From 8b4409dcc29c635886c387e712de1f383aedc2c5 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Wed, 26 Feb 2025 15:45:02 -0500 Subject: [PATCH 01/65] commit --- public/_redirects | 7 ++++ .../browse-the-web.mdx | 0 .../docs/agents/api-reference/index.mdx | 6 ++-- .../manage-and-sync-state.mdx | 2 +- .../{examples => api-reference}/rag.mdx | 4 +-- .../run-workflows.mdx | 0 .../schedule-tasks.mdx | 0 src/content/docs/agents/api-reference/sdk.mdx | 2 +- .../using-ai-models.mdx | 8 ++--- .../websockets.mdx | 2 +- src/content/docs/agents/examples/index.mdx | 12 ------- .../agents/getting-started/quickstart.mdx | 33 +++++++++++++++++++ .../getting-started/testing-your-agent.mdx | 2 +- .../{examples => guides}/build-mcp-server.mdx | 0 src/content/docs/agents/index.mdx | 6 ++-- src/content/docs/agents/platform/limits.mdx | 2 +- 16 files changed, 57 insertions(+), 29 deletions(-) rename src/content/docs/agents/{examples => api-reference}/browse-the-web.mdx (100%) rename src/content/docs/agents/{examples => api-reference}/manage-and-sync-state.mdx (96%) rename src/content/docs/agents/{examples => api-reference}/rag.mdx (82%) rename src/content/docs/agents/{examples => api-reference}/run-workflows.mdx (100%) rename src/content/docs/agents/{examples => api-reference}/schedule-tasks.mdx (100%) rename src/content/docs/agents/{examples => api-reference}/using-ai-models.mdx (91%) rename src/content/docs/agents/{examples => api-reference}/websockets.mdx (96%) delete mode 100644 src/content/docs/agents/examples/index.mdx create mode 100644 src/content/docs/agents/getting-started/quickstart.mdx rename src/content/docs/agents/{examples => guides}/build-mcp-server.mdx (100%) diff --git a/public/_redirects b/public/_redirects index bf46e3e39fc8cc..fa3c491e272781 100644 --- a/public/_redirects +++ b/public/_redirects @@ -98,6 +98,13 @@ # agents /agents/build/prompts/ /workers/get-started/prompting/ 301 +/agents/examples/browse-the-web/ /agents/api-reference/browse-the-web/ 301 +/agents/examples/manage-and-sync-state/ /agents/api-reference/manage-and-sync-state/ 301 +/agents/examples/rag/ /agents/api-reference/rag/ 301 +/agents/examples/run-workflows/ /agents/api-reference/run-workflows/ 301 +/agents/examples/schedule-tasks/ /agents/api-reference/schedule-tasks/ 301 +/agents/examples/using-ai-models/ /agents/api-reference/using-ai-models/ 301 +/agents/examples/websockets/ /agents/api-reference/websockets/ 301 # ai /ai/ /use-cases/ai/ 301 diff --git a/src/content/docs/agents/examples/browse-the-web.mdx b/src/content/docs/agents/api-reference/browse-the-web.mdx similarity index 100% rename from src/content/docs/agents/examples/browse-the-web.mdx rename to src/content/docs/agents/api-reference/browse-the-web.mdx diff --git a/src/content/docs/agents/api-reference/index.mdx b/src/content/docs/agents/api-reference/index.mdx index 3db3271d4f644a..c06356d063d9f8 100644 --- a/src/content/docs/agents/api-reference/index.mdx +++ b/src/content/docs/agents/api-reference/index.mdx @@ -2,11 +2,11 @@ title: API Reference pcx_content_type: navigation sidebar: - order: 5 - group: - hideIndex: true + order: 3 --- import { DirectoryListing } from "~/components" +Learn more about what Agents can do, the `Agent` class, and the APIs that Agents expose: + diff --git a/src/content/docs/agents/examples/manage-and-sync-state.mdx b/src/content/docs/agents/api-reference/manage-and-sync-state.mdx similarity index 96% rename from src/content/docs/agents/examples/manage-and-sync-state.mdx rename to src/content/docs/agents/api-reference/manage-and-sync-state.mdx index 723ad60cb9dd98..bbc5c435b24eda 100644 --- a/src/content/docs/agents/examples/manage-and-sync-state.mdx +++ b/src/content/docs/agents/api-reference/manage-and-sync-state.mdx @@ -198,7 +198,7 @@ The SQL API exposed to an Agent is similar to the one [within Durable Objects](/ ### Use Agent state as model context -You can combine the state and SQL APIs in your Agent with its ability to [call AI models](/agents/examples/using-ai-models/) to include historical context within your prompts to a model. Modern Large Language Models (LLMs) often have very large context windows (up to millions of tokens), which allows you to pull relevant context into your prompt directly. +You can combine the state and SQL APIs in your Agent with its ability to [call AI models](/agents/api-reference/using-ai-models/) to include historical context within your prompts to a model. Modern Large Language Models (LLMs) often have very large context windows (up to millions of tokens), which allows you to pull relevant context into your prompt directly. For example, you can use an Agent's built-in SQL database to pull history, query a model with it, and append to that history ahead of the next call to the model: diff --git a/src/content/docs/agents/examples/rag.mdx b/src/content/docs/agents/api-reference/rag.mdx similarity index 82% rename from src/content/docs/agents/examples/rag.mdx rename to src/content/docs/agents/api-reference/rag.mdx index c836faa1247899..50737465d14c23 100644 --- a/src/content/docs/agents/examples/rag.mdx +++ b/src/content/docs/agents/api-reference/rag.mdx @@ -8,9 +8,9 @@ sidebar: import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/components"; -Agents can use Retrieval Augmented Generation (RAG) to retrieve relevant information and use it augment [calls to AI models](/agents/examples/using-ai-models/). Store a user's chat history to use as context for future conversations, summarize documents to bootstrap an Agent's knowledge base, and/or use data from your Agent's [web browsing](/agents/examples/browse-the-web/) tasks to enhance your Agent's capabilities. +Agents can use Retrieval Augmented Generation (RAG) to retrieve relevant information and use it augment [calls to AI models](/agents/api-reference/using-ai-models/). Store a user's chat history to use as context for future conversations, summarize documents to bootstrap an Agent's knowledge base, and/or use data from your Agent's [web browsing](/agents/api-reference/browse-the-web/) tasks to enhance your Agent's capabilities. -You can use the Agent's own [SQL database](/agents/examples/manage-and-sync-state) as the source of truth for your data and store embeddings in [Vectorize](/vectorize/) (or any other vector-enabled database) to allow your Agent to retrieve relevant information. +You can use the Agent's own [SQL database](/agents/api-reference/manage-and-sync-state) as the source of truth for your data and store embeddings in [Vectorize](/vectorize/) (or any other vector-enabled database) to allow your Agent to retrieve relevant information. ### Vector search diff --git a/src/content/docs/agents/examples/run-workflows.mdx b/src/content/docs/agents/api-reference/run-workflows.mdx similarity index 100% rename from src/content/docs/agents/examples/run-workflows.mdx rename to src/content/docs/agents/api-reference/run-workflows.mdx diff --git a/src/content/docs/agents/examples/schedule-tasks.mdx b/src/content/docs/agents/api-reference/schedule-tasks.mdx similarity index 100% rename from src/content/docs/agents/examples/schedule-tasks.mdx rename to src/content/docs/agents/api-reference/schedule-tasks.mdx diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index 258a4d5c0753a2..0516ad7fff7dce 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -100,7 +100,7 @@ export default MyAgent; :::note -To learn more about how to manage state within an Agent, refer to the documentation on [managing and syncing state](/agents/examples/manage-and-sync-state/). +To learn more about how to manage state within an Agent, refer to the documentation on [managing and syncing state](/agents/api-reference/manage-and-sync-state/). ::: diff --git a/src/content/docs/agents/examples/using-ai-models.mdx b/src/content/docs/agents/api-reference/using-ai-models.mdx similarity index 91% rename from src/content/docs/agents/examples/using-ai-models.mdx rename to src/content/docs/agents/api-reference/using-ai-models.mdx index 5287b0fa581915..98ff4b2cdfd774 100644 --- a/src/content/docs/agents/examples/using-ai-models.mdx +++ b/src/content/docs/agents/api-reference/using-ai-models.mdx @@ -16,7 +16,7 @@ A user can disconnect during a long-running response from a modern reasoning mod ## Calling AI Models -You can call models from any method within an Agent, including from HTTP requests using the [`onRequest`](/agents/api-reference/sdk/) handler, when a [scheduled task](/agents/examples/schedule-tasks/) runs, when handling a WebSocket message in the [`onMessage`](/agents/examples/websockets/) handler, or from any of your own methods. +You can call models from any method within an Agent, including from HTTP requests using the [`onRequest`](/agents/api-reference/sdk/) handler, when a [scheduled task](/agents/api-reference/schedule-tasks/) runs, when handling a WebSocket message in the [`onMessage`](/agents/api-reference/websockets/) handler, or from any of your own methods. Importantly, Agents can call AI models on their own — autonomously — and can handle long-running responses that can take minutes (or longer) to respond in full. @@ -24,7 +24,7 @@ Importantly, Agents can call AI models on their own — autonomously — and can Modern [reasoning models](https://platform.openai.com/docs/guides/reasoning) or "thinking" model can take some time to both generate a response _and_ stream the response back to the client. -Instead of buffering the entire response, or risking the client disconecting, you can stream the response back to the client by using the [WebSocket API](/agents/examples/websockets/). +Instead of buffering the entire response, or risking the client disconecting, you can stream the response back to the client by using the [WebSocket API](/agents/api-reference/websockets/). @@ -75,7 +75,7 @@ export class MyAgent extends Agent { -You can also persist AI model responses back to [Agent's internal state](/agents/examples/manage-and-sync-state/) by using the `this.setState` method. For example, if you run a [scheduled task](/agents/examples/schedule-tasks/), you can store the output of the task and read it later. Or, if a user disconnects, read the message history back and send it to the user when they reconnect. +You can also persist AI model responses back to [Agent's internal state](/agents/api-reference/manage-and-sync-state/) by using the `this.setState` method. For example, if you run a [scheduled task](/agents/api-reference/schedule-tasks/), you can store the output of the task and read it later. Or, if a user disconnects, read the message history back and send it to the user when they reconnect. ### Workers AI @@ -214,7 +214,7 @@ export class MyAgent extends Agent { Agents can call models across any service, including those that support the OpenAI API. For example, you can use the OpenAI SDK to use one of [Google's Gemini models](https://ai.google.dev/gemini-api/docs/openai#node.js) directly from your Agent. -Agents can stream responses back over HTTP using Server Sent Events (SSE) from within an `onRequest` handler, or by using the native [WebSockets](/agents/examples/websockets/) API in your Agent to responses back to a client, which is especially useful for larger models that can take over 30+ seconds to reply. +Agents can stream responses back over HTTP using Server Sent Events (SSE) from within an `onRequest` handler, or by using the native [WebSockets](/agents/api-reference/websockets/) API in your Agent to responses back to a client, which is especially useful for larger models that can take over 30+ seconds to reply. diff --git a/src/content/docs/agents/examples/websockets.mdx b/src/content/docs/agents/api-reference/websockets.mdx similarity index 96% rename from src/content/docs/agents/examples/websockets.mdx rename to src/content/docs/agents/api-reference/websockets.mdx index 8eccb861b04b4e..e973d4fea78cea 100644 --- a/src/content/docs/agents/examples/websockets.mdx +++ b/src/content/docs/agents/api-reference/websockets.mdx @@ -120,7 +120,7 @@ function AgentInterface() { ``` -The `useAgent` hook automatically handles the lifecycle of the connection, ensuring that it is properly initialized and cleaned up when the component mounts and unmounts. You can also [combine `useAgent` with `useState`](/agents/examples/manage-and-sync-state/) to automatically synchronize state across all clients connected to your Agent. +The `useAgent` hook automatically handles the lifecycle of the connection, ensuring that it is properly initialized and cleaned up when the component mounts and unmounts. You can also [combine `useAgent` with `useState`](/agents/api-reference/manage-and-sync-state/) to automatically synchronize state across all clients connected to your Agent. ## Handling WebSocket events diff --git a/src/content/docs/agents/examples/index.mdx b/src/content/docs/agents/examples/index.mdx deleted file mode 100644 index 34f41dbf12ee2e..00000000000000 --- a/src/content/docs/agents/examples/index.mdx +++ /dev/null @@ -1,12 +0,0 @@ ---- -pcx_content_type: reference -title: Examples -sidebar: - order: 3 ---- - -import { DirectoryListing, PackageManagers } from "~/components"; - -Agents running on Cloudflare can: - - diff --git a/src/content/docs/agents/getting-started/quickstart.mdx b/src/content/docs/agents/getting-started/quickstart.mdx new file mode 100644 index 00000000000000..57a61750825541 --- /dev/null +++ b/src/content/docs/agents/getting-started/quickstart.mdx @@ -0,0 +1,33 @@ +--- +title: Quickstart +pcx_content_type: get-started +sidebar: + order: 1 + +--- + +import { Render, PackageManagers, WranglerConfig } from "~/components" + +Get up and running with the `agents-sdk`. + +### Create a new project + + + +TODO + +### Understand the Agent class + +TODO + +### Deploy your Agent + +TODO + +### Teach your Agent + +TODO + +### Next steps + +TODO diff --git a/src/content/docs/agents/getting-started/testing-your-agent.mdx b/src/content/docs/agents/getting-started/testing-your-agent.mdx index d5b2cf20c7aae3..4761d668038dd0 100644 --- a/src/content/docs/agents/getting-started/testing-your-agent.mdx +++ b/src/content/docs/agents/getting-started/testing-your-agent.mdx @@ -2,7 +2,7 @@ title: Testing your Agents pcx_content_type: get-started sidebar: - order: 10 + order: 9 --- diff --git a/src/content/docs/agents/examples/build-mcp-server.mdx b/src/content/docs/agents/guides/build-mcp-server.mdx similarity index 100% rename from src/content/docs/agents/examples/build-mcp-server.mdx rename to src/content/docs/agents/guides/build-mcp-server.mdx diff --git a/src/content/docs/agents/index.mdx b/src/content/docs/agents/index.mdx index 9105bdabe87bbd..12df0294e6275e 100644 --- a/src/content/docs/agents/index.mdx +++ b/src/content/docs/agents/index.mdx @@ -50,9 +50,9 @@ Dive into the [Agent SDK reference](/agents/api-reference/sdk/) to learn more ab We built the `agents-sdk` with a few things in mind: -- **Batteries (state) included**: Agents come with [built-in state management](/agents/examples/manage-and-sync-state/), with the ability to automatically sync state between an Agent and clients, trigger events on state changes, and read+write to each Agent's SQL database. -- **Communicative**: You can connect to an Agent via [WebSockets](/agents/examples/websockets/) and stream updates back to client in real-time. Handle a long-running response from a reasoning model, the results of an [asynchronous workflow](/agents/examples/run-workflows/), or build a chat app that builds on the `useAgent` hook included in the `agents-sdk`. -- **Extensible**: Agents are code. Use the [AI models](/agents/examples/using-ai-models/) you want, bring-your-own headless browser service, pull data from your database hosted in another cloud, add your own methods to your Agent and call them. +- **Batteries (state) included**: Agents come with [built-in state management](/agents/api-reference/manage-and-sync-state/), with the ability to automatically sync state between an Agent and clients, trigger events on state changes, and read+write to each Agent's SQL database. +- **Communicative**: You can connect to an Agent via [WebSockets](/agents/api-reference/websockets/) and stream updates back to client in real-time. Handle a long-running response from a reasoning model, the results of an [asynchronous workflow](/agents/api-reference/run-workflows/), or build a chat app that builds on the `useAgent` hook included in the `agents-sdk`. +- **Extensible**: Agents are code. Use the [AI models](/agents/api-reference/using-ai-models/) you want, bring-your-own headless browser service, pull data from your database hosted in another cloud, add your own methods to your Agent and call them. Agents built with `agents-sdk` can be deployed directly to Cloudflare and run on top of [Durable Objects](/durable-objects/) — which you can think of as stateful micro-servers that can scale to tens of millions — and are able to run wherever they need to. Run your Agents close to a user for low-latency interactivity, close to your data for throughput, and/or anywhere in between. diff --git a/src/content/docs/agents/platform/limits.mdx b/src/content/docs/agents/platform/limits.mdx index b805824abf2775..7279c9b4a66186 100644 --- a/src/content/docs/agents/platform/limits.mdx +++ b/src/content/docs/agents/platform/limits.mdx @@ -24,6 +24,6 @@ Many limits are inherited from those applied to Workers scripts and/or Durable O [^1]: Yes, really. You can have tens of millions of Agents running concurrently, as each Agent is mapped to a [unique Durable Object](/durable-objects/what-are-durable-objects/) (actor). [^2]: You can deploy up to [500 scripts per account](/workers/platform/limits/), but each script (project) can define multiple Agents. Each deployed script can be up to 10 MB on the [Workers Paid Plan](/workers/platform/pricing/#workers) -[^3]: Compute (CPU) time per Agent is limited to 30 seconds, but this is refreshed when an Agent receives a new HTTP request, runs a [scheduled task](/agents/examples/schedule-tasks/), or an incoming WebSocket message. +[^3]: Compute (CPU) time per Agent is limited to 30 seconds, but this is refreshed when an Agent receives a new HTTP request, runs a [scheduled task](/agents/api-reference/schedule-tasks/), or an incoming WebSocket message. From 0063eafcae6f42c94ea8d5ab8363ec421691cee0 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Wed, 26 Feb 2025 15:47:19 -0500 Subject: [PATCH 02/65] sidebar ordering --- src/content/docs/agents/api-reference/browse-the-web.mdx | 2 +- src/content/docs/agents/api-reference/configuration.mdx | 2 +- src/content/docs/agents/api-reference/rag.mdx | 2 +- src/content/docs/agents/api-reference/run-workflows.mdx | 2 +- src/content/docs/agents/api-reference/schedule-tasks.mdx | 2 +- src/content/docs/agents/api-reference/sdk.mdx | 2 +- src/content/docs/agents/api-reference/using-ai-models.mdx | 2 +- src/content/docs/agents/api-reference/websockets.mdx | 2 +- 8 files changed, 8 insertions(+), 8 deletions(-) diff --git a/src/content/docs/agents/api-reference/browse-the-web.mdx b/src/content/docs/agents/api-reference/browse-the-web.mdx index 703759ceb98909..689b856339b5e3 100644 --- a/src/content/docs/agents/api-reference/browse-the-web.mdx +++ b/src/content/docs/agents/api-reference/browse-the-web.mdx @@ -2,7 +2,7 @@ title: Browse the web pcx_content_type: concept sidebar: - order: 99 + order: 7 --- import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/components"; diff --git a/src/content/docs/agents/api-reference/configuration.mdx b/src/content/docs/agents/api-reference/configuration.mdx index b11bab3291ffe4..9912d4cbf01564 100644 --- a/src/content/docs/agents/api-reference/configuration.mdx +++ b/src/content/docs/agents/api-reference/configuration.mdx @@ -2,7 +2,7 @@ title: Configuration pcx_content_type: concept sidebar: - order: 3 + order: 2 --- import { MetaInfo, Render, Type, WranglerConfig } from "~/components"; diff --git a/src/content/docs/agents/api-reference/rag.mdx b/src/content/docs/agents/api-reference/rag.mdx index 50737465d14c23..a354e39f8f1b8f 100644 --- a/src/content/docs/agents/api-reference/rag.mdx +++ b/src/content/docs/agents/api-reference/rag.mdx @@ -2,7 +2,7 @@ title: Retrieval Augmented Generation pcx_content_type: concept sidebar: - order: 7 + order: 9 --- diff --git a/src/content/docs/agents/api-reference/run-workflows.mdx b/src/content/docs/agents/api-reference/run-workflows.mdx index d0c9049a95fd3a..442ba327df4ca2 100644 --- a/src/content/docs/agents/api-reference/run-workflows.mdx +++ b/src/content/docs/agents/api-reference/run-workflows.mdx @@ -2,7 +2,7 @@ title: Run Workflows pcx_content_type: concept sidebar: - order: 4 + order: 5 --- diff --git a/src/content/docs/agents/api-reference/schedule-tasks.mdx b/src/content/docs/agents/api-reference/schedule-tasks.mdx index f654eb984bd426..17930dad971081 100644 --- a/src/content/docs/agents/api-reference/schedule-tasks.mdx +++ b/src/content/docs/agents/api-reference/schedule-tasks.mdx @@ -2,7 +2,7 @@ title: Schedule tasks pcx_content_type: concept sidebar: - order: 5 + order: 4 --- import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/components"; diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index 0516ad7fff7dce..0c2a5733f05e20 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -2,7 +2,7 @@ title: Agents SDK pcx_content_type: concept sidebar: - order: 2 + order: 1 --- diff --git a/src/content/docs/agents/api-reference/using-ai-models.mdx b/src/content/docs/agents/api-reference/using-ai-models.mdx index 98ff4b2cdfd774..50c2542cb3eff2 100644 --- a/src/content/docs/agents/api-reference/using-ai-models.mdx +++ b/src/content/docs/agents/api-reference/using-ai-models.mdx @@ -2,7 +2,7 @@ title: Using AI Models pcx_content_type: concept sidebar: - order: 7 + order: 3 --- diff --git a/src/content/docs/agents/api-reference/websockets.mdx b/src/content/docs/agents/api-reference/websockets.mdx index e973d4fea78cea..7e9ccc7b574861 100644 --- a/src/content/docs/agents/api-reference/websockets.mdx +++ b/src/content/docs/agents/api-reference/websockets.mdx @@ -2,7 +2,7 @@ title: Using WebSockets pcx_content_type: concept sidebar: - order: 2 + order: 8 --- From 6a871eb7100ec8b03514b2d9dc3f44bab93fa428 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Wed, 26 Feb 2025 15:50:36 -0500 Subject: [PATCH 03/65] name --- src/content/docs/agents/api-reference/sdk.