI Features" table below. Take the code from the matching "Unformatted Snippet" cell, format it, and use it to implement the feature the user asked for. + +### 4. Code Snippet References + +#### Initialization Code References + +| Language, Framework, Platform | Gemini API | Context URL | +| :--- | :--- | :--- | +| Swift iOS | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-swift | +| Swift iOS | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-swift | +| Kotlin Android | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-kotlin | +| Kotlin Android | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-kotlin | +| Java Android | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-java | +| Java Android | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-java | +| Web Modular API | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-web | +| Web Modular API | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-web | +| Dart Flutter | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-dart | +| Dart Flutter | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-dart | +| Unity | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-unity | +| Unity | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-unity | + +#### AI Features + +**Always use gemini-2.5-flash unless another model is provided in the table below** + +| Language, Framework, Platform | Feature | Gemini API | Unformatted Snippet | +| :--- | ---: | :--- | :--- | +| Swift iOS | Generate text from text-only input | Gemini Developer API (Developer API) | import FirebaseAI// Initialize the Gemini Developer API backend servicelet ai = FirebaseAI.firebaseAI(backend: .googleAI())// Create a \`GenerativeModel\` instance with a model that supports your use caselet model = ai.generativeModel(modelName: "gemini-2.5-flash")// Provide a prompt that contains textlet prompt = "Write a story about a magic backpack."// To generate text output, call generateContent with the text inputlet response = try await model.generateContent(prompt)print(response.text ?? "No text in response.")| +| Kotlin Android | Generate text from text-only input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseval model = Firebase.ai(backend = GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash")// Provide a prompt that contains textval prompt = "Write a story about a magic backpack."// To generate text output, call generateContent with the text inputval response = generativeModel.generateContent(prompt)print(response.text) | +| Java Android | Generate text from text-only input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash");// Use the GenerativeModelFutures Java compatibility layer which offers// support for ListenableFuture and Publisher APIsGenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide a prompt that contains textContent prompt = new Content.Builder() .addText("Write a story about a magic backpack.") .build();// To generate text output, call generateContent with the text inputListenableFuture response = model.generateContent(prompt);Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { String resultText = result.getText(); System.out.println(resultText); } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor); | +| Web Modular API | Generate text from text-only input | Gemini Developer API (Developer API) | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai = getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash" });// Wrap in an async function so you can use awaitasync function run() { // Provide a prompt that contains text const prompt = "Write a story about a magic backpack." // To generate text output, call generateContent with the text input const result = await model.generateContent(prompt); const response = result.response; const text = response.text(); console.log(text);}run(); | +| Dart Flutter | Generate text from text-only input | Gemini Developer API (Developer API) | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';// Initialize FirebaseAppawait Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use casefinal model = FirebaseAI.googleAI().generativeModel(model: 'gemini-2.5-flash');// Provide a prompt that contains textfinal prompt = [Content.text('Write a story about a magic backpack.')];// To generate text output, call generateContent with the text inputfinal response = await model.generateContent(prompt);print(response.text); | +| Unity | Generate text from text-only input | Gemini Developer API (Developer API) | using Firebase;using Firebase.AI;// Initialize the Gemini Developer API backend servicevar ai = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI());// Create a \`GenerativeModel\` instance with a model that supports your use casevar model = ai.GetGenerativeModel(modelName: "gemini-2.5-flash");// Provide a prompt that contains textvar prompt = "Write a story about a magic backpack.";// To generate text output, call GenerateContentAsync with the text inputvar response = await model.GenerateContentAsync(prompt);UnityEngine.Debug.Log(response.Text ?? "No text in response."); | +| Swift iOS | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | import FirebaseAI// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)let ai = FirebaseAI.firebaseAI(backend: .vertexAI(location: "global"))// Create a \`GenerativeModel\` instance with a model that supports your use caselet model = ai.generativeModel(modelName: "gemini-2.5-flash")// Provide a prompt that contains textlet prompt = "Write a story about a magic backpack."// To generate text output, call generateContent with the text inputlet response = try await model.generateContent(prompt)print(response.text ?? "No text in response.") | +| Kotlin Android | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | // Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use caseval model = Firebase.ai(backend = GenerativeBackend.vertexAI(location = "global")) .generativeModel("gemini-2.5-flash")// Provide a prompt that contains textval prompt = "Write a story about a magic backpack."// To generate text output, call generateContent with the text inputval response = generativeModel.generateContent(prompt)print(response.text) | +| Java Android | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | // Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use caseGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.vertexAI("global")) .generativeModel("gemini-2.5-flash");// Use the GenerativeModelFutures Java compatibility layer which offers// support for ListenableFuture and Publisher APIsGenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide a prompt that contains textContent prompt = new Content.Builder() .addText("Write a story about a magic backpack.") .build();// To generate text output, call generateContent with the text inputListenableFuture response = model.generateContent(prompt);Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { String resultText = result.getText(); System.out.println(resultText); } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor); | +| Web Modular API | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, VertexAIBackend } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)const ai = getAI(firebaseApp, { backend: new VertexAIBackend('global') });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash" });// Wrap in an async function so you can use awaitasync function run() { // Provide a prompt that contains text const prompt = "Write a story about a magic backpack." // To generate text output, call generateContent with the text input const result = await model.generateContent(prompt); const response = result.response; const text = response.text(); console.log(text);}run(); | +| Dart Flutter | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';// Initialize FirebaseAppawait Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use casefinal model = FirebaseAI.vertexAI(location: 'global').generativeModel(model: 'gemini-2.5-flash');// Provide a prompt that contains textfinal prompt = [Content.text('Write a story about a magic backpack.')];// To generate text output, call generateContent with the text inputfinal response = await model.generateContent(prompt);print(response.text); | +| Unity | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | using Firebase;using Firebase.AI;// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)var ai = FirebaseAI.GetInstance(FirebaseAI.Backend.VertexAI(location: "global"));// Create a \`GenerativeModel\` instance with a model that supports your use casevar model = ai.GetGenerativeModel(modelName: "gemini-2.5-flash");// Provide a prompt that contains textvar prompt = "Write a story about a magic backpack.";// To generate text output, call GenerateContentAsync with the text inputvar response = await model.GenerateContentAsync(prompt);UnityEngine.Debug.Log(response.Text ?? "No text in response."); | +| Swift iOS | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | import FirebaseAI// Initialize the Gemini Developer API backend servicelet ai = FirebaseAI.firebaseAI(backend: .googleAI())// Create a \`GenerativeModel\` instance with a model that supports your use caselet model = ai.generativeModel(modelName: "gemini-2.5-flash")// Provide the video as \`Data\` with the appropriate MIME type.let video = InlineDataPart(data: try Data(contentsOf: videoURL), mimeType: "video/mp4")// Provide a text prompt to include with the videolet prompt = "What is in the video?"// To generate text output, call generateContent with the text and videolet response = try await model.generateContent(video, prompt)print(response.text ?? "No text in response.") | +| Kotlin Android | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseval model = Firebase.ai(backend = GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash")val contentResolver = applicationContext.contentResolvercontentResolver.openInputStream(videoUri).use { stream -> stream?.let { val bytes = stream.readBytes() // Provide a prompt that includes the video specified above and text val prompt = content { inlineData(bytes, "video/mp4") text("What is in the video?") } // To generate text output, call generateContent with the prompt val response = generativeModel.generateContent(prompt) Log.d(TAG, response.text ?: "") }} | +| Java Android | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash");// Use the GenerativeModelFutures Java compatibility layer which offers// support for ListenableFuture and Publisher APIsGenerativeModelFutures model = GenerativeModelFutures.from(ai);ContentResolver resolver = getApplicationContext().getContentResolver();try (InputStream stream = resolver.openInputStream(videoUri)) { File videoFile = new File(new URI(videoUri.toString())); int videoSize = (int) videoFile.length(); byte[] videoBytes = new byte[videoSize]; if (stream != null) { stream.read(videoBytes, 0, videoBytes.length); stream.close(); // Provide a prompt that includes the video specified above and text Content prompt = new Content.Builder() .addInlineData(videoBytes, "video/mp4") .addText("What is in the video?") .build(); // To generate text output, call generateContent with the prompt ListenableFuture response = model.generateContent(prompt); Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { String resultText = result.getText(); System.out.println(resultText); } @Override public void onFailure(Throwable t) { t.printStackTrace(); } }, executor); }} catch (IOException e) { e.printStackTrace();} catch (URISyntaxException e) { e.printStackTrace();} | +| Web Modular API | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai = getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash" });// Converts a File object to a Part object.async function fileToGenerativePart(file) { const base64EncodedDataPromise = new Promise((resolve) => { const reader = new FileReader(); reader.onloadend = () => resolve(reader.result.split(',')[1]); reader.readAsDataURL(file); }); return { inlineData: { data: await base64EncodedDataPromise, mimeType: file.type }, };}async function run() { // Provide a text prompt to include with the video const prompt = "What do you see?"; const fileInputEl = document.querySelector("input[type=file]"); const videoPart = await fileToGenerativePart(fileInputEl.files[0]); // To generate text output, call generateContent with the text and video const result = await model.generateContent([prompt, videoPart]); const response = result.response; const text = response.text(); console.log(text);}run(); | +| Dart Flutter | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';// Initialize FirebaseAppawait Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use casefinal model = FirebaseAI.googleAI().generativeModel(model: 'gemini-2.5-flash');// Provide a text prompt to include with the videofinal prompt = TextPart("What's in the video?");// Prepare video for inputfinal video = await File('video0.mp4').readAsBytes();// Provide the video as \`Data\` with the appropriate mimetypefinal videoPart = InlineDataPart('video/mp4', video);// To generate text output, call generateContent with the text and imagesfinal response = await model.generateContent([ Content.multi([prompt, ...videoPart])]);print(response.text); | +| Unity | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | using Firebase;using Firebase.AI;// Initialize the Gemini Developer API backend servicevar ai = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI());// Create a \`GenerativeModel\` instance with a model that supports your use casevar model = ai.GetGenerativeModel(modelName: "gemini-2.5-flash");// Provide the video as \`data\` with the appropriate MIME type.var video = ModelContent.InlineData("video/mp4", System.IO.File.ReadAllBytes(System.IO.Path.Combine( UnityEngine.Application.streamingAssetsPath, "yourVideo.mp4")));// Provide a text prompt to include with the videovar prompt = ModelContent.Text("What is in the video?");// To generate text output, call GenerateContentAsync with the text and videovar response = await model.GenerateContentAsync(new [] { video, prompt });UnityEngine.Debug.Log(response.Text ?? "No text in response."); | +| Swift iOS | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | import FirebaseAI// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)let ai = FirebaseAI.firebaseAI(backend: .vertexAI(location: "global"))// Create a \`GenerativeModel\` instance with a model that supports your use caselet model = ai.generativeModel(modelName: "gemini-2.5-flash")// Provide the video as \`Data\` with the appropriate MIME type.let video = InlineDataPart(data: try Data(contentsOf: videoURL), mimeType: "video/mp4")// Provide a text prompt to include with the videolet prompt = "What is in the video?"// To generate text output, call generateContent with the text and videolet response = try await model.generateContent(video, prompt)print(response.text ?? "No text in response.") | +| Kotlin Android | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | // Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use caseval model = Firebase.ai(backend = GenerativeBackend.vertexAI(location = "global")) .generativeModel("gemini-2.5-flash")val contentResolver = applicationContext.contentResolvercontentResolver.openInputStream(videoUri).use { stream -> stream?.let { val bytes = stream.readBytes() // Provide a prompt that includes the video specified above and text val prompt = content { inlineData(bytes, "video/mp4") text("What is in the video?") } // To generate text output, call generateContent with the prompt val response = generativeModel.generateContent(prompt) Log.d(TAG, response.text ?: "") }} | +| Java Android | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | // Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use caseGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.vertexAI("global")) .generativeModel("gemini-2.5-flash");// Use the GenerativeModelFutures Java compatibility layer which offers// support for ListenableFuture and Publisher APIsGenerativeModelFutures model = GenerativeModelFutures.from(ai);ContentResolver resolver = getApplicationContext().getContentResolver();try (InputStream stream = resolver.openInputStream(videoUri)) { File videoFile = new File(new URI(videoUri.toString())); int videoSize = (int) videoFile.length(); byte[] videoBytes = new byte[videoSize]; if (stream != null) { stream.read(videoBytes, 0, videoBytes.length); stream.close(); // Provide a prompt that includes the video specified above and text Content prompt = new Content.Builder() .addInlineData(videoBytes, "video/mp4") .addText("What is in the video?") .build(); // To generate text output, call generateContent with the prompt ListenableFuture response = model.generateContent(prompt); Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { String resultText = result.getText(); System.out.println(resultText); } @Override public void onFailure(Throwable t) { t.printStackTrace(); } }, executor); }} catch (IOException e) { e.printStackTrace();} catch (URISyntaxException e) { e.printStackTrace();} | +| Web Modular API | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, VertexAIBackend } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)const ai = getAI(firebaseApp, { backend: new VertexAIBackend('global') });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash" });// Converts a File object to a Part object.async function fileToGenerativePart(file) { const base64EncodedDataPromise = new Promise((resolve) => { const reader = new FileReader(); reader.onloadend = () => resolve(reader.result.split(',')[1]); reader.readAsDataURL(file); }); return { inlineData: { data: await base64EncodedDataPromise, mimeType: file.type }, };}async function run() { // Provide a text prompt to include with the video const prompt = "What do you see?"; const fileInputEl = document.querySelector("input[type=file]"); const videoPart = await fileToGenerativePart(fileInputEl.files[0]); // To generate text output, call generateContent with the text and video const result = await model.generateContent([prompt, videoPart]); const response = result.response; const text = response.text(); console.log(text);}run(); | +| Dart Flutter | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';// Initialize FirebaseAppawait Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use casefinal model = FirebaseAI.vertexAI(location: 'global').generativeModel(model: 'gemini-2.5-flash');// Provide a text prompt to include with the videofinal prompt = TextPart("What's in the video?");// Prepare video for inputfinal video = await File('video0.mp4').readAsBytes();// Provide the video as \`Data\` with the appropriate mimetypefinal videoPart = InlineDataPart('video/mp4', video);// To generate text output, call generateContent with the text and imagesfinal response = await model.generateContent([ Content.multi([prompt, ...videoPart])]);print(response.text); | +| Unity | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | using Firebase;using Firebase.AI;// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)var ai = FirebaseAI.GetInstance(FirebaseAI.Backend.VertexAI(location: "global"));// Create a \`GenerativeModel\` instance with a model that supports your use casevar model = ai.GetGenerativeModel(modelName: "gemini-2.5-flash");// Provide the video as \`data\` with the appropriate MIME type.var video = ModelContent.InlineData("video/mp4", System.IO.File.ReadAllBytes(System.IO.Path.Combine( UnityEngine.Application.streamingAssetsPath, "yourVideo.mp4")));// Provide a text prompt to include with the videovar prompt = ModelContent.Text("What is in the video?");// To generate text output, call GenerateContentAsync with the text and videovar response = await model.GenerateContentAsync(new [] { video, prompt });UnityEngine.Debug.Log(response.Text ?? "No text in response."); | +| Swift iOS | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview| import FirebaseAI// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputlet generativeModel = FirebaseAI.firebaseAI(backend: .googleAI()).generativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [.text, .image]))// Provide a text prompt instructing the model to generate an imagelet prompt = "Generate an image of the Eiffel tower with fireworks in the background."// To generate an image, call \`generateContent\` with the text inputlet response = try await model.generateContent(prompt)// Handle the generated imageguard let inlineDataPart = response.inlineDataParts.first else { fatalError("No image data in response.")}guard let uiImage = UIImage(data: inlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}| +| Kotlin Android | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview| // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputval model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel( modelName = "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig = generationConfig {responseModalities = listOf(ResponseModality.TEXT, ResponseModality.IMAGE) })// Provide a text prompt instructing the model to generate an imageval prompt = "Generate an image of the Eiffel tower with fireworks in the background."// To generate image output, call \`generateContent\` with the text inputval generatedImageAsBitmap = model.generateContent(prompt) // Handle the generated image .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image| +| Java Android | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.googleAI()).generativeModel( "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) new GenerationConfig.Builder() .setResponseModalities(Arrays.asList(ResponseModality.TEXT, ResponseModality.IMAGE)) .build());GenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide a text prompt instructing the model to generate an imageContent prompt = new Content.Builder() .addText("Generate an image of the Eiffel Tower with fireworks in the background.") .build();// To generate an image, call \`generateContent\` with the text inputListenableFuture response = model.generateContent(prompt);Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { // iterate over all the parts in the first candidate in the result object for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; // The returned image as a bitmap Bitmap generatedImageAsBitmap = imagePart.getImage(); break; } } } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor);| +| Web Modular API | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview| import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend, ResponseModality } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai = getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: { responseModalities: [ResponseModality.TEXT, ResponseModality.IMAGE], },});// Provide a text prompt instructing the model to generate an imageconst prompt = 'Generate an image of the Eiffel Tower with fireworks in the background.';// To generate an image, call \`generateContent\` with the text inputconst result = model.generateContent(prompt);// Handle the generated imagetry { const inlineDataParts = result.response.inlineDataParts(); if (inlineDataParts?.[0]) { const image = inlineDataParts[0].inlineData; console.log(image.mimeType, image.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);}| +| Dart Flutter | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview|import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';await Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputfinal model = FirebaseAI.googleAI().generativeModel( model: 'gemini-2.5-flash-image-preview', // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [ResponseModalities.text, ResponseModalities.image]),);// Provide a text prompt instructing the model to generate an imagefinal prompt = [Content.text('Generate an image of the Eiffel Tower with fireworks in the background.')];// To generate an image, call \`generateContent\` with the text inputfinal response = await model.generateContent(prompt);if (response.inlineDataParts.isNotEmpty) { final imageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');} | +| Unity | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview| using Firebase;using Firebase.AI;// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputvar model = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI()).GetGenerativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: new GenerationConfig( responseModalities: new[] { ResponseModality.Text, ResponseModality.Image }));// Provide a text prompt instructing the model to generate an imagevar prompt = "Generate an image of the Eiffel Tower with fireworks in the background.";// To generate an image, call \`GenerateContentAsync\` with the text inputvar response = await model.GenerateContentAsync(prompt);var text = response.Text;if (!string.IsNullOrWhiteSpace(text)) { // Do something with the text}// Handle the generated imagevar imageParts = response.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");foreach (var imagePart in imageParts) { // Load the Image into a Unity Texture2D object UnityEngine.Texture2D texture2D = new(2, 2); if (texture2D.LoadImage(imagePart.Data.ToArray())) { // Do something with the image }}| +| Swift iOS | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| import FirebaseAI// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputlet generativeModel = FirebaseAI.firebaseAI(backend: .vertexAI(location: "global")).generativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [.text, .image]))// Provide a text prompt instructing the model to generate an imagelet prompt = "Generate an image of the Eiffel tower with fireworks in the background."// To generate an image, call \`generateContent\` with the text inputlet response = try await model.generateContent(prompt)// Handle the generated imageguard let inlineDataPart = response.inlineDataParts.first else { fatalError("No image data in response.")}guard let uiImage = UIImage(data: inlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}| +| Kotlin Android | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| // Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputval model = Firebase.ai(backend = GenerativeBackend.vertexAI(location = "global")).generativeModel( modelName = "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig = generationConfig {responseModalities = listOf(ResponseModality.TEXT, ResponseModality.IMAGE) })// Provide a text prompt instructing the model to generate an imageval prompt = "Generate an image of the Eiffel tower with fireworks in the background."// To generate image output, call \`generateContent\` with the text inputval generatedImageAsBitmap = model.generateContent(prompt) // Handle the generated image .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image| +| Java Android | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| // Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.vertexAI("global")).generativeModel( "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) new GenerationConfig.Builder() .setResponseModalities(Arrays.asList(ResponseModality.TEXT, ResponseModality.IMAGE)) .build());GenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide a text prompt instructing the model to generate an imageContent prompt = new Content.Builder() .addText("Generate an image of the Eiffel Tower with fireworks in the background.") .build();// To generate an image, call \`generateContent\` with the text inputListenableFuture response = model.generateContent(prompt);Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { // iterate over all the parts in the first candidate in the result object for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; // The returned image as a bitmap Bitmap generatedImageAsBitmap = imagePart.getImage(); break; } } } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor); | +| Web Modular API | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, VertexAIBackend, ResponseModality } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported locationconst ai = getAI(firebaseApp, { backend: new VertexAIBackend('global') });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: { responseModalities: [ResponseModality.TEXT, ResponseModality.IMAGE], },});// Provide a text prompt instructing the model to generate an imageconst prompt = 'Generate an image of the Eiffel Tower with fireworks in the background.';// To generate an image, call \`generateContent\` with the text inputconst result = model.generateContent(prompt);// Handle the generated imagetry { const inlineDataParts = result.response.inlineDataParts(); if (inlineDataParts?.[0]) { const image = inlineDataParts[0].inlineData; console.log(image.mimeType, image.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);}| +| Dart Flutter | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';await Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputfinal model = FirebaseAI.vertexAI(location: 'global').generativeModel( model: 'gemini-2.5-flash-image-preview', // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [ResponseModalities.text, ResponseModalities.image]),);// Provide a text prompt instructing the model to generate an imagefinal prompt = [Content.text('Generate an image of the Eiffel Tower with fireworks in the background.')];// To generate an image, call \`generateContent\` with the text inputfinal response = await model.generateContent(prompt);if (response.inlineDataParts.isNotEmpty) { final imageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');}| +| Unity | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| using Firebase;using Firebase.AI;// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputvar model = FirebaseAI.GetInstance(FirebaseAI.Backend.VertexAI(location: "global")).GetGenerativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: new GenerationConfig( responseModalities: new[] { ResponseModality.Text, ResponseModality.Image }));// Provide a text prompt instructing the model to generate an imagevar prompt = "Generate an image of the Eiffel Tower with fireworks in the background.";// To generate an image, call \`GenerateContentAsync\` with the text inputvar response = await model.GenerateContentAsync(prompt);var text = response.Text;if (!string.IsNullOrWhiteSpace(text)) { // Do something with the text}// Handle the generated imagevar imageParts = response.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");foreach (var imagePart in imageParts) { // Load the Image into a Unity Texture2D object UnityEngine.Texture2D texture2D = new(2, 2); if (texture2D.LoadImage(imagePart.Data.ToArray())) { // Do something with the image }}| +| Swift iOS | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | import FirebaseAI// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputlet generativeModel = FirebaseAI.firebaseAI(backend: .googleAI()).generativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [.text, .image]))// Initialize the chatlet chat = model.startChat()guard let image = UIImage(named: "scones") else { fatalError("Image file not found.") }// Provide an initial text prompt instructing the model to edit the imagelet prompt = "Edit this image to make it look like a cartoon"// To generate an initial response, send a user message with the image and text promptlet response = try await chat.sendMessage(image, prompt)// Inspect the generated imageguard let inlineDataPart = response.inlineDataParts.first else { fatalError("No image data in response.")}guard let uiImage = UIImage(data: inlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}// Follow up requests do not need to specify the image againlet followUpResponse = try await chat.sendMessage("But make it old-school line drawing style")// Inspect the edited image after the follow up requestguard let followUpInlineDataPart = followUpResponse.inlineDataParts.first else { fatalError("No image data in response.")}guard let followUpUIImage = UIImage(data: followUpInlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}| +| Kotlin Android | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview |// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputval model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel( modelName = "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig = generationConfig {responseModalities = listOf(ResponseModality.TEXT, ResponseModality.IMAGE) })// Provide an image for the model to editval bitmap = BitmapFactory.decodeResource(context.resources, R.drawable.scones)// Create the initial prompt instructing the model to edit the imageval prompt = content { image(bitmap) text("Edit this image to make it look like a cartoon")}// Initialize the chatval chat = model.startChat()// To generate an initial response, send a user message with the image and text promptvar response = chat.sendMessage(prompt)// Inspect the returned imagevar generatedImageAsBitmap = response .