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index 0c2a5733f05e20..a636d3399dbe41 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -1,5 +1,5 @@ --- -title: Agents SDK +title: The Agent class pcx_content_type: concept sidebar: order: 1 From 75ff06fb94c324eecd64b98a5956d0807586bb61 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 27 Feb 2025 08:47:44 -0500 Subject: [PATCH 04/65] add API reference --- src/content/docs/agents/api-reference/sdk.mdx | 408 +++++++++++++++++- 1 file changed, 402 insertions(+), 6 deletions(-) diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index a636d3399dbe41..3f4ca3a5a1266b 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -28,13 +28,13 @@ An Agent can have many (millions of) instances: each instance is a separate micr Instances of an Agent are addressed by a unique identifier: that identifier (ID) can be the user ID, an email address, GitHub username, a flight ticket number, an invoice ID, or any other identifier that helps to uniquely identify the instance and for whom it is acting on behalf of. -## The Agent class +### Agent Writing an Agent requires you to define a class that extends the `Agent` class from the `agents-sdk` package. An Agent encapsulates all of the logic for an Agent, including how clients can connect to it, how it stores state, the methods it exposes, and any error handling. -An Agent has the following class methods: +You can also define your own methods on an Agent: it's technically valid to publish an Agent only has your own methods exposed, and create/get Agents directly from a Worker. - +Your own methods can access the Agent's environment variables and bindings on `this.env`, state on `this.setState`, and call other methods on the Agent via `this.yourMethodName`. ```ts import { Agent } from "agents-sdk"; @@ -46,6 +46,397 @@ interface Env { // Pass the Env as a TypeScript type argument // Any services connected to your Agent or Worker as Bindings // are then available on this.env. + +// The core class for creating Agents that can maintain state, orchestrate +// complex AI workflows, schedule tasks, and interact with users and other +// Agents. +class MyAgent extends Agent { + // Optional initial state definition + initialState = { + counter: 0, + messages: [], + lastUpdated: null + }; + + // Called when a new Agent instance starts or wakes from hibernation + async onStart() { + console.log('Agent started with state:', this.state); + } + + // Handle HTTP requests coming to this Agent instance + // Returns a Response object + async onRequest(request: Request): Promise { + return new Response("Hello from Agent!"); + } + + // Called when a WebSocket connection is established + // Access the original request via ctx.request for auth etc. + async onConnect(connection: Connection, ctx: ConnectionContext) { + // Authenticate and accept the connection + connection.accept(); + } + + // Called for each message received on a WebSocket connection + // Message can be string, ArrayBuffer, or ArrayBufferView + async onMessage(connection: Connection, message: WSMessage) { + // Handle incoming messages + connection.send("Received your message"); + } + + // Handle WebSocket connection errors + async onError(connection: Connection, error: unknown): Promise { + console.error(`Connection error:`, error); + } + + // Handle WebSocket connection close events + async onClose(connection: Connection, code: number, reason: string, wasClean: boolean): Promise { + console.log(`Connection closed: ${code} - ${reason}`); + } + + // Called when the Agent's state is updated from any source + // source can be "server" or a client Connection + onStateUpdate(state: State, source: "server" | Connection) { + console.log("State updated:", state, "Source:", source); + } + + // You can define your own custom methods to be called by requests, + // WebSocket messages, or scheduled tasks + async customProcessingMethod(data: any) { + // Process data, update state, schedule tasks, etc. + this.setState({ ...this.state, lastUpdated: new Date() }); + } +} +``` + +### Connection Handling + +#### Connection + +Represents a WebSocket connection to an Agent. + +```ts +// WebSocket connection interface +interface Connection { + // Unique ID for this connection + id: string; + + // Client-specific state attached to this connection + state: State; + + // Update the connection's state + setState(state: State): void; + + // Accept an incoming WebSocket connection + accept(): void; + + // Close the WebSocket connection with optional code and reason + close(code?: number, reason?: string): void; + + // Send a message to the client + // Can be string, ArrayBuffer, or ArrayBufferView + send(message: string | ArrayBuffer | ArrayBufferView): void; +} +``` + +#### WSMessage + +Types of messages that can be received from a WebSocket. + +```ts +// Types of messages that can be received from WebSockets +type WSMessage = string | ArrayBuffer | ArrayBufferView; +``` + +#### ConnectionContext + +Context information for a WebSocket connection. + +```ts +// Context available during WebSocket connection +interface ConnectionContext { + // The original HTTP request that initiated the WebSocket connection + request: Request; +} +``` + +### State Management + +#### State Management + +Methods and types for managing Agent state. + +```ts +// State management in the Agent class +class Agent { + // Initial state that will be set if no state exists yet + initialState: State = {} as unknown as State; + + // Current state of the Agent, persisted across restarts + get state(): State; + + // Update the Agent's state + // Persists to storage and notifies all connected clients + setState(state: State): void; + + // Called when state is updated from any source + // Override to react to state changes + onStateUpdate(state: State, source: "server" | Connection): void; +} +``` + +### Scheduling + +#### Scheduling Tasks + +Schedule tasks to run at a specified time in the future. + +```ts +// Scheduling API for running tasks in the future +class Agent { + // Schedule a task to run in the future + // when: seconds from now, specific Date, or cron expression + // callback: method name on the Agent to call + // payload: data to pass to the callback + // Returns a Schedule object with the task ID + async schedule( + when: Date | string | number, + callback: keyof this, + payload?: T + ): Promise>; + + // Get a scheduled task by ID + // Returns undefined if the task doesn't exist + async getSchedule(id: string): Promise | undefined>; + + // Get all scheduled tasks matching the criteria + // Returns an array of Schedule objects + getSchedules(criteria?: { + description?: string; + id?: string; + type?: "scheduled" | "delayed" | "cron"; + timeRange?: { start?: Date; end?: Date }; + }): Schedule[]; + + // Cancel a scheduled task by ID + // Returns true if the task was cancelled, false otherwise + async cancelSchedule(id: string): Promise; +} +``` + +#### Schedule Object + +Represents a scheduled task. + +```ts +// Represents a scheduled task +type Schedule = { + // Unique identifier for the schedule + id: string; + // Name of the method to be called + callback: string; + // Data to be passed to the callback + payload: T; +} & ( + | { + // One-time execution at a specific time + type: "scheduled"; + // Timestamp when the task should execute + time: number; + } + | { + // Delayed execution after a certain time + type: "delayed"; + // Timestamp when the task should execute + time: number; + // Number of seconds to delay execution + delayInSeconds: number; + } + | { + // Recurring execution based on cron expression + type: "cron"; + // Timestamp for the next execution + time: number; + // Cron expression defining the schedule + cron: string; + } +); +``` + +### SQL Database Access + +#### SQL Query API + +Execute SQL queries against the Agent's built-in SQLite database. + +```ts +// SQL query API for the Agent's embedded database +class Agent { + // Execute a SQL query with tagged template literals + // Returns an array of rows matching the query + sql>( + strings: TemplateStringsArray, + ...values: any[] + ): T[]; +} +``` + +### Client API + +#### AgentClient + +Client for connecting to an Agent from the browser. + +```ts +import { AgentClient } from "agents-sdk/client"; + +// Options for creating an AgentClient +type AgentClientOptions = { + // Name of the agent to connect to (class name in kebab-case) + agent: string; + // Name of the specific Agent instance (optional, defaults to "default") + name?: string; + // Other WebSocket options like host, protocol, etc. +}; + +// WebSocket client for connecting to an Agent +class AgentClient extends WebSocket { + constructor(opts: AgentClientOptions); + + // Add event listeners for "message", "open", "close", "error" events + addEventListener(type: string, listener: EventListener): void; + + // Send a message to the Agent + send(message: string | ArrayBufferLike | Blob | ArrayBufferView): void; +} +``` + +#### agentFetch + +Make an HTTP request to an Agent. + +```ts +import { agentFetch } from "agents-sdk/client"; + +// Options for the agentFetch function +type AgentClientFetchOptions = { + // Name of the agent to connect to + agent: string; + // Name of the specific Agent instance (optional) + name?: string; +}; + +// Make an HTTP request to an Agent +// Returns a Promise resolving to a Response +function agentFetch( + opts: AgentClientFetchOptions, + init?: RequestInit +): Promise; +``` + +### React Integration + +#### useAgent + +React hook for connecting to an Agent. + +```ts +import { useAgent } from "agents-sdk/react"; + +// Options for the useAgent hook +type UseAgentOptions = { + // Name of the agent to connect to + agent: string; + // Name of the specific Agent instance (optional) + name?: string; + // Called when the Agent's state is updated + onStateUpdate?: (state: State, source: "server" | "client") => void; + // Standard WebSocket event handlers + onMessage?: (event: MessageEvent) => void; + onOpen?: (event: Event) => void; + onClose?: (event: CloseEvent) => void; + onError?: (event: Event) => void; +}; + +// React hook for connecting to an Agent +// Returns a WebSocket connection with setState method +function useAgent( + options: UseAgentOptions +): WebSocket & { + // Update the Agent's state + setState: (state: State) => void +}; +``` + +### Chat Agent + +#### AIChatAgent + +Extension of Agent with built-in chat capabilities. + +```ts +import { AIChatAgent } from "agents-sdk/ai-chat-agent"; +import { Message, StreamTextOnFinishCallback } from "ai"; + +// Base class for chat-specific agents +class AIChatAgent extends Agent { + // Array of chat messages for the current conversation + messages: Message[]; + + // Handle incoming chat messages and generate a response + // onFinish is called when the response is complete + async onChatMessage( + onFinish: StreamTextOnFinishCallback + ): Promise; + + // Save messages on the server side and trigger AI response + async saveMessages(messages: Message[]): Promise; +} +``` + +### AI React Hooks + +#### useAgentChat + +React hook for building AI chat interfaces using an Agent. + +```ts +import { useAgentChat } from "agents-sdk/ai-react"; +import { useAgent } from "agents-sdk/react"; +import type { Message } from "ai"; + +// Options for the useAgentChat hook +type UseAgentChatOptions = { + // Agent connection from useAgent + agent: ReturnType; + // Initial messages for the chat + initialMessages?: Message[]; + // Maximum number of back-and-forth interactions + maxSteps?: number; + // Other options from standard chat hooks (temperature, etc.) +}; + +// React hook for building AI chat interfaces using an Agent +function useAgentChat(options: UseAgentChatOptions): { + // Current chat messages + messages: Message[]; + // User input state + input: string; + // Handle input changes + handleInputChange: (e: React.ChangeEvent) => void; + // Submit the current input + handleSubmit: (e: React.FormEvent) => void; + // Clear chat history on both client and Agent + clearHistory: () => void; + // Update messages and sync with Agent + setMessages: (messages: Message[]) => void; + // Other properties like isLoading, error, etc. +}; +``` + +```ts +import { Agent } from "agents-sdk"; + + class MyAgent extends Agent { // Called when an Agent is started (or woken up) async onStart() { @@ -104,11 +495,9 @@ To learn more about how to manage state within an Agent, refer to the documentat ::: -You can also define your own methods on an Agent: it's technically valid to publish an Agent only has your own methods exposed, and create/get Agents directly from a Worker. -Your own methods can access the Agent's environment variables and bindings on `this.env`, state on `this.setState`, and call other methods on the Agent via `this.yourMethodName`. -## Calling Agents from Workers +## Routing to Agents You can create and run an instance of an Agent directly from a Worker in one of three ways: @@ -160,3 +549,10 @@ export class MyAgent extends Agent { } ``` + + +### Next steps + +* [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the `agents-sdk` and deploy it to Workers. +* Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. +* [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the `agents-sdk` and [Workflows](/workflows). From 021571307dc496a07e5c9aa73589cdc6db8807ac Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 27 Feb 2025 08:50:21 -0500 Subject: [PATCH 05/65] fix intro --- src/content/docs/agents/api-reference/sdk.mdx | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index 3f4ca3a5a1266b..58fda211dea7c5 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -1,5 +1,5 @@ --- -title: The Agent class +title: Agents SDK API Reference pcx_content_type: concept sidebar: order: 1 @@ -8,7 +8,9 @@ sidebar: import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/components"; -At its most basic, an Agent is a JavaScript class that extends the `Agent` class from the `agents-sdk` package. An Agent encapsulates all of the logic for an Agent, including how clients can connect to it, how it stores state, the methods it exposes, and any error handling. +This page provides an overview of the Agent SDK API, including the `Agent` class, methods and properties built-in to the `agents-sdk`. + +An Agent is a JavaScript class that extends the `Agent` class from the `agents-sdk` package. An Agent encapsulates all of the logic for an Agent, including how clients can connect to it, how it stores state, the methods it exposes, and any error handling. @@ -495,8 +497,6 @@ To learn more about how to manage state within an Agent, refer to the documentat ::: - - ## Routing to Agents You can create and run an instance of an Agent directly from a Worker in one of three ways: From 9e043e87d865d4599b4d1266a69f1a6b4a20c1da Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 27 Feb 2025 08:54:16 -0500 Subject: [PATCH 06/65] store and sync state --- public/_redirects | 2 +- src/content/docs/agents/api-reference/sdk.mdx | 2 +- ...ge-and-sync-state.mdx => store-and-sync-state.mdx} | 11 +++++++---- .../docs/agents/api-reference/using-ai-models.mdx | 2 +- src/content/docs/agents/api-reference/websockets.mdx | 2 +- src/content/docs/agents/index.mdx | 2 +- 6 files changed, 12 insertions(+), 9 deletions(-) rename src/content/docs/agents/api-reference/{manage-and-sync-state.mdx => store-and-sync-state.mdx} (95%) diff --git a/public/_redirects b/public/_redirects index fa3c491e272781..7cf5508252820a 100644 --- a/public/_redirects +++ b/public/_redirects @@ -99,7 +99,7 @@ # agents /agents/build/prompts/ /workers/get-started/prompting/ 301 /agents/examples/browse-the-web/ /agents/api-reference/browse-the-web/ 301 -/agents/examples/manage-and-sync-state/ /agents/api-reference/manage-and-sync-state/ 301 +/agents/examples/manage-and-sync-state/ /agents/api-reference/store-and-sync-state/ 301 /agents/examples/rag/ /agents/api-reference/rag/ 301 /agents/examples/run-workflows/ /agents/api-reference/run-workflows/ 301 /agents/examples/schedule-tasks/ /agents/api-reference/schedule-tasks/ 301 diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index 58fda211dea7c5..ddb0101365d000 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -493,7 +493,7 @@ export default MyAgent; :::note -To learn more about how to manage state within an Agent, refer to the documentation on [managing and syncing state](/agents/api-reference/manage-and-sync-state/). +To learn more about how to manage state within an Agent, refer to the documentation on [managing and syncing state](/agents/api-reference/store-and-sync-state/). ::: diff --git a/src/content/docs/agents/api-reference/manage-and-sync-state.mdx b/src/content/docs/agents/api-reference/store-and-sync-state.mdx similarity index 95% rename from src/content/docs/agents/api-reference/manage-and-sync-state.mdx rename to src/content/docs/agents/api-reference/store-and-sync-state.mdx index bbc5c435b24eda..7e55372ac6760a 100644 --- a/src/content/docs/agents/api-reference/manage-and-sync-state.mdx +++ b/src/content/docs/agents/api-reference/store-and-sync-state.mdx @@ -1,5 +1,5 @@ --- -title: Manage and sync state +title: Store and sync state pcx_content_type: concept sidebar: order: 6 @@ -7,14 +7,17 @@ sidebar: import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/components"; -Every Agent has built-in state management capabilities, including built-in storage and synchronization between the Agent and frontend applications. State within an Agent is: +Every Agent has built-in state management capabilities, including built-in storage and synchronization between the Agent and frontend applications. -* Persisted across Agent restarts: data is permanently persisted within the Agent. +State within an Agent is: + +* Persisted across Agent restarts: data is permanently stored within an Agent. * Automatically serialized/deserialized: you can store any JSON-serializable data. * Immediately consistent within the Agent: read your own writes. * Thread-safe for concurrent updates +* Fast: state is colocated wherever the Agent is running. Reads and writes do not need to traverse the network. -Agent state is stored in a SQL database that is embedded within each individual Agent instance: you can interact with it using the higher-level `this.setState` API (recommended) or by directly querying the database with `this.sql`. +Agent state is stored in a SQL database that is embedded within each individual Agent instance: you can interact with it using the higher-level `this.setState` API (recommended), which allows you to sync state and trigger events on state changes, or by directly querying the database with `this.sql`. #### State API diff --git a/src/content/docs/agents/api-reference/using-ai-models.mdx b/src/content/docs/agents/api-reference/using-ai-models.mdx index 50c2542cb3eff2..d59fa803bbb9f6 100644 --- a/src/content/docs/agents/api-reference/using-ai-models.mdx +++ b/src/content/docs/agents/api-reference/using-ai-models.mdx @@ -75,7 +75,7 @@ export class MyAgent extends Agent { -You can also persist AI model responses back to [Agent's internal state](/agents/api-reference/manage-and-sync-state/) by using the `this.setState` method. For example, if you run a [scheduled task](/agents/api-reference/schedule-tasks/), you can store the output of the task and read it later. Or, if a user disconnects, read the message history back and send it to the user when they reconnect. +You can also persist AI model responses back to [Agent's internal state](/agents/api-reference/store-and-sync-state/) by using the `this.setState` method. For example, if you run a [scheduled task](/agents/api-reference/schedule-tasks/), you can store the output of the task and read it later. Or, if a user disconnects, read the message history back and send it to the user when they reconnect. ### Workers AI diff --git a/src/content/docs/agents/api-reference/websockets.mdx b/src/content/docs/agents/api-reference/websockets.mdx index 7e9ccc7b574861..be95e3af9f9649 100644 --- a/src/content/docs/agents/api-reference/websockets.mdx +++ b/src/content/docs/agents/api-reference/websockets.mdx @@ -120,7 +120,7 @@ function AgentInterface() { ``` -The `useAgent` hook automatically handles the lifecycle of the connection, ensuring that it is properly initialized and cleaned up when the component mounts and unmounts. You can also [combine `useAgent` with `useState`](/agents/api-reference/manage-and-sync-state/) to automatically synchronize state across all clients connected to your Agent. +The `useAgent` hook automatically handles the lifecycle of the connection, ensuring that it is properly initialized and cleaned up when the component mounts and unmounts. You can also [combine `useAgent` with `useState`](/agents/api-reference/store-and-sync-state/) to automatically synchronize state across all clients connected to your Agent. ## Handling WebSocket events diff --git a/src/content/docs/agents/index.mdx b/src/content/docs/agents/index.mdx index 12df0294e6275e..5c679ff699c194 100644 --- a/src/content/docs/agents/index.mdx +++ b/src/content/docs/agents/index.mdx @@ -50,7 +50,7 @@ Dive into the [Agent SDK reference](/agents/api-reference/sdk/) to learn more ab We built the `agents-sdk` with a few things in mind: -- **Batteries (state) included**: Agents come with [built-in state management](/agents/api-reference/manage-and-sync-state/), with the ability to automatically sync state between an Agent and clients, trigger events on state changes, and read+write to each Agent's SQL database. +- **Batteries (state) included**: Agents come with [built-in state management](/agents/api-reference/store-and-sync-state/), with the ability to automatically sync state between an Agent and clients, trigger events on state changes, and read+write to each Agent's SQL database. - **Communicative**: You can connect to an Agent via [WebSockets](/agents/api-reference/websockets/) and stream updates back to client in real-time. Handle a long-running response from a reasoning model, the results of an [asynchronous workflow](/agents/api-reference/run-workflows/), or build a chat app that builds on the `useAgent` hook included in the `agents-sdk`. - **Extensible**: Agents are code. Use the [AI models](/agents/api-reference/using-ai-models/) you want, bring-your-own headless browser service, pull data from your database hosted in another cloud, add your own methods to your Agent and call them. From 5152c5960d27d1f788d2ac071b573763ee175f6d Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 27 Feb 2025 08:58:01 -0500 Subject: [PATCH 07/65] SDK ref --- src/content/docs/agents/api-reference/sdk.