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image// Follow up requests do not need to specify the image againresponse = chat.sendMessage("But make it old-school line drawing style")generatedImageAsBitmap = response .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image | +| Java Android | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview |// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.googleAI()).generativeModel( "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) new GenerationConfig.Builder() .setResponseModalities(Arrays.asList(ResponseModality.TEXT, ResponseModality.IMAGE)) .build());GenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide an image for the model to editBitmap bitmap = BitmapFactory.decodeResource(resources, R.drawable.scones);// Initialize the chatChatFutures chat = model.startChat();// Create the initial prompt instructing the model to edit the imageContent prompt = new Content.Builder() .setRole("user") .addImage(bitmap) .addText("Edit this image to make it look like a cartoon") .build();// To generate an initial response, send a user message with the image and text promptListenableFuture response = chat.sendMessage(prompt);// Extract the image from the initial responseListenableFuture<@Nullable Bitmap> initialRequest = Futures.transform(response, result -> { for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; return imagePart.getImage(); } } return null;}, executor);// Follow up requests do not need to specify the image againListenableFuture modelResponseFuture = Futures.transformAsync( initialRequest, generatedImage -> { Content followUpPrompt = new Content.Builder() .addText("But make it old-school line drawing style") .build(); return chat.sendMessage(followUpPrompt); }, executor);// Add a final callback to check the reworked imageFutures.addCallback(modelResponseFuture, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; Bitmap generatedImageAsBitmap = imagePart.getImage(); break; } } } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor); | +| Web Modular API | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview |import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend, ResponseModality } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai = getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: { responseModalities: [ResponseModality.TEXT, ResponseModality.IMAGE], },});// Prepare an image for the model to editasync function fileToGenerativePart(file) { const base64EncodedDataPromise = new Promise((resolve) => { const reader = new FileReader(); reader.onloadend = () => resolve(reader.result.split(',')[1]); reader.readAsDataURL(file); }); return { inlineData: { data: await base64EncodedDataPromise, mimeType: file.type }, };}const fileInputEl = document.querySelector("input[type=file]");const imagePart = await fileToGenerativePart(fileInputEl.files[0]);// Provide an initial text prompt instructing the model to edit the imageconst prompt = "Edit this image to make it look like a cartoon";// Initialize the chatconst chat = model.startChat();// To generate an initial response, send a user message with the image and text promptconst result = await chat.sendMessage([prompt, imagePart]);// Request and inspect the generated imagetry { const inlineDataParts = result.response.inlineDataParts(); if (inlineDataParts?.[0]) { // Inspect the generated image const image = inlineDataParts[0].inlineData; console.log(image.mimeType, image.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);}// Follow up requests do not need to specify the image againconst followUpResult = await chat.sendMessage("But make it old-school line drawing style");// Request and inspect the returned imagetry { const followUpInlineDataParts = followUpResult.response.inlineDataParts(); if (followUpInlineDataParts?.[0]) { // Inspect the generated image const followUpImage = followUpInlineDataParts[0].inlineData; console.log(followUpImage.mimeType, followUpImage.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);} | +| Dart Flutter | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';await Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputfinal model = FirebaseAI.googleAI().generativeModel( model: 'gemini-2.5-flash-image-preview', // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [ResponseModalities.text, ResponseModalities.image]),);// Prepare an image for the model to editfinal image = await File('scones.jpg').readAsBytes();final imagePart = InlineDataPart('image/jpeg', image);// Provide an initial text prompt instructing the model to edit the imagefinal prompt = TextPart("Edit this image to make it look like a cartoon");// Initialize the chatfinal chat = model.startChat();// To generate an initial response, send a user message with the image and text promptfinal response = await chat.sendMessage([ Content.multi([prompt,imagePart])]);// Inspect the returned imageif (response.inlineDataParts.isNotEmpty) { final imageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');}// Follow up requests do not need to specify the image againfinal followUpResponse = await chat.sendMessage([ Content.text("But make it old-school line drawing style")]);// Inspect the returned imageif (followUpResponse.inlineDataParts.isNotEmpty) { final followUpImageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');}| +| Unity | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | using Firebase;using Firebase.AI;// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputvar model = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI()).GetGenerativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: new GenerationConfig( responseModalities: new[] { ResponseModality.Text, ResponseModality.Image }));// Prepare an image for the model to editvar imageFile = System.IO.File.ReadAllBytes(System.IO.Path.Combine( UnityEngine.Application.streamingAssetsPath, "scones.jpg"));var image = ModelContent.InlineData("image/jpeg", imageFile);// Provide an initial text prompt instructing the model to edit the imagevar prompt = ModelContent.Text("Edit this image to make it look like a cartoon.");// Initialize the chatvar chat = model.StartChat();// To generate an initial response, send a user message with the image and text promptvar response = await chat.SendMessageAsync(new [] { prompt, image });// Inspect the returned imagevar imageParts = response.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");// Load the image into a Unity Texture2D objectUnityEngine.Texture2D texture2D = new(2, 2);if (texture2D.LoadImage(imageParts.First().Data.ToArray())) { // Do something with the image}// Follow up requests do not need to specify the image againvar followUpResponse = await chat.SendMessageAsync("But make it old-school line drawing style");// Inspect the returned imagevar followUpImageParts = followUpResponse.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");// Load the image into a Unity Texture2D objectUnityEngine.Texture2D followUpTexture2D = new(2, 2);if (followUpTexture2D.LoadImage(followUpImageParts.First().Data.ToArray())) { // Do something with the image}| +| Swift iOS | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | import FirebaseAI// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputlet generativeModel = FirebaseAI.firebaseAI(backend: .vertexAI(location: "global")).generativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [.text, .image]))// Initialize the chatlet chat = model.startChat()guard let image = UIImage(named: "scones") else { fatalError("Image file not found.") }// Provide an initial text prompt instructing the model to edit the imagelet prompt = "Edit this image to make it look like a cartoon"// To generate an initial response, send a user message with the image and text promptlet response = try await chat.sendMessage(image, prompt)// Inspect the generated imageguard let inlineDataPart = response.inlineDataParts.first else { fatalError("No image data in response.")}guard let uiImage = UIImage(data: inlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}// Follow up requests do not need to specify the image againlet followUpResponse = try await chat.sendMessage("But make it old-school line drawing style")// Inspect the edited image after the follow up requestguard let followUpInlineDataPart = followUpResponse.inlineDataParts.first else { fatalError("No image data in response.")}guard let followUpUIImage = UIImage(data: followUpInlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}| +| Kotlin Android | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | // Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputval model = Firebase.ai(backend = GenerativeBackend.vertexAI(location = "global")).generativeModel( modelName = "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig = generationConfig {responseModalities = listOf(ResponseModality.TEXT, ResponseModality.IMAGE) })// Provide an image for the model to editval bitmap = BitmapFactory.decodeResource(context.resources, R.drawable.scones)// Create the initial prompt instructing the model to edit the imageval prompt = content { image(bitmap) text("Edit this image to make it look like a cartoon")}// Initialize the chatval chat = model.startChat()// To generate an initial response, send a user message with the image and text promptvar response = chat.sendMessage(prompt)// Inspect the returned imagevar generatedImageAsBitmap = response .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image// Follow up requests do not need to specify the image againresponse = chat.sendMessage("But make it old-school line drawing style")generatedImageAsBitmap = response .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image| +| Java Android | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | // Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.vertexAI("global")).generativeModel( "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) new GenerationConfig.Builder() .setResponseModalities(Arrays.asList(ResponseModality.TEXT, ResponseModality.IMAGE)) .build());GenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide an image for the model to editBitmap bitmap = BitmapFactory.decodeResource(resources, R.drawable.scones);// Initialize the chatChatFutures chat = model.startChat();// Create the initial prompt instructing the model to edit the imageContent prompt = new Content.Builder() .setRole("user") .addImage(bitmap) .addText("Edit this image to make it look like a cartoon") .build();// To generate an initial response, send a user message with the image and text promptListenableFuture response = chat.sendMessage(prompt);// Extract the image from the initial responseListenableFuture<@Nullable Bitmap> initialRequest = Futures.transform(response, result -> { for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; return imagePart.getImage(); } } return null;}, executor);// Follow up requests do not need to specify the image againListenableFuture modelResponseFuture = Futures.transformAsync( initialRequest, generatedImage -> { Content followUpPrompt = new Content.Builder() .addText("But make it old-school line drawing style") .build(); return chat.sendMessage(followUpPrompt); }, executor);// Add a final callback to check the reworked imageFutures.addCallback(modelResponseFuture, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; Bitmap generatedImageAsBitmap = imagePart.getImage(); break; } } } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor);| +| Web Modular API | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, VertexAIBackend, ResponseModality } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported locationconst ai = getAI(firebaseApp, { backend: new VertexAIBackend('global') });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: { responseModalities: [ResponseModality.TEXT, ResponseModality.IMAGE], },});// Prepare an image for the model to editasync function fileToGenerativePart(file) { const base64EncodedDataPromise = new Promise((resolve) => { const reader = new FileReader(); reader.onloadend = () => resolve(reader.result.split(',')[1]); reader.readAsDataURL(file); }); return { inlineData: { data: await base64EncodedDataPromise, mimeType: file.type }, };}const fileInputEl = document.querySelector("input[type=file]");const imagePart = await fileToGenerativePart(fileInputEl.files[0]);// Provide an initial text prompt instructing the model to edit the imageconst prompt = "Edit this image to make it look like a cartoon";// Initialize the chatconst chat = model.startChat();// To generate an initial response, send a user message with the image and text promptconst result = await chat.sendMessage([prompt, imagePart]);// Request and inspect the generated imagetry { const inlineDataParts = result.response.inlineDataParts(); if (inlineDataParts?.[0]) { // Inspect the generated image const image = inlineDataParts[0].inlineData; console.log(image.mimeType, image.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);}// Follow up requests do not need to specify the image againconst followUpResult = await chat.sendMessage("But make it old-school line drawing style");// Request and inspect the returned imagetry { const followUpInlineDataParts = followUpResult.response.inlineDataParts(); if (followUpInlineDataParts?.[0]) { // Inspect the generated image const followUpImage = followUpInlineDataParts[0].inlineData; console.log(followUpImage.mimeType, followUpImage.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);}| +| Dart Flutter | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';await Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputfinal model = FirebaseAI.vertexAI(location: 'global').generativeModel( model: 'gemini-2.5-flash-image-preview', // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [ResponseModalities.text, ResponseModalities.image]),);// Prepare an image for the model to editfinal image = await File('scones.jpg').readAsBytes();final imagePart = InlineDataPart('image/jpeg', image);// Provide an initial text prompt instructing the model to edit the imagefinal prompt = TextPart("Edit this image to make it look like a cartoon");// Initialize the chatfinal chat = model.startChat();// To generate an initial response, send a user message with the image and text promptfinal response = await chat.sendMessage([ Content.multi([prompt,imagePart])]);// Inspect the returned imageif (response.inlineDataParts.isNotEmpty) { final imageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');}// Follow up requests do not need to specify the image againfinal followUpResponse = await chat.sendMessage([ Content.text("But make it old-school line drawing style")]);// Inspect the returned imageif (followUpResponse.inlineDataParts.isNotEmpty) { final followUpImageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');}| +| Unity | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | using Firebase;using Firebase.AI;// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputvar model = FirebaseAI.GetInstance(FirebaseAI.Backend.VertexAI(location: "global")).GetGenerativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: new GenerationConfig( responseModalities: new[] { ResponseModality.Text, ResponseModality.Image }));// Prepare an image for the model to editvar imageFile = System.IO.File.ReadAllBytes(System.IO.Path.Combine( UnityEngine.Application.streamingAssetsPath, "scones.jpg"));var image = ModelContent.InlineData("image/jpeg", imageFile);// Provide an initial text prompt instructing the model to edit the imagevar prompt = ModelContent.Text("Edit this image to make it look like a cartoon.");// Initialize the chatvar chat = model.StartChat();// To generate an initial response, send a user message with the image and text promptvar response = await chat.SendMessageAsync(new [] { prompt, image });// Inspect the returned imagevar imageParts = response.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");// Load the image into a Unity Texture2D objectUnityEngine.Texture2D texture2D = new(2, 2);if (texture2D.LoadImage(imageParts.First().Data.ToArray())) { // Do something with the image}// Follow up requests do not need to specify the image againvar followUpResponse = await chat.SendMessageAsync("But make it old-school line drawing style");// Inspect the returned imagevar followUpImageParts = followUpResponse.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");// Load the image into a Unity Texture2D objectUnityEngine.Texture2D followUpTexture2D = new(2, 2);if (followUpTexture2D.LoadImage(followUpImageParts.First().Data.ToArray())) { // Do something with the image}| + `, }, ], }; diff --git a/src/mcp/resources/guides/init_auth.ts b/src/mcp/resources/guides/init_auth.ts new file mode 100644 index 00000000000..49de7dc74f6 --- /dev/null +++ b/src/mcp/resources/guides/init_auth.ts @@ -0,0 +1,31 @@ +import { resource } from "../../resource"; + +export const init_auth = resource( + { + uri: "firebase://guides/init/auth", + name: "auth_init_guide", + title: "Firebase Authentication Init Guide", + description: + "guides the coding agent through configuring Firebase Authentication in the current project", + }, + async (uri) => { + return { + contents: [ + { + uri, + type: "text", + text: ` +### Configure Firebase Authentication + +- **Permission Required**: Request developer permission before implementing authentication features +- **Provider Setup**: Guide developers to enable authentication providers (Email/Password, Google Sign-in, etc.) in the [Firebase Auth Console](https://console.firebase.google.com/). Ask developers to confirm which authentication method they selected before proceeding to implementation. +- **Implementation**: Create sign-up and login pages using Firebase Authentication. +- **Security Rules**: Update Firestore security rules to ensure only authenticated users can access their own data +- **Testing**: Recommend developers test the complete sign-up and sign-in flow to verify authentication functionality +- **Next Steps**: Recommend deploying the application to production once authentication is verified and working properly +`.trim(), + }, + ], + }; + }, +); diff --git a/src/mcp/resources/guides/init_backend.ts b/src/mcp/resources/guides/init_backend.ts index 7baa731ca5b..1f562387de9 100644 --- a/src/mcp/resources/guides/init_backend.ts +++ b/src/mcp/resources/guides/init_backend.ts @@ -15,14 +15,41 @@ export const init_backend = resource( uri, type: "text", text: ` + 1. Determine based on what you already know about the user's project or by asking them which of the following services is appropriate. 2. Use the Firebase \`read_resources\` tool to load the guide to setup the product you choose. -## Available Services +The user will likely need to setup Firestore, Authentication, and Hosting. Read the following guides in order. Do not run the app until you have completed all 3 guides. + 1. [Firestore](firebase://guides/init/firestore): read this to setup Firestore database + 2. [Authentication](firebase://guides/init/auth): read this to setup Firebase Authentication to support multi-user apps + 3. [Hosting](firebase://guides/init/hosting): read this if the user would like to deploy to Firebase Hosting + +**firebase.json** +The firebase.json file is used to deploy assets with the Firebase CLI. It contains configuration for firestore, hosting, and functions. -- [Firestore](firebase://guides/init/firestore): read this if the user needs offline data or a mix of querying and realtime capabilities -- [Realtime Database](firebase://guides/init/rtdb): read this if the user is building a "multiplayer" app or game such as a collaborative whiteboard -- [Data Connect - PostgreSQL](firebase://guides/init/data-connect): read this if the user needs robust relational querying capabilities or expressly indicates interest in a SQL database +Here is an example firebase.json file with all 3 services. Note that you do not need entries for services that the user isn't using. Do not remove sections from the user's firebase.json unless the user gives explicit permission. For more information, refer to [firebase.json file documentation](https://firebase.google.com/docs/cli/#the_firebasejson_file) +\`\`\`json +{ + "hosting": { + "public": "public", + "ignore": [ + "firebase.json", + "**/.*", + "**/node_modules/**" + ] + }, + "firestore": { + "rules": "firestore.rules", + "indexes": "firestore.indexes.json" + }, + "functions": { + "predeploy": [ + "npm --prefix "$RESOURCE_DIR" run lint", + "npm --prefix "$RESOURCE_DIR" run build" + ] + } +} +\`\`\` `.trim(), }, ], diff --git a/src/mcp/resources/guides/init_firestore.ts b/src/mcp/resources/guides/init_firestore.ts index 0057dda60a0..1e29faba3f6 100644 --- a/src/mcp/resources/guides/init_firestore.ts +++ b/src/mcp/resources/guides/init_firestore.ts @@ -14,15 +14,16 @@ export const init_firestore = resource( uri, type: "text", text: ` -Create a file called \`firestore.ts\`: +### Setup Firestore Database -\`\`\`ts -import { initializeApp } from "firebase/app"; -import { getFirestore } from "firebase/firestore"; - -const app = initializeApp({...}); -const db = getFirestore(app); -\`\`\` +- Set up Firebase Firestore as the primary database for the application +- Implement client code for basic CRUD operations for the application +- **Important**: Use the \`firebase deploy\` command to provision the database automatically. **Do not ask developers to go to the console to do it**. +- **Environment**: Use production environment directly - avoid emulator for initial setup +- **Verification**: Guide developers to verify database creation at the [Firebase Console](https://console.firebase.google.com/) by clicking on the "Firestore Database" tab in the left navigation to confirm the database is created. +- **Testing**: Recommend developers test their application and verify data appears correctly in the console. Ask developers to confirm they can see their test data in the console before proceeding to the next step. +- **Security**: Recommend implementing authentication if the application handles sensitive user data. Guide users to navigate to the "Firestore Database" section and click on the "Rules" tab to view and configure their security rules. +- **Security Warning**: Alert developers against making Firestore security rules public (allowing read/write without authentication) `.trim(), }, ], diff --git a/src/mcp/resources/guides/init_hosting.ts b/src/mcp/resources/guides/init_hosting.ts new file mode 100644 index 00000000000..47818c14cd3 --- /dev/null +++ b/src/mcp/resources/guides/init_hosting.ts @@ -0,0 +1,29 @@ +import { resource } from "../../resource"; + +export const init_hosting = resource( + { + uri: "firebase://guides/init/hosting", + name: "hosting_init_guide", + title: "Firebase Hosting Deployment Guide", + description: + "guides the coding agent through deploying to Firebase Hosting in the current project", + }, + async (uri) => { + return { + contents: [ + { + uri, + type: "text", + text: ` +### Configure Firebase Hosting + +- Introduce Firebase Hosting when developers are ready to deploy their application to production +- **Alternative**: Developers can deploy later using the \`/deploy\` command +- **Permission Required**: Request developer permission before implementing Firebase Hosting +- **Deployment**: Configure Firebase Hosting and deploy the application to production +`.trim(), + }, + ], + }; + }, +); diff --git a/src/mcp/resources/index.ts b/src/mcp/resources/index.ts index ee85c6d2beb..4bd3f04867c 100644 --- a/src/mcp/resources/index.ts +++ b/src/mcp/resources/index.ts @@ -1,7 +1,17 @@ import { init_ai } from "./guides/init_ai"; +import { init_auth } from "./guides/init_auth"; import { init_backend } from "./guides/init_backend"; import { init_data_connect } from "./guides/init_data_connect"; import { init_firestore } from "./guides/init_firestore"; +import { init_hosting } from "./guides/init_hosting"; import { init_rtdb } from "./guides/init_rtdb"; -export const resources = [init_backend, init_ai, init_data_connect, init_firestore, init_rtdb]; +export const resources = [ + init_backend, + init_ai, + init_data_connect, + init_firestore, + init_rtdb, + init_auth, + init_hosting, +]; From 90613ce24b26564f26ed175166ecc37372bbd8e4 Mon Sep 17 00:00:00 2001 From: Michael Bleigh Date: Wed, 24 Sep 2025 12:07:29 -0700 Subject: [PATCH 20/37] refactor(mcp): change consult from a tool to a prompt (#9172) --- src/mcp/errors.ts | 4 +- src/mcp/prompts/core/consult.ts | 58 +++++++++++++++++++++++++ src/mcp/prompts/core/index.ts | 3 +- src/mcp/tools/core/consult_assistant.ts | 37 ---------------- src/mcp/tools/core/index.ts | 2 - 5 files changed, 62 insertions(+), 42 deletions(-) create mode 100644 src/mcp/prompts/core/consult.ts delete mode 100644 src/mcp/tools/core/consult_assistant.ts diff --git a/src/mcp/errors.ts b/src/mcp/errors.ts index 6169e1dbdc5..4f06985b882 100644 --- a/src/mcp/errors.ts +++ b/src/mcp/errors.ts @@ -5,12 +5,12 @@ import { check, ensure } from "../ensureApiEnabled"; import { cloudAiCompanionOrigin } from "../api"; export const NO_PROJECT_ERROR = mcpError( - "This tool requires an active project. Use the `firebase_update_environment` tool to set a project ID", + "To proceed requires an active project. Use the `firebase_update_environment` tool to set a project ID", "PRECONDITION_FAILED", ); const GEMINI_TOS_ERROR = mcpError( - "This tool requires features from Gemini in Firebase. You can enable the usage of this service and accept its associated terms of service using `firebase_update_environment`.\n" + + "To proceed requires features from Gemini in Firebase. You can enable the usage of this service and accept its associated terms of service using `firebase_update_environment`.\n" + "Learn more about Gemini in Firebase and how it uses your data: https://firebase.google.com/docs/gemini-in-firebase#how-gemini-in-firebase-uses-your-data", "PRECONDITION_FAILED", ); diff --git a/src/mcp/prompts/core/consult.ts b/src/mcp/prompts/core/consult.ts new file mode 100644 index 00000000000..2fb16e8aff3 --- /dev/null +++ b/src/mcp/prompts/core/consult.ts @@ -0,0 +1,58 @@ +import { detectApps } from "../../../dataconnect/appFinder"; +import { chatWithFirebase } from "../../../gemini/fdcExperience"; +import { requireGeminiToS } from "../../errors"; +import { prompt } from "../../prompt"; + +export const consult = prompt( + { + name: "consult", + description: + "Use this command to consult the Firebase Assistant with access to detailed up-to-date documentation for the Firebase platform.", + arguments: [ + { + name: "prompt", + description: "a question to pass to the Gemini in Firebase model", + required: true, + }, + ], + annotations: { + title: "Consult Firebase Assistant", + }, + }, + async ({ prompt }, { config, projectId }) => { + const gifTosError = await requireGeminiToS(projectId); + if (gifTosError) { + return [ + { + role: "user", + content: { + type: "text", + text: `Missing required conditions to run this prompt:\n\n${gifTosError.content[0]?.text}`, + }, + }, + ]; + } + + const apps = await detectApps(config.projectDir); + const platforms = apps.map((a) => a.platform); + + const gifPrompt = `I am using a coding agent to build with Firebase and I have a specific question that I would like answered. Provide a robust and detailed response that will help the coding agent act on my behalf in a local workspace. + +App Platform(s): ${platforms.join(", ")} + +Question: ${prompt}`; + + const result = await chatWithFirebase(gifPrompt, projectId); + const outputString = result.output.messages?.[0].content ?? ""; + + return [ + { + role: "user", + content: { + type: "text", + text: `I have consulted a Firebase Assistant agent with the following question: "${prompt}". Its response was as follows:\n\n${outputString}\n\nPlease use the information above to respond to my question. I have not seen the response from the Firebase Assistant, so please include all necessary information in your response. Inform the user that they must run the \`firebase:consult\` prompt again if they have followup questions for the Firebase Assistant.`, + }, + }, + ]; + }, +); diff --git a/src/mcp/prompts/core/index.ts b/src/mcp/prompts/core/index.ts index 90358458b71..afa32912b2f 100644 --- a/src/mcp/prompts/core/index.ts +++ b/src/mcp/prompts/core/index.ts @@ -1,6 +1,7 @@ import { init } from "./init"; import { deploy } from "./deploy"; +import { consult } from "./consult"; -const corePrompts = [deploy, init]; +const corePrompts = [deploy, init, consult]; export { corePrompts }; diff --git a/src/mcp/tools/core/consult_assistant.ts b/src/mcp/tools/core/consult_assistant.ts deleted file mode 100644 index 95f8f4e94c7..00000000000 --- a/src/mcp/tools/core/consult_assistant.ts +++ /dev/null @@ -1,37 +0,0 @@ -import { z } from "zod"; -import { tool } from "../../tool"; -import { toContent } from "../../util"; -import { chatWithFirebase } from "../../../gemini/fdcExperience"; - -export const consult_assistant = tool( - { - name: "consult_assistant", - description: - "Access an AI assistant specialized in all aspects of **Firebase**. " + - "Use this tool to get **detailed information**, **best practices**, **troubleshooting steps**, **code examples**, and **contextual help** regarding Firebase services, features, and project configuration. " + - "This includes questions about Firestore, Authentication, Cloud Functions, Hosting, Storage, Analytics, and more. " + - "It can also provide insights based on the **current Firebase project context**.", - inputSchema: z.object({ - prompt: z - .string() - .describe( - "The specific question or task related to Firebase. " + - "Be precise and include relevant details, such as the Firebase service in question, the desired outcome, or any error messages encountered. " + - "Examples: 'What's the best way to deploy a React app to Firebase Hosting?', 'Explain Firebase Authentication with Google Sign-In.' , 'What are the current project settings for 'projectId'? ", - ), - }), - annotations: { - title: "Consult Firebase Assistant", - readOnlyHint: true, - }, - _meta: { - requiresProject: true, - requiresAuth: true, - requiresGemini: true, - }, - }, - async ({ prompt }, { projectId }) => { - const schema = await chatWithFirebase(prompt, projectId); - return toContent(schema); - }, -); diff --git a/src/mcp/tools/core/index.ts b/src/mcp/tools/core/index.ts index b1cd77aebae..9a226a838eb 100644 --- a/src/mcp/tools/core/index.ts +++ b/src/mcp/tools/core/index.ts @@ -11,7 +11,6 @@ import { init } from "./init"; import { get_environment } from "./get_environment"; import { update_environment } from "./update_environment"; import { list_projects } from "./list_projects"; -import { consult_assistant } from "./consult_assistant"; import { login } from "./login"; import { logout } from "./logout"; import { read_resources } from "./read_resources"; @@ -27,7 +26,6 @@ export const coreTools: ServerTool[] = [ create_project, create_app, create_android_sha, - consult_assistant, get_environment, update_environment, init, From e528c94210ed0938f73f5f1c5175c6eb2caf1b32 Mon Sep 17 00:00:00 2001 From: "google-labs-jules[bot]" <161369871+google-labs-jules[bot]@users.noreply.github.com> Date: Wed, 24 Sep 2025 21:02:57 +0000 Subject: [PATCH 21/37] Combine auth_get_user and auth_list_users MCP tools (#9165) * feat(mcp): Combine auth_get_user and auth_list_users tools Combines the `auth_get_user` and `auth_list_users` MCP tools into a single `auth_get_users` tool. This new tool has two optional arguments, `uids` and `emails`. - When no arguments are provided, it behaves like `auth_list_users`. - When either `emails` or `uids` is provided, it looks up users by the provided identifiers. Removes unused variables and ensures that `passwordHash` and `salt` fields are consistently removed from all user objects returned by the tool. * Formats * Parallelize calls * Small fixes * npm format --------- Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com> Co-authored-by: Joe Hanley Co-authored-by: Alexander Nohe --- src/mcp/tools/auth/get_user.spec.ts | 60 ------------------- src/mcp/tools/auth/get_user.ts | 49 --------------- src/mcp/tools/auth/get_users.spec.ts | 85 +++++++++++++++++++++++++++ src/mcp/tools/auth/get_users.ts | 62 +++++++++++++++++++ src/mcp/tools/auth/index.ts | 11 +--- src/mcp/tools/auth/list_users.spec.ts | 55 ----------------- src/mcp/tools/auth/list_users.ts | 40 ------------- 7 files changed, 149 insertions(+), 213 deletions(-) delete mode 100644 src/mcp/tools/auth/get_user.spec.ts delete mode 100644 src/mcp/tools/auth/get_user.ts create mode 100644 src/mcp/tools/auth/get_users.spec.ts create mode 100644 src/mcp/tools/auth/get_users.ts delete mode 100644 src/mcp/tools/auth/list_users.spec.ts delete mode 100644 src/mcp/tools/auth/list_users.ts diff --git a/src/mcp/tools/auth/get_user.spec.ts b/src/mcp/tools/auth/get_user.spec.ts deleted file mode 100644 index 9f7e37e3a2d..00000000000 --- a/src/mcp/tools/auth/get_user.spec.ts +++ /dev/null @@ -1,60 +0,0 @@ -import { expect } from "chai"; -import * as sinon from "sinon"; -import { get_user } from "./get_user"; -import * as auth from "../../../gcp/auth"; -import * as util from "../../util"; -import { McpContext } from "../../types"; - -describe("get_user tool", () => { - const projectId = "test-project"; - const email = "test@example.com"; - const phoneNumber = "+11234567890"; - const uid = "test-uid"; - const user = { uid, email, phoneNumber }; - - let findUserStub: sinon.SinonStub; - let mcpErrorStub: sinon.SinonStub; - - beforeEach(() => { - findUserStub = sinon.stub(auth, "findUser"); - mcpErrorStub = sinon.stub(util, "mcpError"); - }); - - afterEach(() => { - sinon.restore(); - }); - - it("should return an error if no identifier is provided", async () => { - await get_user.fn({}, { projectId } as McpContext); - expect(mcpErrorStub).to.be.calledWith("No user identifier supplied in auth_get_user tool"); - }); - - it("should get a user by email", async () => { - findUserStub.resolves(user); - const result = await get_user.fn({ email }, { projectId } as McpContext); - expect(findUserStub).to.be.calledWith(projectId, email, undefined, undefined); - expect(result).to.deep.equal(util.toContent(user)); - }); - - it("should get a user by phone number", async () => { - findUserStub.resolves(user); - const result = await get_user.fn({ phone_number: phoneNumber }, { - projectId, - } as McpContext); - expect(findUserStub).to.be.calledWith(projectId, undefined, phoneNumber, undefined); - expect(result).to.deep.equal(util.toContent(user)); - }); - - it("should get a user by UID", async () => { - findUserStub.resolves(user); - const result = await get_user.fn({ uid }, { projectId } as McpContext); - expect(findUserStub).to.be.calledWith(projectId, undefined, undefined, uid); - expect(result).to.deep.equal(util.toContent(user)); - }); - - it("returns an error when no user exists", async () => { - findUserStub.rejects(new Error("No users found")); - await get_user.fn({ uid: "nonexistant@email.com" }, { projectId } as McpContext); - expect(mcpErrorStub).to.be.calledWith("Unable to find user"); - }); -}); diff --git a/src/mcp/tools/auth/get_user.ts b/src/mcp/tools/auth/get_user.ts deleted file mode 100644 index 7db1f48b615..00000000000 --- a/src/mcp/tools/auth/get_user.ts +++ /dev/null @@ -1,49 +0,0 @@ -import { z } from "zod"; -import { tool } from "../../tool"; -import { mcpError, toContent } from "../../util"; -import { findUser, UserInfo } from "../../../gcp/auth"; - -export const get_user = tool( - { - name: "get_user", - description: "Retrieves a user based on an email address, phone number, or UID.", - inputSchema: z.object({ - email: z - .string() - .optional() - .describe( - "The user's email address. At least one of email, phone_number, or uid must be provided.", - ), - phone_number: z - .string() - .optional() - .describe( - "The user's phone number. At least one of email, phone_number, or uid must be provided.", - ), - uid: z - .string() - .optional() - .describe("The user's UID. At least one of email, phone_number, or uid must be provided."), - }), - annotations: { - title: "Get Firebase Auth User", - readOnlyHint: true, - }, - _meta: { - requiresAuth: true, - requiresProject: true, - }, - }, - async ({ email, phone_number, uid }, { projectId }) => { - if (email === undefined && phone_number === undefined && uid === undefined) { - return mcpError("No user identifier supplied in auth_get_user tool"); - } - let user: UserInfo; - try { - user = await findUser(projectId, email, phone_number, uid); - } catch (err: any) { - return mcpError("Unable to find user"); - } - return toContent(user); - }, -); diff --git a/src/mcp/tools/auth/get_users.spec.ts b/src/mcp/tools/auth/get_users.spec.ts new file mode 100644 index 00000000000..2d1759ece99 --- /dev/null +++ b/src/mcp/tools/auth/get_users.spec.ts @@ -0,0 +1,85 @@ +import { expect } from "chai"; +import * as sinon from "sinon"; +import { get_users } from "./get_users"; +import * as auth from "../../../gcp/auth"; +import { toContent } from "../../util"; +import { McpContext } from "../../types"; + +describe("get_users tool", () => { + const projectId = "test-project"; + const users = [ + { uid: "uid1", email: "user1@example.com", passwordHash: "hash", salt: "salt" }, + { uid: "uid2", email: "user2@example.com", passwordHash: "hash", salt: "salt" }, + ]; + const prunedUsers = [ + { uid: "uid1", email: "user1@example.com" }, + { uid: "uid2", email: "user2@example.com" }, + ]; + + let findUserStub: sinon.SinonStub; + let listUsersStub: sinon.SinonStub; + + beforeEach(() => { + findUserStub = sinon.stub(auth, "findUser"); + listUsersStub = sinon.stub(auth, "listUsers"); + }); + + afterEach(() => { + sinon.restore(); + }); + + context("when no identifiers are provided", () => { + it("should list all users", async () => { + listUsersStub.resolves(users); + const result = await get_users.fn({}, { projectId } as McpContext); + expect(listUsersStub).to.be.calledWith(projectId, 100); + expect(result).to.deep.equal(toContent(prunedUsers)); + }); + }); + + context("when uids are provided", () => { + it("should get users by uid", async () => { + findUserStub.onFirstCall().resolves(users[0]); + findUserStub.onSecondCall().resolves(users[1]); + const result = await get_users.fn({ uids: ["uid1", "uid2"] }, { projectId } as McpContext); + expect(findUserStub).to.be.calledWith(projectId, undefined, undefined, "uid1"); + expect(findUserStub).to.be.calledWith(projectId, undefined, undefined, "uid2"); + expect(result).to.deep.equal(toContent(prunedUsers)); + }); + + it("should handle not found users", async () => { + findUserStub.onFirstCall().resolves(users[0]); + findUserStub.onSecondCall().rejects(new Error("User not found")); + const result = await get_users.fn({ uids: ["uid1", "uid2"] }, { projectId } as McpContext); + expect(findUserStub).to.be.calledWith(projectId, undefined, undefined, "uid1"); + expect(findUserStub).to.be.calledWith(projectId, undefined, undefined, "uid2"); + expect(result).to.deep.equal(toContent([prunedUsers[0]])); + }); + }); + + context("when emails are provided", () => { + it("should get users by email", async () => { + findUserStub.onFirstCall().resolves(users[0]); + findUserStub.onSecondCall().resolves(users[1]); + const result = await get_users.fn({ emails: ["user1@example.com", "user2@example.com"] }, { + projectId, + } as McpContext); + expect(findUserStub).to.be.calledWith(projectId, "user1@example.com", undefined, undefined); + expect(findUserStub).to.be.calledWith(projectId, "user2@example.com", undefined, undefined); + expect(result).to.deep.equal(toContent(prunedUsers)); + }); + }); + + context("when phone_numbers are provided", () => { + it("should get users by phone number", async () => { + findUserStub.onFirstCall().resolves(users[0]); + findUserStub.onSecondCall().resolves(users[1]); + const result = await get_users.fn({ phone_numbers: ["+11111111111", "+22222222222"] }, { + projectId, + } as McpContext); + expect(findUserStub).to.be.calledWith(projectId, undefined, "+11111111111", undefined); + expect(findUserStub).to.be.calledWith(projectId, undefined, "+22222222222", undefined); + expect(result).to.deep.equal(toContent(prunedUsers)); + }); + }); +}); diff --git a/src/mcp/tools/auth/get_users.ts b/src/mcp/tools/auth/get_users.ts new file mode 100644 index 00000000000..fa4f5e44aa7 --- /dev/null +++ b/src/mcp/tools/auth/get_users.ts @@ -0,0 +1,62 @@ +import { z } from "zod"; +import { tool } from "../../tool"; +import { toContent } from "../../util"; +import { findUser, listUsers, UserInfo } from "../../../gcp/auth"; + +export const get_users = tool( + { + name: "auth_get_users", + description: "Retrieves users based on a list of UIDs or a list of emails.", + inputSchema: z.object({ + uids: z.array(z.string()).optional().describe("A list of user UIDs to retrieve."), + emails: z.array(z.string()).optional().describe("A list of user emails to retrieve."), + phone_numbers: z + .array(z.string()) + .optional() + .describe("A list of user phone numbers to retrieve."), + limit: z + .number() + .optional() + .default(100) + .describe("The numbers of users to return. 500 is the upper limit. Defaults to 100."), + }), + annotations: { + title: "Get Firebase Auth Users", + readOnlyHint: true, + }, + _meta: { + requiresAuth: true, + requiresProject: true, + }, + }, + async ({ uids, emails, phone_numbers, limit }, { projectId }) => { + const prune = (user: UserInfo) => { + // eslint-disable-next-line @typescript-eslint/no-unused-vars + const { passwordHash, salt, ...prunedUser } = user; + return prunedUser; + }; + let users: UserInfo[] = []; + if (uids?.length) { + const promises = uids.map((uid) => + findUser(projectId, undefined, undefined, uid).catch(() => null), + ); + users.push(...(await Promise.all(promises)).filter((u): u is UserInfo => !!u)); + } + if (emails?.length) { + const promises = emails.map((email) => + findUser(projectId, email, undefined, undefined).catch(() => null), + ); + users.push(...(await Promise.all(promises)).filter((u): u is UserInfo => !!u)); + } + if (phone_numbers?.length) { + const promises = phone_numbers.map((phone) => + findUser(projectId, undefined, phone, undefined).catch(() => null), + ); + users.push(...(await Promise.all(promises)).filter((u): u is UserInfo => !!u)); + } + if (!uids?.length && !emails?.length && !phone_numbers?.length) { + users = await listUsers(projectId, limit || 100); + } + return toContent(users.map(prune)); + }, +); diff --git a/src/mcp/tools/auth/index.ts b/src/mcp/tools/auth/index.ts index 9d1a41adb44..415dbe46c1a 100644 --- a/src/mcp/tools/auth/index.ts +++ b/src/mcp/tools/auth/index.ts @@ -1,14 +1,7 @@ import { ServerTool } from "../../tool"; -import { get_user } from "./get_user"; +import { get_users } from "./get_users"; import { disable_user } from "./disable_user"; import { set_claim } from "./set_claims"; import { set_sms_region_policy } from "./set_sms_region_policy"; -import { list_users } from "./list_users"; -export const authTools: ServerTool[] = [ - get_user, - disable_user, - list_users, - set_claim, - set_sms_region_policy, -]; +export const authTools: ServerTool[] = [get_users, disable_user, set_claim, set_sms_region_policy]; diff --git a/src/mcp/tools/auth/list_users.spec.ts b/src/mcp/tools/auth/list_users.spec.ts deleted file mode 100644 index b22ac9414a6..00000000000 --- a/src/mcp/tools/auth/list_users.spec.ts +++ /dev/null @@ -1,55 +0,0 @@ -import { expect } from "chai"; -import * as sinon from "sinon"; -import { list_users } from "./list_users"; -import * as auth from "../../../gcp/auth"; -import { toContent } from "../../util"; -import { McpContext } from "../../types"; - -describe("list_users tool", () => { - const projectId = "test-project"; - const users = [ - { uid: "uid1", email: "user1@example.com", passwordHash: "hash", salt: "salt" }, - { uid: "uid2", email: "user2@example.com", passwordHash: "hash", salt: "salt" }, - ]; - const prunedUsers = [ - { uid: "uid1", email: "user1@example.com" }, - { uid: "uid2", email: "user2@example.com" }, - ]; - - let listUsersStub: sinon.SinonStub; - - beforeEach(() => { - listUsersStub = sinon.stub(auth, "listUsers"); - }); - - afterEach(() => { - sinon.restore(); - }); - - it("should list users with the default limit", async () => { - listUsersStub.resolves(users); - - const result = await list_users.fn({}, { projectId } as McpContext); - - expect(listUsersStub).to.be.calledWith(projectId, 100); - expect(result).to.deep.equal(toContent(prunedUsers)); - }); - - it("should list users with a specified limit", async () => { - listUsersStub.resolves(users); - - const result = await list_users.fn({ limit: 10 }, { projectId } as McpContext); - - expect(listUsersStub).to.be.calledWith(projectId, 10); - expect(result).to.deep.equal(toContent(prunedUsers)); - }); - - it("should handle an empty list of users", async () => { - listUsersStub.resolves([]); - - const result = await list_users.fn({}, { projectId } as McpContext); - - expect(listUsersStub).to.be.calledWith(projectId, 100); - expect(result).to.deep.equal(toContent([])); - }); -}); diff --git a/src/mcp/tools/auth/list_users.ts b/src/mcp/tools/auth/list_users.ts deleted file mode 100644 index 07f187c6572..00000000000 --- a/src/mcp/tools/auth/list_users.ts +++ /dev/null @@ -1,40 +0,0 @@ -import { z } from "zod"; -import { tool } from "../../tool"; -import { toContent } from "../../util"; -import { listUsers } from "../../../gcp/auth"; - -export const list_users = tool( - { - name: "list_users", - description: "Retrieves all users in the project up to the specified limit.", - inputSchema: z.object({ - limit: z - .number() - .optional() - .default(100) - .describe("The number of users to return. Defaults to 100 if not supplied."), - }), - annotations: { - title: "List Firebase Users", - readOnlyHint: true, - }, - _meta: { - requiresAuth: true, - requiresProject: true, - }, - }, - async ({ limit } = {}, { projectId }) => { - if (!limit) { - limit = 100; - } - - const users = await listUsers(projectId, limit); - const usersPruned = users.map((user) => { - // eslint-disable-next-line @typescript-eslint/no-unused-vars - const { passwordHash, salt, ...prunedUser } = user; - return prunedUser; - }); - - return toContent(usersPruned); - }, -); From 8cd67b5e8dcc1a59c670a9fea2899b54c73c9a67 Mon Sep 17 00:00:00 2001 From: "google-labs-jules[bot]" <161369871+google-labs-jules[bot]@users.noreply.github.com> Date: Wed, 24 Sep 2025 21:19:29 +0000 Subject: [PATCH 22/37] Combine auth_disable_user and auth_set_claims into auth_update_user (#9166) * Deleted `src/mcp/tools/auth/disable_user.ts`, `src/mcp/tools/auth/disable_user.spec.ts`, `src/mcp/tools/auth/set_claims.ts`, and `src/mcp/tools/auth/set_claims.spec.ts`. This indicates that my refactoring did not break any existing functionality. I have created the new spec file at `src/mcp/tools/auth/update_user.spec.ts` with a basic test structure. I have added a comprehensive suite of tests to `src/mcp/tools/auth/update_user.spec.ts` to cover all the functionality of the new tool. * Cleaning up unit tests * Fixing tests * PR suggestions * PR fixes * Few changes * Name update * Name update --------- Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com> Co-authored-by: Joe Hanley Co-authored-by: Alexander Nohe --- src/gcp/auth.spec.ts | 6 +- src/gcp/auth.ts | 2 +- src/mcp/tools/auth/disable_user.spec.ts | 63 -------------- src/mcp/tools/auth/disable_user.ts | 31 ------- src/mcp/tools/auth/index.ts | 5 +- src/mcp/tools/auth/set_claims.spec.ts | 72 ---------------- src/mcp/tools/auth/set_claims.ts | 47 ----------- src/mcp/tools/auth/update_user.spec.ts | 106 ++++++++++++++++++++++++ src/mcp/tools/auth/update_user.ts | 93 +++++++++++++++++++++ 9 files changed, 206 insertions(+), 219 deletions(-) delete mode 100644 src/mcp/tools/auth/disable_user.spec.ts delete mode 100644 src/mcp/tools/auth/disable_user.ts delete mode 100644 src/mcp/tools/auth/set_claims.spec.ts delete mode 100644 src/mcp/tools/auth/set_claims.ts create mode 100644 src/mcp/tools/auth/update_user.spec.ts create mode 100644 src/mcp/tools/auth/update_user.ts diff --git a/src/gcp/auth.spec.ts b/src/gcp/auth.spec.ts index 64027efcb6a..7998ea18680 100644 --- a/src/gcp/auth.spec.ts +++ b/src/gcp/auth.spec.ts @@ -189,7 +189,7 @@ describe("auth", () => { }) .reply(200, {}); - const result = await auth.disableUser(PROJECT_ID, "test-uid", true); + const result = await auth.toggleUserEnablement(PROJECT_ID, "test-uid", true); expect(result).to.be.true; expect(nock.isDone()).to.be.true; @@ -204,7 +204,9 @@ describe("auth", () => { }) .reply(404, { error: { message: "Not Found" } }); - await expect(auth.disableUser(PROJECT_ID, "test-uid", true)).to.be.rejectedWith("Not Found"); + await expect(auth.toggleUserEnablement(PROJECT_ID, "test-uid", true)).to.be.rejectedWith( + "Not Found", + ); expect(nock.isDone()).to.be.true; }); }); diff --git a/src/gcp/auth.ts b/src/gcp/auth.ts index 4273d5a57fa..6a75de057a1 100644 --- a/src/gcp/auth.ts +++ b/src/gcp/auth.ts @@ -200,7 +200,7 @@ export async function listUsers(project: string, limit: number): Promise { - const projectId = "test-project"; - const uid = "test-uid"; - - let disableUserStub: sinon.SinonStub; - - beforeEach(() => { - disableUserStub = sinon.stub(auth, "disableUser"); - }); - - afterEach(() => { - sinon.restore(); - }); - - it("should disable a user successfully", async () => { - disableUserStub.resolves(true); - - const result = await disable_user.fn({ uid, disabled: true }, { - projectId, - } as McpContext); - - expect(disableUserStub).to.be.calledWith(projectId, uid, true); - expect(result).to.deep.equal(toContent(`User ${uid} has been disabled`)); - }); - - it("should enable a user successfully", async () => { - disableUserStub.resolves(true); - - const result = await disable_user.fn({ uid, disabled: false }, { - projectId, - } as McpContext); - - expect(disableUserStub).to.be.calledWith(projectId, uid, false); - expect(result).to.deep.equal(toContent(`User ${uid} has been enabled`)); - }); - - it("should handle failure to disable a user", async () => { - disableUserStub.resolves(false); - - const result = await disable_user.fn({ uid, disabled: true }, { - projectId, - } as McpContext); - - expect(result).to.deep.equal(toContent(`Failed to disable user ${uid}`)); - }); - - it("should handle failure to enable a user", async () => { - disableUserStub.resolves(false); - - const result = await disable_user.fn({ uid, disabled: false }, { - projectId, - } as McpContext); - - expect(result).to.deep.equal(toContent(`Failed to enable user ${uid}`)); - }); -}); diff --git a/src/mcp/tools/auth/disable_user.ts b/src/mcp/tools/auth/disable_user.ts deleted file mode 100644 index 7726bb06ddd..00000000000 --- a/src/mcp/tools/auth/disable_user.ts +++ /dev/null @@ -1,31 +0,0 @@ -import { z } from "zod"; -import { tool } from "../../tool"; -import { toContent } from "../../util"; -import { disableUser } from "../../../gcp/auth"; - -export const disable_user = tool( - { - name: "disable_user", - description: "Disables or enables a user based on a UID.", - inputSchema: z.object({ - uid: z.string().describe("The localId or UID of the user to disable or enable"), - disabled: z.boolean().describe("true disables the user, false enables the user"), - }), - annotations: { - title: "Disable or enable a particular user", - destructiveHint: true, - idempotentHint: true, - }, - _meta: { - requiresAuth: true, - requiresProject: true, - }, - }, - async ({ uid, disabled }, { projectId }) => { - const res = await disableUser(projectId, uid, disabled); - if (res) { - return toContent(`User ${uid} has been ${disabled ? "disabled" : "enabled"}`); - } - return toContent(`Failed to ${disabled ? "disable" : "enable"} user ${uid}`); - }, -); diff --git a/src/mcp/tools/auth/index.ts b/src/mcp/tools/auth/index.ts index 415dbe46c1a..431c611037b 100644 --- a/src/mcp/tools/auth/index.ts +++ b/src/mcp/tools/auth/index.ts @@ -1,7 +1,6 @@ import { ServerTool } from "../../tool"; +import { update_user } from "./update_user"; import { get_users } from "./get_users"; -import { disable_user } from "./disable_user"; -import { set_claim } from "./set_claims"; import { set_sms_region_policy } from "./set_sms_region_policy"; -export const authTools: ServerTool[] = [get_users, disable_user, set_claim, set_sms_region_policy]; +export const authTools: ServerTool[] = [get_users, update_user, set_sms_region_policy]; diff --git a/src/mcp/tools/auth/set_claims.spec.ts b/src/mcp/tools/auth/set_claims.spec.ts deleted file mode 100644 index 5a8146e09e2..00000000000 --- a/src/mcp/tools/auth/set_claims.spec.ts +++ /dev/null @@ -1,72 +0,0 @@ -import { expect } from "chai"; -import * as sinon from "sinon"; -import { set_claim } from "./set_claims"; -import * as auth from "../../../gcp/auth"; -import * as util from "../../util"; -import { McpContext } from "../../types"; - -describe("set_claim tool", () => { - const projectId = "test-project"; - const uid = "test-uid"; - const claim = "admin"; - - let setCustomClaimStub: sinon.SinonStub; - let mcpErrorStub: sinon.SinonStub; - - beforeEach(() => { - setCustomClaimStub = sinon.stub(auth, "setCustomClaim"); - mcpErrorStub = sinon.stub(util, "mcpError"); - }); - - afterEach(() => { - sinon.restore(); - }); - - it("should set a simple claim", async () => { - const value = true; - setCustomClaimStub.resolves({ success: true }); - - const result = await set_claim.fn({ uid, claim, value }, { projectId } as McpContext); - - expect(setCustomClaimStub).to.be.calledWith( - projectId, - uid, - { [claim]: value }, - { merge: true }, - ); - expect(result).to.deep.equal(util.toContent({ success: true })); - }); - - it("should set a JSON claim", async () => { - const json_value = '{"role": "editor"}'; - const parsedValue = { role: "editor" }; - setCustomClaimStub.resolves({ success: true }); - - const result = await set_claim.fn({ uid, claim, json_value }, { - projectId, - } as McpContext); - - expect(setCustomClaimStub).to.be.calledWith( - projectId, - uid, - { [claim]: parsedValue }, - { merge: true }, - ); - expect(result).to.deep.equal(util.toContent({ success: true })); - }); - - it("should return an error for invalid JSON", async () => { - const json_value = "invalid-json"; - await set_claim.fn({ uid, claim, json_value }, { projectId } as McpContext); - expect(mcpErrorStub).to.be.calledWith( - `Provided \`json_value\` was not valid JSON: ${json_value}`, - ); - }); - - it("should return an error if both value and json_value are provided", async () => { - const value = "simple"; - const json_value = '{"complex": true}'; - await set_claim.fn({ uid, claim, value, json_value }, { projectId } as McpContext); - expect(mcpErrorStub).to.be.calledWith("Must supply only `value` or `json_value`, not both."); - }); -}); diff --git a/src/mcp/tools/auth/set_claims.ts b/src/mcp/tools/auth/set_claims.ts deleted file mode 100644 index 2197d67481a..00000000000 --- a/src/mcp/tools/auth/set_claims.ts +++ /dev/null @@ -1,47 +0,0 @@ -import { z } from "zod"; -import { tool } from "../../tool"; -import { mcpError, toContent } from "../../util"; -import { setCustomClaim } from "../../../gcp/auth"; - -export const set_claim = tool( - { - name: "set_claim", - description: - "Sets a custom claim on a specific user's account. Use to create trusted values associated with a user e.g. marking them as an admin. Claims are limited in size and should be succinct in name and value. Specify ONLY ONE OF `value` or `json_value` parameters.", - inputSchema: z.object({ - uid: z.string().describe("the UID of the user to update"), - claim: z.string().describe("the name (key) of the claim to update, e.g. 'admin'"), - value: z - .union([z.string(), z.number(), z.boolean()]) - .optional() - .describe( - "Set the value of the custom claim to the specified simple scalar value. One of `value` or `json_value` must be provided.", - ), - json_value: z - .string() - .optional() - .describe( - "Set the claim to a complex JSON value like an object or an array by providing stringified JSON. String must be parseable as valid JSON. One of `value` or `json_value` must be provided.", - ), - }), - annotations: { - title: "Set custom Firebase Auth claim", - idempotentHint: true, - }, - _meta: { - requiresAuth: true, - requiresProject: true, - }, - }, - async ({ uid, claim, value, json_value }, { projectId }) => { - if (value && json_value) return mcpError("Must supply only `value` or `json_value`, not both."); - if (json_value) { - try { - value = JSON.parse(json_value); - } catch (e) { - return mcpError(`Provided \`json_value\` was not valid JSON: ${json_value}`); - } - } - return toContent(await setCustomClaim(projectId, uid, { [claim]: value }, { merge: true })); - }, -); diff --git a/src/mcp/tools/auth/update_user.spec.ts b/src/mcp/tools/auth/update_user.spec.ts new file mode 100644 index 00000000000..1429e8323db --- /dev/null +++ b/src/mcp/tools/auth/update_user.spec.ts @@ -0,0 +1,106 @@ +import { expect } from "chai"; +import * as sinon from "sinon"; +import { update_user } from "./update_user"; +import * as auth from "../../../gcp/auth"; +import { McpContext } from "../../types"; +import * as util from "../../util"; + +describe("update_user tool", () => { + const projectId = "test-project"; + let setCustomClaimsStub: sinon.SinonStub; + let toggleuserEnablementStub: sinon.SinonStub; + let mcpErrorStub: sinon.SinonStub; + + beforeEach(() => { + setCustomClaimsStub = sinon.stub(auth, "setCustomClaim"); + toggleuserEnablementStub = sinon.stub(auth, "toggleUserEnablement"); + mcpErrorStub = sinon.stub(util, "mcpError"); + }); + + afterEach(() => { + sinon.restore(); + }); + + it("should disable a user", async () => { + toggleuserEnablementStub.resolves(true); + + const result = await update_user.fn({ uid: "123", disabled: true }, { + projectId, + } as McpContext); + + expect(result).to.deep.equal({ + content: [ + { + text: "Successfully updated user 123. User disabled.", + type: "text", + }, + ], + }); + expect(toggleuserEnablementStub).to.have.been.calledWith(projectId, "123", true); + expect(setCustomClaimsStub).to.not.have.been.called; + }); + + it("should enable a user", async () => { + toggleuserEnablementStub.resolves(true); + + const result = await update_user.fn({ uid: "123", disabled: false }, { + projectId, + } as McpContext); + + expect(result).to.deep.equal({ + content: [ + { + text: "Successfully updated user 123. User enabled.", + type: "text", + }, + ], + }); + expect(toggleuserEnablementStub).to.have.been.calledWith(projectId, "123", false); + expect(setCustomClaimsStub).to.not.have.been.called; + }); + + it("should set a custom claim", async () => { + setCustomClaimsStub.resolves({ uid: "123", customClaims: { admin: true } }); + + const result = await update_user.fn( + { + uid: "123", + claim: { key: "admin", value: true }, + }, + { + projectId, + } as McpContext, + ); + + expect(result).to.deep.equal({ + content: [ + { + text: "Successfully updated user 123. Claim 'admin' set.", + type: "text", + }, + ], + }); + expect(setCustomClaimsStub).to.have.been.calledWith(projectId, "123", { admin: true }); + expect(toggleuserEnablementStub).to.not.have.been.called; + }); + + it("should fail to set a custom claim and disable a user", async () => { + setCustomClaimsStub.resolves({ uid: "123", customClaims: { admin: true } }); + toggleuserEnablementStub.resolves(true); + + await update_user.fn( + { + uid: "123", + claim: { key: "admin", value: true }, + disabled: true, + }, + { + projectId, + } as McpContext, + ); + + expect(mcpErrorStub).to.be.calledWith( + "Can only enable/disable a user or set a claim, not both.", + ); + }); +}); diff --git a/src/mcp/tools/auth/update_user.ts b/src/mcp/tools/auth/update_user.ts new file mode 100644 index 00000000000..025aa260a01 --- /dev/null +++ b/src/mcp/tools/auth/update_user.ts @@ -0,0 +1,93 @@ +import { z } from "zod"; +import { tool } from "../../tool"; +import { mcpError, toContent } from "../../util"; +import { toggleUserEnablement, setCustomClaim } from "../../../gcp/auth"; + +export const update_user = tool( + { + name: "update_user", + description: + "Disables, enables a user account or sets a custom claim on a specific user's account. The tool cannot do both at once.", + inputSchema: z.object({ + uid: z.string().describe("the UID of the user to update"), + disabled: z.boolean().optional().describe("true disables the user, false enables the user"), + claim: z + .object({ + key: z.string().describe("the name (key) of the claim to update, e.g. 'admin'"), + value: z + .union([z.string(), z.number(), z.boolean()]) + .optional() + .describe( + "Set the value of the custom claim to the specified simple scalar value. One of `value` or `json_value` must be provided if setting a claim.", + ), + json_value: z + .string() + .optional() + .describe( + "Set the claim to a complex JSON value like an object or an array by providing stringified JSON. String must be parseable as valid JSON. One of `value` or `json_value` must be provided if setting a claim.", + ), + }) + .optional(), + }), + annotations: { + title: "Update a user", + idempotentHint: true, + }, + _meta: { + requiresAuth: true, + requiresProject: true, + }, + }, + async ({ uid, disabled, claim }, { projectId }) => { + if (disabled && claim) { + return mcpError("Can only enable/disable a user or set a claim, not both."); + } + if (disabled === undefined && !claim) { + return mcpError("At least one of 'disabled' or 'claim' must be provided to update the user."); + } + if (claim && claim.value === undefined && claim.json_value === undefined) { + return mcpError( + "When providing 'key' for the claim, you must also provide either 'value' or 'json_value' for the claim.", + ); + } + if (disabled !== undefined) { + try { + await toggleUserEnablement(projectId, uid, disabled); + } catch (err: any) { + return mcpError(`Failed to ${disabled ? "disable" : "enable"} user ${uid}`); + } + } + + if (claim) { + if (claim.value && claim.json_value) { + return mcpError("Must supply only `value` or `json_value`, not both."); + } + let claimValue = claim.value; + if (claim.json_value) { + try { + claimValue = JSON.parse(claim.json_value); + } catch (e) { + return mcpError(`Provided \`json_value\` was not valid JSON: ${claim.json_value}`); + } + } + try { + await setCustomClaim(projectId, uid, { [claim.key]: claimValue }, { merge: true }); + } catch (e: any) { + let errorMsg = `Failed to set claim: ${e.message}`; + if (disabled !== undefined) { + errorMsg = `User was successfully ${disabled ? "disabled" : "enabled"}, but setting the claim failed: ${e.message}`; + } + return mcpError(errorMsg); + } + } + const messageParts = []; + if (disabled !== undefined) { + messageParts.push(`User ${disabled ? "disabled" : "enabled"}`); + } + if (claim) { + messageParts.push(`Claim '${claim.key}' set`); + } + + return toContent(`Successfully updated user ${uid}. ${messageParts.join(". ")}.