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index ddb0101365d000..9e523c43936ac9 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -1,5 +1,5 @@ --- -title: Agents SDK API Reference +title: Agents SDK Reference pcx_content_type: concept sidebar: order: 1 From e065236030fb4d2fda48cd5382edcc30be37c3fa Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 27 Feb 2025 09:01:33 -0500 Subject: [PATCH 08/65] initial state --- .../api-reference/store-and-sync-state.mdx | 30 +++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/src/content/docs/agents/api-reference/store-and-sync-state.mdx b/src/content/docs/agents/api-reference/store-and-sync-state.mdx index 7e55372ac6760a..3a7fef7d9230a9 100644 --- a/src/content/docs/agents/api-reference/store-and-sync-state.mdx +++ b/src/content/docs/agents/api-reference/store-and-sync-state.mdx @@ -93,6 +93,36 @@ export class MyAgent extends Agent { +### Set the initial state for an Agent + +You can also set the initial state for an Agent via the `initialState` property on the `Agent` class: + + + +```ts +type State = { + counter: number; + text: string; + color: string; +}; + +class MyAgent extends Agent { + // Set a default, initial state + initialState = { + counter: 0, + text: "", + color: "#3B82F6", + }; + + doSomething() { + console.log(this.state); // {counter: 0, text: "", color: "#3B82F6"}, if you haven't set the state yet + } +} +``` + + +Any initial state is synced to clients connecting via [the `useAgent` hook](#synchronizing-state). + ### Synchronizing state Clients can connect to an Agent and stay synchronized with its state using the React hooks provided as part of `agents-sdk/react`. From 92f6ce42c6d6d266b97c3cf8b24286480db337ea Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 27 Feb 2025 09:02:58 -0500 Subject: [PATCH 09/65] fix MDX syntax --- src/content/docs/agents/api-reference/sdk.mdx | 2 -- 1 file changed, 2 deletions(-) diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index 9e523c43936ac9..d9f42e6ea5da44 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -489,8 +489,6 @@ class MyAgent extends Agent { export default MyAgent; ``` - - :::note To learn more about how to manage state within an Agent, refer to the documentation on [managing and syncing state](/agents/api-reference/store-and-sync-state/). From f6739043cb5cba89ca19c04e750659e0e38d9625 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 27 Feb 2025 11:10:23 -0500 Subject: [PATCH 10/65] improve API ref --- src/content/docs/agents/api-reference/sdk.mdx | 96 +++++++------------ 1 file changed, 36 insertions(+), 60 deletions(-) diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index d9f42e6ea5da44..b32fa0ec0f30f5 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -74,7 +74,10 @@ class MyAgent extends Agent { // Called when a WebSocket connection is established // Access the original request via ctx.request for auth etc. async onConnect(connection: Connection, ctx: ConnectionContext) { - // Authenticate and accept the connection + // Authenticate the connection + // Access the Request on ctx.request to inspect headers, cookies and the URL + + // Accept the connection connection.accept(); } @@ -110,7 +113,7 @@ class MyAgent extends Agent { } ``` -### Connection Handling +### WebSocket connection Handling #### Connection @@ -186,6 +189,14 @@ class Agent { } ``` +```ts +// Example usage: +this.setState({ + ...this.state, + counter: this.state.counter + 1, +}); +``` + ### Scheduling #### Scheduling Tasks @@ -225,7 +236,7 @@ class Agent { } ``` -#### Schedule Object +#### Schedule object Represents a scheduled task. @@ -264,11 +275,16 @@ type Schedule = { ); ``` +```ts +// Schedule a task that calls a method after a delay +let task = await this.schedule(300, "methodToCall", { message: "data-to-send-to-method" }); +``` + ### SQL Database Access #### SQL Query API -Execute SQL queries against the Agent's built-in SQLite database. +Execute SQL queries against the Agent's built-in SQLite database using the `this.sql` method within any method on your `Agent` class. ```ts // SQL query API for the Agent's embedded database @@ -282,6 +298,14 @@ class Agent { } ``` +```ts +// Example usage +let user = this.sql` + SELECT * FROM users WHERE id = ${userId}`; +``` + +Visit the documentation on [storing and syncing state](/agents/api-reference/store-and-sync-state/) to learn more about the `this.setState` and `this.sql` APIs. + ### Client API #### AgentClient @@ -337,6 +361,8 @@ function agentFetch( ### React Integration +The `agents-sdk` provides a React API for simplifying connection and routing to Agents from front-end frameworks, including React Router (Remix), Next.js, and Astro. + #### useAgent React hook for connecting to an Agent. @@ -371,9 +397,13 @@ function useAgent( ### Chat Agent +The `agents-sdk` exposes an `AIChatAgent` class that extends the `Agent` class and exposes an `onChatMessage` method that simplifies building interactive chat agents. + +You can combine this with the `useAgentChat` React hook from the `agents-sdk/ai-react` package to manage chat state and messages between a user and your Agent(s). + #### AIChatAgent -Extension of Agent with built-in chat capabilities. +Extension of the `Agent` class with built-in chat capabilities. ```ts import { AIChatAgent } from "agents-sdk/ai-chat-agent"; @@ -390,7 +420,7 @@ class AIChatAgent extends Agent { onFinish: StreamTextOnFinishCallback ): Promise; - // Save messages on the server side and trigger AI response + // Persist messages within the Agent's local storage. async saveMessages(messages: Message[]): Promise; } ``` @@ -435,60 +465,6 @@ function useAgentChat(options: UseAgentChatOptions): { }; ``` -```ts -import { Agent } from "agents-sdk"; - - -class MyAgent extends Agent { - // Called when an Agent is started (or woken up) - async onStart() { - // Can access this.env and this.state - console.log('Agent started'); - } - - // Called when a HTTP request is received - // Can be connected to routeAgentRequest to automatically route - // requests to an individual Agent. - async onRequest(request: Request) { - console.log("Received request!"); - } - - // Called when a WebSocket connection is established - async onConnect(connection: Connection, ctx: ConnectionContext) { - console.log("Connected!"); - // Check the request at ctx.request - // Authenticate the client - // Give them the OK. - connection.accept(); - } - - // Called for each message received on the WebSocket connection - async onMessage(connection: Connection, message: WSMessage) { - console.log(`message from client ID: ${connection.id}`) - // Send messages back to the client - connection.send("Hello!"); - } - - // WebSocket error and disconnection (close) handling. - async onError(connection: Connection, error: unknown): Promise { - console.error(`WS error: ${error}`); - } - - async onClose(connection: Connection, code: number, reason: string, wasClean: boolean): Promise { - console.log(`WS closed: ${code} - ${reason} - wasClean: ${wasClean}`); - connection.close(); - } - - // Called when the Agent's state is updated - // via this.setState or the useAgent hook from the agents-sdk/react package. - async onStateUpdate(state: any) { - // 'state' will be typed if you supply a type parameter to the Agent class. - } -} - -export default MyAgent; -``` - :::note To learn more about how to manage state within an Agent, refer to the documentation on [managing and syncing state](/agents/api-reference/store-and-sync-state/). From 8f93e0a9f8381163ffb3d255dd7da98ceac73a20 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 27 Feb 2025 11:11:51 -0500 Subject: [PATCH 11/65] fix broken link --- src/content/docs/agents/api-reference/rag.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/docs/agents/api-reference/rag.mdx b/src/content/docs/agents/api-reference/rag.mdx index a354e39f8f1b8f..f3f04610cc2707 100644 --- a/src/content/docs/agents/api-reference/rag.mdx +++ b/src/content/docs/agents/api-reference/rag.mdx @@ -10,7 +10,7 @@ import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/com Agents can use Retrieval Augmented Generation (RAG) to retrieve relevant information and use it augment [calls to AI models](/agents/api-reference/using-ai-models/). Store a user's chat history to use as context for future conversations, summarize documents to bootstrap an Agent's knowledge base, and/or use data from your Agent's [web browsing](/agents/api-reference/browse-the-web/) tasks to enhance your Agent's capabilities. -You can use the Agent's own [SQL database](/agents/api-reference/manage-and-sync-state) as the source of truth for your data and store embeddings in [Vectorize](/vectorize/) (or any other vector-enabled database) to allow your Agent to retrieve relevant information. +You can use the Agent's own [SQL database](/agents/api-reference/store-and-sync-state) as the source of truth for your data and store embeddings in [Vectorize](/vectorize/) (or any other vector-enabled database) to allow your Agent to retrieve relevant information. ### Vector search From 129a10bc7ed8333f5b88a073d6c2a0c1f1307e91 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 27 Feb 2025 17:26:54 -0500 Subject: [PATCH 12/65] re-title --- src/content/docs/agents/api-reference/sdk.mdx | 2 +- src/content/docs/agents/platform/index.mdx | 4 +--- 2 files changed, 2 insertions(+), 4 deletions(-) diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index b32fa0ec0f30f5..6d8d20bd26fd1b 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -1,5 +1,5 @@ --- -title: Agents SDK Reference +title: The Agent API pcx_content_type: concept sidebar: order: 1 diff --git a/src/content/docs/agents/platform/index.mdx b/src/content/docs/agents/platform/index.mdx index 77d033f1bfa25a..59ce231e2cb7b7 100644 --- a/src/content/docs/agents/platform/index.mdx +++ b/src/content/docs/agents/platform/index.mdx @@ -1,6 +1,6 @@ --- pcx_content_type: reference -title: Reference +title: Platform sidebar: order: 10 group: @@ -9,6 +9,4 @@ sidebar: import { DirectoryListing } from "~/components"; -Build AI Agents on Cloudflare - From b8b1d21a50e5538fb8d3882820cdcf0c3287923d Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 6 Mar 2025 07:39:55 -0600 Subject: [PATCH 13/65] updates --- src/content/docs/agents/api-reference/sdk.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index 6d8d20bd26fd1b..3f421f3dd0c370 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -1,4 +1,4 @@ ---- +-payload-- title: The Agent API pcx_content_type: concept sidebar: From 15f20cf8fc58c5d212181c167f9c63beec157c40 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 6 Mar 2025 07:52:23 -0600 Subject: [PATCH 14/65] fix frontmatter --- src/content/docs/agents/api-reference/sdk.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index 3f421f3dd0c370..6d8d20bd26fd1b 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -1,4 +1,4 @@ --payload-- +--- title: The Agent API pcx_content_type: concept sidebar: From 4ada4fe05178c3834491438297f76ea49fee63e7 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 6 Mar 2025 09:53:44 -0600 Subject: [PATCH 15/65] calling agents --- .../agents/api-reference/calling-agents.mdx | 87 +++++++++++++++++++ src/content/docs/agents/api-reference/sdk.mdx | 51 ----------- src/content/docs/agents/platform/llms.txt.mdx | 9 -- 3 files changed, 87 insertions(+), 60 deletions(-) create mode 100644 src/content/docs/agents/api-reference/calling-agents.mdx delete mode 100644 src/content/docs/agents/platform/llms.txt.mdx diff --git a/src/content/docs/agents/api-reference/calling-agents.mdx b/src/content/docs/agents/api-reference/calling-agents.mdx new file mode 100644 index 00000000000000..f2bd5b6fbb81eb --- /dev/null +++ b/src/content/docs/agents/api-reference/calling-agents.mdx @@ -0,0 +1,87 @@ +--- +title: Calling Agents +pcx_content_type: concept +sidebar: + order: 2 + +--- + +import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/components"; + +This page shows you how to call your Agents from Workers, including approaches for how to address and route requests to Agents. + +## Calling your Agent + +TODO: + +- created on the fly +- retrieved if exists +- naming + +You can create and run an instance of an Agent directly from a Worker in one of three ways: + +1. Using the `routeAgentRequest` helper: this will automatically map requests to an individual Agent based on the `/agents/:agent/:name` URL pattern. The value of `:agent` will be the name of your Agent class converted to `kebab-case`, and the value of `:name` will be the name of the Agent instance you want to create or retrieve. +2. Calling `getAgentByName`, which will create a new Agent instance if none exists by that name, or retrieve a handle to an existing instance. +3. The [Durable Objects stub API](/durable-objects/api/id/), which provides a lower level API for creating and retrieving Agents. + +These three patterns are shown below: we recommend using either `routeAgentRequest` or `getAgentByName`, which help avoid some boilerplate. + + + +```ts +import { Agent, AgentNamespace, getAgentByName, routeAgentRequest } from 'agents-sdk'; + +interface Env { + // Define your Agent on the environment here + // Passing your Agent class as a TypeScript type parameter allows you to call + // methods defined on your Agent. + MyAgent: AgentNamespace; +} + +export default { + async fetch(request, env, ctx): Promise { + // Routed addressing + // Automatically routes HTTP requests and/or WebSocket connections to /agents/:agent/:name + // Best for: connecting React apps directly to Agents using useAgent from agents-sdk/react + (await routeAgentRequest(request, env)) || Response.json({ msg: 'no agent here' }, { status: 404 }); + + // Named addressing + // Best for: convenience method for creating or retrieving an agent by name/ID. + let namedAgent = getAgentByName(env.MyAgent, 'my-unique-agent-id'); + // Pass the incoming request straight to your Agent + let namedResp = (await namedAgent).fetch(request); + + // Durable Objects-style addressing + // Best for: controlling ID generation, associating IDs with your existing systems, + // and customizing when/how an Agent is created or invoked + const id = env.MyAgent.newUniqueId(); + const agent = env.MyAgent.get(id); + // Pass the incoming request straight to your Agent + let resp = await agent.fetch(request); + + return Response.json({ hello: 'visit https://developers.cloudflare.com/agents for more' }); + }, +} satisfies ExportedHandler; + +export class MyAgent extends Agent { + // Your Agent implementation goes here +} +``` + + +### Naming your Agents + +TODO: + +- naming strategies +- how to address them directly +- validating names before you route to an agent +- `this.name` + + + +### Next steps + +* [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the `agents-sdk` and deploy it to Workers. +* Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. +* [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the `agents-sdk` and [Workflows](/workflows). diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index 6d8d20bd26fd1b..83dd9dce401bec 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -471,58 +471,7 @@ To learn more about how to manage state within an Agent, refer to the documentat ::: -## Routing to Agents -You can create and run an instance of an Agent directly from a Worker in one of three ways: - -1. Using the `routeAgentRequest` helper: this will automatically map requests to an individual Agent based on the `/agents/:agent/:name` URL pattern. The value of `:agent` will be the name of your Agent class converted to `kebab-case`, and the value of `:name` will be the name of the Agent instance you want to create or retrieve. -2. Calling `getAgentByName`, which will create a new Agent instance if none exists by that name, or retrieve a handle to an existing instance. -3. The [Durable Objects stub API](/durable-objects/api/id/), which provides a lower level API for creating and retrieving Agents. - -These three patterns are shown below: we recommend using either `routeAgentRequest` or `getAgentByName`, which help avoid some boilerplate. - - - -```ts -import { Agent, AgentNamespace, getAgentByName, routeAgentRequest } from 'agents-sdk'; - -interface Env { - // Define your Agent on the environment here - // Passing your Agent class as a TypeScript type parameter allows you to call - // methods defined on your Agent. - MyAgent: AgentNamespace; -} - -export default { - async fetch(request, env, ctx): Promise { - // Routed addressing - // Automatically routes HTTP requests and/or WebSocket connections to /agents/:agent/:name - // Best for: connecting React apps directly to Agents using useAgent from agents-sdk/react - (await routeAgentRequest(request, env)) || Response.json({ msg: 'no agent here' }, { status: 404 }); - - // Named addressing - // Best for: convenience method for creating or retrieving an agent by name/ID. - let namedAgent = getAgentByName(env.MyAgent, 'my-unique-agent-id'); - // Pass the incoming request straight to your Agent - let namedResp = (await namedAgent).fetch(request); - - // Durable Objects-style addressing - // Best for: controlling ID generation, associating IDs with your existing systems, - // and customizing when/how an Agent is created or invoked - const id = env.MyAgent.newUniqueId(); - const agent = env.MyAgent.get(id); - // Pass the incoming request straight to your Agent - let resp = await agent.fetch(request); - - return Response.json({ hello: 'visit https://developers.cloudflare.com/agents for more' }); - }, -} satisfies ExportedHandler; - -export class MyAgent extends Agent { - // Your Agent implementation goes here -} -``` - ### Next steps diff --git a/src/content/docs/agents/platform/llms.txt.mdx b/src/content/docs/agents/platform/llms.txt.mdx deleted file mode 100644 index 9e4d540f2fd35d..00000000000000 --- a/src/content/docs/agents/platform/llms.txt.mdx +++ /dev/null @@ -1,9 +0,0 @@ ---- -pcx_content_type: navigation -title: llms.txt -external_link: /llms.txt -sidebar: - order: 99 -head: [] -description: Provide context to your AI models & tools when building on Cloudflare. ---- From d6b891a64270bddb15a89565b3ae53316a36ae5d Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Sat, 8 Mar 2025 11:52:26 -0500 Subject: [PATCH 16/65] updates --- .../agents/api-reference/calling-agents.mdx | 44 ++++++++++++++----- .../agents/api-reference/configuration.mdx | 2 +- src/content/docs/agents/api-reference/sdk.mdx | 2 - 3 files changed, 34 insertions(+), 14 deletions(-) diff --git a/src/content/docs/agents/api-reference/calling-agents.mdx b/src/content/docs/agents/api-reference/calling-agents.mdx index f2bd5b6fbb81eb..217221d80d5255 100644 --- a/src/content/docs/agents/api-reference/calling-agents.mdx +++ b/src/content/docs/agents/api-reference/calling-agents.mdx @@ -8,15 +8,11 @@ sidebar: import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/components"; -This page shows you how to call your Agents from Workers, including approaches for how to address and route requests to Agents. +Learn how to call your Agents from Workers, including how to create Agents on-the-fly, address them, and route requests to specific instances of an Agent. ## Calling your Agent -TODO: - -- created on the fly -- retrieved if exists -- naming +Agents are created on-the-fly and can serve multiple requests concurrently. Each Agent instance is isolated from other instances, can maintain its own state, and has a unique address. You can create and run an instance of an Agent directly from a Worker in one of three ways: @@ -71,17 +67,43 @@ export class MyAgent extends Agent { ### Naming your Agents -TODO: +When creating names for your Agents, think about what the Agent represents. A unique user? A team or company? A room or channel for collaboration? + +A consistent approach to naming allows you to direct incoming requests directly to the right Agent, and deterministically route new requests back to that Agent, no matter where the client is in the world. For a given Agent definition (or 'namespace' in the code below), there can be millions (or tens of millions) of instances of that Agent, each handling their own requests, making calls to LLMs, and maintaining their own state. + +For example, you might have an Agent for every user using your new AI-based code editor. In that case, you'd want to create Agents based on the user ID from your system, which would then allow that Agent to handle all requests for that user. It also ensures that [state within the Agent](/agents/api-reference/store-and-sync-state/), including chat history, language preferences, model configuration and other context can associated specifically with that user, making it easier to manage state. -- naming strategies -- how to address them directly -- validating names before you route to an agent -- `this.name` + + +```ts +import { Agent, AgentNamespace, getAgentByName, routeAgentRequest } from 'agents-sdk'; + +interface Env { + MyAgent: AgentNamespace; +} +export default { + async fetch(request, env, ctx): Promise { + let userId = new URL(request.url).searchParams.get('userId') || 'anonymous'; + // Use an identifier that allows you to route to requests, WebSockets or call methods on the Agent + // You can also put authentication logic here - e.g. to only create or retrieve Agents for known users. + let namedAgent = getAgentByName(env.MyAgent, 'my-unique-agent-id'); + return (await namedAgent).fetch(request); + }, +} satisfies ExportedHandler; + +export class MyAgent extends Agent { + // You can access the name of the agent via this.name in any method within + // the Agent + async onStartup() { console.log(`agent ${this.name} ready!