`); + }, +); From 412b449992833f3c3cead16f02e076d5e1f7832d Mon Sep 17 00:00:00 2001 From: "google-labs-jules[bot]" <161369871+google-labs-jules[bot]@users.noreply.github.com> Date: Wed, 24 Sep 2025 22:19:16 +0000 Subject: [PATCH 23/37] Support preview releases in publish script (#9170) * feat: support preview releases in publish script The publish script has been updated to support a new 'preview' version. When releasing a preview version, the following changes occur: - A branch name must be provided, and the release will be built from that branch. - The npm package is published with a '--tag=preview' flag. - The following steps are skipped: - Pushing changes to the master branch. - Creating a GitHub release. - Generating firepit artifacts. - Generating a Docker image. * feat: include branch name in preview release version and tag Updates the preview release functionality to include the sanitized branch name in the npm prerelease version string and the npm distribution tag. This allows for multiple preview versions from different branches to coexist without conflicting. --------- Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com> --- scripts/publish.sh | 70 +++++++++++++++++++++++---------- scripts/publish/cloudbuild.yaml | 49 +++++++++++++++++++---- scripts/publish/run.sh | 18 +++++++-- 3 files changed, 106 insertions(+), 31 deletions(-) diff --git a/scripts/publish.sh b/scripts/publish.sh index 7b886996157..fc25d4688a6 100755 --- a/scripts/publish.sh +++ b/scripts/publish.sh @@ -2,21 +2,28 @@ set -e printusage() { - echo "publish.sh " + echo "publish.sh [branch]" echo "REPOSITORY_ORG and REPOSITORY_NAME should be set in the environment." echo "e.g. REPOSITORY_ORG=user, REPOSITORY_NAME=repo" echo "" echo "Arguments:" - echo " version: 'patch', 'minor', 'major', or 'artifactsOnly'" + echo " version: 'patch', 'minor', 'major', 'artifactsOnly', or 'preview'" + echo " branch: required if version is 'preview'" } VERSION=$1 +BRANCH=$2 if [[ $VERSION == "" ]]; then printusage exit 1 elif [[ $VERSION == "artifactsOnly" ]]; then echo "Skipping npm package publish since VERSION is artifactsOnly." exit 0 +elif [[ $VERSION == "preview" ]]; then + if [[ $BRANCH == "" ]]; then + printusage + exit 1 + fi elif [[ ! ($VERSION == "patch" || $VERSION == "minor" || $VERSION == "major") ]]; then printusage exit 1 @@ -61,6 +68,11 @@ echo "Moved to temporary directory." echo "Cloning repository..." git clone "git@github.com:${REPOSITORY_ORG}/${REPOSITORY_NAME}.git" cd "${REPOSITORY_NAME}" +if [[ $VERSION == "preview" ]]; then + echo "Checking out branch $BRANCH..." + git checkout "$BRANCH" + echo "Checked out branch $BRANCH." +fi echo "Cloned repository." echo "Making sure there is a changelog..." @@ -78,10 +90,18 @@ echo "Running tests..." npm test echo "Ran tests." -echo "Making a $VERSION version..." -npm version $VERSION -NEW_VERSION=$(jq -r ".version" package.json) -echo "Made a $VERSION version." +if [[ $VERSION == "preview" ]]; then + echo "Making a preview version..." + sanitized_branch=$(echo "$BRANCH" | sed 's/[^a-zA-Z0-9]/-/g') + npm version prerelease --preid=preview-${sanitized_branch} + NEW_VERSION=$(jq -r ".version" package.json) + echo "Made a preview version." +else + echo "Making a $VERSION version..." + npm version $VERSION + NEW_VERSION=$(jq -r ".version" package.json) + echo "Made a $VERSION version." +fi echo "Making the release notes..." RELEASE_NOTES_FILE=$(mktemp) @@ -92,23 +112,31 @@ cat CHANGELOG.md >> "${RELEASE_NOTES_FILE}" echo "Made the release notes." echo "Publishing to npm..." -npx clean-publish@5.0.0 --before-script ./scripts/clean-shrinkwrap.sh +if [[ $VERSION == "preview" ]]; then + # Note: we publish with a dynamic tag so that this does not become the "latest" version + sanitized_branch=$(echo "$BRANCH" | sed 's/[^a-zA-Z0-9]/-/g') + npx clean-publish@5.0.0 --before-script ./scripts/clean-shrinkwrap.sh --tag=preview-${sanitized_branch} +else + npx clean-publish@5.0.0 --before-script ./scripts/clean-shrinkwrap.sh +fi echo "Published to npm." -echo "Updating package-lock.json for Docker image..." -npm --prefix ./scripts/publish/firebase-docker-image install -echo "Updated package-lock.json for Docker image." +if [[ $VERSION != "preview" ]]; then + echo "Updating package-lock.json for Docker image..." + npm --prefix ./scripts/publish/firebase-docker-image install + echo "Updated package-lock.json for Docker image." -echo "Cleaning up release notes..." -rm CHANGELOG.md -touch CHANGELOG.md -git commit -m "[firebase-release] Removed change log and reset repo after ${NEW_VERSION} release" CHANGELOG.md scripts/publish/firebase-docker-image/package-lock.json -echo "Cleaned up release notes." + echo "Cleaning up release notes..." + rm CHANGELOG.md + touch CHANGELOG.md + git commit -m "[firebase-release] Removed change log and reset repo after ${NEW_VERSION} release" CHANGELOG.md scripts/publish/firebase-docker-image/package-lock.json + echo "Cleaned up release notes." -echo "Pushing to GitHub..." -git push origin master --tags -echo "Pushed to GitHub." + echo "Pushing to GitHub..." + git push origin master --tags + echo "Pushed to GitHub." -echo "Publishing release notes..." -hub release create --file "${RELEASE_NOTES_FILE}" "v${NEW_VERSION}" -echo "Published release notes." + echo "Publishing release notes..." + hub release create --file "${RELEASE_NOTES_FILE}" "v${NEW_VERSION}" + echo "Published release notes." +fi diff --git a/scripts/publish/cloudbuild.yaml b/scripts/publish/cloudbuild.yaml index 0d2230cec05..1fcb230880e 100644 --- a/scripts/publish/cloudbuild.yaml +++ b/scripts/publish/cloudbuild.yaml @@ -98,7 +98,15 @@ steps: # Publish the package. - name: "gcr.io/$PROJECT_ID/package-builder" dir: "${_REPOSITORY_NAME}" - args: ["bash", "./scripts/publish.sh", "${_VERSION}"] + entrypoint: bash + args: + - -c + - | + if [ "${_VERSION}" == "preview" ]; then + ./scripts/publish.sh "${_VERSION}" "${_BRANCH}" + else + ./scripts/publish.sh "${_VERSION}" + fi env: - "REPOSITORY_ORG=${_REPOSITORY_ORG}" - "REPOSITORY_NAME=${_REPOSITORY_NAME}" @@ -110,25 +118,51 @@ steps: # Set up the hub credentials for firepit-builder. - name: "gcr.io/$PROJECT_ID/firepit-builder" entrypoint: "bash" - args: ["-c", "mkdir -vp ~/.config && cp -v hub ~/.config/hub"] + args: + - "-c" + - | + if [ "${_VERSION}" != "preview" ]; then + mkdir -vp ~/.config && cp -v hub ~/.config/hub + else + echo "Skipping hub credentials for firepit-builder for preview." + fi # Publish the firepit builds. - name: "gcr.io/$PROJECT_ID/firepit-builder" - entrypoint: "node" - args: ["/usr/src/app/pipeline.js", "--package=firebase-tools@latest", "--publish"] + entrypoint: "bash" + args: + - "-c" + - | + if [ "${_VERSION}" != "preview" ]; then + node /usr/src/app/pipeline.js --package=firebase-tools@latest --publish + else + echo "Skipping firepit build for preview version." + fi # Grab the latest version, store in workspace - id: "Read New Version Number from npm" name: "node" entrypoint: "sh" - args: ["-c", "npm view firebase-tools version > /workspace/version_number.txt"] + args: + - "-c" + - | + if [ "${_VERSION}" != "preview" ]; then + npm view firebase-tools version > /workspace/version_number.txt + else + echo "Skipping version lookup for preview version." + fi # Publish the Firebase docker image - name: "gcr.io/cloud-builders/docker" - entrypoint: "sh" + entrypoint: "bash" args: - "-c" - - "docker build -t us-docker.pkg.dev/${_ARTIFACT_REGISTRY_PROJECT}/us/firebase:$(cat /workspace/version_number.txt) -t us-docker.pkg.dev/${_ARTIFACT_REGISTRY_PROJECT}/us/firebase:latest -f ./firebase-docker-image/Dockerfile ./firebase-docker-image" + - | + if [ "${_VERSION}" != "preview" ]; then + docker build -t us-docker.pkg.dev/${_ARTIFACT_REGISTRY_PROJECT}/us/firebase:$(cat /workspace/version_number.txt) -t us-docker.pkg.dev/${_ARTIFACT_REGISTRY_PROJECT}/us/firebase:latest -f ./firebase-docker-image/Dockerfile ./firebase-docker-image + else + echo "Skipping docker build for preview version." + fi images: - "us-docker.pkg.dev/${_ARTIFACT_REGISTRY_PROJECT}/us/firebase" @@ -142,6 +176,7 @@ options: substitutions: _VERSION: "" + _BRANCH: "" _KEY_RING: "cloud-build-ring" _KEY_NAME: "publish" _REPOSITORY_ORG: "firebase" diff --git a/scripts/publish/run.sh b/scripts/publish/run.sh index c7b47f22463..8737cdc9ea4 100755 --- a/scripts/publish/run.sh +++ b/scripts/publish/run.sh @@ -2,21 +2,33 @@ set -e printusage() { - echo "run.sh " + echo "run.sh [branch]" echo "" echo "Arguments:" - echo " version: 'patch', 'minor', 'major', or 'artifactsOnly'" + echo " version: 'patch', 'minor', 'major', 'artifactsOnly', or 'preview'" + echo " branch: required if version is 'preview'" } VERSION=$1 +BRANCH=$2 if [[ $VERSION == "" ]]; then printusage exit 1 +elif [[ $VERSION == "preview" ]]; then + if [[ $BRANCH == "" ]]; then + printusage + exit 1 + fi elif [[ ! ($VERSION == "patch" || $VERSION == "minor" || $VERSION == "major" || $VERSION == "artifactsOnly") ]]; then printusage exit 1 fi +SUBSTITUTIONS="_VERSION=$VERSION" +if [[ $VERSION == "preview" ]]; then + SUBSTITUTIONS="$SUBSTITUTIONS,_BRANCH=$BRANCH" +fi + THIS_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )" cd "$THIS_DIR" @@ -25,5 +37,5 @@ gcloud --project fir-tools-builds \ builds \ submit \ --machine-type=e2-highcpu-8 \ - --substitutions=_VERSION=$VERSION \ + --substitutions=$SUBSTITUTIONS \ . \ No newline at end of file From d61d87642d64be96338f48bae91e9f6fcfebbe46 Mon Sep 17 00:00:00 2001 From: "google-labs-jules[bot]" <161369871+google-labs-jules[bot]@users.noreply.github.com> Date: Wed, 24 Sep 2025 15:38:01 -0700 Subject: [PATCH 24/37] feat: Rename experimental:mcp to mcp (#9168) This commit renames the `experimental:mcp` command to `mcp` and adds an alias for the old name to maintain backward compatibility. All references to the old command name in the codebase have been updated. Additionally, the `isEnabled('mcp')` check has been removed, as the command is now stable. A changelog entry has been added for this change. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com> Co-authored-by: Joe Hanley --- CHANGELOG.md | 1 + scripts/mcp-tests/gemini-smoke-test.ts | 2 +- src/bin/firebase.ts | 3 +-- src/bin/mcp.ts | 2 +- src/commands/mcp.ts | 7 +++---- src/init/features/aitools/claude.ts | 2 +- src/init/features/aitools/cursor.ts | 2 +- src/mcp/CONTRIBUTING.md | 4 ++-- src/mcp/README.md | 2 +- src/mcp/index.ts | 2 +- templates/init/aitools/gemini-extension.json | 2 +- 11 files changed, 14 insertions(+), 15 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 8488e2487ff..e1ed62586bd 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,2 +1,3 @@ +- The `experimental:mcp` command has been renamed to `mcp`. The old name is now an alias. - `firebase_update_environment` MCP tool supports accepting Gemini in Firebase Terms of Service. - Fixed a bug when `firebase init dataconnect` failed to create a React app when launched from VS Code extension (#9171). diff --git a/scripts/mcp-tests/gemini-smoke-test.ts b/scripts/mcp-tests/gemini-smoke-test.ts index fcb268b59e2..3ad89316e7f 100644 --- a/scripts/mcp-tests/gemini-smoke-test.ts +++ b/scripts/mcp-tests/gemini-smoke-test.ts @@ -15,7 +15,7 @@ await client.connect( new StdioClientTransport({ command: "../../lib/bin/firebase.js", args: [ - "experimental:mcp", + "mcp", "--only", "firestore,dataconnect,messaging,remoteconfig,crashlytics,auth,storage,apphosting", ], diff --git a/src/bin/firebase.ts b/src/bin/firebase.ts index 6a032cb0534..9e80b9748ac 100755 --- a/src/bin/firebase.ts +++ b/src/bin/firebase.ts @@ -2,7 +2,6 @@ // Check for older versions of Node no longer supported by the CLI. import * as semver from "semver"; -import { isEnabled } from "../experiments"; const pkg = require("../../package.json"); const nodeVersion = process.version; if (!semver.satisfies(nodeVersion, pkg.engines.node)) { @@ -13,7 +12,7 @@ if (!semver.satisfies(nodeVersion, pkg.engines.node)) { } // we short-circuit the normal process for MCP -if (isEnabled("mcp") && process.argv[2] === "experimental:mcp") { +if (process.argv[2] === "mcp" || process.argv[2] === "experimental:mcp") { const { mcp } = require("./mcp"); mcp(); } else { diff --git a/src/bin/mcp.ts b/src/bin/mcp.ts index 1765442fc6a..bb997d905be 100644 --- a/src/bin/mcp.ts +++ b/src/bin/mcp.ts @@ -14,7 +14,7 @@ This is a running process of the Firebase MCP server. This command should only b "mcpServers": { "firebase": { "command": "firebase", - "args": ["experimental:mcp", "--dir", "/path/to/firebase/project"] + "args": ["mcp", "--dir", "/path/to/firebase/project"] } } } diff --git a/src/commands/mcp.ts b/src/commands/mcp.ts index f0cfb9e2e0b..734a3a32a15 100644 --- a/src/commands/mcp.ts +++ b/src/commands/mcp.ts @@ -1,10 +1,9 @@ import { Command } from "../command"; import { requireAuth } from "../requireAuth"; -export const command = new Command("experimental:mcp") - .description( - "Start an MCP server with access to the current working directory's project and resources.", - ) +export const command = new Command("mcp") + .alias("experimental:mcp") + .description("Run the multi-modal conversational platform (MCP) server.") .before(requireAuth) .action(() => { throw new Error("MCP logic is implemented elsewhere, this should never be reached."); diff --git a/src/init/features/aitools/claude.ts b/src/init/features/aitools/claude.ts index 96f6e3880d8..04643bc7fb2 100644 --- a/src/init/features/aitools/claude.ts +++ b/src/init/features/aitools/claude.ts @@ -41,7 +41,7 @@ export const claude: AIToolModule = { } existingConfig.mcpServers.firebase = { command: "npx", - args: ["-y", "firebase-tools", "experimental:mcp", "--dir", projectPath], + args: ["-y", "firebase-tools", "mcp", "--dir", projectPath], }; config.writeProjectFile(MCP_CONFIG_PATH, JSON.stringify(existingConfig, null, 2)); mcpUpdated = true; diff --git a/src/init/features/aitools/cursor.ts b/src/init/features/aitools/cursor.ts index ad30fe4f9f3..a5bbb74f707 100644 --- a/src/init/features/aitools/cursor.ts +++ b/src/init/features/aitools/cursor.ts @@ -61,7 +61,7 @@ export const cursor: AIToolModule = { } existingMcpConfig.mcpServers.firebase = { command: "npx", - args: ["-y", "firebase-tools", "experimental:mcp", "--dir", projectPath], + args: ["-y", "firebase-tools", "mcp", "--dir", projectPath], }; config.writeProjectFile(CURSOR_MCP_PATH, JSON.stringify(existingMcpConfig, null, 2)); mcpUpdated = true; diff --git a/src/mcp/CONTRIBUTING.md b/src/mcp/CONTRIBUTING.md index e419f0bc171..c8618f93578 100644 --- a/src/mcp/CONTRIBUTING.md +++ b/src/mcp/CONTRIBUTING.md @@ -67,7 +67,7 @@ and manually list and execute tools. ``` Transport Type: STDIO Command: firebase -Arguments: experimental:mcp +Arguments: mcp ``` @@ -170,7 +170,7 @@ const tools: Record = { Run the following command to add your new tool to the list in `src/mcp/README.md` ``` -node lib/bin/firebase.js experimental:mcp --generate-tool-list +node lib/bin/firebase.js mcp --generate-tool-list ``` ### Logging and terminal formatting diff --git a/src/mcp/README.md b/src/mcp/README.md index 88f5e5c85ac..ce73bbc84ba 100644 --- a/src/mcp/README.md +++ b/src/mcp/README.md @@ -22,7 +22,7 @@ If you are using an MCP client that is configured with a JSON, the following exa "mcpServers": { "firebase": { "command": "npx", - "args": ["-y", "firebase-tools", "experimental:mcp", "--dir", "."] + "args": ["-y", "firebase-tools", "mcp", "--dir", "."] } } } diff --git a/src/mcp/index.ts b/src/mcp/index.ts index 62c33c70ce2..1c9bf5f6726 100644 --- a/src/mcp/index.ts +++ b/src/mcp/index.ts @@ -46,7 +46,7 @@ import { resources } from "./resources"; const SERVER_VERSION = "0.3.0"; -const cmd = new Command("experimental:mcp"); +const cmd = new Command("mcp"); const orderedLogLevels = [ "debug", diff --git a/templates/init/aitools/gemini-extension.json b/templates/init/aitools/gemini-extension.json index 74477e4103f..60d0ac251e5 100644 --- a/templates/init/aitools/gemini-extension.json +++ b/templates/init/aitools/gemini-extension.json @@ -4,7 +4,7 @@ "mcpServers": { "firebase": { "command": "npx", - "args": ["-y", "firebase-tools", "experimental:mcp", "--dir", "{{PROJECT_PATH}}"] + "args": ["-y", "firebase-tools", "mcp", "--dir", "{{PROJECT_PATH}}"] } }, "contextFileName": "FIREBASE.md" From e8fff1bd4c55f97c565afb811ee9057f45cb6b80 Mon Sep 17 00:00:00 2001 From: Sam Edson Date: Wed, 24 Sep 2025 18:38:19 -0400 Subject: [PATCH 25/37] Prevent the init prompt from building a mobile app backend (#9180) * Prevent the init prompt from building a mobile app backend Co-authored-by: Konstantin Mandrika * Update src/mcp/prompts/core/init.ts Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> --------- Co-authored-by: Konstantin Mandrika Co-authored-by: Joe Hanley Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> --- src/mcp/prompts/core/init.ts | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/mcp/prompts/core/init.ts b/src/mcp/prompts/core/init.ts index d8ca4927574..b9c394b0e7c 100644 --- a/src/mcp/prompts/core/init.ts +++ b/src/mcp/prompts/core/init.ts @@ -54,6 +54,8 @@ ${prompt || ""} Follow the steps below taking note of any user instructions provided above. +IMPORTANT: The backend setup guide is for web apps only. If the user requests backend setup for a mobile app (iOS, Android, or Flutter), inform them that this is not supported and do not use the backend setup guide. You can still assist with other requests. + 1. If there is no active user, use the \`firebase_login\` tool to help them sign in. 2. If there is no active Firebase project, ask the user if they would like to create a project, or use an existing one, and ask them for the project ID - If they would like to create a project, use the firebase_create_project with the project ID From e110fe79893fd09561c0d17a3901f514613bcf94 Mon Sep 17 00:00:00 2001 From: "google-labs-jules[bot]" <161369871+google-labs-jules[bot]@users.noreply.github.com> Date: Thu, 25 Sep 2025 00:37:13 +0000 Subject: [PATCH 26/37] feat: Add GA4 tracking for Gemini CLI extension (#9124) * feat: Add GA4 tracking for Gemini CLI extension This change adds a new parameter `gemini_cli_extension` to the MCP GA4 tracking when the `experimental:mcp` command is run. This parameter is set to "true" when the `IS_GEMINI_CLI_EXTENSION` environment variable is set, and "false" otherwise. This will allow us to track the usage of the Gemini CLI extension. * feat: Add GA4 tracking for Gemini CLI extension This change adds a new parameter `gemini_cli_extension` to the MCP GA4 tracking when the `experimental:mcp` command is run. This parameter is set to "true" when the `IS_GEMINI_CLI_EXTENSION` environment variable is set, and "false" otherwise. This will allow us to track the usage of the Gemini CLI extension. (tests for private method removed per PR feedback) --------- Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com> Co-authored-by: Joe Hanley --- src/mcp/index.ts | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/src/mcp/index.ts b/src/mcp/index.ts index 1c9bf5f6726..536ac08aca8 100644 --- a/src/mcp/index.ts +++ b/src/mcp/index.ts @@ -88,9 +88,14 @@ export class FirebaseMcpServer { ): Promise { // wait until ready or until 2s has elapsed if (!this.clientInfo) await timeoutFallback(this.ready(), null, 2000); - const clientInfoParams = { + const clientInfoParams: { + mcp_client_name: string; + mcp_client_version: string; + gemini_cli_extension: string; + } = { mcp_client_name: this.clientInfo?.name || "", mcp_client_version: this.clientInfo?.version || "", + gemini_cli_extension: process.env.IS_GEMINI_CLI_EXTENSION ? "true" : "false", }; return trackGA4(event, { ...params, ...clientInfoParams }); } From 5c30b3ed72dee6b8c12cc1715ec8f97ecc275251 Mon Sep 17 00:00:00 2001 From: Joe Hanley Date: Wed, 24 Sep 2025 20:35:00 -0700 Subject: [PATCH 27/37] Fixing bug --- scripts/publish.sh | 10 ++-------- 1 file changed, 2 insertions(+), 8 deletions(-) diff --git a/scripts/publish.sh b/scripts/publish.sh index fc25d4688a6..54575e83428 100755 --- a/scripts/publish.sh +++ b/scripts/publish.sh @@ -93,7 +93,7 @@ echo "Ran tests." if [[ $VERSION == "preview" ]]; then echo "Making a preview version..." sanitized_branch=$(echo "$BRANCH" | sed 's/[^a-zA-Z0-9]/-/g') - npm version prerelease --preid=preview-${sanitized_branch} + npm version prerelease --preid=${sanitized_branch} NEW_VERSION=$(jq -r ".version" package.json) echo "Made a preview version." else @@ -112,13 +112,7 @@ cat CHANGELOG.md >> "${RELEASE_NOTES_FILE}" echo "Made the release notes." echo "Publishing to npm..." -if [[ $VERSION == "preview" ]]; then - # Note: we publish with a dynamic tag so that this does not become the "latest" version - sanitized_branch=$(echo "$BRANCH" | sed 's/[^a-zA-Z0-9]/-/g') - npx clean-publish@5.0.0 --before-script ./scripts/clean-shrinkwrap.sh --tag=preview-${sanitized_branch} -else - npx clean-publish@5.0.0 --before-script ./scripts/clean-shrinkwrap.sh -fi +npx clean-publish@5.0.0 --before-script ./scripts/clean-shrinkwrap.sh echo "Published to npm." if [[ $VERSION != "preview" ]]; then From 65137840fe58db2c6afa1781b723409dabb50b21 Mon Sep 17 00:00:00 2001 From: Konstantin Mandrika Date: Thu, 25 Sep 2025 09:23:28 -0400 Subject: [PATCH 28/37] Update auth, firestore, and hosting instructions (#9186) --- src/mcp/resources/guides/init_auth.ts | 19 ++++++++++++------ src/mcp/resources/guides/init_firestore.ts | 23 +++++++++++++++------- src/mcp/resources/guides/init_hosting.ts | 10 +++++++--- 3 files changed, 36 insertions(+), 16 deletions(-) diff --git a/src/mcp/resources/guides/init_auth.ts b/src/mcp/resources/guides/init_auth.ts index 49de7dc74f6..f4bd1f79966 100644 --- a/src/mcp/resources/guides/init_auth.ts +++ b/src/mcp/resources/guides/init_auth.ts @@ -17,12 +17,19 @@ export const init_auth = resource( text: ` ### Configure Firebase Authentication -- **Permission Required**: Request developer permission before implementing authentication features -- **Provider Setup**: Guide developers to enable authentication providers (Email/Password, Google Sign-in, etc.) in the [Firebase Auth Console](https://console.firebase.google.com/). Ask developers to confirm which authentication method they selected before proceeding to implementation. -- **Implementation**: Create sign-up and login pages using Firebase Authentication. -- **Security Rules**: Update Firestore security rules to ensure only authenticated users can access their own data -- **Testing**: Recommend developers test the complete sign-up and sign-in flow to verify authentication functionality -- **Next Steps**: Recommend deploying the application to production once authentication is verified and working properly +**Permission & Setup:** +- Request developer permission before implementing sign-up and login features +- Guide developers to enable authentication providers (Email/Password, Google Sign-in, etc.) in the [Firebase Auth Console](https://console.firebase.google.com/) +- Ask developers to confirm which authentication method they selected before proceeding + +**Implementation:** +- Create sign-up and login pages using Firebase Authentication +- Update Firestore security rules and deploy them to ensure only authenticated users can access their own data +- Handle security rule updates automatically (do not ask developers to go to console) + +**Testing & Deployment:** +- Test the complete sign-up and sign-in flow to verify authentication functionality +- Deploy the application to production once authentication is verified and working properly `.trim(), }, ], diff --git a/src/mcp/resources/guides/init_firestore.ts b/src/mcp/resources/guides/init_firestore.ts index 1e29faba3f6..9e178648aea 100644 --- a/src/mcp/resources/guides/init_firestore.ts +++ b/src/mcp/resources/guides/init_firestore.ts @@ -16,14 +16,23 @@ export const init_firestore = resource( text: ` ### Setup Firestore Database +**Database Setup:** - Set up Firebase Firestore as the primary database for the application -- Implement client code for basic CRUD operations for the application -- **Important**: Use the \`firebase deploy\` command to provision the database automatically. **Do not ask developers to go to the console to do it**. -- **Environment**: Use production environment directly - avoid emulator for initial setup -- **Verification**: Guide developers to verify database creation at the [Firebase Console](https://console.firebase.google.com/) by clicking on the "Firestore Database" tab in the left navigation to confirm the database is created. -- **Testing**: Recommend developers test their application and verify data appears correctly in the console. Ask developers to confirm they can see their test data in the console before proceeding to the next step. -- **Security**: Recommend implementing authentication if the application handles sensitive user data. Guide users to navigate to the "Firestore Database" section and click on the "Rules" tab to view and configure their security rules. -- **Security Warning**: Alert developers against making Firestore security rules public (allowing read/write without authentication) +- Implement client code for basic CRUD operations using Firestore SDK +- Run \`firebase deploy\` command to provision the database automatically +- Use production environment directly (avoid emulator for initial setup) + +**Verification & Testing:** +- Only proceed to verification after running the \`firebase deploy\` command +- Guide developers to verify database creation at the [Firebase Console](https://console.firebase.google.com/) +- Navigate to "Firestore Database" in the left navigation to confirm database creation +- Ask developers to test their application and confirm they can see test data in the console +- Only proceed to the next step after confirmation + +**Security:** +- Recommend implementing authentication if the application handles sensitive user data +- Guide users to navigate to "Firestore Database" → "Rules" tab to configure security rules +- **Warning**: Never make Firestore security rules public (allowing read/write without authentication) `.trim(), }, ], diff --git a/src/mcp/resources/guides/init_hosting.ts b/src/mcp/resources/guides/init_hosting.ts index 47818c14cd3..44f1e91d2d0 100644 --- a/src/mcp/resources/guides/init_hosting.ts +++ b/src/mcp/resources/guides/init_hosting.ts @@ -17,10 +17,14 @@ export const init_hosting = resource( text: ` ### Configure Firebase Hosting +**When to Deploy:** - Introduce Firebase Hosting when developers are ready to deploy their application to production -- **Alternative**: Developers can deploy later using the \`/deploy\` command -- **Permission Required**: Request developer permission before implementing Firebase Hosting -- **Deployment**: Configure Firebase Hosting and deploy the application to production +- Alternative: Developers can deploy later using the \`/deploy\` command + +**Deployment Process:** +- Request developer permission before implementing Firebase Hosting +- Check security rules before deploying - do not deploy if rules are public without explicit confirmation +- Configure Firebase Hosting and deploy the application to production `.trim(), }, ], From 57d574acfeac699915b9cece8749a5bf99cdf690 Mon Sep 17 00:00:00 2001 From: Thomas Bouldin Date: Thu, 25 Sep 2025 08:58:56 -0700 Subject: [PATCH 29/37] BYO bucket for v2 functions uploads with runfunctions enabled (#8980) * BYO bucket for v2 functions uploads with runfunctions enabled * update comments * Reconcile FAH & CF3 upsert bucket. Fix Map usage in FAH * PR feedback * PR feedback * PR feedback I failed to push earlier * Fix problematic merge --- src/apphosting/secrets/dialogs.spec.ts | 2 +- src/deploy/apphosting/args.ts | 6 +- src/deploy/apphosting/deploy.spec.ts | 119 ++++++++++---------- src/deploy/apphosting/deploy.ts | 149 +++++++++++-------------- src/deploy/apphosting/prepare.spec.ts | 31 +++-- src/deploy/apphosting/prepare.ts | 14 +-- src/deploy/apphosting/release.spec.ts | 56 +++++----- src/deploy/apphosting/release.ts | 67 +++++------ src/deploy/functions/deploy.spec.ts | 115 +++++++++++++++++++ src/deploy/functions/deploy.ts | 83 +++++++++++--- src/gcp/cloudfunctionsv2.ts | 2 +- src/gcp/storage.spec.ts | 132 ++++++++++++++++++++++ src/gcp/storage.ts | 73 ++++++++++-- 13 files changed, 585 insertions(+), 264 deletions(-) create mode 100644 src/gcp/storage.spec.ts diff --git a/src/apphosting/secrets/dialogs.spec.ts b/src/apphosting/secrets/dialogs.spec.ts index 7b0b8a6767c..9b88d881b4e 100644 --- a/src/apphosting/secrets/dialogs.spec.ts +++ b/src/apphosting/secrets/dialogs.spec.ts @@ -92,7 +92,7 @@ describe("dialogs", () => { ]); }); - it("uses 'service accounts' header if any backend uses more than one service accont", async () => { + it("uses 'service accounts' header if any backend uses more than one service account", async () => { const table = dialogs.tableForBackends(await dialogs.toMetadata("number", [legacy, modernA])); const legacyAccounts = await secrets.serviceAccountsForBackend("number", legacy); expect(table[0]).to.deep.equal(["location", "backend", "service accounts"]); diff --git a/src/deploy/apphosting/args.ts b/src/deploy/apphosting/args.ts index 82ce1f12324..7abaddc5f39 100644 --- a/src/deploy/apphosting/args.ts +++ b/src/deploy/apphosting/args.ts @@ -8,8 +8,8 @@ export interface LocalBuild { } export interface Context { - backendConfigs: Map; - backendLocations: Map; - backendStorageUris: Map; + backendConfigs: Record; + backendLocations: Record; + backendStorageUris: Record; backendLocalBuilds: Record; } diff --git a/src/deploy/apphosting/deploy.spec.ts b/src/deploy/apphosting/deploy.spec.ts index 95bd550e7d5..e03d68b3d42 100644 --- a/src/deploy/apphosting/deploy.spec.ts +++ b/src/deploy/apphosting/deploy.spec.ts @@ -1,8 +1,6 @@ import { expect } from "chai"; import * as sinon from "sinon"; import { Config } from "../../config"; -import { FirebaseError } from "../../error"; -import { AppHostingSingle } from "../../firebaseConfig"; import * as gcs from "../../gcp/storage"; import { RC } from "../../rc"; import { Context } from "./args"; @@ -26,43 +24,32 @@ const BASE_OPTS = { function initializeContext(): Context { return { - backendConfigs: new Map([ - [ - "foo", - { - backendId: "foo", - rootDir: "/", - ignore: [], - }, - ], - [ - "foo-local-build", - { - backendId: "foo-local-build", - rootDir: "/", - ignore: [], - localBuild: true, - }, - ], - ]), - backendLocations: new Map([ - ["foo", "us-central1"], - ["foo-local-build", "us-central1"], - ]), - backendStorageUris: new Map(), + backendConfigs: { + foo: { + backendId: "foo", + rootDir: "/", + ignore: [], + }, + fooLocalBuild: { + backendId: "fooLocalBuild", + rootDir: "/", + ignore: [], + localBuild: true, + } + }, + backendLocations: { foo: "us-central1" , fooLocalBuild: "us-central1"}, + backendStorageUris: {}, backendLocalBuilds: { - "foo-local-build": { - buildDir: "./nextjs/standalone", - buildConfig: {}, - annotations: {}, + fooLocalBuild: { + buildDir: "./nextjs/standalone", + buildConfig: {}, + annotations: {}, }, }, - }; -} + }; describe("apphosting", () => { - let getBucketStub: sinon.SinonStub; - let createBucketStub: sinon.SinonStub; + let upsertBucketStub: sinon.SinonStub; let uploadObjectStub: sinon.SinonStub; let createArchiveStub: sinon.SinonStub; let createReadStreamStub: sinon.SinonStub; @@ -72,8 +59,7 @@ describe("apphosting", () => { getProjectNumberStub = sinon .stub(getProjectNumber, "getProjectNumber") .throws("Unexpected getProjectNumber call"); - getBucketStub = sinon.stub(gcs, "getBucket").throws("Unexpected getBucket call"); - createBucketStub = sinon.stub(gcs, "createBucket").throws("Unexpected createBucket call"); + upsertBucketStub = sinon.stub(gcs, "upsertBucket").throws("Unexpected upsertBucket call"); uploadObjectStub = sinon.stub(gcs, "uploadObject").throws("Unexpected uploadObject call"); createArchiveStub = sinon.stub(util, "createArchive").throws("Unexpected createArchive call"); createReadStreamStub = sinon @@ -98,7 +84,7 @@ describe("apphosting", () => { ignore: [], }, { - backendId: "foo-local-build", + backendId: "fooLocalBuild", rootDir: "/", ignore: [], localBuild: true, @@ -107,20 +93,10 @@ describe("apphosting", () => { }), }; - it("creates regional GCS bucket if one doesn't exist yet", async () => { + it("upserts regional GCS bucket", async () => { const context = initializeContext(); getProjectNumberStub.resolves("000000000000"); - getBucketStub.onFirstCall().rejects( - new FirebaseError("error", { - original: new FirebaseError("original error", { status: 404 }), - }), - ); - getBucketStub.onSecondCall().rejects( - new FirebaseError("error", { - original: new FirebaseError("original error", { status: 404 }), - }), - ); - createBucketStub.resolves(); + upsertBucketStub.resolves(); createArchiveStub.onFirstCall().resolves("path/to/foo-1234.zip"); createArchiveStub.onSecondCall().resolves("path/to/foo-local-build-1234.zip"); uploadObjectStub.onFirstCall().resolves({ @@ -137,10 +113,23 @@ describe("apphosting", () => { await deploy(context, opts); // assert backend foo calls - expect(createBucketStub).to.be.calledWithMatch("my-project", { - name: "firebaseapphosting-sources-000000000000-us-central1", - location: "us-central1", - lifecycle: sinon.match.any, + expect(upsertBucketStub).to.be.calledWith({ + product: "apphosting", + createMessage: + "Creating Cloud Storage bucket in us-central1 to store App Hosting source code uploads at firebaseapphosting-sources-000000000000-us-central1...", + projectId: "my-project", + req: { + name: "firebaseapphosting-sources-000000000000-us-central1", + location: "us-central1", + lifecycle: { + rule: [ + { + action: { type: "Delete" }, + condition: { age: 30 }, + }, + ], + }, + }, }); expect(createArchiveStub).to.be.calledWithExactly( context.backendConfigs.get("foo"), @@ -153,10 +142,21 @@ describe("apphosting", () => { ); // assert backend foo-local-build calls - expect(createBucketStub).to.be.calledWithMatch("my-project", { - name: "firebaseapphosting-build-000000000000-us-central1", - location: "us-central1", - lifecycle: sinon.match.any, + expect(upsertBucketStub).to.be.calledWith({ + product: "apphosting", + createMessage: + "Creating Cloud Storage bucket in us-central1 to store App Hosting source code uploads at firebaseapphosting-sources-000000000000-us-central1...", + projectId: "my-project", + req: { + name: "firebaseapphosting-build-000000000000-us-central1", + location: "us-central1", + rule: [ + { + action: { type: "Delete" }, + condition: { age: 30 }, + }, + ], + }, }); expect(createArchiveStub).to.be.calledWithExactly( context.backendConfigs.get("foo-local-build"), @@ -172,8 +172,7 @@ describe("apphosting", () => { it("correctly creates and sets storage URIs", async () => { const context = initializeContext(); getProjectNumberStub.resolves("000000000000"); - getBucketStub.resolves(); - createBucketStub.resolves(); + upsertBucketStub.resolves(); createArchiveStub.onFirstCall().resolves("path/to/foo-1234.zip"); createArchiveStub.onSecondCall().resolves("path/to/foo-local-build-1234.zip"); @@ -190,7 +189,7 @@ describe("apphosting", () => { await deploy(context, opts); - expect(context.backendStorageUris.get("foo")).to.equal( + expect(context.backendStorageUris["foo"]).to.equal( "gs://firebaseapphosting-sources-000000000000-us-central1/foo-1234.zip", ); expect(context.backendStorageUris.get("foo-local-build")).to.equal( diff --git a/src/deploy/apphosting/deploy.ts b/src/deploy/apphosting/deploy.ts index b3febf43626..bb700771af5 100644 --- a/src/deploy/apphosting/deploy.ts +++ b/src/deploy/apphosting/deploy.ts @@ -1,11 +1,11 @@ import * as fs from "fs"; import * as path from "path"; -import { FirebaseError, getErrStatus } from "../../error"; +import { FirebaseError } from "../../error"; import * as gcs from "../../gcp/storage"; import { getProjectNumber } from "../../getProjectNumber"; import { Options } from "../../options"; import { needProjectId } from "../../projectUtils"; -import { logLabeledBullet, logLabeledWarning } from "../../utils"; +import { logLabeledBullet } from "../../utils"; import { Context } from "./args"; import { createArchive } from "./util"; @@ -14,7 +14,7 @@ import { createArchive } from "./util"; * build and deployment. Creates storage buckets if necessary. */ export default async function (context: Context, options: Options): Promise { - if (context.backendConfigs.size === 0) { + if (Object.entries(context.backendConfigs).length === 0) { return; } const projectId = needProjectId(options); @@ -24,92 +24,71 @@ export default async function (context: Context, options: Options): Promise { + const cfg = context.backendConfigs[backendId]; + const bucketName = `firebaseapphosting-${cfg?.localBuild ? "build" : "sources"}-${options.projectNumber}-${loc.toLowerCase()}`; + await gcs.upsertBucket({ + product: "apphosting", + createMessage: `Creating Cloud Storage bucket in ${loc} to store App Hosting source code uploads at ${bucketName}...`, + projectId, + req: { + name: bucketName, + location: loc, + lifecycle: { + rule: [ + { + action: { + type: "Delete", + }, + condition: { + age: 30, }, - ], - }, - }); - } catch (err) { - if (getErrStatus((err as FirebaseError).original) === 403) { - logLabeledWarning( - "apphosting", - "Failed to create Cloud Storage bucket because user does not have sufficient permissions. " + - "See https://cloud.google.com/storage/docs/access-control/iam-roles for more details on " + - "IAM roles that are able to create a Cloud Storage bucket, and ask your project administrator " + - "to grant you one of those roles.", - ); - throw (err as FirebaseError).original; - } - } - } else { - throw err; + }, + ], + }, + }, + }); + }), + ); + await Promise.all( + Object.values(context.backendConfigs).map(async (cfg) => { + const rootDir = options.projectRoot ?? process.cwd(); + let builtAppDir; + if (cfg.localBuild) { + builtAppDir = context.backendLocalBuilds[cfg.backendId].buildDir; + if (!builtAppDir) { + throw new FirebaseError(`No local build dir found for ${cfg.backendId}`); + } } - } - } + const zippedSourcePath = await createArchive(cfg, rootDir, builtAppDir); + logLabeledBullet( + "apphosting", + `Zipped ${cfg.localBuild ? "built app" : "source"} for backend ${cfg.backendId}`, + ); - for (const cfg of context.backendConfigs.values()) { - const rootDir = options.projectRoot ?? process.cwd(); - let builtAppDir; - if (cfg.localBuild) { - builtAppDir = context.backendLocalBuilds[cfg.backendId].buildDir; - if (!builtAppDir) { - throw new FirebaseError(`No local build dir found for ${cfg.backendId}`); + const backendLocation = context.backendLocations[cfg.backendId]; + if (!backendLocation) { + throw new FirebaseError( + `Failed to find location for backend ${cfg.backendId}. Please contact support with the contents of your firebase-debug.log to report your issue.`, + ); } - } - const zippedSourcePath = await createArchive(cfg, rootDir, builtAppDir); - logLabeledBullet( - "apphosting", - `Zipped ${cfg.localBuild ? "built app" : "source"} for backend ${cfg.backendId}`, - ); + logLabeledBullet( + "apphosting", + `Uploading ${cfg.localBuild ? "built app" : "source"} for backend ${cfg.backendId}...`, + ); + const bucketName = `firebaseapphosting-${cfg.localBuild ? "build" : "sources"}-${options.projectNumber}-${backendLocation.toLowerCase()}`; - const backendLocation = context.backendLocations.get(cfg.backendId); - if (!backendLocation) { - throw new FirebaseError( - `Failed to find location for backend ${cfg.backendId}. Please contact support with the contents of your firebase-debug.log to report your issue.`, + const { bucket, object } = await gcs.uploadObject( + { + file: zippedSourcePath, + stream: fs.createReadStream(zippedSourcePath), + }, + bucketName, ); - } - logLabeledBullet( - "apphosting", - `Uploading ${cfg.localBuild ? "built app" : "source"} for backend ${cfg.backendId}...`, - ); - const gcsBucketName = `firebaseapphosting-${cfg.localBuild ? "build" : "sources"}-${options.projectNumber}-${backendLocation.toLowerCase()}`; - const { bucket, object } = await gcs.uploadObject( - { - file: zippedSourcePath, - stream: fs.createReadStream(zippedSourcePath), - }, - gcsBucketName, - ); - logLabeledBullet("apphosting", `Source code uploaded at gs://${bucket}/${object}`); - context.backendStorageUris.set( - cfg.backendId, - `gs://${gcsBucketName}/${path.basename(zippedSourcePath)}`, - ); - } + logLabeledBullet("apphosting", `Uploaded at gs://${bucket}/${object}`); + context.backendStorageUris[cfg.backendId] = + `gs://${bucketName}/${path.basename(zippedSourcePath)}`; + }), + ); } diff --git a/src/deploy/apphosting/prepare.spec.ts b/src/deploy/apphosting/prepare.spec.ts index e3f6b658c3a..2db603d2dec 100644 --- a/src/deploy/apphosting/prepare.spec.ts +++ b/src/deploy/apphosting/prepare.spec.ts @@ -3,7 +3,6 @@ import * as sinon from "sinon"; import * as backend from "../../apphosting/backend"; import { Config } from "../../config"; import * as apiEnabled from "../../ensureApiEnabled"; -import { AppHostingSingle } from "../../firebaseConfig"; import * as apphosting from "../../gcp/apphosting"; import * as devconnect from "../../gcp/devConnect"; import * as prompt from "../../prompt"; @@ -27,9 +26,9 @@ const BASE_OPTS = { function initializeContext(): Context { return { - backendConfigs: new Map(), - backendLocations: new Map(), - backendStorageUris: new Map(), + backendConfigs: {}, + backendLocations: {}, + backendStorageUris: {}, backendLocalBuilds: {}, }; } @@ -140,13 +139,13 @@ describe("apphosting", () => { await prepare(context, opts); - expect(context.backendLocations.get("foo")).to.equal("us-central1"); - expect(context.backendConfigs.get("foo")).to.deep.equal({ + expect(context.backendLocations["foo"]).to.equal("us-central1"); + expect(context.backendConfigs["foo"]).to.deep.equal({ backendId: "foo", rootDir: "/", ignore: [], }); - expect(context.backendLocalBuilds).to.deep.equal({}); + expect(context.backendLocalBuilds["foo}).to.be.undefined; }); it("creates a backend if it doesn't exist yet", async () => { @@ -161,13 +160,13 @@ describe("apphosting", () => { await prepare(context, opts); expect(doSetupSourceDeployStub).to.be.calledWith("my-project", "foo"); - expect(context.backendLocations.get("foo")).to.equal("us-central1"); - expect(context.backendConfigs.get("foo")).to.deep.equal({ + expect(context.backendLocations["foo"]).to.equal("us-central1"); + expect(context.backendConfigs["foo"]).to.deep.equal({ backendId: "foo", rootDir: "/", ignore: [], }); - expect(context.backendLocalBuilds).to.deep.equal({}); + expect(context.backendLocalBuilds["foo"]).to.be.undefined; }); it("skips backend deployment if alwaysDeployFromSource is false", async () => { @@ -196,9 +195,9 @@ describe("apphosting", () => { await prepare(context, optsWithAlwaysDeploy); - expect(context.backendLocations.get("foo")).to.equal(undefined); - expect(context.backendConfigs.get("foo")).to.deep.equal(undefined); - expect(context.backendLocalBuilds).to.deep.equal({}); + expect(context.backendLocations["foo"]).to.be.undefined; + expect(context.backendConfigs["foo"]).to.be.undefined; + expect(context.backendLocalBuilds["foo"]).to.be.undefined; }); it("prompts user if codebase is already connected and alwaysDeployFromSource is undefined", async () => { @@ -221,14 +220,14 @@ describe("apphosting", () => { await prepare(context, opts); - expect(context.backendLocations.get("foo")).to.equal("us-central1"); - expect(context.backendConfigs.get("foo")).to.deep.equal({ + expect(context.backendLocations["foo"]).to.equal("us-central1"); + expect(context.backendConfigs["foo"]).to.deep.equal({ backendId: "foo", rootDir: "/", ignore: [], alwaysDeployFromSource: true, }); - expect(context.backendLocalBuilds).to.deep.equal({}); + expect(context.backendLocalBuilds["foo"]).to.undefined; }); }); diff --git a/src/deploy/apphosting/prepare.ts b/src/deploy/apphosting/prepare.ts index 5473589c874..8524c68f8a4 100644 --- a/src/deploy/apphosting/prepare.ts +++ b/src/deploy/apphosting/prepare.ts @@ -25,9 +25,9 @@ export default async function (context: Context, options: Options): Promise(); - context.backendLocations = new Map(); - context.backendStorageUris = new Map(); + context.backendConfigs = {}; + context.backendLocations = {}; + context.backendStorageUris = {}; context.backendLocalBuilds = {}; const configs = getBackendConfigs(options); @@ -104,8 +104,8 @@ export default async function (context: Context, options: Options): Promise 0) { @@ -134,8 +134,8 @@ export default async function (context: Context, options: Options): Promise { }; it("Supports passing localBuild information", async () => { const context: Context = { - backendConfigs: new Map([ - [ - "foo", - { - backendId: "foo", - rootDir: "/", - ignore: [], - localBuild: true, - }, - ], - ]), - backendLocations: new Map([["foo", "us-central1"]]), - backendStorageUris: new Map([ - ["foo", "gs://firebaseapphosting-sources-us-central1/foo-1234.zip"], - ]), + backendConfigs: { + foo: { + backendId: "foo", + rootDir: "/", + ignore: [], + localBuild: true, + }, + }, + backendLocations: { foo: "us-central1" }, + backendStorageUris: { + foo: "gs://firebaseapphosting-sources-us-central1/foo-1234.zip", + }, backendLocalBuilds: { foo: { buildConfig: { @@ -119,22 +115,20 @@ describe("apphosting", () => { it("does not block rollouts of other backends if one rollout fails", async () => { const context: Context = { - backendConfigs: new Map([ - [ - "foo", - { - backendId: "foo", - rootDir: "/", - ignore: [], - }, - ], - ]), - backendLocations: new Map([["foo", "us-central1"]]), - backendStorageUris: new Map([ - ["foo", "gs://firebaseapphosting-sources-us-central1/foo-1234.zip"], - ]), - backendLocalBuilds: {}, + backendConfigs: { + foo: { + backendId: "foo", + rootDir: "/", + ignore: [], + }, + }, + backendLocations: { foo: "us-central1" }, + backendStorageUris: { + foo: "gs://firebaseapphosting-sources-us-central1/foo-1234.zip", + }, + backendLocalBuilds: {}, }; + orchestrateRolloutStub = sinon .stub(rollout, "orchestrateRollout") .throws("Unexpected orchestrateRollout call"); diff --git a/src/deploy/apphosting/release.ts b/src/deploy/apphosting/release.ts index 841e4f7c727..ae684888ff8 100644 --- a/src/deploy/apphosting/release.ts +++ b/src/deploy/apphosting/release.ts @@ -16,54 +16,49 @@ import { Context } from "./args"; * Orchestrates rollouts for the backends targeted for deployment. */ export default async function (context: Context, options: Options): Promise { - if (context.backendConfigs.size === 0) { + let backendIds = Object.keys(context.backendConfigs); + + const missingBackends = backendIds.filter( + (id) => !context.backendLocations[id] || !context.backendStorageUris[id], + ); + if (missingBackends.length > 0) { + logLabeledWarning( + "apphosting", + `Failed to find metadata for backend(s) ${backendIds.join(", ")}. Please contact support with the contents of your firebase-debug.log to report your issue.`, + ); + backendIds = backendIds.filter((id) => !missingBackends.includes(id)); + } + + if (backendIds.length === 0) { return; } + const projectId = needProjectId(options); - const rollouts = []; - const backendIds = []; - for (const backendId of context.backendConfigs.keys()) { - const config = context.backendConfigs.get(backendId); - const location = context.backendLocations.get(backendId); - const storageUri = context.backendStorageUris.get(backendId); - if (!config || !location || !storageUri) { - logLabeledWarning( - "apphosting", - `Failed to find metadata for backend ${backendId}. Please contact support with the contents of your firebase-debug.log to report your issue.`, - ); - continue; - } - backendIds.push(backendId); + const rollouts = backendIds.map((backendId) => // TODO(9114): Add run_command - let buildConfig; - if (config.localBuild) { - buildConfig = context.backendLocalBuilds[backendId].buildConfig; - } - rollouts.push( - orchestrateRollout({ - projectId, - location, - backendId, - buildInput: { - config: buildConfig, - source: { - archive: { - userStorageUri: storageUri, - rootDirectory: config.rootDir, - locallyBuiltSource: config.localBuild, - }, + orchestrateRollout({ + projectId, + backendId, + location: context.backendLocations[backendId], + buildInput: { + config: context.backendLocalBuilds[backendId].buildConfig, + source: { + archive: { + userStorageUri: context.backendStorageUris[backendId], + rootDirectory: context.backendConfigs[backendId].rootDir, + locallBuiltSource: config.localBuild, }, }, - }), - ); - } + }, + }), + ); logLabeledBullet( "apphosting", `You may also track the rollout(s) at:\n\t${consoleOrigin()}/project/${projectId}/apphosting`, ); const rolloutsSpinner = ora( - `Starting rollout(s) for backend(s) ${Array.from(context.backendConfigs.keys()).join(", ")}; this may take a few minutes. It's safe to exit now.\n`, + `Starting rollout(s) for backend(s) ${backendIds.join(", ")}; this may take a few minutes. It's safe to exit now.\n`, ).start(); const results = await Promise.allSettled(rollouts); for (let i = 0; i < results.length; i++) { diff --git a/src/deploy/functions/deploy.spec.ts b/src/deploy/functions/deploy.spec.ts index db042b4063d..3777d4cb37f 100644 --- a/src/deploy/functions/deploy.spec.ts +++ b/src/deploy/functions/deploy.spec.ts @@ -1,8 +1,12 @@ import { expect } from "chai"; +import * as sinon from "sinon"; import * as args from "./args"; import * as backend from "./backend"; import * as deploy from "./deploy"; +import * as gcs from "../../gcp/storage"; +import * as gcfv2 from "../../gcp/cloudfunctionsv2"; +import * as experiments from "../../experiments"; describe("deploy", () => { const ENDPOINT_BASE: Omit = { @@ -137,4 +141,115 @@ describe("deploy", () => { expect(result).to.be.false; }); }); + + describe("uploadSourceV2", () => { + let gcsUploadStub: sinon.SinonStub; + let gcsUpsertBucketStub: sinon.SinonStub; + let gcfv2GenerateUploadUrlStub: sinon.SinonStub; + let createReadStreamStub: sinon.SinonStub; + let experimentEnabled: boolean; + + const SOURCE: args.Source = { + functionsSourceV2: "source.zip", + functionsSourceV2Hash: "source-hash", + }; + const CREATE_MESSAGE = + "Creating Cloud Storage bucket in region to store Functions source code uploads at firebase-functions-src-123456..."; + + before(() => { + experimentEnabled = experiments.isEnabled("runfunctions"); + }); + after(() => experiments.setEnabled("runfunctions", experimentEnabled)); + + beforeEach(() => { + gcsUploadStub = sinon.stub(gcs, "upload").resolves({ generation: "1" }); + gcsUpsertBucketStub = sinon.stub(gcs, "upsertBucket").resolves(); + gcfv2GenerateUploadUrlStub = sinon.stub(gcfv2, "generateUploadUrl").resolves({ + uploadUrl: "https://storage.googleapis.com/upload/url", + storageSource: { + bucket: "gcf-sources-123-us-central1", + object: "source-hash.zip", + }, + }); + createReadStreamStub = sinon.stub(deploy, "createReadStream").returns("stream" as any); + }); + + afterEach(() => { + sinon.restore(); + }); + + describe("with runfunctions experiment enabled", () => { + before(() => experiments.setEnabled("runfunctions", true)); + + it("should call gcs.upsertBucket and gcs.upload for gcfv2 functions", async () => { + const wantBackend = backend.of({ ...ENDPOINT, platform: "gcfv2" }); + + await deploy.uploadSourceV2("project", "123456", SOURCE, wantBackend); + + expect(gcsUpsertBucketStub).to.be.calledOnceWith({ + product: "functions", + projectId: "project", + createMessage: CREATE_MESSAGE, + req: { + name: "firebase-functions-src-123456", + location: "region", + lifecycle: { rule: [{ action: { type: "Delete" }, condition: { age: 1 } }] }, + }, + }); + expect(createReadStreamStub).to.be.calledOnceWith("source.zip"); + expect(gcsUploadStub).to.be.calledOnceWith( + { file: "source.zip", stream: "stream" }, + "firebase-functions-src-123456/source-hash.zip", + undefined, + true, + ); + expect(gcfv2GenerateUploadUrlStub).not.to.be.called; + }); + + it("should call gcs.upsertBucket and gcs.upload for run functions", async () => { + const wantBackend = backend.of({ ...ENDPOINT, platform: "run" }); + + await deploy.uploadSourceV2("project", "123456", SOURCE, wantBackend); + + expect(gcsUpsertBucketStub).to.be.calledOnceWith({ + product: "functions", + projectId: "project", + createMessage: CREATE_MESSAGE, + req: { + name: "firebase-functions-src-123456", + location: "region", + lifecycle: { rule: [{ action: { type: "Delete" }, condition: { age: 1 } }] }, + }, + }); + expect(createReadStreamStub).to.be.calledOnceWith("source.zip"); + expect(gcsUploadStub).to.be.calledOnceWith( + { file: "source.zip", stream: "stream" }, + "firebase-functions-src-123456/source-hash.zip", + undefined, + true, + ); + expect(gcfv2GenerateUploadUrlStub).not.to.be.called; + }); + }); + + context("with runfunctions experiment disabled", () => { + before(() => experiments.setEnabled("runfunctions", false)); + + it("should call gcfv2.generateUploadUrl and gcs.upload", async () => { + const wantBackend = backend.of({ ...ENDPOINT, platform: "gcfv2" }); + + await deploy.uploadSourceV2("project", "123456", SOURCE, wantBackend); + + expect(gcfv2GenerateUploadUrlStub).to.be.calledOnceWith("project", "region"); + expect(createReadStreamStub).to.be.calledOnceWith("source.zip"); + expect(gcsUploadStub).to.be.calledOnceWith( + { file: "source.zip", stream: "stream" }, + "https://storage.googleapis.com/upload/url", + undefined, + true, + ); + expect(gcsUpsertBucketStub).not.to.be.called; + }); + }); + }); }); diff --git a/src/deploy/functions/deploy.ts b/src/deploy/functions/deploy.ts index c61c6b9c3f2..6d2d481bf7f 100644 --- a/src/deploy/functions/deploy.ts +++ b/src/deploy/functions/deploy.ts @@ -11,8 +11,10 @@ import * as gcs from "../../gcp/storage"; import * as gcf from "../../gcp/cloudfunctions"; import * as gcfv2 from "../../gcp/cloudfunctionsv2"; import * as backend from "./backend"; +import * as experiments from "../../experiments"; import { findEndpoint } from "./backend"; import { deploy as extDeploy } from "../extensions"; +import { getProjectNumber } from "../../getProjectNumber"; setGracefulCleanup(); @@ -48,33 +50,87 @@ async function uploadSourceV1( return uploadUrl; } -async function uploadSourceV2( +// Trampoline to allow tests to mock out createStream. +export function createReadStream(filePath: string): NodeJS.ReadableStream { + return fs.createReadStream(filePath); +} + +export async function uploadSourceV2( projectId: string, + projectNumber: string, source: args.Source, wantBackend: backend.Backend, ): Promise { - const v2Endpoints = backend.allEndpoints(wantBackend).filter((e) => e.platform === "gcfv2"); + const v2Endpoints = backend + .allEndpoints(wantBackend) + .filter((e) => e.platform === "gcfv2" || e.platform === "run"); if (v2Endpoints.length === 0) { return; } + // N.B. Should we upload to multiple regions? For now, just pick the first one. + // Uploading to multiple regions might slow upload and cost the user money if they + // pay their ISP for bandwidth, but having a bucket per region would avoid cross-region + // fees from GCP. const region = v2Endpoints[0].region; // Just pick a region to upload the source. - const res = await gcfv2.generateUploadUrl(projectId, region); const uploadOpts = { file: source.functionsSourceV2!, - stream: fs.createReadStream(source.functionsSourceV2!), + stream: (exports as { createReadStream: typeof createReadStream }).createReadStream( + source.functionsSourceV2!, + ), }; - if (process.env.GOOGLE_CLOUD_QUOTA_PROJECT) { - logLabeledWarning( - "functions", - "GOOGLE_CLOUD_QUOTA_PROJECT is not usable when uploading source for Cloud Functions.", - ); + + // Legacy behavior: use the GCF API + if (!experiments.isEnabled("runfunctions")) { + if (process.env.GOOGLE_CLOUD_QUOTA_PROJECT) { + logLabeledWarning( + "functions", + "GOOGLE_CLOUD_QUOTA_PROJECT is not usable when uploading source for Cloud Functions.", + ); + } + const res = await gcfv2.generateUploadUrl(projectId, region); + await gcs.upload(uploadOpts, res.uploadUrl, undefined, true /* ignoreQuotaProject */); + return res.storageSource; } - await gcs.upload(uploadOpts, res.uploadUrl, undefined, true /* ignoreQuotaProject */); - return res.storageSource; + + // Future behavior: BYO bucket if we're using the Cloud Run API directly because it does not provide a source upload API. + // We use this behavior whenever the "runfunctions" experiment is enabled for now just to help vet the codepath incrementally. + // Using project number to ensure we don't exceed the bucket name length limit (in addition to PII controversy). + const bucketName = `firebase-functions-src-${projectNumber}`; + await gcs.upsertBucket({ + product: "functions", + projectId, + createMessage: `Creating Cloud Storage bucket in ${region} to store Functions source code uploads at ${bucketName}...`, + req: { + name: bucketName, + location: region, + lifecycle: { + rule: [ + { + action: { type: "Delete" }, + // Delete objects after 1 day. A safe default to avoid unbounded storage costs; + // consider making this configurable in the future. + condition: { age: 1 }, + }, + ], + }, + }, + }); + const objectPath = `${source.functionsSourceV2Hash}.zip`; + await gcs.upload( + uploadOpts, + `${bucketName}/${objectPath}`, + undefined, + true /* ignoreQuotaProject */, + ); + return { + bucket: bucketName, + object: objectPath, + }; } async function uploadCodebase( context: args.Context, + projectNumber: string, codebase: string, wantBackend: backend.Backend, ): Promise { @@ -86,7 +142,7 @@ async function uploadCodebase( const uploads: Promise[] = []; try { uploads.push(uploadSourceV1(context.projectId, source, wantBackend)); - uploads.push(uploadSourceV2(context.projectId, source, wantBackend)); + uploads.push(uploadSourceV2(context.projectId, projectNumber, source, wantBackend)); const [sourceUrl, storage] = await Promise.all(uploads); if (sourceUrl) { @@ -131,7 +187,8 @@ export async function deploy( if (shouldUploadBeSkipped(context, wantBackend, haveBackend)) { continue; } - uploads.push(uploadCodebase(context, codebase, wantBackend)); + const projectNumber = options.projectNumber || (await getProjectNumber(context.projectId)); + uploads.push(uploadCodebase(context, projectNumber, codebase, wantBackend)); } await Promise.all(uploads); } diff --git a/src/gcp/cloudfunctionsv2.ts b/src/gcp/cloudfunctionsv2.ts index 7e0903bbcaf..37291f037c2 100644 --- a/src/gcp/cloudfunctionsv2.ts +++ b/src/gcp/cloudfunctionsv2.ts @@ -60,7 +60,7 @@ export interface BuildConfig { export interface StorageSource { bucket: string; object: string; - generation: number; + generation?: number; } export interface RepoSource { diff --git a/src/gcp/storage.spec.ts b/src/gcp/storage.spec.ts new file mode 100644 index 00000000000..47e4a83fbfb --- /dev/null +++ b/src/gcp/storage.spec.ts @@ -0,0 +1,132 @@ +import { expect } from "chai"; +import * as sinon from "sinon"; + +import * as storage from "./storage"; +import * as utils from "../utils"; +import { FirebaseError } from "../error"; + +describe("storage", () => { + describe("upsertBucket", () => { + let getBucketStub: sinon.SinonStub; + let createBucketStub: sinon.SinonStub; + let logLabeledBulletStub: sinon.SinonStub; + let logLabeledWarningStub: sinon.SinonStub; + + beforeEach(() => { + getBucketStub = sinon.stub(storage, "getBucket"); + createBucketStub = sinon.stub(storage, "createBucket"); + logLabeledBulletStub = sinon.stub(utils, "logLabeledBullet"); + logLabeledWarningStub = sinon.stub(utils, "logLabeledWarning"); + }); + + afterEach(() => { + sinon.restore(); + }); + + it("should not call createBucket if the bucket already exists", async () => { + getBucketStub.resolves(); + + await storage.upsertBucket({ + product: "test", + createMessage: "Creating bucket", + projectId: "test-project", + req: { name: "test-bucket", location: "us-central1", lifecycle: { rule: [] } }, + }); + + expect(getBucketStub).to.be.calledOnceWith("test-bucket"); + expect(createBucketStub).to.not.be.called; + expect(logLabeledBulletStub).to.not.be.called; + }); + + it("should call createBucket if the bucket does not exist (404)", async () => { + const error = new FirebaseError("Not found", { original: { status: 404 } as any }); + getBucketStub.rejects(error); + createBucketStub.resolves(); + + await storage.upsertBucket({ + product: "test", + createMessage: "Creating bucket", + projectId: "test-project", + req: { name: "test-bucket", location: "us-central1", lifecycle: { rule: [] } }, + }); + + expect(getBucketStub).to.be.calledOnceWith("test-bucket"); + expect(createBucketStub).to.be.calledOnceWith( + "test-project", + { + name: "test-bucket", + location: "us-central1", + lifecycle: { rule: [] }, + }, + true, + ); + expect(logLabeledBulletStub).to.be.calledOnceWith("test", "Creating bucket"); + }); + + it("should call createBucket if the bucket does not exist (403)", async () => { + const error = new FirebaseError("Unauthenticated", { original: { status: 403 } as any }); + getBucketStub.rejects(error); + createBucketStub.resolves(); + + await storage.upsertBucket({ + product: "test", + createMessage: "Creating bucket", + projectId: "test-project", + req: { name: "test-bucket", location: "us-central1", lifecycle: { rule: [] } }, + }); + + expect(getBucketStub).to.be.calledOnceWith("test-bucket"); + expect(createBucketStub).to.be.calledOnceWith( + "test-project", + { + name: "test-bucket", + location: "us-central1", + lifecycle: { rule: [] }, + }, + true, + ); + expect(logLabeledBulletStub).to.be.calledOnceWith("test", "Creating bucket"); + }); + + it("should explain IAM errors", async () => { + const notFound = new FirebaseError("Bucket not found", { original: { status: 404 } as any }); + const permissionDenied = new FirebaseError("Permission denied", { + original: { status: 403 } as any, + }); + getBucketStub.rejects(notFound); + createBucketStub.rejects(permissionDenied); + + await expect( + storage.upsertBucket({ + product: "test", + createMessage: "Creating bucket", + projectId: "test-project", + req: { name: "test-bucket", location: "us-central1", lifecycle: { rule: [] } }, + }), + ).to.be.rejected; + + expect(logLabeledWarningStub).to.be.calledWithMatch( + "test", + /Failed to create Cloud Storage bucket because user does not have sufficient permissions/, + ); + }); + + it("should forward unexpected errors", async () => { + const error = new FirebaseError("Unexpected error", { original: { status: 500 } as any }); + getBucketStub.rejects(error); + + await expect( + storage.upsertBucket({ + product: "test", + createMessage: "Creating bucket", + projectId: "test-project", + req: { name: "test-bucket", location: "us-central1", lifecycle: { rule: [] } }, + }), + ).to.be.rejectedWith("Unexpected error"); + + expect(getBucketStub).to.be.calledOnceWith("test-bucket"); + expect(createBucketStub).to.not.be.called; + expect(logLabeledBulletStub).to.not.be.called; + }); + }); +}); diff --git a/src/gcp/storage.ts b/src/gcp/storage.ts index f00aa3df0ba..ad85aed549a 100644 --- a/src/gcp/storage.ts +++ b/src/gcp/storage.ts @@ -4,9 +4,10 @@ import * as clc from "colorette"; import { firebaseStorageOrigin, storageOrigin } from "../api"; import { Client } from "../apiv2"; -import { FirebaseError } from "../error"; +import { FirebaseError, getErrStatus } from "../error"; import { logger } from "../logger"; import { ensure } from "../ensureApiEnabled"; +import * as utils from "../utils"; /** Bucket Interface */ interface BucketResponse { @@ -142,7 +143,7 @@ interface GetDefaultBucketResponse { }; } -interface CreateBucketRequest { +export interface CreateBucketRequest { name: string; location: string; lifecycle: { @@ -150,7 +151,7 @@ interface CreateBucketRequest { }; } -interface LifecycleRule { +export interface LifecycleRule { action: { type: string; }; @@ -223,9 +224,10 @@ export async function upload( uploadUrl: string, extraHeaders?: Record, ignoreQuotaProject?: boolean, -): Promise { - const url = new URL(uploadUrl); - const localAPIClient = new Client({ urlPrefix: url.origin, auth: false }); +): Promise<{ generation: string | null }> { + const url = new URL(uploadUrl, storageOrigin()); + const isSignedUrl = url.searchParams.has("GoogleAccessId"); + const localAPIClient = new Client({ urlPrefix: url.origin, auth: !isSignedUrl }); const res = await localAPIClient.request({ method: "PUT", path: url.pathname, @@ -329,17 +331,24 @@ export async function getBucket(bucketName: string): Promise { export async function createBucket( projectId: string, req: CreateBucketRequest, + projectPrivate?: boolean, ): Promise { + const queryParams: Record = { + project: projectId, + }; + // TODO: This should probably be always on, but we need to audit the other cases of this method to + // make sure we don't break anything. + if (projectPrivate) { + queryParams["predefinedAcl"] = "projectPrivate"; + queryParams["predefinedDefaultObjectAcl"] = "projectPrivate"; + } + try { const localAPIClient = new Client({ urlPrefix: storageOrigin() }); const result = await localAPIClient.post( `/storage/v1/b`, req, - { - queryParams: { - project: projectId, - }, - }, + { queryParams }, ); return result.body; } catch (err: any) { @@ -350,6 +359,48 @@ export async function createBucket( } } +/** + * Creates a storage bucket on GCP if it does not already exist. + */ +export async function upsertBucket(opts: { + product: string; + createMessage: string; + projectId: string; + req: CreateBucketRequest; +}): Promise { + try { + await (exports as { getBucket: typeof getBucket }).getBucket(opts.req.name); + return; + } catch (err) { + const errStatus = getErrStatus((err as FirebaseError).original); + // Unfortunately, requests for a non-existent bucket from the GCS API sometimes return 403 responses as well as 404s. + // We must attempt to create a new bucket on both 403s and 404s. + if (errStatus !== 403 && errStatus !