`)} +} +``` + ### Next steps +* Review the [API documentation](/agents/api-reference/sdk/) for the Agents class to learn how to define * [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the `agents-sdk` and deploy it to Workers. * Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. * [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the `agents-sdk` and [Workflows](/workflows). diff --git a/src/content/docs/agents/api-reference/configuration.mdx b/src/content/docs/agents/api-reference/configuration.mdx index 9912d4cbf01564..d845700ddbc50a 100644 --- a/src/content/docs/agents/api-reference/configuration.mdx +++ b/src/content/docs/agents/api-reference/configuration.mdx @@ -2,7 +2,7 @@ title: Configuration pcx_content_type: concept sidebar: - order: 2 + order: 100 --- import { MetaInfo, Render, Type, WranglerConfig } from "~/components"; diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/sdk.mdx index 83dd9dce401bec..517b9ed927ddda 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/sdk.mdx @@ -472,8 +472,6 @@ To learn more about how to manage state within an Agent, refer to the documentat ::: - - ### Next steps * [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the `agents-sdk` and deploy it to Workers. From ec0f5e87427ef94c3cc6ce505b0a41b460f79f88 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Sat, 8 Mar 2025 13:45:35 -0500 Subject: [PATCH 17/65] quickstart --- .../agents/getting-started/quickstart.mdx | 60 +++++++++++++++++-- 1 file changed, 55 insertions(+), 5 deletions(-) diff --git a/src/content/docs/agents/getting-started/quickstart.mdx b/src/content/docs/agents/getting-started/quickstart.mdx index 57a61750825541..4fb6ad8b42d365 100644 --- a/src/content/docs/agents/getting-started/quickstart.mdx +++ b/src/content/docs/agents/getting-started/quickstart.mdx @@ -8,23 +8,73 @@ sidebar: import { Render, PackageManagers, WranglerConfig } from "~/components" -Get up and running with the `agents-sdk`. +This quick start tutorial will have you build a basic Agent that can generate code based on user questions. It will show you how the Agent SDK works, how to handle requests, store and sync state from within the Agent itself, and how to route to and call Agents from your Workers code. -### Create a new project - +### Prerequisites TODO +### Fetch the quick start project + +You can fetch the quick start project using the following command: + + + +This will create a new directory called `agents-quick-start`, ask you a few basic questions, and install the necessary dependencies. + +Once complete, change into the Agent's directory: + +```sh +cd agents-quick-start +``` + + ### Understand the Agent class TODO +### Run your Agent + +You can run your Agent locally, which can be useful during development when iterating and/or when testing your Agent's functionality. To run your Agent locally, use the following command: + +```sh +npm run dev +``` +```sh output +Your Worker and resources are simulated locally via Miniflare. For more information, see: https://developers.cloudflare.com/workers/testing/local-development. + +Your worker has access to the following bindings: +- Durable Objects: + - MyAgent: MyAgent +- AI: + - Name: AI [connected to remote resource] + +Starting local server... +[wrangler:inf] Ready on http://localhost:8787 +``` + +This will + + +### Communicate with your Agent + +The example Agent in this quick start project exposes both HTTP and WebSocket endpoints + +```sh +# The code in this project will automatically create a new Agent on-the-fly when +# you provide a name: e.g. /agents/my-agent/foo or /agents/my-agent/user-1238139 +# This allows you to create as many Agents as you want, each with their own +# state and able to manage their own tasks. +wscat --connect "ws://localhost:8787/agents/my-agent/abc123def" +``` + + ### Deploy your Agent -TODO -### Teach your Agent + +### Extend the Agent TODO From 6546dba83b2511e66e274bfe934abf848786580b Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 10 Mar 2025 10:56:12 -0400 Subject: [PATCH 18/65] agents --- public/_redirects | 1 + .../agents/api-reference/calling-agents.mdx | 51 +++++++++++++++++++ .../{sdk.mdx => creating-agents.mdx} | 2 +- 3 files changed, 53 insertions(+), 1 deletion(-) rename src/content/docs/agents/api-reference/{sdk.mdx => creating-agents.mdx} (99%) diff --git a/public/_redirects b/public/_redirects index 7cf5508252820a..759280db265505 100644 --- a/public/_redirects +++ b/public/_redirects @@ -105,6 +105,7 @@ /agents/examples/schedule-tasks/ /agents/api-reference/schedule-tasks/ 301 /agents/examples/using-ai-models/ /agents/api-reference/using-ai-models/ 301 /agents/examples/websockets/ /agents/api-reference/websockets/ 301 +/agents/examples/sdk/ /agents/api-reference/creating-agents/ 301 # ai /ai/ /use-cases/ai/ 301 diff --git a/src/content/docs/agents/api-reference/calling-agents.mdx b/src/content/docs/agents/api-reference/calling-agents.mdx index 217221d80d5255..d8721930891406 100644 --- a/src/content/docs/agents/api-reference/calling-agents.mdx +++ b/src/content/docs/agents/api-reference/calling-agents.mdx @@ -100,6 +100,57 @@ export class MyAgent extends Agent { ``` +### Authenticating Agents + +When building and deploying Agents using the Agents SDK, you will often want to authenticate clients before passing requests to an Agent in order to restrict who the Agent will call, authorize specific users for specific Agents, and/or to limit who can access administrative or debug APIs exposed by an Agent. + +As best practices: + +* Handle authentication in your Workers code, before you invoke your Agent. +* Use the built-in hooks when using the `routeAgentRequest` helper - `on +* Use your preferred router (such as Hono) and authentication middleware or provider to apply custom authentication schemes before calling an Agent. + +The `routeAgentRequest` helper documented earlier in this guide exposes two useful hooks (`onBeforeConnect`, `onBeforeRequest`) that allow you to apply custom logic before creating or retrieving an Agent: + + + +```ts +import { Agent, AgentNamespace, getAgentByName, routeAgentRequest } from 'agents-sdk'; + +interface Env { + MyAgent: AgentNamespace; +} + +export default { + async fetch(request, env, ctx): Promise { + // Use the onBeforeConnect and onBeforeRequest hooks to authenticate clients + // or run logic before handling a + return ( + (await routeAgentRequest(request, env, { + // Run logic before a WebSocket client connects + onBeforeConnect: (request) => { + // Your code/auth code here + // You can return a Response here - e.g. a HTTP 403 Not Authorized - + // which will stop further request processing and will NOT invoke the + // Agent. + // return Response.json({"error": "not authorized"}, { status: 403 }) + }, + // Run logic before a HTTP client clients + onBeforeRequest: (request) => { + // Your code/auth code here + // Returning nothing will result in the call to the Agent continuing + }, + // Prepend a prefix for how your Agents are named here + prefix: 'name-prefix-here', + })) || Response.json({ msg: 'no agent here' }, { status: 404 }) + ); + + }, +} satisfies ExportedHandler; +``` + + +If you are using `getAgentByName` or the underlying Durable Objects routing API, you should authenticate incoming requests or WebSocket connections before calling `getAgentByName`. ### Next steps diff --git a/src/content/docs/agents/api-reference/sdk.mdx b/src/content/docs/agents/api-reference/creating-agents.mdx similarity index 99% rename from src/content/docs/agents/api-reference/sdk.mdx rename to src/content/docs/agents/api-reference/creating-agents.mdx index 517b9ed927ddda..633c52ae23f674 100644 --- a/src/content/docs/agents/api-reference/sdk.mdx +++ b/src/content/docs/agents/api-reference/creating-agents.mdx @@ -1,5 +1,5 @@ --- -title: The Agent API +title: Creating Agents pcx_content_type: concept sidebar: order: 1 From 20343446a46e7b409da998de59b743633777eb6c Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 10 Mar 2025 11:22:52 -0400 Subject: [PATCH 19/65] update --- .../api-reference/store-and-sync-state.mdx | 1 - .../agents/getting-started/quickstart.mdx | 87 ++++++++++++++++--- 2 files changed, 77 insertions(+), 11 deletions(-) diff --git a/src/content/docs/agents/api-reference/store-and-sync-state.mdx b/src/content/docs/agents/api-reference/store-and-sync-state.mdx index 3a7fef7d9230a9..6e7c3d7c9c7d13 100644 --- a/src/content/docs/agents/api-reference/store-and-sync-state.mdx +++ b/src/content/docs/agents/api-reference/store-and-sync-state.mdx @@ -281,4 +281,3 @@ export class ReasoningAgent extends Agent { This works because each instance of an Agent has its _own_ database, the state stored in that database is private to that Agent: whether it's acting on behalf of a single user, a room or channel, or a deep research tool. By default, you don't have to manage contention or reach out over the network to a centralized database to retrieve and store state. - diff --git a/src/content/docs/agents/getting-started/quickstart.mdx b/src/content/docs/agents/getting-started/quickstart.mdx index 4fb6ad8b42d365..dffd66f99f184a 100644 --- a/src/content/docs/agents/getting-started/quickstart.mdx +++ b/src/content/docs/agents/getting-started/quickstart.mdx @@ -6,20 +6,21 @@ sidebar: --- -import { Render, PackageManagers, WranglerConfig } from "~/components" +import { Render, GitHubCode, PackageManagers, TypeScriptExample, WranglerConfig } from "~/components" This quick start tutorial will have you build a basic Agent that can generate code based on user questions. It will show you how the Agent SDK works, how to handle requests, store and sync state from within the Agent itself, and how to route to and call Agents from your Workers code. - ### Prerequisites -TODO + -### Fetch the quick start project +### Setup the Agent You can fetch the quick start project using the following command: - +```sh +npm create cloudflare@latest agents-quick-start -- --template="cloudflare/agents-quick-start" +``` This will create a new directory called `agents-quick-start`, ask you a few basic questions, and install the necessary dependencies. @@ -36,6 +37,8 @@ TODO ### Run your Agent +OK, it's time to run your first Agent! + You can run your Agent locally, which can be useful during development when iterating and/or when testing your Agent's functionality. To run your Agent locally, use the following command: ```sh @@ -54,12 +57,21 @@ Starting local server... [wrangler:inf] Ready on http://localhost:8787 ``` -This will - +Your Agent is now running locally on your machine, and ready to communicate with the outside world. Leave this server running so we can talk to your Agent in the next step. ### Communicate with your Agent -The example Agent in this quick start project exposes both HTTP and WebSocket endpoints +Let's communicate with your Agent and have it run a simple task. + +The example Agent in this quick start project exposes both HTTP and WebSocket endpoints, and so we'll use [`wscat`](https://github.com/websockets/wscat) as a command-line WebSocket client to communicate with our Agent's chat endpoint. + +Install `wscat`: + +```sh +npm install -g wscat +``` + +Run `wscat` and connect to an instance of your Agent (running locally). Remember that each Agent can have many _instances_, each able to interact with users, tools and other APIs independently, as well as store state specific to that instance. ```sh # The code in this project will automatically create a new Agent on-the-fly when @@ -70,14 +82,69 @@ wscat --connect "ws://localhost:8787/agents/my-agent/abc123def" ``` +#### Agent routing + +In the `agents-quick-start` we use the `routeAgentRequest` helper to automatically handle routing to existing and creating new Agent instances on-the-fly. + +If you open up `src/index.ts`, + + + +```ts +export default { + async fetch(request, env, ctx) { + // Built-in Agent routing (recommended to start with) + // routeAgentRequest routes HTTP requests and/or WebSocket connections to a specific Agent instance + // Expects requests are of the format /agents/:agent/:name + // + // - :agent is the kebab-case of your Agent class name - e.g. MyAgent becomes my-agent + // - :name is provided by the incoming client and names the unique instance of the Agent. NOTE: If an Agent doesn't exist by that name, one will be created on-the-fly. + return (await routeAgentRequest(request, env, {})) || Response.json({ msg: 'no agent here' }, { status: 404 }); + }, +} satisfies ExportedHandler +``` + + + +You can learn about more ways to call into your Agents, as well as how to add authentication in front of your Agents, by reviewing [documentation on Calling Agents](/agents/api-reference/calling-agents/). + ### Deploy your Agent +OK, we've: +1. Learned how the `Agent` class works and how to define our own Agents using the Agents SDK. +2. Run our Agent locally and communicated with it. +3. Reviewed how routing to an Agent works, including how Agents are created and retrieved. + +Let's deploy our Agent ### Extend the Agent -TODO +TODO; + +- AI SDK + + + + +```ts +async aiSDKChat() { + + +} +``` + + + +### Optional: Clean-up + +TODO: delete ### Next steps -TODO +What's next? + +* Deploy the [Agents SDK starter app](/agents/getting-started/build-a-chat-agent/): a fully-functioning AI Agent with a React front-end, tool calling, and state sync that is built on the Agents SDK. +* Review the [Agents API reference](/agents/api-reference/creating-agents/) and the APIs exposed by the Agents SDK. +* Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. +* [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the `agents-sdk` and [Workflows](/workflows). From d507cefa1956984f7bc62d5546f791af0a6e64e4 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 10 Mar 2025 11:45:18 -0400 Subject: [PATCH 20/65] updates --- public/_redirects | 2 +- .../{creating-agents.mdx => agents-api.mdx} | 8 +++---- .../agents/api-reference/calling-agents.mdx | 2 +- .../agents/api-reference/using-ai-models.mdx | 3 +-- .../docs/agents/api-reference/websockets.mdx | 23 ++++--------------- 5 files changed, 10 insertions(+), 28 deletions(-) rename src/content/docs/agents/api-reference/{creating-agents.mdx => agents-api.mdx} (98%) diff --git a/public/_redirects b/public/_redirects index 759280db265505..60898d51fe7870 100644 --- a/public/_redirects +++ b/public/_redirects @@ -105,7 +105,7 @@ /agents/examples/schedule-tasks/ /agents/api-reference/schedule-tasks/ 301 /agents/examples/using-ai-models/ /agents/api-reference/using-ai-models/ 301 /agents/examples/websockets/ /agents/api-reference/websockets/ 301 -/agents/examples/sdk/ /agents/api-reference/creating-agents/ 301 +/agents/examples/sdk/ /agents/api-reference/agents-api/ 301 # ai /ai/ /use-cases/ai/ 301 diff --git a/src/content/docs/agents/api-reference/creating-agents.mdx b/src/content/docs/agents/api-reference/agents-api.mdx similarity index 98% rename from src/content/docs/agents/api-reference/creating-agents.mdx rename to src/content/docs/agents/api-reference/agents-api.mdx index 633c52ae23f674..199ab50b793e7d 100644 --- a/src/content/docs/agents/api-reference/creating-agents.mdx +++ b/src/content/docs/agents/api-reference/agents-api.mdx @@ -1,5 +1,5 @@ --- -title: Creating Agents +title: Agents API pcx_content_type: concept sidebar: order: 1 @@ -74,11 +74,9 @@ class MyAgent extends Agent { // Called when a WebSocket connection is established // Access the original request via ctx.request for auth etc. async onConnect(connection: Connection, ctx: ConnectionContext) { - // Authenticate the connection + // Connections are automatically accepted by the SDK. + // You can also explicitly close a connection here with connection.close() // Access the Request on ctx.request to inspect headers, cookies and the URL - - // Accept the connection - connection.accept(); } // Called for each message received on a WebSocket connection diff --git a/src/content/docs/agents/api-reference/calling-agents.mdx b/src/content/docs/agents/api-reference/calling-agents.mdx index d8721930891406..24f29acafc363a 100644 --- a/src/content/docs/agents/api-reference/calling-agents.mdx +++ b/src/content/docs/agents/api-reference/calling-agents.mdx @@ -124,7 +124,7 @@ interface Env { export default { async fetch(request, env, ctx): Promise { // Use the onBeforeConnect and onBeforeRequest hooks to authenticate clients - // or run logic before handling a + // or run logic before handling a HTTP request or WebSocket. return ( (await routeAgentRequest(request, env, { // Run logic before a WebSocket client connects diff --git a/src/content/docs/agents/api-reference/using-ai-models.mdx b/src/content/docs/agents/api-reference/using-ai-models.mdx index d59fa803bbb9f6..c7445ced232cd6 100644 --- a/src/content/docs/agents/api-reference/using-ai-models.mdx +++ b/src/content/docs/agents/api-reference/using-ai-models.mdx @@ -34,8 +34,7 @@ import { OpenAI } from "openai" export class MyAgent extends Agent { async onConnect(connection: Connection, ctx: ConnectionContext) { - // Omitted for simplicity: authenticating the user - connection.accept() + // } async onMessage(connection: Connection, message: WSMessage) { diff --git a/src/content/docs/agents/api-reference/websockets.mdx b/src/content/docs/agents/api-reference/websockets.mdx index be95e3af9f9649..31030ab578ebb3 100644 --- a/src/content/docs/agents/api-reference/websockets.mdx +++ b/src/content/docs/agents/api-reference/websockets.mdx @@ -23,25 +23,10 @@ Here's an example of an Agent that echoes back any message it receives: import { Agent, Connection } from "agents-sdk"; export class ChatAgent extends Agent { - async onConnect(connection: Connection, ctx: ConnectionContext) { - // Access the request to verify any authentication tokens - // provided in headers or cookies - let token = ctx.request.headers.get("Authorization"); - if (!token) { - await connection.close(4000, "Unauthorized"); - return; - } - - // Handle auth using your favorite library and/or auth scheme: - // try { - // await jwt.verify(token, env.JWT_SECRET); - // } catch (error) { - // connection.close(4000, 'Invalid Authorization header'); - // return; - // } - - // Accept valid connections - connection.accept() + async onConnect(connection: Connection, ctx: ConnectionContext) { + // Connections are automatically accepted by the SDK. + // You can also explicitly close a connection here with connection.close() + // Access the Request on ctx.request to inspect headers, cookies and the URL } async onMessage(connection: Connection, message: WSMessage) { From 45c5c11b94508b69e355ca8964e7dc89565f0bc0 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Tue, 11 Mar 2025 09:35:56 -0400 Subject: [PATCH 21/65] fix --- .../docs/agents/api-reference/http-sse.mdx | 73 +++++++++++++++++++ .../agents/api-reference/using-ai-models.mdx | 14 +++- .../docs/agents/api-reference/websockets.mdx | 2 +- .../agents/getting-started/quickstart.mdx | 59 ++++++++++----- 4 files changed, 126 insertions(+), 22 deletions(-) create mode 100644 src/content/docs/agents/api-reference/http-sse.mdx diff --git a/src/content/docs/agents/api-reference/http-sse.mdx b/src/content/docs/agents/api-reference/http-sse.mdx new file mode 100644 index 00000000000000..ff8219faa4be48 --- /dev/null +++ b/src/content/docs/agents/api-reference/http-sse.mdx @@ -0,0 +1,73 @@ +--- +title: HTTP and Server-Sent Events +pcx_content_type: concept +sidebar: + order: 8 + +--- + +import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/components"; + +The Agents SDK allows you to handle HTTP requests and has native support for [Server-Sent Events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events) (SSE). This allows you build applications that can push data to clients, avoid buffering + +## Handling HTTP requests + +Agents can handle HTTP requests using the `onRequest` method, which is called whenever an HTTP request is received by the Agent instance. The method takes a `Request` object as a parameter and returns a `Response` object. + + + + + +```ts +class MyAgent extends Agent { + // Handle HTTP requests coming to this Agent instance + // Returns a Response object + async onRequest(request: Request) { + return new Response("Hello from Agent!"); + } + + async callAIModel(prompt: string) { + // Implement AI model call here + } +} +``` + + + +Review the [Agents API reference](/agents/api-reference/agents-api/) to learn more about the `Agent` class and its methods. + +### Implementing Server-Sent Events + +TODO + + +```ts +import { Agent } from "agents-sdk"; +import { streamText } from 'ai'; +import { createOpenAI, openai } from '@ai-sdk/openai'; + +interface Env { + OPENAI_API_KEY: string; +} + +class MyAgent extends Agent { + // Handle HTTP requests coming to this Agent instance + // Returns a Response object + async onRequest(request: Request) { + return new Response("Hello from Agent!"); + } + + async callAIModel(prompt: string) { + const openai = createOpenAI({ + // custom settings, e.g. + compatibility: 'strict', // strict mode, enable when using the OpenAI API + }); + } +} +``` + + + +## WebSockets vs. Server-Sent Events + +TODO \ No newline at end of file diff --git a/src/content/docs/agents/api-reference/using-ai-models.mdx b/src/content/docs/agents/api-reference/using-ai-models.mdx index c7445ced232cd6..1daef498e25951 100644 --- a/src/content/docs/agents/api-reference/using-ai-models.mdx +++ b/src/content/docs/agents/api-reference/using-ai-models.mdx @@ -8,9 +8,17 @@ sidebar: import { AnchorHeading, MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/components"; -Agents can communicate with AI models hosted on any provider, including [Workers AI](/workers-ai/), OpenAI, Anthropic, and Google's Gemini, and use the model routing features in [AI Gateway](/ai-gateway/) to route across providers, eval responses, and manage AI provider rate limits. +Agents can communicate with AI models hosted on any provider, including: -Because Agents are built on top of [Durable Objects](/durable-objects/), each Agent or chat session is associated with a stateful compute instance. Tradtional serverless architectures often present challenges for persistent connections needed in real-time applications like chat. +* [Workers AI](/workers-ai/) +* The [AI SDK](https://sdk.vercel.ai/docs/ai-sdk-core/overview) +* [OpenAI](https://platform.openai.com/docs/quickstart?language=javascript) +* [Anthropic](https://docs.anthropic.com/en/api/client-sdks#typescript +* [Google's Gemini](https://ai.google.dev/gemini-api/docs/openai) + +You can also use the model routing features in [AI Gateway](/ai-gateway/) to route across providers, eval responses, and manage AI provider rate limits. + +Because Agents are built on top of [Durable Objects](/durable-objects/), each Agent or chat session is associated with a stateful compute instance. Traditional serverless architectures often present challenges for persistent connections needed in real-time applications like chat. A user can disconnect during a long-running response from a modern reasoning model (such as `o3-mini` or DeepSeek R1), or lose conversational context when refreshing the browser. Instead of relying on request-response patterns and managing an external database to track & store conversation state, state can be stored directly within the Agent. If a client disconnects, the Agent can write to its own distributed storage, and catch the client up as soon as it reconnects: even if it's hours or days later. @@ -34,7 +42,7 @@ import { OpenAI } from "openai" export class MyAgent extends Agent { async onConnect(connection: Connection, ctx: ConnectionContext) { - // + // } async onMessage(connection: Connection, message: WSMessage) { diff --git a/src/content/docs/agents/api-reference/websockets.mdx b/src/content/docs/agents/api-reference/websockets.mdx index 31030ab578ebb3..cac5d2112821f2 100644 --- a/src/content/docs/agents/api-reference/websockets.mdx +++ b/src/content/docs/agents/api-reference/websockets.mdx @@ -2,7 +2,7 @@ title: Using WebSockets pcx_content_type: concept sidebar: - order: 8 + order: 10 --- diff --git a/src/content/docs/agents/getting-started/quickstart.mdx b/src/content/docs/agents/getting-started/quickstart.mdx index dffd66f99f184a..d7280c73d92475 100644 --- a/src/content/docs/agents/getting-started/quickstart.mdx +++ b/src/content/docs/agents/getting-started/quickstart.mdx @@ -6,9 +6,11 @@ sidebar: --- -import { Render, GitHubCode, PackageManagers, TypeScriptExample, WranglerConfig } from "~/components" +import { Render, FileTree, GitHubCode, PackageManagers, TypeScriptExample, WranglerConfig } from "~/components" -This quick start tutorial will have you build a basic Agent that can generate code based on user questions. It will show you how the Agent SDK works, how to handle requests, store and sync state from within the Agent itself, and how to route to and call Agents from your Workers code. +This quick start tutorial will have you build a basic Agent that can generate code based on user prompts. + +It will show you how the Agent SDK works, how to handle requests, call AI models, store and sync state from within the Agent itself, and how to route to and call Agents from your Workers code. ### Prerequisites @@ -16,13 +18,13 @@ This quick start tutorial will have you build a basic Agent that can generate co ### Setup the Agent -You can fetch the quick start project using the following command: +You can fetch the quick start code using the following command: ```sh npm create cloudflare@latest agents-quick-start -- --template="cloudflare/agents-quick-start" ``` -This will create a new directory called `agents-quick-start`, ask you a few basic questions, and install the necessary dependencies. +This will create a new directory called `agents-quick-start`, ask you a few basic questions (select yes), and install the necessary dependencies. Once complete, change into the Agent's directory: @@ -30,9 +32,17 @@ Once complete, change into the Agent's directory: cd agents-quick-start ``` +Inside this directory, there are a number of files, but we only need to worry about two for now: + +* `src/index.ts` - contains your Agent's code +* `wrangler.jsonc` - defines the configuration for your Worker & Agent + +Let's take a look at how the Agent in the quick start is defined. ### Understand the Agent class +Open the `src/index.ts` file in your editor: + TODO ### Run your Agent @@ -57,7 +67,7 @@ Starting local server... [wrangler:inf] Ready on http://localhost:8787 ``` -Your Agent is now running locally on your machine, and ready to communicate with the outside world. Leave this server running so we can talk to your Agent in the next step. +Your Agent is now running locally on your machine, and ready to communicate with the outside world. Make sure to leave this server running so we can talk to your Agent in the next step. ### Communicate with your Agent @@ -82,6 +92,7 @@ wscat --connect "ws://localhost:8787/agents/my-agent/abc123def" ``` + #### Agent routing In the `agents-quick-start` we use the `routeAgentRequest` helper to automatically handle routing to existing and creating new Agent instances on-the-fly. @@ -108,7 +119,7 @@ export default { You can learn about more ways to call into your Agents, as well as how to add authentication in front of your Agents, by reviewing [documentation on Calling Agents](/agents/api-reference/calling-agents/). -### Deploy your Agent +### Ship to production OK, we've: @@ -116,23 +127,33 @@ OK, we've: 2. Run our Agent locally and communicated with it. 3. Reviewed how routing to an Agent works, including how Agents are created and retrieved. -Let's deploy our Agent +Let's deploy our Agent using `wrangler`, which was installed when we originally used `npm create cloudflare`: -### Extend the Agent +```sh +npx wrangler@latest deploy +``` -TODO; +If this is your first time deploying to Cloudflare Workers, you'll be asked to login. Otherwise, you'll see output similar to the following, including a `workers.dev` URL that allows you access any public endpoints your Agent exposes: -- AI SDK +```sh output +``` - +You can then use `wscat` to talk to your Agent running in production on Cloudflare's global network: -```ts -async aiSDKChat() { +```sh +wscat --connect="wss://agents-quick-start.YOUR_SUBDOMAIN.workers.dev/agents/my-agent/user-id-12345 +``` +TODO - debug / logs / errors / tail + +### Extend the Agent + +TODO; + +- AI SDK +- Adding a new tool -} -``` @@ -142,9 +163,11 @@ TODO: delete ### Next steps -What's next? +If you're looking to build a more complex Agent, you can use the Agents SDK to build a fully-functioning AI Agent with a React front-end, tool calling, and state sync that is built on the Agents SDK with the [Agents SDK starter app](/agents/getting-started/build-a-chat-agent/). + +Otherwise, you can: -* Deploy the [Agents SDK starter app](/agents/getting-started/build-a-chat-agent/): a fully-functioning AI Agent with a React front-end, tool calling, and state sync that is built on the Agents SDK. * Review the [Agents API reference](/agents/api-reference/creating-agents/) and the APIs exposed by the Agents SDK. * Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. -* [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the `agents-sdk` and [Workflows](/workflows). +* [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the Agents SDK and [Workflows](/workflows). +* How to [schedule tasks](/agents/api-reference/schedule-tasks) from within your Agent using the `this.schedule` API. From eebde1f973ca700a1954aa67f1c053e4b7c02380 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Tue, 11 Mar 2025 10:24:07 -0400 Subject: [PATCH 22/65] SSE --- .../docs/agents/api-reference/http-sse.mdx | 57 +++++++++++++------ 1 file changed, 41 insertions(+), 16 deletions(-) diff --git a/src/content/docs/agents/api-reference/http-sse.mdx b/src/content/docs/agents/api-reference/http-sse.mdx index ff8219faa4be48..2b23157efe4850 100644 --- a/src/content/docs/agents/api-reference/http-sse.mdx +++ b/src/content/docs/agents/api-reference/http-sse.mdx @@ -38,36 +38,61 @@ Review the [Agents API reference](/agents/api-reference/agents-api/) to learn mo ### Implementing Server-Sent Events -TODO +The Agents SDK support Server-Sent Events: + +The below example uses the AI SDK to generate text and stream it back to the client. It will automatically stream + ```ts -import { Agent } from "agents-sdk"; +import { Agent, AgentNamespace, getAgentByName, routeAgentRequest } from 'agents-sdk'; import { streamText } from 'ai'; import { createOpenAI, openai } from '@ai-sdk/openai'; interface Env { + MyAgent: AgentNamespace; OPENAI_API_KEY: string; } -class MyAgent extends Agent { - // Handle HTTP requests coming to this Agent instance - // Returns a Response object - async onRequest(request: Request) { - return new Response("Hello from Agent!"); - } - - async callAIModel(prompt: string) { - const openai = createOpenAI({ - // custom settings, e.g. - compatibility: 'strict', // strict mode, enable when using the OpenAI API - }); - } +export class MyAgent extends Agent { + async onRequest(request: Request) { + // Test it via: + // curl -d '{"prompt": "Write me a Cloudflare Worker"}' + let data = await request.json<{ prompt: string }>(); + let stream = await this.callAIModel(data.prompt); + // This uses Server-Sent Events (SSE) + return stream.toTextStreamResponse({ + headers: { + 'Content-Type': 'text/x-unknown', + 'content-encoding': 'identity', + 'transfer-encoding': 'chunked', + }, + }); + } + + async callAIModel(prompt: string) { + const openai = createOpenAI({ + apiKey: this.env.OPENAI_API_KEY, + }); + + return streamText({ + model: openai('gpt-4o'), + prompt: prompt, + }); + } } + +export default { + async fetch(request: Request, env: Env) { + const agent = await getAgentByName(env.MyAgent, 'agent'); + return agent.fetch(request); + }, +}; ``` ## WebSockets vs. Server-Sent Events -TODO \ No newline at end of file +TODO + From 2ba1cdaf7fed88eaa635cb3427193515e3bafdb3 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Tue, 11 Mar 2025 11:22:52 -0400 Subject: [PATCH 23/65] sse --- .../docs/agents/api-reference/http-sse.mdx | 15 +++++++++++---- .../docs/agents/getting-started/quickstart.mdx | 2 -- 2 files changed, 11 insertions(+), 6 deletions(-) diff --git a/src/content/docs/agents/api-reference/http-sse.mdx b/src/content/docs/agents/api-reference/http-sse.mdx index 2b23157efe4850..6cc1edcb582fe2 100644 --- a/src/content/docs/agents/api-reference/http-sse.mdx +++ b/src/content/docs/agents/api-reference/http-sse.mdx @@ -38,9 +38,13 @@ Review the [Agents API reference](/agents/api-reference/agents-api/) to learn mo ### Implementing Server-Sent Events -The Agents SDK support Server-Sent Events: +The Agents SDK support Server-Sent Events directly: you can use SSE to stream data back to the client over a long running connection. This avoids buffering large responses, which can both make your Agent feel slow, and forces you to buffer the entire response in memory. -The below example uses the AI SDK to generate text and stream it back to the client. It will automatically stream +When an Agent is deployed to Cloudflare Workers, there is no effective limit on the total time it takes to stream the response back: large AI model responses that take several minutes to reason and then respond will not be prematurely terminated. + +Note that this does not mean the client can't potentially disconnect during the streaming process: you can account for this by either [writing to the Agent's stateful storage](/agents/api-reference/store-and-sync-state/) and/or [using WebSockets](/agents/api-reference/websockets/). Because you can always [route to the same Agent](/agents/api-reference/calling-agents/), you do not need to use a centralized session store to pick back up where you left off when a client disconnects. + +The following example uses the AI SDK to generate text and stream it back to the client. It will automatically stream the response back to the client as the model generates it: @@ -84,15 +88,18 @@ export class MyAgent extends Agent { export default { async fetch(request: Request, env: Env) { - const agent = await getAgentByName(env.MyAgent, 'agent'); + let agentId = new URL(request.url).searchParams.get('agent-id') || ''; + const agent = await getAgentByName(env.MyAgent, agentId); return agent.fetch(request); }, }; ``` + + ## WebSockets vs. Server-Sent Events -TODO + diff --git a/src/content/docs/agents/getting-started/quickstart.mdx b/src/content/docs/agents/getting-started/quickstart.mdx index d7280c73d92475..220b45718baae8 100644 --- a/src/content/docs/agents/getting-started/quickstart.mdx +++ b/src/content/docs/agents/getting-started/quickstart.mdx @@ -155,8 +155,6 @@ TODO; - Adding a new tool - - ### Optional: Clean-up TODO: delete From 47baffc25b47a9fa5a22783983f47395f7d66941 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Tue, 11 Mar 2025 17:18:32 -0400 Subject: [PATCH 24/65] auth --- .../agents/api-reference/calling-agents.mdx | 35 ++++++++++++++++++- 1 file changed, 34 insertions(+), 1 deletion(-) diff --git a/src/content/docs/agents/api-reference/calling-agents.mdx b/src/content/docs/agents/api-reference/calling-agents.mdx index 24f29acafc363a..ebe4e221d0c70d 100644 --- a/src/content/docs/agents/api-reference/calling-agents.mdx +++ b/src/content/docs/agents/api-reference/calling-agents.mdx @@ -115,7 +115,7 @@ The `routeAgentRequest` helper documented earlier in this guide exposes two usef ```ts -import { Agent, AgentNamespace, getAgentByName, routeAgentRequest } from 'agents-sdk'; +import { Agent, AgentNamespace, routeAgentRequest } from 'agents-sdk'; interface Env { MyAgent: AgentNamespace; @@ -152,6 +152,39 @@ export default { If you are using `getAgentByName` or the underlying Durable Objects routing API, you should authenticate incoming requests or WebSocket connections before calling `getAgentByName`. +For example, if you are using [Hono](https://hono.dev/), you can authenticate in the middleware before calling an Agent and passing a request (or a WebSocket connection) to it: + + + +```ts +import { Agent, AgentNamespace, getAgentByName } from 'agents-sdk'; +import { Hono } from 'hono'; + +const app = new Hono<{ Bindings: Env }>(); + +app.use('/code-review/*', async (c, next) => { + // Perform auth here + // e.g. validate a Bearer token, a JWT, use your preferred auth library + // return Response.json({ msg: 'unauthorized' }, { status: 401 }); + await next(); // continue on if valid +}); + +app.get('/code-review/:id', async (c) => { + const id = c.req.param('teamId'); + if (!id) return Response.json({ msg: 'missing id' }, { status: 400 }); + + // Call the Agent, creating it with the name/identifier from the ":id" segment + // of our URL + const agent = await getAgentByName(c.env.MyAgent, id); + + // Pass the request to our Agent instance + return await agent.fetch(c.req.raw); +}); +``` + + + + ### Next steps * Review the [API documentation](/agents/api-reference/sdk/) for the Agents class to learn how to define From 2056f6b04c944d267942abecf252b9e5977ddc3e Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Tue, 11 Mar 2025 17:24:23 -0400 Subject: [PATCH 25/65] add redirect --- public/_redirects | 1 + 1 file changed, 1 insertion(+) diff --git a/public/_redirects b/public/_redirects index 60898d51fe7870..9f76cd33e2d172 100644 --- a/public/_redirects +++ b/public/_redirects @@ -106,6 +106,7 @@ /agents/examples/using-ai-models/ /agents/api-reference/using-ai-models/ 301 /agents/examples/websockets/ /agents/api-reference/websockets/ 301 /agents/examples/sdk/ /agents/api-reference/agents-api/ 301 +/agents/examples/build-mcp-server/ /agents/api-reference/build-mcp-server/ 301 # ai /ai/ /use-cases/ai/ 301 From 5c3154d5d63e0def07c6704fa723c7156d2a3336 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Tue, 11 Mar 2025 17:26:42 -0400 Subject: [PATCH 26/65] ok --- src/content/docs/agents/api-reference/calling-agents.mdx | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/src/content/docs/agents/api-reference/calling-agents.mdx b/src/content/docs/agents/api-reference/calling-agents.mdx index ebe4e221d0c70d..1f911453f9044d 100644 --- a/src/content/docs/agents/api-reference/calling-agents.mdx +++ b/src/content/docs/agents/api-reference/calling-agents.mdx @@ -107,8 +107,8 @@ When building and deploying Agents using the Agents SDK, you will often want to As best practices: * Handle authentication in your Workers code, before you invoke your Agent. -* Use the built-in hooks when using the `routeAgentRequest` helper - `on -* Use your preferred router (such as Hono) and authentication middleware or provider to apply custom authentication schemes before calling an Agent. +* Use the built-in hooks when using the `routeAgentRequest` helper - `onBeforeConnect` and `onBeforeRequest` +* Use your preferred router (such as Hono) and authentication middleware or provider to apply custom authentication schemes before calling an Agent using other methods. The `routeAgentRequest` helper documented earlier in this guide exposes two useful hooks (`onBeforeConnect`, `onBeforeRequest`) that allow you to apply custom logic before creating or retrieving an Agent: @@ -184,6 +184,7 @@ app.get('/code-review/:id', async (c) => { +This ensures we only create Agents for authenticated users, and allows you to validate Agent names conform to your preferred naming scheme before instances are created. ### Next steps From 334c2a128f88ad8a04715c78977c485f16eed4b8 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Tue, 11 Mar 2025 17:51:13 -0400 Subject: [PATCH 27/65] unique partial --- .../docs/agents/api-reference/agents-api.mdx | 2 + .../agents/api-reference/calling-agents.mdx | 2 + .../agents/getting-started/quickstart.mdx | 38 +++++++++---------- src/content/partials/agents/unique-agents.mdx | 12 ++++++ 4 files changed, 34 insertions(+), 20 deletions(-) create mode 100644 src/content/partials/agents/unique-agents.mdx diff --git a/src/content/docs/agents/api-reference/agents-api.mdx b/src/content/docs/agents/api-reference/agents-api.mdx index 199ab50b793e7d..ae23a257423040 100644 --- a/src/content/docs/agents/api-reference/agents-api.mdx +++ b/src/content/docs/agents/api-reference/agents-api.mdx @@ -30,6 +30,8 @@ An Agent can have many (millions of) instances: each instance is a separate micr Instances of an Agent are addressed by a unique identifier: that identifier (ID) can be the user ID, an email address, GitHub username, a flight ticket number, an invoice ID, or any other identifier that helps to uniquely identify the instance and for whom it is acting on behalf of. + + ### Agent Writing an Agent requires you to define a class that extends the `Agent` class from the `agents-sdk` package. An Agent encapsulates all of the logic for an Agent, including how clients can connect to it, how it stores state, the methods it exposes, and any error handling. diff --git a/src/content/docs/agents/api-reference/calling-agents.mdx b/src/content/docs/agents/api-reference/calling-agents.mdx index 1f911453f9044d..afcd798a6ba160 100644 --- a/src/content/docs/agents/api-reference/calling-agents.mdx +++ b/src/content/docs/agents/api-reference/calling-agents.mdx @@ -14,6 +14,8 @@ Learn how to call your Agents from Workers, including how to create Agents on-th Agents are created on-the-fly and can serve multiple requests concurrently. Each Agent instance is isolated from other instances, can maintain its own state, and has a unique address. + + You can create and run an instance of an Agent directly from a Worker in one of three ways: 1. Using the `routeAgentRequest` helper: this will automatically map requests to an individual Agent based on the `/agents/:agent/:name` URL pattern. The value of `:agent` will be the name of your Agent class converted to `kebab-case`, and the value of `:name` will be the name of the Agent instance you want to create or retrieve. diff --git a/src/content/docs/agents/getting-started/quickstart.mdx b/src/content/docs/agents/getting-started/quickstart.mdx index 220b45718baae8..4f6fb7a8693224 100644 --- a/src/content/docs/agents/getting-started/quickstart.mdx +++ b/src/content/docs/agents/getting-started/quickstart.mdx @@ -39,6 +39,14 @@ Inside this directory, there are a number of files, but we only need to worry ab Let's take a look at how the Agent in the quick start is defined. +:::note[Escape hatch] + +You can escape from the