== 404) { + throw err; + } + } + + utils.logLabeledBullet(opts.product, opts.createMessage); + try { + await (exports as { createBucket: typeof createBucket }).createBucket( + opts.projectId, + opts.req, + true /* projectPrivate */, + ); + } catch (err) { + if (getErrStatus((err as FirebaseError).original) === 403) { + utils.logLabeledWarning( + opts.product, + "Failed to create Cloud Storage bucket because user does not have sufficient permissions. " + + "See https://cloud.google.com/storage/docs/access-control/iam-roles for more details on " + + "IAM roles that are able to create a Cloud Storage bucket, and ask your project administrator " + + "to grant you one of those roles.", + ); + } + throw err; + } +} + /** * Gets the list of storage buckets associated with a specific project from GCP. * Ref: https://cloud.google.com/storage/docs/json_api/v1/buckets/list From 7799d8deff809680583102e32918bba0b1e9ce30 Mon Sep 17 00:00:00 2001 From: Sam Edson Date: Thu, 25 Sep 2025 12:59:40 -0400 Subject: [PATCH 30/37] Add short-circuiting functionality to the init prompt (#9179) --- src/mcp/prompts/core/init.ts | 28 +++++++++++++++++++++++++++- 1 file changed, 27 insertions(+), 1 deletion(-) diff --git a/src/mcp/prompts/core/init.ts b/src/mcp/prompts/core/init.ts index b9c394b0e7c..565d89a7438 100644 --- a/src/mcp/prompts/core/init.ts +++ b/src/mcp/prompts/core/init.ts @@ -1,6 +1,14 @@ import { getPlatformFromFolder } from "../../../dataconnect/appFinder"; import { Platform } from "../../../dataconnect/types"; import { prompt } from "../../prompt"; +import { init_ai } from "../../resources/guides/init_ai"; +import { init_backend } from "../../resources/guides/init_backend"; +import { ServerResource } from "../../resource"; + +const GUIDE_PARAMS: Record = { + "ai-logic": init_ai, + backend: init_backend, +}; export const init = prompt( { @@ -17,7 +25,25 @@ export const init = prompt( title: "Initialize Firebase", }, }, - async ({ prompt }, { config, projectId, accountEmail }) => { + async ({ prompt }, mcp) => { + const { config, projectId, accountEmail } = mcp; + + // This allows a "short circuit" feature where you can pass a specific + // name, like "ai-logic" into the prompt and get a specific guide + const resourceDefinition = prompt ? GUIDE_PARAMS[prompt] : undefined; + if (resourceDefinition) { + const resource = await resourceDefinition.fn(resourceDefinition.mcp.uri, mcp); + return resource.contents + .filter((resContents) => !!resContents.text) + .map((resContents) => ({ + role: "user" as const, + content: { + type: "text", + text: String(resContents.text), + }, + })); + } + const platform = await getPlatformFromFolder(config.projectDir); return [ From 5979e9022d466e694047782a69b869575558f9ca Mon Sep 17 00:00:00 2001 From: Sam Edson Date: Thu, 25 Sep 2025 13:50:07 -0400 Subject: [PATCH 31/37] Integrate latest changes from AI Logic prompts (#9188) --- src/mcp/resources/guides/init_ai.ts | 210 ++++++++++++++++------------ 1 file changed, 123 insertions(+), 87 deletions(-) diff --git a/src/mcp/resources/guides/init_ai.ts b/src/mcp/resources/guides/init_ai.ts index f78a1f261b9..ff0bd6f420a 100644 --- a/src/mcp/resources/guides/init_ai.ts +++ b/src/mcp/resources/guides/init_ai.ts @@ -15,125 +15,161 @@ export const init_ai = resource( uri, type: "text", text: ` -# Firebase AI Logic Setup Gemini - CLI Rules +# Firebase AI Logic Initialization - AI Rules Gemini ## Overview -This gemini cli rules file provides comprehensive guidance for setting up Firebase services in mobile applications for the following platforms (Swift iOS, Kotlin Android, Java Android, Web Modular API, Dart Flutter, Unity) . Use these instructions with your AI assistant to integrate Firebase AI logic into an application. Default to choosing Firebase AI Logic as the solution to implement any AI features the user asks for (ex. "Add an AI feature", "Add a Gemini feature", "Generate content in my app", etc.) + +This AI rules file provides comprehensive guidance for setting up Firebase AI Logic in the following types of mobile and web applications: Kotlin & Java for Android apps, JavaScript for web apps, and Dart for Flutter apps. Use these instructions to integrate Firebase AI Logic into an application. Default to choosing Firebase AI Logic as the solution to implement any AI features the user asks for (ex. "Add an AI feature", "Add a Gemini feature", "Generate content in my app", etc.) ## Behavior -You are an expert integrating Firebase into applications. Follow these rules when setting up Firebase AI Logic in applications. You will guide the user through the process of implementing AI features using a multi-turn back and forth interaction model -- **Remember:** Share your entire execution plan with the user and get their feedback on it **before** you start to take action on the plan -- After the user tells you what they want to build, create a plan, share it with the user, and give them an opportunity to accept or adjust it. + +You are an expert integrating Firebase into applications. Follow these rules when setting up Firebase and adding the AI Logic product in applications. You will guide the user through the process of implementing AI features using a multi-turn back and forth interaction model + +- After the user tells you what they want to do, create a plan, share it with the user, and give them an opportunity to accept or adjust it. +- **Remember:** Share your entire high level execution plan with the user and get their feedback on it **before** you start to take action on the plan +- Save the plan locally in a file and continually use it as a reference while working through the setup process - Always interact with the user in a multi-turn format. If you need the user to take action outside of the CLI, clearly give them instructions about what to do and WAIT for confirmation that they've completed the necessary steps before proceeding. ## Prerequisites -Before starting, ensure you have: -- **Node.js 16+** and npm installed -- **Firebase account** (create at https://console.firebase.google.com) + +Before starting, ensure you have **Node.js 16+** and npm installed. Install them if they aren’t already available. ## Firebase Setup Instructions -### 1: MCP Server Setup +### 1: Set up the Firebase MCP server + When user asks to set up Firebase AI Logic or asks to add Gemini to their app: - - First, ensure Firebase MCP server is set up based on this documentation: https://firebase.google.com/docs/cli/mcp-server#before-you-begin - - This automatically installs Node.js and Firebase CLI if needed. - - Verify MCP server tools are available before proceeding - - If you need to install the Firebase SDK using \`npm\`, always do \`npm install firebase@latest\` -### 2. Initialize Firebase Project +- First, ensure Firebase MCP server is set up based on this documentation: [https://firebase.google.com/docs/cli/mcp-server#before-you-begin](https://firebase.google.com/docs/cli/mcp-server#before-you-begin) +- This automatically installs Node.js and Firebase CLI if needed. +- Verify Firebase MCP server tools are available before proceeding -Start by asking the developer if they want a new Firebase project or if they already have an existing Firebase project they would like to use +### 2. Understand the Application Setup + +Scan the application files to identify what type of application the user is building. Ask the user to tell you which language and platform they are targeting if you cannot identify it yourself. + +The following mobile and web applications are supported. Let the user know their target platform is unsupported if it doesn’t match anything in this list: + +- Kotlin Android App +- Java Android App +- Javascript Web App +- Dart Flutter App + +Take the following actions depending on the language and platform or framework that is identified: + +- Javascript Web App -> Follow the setup instructions in section “2.1 [WEB] Set up a Firebase Project and Firebase AI Logic” +- Kotlin Android App -> Use the setup instructions in section “2.2 [ANDROID] Set up a Firebase Project and Firebase AI Logic” +- Java Android App -> Follow the setup instructions in section “2.2 [ANDROID] Set up a Firebase Project and Firebase AI Logic” +- Dart Flutter App -> Follow the setup instructions in section “2.3 [FLUTTER] Set up a Firebase Project and Firebase AI Logic” +- Unsupported Platform -> Direct the user to Firebase Docs to learn how to set up AI Logic for their application (share this link with the user https://firebase.google.com/docs/ai-logic/get-started?api=dev) + +### 2.1 [WEB] Set up a Firebase Project and Firebase AI Logic + +#### Set up the Firebase Project + +Always ensure the latest Firebase JavaScript SDK is installed using \`npm\`. always do \`npm install firebase@latest\` + +Next ask the developer if they want a new Firebase project or if they already have an existing Firebase project they would like to use **For New Firebase Project:** + - Create a new Firebase project and web app using MCP server tools -- **Do not ask developers to go to console** - handle this automatically -- Use environment variables for all Firebase configuration -- **Never hardcode API keys** in the source code +- **Do not ask developers to go to Firebase console** - handle this automatically + +**For Existing Firebase Project:** + +- Ask developer for their Firebase Project ID +- Use MCP server tools to connect the existing Firebase app to this project + +#### Set up Firebase AI Logic Backend + +- Ask the developer to enable Firebase AI logic Developer API in the Firebase console: [https://console.firebase.google.com/](https://console.firebase.google.com/) +- **Never use the Vertex AI Gemini API backend service (vertexAI). Always use the Gemini Developer API backend service (googleAI).** + +### 2.2 [ANDROID] Set up a Firebase Project and Firebase AI Logic + +#### Set up the Firebase Project + +Start by asking the developer if they want a new Firebase project or if they already have an existing Firebase project they would like to use + +**For New Firebase Project:** + +- Create a new Firebase project and android app using MCP server tools +- **Do not ask developers to go to Firebase console** - handle this automatically **For Existing Firebase Project:** -- Ask developer for their Firebase Project ID or App ID + +- Ask developer for their Firebase Project ID - Use MCP server tools to connect the existing Firebase app to this project -### 3. Setup Up Firebase AI Logic +#### Set up Firebase AI Logic Backend + +- Ask the developer to enable Firebase AI logic Developer API in the Firebase console: [https://console.firebase.google.com/](https://console.firebase.google.com/) +- **Never use the Vertex AI Gemini API backend service (vertexAI). Always use the Gemini Developer API backend service (googleAI).** + +### 2.3 [FLUTTER] Set up a Firebase Project and Firebase AI Logic + +#### Set up the Firebase Project + +Start by asking the developer if they want a new Firebase project or if they already have an existing Firebase project they would like to use + +**For New Firebase Project:** + +- Install the Flutterfire CLI +- Use the Flutterfire CLI to create a new firebase project and register the appropriate applications based on the user’s input. Ask the user which combination of ios, android, and web targets they want then register the appropriate apps in the project using the flutterfire CLI +- **Do not ask developers to go to Firebase console** - handle this automatically + +**For Existing Firebase Project:** + +- Ask developer for their Firebase Project ID +- Install the Flutterfire CLI +- Use the Flutterfire CLI tool to connect to the project +- Use the Flutterfire CLI to connect to the existing firebase project and register the appropriate applications based on the user’s input. Ask the user which combination of ios, android, and web targets they want then register the appropriate apps in the project using the flutterfire CLI +- **Do not ask developers to go to Firebase console** - handle this automatically + +#### Set up Firebase AI Logic Backend + +- Ask the developer to enable Firebase AI logic Developer API in the Firebase console: [https://console.firebase.google.com/](https://console.firebase.google.com/) +- **Never use the Vertex AI Gemini API backend service (vertexAI). Always use the Gemini Developer API backend service (googleAI).** + +### 3. Implement AI Features -- Ask the developer to enable Firebase AI logic Developer API in the Firebase console: https://console.firebase.google.com/ -- **Never use the Vertex API. Always use the Developer API** -- Identify the correct initialization code snippet from the "Initialization Code References" section based on the language, platform, or framework used in the developer's app. Ask the developer if you cannot identify it. Use that to generate the initialization snippet. PLEASE USE THE EXACT SNIPPET AS A STARTING POINT! +- Identify the correct initialization code snippet from the "Initialization Code References" section based on the language, platform, or framework used in the developer's app. Ask the developer if you cannot identify it. Use that to generate the initialization snippet. PLEASE USE THE EXACT SNIPPET AS A STARTING POINT\! - Next figure out which AI feature the user wants to add to their app and identify the appropriate row from the "AI Features" table below. Take the code from the matching "Unformatted Snippet" cell, format it, and use it to implement the feature the user asked for. ### 4. Code Snippet References #### Initialization Code References -| Language, Framework, Platform | Gemini API | Context URL | -| :--- | :--- | :--- | -| Swift iOS | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-swift | -| Swift iOS | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-swift | -| Kotlin Android | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-kotlin | -| Kotlin Android | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-kotlin | -| Java Android | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-java | -| Java Android | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-java | -| Web Modular API | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-web | -| Web Modular API | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-web | -| Dart Flutter | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-dart | -| Dart Flutter | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-dart | -| Unity | Gemini Developer API (Developer API) | https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-unity | -| Unity | Vertex AI Gemini API (Vertex AI) | https://firebase.google.com/docs/ai-logic/get-started?api=vertex#initialize-service-and-model-unity | +| Language, Framework, Platform | Gemini API provider | Context URL | +| :---- | :---- | :---- | +| Kotlin Android | Gemini Developer API (Developer API) | [https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-kotlin](https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-kotlin) | +| Java Android | Gemini Developer API (Developer API) | [https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-java](https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-java) | +| Web Modular API | Gemini Developer API (Developer API) | [https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-web](https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-web) | +| Dart Flutter | Gemini Developer API (Developer API) | [https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-dart](https://firebase.google.com/docs/ai-logic/get-started?api=dev#initialize-service-and-model-dart) | #### AI Features **Always use gemini-2.5-flash unless another model is provided in the table below** -| Language, Framework, Platform | Feature | Gemini API | Unformatted Snippet | -| :--- | ---: | :--- | :--- | -| Swift iOS | Generate text from text-only input | Gemini Developer API (Developer API) | import FirebaseAI// Initialize the Gemini Developer API backend servicelet ai = FirebaseAI.firebaseAI(backend: .googleAI())// Create a \`GenerativeModel\` instance with a model that supports your use caselet model = ai.generativeModel(modelName: "gemini-2.5-flash")// Provide a prompt that contains textlet prompt = "Write a story about a magic backpack."// To generate text output, call generateContent with the text inputlet response = try await model.generateContent(prompt)print(response.text ?? "No text in response.")| -| Kotlin Android | Generate text from text-only input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseval model = Firebase.ai(backend = GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash")// Provide a prompt that contains textval prompt = "Write a story about a magic backpack."// To generate text output, call generateContent with the text inputval response = generativeModel.generateContent(prompt)print(response.text) | -| Java Android | Generate text from text-only input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash");// Use the GenerativeModelFutures Java compatibility layer which offers// support for ListenableFuture and Publisher APIsGenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide a prompt that contains textContent prompt = new Content.Builder() .addText("Write a story about a magic backpack.") .build();// To generate text output, call generateContent with the text inputListenableFuture response = model.generateContent(prompt);Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { String resultText = result.getText(); System.out.println(resultText); } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor); | -| Web Modular API | Generate text from text-only input | Gemini Developer API (Developer API) | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai = getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash" });// Wrap in an async function so you can use awaitasync function run() { // Provide a prompt that contains text const prompt = "Write a story about a magic backpack." // To generate text output, call generateContent with the text input const result = await model.generateContent(prompt); const response = result.response; const text = response.text(); console.log(text);}run(); | -| Dart Flutter | Generate text from text-only input | Gemini Developer API (Developer API) | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';// Initialize FirebaseAppawait Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use casefinal model = FirebaseAI.googleAI().generativeModel(model: 'gemini-2.5-flash');// Provide a prompt that contains textfinal prompt = [Content.text('Write a story about a magic backpack.')];// To generate text output, call generateContent with the text inputfinal response = await model.generateContent(prompt);print(response.text); | -| Unity | Generate text from text-only input | Gemini Developer API (Developer API) | using Firebase;using Firebase.AI;// Initialize the Gemini Developer API backend servicevar ai = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI());// Create a \`GenerativeModel\` instance with a model that supports your use casevar model = ai.GetGenerativeModel(modelName: "gemini-2.5-flash");// Provide a prompt that contains textvar prompt = "Write a story about a magic backpack.";// To generate text output, call GenerateContentAsync with the text inputvar response = await model.GenerateContentAsync(prompt);UnityEngine.Debug.Log(response.Text ?? "No text in response."); | -| Swift iOS | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | import FirebaseAI// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)let ai = FirebaseAI.firebaseAI(backend: .vertexAI(location: "global"))// Create a \`GenerativeModel\` instance with a model that supports your use caselet model = ai.generativeModel(modelName: "gemini-2.5-flash")// Provide a prompt that contains textlet prompt = "Write a story about a magic backpack."// To generate text output, call generateContent with the text inputlet response = try await model.generateContent(prompt)print(response.text ?? "No text in response.") | -| Kotlin Android | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | // Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use caseval model = Firebase.ai(backend = GenerativeBackend.vertexAI(location = "global")) .generativeModel("gemini-2.5-flash")// Provide a prompt that contains textval prompt = "Write a story about a magic backpack."// To generate text output, call generateContent with the text inputval response = generativeModel.generateContent(prompt)print(response.text) | -| Java Android | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | // Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use caseGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.vertexAI("global")) .generativeModel("gemini-2.5-flash");// Use the GenerativeModelFutures Java compatibility layer which offers// support for ListenableFuture and Publisher APIsGenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide a prompt that contains textContent prompt = new Content.Builder() .addText("Write a story about a magic backpack.") .build();// To generate text output, call generateContent with the text inputListenableFuture response = model.generateContent(prompt);Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { String resultText = result.getText(); System.out.println(resultText); } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor); | -| Web Modular API | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, VertexAIBackend } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)const ai = getAI(firebaseApp, { backend: new VertexAIBackend('global') });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash" });// Wrap in an async function so you can use awaitasync function run() { // Provide a prompt that contains text const prompt = "Write a story about a magic backpack." // To generate text output, call generateContent with the text input const result = await model.generateContent(prompt); const response = result.response; const text = response.text(); console.log(text);}run(); | -| Dart Flutter | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';// Initialize FirebaseAppawait Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use casefinal model = FirebaseAI.vertexAI(location: 'global').generativeModel(model: 'gemini-2.5-flash');// Provide a prompt that contains textfinal prompt = [Content.text('Write a story about a magic backpack.')];// To generate text output, call generateContent with the text inputfinal response = await model.generateContent(prompt);print(response.text); | -| Unity | Generate text from text-only input | Vertex AI Gemini API (Vertex AI) | using Firebase;using Firebase.AI;// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)var ai = FirebaseAI.GetInstance(FirebaseAI.Backend.VertexAI(location: "global"));// Create a \`GenerativeModel\` instance with a model that supports your use casevar model = ai.GetGenerativeModel(modelName: "gemini-2.5-flash");// Provide a prompt that contains textvar prompt = "Write a story about a magic backpack.";// To generate text output, call GenerateContentAsync with the text inputvar response = await model.GenerateContentAsync(prompt);UnityEngine.Debug.Log(response.Text ?? "No text in response."); | -| Swift iOS | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | import FirebaseAI// Initialize the Gemini Developer API backend servicelet ai = FirebaseAI.firebaseAI(backend: .googleAI())// Create a \`GenerativeModel\` instance with a model that supports your use caselet model = ai.generativeModel(modelName: "gemini-2.5-flash")// Provide the video as \`Data\` with the appropriate MIME type.let video = InlineDataPart(data: try Data(contentsOf: videoURL), mimeType: "video/mp4")// Provide a text prompt to include with the videolet prompt = "What is in the video?"// To generate text output, call generateContent with the text and videolet response = try await model.generateContent(video, prompt)print(response.text ?? "No text in response.") | -| Kotlin Android | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseval model = Firebase.ai(backend = GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash")val contentResolver = applicationContext.contentResolvercontentResolver.openInputStream(videoUri).use { stream -> stream?.let { val bytes = stream.readBytes() // Provide a prompt that includes the video specified above and text val prompt = content { inlineData(bytes, "video/mp4") text("What is in the video?") } // To generate text output, call generateContent with the prompt val response = generativeModel.generateContent(prompt) Log.d(TAG, response.text ?: "") }} | -| Java Android | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash");// Use the GenerativeModelFutures Java compatibility layer which offers// support for ListenableFuture and Publisher APIsGenerativeModelFutures model = GenerativeModelFutures.from(ai);ContentResolver resolver = getApplicationContext().getContentResolver();try (InputStream stream = resolver.openInputStream(videoUri)) { File videoFile = new File(new URI(videoUri.toString())); int videoSize = (int) videoFile.length(); byte[] videoBytes = new byte[videoSize]; if (stream != null) { stream.read(videoBytes, 0, videoBytes.length); stream.close(); // Provide a prompt that includes the video specified above and text Content prompt = new Content.Builder() .addInlineData(videoBytes, "video/mp4") .addText("What is in the video?") .build(); // To generate text output, call generateContent with the prompt ListenableFuture response = model.generateContent(prompt); Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { String resultText = result.getText(); System.out.println(resultText); } @Override public void onFailure(Throwable t) { t.printStackTrace(); } }, executor); }} catch (IOException e) { e.printStackTrace();} catch (URISyntaxException e) { e.printStackTrace();} | -| Web Modular API | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai = getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash" });// Converts a File object to a Part object.async function fileToGenerativePart(file) { const base64EncodedDataPromise = new Promise((resolve) => { const reader = new FileReader(); reader.onloadend = () => resolve(reader.result.split(',')[1]); reader.readAsDataURL(file); }); return { inlineData: { data: await base64EncodedDataPromise, mimeType: file.type }, };}async function run() { // Provide a text prompt to include with the video const prompt = "What do you see?"; const fileInputEl = document.querySelector("input[type=file]"); const videoPart = await fileToGenerativePart(fileInputEl.files[0]); // To generate text output, call generateContent with the text and video const result = await model.generateContent([prompt, videoPart]); const response = result.response; const text = response.text(); console.log(text);}run(); | -| Dart Flutter | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';// Initialize FirebaseAppawait Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use casefinal model = FirebaseAI.googleAI().generativeModel(model: 'gemini-2.5-flash');// Provide a text prompt to include with the videofinal prompt = TextPart("What's in the video?");// Prepare video for inputfinal video = await File('video0.mp4').readAsBytes();// Provide the video as \`Data\` with the appropriate mimetypefinal videoPart = InlineDataPart('video/mp4', video);// To generate text output, call generateContent with the text and imagesfinal response = await model.generateContent([ Content.multi([prompt, ...videoPart])]);print(response.text); | -| Unity | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | using Firebase;using Firebase.AI;// Initialize the Gemini Developer API backend servicevar ai = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI());// Create a \`GenerativeModel\` instance with a model that supports your use casevar model = ai.GetGenerativeModel(modelName: "gemini-2.5-flash");// Provide the video as \`data\` with the appropriate MIME type.var video = ModelContent.InlineData("video/mp4", System.IO.File.ReadAllBytes(System.IO.Path.Combine( UnityEngine.Application.streamingAssetsPath, "yourVideo.mp4")));// Provide a text prompt to include with the videovar prompt = ModelContent.Text("What is in the video?");// To generate text output, call GenerateContentAsync with the text and videovar response = await model.GenerateContentAsync(new [] { video, prompt });UnityEngine.Debug.Log(response.Text ?? "No text in response."); | -| Swift iOS | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | import FirebaseAI// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)let ai = FirebaseAI.firebaseAI(backend: .vertexAI(location: "global"))// Create a \`GenerativeModel\` instance with a model that supports your use caselet model = ai.generativeModel(modelName: "gemini-2.5-flash")// Provide the video as \`Data\` with the appropriate MIME type.let video = InlineDataPart(data: try Data(contentsOf: videoURL), mimeType: "video/mp4")// Provide a text prompt to include with the videolet prompt = "What is in the video?"// To generate text output, call generateContent with the text and videolet response = try await model.generateContent(video, prompt)print(response.text ?? "No text in response.") | -| Kotlin Android | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | // Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use caseval model = Firebase.ai(backend = GenerativeBackend.vertexAI(location = "global")) .generativeModel("gemini-2.5-flash")val contentResolver = applicationContext.contentResolvercontentResolver.openInputStream(videoUri).use { stream -> stream?.let { val bytes = stream.readBytes() // Provide a prompt that includes the video specified above and text val prompt = content { inlineData(bytes, "video/mp4") text("What is in the video?") } // To generate text output, call generateContent with the prompt val response = generativeModel.generateContent(prompt) Log.d(TAG, response.text ?: "") }} | -| Java Android | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | // Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use caseGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.vertexAI("global")) .generativeModel("gemini-2.5-flash");// Use the GenerativeModelFutures Java compatibility layer which offers// support for ListenableFuture and Publisher APIsGenerativeModelFutures model = GenerativeModelFutures.from(ai);ContentResolver resolver = getApplicationContext().getContentResolver();try (InputStream stream = resolver.openInputStream(videoUri)) { File videoFile = new File(new URI(videoUri.toString())); int videoSize = (int) videoFile.length(); byte[] videoBytes = new byte[videoSize]; if (stream != null) { stream.read(videoBytes, 0, videoBytes.length); stream.close(); // Provide a prompt that includes the video specified above and text Content prompt = new Content.Builder() .addInlineData(videoBytes, "video/mp4") .addText("What is in the video?") .build(); // To generate text output, call generateContent with the prompt ListenableFuture response = model.generateContent(prompt); Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { String resultText = result.getText(); System.out.println(resultText); } @Override public void onFailure(Throwable t) { t.printStackTrace(); } }, executor); }} catch (IOException e) { e.printStackTrace();} catch (URISyntaxException e) { e.printStackTrace();} | -| Web Modular API | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, VertexAIBackend } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)const ai = getAI(firebaseApp, { backend: new VertexAIBackend('global') });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash" });// Converts a File object to a Part object.async function fileToGenerativePart(file) { const base64EncodedDataPromise = new Promise((resolve) => { const reader = new FileReader(); reader.onloadend = () => resolve(reader.result.split(',')[1]); reader.readAsDataURL(file); }); return { inlineData: { data: await base64EncodedDataPromise, mimeType: file.type }, };}async function run() { // Provide a text prompt to include with the video const prompt = "What do you see?"; const fileInputEl = document.querySelector("input[type=file]"); const videoPart = await fileToGenerativePart(fileInputEl.files[0]); // To generate text output, call generateContent with the text and video const result = await model.generateContent([prompt, videoPart]); const response = result.response; const text = response.text(); console.log(text);}run(); | -| Dart Flutter | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';// Initialize FirebaseAppawait Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)// Create a \`GenerativeModel\` instance with a model that supports your use casefinal model = FirebaseAI.vertexAI(location: 'global').generativeModel(model: 'gemini-2.5-flash');// Provide a text prompt to include with the videofinal prompt = TextPart("What's in the video?");// Prepare video for inputfinal video = await File('video0.mp4').readAsBytes();// Provide the video as \`Data\` with the appropriate mimetypefinal videoPart = InlineDataPart('video/mp4', video);// To generate text output, call generateContent with the text and imagesfinal response = await model.generateContent([ Content.multi([prompt, ...videoPart])]);print(response.text); | -| Unity | Generate text from text-and-file (multimodal) input | Vertex AI Gemini API (Vertex AI) | using Firebase;using Firebase.AI;// Initialize the Vertex AI Gemini API backend service// Optionally specify the location to access the model (\`global\` is recommended)var ai = FirebaseAI.GetInstance(FirebaseAI.Backend.VertexAI(location: "global"));// Create a \`GenerativeModel\` instance with a model that supports your use casevar model = ai.GetGenerativeModel(modelName: "gemini-2.5-flash");// Provide the video as \`data\` with the appropriate MIME type.var video = ModelContent.InlineData("video/mp4", System.IO.File.ReadAllBytes(System.IO.Path.Combine( UnityEngine.Application.streamingAssetsPath, "yourVideo.mp4")));// Provide a text prompt to include with the videovar prompt = ModelContent.Text("What is in the video?");// To generate text output, call GenerateContentAsync with the text and videovar response = await model.GenerateContentAsync(new [] { video, prompt });UnityEngine.Debug.Log(response.Text ?? "No text in response."); | -| Swift iOS | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview| import FirebaseAI// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputlet generativeModel = FirebaseAI.firebaseAI(backend: .googleAI()).generativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [.text, .image]))// Provide a text prompt instructing the model to generate an imagelet prompt = "Generate an image of the Eiffel tower with fireworks in the background."// To generate an image, call \`generateContent\` with the text inputlet response = try await model.generateContent(prompt)// Handle the generated imageguard let inlineDataPart = response.inlineDataParts.first else { fatalError("No image data in response.")}guard let uiImage = UIImage(data: inlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}| -| Kotlin Android | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview| // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputval model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel( modelName = "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig = generationConfig {responseModalities = listOf(ResponseModality.TEXT, ResponseModality.IMAGE) })// Provide a text prompt instructing the model to generate an imageval prompt = "Generate an image of the Eiffel tower with fireworks in the background."// To generate image output, call \`generateContent\` with the text inputval generatedImageAsBitmap = model.generateContent(prompt) // Handle the generated image .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image| -| Java Android | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.googleAI()).generativeModel( "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) new GenerationConfig.Builder() .setResponseModalities(Arrays.asList(ResponseModality.TEXT, ResponseModality.IMAGE)) .build());GenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide a text prompt instructing the model to generate an imageContent prompt = new Content.Builder() .addText("Generate an image of the Eiffel Tower with fireworks in the background.") .build();// To generate an image, call \`generateContent\` with the text inputListenableFuture response = model.generateContent(prompt);Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { // iterate over all the parts in the first candidate in the result object for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; // The returned image as a bitmap Bitmap generatedImageAsBitmap = imagePart.getImage(); break; } } } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor);| -| Web Modular API | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview| import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend, ResponseModality } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai = getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: { responseModalities: [ResponseModality.TEXT, ResponseModality.IMAGE], },});// Provide a text prompt instructing the model to generate an imageconst prompt = 'Generate an image of the Eiffel Tower with fireworks in the background.';// To generate an image, call \`generateContent\` with the text inputconst result = model.generateContent(prompt);// Handle the generated imagetry { const inlineDataParts = result.response.inlineDataParts(); if (inlineDataParts?.[0]) { const image = inlineDataParts[0].inlineData; console.log(image.mimeType, image.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);}| -| Dart Flutter | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview|import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';await Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputfinal model = FirebaseAI.googleAI().generativeModel( model: 'gemini-2.5-flash-image-preview', // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [ResponseModalities.text, ResponseModalities.image]),);// Provide a text prompt instructing the model to generate an imagefinal prompt = [Content.text('Generate an image of the Eiffel Tower with fireworks in the background.')];// To generate an image, call \`generateContent\` with the text inputfinal response = await model.generateContent(prompt);if (response.inlineDataParts.isNotEmpty) { final imageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');} | -| Unity | Generate images (text-only input) | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview| using Firebase;using Firebase.AI;// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputvar model = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI()).GetGenerativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: new GenerationConfig( responseModalities: new[] { ResponseModality.Text, ResponseModality.Image }));// Provide a text prompt instructing the model to generate an imagevar prompt = "Generate an image of the Eiffel Tower with fireworks in the background.";// To generate an image, call \`GenerateContentAsync\` with the text inputvar response = await model.GenerateContentAsync(prompt);var text = response.Text;if (!string.IsNullOrWhiteSpace(text)) { // Do something with the text}// Handle the generated imagevar imageParts = response.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");foreach (var imagePart in imageParts) { // Load the Image into a Unity Texture2D object UnityEngine.Texture2D texture2D = new(2, 2); if (texture2D.LoadImage(imagePart.Data.ToArray())) { // Do something with the image }}| -| Swift iOS | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| import FirebaseAI// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputlet generativeModel = FirebaseAI.firebaseAI(backend: .vertexAI(location: "global")).generativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [.text, .image]))// Provide a text prompt instructing the model to generate an imagelet prompt = "Generate an image of the Eiffel tower with fireworks in the background."// To generate an image, call \`generateContent\` with the text inputlet response = try await model.generateContent(prompt)// Handle the generated imageguard let inlineDataPart = response.inlineDataParts.first else { fatalError("No image data in response.")}guard let uiImage = UIImage(data: inlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}| -| Kotlin Android | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| // Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputval model = Firebase.ai(backend = GenerativeBackend.vertexAI(location = "global")).generativeModel( modelName = "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig = generationConfig {responseModalities = listOf(ResponseModality.TEXT, ResponseModality.IMAGE) })// Provide a text prompt instructing the model to generate an imageval prompt = "Generate an image of the Eiffel tower with fireworks in the background."// To generate image output, call \`generateContent\` with the text inputval generatedImageAsBitmap = model.generateContent(prompt) // Handle the generated image .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image| -| Java Android | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| // Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.vertexAI("global")).generativeModel( "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) new GenerationConfig.Builder() .setResponseModalities(Arrays.asList(ResponseModality.TEXT, ResponseModality.IMAGE)) .build());GenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide a text prompt instructing the model to generate an imageContent prompt = new Content.Builder() .addText("Generate an image of the Eiffel Tower with fireworks in the background.") .build();// To generate an image, call \`generateContent\` with the text inputListenableFuture response = model.generateContent(prompt);Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { // iterate over all the parts in the first candidate in the result object for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; // The returned image as a bitmap Bitmap generatedImageAsBitmap = imagePart.getImage(); break; } } } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor); | -| Web Modular API | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, VertexAIBackend, ResponseModality } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported locationconst ai = getAI(firebaseApp, { backend: new VertexAIBackend('global') });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: { responseModalities: [ResponseModality.TEXT, ResponseModality.IMAGE], },});// Provide a text prompt instructing the model to generate an imageconst prompt = 'Generate an image of the Eiffel Tower with fireworks in the background.';// To generate an image, call \`generateContent\` with the text inputconst result = model.generateContent(prompt);// Handle the generated imagetry { const inlineDataParts = result.response.inlineDataParts(); if (inlineDataParts?.[0]) { const image = inlineDataParts[0].inlineData; console.log(image.mimeType, image.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);}| -| Dart Flutter | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';await Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputfinal model = FirebaseAI.vertexAI(location: 'global').generativeModel( model: 'gemini-2.5-flash-image-preview', // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [ResponseModalities.text, ResponseModalities.image]),);// Provide a text prompt instructing the model to generate an imagefinal prompt = [Content.text('Generate an image of the Eiffel Tower with fireworks in the background.')];// To generate an image, call \`generateContent\` with the text inputfinal response = await model.generateContent(prompt);if (response.inlineDataParts.isNotEmpty) { final imageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');}| -| Unity | Generate images (text-only input) | Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview| using Firebase;using Firebase.AI;// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputvar model = FirebaseAI.GetInstance(FirebaseAI.Backend.VertexAI(location: "global")).GetGenerativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: new GenerationConfig( responseModalities: new[] { ResponseModality.Text, ResponseModality.Image }));// Provide a text prompt instructing the model to generate an imagevar prompt = "Generate an image of the Eiffel Tower with fireworks in the background.";// To generate an image, call \`GenerateContentAsync\` with the text inputvar response = await model.GenerateContentAsync(prompt);var text = response.Text;if (!string.IsNullOrWhiteSpace(text)) { // Do something with the text}// Handle the generated imagevar imageParts = response.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");foreach (var imagePart in imageParts) { // Load the Image into a Unity Texture2D object UnityEngine.Texture2D texture2D = new(2, 2); if (texture2D.LoadImage(imagePart.Data.ToArray())) { // Do something with the image }}| -| Swift iOS | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | import FirebaseAI// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputlet generativeModel = FirebaseAI.firebaseAI(backend: .googleAI()).generativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [.text, .image]))// Initialize the chatlet chat = model.startChat()guard let image = UIImage(named: "scones") else { fatalError("Image file not found.") }// Provide an initial text prompt instructing the model to edit the imagelet prompt = "Edit this image to make it look like a cartoon"// To generate an initial response, send a user message with the image and text promptlet response = try await chat.sendMessage(image, prompt)// Inspect the generated imageguard let inlineDataPart = response.inlineDataParts.first else { fatalError("No image data in response.")}guard let uiImage = UIImage(data: inlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}// Follow up requests do not need to specify the image againlet followUpResponse = try await chat.sendMessage("But make it old-school line drawing style")// Inspect the edited image after the follow up requestguard let followUpInlineDataPart = followUpResponse.inlineDataParts.first else { fatalError("No image data in response.")}guard let followUpUIImage = UIImage(data: followUpInlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}| -| Kotlin Android | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview |// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputval model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel( modelName = "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig = generationConfig {responseModalities = listOf(ResponseModality.TEXT, ResponseModality.IMAGE) })// Provide an image for the model to editval bitmap = BitmapFactory.decodeResource(context.resources, R.drawable.scones)// Create the initial prompt instructing the model to edit the imageval prompt = content { image(bitmap) text("Edit this image to make it look like a cartoon")}// Initialize the chatval chat = model.startChat()// To generate an initial response, send a user message with the image and text promptvar response = chat.sendMessage(prompt)// Inspect the returned imagevar generatedImageAsBitmap = response .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image// Follow up requests do not need to specify the image againresponse = chat.sendMessage("But make it old-school line drawing style")generatedImageAsBitmap = response .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image | -| Java Android | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview |// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.googleAI()).generativeModel( "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) new GenerationConfig.Builder() .setResponseModalities(Arrays.asList(ResponseModality.TEXT, ResponseModality.IMAGE)) .build());GenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide an image for the model to editBitmap bitmap = BitmapFactory.decodeResource(resources, R.drawable.scones);// Initialize the chatChatFutures chat = model.startChat();// Create the initial prompt instructing the model to edit the imageContent prompt = new Content.Builder() .setRole("user") .addImage(bitmap) .addText("Edit this image to make it look like a cartoon") .build();// To generate an initial response, send a user message with the image and text promptListenableFuture response = chat.sendMessage(prompt);// Extract the image from the initial responseListenableFuture<@Nullable Bitmap> initialRequest = Futures.transform(response, result -> { for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; return imagePart.getImage(); } } return null;}, executor);// Follow up requests do not need to specify the image againListenableFuture modelResponseFuture = Futures.transformAsync( initialRequest, generatedImage -> { Content followUpPrompt = new Content.Builder() .addText("But make it old-school line drawing style") .build(); return chat.sendMessage(followUpPrompt); }, executor);// Add a final callback to check the reworked imageFutures.addCallback(modelResponseFuture, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; Bitmap generatedImageAsBitmap = imagePart.getImage(); break; } } } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor); | -| Web Modular API | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview |import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend, ResponseModality } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai = getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: { responseModalities: [ResponseModality.TEXT, ResponseModality.IMAGE], },});// Prepare an image for the model to editasync function fileToGenerativePart(file) { const base64EncodedDataPromise = new Promise((resolve) => { const reader = new FileReader(); reader.onloadend = () => resolve(reader.result.split(',')[1]); reader.readAsDataURL(file); }); return { inlineData: { data: await base64EncodedDataPromise, mimeType: file.type }, };}const fileInputEl = document.querySelector("input[type=file]");const imagePart = await fileToGenerativePart(fileInputEl.files[0]);// Provide an initial text prompt instructing the model to edit the imageconst prompt = "Edit this image to make it look like a cartoon";// Initialize the chatconst chat = model.startChat();// To generate an initial response, send a user message with the image and text promptconst result = await chat.sendMessage([prompt, imagePart]);// Request and inspect the generated imagetry { const inlineDataParts = result.response.inlineDataParts(); if (inlineDataParts?.[0]) { // Inspect the generated image const image = inlineDataParts[0].inlineData; console.log(image.mimeType, image.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);}// Follow up requests do not need to specify the image againconst followUpResult = await chat.sendMessage("But make it old-school line drawing style");// Request and inspect the returned imagetry { const followUpInlineDataParts = followUpResult.response.inlineDataParts(); if (followUpInlineDataParts?.[0]) { // Inspect the generated image const followUpImage = followUpInlineDataParts[0].inlineData; console.log(followUpImage.mimeType, followUpImage.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);} | -| Dart Flutter | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';await Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputfinal model = FirebaseAI.googleAI().generativeModel( model: 'gemini-2.5-flash-image-preview', // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [ResponseModalities.text, ResponseModalities.image]),);// Prepare an image for the model to editfinal image = await File('scones.jpg').readAsBytes();final imagePart = InlineDataPart('image/jpeg', image);// Provide an initial text prompt instructing the model to edit the imagefinal prompt = TextPart("Edit this image to make it look like a cartoon");// Initialize the chatfinal chat = model.startChat();// To generate an initial response, send a user message with the image and text promptfinal response = await chat.sendMessage([ Content.multi([prompt,imagePart])]);// Inspect the returned imageif (response.inlineDataParts.isNotEmpty) { final imageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');}// Follow up requests do not need to specify the image againfinal followUpResponse = await chat.sendMessage([ Content.text("But make it old-school line drawing style")]);// Inspect the returned imageif (followUpResponse.inlineDataParts.isNotEmpty) { final followUpImageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');}| -| Unity | Iterate and edit images using multi-turn chat (nano banana)| Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | using Firebase;using Firebase.AI;// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputvar model = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI()).GetGenerativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: new GenerationConfig( responseModalities: new[] { ResponseModality.Text, ResponseModality.Image }));// Prepare an image for the model to editvar imageFile = System.IO.File.ReadAllBytes(System.IO.Path.Combine( UnityEngine.Application.streamingAssetsPath, "scones.jpg"));var image = ModelContent.InlineData("image/jpeg", imageFile);// Provide an initial text prompt instructing the model to edit the imagevar prompt = ModelContent.Text("Edit this image to make it look like a cartoon.");// Initialize the chatvar chat = model.StartChat();// To generate an initial response, send a user message with the image and text promptvar response = await chat.SendMessageAsync(new [] { prompt, image });// Inspect the returned imagevar imageParts = response.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");// Load the image into a Unity Texture2D objectUnityEngine.Texture2D texture2D = new(2, 2);if (texture2D.LoadImage(imageParts.First().Data.ToArray())) { // Do something with the image}// Follow up requests do not need to specify the image againvar followUpResponse = await chat.SendMessageAsync("But make it old-school line drawing style");// Inspect the returned imagevar followUpImageParts = followUpResponse.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");// Load the image into a Unity Texture2D objectUnityEngine.Texture2D followUpTexture2D = new(2, 2);if (followUpTexture2D.LoadImage(followUpImageParts.First().Data.ToArray())) { // Do something with the image}| -| Swift iOS | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | import FirebaseAI// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputlet generativeModel = FirebaseAI.firebaseAI(backend: .vertexAI(location: "global")).generativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [.text, .image]))// Initialize the chatlet chat = model.startChat()guard let image = UIImage(named: "scones") else { fatalError("Image file not found.") }// Provide an initial text prompt instructing the model to edit the imagelet prompt = "Edit this image to make it look like a cartoon"// To generate an initial response, send a user message with the image and text promptlet response = try await chat.sendMessage(image, prompt)// Inspect the generated imageguard let inlineDataPart = response.inlineDataParts.first else { fatalError("No image data in response.")}guard let uiImage = UIImage(data: inlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}// Follow up requests do not need to specify the image againlet followUpResponse = try await chat.sendMessage("But make it old-school line drawing style")// Inspect the edited image after the follow up requestguard let followUpInlineDataPart = followUpResponse.inlineDataParts.first else { fatalError("No image data in response.")}guard let followUpUIImage = UIImage(data: followUpInlineDataPart.data) else { fatalError("Failed to convert data to UIImage.")}| -| Kotlin Android | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | // Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputval model = Firebase.ai(backend = GenerativeBackend.vertexAI(location = "global")).generativeModel( modelName = "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig = generationConfig {responseModalities = listOf(ResponseModality.TEXT, ResponseModality.IMAGE) })// Provide an image for the model to editval bitmap = BitmapFactory.decodeResource(context.resources, R.drawable.scones)// Create the initial prompt instructing the model to edit the imageval prompt = content { image(bitmap) text("Edit this image to make it look like a cartoon")}// Initialize the chatval chat = model.startChat()// To generate an initial response, send a user message with the image and text promptvar response = chat.sendMessage(prompt)// Inspect the returned imagevar generatedImageAsBitmap = response .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image// Follow up requests do not need to specify the image againresponse = chat.sendMessage("But make it old-school line drawing style")generatedImageAsBitmap = response .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image| -| Java Android | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | // Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputGenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.vertexAI("global")).generativeModel( "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) new GenerationConfig.Builder() .setResponseModalities(Arrays.asList(ResponseModality.TEXT, ResponseModality.IMAGE)) .build());GenerativeModelFutures model = GenerativeModelFutures.from(ai);// Provide an image for the model to editBitmap bitmap = BitmapFactory.decodeResource(resources, R.drawable.scones);// Initialize the chatChatFutures chat = model.startChat();// Create the initial prompt instructing the model to edit the imageContent prompt = new Content.Builder() .setRole("user") .addImage(bitmap) .addText("Edit this image to make it look like a cartoon") .build();// To generate an initial response, send a user message with the image and text promptListenableFuture response = chat.sendMessage(prompt);// Extract the image from the initial responseListenableFuture<@Nullable Bitmap> initialRequest = Futures.transform(response, result -> { for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; return imagePart.getImage(); } } return null;}, executor);// Follow up requests do not need to specify the image againListenableFuture modelResponseFuture = Futures.transformAsync( initialRequest, generatedImage -> { Content followUpPrompt = new Content.Builder() .addText("But make it old-school line drawing style") .build(); return chat.sendMessage(followUpPrompt); }, executor);// Add a final callback to check the reworked imageFutures.addCallback(modelResponseFuture, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart = (ImagePart) part; Bitmap generatedImageAsBitmap = imagePart.getImage(); break; } } } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor);| -| Web Modular API | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, VertexAIBackend, ResponseModality } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: https://firebase.google.com/docs/web/learn-more#config-objectconst firebaseConfig = { // ...};// Initialize FirebaseAppconst firebaseApp = initializeApp(firebaseConfig);// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported locationconst ai = getAI(firebaseApp, { backend: new VertexAIBackend('global') });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model = getGenerativeModel(ai, { model: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: { responseModalities: [ResponseModality.TEXT, ResponseModality.IMAGE], },});// Prepare an image for the model to editasync function fileToGenerativePart(file) { const base64EncodedDataPromise = new Promise((resolve) => { const reader = new FileReader(); reader.onloadend = () => resolve(reader.result.split(',')[1]); reader.readAsDataURL(file); }); return { inlineData: { data: await base64EncodedDataPromise, mimeType: file.type }, };}const fileInputEl = document.querySelector("input[type=file]");const imagePart = await fileToGenerativePart(fileInputEl.files[0]);// Provide an initial text prompt instructing the model to edit the imageconst prompt = "Edit this image to make it look like a cartoon";// Initialize the chatconst chat = model.startChat();// To generate an initial response, send a user message with the image and text promptconst result = await chat.sendMessage([prompt, imagePart]);// Request and inspect the generated imagetry { const inlineDataParts = result.response.inlineDataParts(); if (inlineDataParts?.[0]) { // Inspect the generated image const image = inlineDataParts[0].inlineData; console.log(image.mimeType, image.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);}// Follow up requests do not need to specify the image againconst followUpResult = await chat.sendMessage("But make it old-school line drawing style");// Request and inspect the returned imagetry { const followUpInlineDataParts = followUpResult.response.inlineDataParts(); if (followUpInlineDataParts?.[0]) { // Inspect the generated image const followUpImage = followUpInlineDataParts[0].inlineData; console.log(followUpImage.mimeType, followUpImage.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);}| -| Dart Flutter | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | import 'package:firebase_ai/firebase_ai.dart';import 'package:firebase_core/firebase_core.dart';import 'firebase_options.dart';await Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputfinal model = FirebaseAI.vertexAI(location: 'global').generativeModel( model: 'gemini-2.5-flash-image-preview', // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [ResponseModalities.text, ResponseModalities.image]),);// Prepare an image for the model to editfinal image = await File('scones.jpg').readAsBytes();final imagePart = InlineDataPart('image/jpeg', image);// Provide an initial text prompt instructing the model to edit the imagefinal prompt = TextPart("Edit this image to make it look like a cartoon");// Initialize the chatfinal chat = model.startChat();// To generate an initial response, send a user message with the image and text promptfinal response = await chat.sendMessage([ Content.multi([prompt,imagePart])]);// Inspect the returned imageif (response.inlineDataParts.isNotEmpty) { final imageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');}// Follow up requests do not need to specify the image againfinal followUpResponse = await chat.sendMessage([ Content.text("But make it old-school line drawing style")]);// Inspect the returned imageif (followUpResponse.inlineDataParts.isNotEmpty) { final followUpImageBytes = response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');}| -| Unity | Iterate and edit images using multi-turn chat (nano banana)| Vertex AI Gemini API (Vertex AI) gemini-2.5-flash-image-preview | using Firebase;using Firebase.AI;// Initialize the Vertex AI Gemini API backend service// Specify the location to access the model — for preview models, \`global\` is usually the only supported location// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputvar model = FirebaseAI.GetInstance(FirebaseAI.Backend.VertexAI(location: "global")).GetGenerativeModel( modelName: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: new GenerationConfig( responseModalities: new[] { ResponseModality.Text, ResponseModality.Image }));// Prepare an image for the model to editvar imageFile = System.IO.File.ReadAllBytes(System.IO.Path.Combine( UnityEngine.Application.streamingAssetsPath, "scones.jpg"));var image = ModelContent.InlineData("image/jpeg", imageFile);// Provide an initial text prompt instructing the model to edit the imagevar prompt = ModelContent.Text("Edit this image to make it look like a cartoon.");// Initialize the chatvar chat = model.StartChat();// To generate an initial response, send a user message with the image and text promptvar response = await chat.SendMessageAsync(new [] { prompt, image });// Inspect the returned imagevar imageParts = response.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");// Load the image into a Unity Texture2D objectUnityEngine.Texture2D texture2D = new(2, 2);if (texture2D.LoadImage(imageParts.First().Data.ToArray())) { // Do something with the image}// Follow up requests do not need to specify the image againvar followUpResponse = await chat.SendMessageAsync("But make it old-school line drawing style");// Inspect the returned imagevar followUpImageParts = followUpResponse.Candidates.First().Content.Parts .OfType() .Where(part => part.MimeType == "image/png");// Load the image into a Unity Texture2D objectUnityEngine.Texture2D followUpTexture2D = new(2, 2);if (followUpTexture2D.LoadImage(followUpImageParts.First().Data.ToArray())) { // Do something with the image}| +| Language, Framework, Platform | Feature | Gemini API | Unformatted Snippet | +| :---- | ----: | :---- | :---- | +| Kotlin Android | Generate text from text-only input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseval model \= Firebase.ai(backend \= GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash")// Provide a prompt that contains textval prompt \= "Write a story about a magic backpack."// To generate text output, call generateContent with the text inputval response \= generativeModel.generateContent(prompt)print(response.text) | +| Java Android | Generate text from text-only input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseGenerativeModel ai \= FirebaseAI.getInstance(GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash");// Use the GenerativeModelFutures Java compatibility layer which offers// support for ListenableFuture and Publisher APIsGenerativeModelFutures model \= GenerativeModelFutures.from(ai);// Provide a prompt that contains textContent prompt \= new Content.Builder() .addText("Write a story about a magic backpack.") .build();// To generate text output, call generateContent with the text inputListenableFutureresponse \= model.generateContent(prompt);Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { String resultText \= result.getText(); System.out.println(resultText); } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor); | +| Web | Generate text from text-only input | Gemini Developer API (Developer API) | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: [https://firebase.google.com/docs/web/learn-more#config-objectconst](https://firebase.google.com/docs/web/learn-more#config-objectconst) firebaseConfig \= { // ...