rest of this quickstart guide right here: run `npm run start` to run the code locally, open `src/index.ts` to explore the code, and run `npx wrangler@latest deploy` to deploy it your Cloudflare account. + +The rest of this quickstart briefly steps through the code and sending requests to the Agent: if this is your first time using the Agents SDK and/or Cloudflare Workers, you'll likely want to keep reading. + +::: + ### Understand the Agent class Open the `src/index.ts` file in your editor: @@ -71,33 +79,23 @@ Your Agent is now running locally on your machine, and ready to communicate with ### Communicate with your Agent -Let's communicate with your Agent and have it run a simple task. +Let's communicate with your Agent and have it book us a flight (well, pretend to). -The example Agent in this quick start project exposes both HTTP and WebSocket endpoints, and so we'll use [`wscat`](https://github.com/websockets/wscat) as a command-line WebSocket client to communicate with our Agent's chat endpoint. - -Install `wscat`: - -```sh -npm install -g wscat -``` - -Run `wscat` and connect to an instance of your Agent (running locally). Remember that each Agent can have many _instances_, each able to interact with users, tools and other APIs independently, as well as store state specific to that instance. - -```sh -# The code in this project will automatically create a new Agent on-the-fly when -# you provide a name: e.g. /agents/my-agent/foo or /agents/my-agent/user-1238139 -# This allows you to create as many Agents as you want, each with their own -# state and able to manage their own tasks. -wscat --connect "ws://localhost:8787/agents/my-agent/abc123def" -``` +TODO: +- Make a request for a booking +- get a response +- confirm the booking +- get the booked flight #### Agent routing In the `agents-quick-start` we use the `routeAgentRequest` helper to automatically handle routing to existing and creating new Agent instances on-the-fly. -If you open up `src/index.ts`, +If you open up `src/index.ts`, you'll see that `routeAgentRequest` handles requests to `/agents/:agent/:name` - in our case, that's `/agents/flight-agent/:name`, where name is a unique identifier for that Agent instance. + + @@ -117,7 +115,7 @@ export default { -You can learn about more ways to call into your Agents, as well as how to add authentication in front of your Agents, by reviewing [documentation on Calling Agents](/agents/api-reference/calling-agents/). +You can learn about more ways to call into your Agents, as well as how to add authentication in front of your Agents, by reviewing the [documentation on calling Agents](/agents/api-reference/calling-agents/). ### Ship to production diff --git a/src/content/partials/agents/unique-agents.mdx b/src/content/partials/agents/unique-agents.mdx new file mode 100644 index 00000000000000..a52ec3be1f87c4 --- /dev/null +++ b/src/content/partials/agents/unique-agents.mdx @@ -0,0 +1,12 @@ +--- +{} + +--- + +:::note + +An instance of an Agent is globally unique: given the same name (or ID), you will always get the same instance of an agent. This means that you don't have to synchronize state across requests: if an Agent instance represents a specific user, team, channel or other entity, you can use the Agent instance to store state for that entity. + +If the client disconnects, you can always route the client back to the exact same Agent and pick up where they left off. + +::: \ No newline at end of file From dbd9ff0f87ed341fa245c174c2211154ac827098 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Tue, 11 Mar 2025 19:16:27 -0400 Subject: [PATCH 28/65] headers --- .../docs/agents/api-reference/agents-api.mdx | 13 ++++++------- .../docs/agents/api-reference/calling-agents.mdx | 2 +- .../docs/agents/api-reference/configuration.mdx | 6 ++++++ src/content/docs/agents/api-reference/http-sse.mdx | 9 +++------ .../docs/agents/api-reference/websockets.mdx | 6 +++--- 5 files changed, 19 insertions(+), 17 deletions(-) diff --git a/src/content/docs/agents/api-reference/agents-api.mdx b/src/content/docs/agents/api-reference/agents-api.mdx index ae23a257423040..b95ed8ea8eedcd 100644 --- a/src/content/docs/agents/api-reference/agents-api.mdx +++ b/src/content/docs/agents/api-reference/agents-api.mdx @@ -113,7 +113,7 @@ class MyAgent extends Agent { } ``` -### WebSocket connection Handling +### WebSocket connection handling #### Connection @@ -166,7 +166,7 @@ interface ConnectionContext { ### State Management -#### State Management +#### State management Methods and types for managing Agent state. @@ -280,9 +280,9 @@ type Schedule = { let task = await this.schedule(300, "methodToCall", { message: "data-to-send-to-method" }); ``` -### SQL Database Access +### SQL database -#### SQL Query API +#### SQL query API Execute SQL queries against the Agent's built-in SQLite database using the `this.sql` method within any method on your `Agent` class. @@ -359,7 +359,7 @@ function agentFetch( ): Promise; ``` -### React Integration +### React API The `agents-sdk` provides a React API for simplifying connection and routing to Agents from front-end frameworks, including React Router (Remix), Next.js, and Astro. @@ -425,7 +425,7 @@ class AIChatAgent extends Agent { } ``` -### AI React Hooks +### Chat Agent React API #### useAgentChat @@ -471,7 +471,6 @@ To learn more about how to manage state within an Agent, refer to the documentat ::: - ### Next steps * [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the `agents-sdk` and deploy it to Workers. diff --git a/src/content/docs/agents/api-reference/calling-agents.mdx b/src/content/docs/agents/api-reference/calling-agents.mdx index afcd798a6ba160..796b0b5229d91a 100644 --- a/src/content/docs/agents/api-reference/calling-agents.mdx +++ b/src/content/docs/agents/api-reference/calling-agents.mdx @@ -10,7 +10,7 @@ import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/com Learn how to call your Agents from Workers, including how to create Agents on-the-fly, address them, and route requests to specific instances of an Agent. -## Calling your Agent +### Calling your Agent Agents are created on-the-fly and can serve multiple requests concurrently. Each Agent instance is isolated from other instances, can maintain its own state, and has a unique address. diff --git a/src/content/docs/agents/api-reference/configuration.mdx b/src/content/docs/agents/api-reference/configuration.mdx index d845700ddbc50a..79426eac85ff2c 100644 --- a/src/content/docs/agents/api-reference/configuration.mdx +++ b/src/content/docs/agents/api-reference/configuration.mdx @@ -9,6 +9,8 @@ import { MetaInfo, Render, Type, WranglerConfig } from "~/components"; An Agent is configured like any other Cloudflare Workers project, and uses [a wrangler configuration](/workers/wrangler/configuration/) file to define where your code is and what services (bindings) it will use. +### Project structure + The typical file structure for an Agent project created from `npm create cloudflare@latest agents-starter -- --template cloudflare/agents-starter` follows: ```sh @@ -28,6 +30,8 @@ The typical file structure for an Agent project created from `npm create cloudfl `-- wrangler.jsonc // your Workers & Agent configuration ``` +### Example configuration + Below is a minimal `wrangler.jsonc` file that defines the configuration for an Agent, including the entry point, `durable_object` namespace, and code `migrations`: @@ -70,3 +74,5 @@ The configuration includes: - A `main` field that points to the entry point of your Agent, which is typically a TypeScript (or JavaScript) file. - A `durable_objects` field that defines the [Durable Object namespace](/durable-objects/reference/glossary/) that your Agents will run within. - A `migrations` field that defines the code migrations that your Agent will use. This field is mandatory and must contain at least one migration. The `new_sqlite_classes` field is mandatory for the Agent to store state. + +Agents must define these fields in their `wrangler.jsonc` (or `wrangler.toml`) config file. diff --git a/src/content/docs/agents/api-reference/http-sse.mdx b/src/content/docs/agents/api-reference/http-sse.mdx index 6cc1edcb582fe2..7070b6a04d83e6 100644 --- a/src/content/docs/agents/api-reference/http-sse.mdx +++ b/src/content/docs/agents/api-reference/http-sse.mdx @@ -10,12 +10,10 @@ import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/com The Agents SDK allows you to handle HTTP requests and has native support for [Server-Sent Events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events) (SSE). This allows you build applications that can push data to clients, avoid buffering -## Handling HTTP requests +### Handling HTTP requests Agents can handle HTTP requests using the `onRequest` method, which is called whenever an HTTP request is received by the Agent instance. The method takes a `Request` object as a parameter and returns a `Response` object. - - ```ts @@ -99,7 +97,6 @@ export default { -## WebSockets vs. Server-Sent Events - - +### WebSockets vs. Server-Sent Events +TODO diff --git a/src/content/docs/agents/api-reference/websockets.mdx b/src/content/docs/agents/api-reference/websockets.mdx index cac5d2112821f2..59bb1514cd128d 100644 --- a/src/content/docs/agents/api-reference/websockets.mdx +++ b/src/content/docs/agents/api-reference/websockets.mdx @@ -38,7 +38,7 @@ export class ChatAgent extends Agent { -## Connecting clients +### Connecting clients The Agent framework includes a useful helper package for connecting directly to your Agent (or other Agents) from a client application. Import `agents-sdk/client`, create an instance of `AgentClient` and use it to connect to an instance of your Agent: @@ -66,7 +66,7 @@ connection.send( -## React clients +### React clients React-based applications can import `agents-sdk/react` and use the `useAgent` hook to connect to an instance of an Agent directly: @@ -107,7 +107,7 @@ function AgentInterface() { The `useAgent` hook automatically handles the lifecycle of the connection, ensuring that it is properly initialized and cleaned up when the component mounts and unmounts. You can also [combine `useAgent` with `useState`](/agents/api-reference/store-and-sync-state/) to automatically synchronize state across all clients connected to your Agent. -## Handling WebSocket events +### Handling WebSocket events Define `onError` and `onClose` methods on your Agent to explicitly handle WebSocket client errors and close events. Log errors, clean up state, and/or emit metrics: From c97e6f636115f09fd43fb21d26b809bb88fca5bc Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Thu, 13 Mar 2025 17:27:31 -0400 Subject: [PATCH 29/65] agents docs --- .../agents/api-reference/calling-agents.mdx | 2 +- .../docs/agents/api-reference/client-api.mdx | 73 +++++++++++++++++++ .../agents/api-reference/using-ai-models.mdx | 2 +- .../agents/getting-started/quickstart.mdx | 2 +- src/content/docs/agents/index.mdx | 2 +- 5 files changed, 77 insertions(+), 4 deletions(-) create mode 100644 src/content/docs/agents/api-reference/client-api.mdx diff --git a/src/content/docs/agents/api-reference/calling-agents.mdx b/src/content/docs/agents/api-reference/calling-agents.mdx index 796b0b5229d91a..c0ca87d9cbeab5 100644 --- a/src/content/docs/agents/api-reference/calling-agents.mdx +++ b/src/content/docs/agents/api-reference/calling-agents.mdx @@ -190,7 +190,7 @@ This ensures we only create Agents for authenticated users, and allows you to va ### Next steps -* Review the [API documentation](/agents/api-reference/sdk/) for the Agents class to learn how to define +* Review the [API documentation](/agents/api-reference/agents-api/) for the Agents class to learn how to define * [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the `agents-sdk` and deploy it to Workers. * Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. * [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the `agents-sdk` and [Workflows](/workflows). diff --git a/src/content/docs/agents/api-reference/client-api.mdx b/src/content/docs/agents/api-reference/client-api.mdx new file mode 100644 index 00000000000000..81b002d109f695 --- /dev/null +++ b/src/content/docs/agents/api-reference/client-api.mdx @@ -0,0 +1,73 @@ +--- +title: Client API +pcx_content_type: concept +sidebar: + order: 11 +--- + +import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/components"; + +The Agents SDK provides a set of client APIs for interacting with Agents from client-side JavaScript code, including: + +* React hooks, including `useAgent` and `useAgentChat`, for connecting to Agents from client applications. +* Client-side [state syncing](/agents/api-reference/store-and-sync-state/) that allows you to subscribe to state updates between the Agent and any connected client(s) when calling `this.setState` within your Agent's code. +* The ability to call remote methods (Remote Procedure Calls; RPC) on the Agent from client-side JavaScript code using the `@callable` method decorator. + +## React hooks + +TODO + +#### `useAgent` + +TODO + + + +```ts +import { useAgent } from "agents-sdk/react"; + +// TODO +``` + + + +#### `useAgentChat` + +TODO + + + +```ts +import { useAgent } from "agents-sdk/react"; +import { useAgentChat } from "agents-sdk/ai-react"; + +// TODO +``` + + + +## State synchronization + +:::note + +Visit the [state management API documentation](/agents/api-reference/store-and-sync-state/) within the Agents SDK, including the native `state` APIs and the built-in `this.sql` API for storing and querying data within your Agents. + +::: + +TODO + + + +```ts +import { useState } from "react"; +import { useAgent } from "agents-sdk/react"; + +// TODO +``` + + + + +## Call remote methods + +TODO diff --git a/src/content/docs/agents/api-reference/using-ai-models.mdx b/src/content/docs/agents/api-reference/using-ai-models.mdx index 1daef498e25951..4098dd3340435d 100644 --- a/src/content/docs/agents/api-reference/using-ai-models.mdx +++ b/src/content/docs/agents/api-reference/using-ai-models.mdx @@ -24,7 +24,7 @@ A user can disconnect during a long-running response from a modern reasoning mod ## Calling AI Models -You can call models from any method within an Agent, including from HTTP requests using the [`onRequest`](/agents/api-reference/sdk/) handler, when a [scheduled task](/agents/api-reference/schedule-tasks/) runs, when handling a WebSocket message in the [`onMessage`](/agents/api-reference/websockets/) handler, or from any of your own methods. +You can call models from any method within an Agent, including from HTTP requests using the [`onRequest`](/agents/api-reference/agents-api/) handler, when a [scheduled task](/agents/api-reference/schedule-tasks/) runs, when handling a WebSocket message in the [`onMessage`](/agents/api-reference/websockets/) handler, or from any of your own methods. Importantly, Agents can call AI models on their own — autonomously — and can handle long-running responses that can take minutes (or longer) to respond in full. diff --git a/src/content/docs/agents/getting-started/quickstart.mdx b/src/content/docs/agents/getting-started/quickstart.mdx index 4f6fb7a8693224..96e2f2ea465c70 100644 --- a/src/content/docs/agents/getting-started/quickstart.mdx +++ b/src/content/docs/agents/getting-started/quickstart.mdx @@ -163,7 +163,7 @@ If you're looking to build a more complex Agent, you can use the Agents SDK to b Otherwise, you can: -* Review the [Agents API reference](/agents/api-reference/creating-agents/) and the APIs exposed by the Agents SDK. +* Review the [Agents API reference](/agents/api-reference/agents-api/) and the APIs exposed by the Agents SDK. * Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. * [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the Agents SDK and [Workflows](/workflows). * How to [schedule tasks](/agents/api-reference/schedule-tasks) from within your Agent using the `this.schedule` API. diff --git a/src/content/docs/agents/index.mdx b/src/content/docs/agents/index.mdx index 5c679ff699c194..c2c11ce2c092d7 100644 --- a/src/content/docs/agents/index.mdx +++ b/src/content/docs/agents/index.mdx @@ -44,7 +44,7 @@ If you're already building on [Workers](/workers/), you can install the `agents- npm i agents-sdk ``` -Dive into the [Agent SDK reference](/agents/api-reference/sdk/) to learn more about how to use the `agents-sdk` package and defining an `Agent`. +Dive into the [Agent SDK reference](/agents/api-reference/agents-api/) to learn more about how to use the `agents-sdk` package and defining an `Agent`. #### Why build agents on Cloudflare? From 0665bdd4572856cdff0aa123118f0a2b06e7ad1f Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Fri, 14 Mar 2025 09:45:14 -0400 Subject: [PATCH 30/65] updates --- .../agents/api-reference/calling-agents.mdx | 40 +++-- .../docs/agents/api-reference/client-api.mdx | 8 + .../docs/agents/api-reference/http-sse.mdx | 18 +- .../api-reference/store-and-sync-state.mdx | 7 + .../agents/getting-started/quickstart.mdx | 169 ------------------ 5 files changed, 52 insertions(+), 190 deletions(-) delete mode 100644 src/content/docs/agents/getting-started/quickstart.mdx diff --git a/src/content/docs/agents/api-reference/calling-agents.mdx b/src/content/docs/agents/api-reference/calling-agents.mdx index c0ca87d9cbeab5..9637e7c0052760 100644 --- a/src/content/docs/agents/api-reference/calling-agents.mdx +++ b/src/content/docs/agents/api-reference/calling-agents.mdx @@ -16,13 +16,12 @@ Agents are created on-the-fly and can serve multiple requests concurrently. Each -You can create and run an instance of an Agent directly from a Worker in one of three ways: +You can create and run an instance of an Agent directly from a Worker using either: -1. Using the `routeAgentRequest` helper: this will automatically map requests to an individual Agent based on the `/agents/:agent/:name` URL pattern. The value of `:agent` will be the name of your Agent class converted to `kebab-case`, and the value of `:name` will be the name of the Agent instance you want to create or retrieve. -2. Calling `getAgentByName`, which will create a new Agent instance if none exists by that name, or retrieve a handle to an existing instance. -3. The [Durable Objects stub API](/durable-objects/api/id/), which provides a lower level API for creating and retrieving Agents. +* The `routeAgentRequest` helper: this will automatically map requests to an individual Agent based on the `/agents/:agent/:name` URL pattern. The value of `:agent` will be the name of your Agent class converted to `kebab-case`, and the value of `:name` will be the name of the Agent instance you want to create or retrieve. +* `getAgentByName`, which will create a new Agent instance if none exists by that name, or retrieve a handle to an existing instance. -These three patterns are shown below: we recommend using either `routeAgentRequest` or `getAgentByName`, which help avoid some boilerplate. +See the usage patterns in the following example: @@ -41,23 +40,16 @@ export default { // Routed addressing // Automatically routes HTTP requests and/or WebSocket connections to /agents/:agent/:name // Best for: connecting React apps directly to Agents using useAgent from agents-sdk/react - (await routeAgentRequest(request, env)) || Response.json({ msg: 'no agent here' }, { status: 404 }); + return (await routeAgentRequest(request, env)) || Response.json({ msg: 'no agent here' }, { status: 404 }); // Named addressing // Best for: convenience method for creating or retrieving an agent by name/ID. + // Bringing your own routing, middleware and/or plugging into an existing + // application or framework. let namedAgent = getAgentByName(env.MyAgent, 'my-unique-agent-id'); // Pass the incoming request straight to your Agent let namedResp = (await namedAgent).fetch(request); - - // Durable Objects-style addressing - // Best for: controlling ID generation, associating IDs with your existing systems, - // and customizing when/how an Agent is created or invoked - const id = env.MyAgent.newUniqueId(); - const agent = env.MyAgent.get(id); - // Pass the incoming request straight to your Agent - let resp = await agent.fetch(request); - - return Response.json({ hello: 'visit https://developers.cloudflare.com/agents for more' }); + return namedResp }, } satisfies ExportedHandler; @@ -71,9 +63,19 @@ export class MyAgent extends Agent { When creating names for your Agents, think about what the Agent represents. A unique user? A team or company? A room or channel for collaboration? -A consistent approach to naming allows you to direct incoming requests directly to the right Agent, and deterministically route new requests back to that Agent, no matter where the client is in the world. For a given Agent definition (or 'namespace' in the code below), there can be millions (or tens of millions) of instances of that Agent, each handling their own requests, making calls to LLMs, and maintaining their own state. +A consistent approach to naming allows you to: + +* direct incoming requests directly to the right Agent +* deterministically route new requests back to that Agent, no matter where the client is in the world. +* avoid having to rely on centralized session storage or external services for state management, since each Agent instance can maintain its own state. -For example, you might have an Agent for every user using your new AI-based code editor. In that case, you'd want to create Agents based on the user ID from your system, which would then allow that Agent to handle all requests for that user. It also ensures that [state within the Agent](/agents/api-reference/store-and-sync-state/), including chat history, language preferences, model configuration and other context can associated specifically with that user, making it easier to manage state. +For a given Agent definition (or 'namespace' in the code below), there can be millions (or tens of millions) of instances of that Agent, each handling their own requests, making calls to LLMs, and maintaining their own state. + +For example, you might have an Agent for every user using your new AI-based code editor. In that case, you'd want to create Agents based on the user ID from your system, which would then allow that Agent to handle all requests for that user. + +It also ensures that [state within the Agent](/agents/api-reference/store-and-sync-state/), including chat history, language preferences, model configuration and other context can associated specifically with that user, making it easier to manage state. + +The example below shows how to create a unique agent Agent for each `userId` in a request: @@ -102,6 +104,8 @@ export class MyAgent extends Agent { ``` +Replace `userId` with `teamName`, `channel`, `companyName` as fits your Agents goals - and/or configure authentication to ensure Agents are only created for known, authenticated users. + ### Authenticating Agents When building and deploying Agents using the Agents SDK, you will often want to authenticate clients before passing requests to an Agent in order to restrict who the Agent will call, authorize specific users for specific Agents, and/or to limit who can access administrative or debug APIs exposed by an Agent. diff --git a/src/content/docs/agents/api-reference/client-api.mdx b/src/content/docs/agents/api-reference/client-api.mdx index 81b002d109f695..04768382e44a75 100644 --- a/src/content/docs/agents/api-reference/client-api.mdx +++ b/src/content/docs/agents/api-reference/client-api.mdx @@ -71,3 +71,11 @@ import { useAgent } from "agents-sdk/react"; ## Call remote methods TODO + + +### Next steps + +* Review the [API documentation](/agents/api-reference/agents-api/) for the Agents class to learn how to define +* [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the `agents-sdk` and deploy it to Workers. +* Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. +* [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the `agents-sdk` and [Workflows](/workflows). \ No newline at end of file diff --git a/src/content/docs/agents/api-reference/http-sse.mdx b/src/content/docs/agents/api-reference/http-sse.mdx index 7070b6a04d83e6..7d0eb3e7ab99c6 100644 --- a/src/content/docs/agents/api-reference/http-sse.mdx +++ b/src/content/docs/agents/api-reference/http-sse.mdx @@ -93,10 +93,22 @@ export default { }; ``` - - ### WebSockets vs. Server-Sent Events -TODO +Both WebSockets and Server-Sent Events (SSE) enable real-time communication between clients and Agents. Agents built on the Agents SDK can expose both WebSocket and SSE endpoints directly. + +* WebSockets provide full-duplex communication, allowing data to flow in both directions simultaneously. SSE only supports server-to-client communication, requiring additional HTTP requests if the client needs to send data back. +* WebSockets establish a single persistent connection that stays open for the duration of the session. SSE, being built on HTTP, may experience more overhead due to reconnection attempts and header transmission with each reconnection, especially when there is a lot of client-server communication. +* While SSE works well for simple streaming scenarios, WebSockets are better suited for applications requiring minutes or hours of connection time, as they maintain a more stable connection with built-in ping/pong mechanisms to keep connections alive. +* WebSockets use their own protocol (ws:// or wss://), separating them from HTTP after the initial handshake. This separation allows WebSockets to better handle binary data transmission and implement custom subprotocols for specialized use cases. + +If you're unsure of which is better for your use-case, we recommend WebSockets. The [WebSockets API documentation](/agents/api-reference/websockets/) provides detailed information on how to use WebSockets with the `agents-sdk`. + +### Next steps + +* Review the [API documentation](/agents/api-reference/agents-api/) for the Agents class to learn how to define +* [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the `agents-sdk` and deploy it to Workers. +* Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. +* [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the `agents-sdk` and [Workflows](/workflows). diff --git a/src/content/docs/agents/api-reference/store-and-sync-state.mdx b/src/content/docs/agents/api-reference/store-and-sync-state.mdx index 6e7c3d7c9c7d13..f5632eae87dfa2 100644 --- a/src/content/docs/agents/api-reference/store-and-sync-state.mdx +++ b/src/content/docs/agents/api-reference/store-and-sync-state.mdx @@ -281,3 +281,10 @@ export class ReasoningAgent extends Agent { This works because each instance of an Agent has its _own_ database, the state stored in that database is private to that Agent: whether it's acting on behalf of a single user, a room or channel, or a deep research tool. By default, you don't have to manage contention or reach out over the network to a centralized database to retrieve and store state. + +### Next steps + +* Review the [API documentation](/agents/api-reference/agents-api/) for the Agents class to learn how to define +* [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the `agents-sdk` and deploy it to Workers. +* Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. +* [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the `agents-sdk` and [Workflows](/workflows). diff --git a/src/content/docs/agents/getting-started/quickstart.mdx b/src/content/docs/agents/getting-started/quickstart.mdx deleted file mode 100644 index 96e2f2ea465c70..00000000000000 --- a/src/content/docs/agents/getting-started/quickstart.mdx +++ /dev/null @@ -1,169 +0,0 @@ ---- -title: Quickstart -pcx_content_type: get-started -sidebar: - order: 1 - ---- - -import { Render, FileTree, GitHubCode, PackageManagers, TypeScriptExample, WranglerConfig } from "~/components" - -This quick start tutorial will have you build a basic Agent that can generate code based on user prompts. - -It will show you how the Agent SDK works, how to handle requests, call AI models, store and sync state from within the Agent itself, and how to route to and call Agents from your Workers code. - -### Prerequisites - - - -### Setup the Agent - -You can fetch the quick start code using the following command: - -```sh -npm create cloudflare@latest agents-quick-start -- --template="cloudflare/agents-quick-start" -``` - -This will create a new directory called `agents-quick-start`, ask you a few basic questions (select yes), and install the necessary dependencies. - -Once complete, change into the Agent's directory: - -```sh -cd agents-quick-start -``` - -Inside this directory, there are a number of files, but we only need to worry about two for now: - -* `src/index.ts` - contains your Agent's code -* `wrangler.jsonc` - defines the configuration for your Worker & Agent - -Let's take a look at how the Agent in the quick start is defined. - -:::note[Escape hatch] - -You can escape from the rest of this quickstart guide right here: run `npm run start` to run the code locally, open `src/index.ts` to explore the code, and run `npx wrangler@latest deploy` to deploy it your Cloudflare account. - -The rest of this quickstart briefly steps through the code and sending requests to the Agent: if this is your first time using the Agents SDK and/or Cloudflare Workers, you'll likely want to keep reading. - -::: - -### Understand the Agent class - -Open the `src/index.ts` file in your editor: - -TODO - -### Run your Agent - -OK, it's time to run your first Agent! - -You can run your Agent locally, which can be useful during development when iterating and/or when testing your Agent's functionality. To run your Agent locally, use the following command: - -```sh -npm run dev -``` -```sh output -Your Worker and resources are simulated locally via Miniflare. For more information, see: https://developers.cloudflare.com/workers/testing/local-development. - -Your worker has access to the following bindings: -- Durable Objects: - - MyAgent: MyAgent -- AI: - - Name: AI [connected to remote resource] - -Starting local server... -[wrangler:inf] Ready on http://localhost:8787 -``` - -Your Agent is now running locally on your machine, and ready to communicate with the outside world. Make sure to leave this server running so we can talk to your Agent in the next step. - -### Communicate with your Agent - -Let's communicate with your Agent and have it book us a flight (well, pretend to). - -TODO: - -- Make a request for a booking -- get a response -- confirm the booking -- get the booked flight - - -#### Agent routing - -In the `agents-quick-start` we use the `routeAgentRequest` helper to automatically handle routing to existing and creating new Agent instances on-the-fly. - -If you open up `src/index.ts`, you'll see that `routeAgentRequest` handles requests to `/agents/:agent/:name` - in our case, that's `/agents/flight-agent/:name`, where name is a unique identifier for that Agent instance. - - - - - -```ts -export default { - async fetch(request, env, ctx) { - // Built-in Agent routing (recommended to start with) - // routeAgentRequest routes HTTP requests and/or WebSocket connections to a specific Agent instance - // Expects requests are of the format /agents/:agent/:name - // - // - :agent is the kebab-case of your Agent class name - e.g. MyAgent becomes my-agent - // - :name is provided by the incoming client and names the unique instance of the Agent. NOTE: If an Agent doesn't exist by that name, one will be created on-the-fly. - return (await routeAgentRequest(request, env, {})) || Response.json({ msg: 'no agent here' }, { status: 404 }); - }, -} satisfies ExportedHandler -``` - - - -You can learn about more ways to call into your Agents, as well as how to add authentication in front of your Agents, by reviewing the [documentation on calling Agents](/agents/api-reference/calling-agents/). - -### Ship to production - -OK, we've: - -1. Learned how the `Agent` class works and how to define our own Agents using the Agents SDK. -2. Run our Agent locally and communicated with it. -3. Reviewed how routing to an Agent works, including how Agents are created and retrieved. - -Let's deploy our Agent using `wrangler`, which was installed when we originally used `npm create cloudflare`: - -```sh -npx wrangler@latest deploy -``` - -If this is your first time deploying to Cloudflare Workers, you'll be asked to login. Otherwise, you'll see output similar to the following, including a `workers.dev` URL that allows you access any public endpoints your Agent exposes: - -```sh output - -``` - -You can then use `wscat` to talk to your Agent running in production on Cloudflare's global network: - -```sh -wscat --connect="wss://agents-quick-start.YOUR_SUBDOMAIN.workers.dev/agents/my-agent/user-id-12345 -``` - -TODO - debug / logs / errors / tail - -### Extend the Agent - -TODO; - -- AI SDK -- Adding a new tool - - -### Optional: Clean-up - -TODO: delete - -### Next steps - -If you're looking to build a more complex Agent, you can use the Agents SDK to build a fully-functioning AI Agent with a React front-end, tool calling, and state sync that is built on the Agents SDK with the [Agents SDK starter app](/agents/getting-started/build-a-chat-agent/). - -Otherwise, you can: - -* Review the [Agents API reference](/agents/api-reference/agents-api/) and the APIs exposed by the Agents SDK. -* Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. -* [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the Agents SDK and [Workflows](/workflows). -* How to [schedule tasks](/agents/api-reference/schedule-tasks) from within your Agent using the `this.schedule` API. From 601d7fbd93f93b7585f2291250e9baf44e0083fb Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Fri, 14 Mar 2025 10:30:48 -0400 Subject: [PATCH 31/65] more --- src/assets/images/agents/agents-apng.apng | Bin 0 -> 665728 bytes .../agents/2025-02-25-agents-sdk.mdx | 10 +-- .../agents/2025-03-17-npm-i-agents.mdx | 70 ++++++++++++++++++ .../docs/agents/api-reference/agents-api.mdx | 18 ++--- .../agents/api-reference/calling-agents.mdx | 4 +- .../docs/agents/api-reference/client-api.mdx | 4 +- .../docs/agents/api-reference/http-sse.mdx | 6 +- src/content/docs/agents/api-reference/rag.mdx | 2 +- .../agents/api-reference/schedule-tasks.mdx | 2 +- .../api-reference/store-and-sync-state.mdx | 8 +- .../agents/api-reference/using-ai-models.mdx | 10 +-- .../docs/agents/api-reference/websockets.mdx | 4 +- .../docs/agents/guides/human-in-the-loop.mdx | 2 +- src/content/docs/agents/index.mdx | 12 +-- 14 files changed, 111 insertions(+), 41 deletions(-) create mode 100644 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- + ); } From 36021656aa249f753e32bc9673865116d2358f00 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 17 Mar 2025 09:23:08 -0400 Subject: [PATCH 53/65] fix --- .../changelog/agents/2025-03-18-npm-i-agents.mdx | 2 +- .../docs/agents/api-reference/agents-api.mdx | 16 +++++++--------- 2 files changed, 8 insertions(+), 10 deletions(-) diff --git a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx index d42124e1f1cef1..3ba62e8ee20125 100644 --- a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx +++ b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx @@ -42,7 +42,7 @@ Future updates will be pushed to the new `agents` package, and the older package We've added a number of big new features to the Agents SDK over the past few weeks, including: - TODO -- TODO +- TODO: you can now set `cors: true` when using `routeAgentRequest` to return permissive default CORS headers to Agent responses. - TODO: the regular client now syncs state on the agent (just like the react version) - TODO: useAgentChat bug fixes for passing headers/credentials, properly clearing cache on unmount, etc - TODO: experiemental /schedule module with a prompt/schema for adding scheduling to your app (with evals!) diff --git a/src/content/docs/agents/api-reference/agents-api.mdx b/src/content/docs/agents/api-reference/agents-api.mdx index 15000c9a44b28a..226d28127430b3 100644 --- a/src/content/docs/agents/api-reference/agents-api.mdx +++ b/src/content/docs/agents/api-reference/agents-api.mdx @@ -751,24 +751,22 @@ interface TaskState { function TaskManager() { const [newTask, setNewTask] = useState(""); - + // Connect to a task-manager Agent instance const agent = useAgent({ agent: "task-manager", name: "user-123-tasks", - onStateUpdate: (state, source) => { console.log(`State updated from ${source}`, state); }, - onOpen: () => console.log("Connected to task manager agent"), onClose: () => console.log("Disconnected from task manager agent") }); - + function addTask(e: React.FormEvent) { e.preventDefault(); if (!newTask.trim()) return; - + // Update the Agent's state agent.setState({ ...agent.state, @@ -777,12 +775,12 @@ function TaskManager() { { id: Date.now().toString(), text: newTask, completed: false } ] }); - + setNewTask(""); } - + return ( - <> +

Task Manager

{task.text} ))} - +
); } From bc22f397ce21e8738397f83a0872d2625a95c40b Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 17 Mar 2025 09:31:47 -0400 Subject: [PATCH 54/65] ok --- .../docs/agents/api-reference/agents-api.mdx | 75 +------------------ 1 file changed, 4 insertions(+), 71 deletions(-) diff --git a/src/content/docs/agents/api-reference/agents-api.mdx b/src/content/docs/agents/api-reference/agents-api.mdx index 226d28127430b3..c111050094f840 100644 --- a/src/content/docs/agents/api-reference/agents-api.mdx +++ b/src/content/docs/agents/api-reference/agents-api.mdx @@ -532,7 +532,7 @@ export class YourAgent extends Agent { ) `; } - + async createUser(id: string, name: string, email: string) { // Insert a new user this.sql` @@ -540,16 +540,16 @@ export class YourAgent extends Agent { VALUES (${id}, ${name}, ${email}, ${Date.now()}) `; } - + async getUserById(id: string): Promise { // Query a user by ID const users = this.sql` SELECT * FROM users WHERE id = ${id} `; - + return users.length ? users[0] : null; } - + async searchUsers(term: string): Promise { // Search users with a wildcard return this.sql` @@ -737,73 +737,6 @@ function useAgent( }; ``` - - -```tsx -// Example of using useAgent in a React component -import { useAgent } from "agents/react"; -import { useState } from "react"; - -interface TaskState { - tasks: Array<{ id: string; text: string; completed: boolean }>; - filter: "all" | "active" | "completed"; -} - -function TaskManager() { - const [newTask, setNewTask] = useState(""); - - // Connect to a task-manager Agent instance - const agent = useAgent({ - agent: "task-manager", - name: "user-123-tasks", - onStateUpdate: (state, source) => { - console.log(`State updated from ${source}`, state); - }, - onOpen: () => console.log("Connected to task manager agent"), - onClose: () => console.log("Disconnected from task manager agent") - }); - - function addTask(e: React.FormEvent) { - e.preventDefault(); - if (!newTask.trim()) return; - - // Update the Agent's state - agent.setState({ - ...agent.state, - tasks: [ - ...(agent.state?.tasks || []), - { id: Date.now().toString(), text: newTask, completed: false } - ] - }); - - setNewTask(""); - } - - return ( -
-

Task Manager

- - setNewTask(e.target.value)} - placeholder="Add a new task" - /> - - -
    - {agent.state?.tasks?.map(task => ( -
  • {task.text}
    • - ))} -
-
- ); -} - -export default TaskManager; -``` - - - ### Chat Agent The Agents SDK exposes an `AIChatAgent` class that extends the `Agent` class and exposes an `onChatMessage` method that simplifies building interactive chat agents. From 262511975af19e5dfd76fdb50685df2aab053664 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 17 Mar 2025 13:08:06 -0400 Subject: [PATCH 55/65] reference --- src/content/changelog/agents/2025-03-18-npm-i-agents.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx index 3ba62e8ee20125..ba2340bf84284e 100644 --- a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx +++ b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx @@ -110,7 +110,7 @@ We've heard your feedback on the Agents SDK documentation, and we're shipping mo - Expanded [API reference documentation](/agents/api-reference/), covering the methods and properties exposed by the Agents SDK, as well as more usage examples. - More [Client API](/agents/api-reference/agents-api/#client-api) documentation that documents `useAgent`, `useAgentChat` and the new `@callable` RPC decorator exposed by the SDK. -- New documentation on how to [call agents](/agents/api-refererence/calling-agents/) and (optionally) authenticate clients before they connect to your Agents. +- New documentation on how to [call agents](/agents/api-reference/calling-agents/) and (optionally) authenticate clients before they connect to your Agents. Note that the Agents SDK is continually growing: the type definitions included in the SDK will always include the latest APIs exposed by the `agents` package. From 9981116cede810e87ec10b6f4baf7ed7f5bb5a14 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 17 Mar 2025 15:35:29 -0400 Subject: [PATCH 56/65] update --- src/content/docs/agents/index.mdx | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/content/docs/agents/index.mdx b/src/content/docs/agents/index.mdx index 89a07c7941c80a..391b89e7c9f357 100644 --- a/src/content/docs/agents/index.mdx +++ b/src/content/docs/agents/index.mdx @@ -25,9 +25,9 @@ import { Build and deploy AI-powered Agents on Cloudflare that can autonomously perform tasks, communicate with clients in real time, persist state, execute long-running and repeat tasks on a schedule, send emails, run asynchronous workflows, browse the web, query data from your Postgres database, call AI models, support human-in-the-loop use-cases, and more. -#### Ship your first Agent +### Ship your first Agent -Use the agent starter template to create your first Agent with the `agents-sdk`: +Use the agent starter template to create your first Agent with the Agents SDK: ```sh # install it @@ -46,7 +46,7 @@ npm i agents Dive into the [Agent SDK reference](/agents/api-reference/agents-api/) to learn more about how to use the Agents SDK package and defining an `Agent`. -#### Why build agents on Cloudflare? +### Why build agents on Cloudflare? We built the Agents SDK with a few things in mind: @@ -58,7 +58,7 @@ Agents built with Agents SDK can be deployed directly to Cloudflare and run on t --- -#### Build on the Cloudflare Platform +### Build on the Cloudflare Platform From 8df9a0b3f800c943eea809864c55939e9ca92a0d Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 17 Mar 2025 16:21:04 -0400 Subject: [PATCH 57/65] fix changelog --- .../agents/2025-03-18-npm-i-agents.mdx | 60 ++++++++++++------- 1 file changed, 39 insertions(+), 21 deletions(-) diff --git a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx index ba2340bf84284e..0dc81056b403cd 100644 --- a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx +++ b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx @@ -41,39 +41,59 @@ Future updates will be pushed to the new `agents` package, and the older package We've added a number of big new features to the Agents SDK over the past few weeks, including: -- TODO -- TODO: you can now set `cors: true` when using `routeAgentRequest` to return permissive default CORS headers to Agent responses. -- TODO: the regular client now syncs state on the agent (just like the react version) -- TODO: useAgentChat bug fixes for passing headers/credentials, properly clearing cache on unmount, etc -- TODO: experiemental /schedule module with a prompt/schema for adding scheduling to your app (with evals!) +- You can now set `cors: true` when using `routeAgentRequest` to