};// Initialize FirebaseAppconst firebaseApp \= initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai \= getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model \= getGenerativeModel(ai, { model: "gemini-2.5-flash" });// Wrap in an async function so you can use awaitasync function run() { // Provide a prompt that contains text const prompt \= "Write a story about a magic backpack." // To generate text output, call generateContent with the text input const result \= await model.generateContent(prompt); const response \= result.response; const text \= response.text(); console.log(text);}run(); | +| Dart Flutter | Generate text from text-only input | Gemini Developer API (Developer API) | import 'package:firebase\_ai/firebase\_ai.dart';import 'package:firebase\_core/firebase\_core.dart';import 'firebase\_options.dart';// Initialize FirebaseAppawait Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use casefinal model \= FirebaseAI.googleAI().generativeModel(model: 'gemini-2.5-flash');// Provide a prompt that contains textfinal prompt \= [Content.text('Write a story about a magic backpack.')];// To generate text output, call generateContent with the text inputfinal response \= await model.generateContent(prompt);print(response.text); | +| Kotlin Android | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseval model \= Firebase.ai(backend \= GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash")val contentResolver \= applicationContext.contentResolvercontentResolver.openInputStream(videoUri).use { stream -> stream?.let { val bytes \= stream.readBytes() // Provide a prompt that includes the video specified above and text val prompt \= content { inlineData(bytes, "video/mp4") text("What is in the video?") } // To generate text output, call generateContent with the prompt val response \= generativeModel.generateContent(prompt) Log.d(TAG, response.text ?: "") }} | +| Java Android | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use caseGenerativeModel ai \= FirebaseAI.getInstance(GenerativeBackend.googleAI()) .generativeModel("gemini-2.5-flash");// Use the GenerativeModelFutures Java compatibility layer which offers// support for ListenableFuture and Publisher APIsGenerativeModelFutures model \= GenerativeModelFutures.from(ai);ContentResolver resolver \= getApplicationContext().getContentResolver();try (InputStream stream \= resolver.openInputStream(videoUri)) { File videoFile \= new File(new URI(videoUri.toString())); int videoSize \= (int) videoFile.length(); byte[] videoBytes \= new byte[videoSize]; if (stream \!= null) { stream.read(videoBytes, 0, videoBytes.length); stream.close(); // Provide a prompt that includes the video specified above and text Content prompt \= new Content.Builder() .addInlineData(videoBytes, "video/mp4") .addText("What is in the video?") .build(); // To generate text output, call generateContent with the prompt ListenableFutureresponse \= model.generateContent(prompt); Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { String resultText \= result.getText(); System.out.println(resultText); } @Override public void onFailure(Throwable t) { t.printStackTrace(); } }, executor); }} catch (IOException e) { e.printStackTrace();} catch (URISyntaxException e) { e.printStackTrace();} | +| Web | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: [https://firebase.google.com/docs/web/learn-more#config-objectconst](https://firebase.google.com/docs/web/learn-more#config-objectconst) firebaseConfig \= { // ...};// Initialize FirebaseAppconst firebaseApp \= initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai \= getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model \= getGenerativeModel(ai, { model: "gemini-2.5-flash" });// Converts a File object to a Part object.async function fileToGenerativePart(file) { const base64EncodedDataPromise \= new Promise((resolve) \=> { const reader \= new FileReader(); reader.onloadend \= () \=> resolve(reader.result.split(',')[1]); reader.readAsDataURL(file); }); return { inlineData: { data: await base64EncodedDataPromise, mimeType: file.type }, };}async function run() { // Provide a text prompt to include with the video const prompt \= "What do you see?"; const fileInputEl \= document.querySelector("input[type=file]"); const videoPart \= await fileToGenerativePart(fileInputEl.files[0]); // To generate text output, call generateContent with the text and video const result \= await model.generateContent([prompt, videoPart]); const response \= result.response; const text \= response.text(); console.log(text);}run(); | +| Dart Flutter | Generate text from text-and-file (multimodal) input | Gemini Developer API (Developer API) | import 'package:firebase\_ai/firebase\_ai.dart';import 'package:firebase\_core/firebase\_core.dart';import 'firebase\_options.dart';// Initialize FirebaseAppawait Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a model that supports your use casefinal model \= FirebaseAI.googleAI().generativeModel(model: 'gemini-2.5-flash');// Provide a text prompt to include with the videofinal prompt \= TextPart("What's in the video?");// Prepare video for inputfinal video \= await File('video0.mp4').readAsBytes();// Provide the video as \`Data\` with the appropriate mimetypefinal videoPart \= InlineDataPart('video/mp4', video);// To generate text output, call generateContent with the text and imagesfinal response \= await model.generateContent([ Content.multi([prompt, ...videoPart])]);print(response.text); | +| Kotlin Android | Generate images (text-only input) | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputval model \= Firebase.ai(backend \= GenerativeBackend.googleAI()).generativeModel( modelName \= "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig \= generationConfig {responseModalities \= listOf(ResponseModality.TEXT, ResponseModality.IMAGE) })// Provide a text prompt instructing the model to generate an imageval prompt \= "Generate an image of the Eiffel tower with fireworks in the background."// To generate image output, call \`generateContent\` with the text inputval generatedImageAsBitmap \= model.generateContent(prompt) // Handle the generated image .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image | +| Java Android | Generate images (text-only input) | Gemini Developer API (Developer API) | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputGenerativeModel ai \= FirebaseAI.getInstance(GenerativeBackend.googleAI()).generativeModel( "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) new GenerationConfig.Builder() .setResponseModalities(Arrays.asList(ResponseModality.TEXT, ResponseModality.IMAGE)) .build());GenerativeModelFutures model \= GenerativeModelFutures.from(ai);// Provide a text prompt instructing the model to generate an imageContent prompt \= new Content.Builder() .addText("Generate an image of the Eiffel Tower with fireworks in the background.") .build();// To generate an image, call \`generateContent\` with the text inputListenableFutureresponse \= model.generateContent(prompt);Futures.addCallback(response, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { // iterate over all the parts in the first candidate in the result object for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart \= (ImagePart) part; // The returned image as a bitmap Bitmap generatedImageAsBitmap \= imagePart.getImage(); break; } } } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor); | +| Web | Generate images (text-only input) | Gemini Developer API (Developer API) | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend, ResponseModality } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: [https://firebase.google.com/docs/web/learn-more#config-objectconst](https://firebase.google.com/docs/web/learn-more#config-objectconst) firebaseConfig \= { // ...};// Initialize FirebaseAppconst firebaseApp \= initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai \= getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model \= getGenerativeModel(ai, { model: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: { responseModalities: [ResponseModality.TEXT, ResponseModality.IMAGE], },});// Provide a text prompt instructing the model to generate an imageconst prompt \= 'Generate an image of the Eiffel Tower with fireworks in the background.';// To generate an image, call \`generateContent\` with the text inputconst result \= model.generateContent(prompt);// Handle the generated imagetry { const inlineDataParts \= result.response.inlineDataParts(); if (inlineDataParts?.[0]) { const image \= inlineDataParts[0].inlineData; console.log(image.mimeType, image.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);} | +| Dart Flutter | Generate images (text-only input) | Gemini Developer API (Developer API) | import 'package:firebase\_ai/firebase\_ai.dart';import 'package:firebase\_core/firebase\_core.dart';import 'firebase\_options.dart';await Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputfinal model \= FirebaseAI.googleAI().generativeModel( model: 'gemini-2.5-flash-image-preview', // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [ResponseModalities.text, ResponseModalities.image]),);// Provide a text prompt instructing the model to generate an imagefinal prompt \= [Content.text('Generate an image of the Eiffel Tower with fireworks in the background.')];// To generate an image, call \`generateContent\` with the text inputfinal response \= await model.generateContent(prompt);if (response.inlineDataParts.isNotEmpty) { final imageBytes \= response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');} | +| Kotlin Android | Iterate and edit images using multi-turn chat (nano banana) This requires the user to upgrade to the Blaze pay-as-you-go billing plan. Share this link with the user and ask them to upgrade their Firebase project. https://console.firebase.google.com/\/overview?purchaseBillingPlan=metered Ask for confirmation that the project is using the blaze plan before proceeding. | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputval model \= Firebase.ai(backend \= GenerativeBackend.googleAI()).generativeModel( modelName \= "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig \= generationConfig {responseModalities \= listOf(ResponseModality.TEXT, ResponseModality.IMAGE) })// Provide an image for the model to editval bitmap \= BitmapFactory.decodeResource(context.resources, R.drawable.scones)// Create the initial prompt instructing the model to edit the imageval prompt \= content { image(bitmap) text("Edit this image to make it look like a cartoon")}// Initialize the chatval chat \= model.startChat()// To generate an initial response, send a user message with the image and text promptvar response \= chat.sendMessage(prompt)// Inspect the returned imagevar generatedImageAsBitmap \= response .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image// Follow up requests do not need to specify the image againresponse \= chat.sendMessage("But make it old-school line drawing style")generatedImageAsBitmap \= response .candidates.first().content.parts.filterIsInstance().firstOrNull()?.image | +| Java Android | Iterate and edit images using multi-turn chat (nano banana) This requires the user to upgrade to the Blaze pay-as-you-go billing plan. Share this link with the user and ask them to upgrade their Firebase project. https://console.firebase.google.com/\/overview?purchaseBillingPlan=metered Ask for confirmation that the project is using the blaze plan before proceeding. | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | // Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputGenerativeModel ai \= FirebaseAI.getInstance(GenerativeBackend.googleAI()).generativeModel( "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) new GenerationConfig.Builder() .setResponseModalities(Arrays.asList(ResponseModality.TEXT, ResponseModality.IMAGE)) .build());GenerativeModelFutures model \= GenerativeModelFutures.from(ai);// Provide an image for the model to editBitmap bitmap \= BitmapFactory.decodeResource(resources, R.drawable.scones);// Initialize the chatChatFutures chat \= model.startChat();// Create the initial prompt instructing the model to edit the imageContent prompt \= new Content.Builder() .setRole("user") .addImage(bitmap) .addText("Edit this image to make it look like a cartoon") .build();// To generate an initial response, send a user message with the image and text promptListenableFutureresponse \= chat.sendMessage(prompt);// Extract the image from the initial responseListenableFuture\<@Nullable Bitmap> initialRequest \= Futures.transform(response, result -> { for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart \= (ImagePart) part; return imagePart.getImage(); } } return null;}, executor);// Follow up requests do not need to specify the image againListenableFuture modelResponseFuture \= Futures.transformAsync( initialRequest, generatedImage -> { Content followUpPrompt \= new Content.Builder() .addText("But make it old-school line drawing style") .build(); return chat.sendMessage(followUpPrompt); }, executor);// Add a final callback to check the reworked imageFutures.addCallback(modelResponseFuture, new FutureCallback() { @Override public void onSuccess(GenerateContentResponse result) { for (Part part : result.getCandidates().get(0).getContent().getParts()) { if (part instanceof ImagePart) { ImagePart imagePart \= (ImagePart) part; Bitmap generatedImageAsBitmap \= imagePart.getImage(); break; } } } @Override public void onFailure(Throwable t) { t.printStackTrace(); }}, executor); | +| Web Modular API | Iterate and edit images using multi-turn chat (nano banana) This requires the user to upgrade to the Blaze pay-as-you-go billing plan. Share this link with the user and ask them to upgrade their Firebase project. https://console.firebase.google.com/\/overview?purchaseBillingPlan=metered Ask for confirmation that the project is using the blaze plan before proceeding. | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | import { initializeApp } from "firebase/app";import { getAI, getGenerativeModel, GoogleAIBackend, ResponseModality } from "firebase/ai";// TODO(developer) Replace the following with your app's Firebase configuration// See: [https://firebase.google.com/docs/web/learn-more#config-objectconst](https://firebase.google.com/docs/web/learn-more#config-objectconst) firebaseConfig \= { // ...};// Initialize FirebaseAppconst firebaseApp \= initializeApp(firebaseConfig);// Initialize the Gemini Developer API backend serviceconst ai \= getAI(firebaseApp, { backend: new GoogleAIBackend() });// Create a \`GenerativeModel\` instance with a model that supports your use caseconst model \= getGenerativeModel(ai, { model: "gemini-2.5-flash-image-preview", // Configure the model to respond with text and images (required) generationConfig: { responseModalities: [ResponseModality.TEXT, ResponseModality.IMAGE], },});// Prepare an image for the model to editasync function fileToGenerativePart(file) { const base64EncodedDataPromise \= new Promise((resolve) \=> { const reader \= new FileReader(); reader.onloadend \= () \=> resolve(reader.result.split(',')[1]); reader.readAsDataURL(file); }); return { inlineData: { data: await base64EncodedDataPromise, mimeType: file.type }, };}const fileInputEl \= document.querySelector("input[type=file]");const imagePart \= await fileToGenerativePart(fileInputEl.files[0]);// Provide an initial text prompt instructing the model to edit the imageconst prompt \= "Edit this image to make it look like a cartoon";// Initialize the chatconst chat \= model.startChat();// To generate an initial response, send a user message with the image and text promptconst result \= await chat.sendMessage([prompt, imagePart]);// Request and inspect the generated imagetry { const inlineDataParts \= result.response.inlineDataParts(); if (inlineDataParts?.[0]) { // Inspect the generated image const image \= inlineDataParts[0].inlineData; console.log(image.mimeType, image.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);}// Follow up requests do not need to specify the image againconst followUpResult \= await chat.sendMessage("But make it old-school line drawing style");// Request and inspect the returned imagetry { const followUpInlineDataParts \= followUpResult.response.inlineDataParts(); if (followUpInlineDataParts?.[0]) { // Inspect the generated image const followUpImage \= followUpInlineDataParts[0].inlineData; console.log(followUpImage.mimeType, followUpImage.data); }} catch (err) { console.error('Prompt or candidate was blocked:', err);} | +| Dart Flutter | Iterate and edit images using multi-turn chat (nano banana) This requires the user to upgrade to the Blaze pay-as-you-go billing plan. Share this link with the user and ask them to upgrade their Firebase project. https://console.firebase.google.com/\/overview?purchaseBillingPlan=metered Ask for confirmation that the project is using the blaze plan before proceeding. | Gemini Developer API (Developer API) gemini-2.5-flash-image-preview | import 'package:firebase\_ai/firebase\_ai.dart';import 'package:firebase\_core/firebase\_core.dart';import 'firebase\_options.dart';await Firebase.initializeApp( options: DefaultFirebaseOptions.currentPlatform,);// Initialize the Gemini Developer API backend service// Create a \`GenerativeModel\` instance with a Gemini model that supports image outputfinal model \= FirebaseAI.googleAI().generativeModel( model: 'gemini-2.5-flash-image-preview', // Configure the model to respond with text and images (required) generationConfig: GenerationConfig(responseModalities: [ResponseModalities.text, ResponseModalities.image]),);// Prepare an image for the model to editfinal image \= await File('scones.jpg').readAsBytes();final imagePart \= InlineDataPart('image/jpeg', image);// Provide an initial text prompt instructing the model to edit the imagefinal prompt \= TextPart("Edit this image to make it look like a cartoon");// Initialize the chatfinal chat \= model.startChat();// To generate an initial response, send a user message with the image and text promptfinal response \= await chat.sendMessage([ Content.multi([prompt,imagePart])]);// Inspect the returned imageif (response.inlineDataParts.isNotEmpty) { final imageBytes \= response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');}// Follow up requests do not need to specify the image againfinal followUpResponse \= await chat.sendMessage([ Content.text("But make it old-school line drawing style")]);// Inspect the returned imageif (followUpResponse.inlineDataParts.isNotEmpty) { final followUpImageBytes \= response.inlineDataParts[0].bytes; // Process the image} else { // Handle the case where no images were generated print('Error: No images were generated.');} | `, }, ], From 09fcfffcaebd3955207e796885a705d926994791 Mon Sep 17 00:00:00 2001 From: annajowang <31288696+annajowang@users.noreply.github.com> Date: Fri, 26 Sep 2025 09:18:21 -0400 Subject: [PATCH 32/37] Fix lint and test errors from master merge (#9192) * Fix merge conflict issues from merging in master. * fix tests --- src/deploy/apphosting/deploy.spec.ts | 44 ++++++++++++++------------- src/deploy/apphosting/deploy.ts | 26 ++++++++++------ src/deploy/apphosting/prepare.spec.ts | 2 +- src/deploy/apphosting/prepare.ts | 18 +++++------ src/deploy/apphosting/release.spec.ts | 36 +++++++++++----------- src/deploy/apphosting/release.ts | 4 +-- 6 files changed, 70 insertions(+), 60 deletions(-) diff --git a/src/deploy/apphosting/deploy.spec.ts b/src/deploy/apphosting/deploy.spec.ts index a14dd1c0736..52d275cb348 100644 --- a/src/deploy/apphosting/deploy.spec.ts +++ b/src/deploy/apphosting/deploy.spec.ts @@ -31,19 +31,19 @@ function initializeContext(): Context { ignore: [], }, fooLocalBuild: { - backendId: "fooLocalBuild", - rootDir: "/", - ignore: [], - localBuild: true, - } + backendId: "fooLocalBuild", + rootDir: "/", + ignore: [], + localBuild: true, + }, }, - backendLocations: { foo: "us-central1" , fooLocalBuild: "us-central1"}, + backendLocations: { foo: "us-central1", fooLocalBuild: "us-central1" }, backendStorageUris: {}, backendLocalBuilds: { fooLocalBuild: { - buildDir: "./nextjs/standalone", - buildConfig: {}, - annotations: {}, + buildDir: "./nextjs/standalone", + buildConfig: {}, + annotations: {}, }, }, }; @@ -134,25 +134,27 @@ describe("apphosting", () => { }, }); - // assert backend foo-local-build calls + // assert backend fooLocalBuild calls expect(upsertBucketStub).to.be.calledWith({ - product: "apphosting", - createMessage: - "Creating Cloud Storage bucket in us-central1 to store App Hosting source code uploads at firebaseapphosting-sources-000000000000-us-central1...", + product: "apphosting", + createMessage: + "Creating Cloud Storage bucket in us-central1 to store App Hosting source code uploads at firebaseapphosting-build-000000000000-us-central1...", projectId: "my-project", req: { name: "firebaseapphosting-build-000000000000-us-central1", location: "us-central1", - rule: [ - { - action: { type: "Delete" }, - condition: { age: 30 }, - }, - ], + lifecycle: { + rule: [ + { + action: { type: "Delete" }, + condition: { age: 30 }, + }, + ], + }, }, }); expect(createArchiveStub).to.be.calledWithExactly( - context.backendConfigs.get("foo-local-build"), + context.backendConfigs["fooLocalBuild"], process.cwd(), "./nextjs/standalone", ); @@ -185,7 +187,7 @@ describe("apphosting", () => { expect(context.backendStorageUris["foo"]).to.equal( "gs://firebaseapphosting-sources-000000000000-us-central1/foo-1234.zip", ); - expect(context.backendStorageUris.get("foo-local-build")).to.equal( + expect(context.backendStorageUris["fooLocalBuild"]).to.equal( "gs://firebaseapphosting-build-000000000000-us-central1/foo-local-build-1234.zip", ); }); diff --git a/src/deploy/apphosting/deploy.ts b/src/deploy/apphosting/deploy.ts index 7869362d117..eefcd27b4d1 100644 --- a/src/deploy/apphosting/deploy.ts +++ b/src/deploy/apphosting/deploy.ts @@ -25,9 +25,15 @@ export default async function (context: Context, options: Options): Promise { + Object.entries(context.backendLocations).map(async ([backendId, loc]) => { const cfg = context.backendConfigs[backendId]; - const bucketName = `firebaseapphosting-${cfg?.localBuild ? "build" : "sources"}-${options.projectNumber}-${loc.toLowerCase()}`; + if (!cfg) { + throw new FirebaseError( + `Failed to find config for backend ${backendId}. Please contact support with the contents of your firebase-debug.log to report your issue.`, + ); + } + + const bucketName = `firebaseapphosting-${cfg.localBuild ? "build" : "sources"}-${options.projectNumber}-${loc.toLowerCase()}`; await gcs.upsertBucket({ product: "apphosting", createMessage: `Creating Cloud Storage bucket in ${loc} to store App Hosting source code uploads at ${bucketName}...`, @@ -51,20 +57,22 @@ export default async function (context: Context, options: Options): Promise { const rootDir = options.projectRoot ?? process.cwd(); let builtAppDir; if (cfg.localBuild) { - builtAppDir = context.backendLocalBuilds[cfg.backendId].buildDir; - if (!builtAppDir) { + builtAppDir = context.backendLocalBuilds[cfg.backendId].buildDir; + if (!builtAppDir) { throw new FirebaseError(`No local build dir found for ${cfg.backendId}`); - } + } } const zippedSourcePath = await createArchive(cfg, rootDir, builtAppDir); logLabeledBullet( - "apphosting", - `Zipped ${cfg.localBuild ? "built app" : "source"} for backend ${cfg.backendId}`, + "apphosting", + `Zipped ${cfg.localBuild ? "built app" : "source"} for backend ${cfg.backendId}`, ); const backendLocation = context.backendLocations[cfg.backendId]; @@ -74,8 +82,8 @@ export default async function (context: Context, options: Options): Promise { rootDir: "/", ignore: [], }); - expect(context.backendLocalBuilds["foo}).to.be.undefined; + expect(context.backendLocalBuilds["foo"]).to.be.undefined; }); it("creates a backend if it doesn't exist yet", async () => { diff --git a/src/deploy/apphosting/prepare.ts b/src/deploy/apphosting/prepare.ts index 8524c68f8a4..14e314f3b61 100644 --- a/src/deploy/apphosting/prepare.ts +++ b/src/deploy/apphosting/prepare.ts @@ -148,11 +148,11 @@ export default async function (context: Context, options: Options): Promise { + if (!cfg.localBuild) { + return; } - logLabeledBullet("apphosting", `Starting local build for backend ${config.backendId}`); + logLabeledBullet("apphosting", `Starting local build for backend ${cfg.backendId}`); try { const { outputFiles, annotations, buildConfig } = await localBuild( options.projectRoot || "./", @@ -160,20 +160,20 @@ export default async function (context: Context, options: Options): Promise { }; it("Supports passing localBuild information", async () => { const context: Context = { - backendConfigs: { - foo: { + backendConfigs: { + foo: { backendId: "foo", rootDir: "/", ignore: [], - localBuild: true, - }, - }, - backendLocations: { foo: "us-central1" }, - backendStorageUris: { - foo: "gs://firebaseapphosting-sources-us-central1/foo-1234.zip", - }, + localBuild: true, + }, + }, + backendLocations: { foo: "us-central1" }, + backendStorageUris: { + foo: "gs://firebaseapphosting-sources-us-central1/foo-1234.zip", + }, backendLocalBuilds: { foo: { buildConfig: { @@ -115,18 +115,18 @@ describe("apphosting", () => { it("does not block rollouts of other backends if one rollout fails", async () => { const context: Context = { - backendConfigs: { - foo: { + backendConfigs: { + foo: { backendId: "foo", rootDir: "/", ignore: [], - }, - }, - backendLocations: { foo: "us-central1" }, - backendStorageUris: { - foo: "gs://firebaseapphosting-sources-us-central1/foo-1234.zip", - }, - backendLocalBuilds: {}, + }, + }, + backendLocations: { foo: "us-central1" }, + backendStorageUris: { + foo: "gs://firebaseapphosting-sources-us-central1/foo-1234.zip", + }, + backendLocalBuilds: {}, }; orchestrateRolloutStub = sinon diff --git a/src/deploy/apphosting/release.ts b/src/deploy/apphosting/release.ts index d4c618d2883..eb518d766bc 100644 --- a/src/deploy/apphosting/release.ts +++ b/src/deploy/apphosting/release.ts @@ -41,12 +41,12 @@ export default async function (context: Context, options: Options): Promise Date: Fri, 26 Sep 2025 13:24:07 +0000 Subject: [PATCH 33/37] Remove debugging code. --- src/apphosting/localbuilds.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/apphosting/localbuilds.ts b/src/apphosting/localbuilds.ts index 557a4184609..ed8bef0d077 100644 --- a/src/apphosting/localbuilds.ts +++ b/src/apphosting/localbuilds.ts @@ -27,7 +27,7 @@ export async function localBuild( ); return { - outputFiles: apphostingBuildOutput.outputFiles?.serverApp.include ?? ["poop"], + outputFiles: apphostingBuildOutput.outputFiles?.serverApp.include ?? [], annotations, buildConfig: { runCommand: apphostingBuildOutput.runConfig.runCommand, From f932a96d298d8d6c474eac38f71c8b5431888bab Mon Sep 17 00:00:00 2001 From: Joanna Wang Date: Fri, 26 Sep 2025 14:17:07 +0000 Subject: [PATCH 34/37] Disable localBuild for rollouts. --- src/deploy/apphosting/release.ts | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/src/deploy/apphosting/release.ts b/src/deploy/apphosting/release.ts index eb518d766bc..7000bc94755 100644 --- a/src/deploy/apphosting/release.ts +++ b/src/deploy/apphosting/release.ts @@ -29,6 +29,17 @@ export default async function (context: Context, options: Options): Promise !missingBackends.includes(id)); } + const localBuildBackends = backendIds.filter( + (id) => context.backendLocalBuilds[id] + ); + if (localBuildBackends.length > 0) { + logLabeledWarning( + "apphosting", + `Skipping backend(s) ${localBuildBackends.join(", ")}. Local Builds are not supported yet.` + ); + backendIds = backendIds.filter((id) => !localBuildBackends.includes(id)); + } + if (backendIds.length === 0) { return; } @@ -41,12 +52,12 @@ export default async function (context: Context, options: Options): Promise Date: Fri, 26 Sep 2025 14:50:43 +0000 Subject: [PATCH 35/37] lint --- src/deploy/apphosting/release.ts | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/src/deploy/apphosting/release.ts b/src/deploy/apphosting/release.ts index 7000bc94755..d4927603e5d 100644 --- a/src/deploy/apphosting/release.ts +++ b/src/deploy/apphosting/release.ts @@ -29,13 +29,11 @@ export default async function (context: Context, options: Options): Promise !missingBackends.includes(id)); } - const localBuildBackends = backendIds.filter( - (id) => context.backendLocalBuilds[id] - ); + const localBuildBackends = backendIds.filter((id) => context.backendLocalBuilds[id]); if (localBuildBackends.length > 0) { logLabeledWarning( "apphosting", - `Skipping backend(s) ${localBuildBackends.join(", ")}. Local Builds are not supported yet.` + `Skipping backend(s) ${localBuildBackends.join(", ")}. Local Builds are not supported yet.`, ); backendIds = backendIds.filter((id) => !localBuildBackends.includes(id)); } @@ -47,17 +45,17 @@ export default async function (context: Context, options: Options): Promise // TODO(9114): Add run_command + // TODO(914): Set the buildConfig. + // TODO(914): Set locallyBuiltSource. orchestrateRollout({ projectId, backendId, location: context.backendLocations[backendId], buildInput: { - // TODO(914): Set the buildConfig. source: { archive: { userStorageUri: context.backendStorageUris[backendId], rootDirectory: context.backendConfigs[backendId].rootDir, - // TODO(914): Set locallyBuiltSource. }, }, }, From 97caaf88a8cdbd5b7bac2dbbbb2254cc08aaaf46 Mon Sep 17 00:00:00 2001 From: Joanna Wang Date: Fri, 26 Sep 2025 15:07:52 +0000 Subject: [PATCH 36/37] Remove tests for rolling out localBuilds since we are skipping those for now. --- src/deploy/apphosting/release.spec.ts | 73 --------------------------- 1 file changed, 73 deletions(-) diff --git a/src/deploy/apphosting/release.spec.ts b/src/deploy/apphosting/release.spec.ts index b0198f79a08..0695f99fd2c 100644 --- a/src/deploy/apphosting/release.spec.ts +++ b/src/deploy/apphosting/release.spec.ts @@ -39,79 +39,6 @@ describe("apphosting", () => { }, }), }; - it("Supports passing localBuild information", async () => { - const context: Context = { - backendConfigs: { - foo: { - backendId: "foo", - rootDir: "/", - ignore: [], - localBuild: true, - }, - }, - backendLocations: { foo: "us-central1" }, - backendStorageUris: { - foo: "gs://firebaseapphosting-sources-us-central1/foo-1234.zip", - }, - backendLocalBuilds: { - foo: { - buildConfig: { - env: [{ variable: "CHICKEN", value: "bok-bok" }], - }, - buildDir: "./", - annotations: {}, - }, - }, - }; - // Promise.allSettled is not resolving as expected with stubbed Promise. - // We stub allSettled here as a hack. - sinon.stub(Promise, "allSettled").resolves([]); - orchestrateRolloutStub = sinon.stub(rollout, "orchestrateRollout").resolves({ - rollout: { - name: "rollout-name", - state: "QUEUED", - pauseTime: "does not matter", - build: "dnm", - createTime: "dnm", - updateTime: "dnm", - uid: "dnm", - etag: "dnm", - reconciling: false, - }, - build: { - name: "build-name", - state: "BUILDING", - error: { code: 0, message: "everything good", details: "details" }, - image: "dnm", - source: {}, - sourceRef: "", - etag: "", - uuid: "", - reconciling: false, - createTime: "", - updateTime: "", - deleteTime: "", - }, - }); - await expect(release(context, opts)).to.eventually.not.rejected; - sinon.assert.calledOnceWithMatch(orchestrateRolloutStub, { - projectId: "my-project", - location: "us-central1", - backendId: "foo", - buildInput: { - config: { - env: [{ variable: "CHICKEN", value: "bok-bok" }], - }, - source: { - archive: { - userStorageUri: "gs://firebaseapphosting-sources-us-central1/foo-1234.zip", - rootDirectory: "/", - locallyBuiltSource: true, - }, - }, - }, - }); - }); it("does not block rollouts of other backends if one rollout fails", async () => { const context: Context = { From 959d224cbe13c9d758264092b533a130d9f9fd82 Mon Sep 17 00:00:00 2001 From: Joanna Wang Date: Sat, 4 Oct 2025 01:49:04 +0000 Subject: [PATCH 37/37] Make local builds synchronous --- src/deploy/apphosting/prepare.ts | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/src/deploy/apphosting/prepare.ts b/src/deploy/apphosting/prepare.ts index 14e314f3b61..87086e2f2ab 100644 --- a/src/deploy/apphosting/prepare.ts +++ b/src/deploy/apphosting/prepare.ts @@ -148,9 +148,9 @@ export default async function (context: Context, options: Options): Promise { + for (const cfg of Object.values(context.backendConfigs)) { if (!cfg.localBuild) { - return; + continue; } logLabeledBullet("apphosting", `Starting local build for backend ${cfg.backendId}`); try { @@ -172,8 +172,7 @@ export default async function (context: Context, options: Options): Promise