return permissive default CORS headers to Agent responses. +- Te regular client now syncs state on the agent (just like the React version) +- `useAgentChat` bug fixes for passing headers/credentials, includng properly clearing cache on unmount. +- Experimental `/schedule` module with a prompt/schema for adding scheduling to your app (with evals!) +- Changed the internal `zod` schema to be compatible with the limitations of Google's Gemini models by removing the discriminated union, allowing you to use Gemini models with the scheduling API. We've also fixed a number of bugs with state synchronization and the React hooks. + + +```ts +// via https://github.com/cloudflare/agents/tree/main/examples/cross-domain +export default { + async fetch(request: Request, env: Env) { + return ( + // Set { cors: true } to enable CORS headers. + (await routeAgentRequest(request, env, { cors: true })) || + new Response("Not found", { status: 404 }) + ); + }, +} satisfies ExportedHandler; +``` + + + #### Call Agent methods from your client code -We've added a new [`@callable()`](/agents/api-reference/agents-api/) decorator for defining methods that can be called directly from clients. This allows you call methods from within your client code: you can call methods (with arguments) and get native JavaScript objects back. +We've added a new [`@unstable_callable()`](/agents/api-reference/agents-api/) decorator for defining methods that can be called directly from clients. This allows you call methods from within your client code: you can call methods (with arguments) and get native JavaScript objects back. ```ts // server.ts -import { Agent, callable } from 'agents'; - -class MyAgent extends Agent { - @callable() - async getHistory(limit: number = 10): Promise { - // Allow a client to directly fetch chat history - return this.state.chatHistory.slice(-limit) - } -} - +import { unstable_callable, Agent, type StreamingResponse } from "agents"; +import type { Env } from "../server"; + + export class Rpc extends Agent { + // Use the decorator to define a callable method + @unstable_callable({ + description: "rpc test", + }) + async getHistory() { + return this.sql`SELECT * FROM history ORDER BY created_at DESC LIMIT 10`; + } +``` +```tsx // client.tsx const { call } = useAgent({ agent: "rpc" }); const fetchUserHistory = async () => { try { setLoading(true); - // Call methods directly on the Agent + // Call methods directly on the Agent! const result = await call("getHistory"); addToast(`RPC result: ${result}`, "success"); } catch (error) { @@ -82,18 +102,16 @@ const fetchUserHistory = async () => { setLoading(false); } }; - ``` + #### agents-starter The [`agents-starter`](https://github.com/cloudflare/agents-starter) project — a real-time, chat-based example application with tool-calling & human-in-the-loop built using the Agents SDK — has seen the following updates: -- TODO - Upgraded to use the latest [wrangler v4](/changelog/2025-03-13-wrangler-v4/) release. - [Workers AI](/workers-ai/) is now the default AI provider in the [`agents-starter`](https://github.com/cloudflare/agents-starter) project: this uses the new [structured outputs](/changelog/2025-02-25-json-mode/) (or "JSON mode") support now in Workers AI and the [`workers-ai-provider`](https://sdk.vercel.ai/providers/community-providers/cloudflare-workers-ai#generateobject). -- Changed the internal `zod` schema to be compatible with the limitations of Google's Gemini models, allowing you to use Gemini models with the starter. If you're new to Agents, you can install and run the `agents-starter` project in two commands: @@ -109,7 +127,7 @@ $ npm run start We've heard your feedback on the Agents SDK documentation, and we're shipping more API reference material and usage examples, including: - Expanded [API reference documentation](/agents/api-reference/), covering the methods and properties exposed by the Agents SDK, as well as more usage examples. -- More [Client API](/agents/api-reference/agents-api/#client-api) documentation that documents `useAgent`, `useAgentChat` and the new `@callable` RPC decorator exposed by the SDK. +- More [Client API](/agents/api-reference/agents-api/#client-api) documentation that documents `useAgent`, `useAgentChat` and the new `@unstable_callable` RPC decorator exposed by the SDK. - New documentation on how to [call agents](/agents/api-reference/calling-agents/) and (optionally) authenticate clients before they connect to your Agents. Note that the Agents SDK is continually growing: the type definitions included in the SDK will always include the latest APIs exposed by the `agents` package. From e73238135a066e533b4326c475b656661010c1a5 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 17 Mar 2025 16:27:47 -0400 Subject: [PATCH 58/65] fix typo --- src/content/changelog/agents/2025-03-18-npm-i-agents.mdx | 1 + 1 file changed, 1 insertion(+) diff --git a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx index 0dc81056b403cd..7629ccde6e4b6e 100644 --- a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx +++ b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx @@ -85,6 +85,7 @@ import type { Env } from "../server"; async getHistory() { return this.sql`SELECT * FROM history ORDER BY created_at DESC LIMIT 10`; } +} ``` ```tsx // client.tsx From 1e74471284082cfdd120079491c3b49e49aa05bf Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 17 Mar 2025 16:37:18 -0400 Subject: [PATCH 59/65] ok --- .../add-an-agent-to-an-existing-project.mdx | 37 ------------------- src/content/docs/agents/index.mdx | 24 ++++++++++-- 2 files changed, 21 insertions(+), 40 deletions(-) delete mode 100644 src/content/docs/agents/getting-started/add-an-agent-to-an-existing-project.mdx diff --git a/src/content/docs/agents/getting-started/add-an-agent-to-an-existing-project.mdx b/src/content/docs/agents/getting-started/add-an-agent-to-an-existing-project.mdx deleted file mode 100644 index 366d6cd8580056..00000000000000 --- a/src/content/docs/agents/getting-started/add-an-agent-to-an-existing-project.mdx +++ /dev/null @@ -1,37 +0,0 @@ ---- -title: Add an Agent to Workers -pcx_content_type: get-started -sidebar: - order: 3 ---- - -import { Render, PackageManagers, WranglerConfig } from "~/components" - -TODO - -### Add an Agent to an existing project - -TODO - -### Install the Agents SDK - -TODO - -### Define your Agent class - -TODO - -### Attach the Agent to your Worker - -TODO - -### Deploy it - -TODO - -### Next steps - -* Review the [API documentation](/agents/api-reference/agents-api/) for the Agents class to learn how to define -* [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the Agents SDK and deploy it to Workers. -* Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. -* [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the Agents SDK and [Workflows](/workflows). diff --git a/src/content/docs/agents/index.mdx b/src/content/docs/agents/index.mdx index 391b89e7c9f357..c01991f546e724 100644 --- a/src/content/docs/agents/index.mdx +++ b/src/content/docs/agents/index.mdx @@ -23,11 +23,11 @@ import { Tabs, } from "~/components"; -Build and deploy AI-powered Agents on Cloudflare that can autonomously perform tasks, communicate with clients in real time, persist state, execute long-running and repeat tasks on a schedule, send emails, run asynchronous workflows, browse the web, query data from your Postgres database, call AI models, support human-in-the-loop use-cases, and more. +The Agents SDK enables you to build and deploy AI-powered agents that can autonomously perform tasks, communicate with clients in real time, call AI models, persist state, schedule tasks, run asynchronous workflows, browse the web, query data from your database, support human-in-the-loop interactions, and [a lot more](/agents/api-reference/). ### Ship your first Agent -Use the agent starter template to create your first Agent with the Agents SDK: +To use the agent starter template and create your first Agent with the Agents SDK: ```sh # install it @@ -36,7 +36,7 @@ npm create cloudflare@latest agents-starter -- --template=cloudflare/agents-star npx wrangler@latest deploy ``` -Head to the guide on [building a chat agent](/agents/getting-started/build-a-chat-agent) to learn how to build and deploy an Agent to prod. +Head to the guide on [building a chat agent](/agents/getting-started/build-a-chat-agent) to learn how the starter project is built and how to use it as a foundation for your own agents. If you're already building on [Workers](/workers/), you can install the `agents` package directly into an existing project: @@ -44,6 +44,24 @@ If you're already building on [Workers](/workers/), you can install the `agents` npm i agents ``` +And then define your first Agent by creating a class that extends the `Agent` class: + + + +```ts +import { Agent, AgentNamespace } from 'agents'; + +export class MyAgent extends Agent { + // Define methods on the Agent: + // https://developers.cloudflare.com/agents/api-reference/agents-api/ + // Every Agent has built in state via this.setState and this.sql + // Built-in scheduling via this.schedule + // Agents support WebSockets, HTTP requests, state synchronization and + // can run for seconds, minutes or hours: as long as the tasks need. +} +``` + + Dive into the [Agent SDK reference](/agents/api-reference/agents-api/) to learn more about how to use the Agents SDK package and defining an `Agent`. ### Why build agents on Cloudflare? From 99bbebc5f87533c073ff3d3e11a22791acdf5316 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 17 Mar 2025 16:46:53 -0400 Subject: [PATCH 60/65] ok --- src/content/docs/agents/index.mdx | 1 + 1 file changed, 1 insertion(+) diff --git a/src/content/docs/agents/index.mdx b/src/content/docs/agents/index.mdx index c01991f546e724..2cbe9f2560606e 100644 --- a/src/content/docs/agents/index.mdx +++ b/src/content/docs/agents/index.mdx @@ -21,6 +21,7 @@ import { Render, TabItem, Tabs, + TypeScriptExample, } from "~/components"; The Agents SDK enables you to build and deploy AI-powered agents that can autonomously perform tasks, communicate with clients in real time, call AI models, persist state, schedule tasks, run asynchronous workflows, browse the web, query data from your database, support human-in-the-loop interactions, and [a lot more](/agents/api-reference/). From 77c4e1acd148aa8a7aa857677956fc3bb11c882f Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 17 Mar 2025 17:11:28 -0400 Subject: [PATCH 61/65] icon --- src/content/changelog/agents/2025-03-18-npm-i-agents.mdx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx index 7629ccde6e4b6e..c1109f3459a5e0 100644 --- a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx +++ b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx @@ -15,7 +15,7 @@ import npmAgentsAnimated from "~/assets/images/agents/npm-i-agents.apng" #### `agents-sdk` -> `agents` -**We've renamed the Agents package to `agents`**! +📝 **We've renamed the Agents package to `agents`**! If you've already been building with the Agents SDK, you can update your dependencies to use the new package name, and replace references to `agents-sdk` with `agents`: @@ -35,7 +35,7 @@ grep -r 'agents-sdk' . sed -i 's/agents-sdk/agents/g' $(grep -rl 'agents-sdk' .) ``` -Future updates will be pushed to the new `agents` package, and the older package will be marked as deprecated. +All future updates will be pushed to the new `agents` package, and the older package has been marked as deprecated. #### Agents SDK updates From d9bdb217c106aa952377ad8ca1de3a0b6b3867ea Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 17 Mar 2025 17:31:38 -0400 Subject: [PATCH 62/65] ok --- src/content/changelog/agents/2025-03-18-npm-i-agents.mdx | 2 +- src/content/docs/agents/index.mdx | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx index c1109f3459a5e0..a37a8800b1b3e3 100644 --- a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx +++ b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx @@ -42,7 +42,7 @@ All future updates will be pushed to the new `agents` package, and the older pac We've added a number of big new features to the Agents SDK over the past few weeks, including: - You can now set `cors: true` when using `routeAgentRequest` to return permissive default CORS headers to Agent responses. -- Te regular client now syncs state on the agent (just like the React version) +- The regular client now syncs state on the agent (just like the React version) - `useAgentChat` bug fixes for passing headers/credentials, includng properly clearing cache on unmount. - Experimental `/schedule` module with a prompt/schema for adding scheduling to your app (with evals!) - Changed the internal `zod` schema to be compatible with the limitations of Google's Gemini models by removing the discriminated union, allowing you to use Gemini models with the scheduling API. diff --git a/src/content/docs/agents/index.mdx b/src/content/docs/agents/index.mdx index 2cbe9f2560606e..d666a7dc138bef 100644 --- a/src/content/docs/agents/index.mdx +++ b/src/content/docs/agents/index.mdx @@ -52,9 +52,10 @@ And then define your first Agent by creating a class that extends the `Agent` cl ```ts import { Agent, AgentNamespace } from 'agents'; -export class MyAgent extends Agent { +export class MyAgent extends Agent { // Define methods on the Agent: // https://developers.cloudflare.com/agents/api-reference/agents-api/ + // // Every Agent has built in state via this.setState and this.sql // Built-in scheduling via this.schedule // Agents support WebSockets, HTTP requests, state synchronization and From 367e3fee5042d8a79be6ec3d327fd728b6876dc1 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Mon, 17 Mar 2025 17:31:51 -0400 Subject: [PATCH 63/65] k --- src/content/docs/agents/index.mdx | 1 + 1 file changed, 1 insertion(+) diff --git a/src/content/docs/agents/index.mdx b/src/content/docs/agents/index.mdx index d666a7dc138bef..41b2a471f2de3e 100644 --- a/src/content/docs/agents/index.mdx +++ b/src/content/docs/agents/index.mdx @@ -62,6 +62,7 @@ export class MyAgent extends Agent { // can run for seconds, minutes or hours: as long as the tasks need. } ``` + Dive into the [Agent SDK reference](/agents/api-reference/agents-api/) to learn more about how to use the Agents SDK package and defining an `Agent`. From 17cf3521e705edba786be2bfc8b51466509aa320 Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Tue, 18 Mar 2025 07:09:45 -0400 Subject: [PATCH 64/65] Apply suggestions from code review Co-authored-by: Jun Lee --- src/content/changelog/agents/2025-03-18-npm-i-agents.mdx | 4 ++-- src/content/docs/agents/api-reference/calling-agents.mdx | 2 +- src/content/docs/agents/api-reference/http-sse.mdx | 4 ++-- .../docs/agents/api-reference/store-and-sync-state.mdx | 2 +- src/content/docs/agents/index.mdx | 2 +- 5 files changed, 7 insertions(+), 7 deletions(-) diff --git a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx index a37a8800b1b3e3..72b1fcee555648 100644 --- a/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx +++ b/src/content/changelog/agents/2025-03-18-npm-i-agents.mdx @@ -42,9 +42,9 @@ All future updates will be pushed to the new `agents` package, and the older pac We've added a number of big new features to the Agents SDK over the past few weeks, including: - You can now set `cors: true` when using `routeAgentRequest` to return permissive default CORS headers to Agent responses. -- The regular client now syncs state on the agent (just like the React version) +- The regular client now syncs state on the agent (just like the React version). - `useAgentChat` bug fixes for passing headers/credentials, includng properly clearing cache on unmount. -- Experimental `/schedule` module with a prompt/schema for adding scheduling to your app (with evals!) +- Experimental `/schedule` module with a prompt/schema for adding scheduling to your app (with evals!). - Changed the internal `zod` schema to be compatible with the limitations of Google's Gemini models by removing the discriminated union, allowing you to use Gemini models with the scheduling API. We've also fixed a number of bugs with state synchronization and the React hooks. diff --git a/src/content/docs/agents/api-reference/calling-agents.mdx b/src/content/docs/agents/api-reference/calling-agents.mdx index 2d0786330146b4..7bc38dccc1ee13 100644 --- a/src/content/docs/agents/api-reference/calling-agents.mdx +++ b/src/content/docs/agents/api-reference/calling-agents.mdx @@ -256,7 +256,7 @@ app.get('/code-review/:id', async (c) => { -This ensures we only create Agents for authenticated users, and allows you to validate Agent names conform to your preferred naming scheme before instances are created. +This ensures we only create Agents for authenticated users, and allows you to validate whether Agent names conform to your preferred naming scheme before instances are created. ### Next steps diff --git a/src/content/docs/agents/api-reference/http-sse.mdx b/src/content/docs/agents/api-reference/http-sse.mdx index f1602bd694f7b2..ef5916c26d340a 100644 --- a/src/content/docs/agents/api-reference/http-sse.mdx +++ b/src/content/docs/agents/api-reference/http-sse.mdx @@ -8,7 +8,7 @@ sidebar: import { MetaInfo, Render, Type, TypeScriptExample, WranglerConfig } from "~/components"; -The Agents SDK allows you to handle HTTP requests and has native support for [Server-Sent Events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events) (SSE). This allows you build applications that can push data to clients, avoid buffering +The Agents SDK allows you to handle HTTP requests and has native support for [Server-Sent Events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events) (SSE). This allows you build applications that can push data to clients and avoid buffering. ### Handling HTTP requests @@ -108,7 +108,7 @@ If you're unsure of which is better for your use-case, we recommend WebSockets. ### Next steps -* Review the [API documentation](/agents/api-reference/agents-api/) for the Agents class to learn how to define +* Review the [API documentation](/agents/api-reference/agents-api/) for the Agents class to learn how to define them. * [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the Agents SDK and deploy it to Workers. * Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. * [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the Agents SDK and [Workflows](/workflows). diff --git a/src/content/docs/agents/api-reference/store-and-sync-state.mdx b/src/content/docs/agents/api-reference/store-and-sync-state.mdx index 8ad608bc03fa64..fea3f3949f54de 100644 --- a/src/content/docs/agents/api-reference/store-and-sync-state.mdx +++ b/src/content/docs/agents/api-reference/store-and-sync-state.mdx @@ -284,7 +284,7 @@ This works because each instance of an Agent has its _own_ database, the state s ### Next steps -* Review the [API documentation](/agents/api-reference/agents-api/) for the Agents class to learn how to define +* Review the [API documentation](/agents/api-reference/agents-api/) for the Agents class to learn how to define them. * [Build a chat Agent](/agents/getting-started/build-a-chat-agent/) using the Agents SDK and deploy it to Workers. * Learn more [using WebSockets](/agents/api-reference/websockets/) to build interactive Agents and stream data back from your Agent. * [Orchestrate asynchronous workflows](/agents/api-reference/run-workflows) from your Agent by combining the Agents SDK and [Workflows](/workflows). diff --git a/src/content/docs/agents/index.mdx b/src/content/docs/agents/index.mdx index 41b2a471f2de3e..752e856a1633af 100644 --- a/src/content/docs/agents/index.mdx +++ b/src/content/docs/agents/index.mdx @@ -28,7 +28,7 @@ The Agents SDK enables you to build and deploy AI-powered agents that can autono ### Ship your first Agent -To use the agent starter template and create your first Agent with the Agents SDK: +To use the Agent starter template and create your first Agent with the Agents SDK: ```sh # install it From eed1cf606be35ffd974f7fcc0b01f3ca7db3502a Mon Sep 17 00:00:00 2001 From: Matt Silverlock Date: Tue, 18 Mar 2025 07:10:55 -0400 Subject: [PATCH 65/65] agents -> agents-sdk elsewhere --- .../changelog/agents/2025-02-25-agents-sdk.mdx | 6 +++--- src/content/partials/prompts/base-prompt.txt | 18 +++++++++--------- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/src/content/changelog/agents/2025-02-25-agents-sdk.mdx b/src/content/changelog/agents/2025-02-25-agents-sdk.mdx index 8010b50d692003..26d5a5b4eca3c9 100644 --- a/src/content/changelog/agents/2025-02-25-agents-sdk.mdx +++ b/src/content/changelog/agents/2025-02-25-agents-sdk.mdx @@ -1,13 +1,13 @@ --- -title: Introducing the agents-sdk -description: Build and ship AI Agents on Cloudflare using the agents-sdk +title: Introducing the Agents SDK +description: Build and ship AI Agents on Cloudflare using the Agents SDK products: - agents - workers date: 2025-02-25T14:00:00Z --- -We've released the [agents-sdk](http://blog.cloudflare.com/build-ai-agents-on-cloudflare/), a package and set of tools that help you build and ship AI Agents. +We've released the [Agents SDK](http://blog.cloudflare.com/build-ai-agents-on-cloudflare/), a package and set of tools that help you build and ship AI Agents. You can get up and running with a [chat-based AI Agent](https://github.com/cloudflare/agents-starter) (and deploy it to Workers) that uses the Agents SDK, tool calling, and state syncing with a React-based front-end by running the following command: diff --git a/src/content/partials/prompts/base-prompt.txt b/src/content/partials/prompts/base-prompt.txt index 067eaa68c1e60f..d362183520b836 100644 --- a/src/content/partials/prompts/base-prompt.txt +++ b/src/content/partials/prompts/base-prompt.txt @@ -157,12 +157,12 @@ You are an advanced assistant specialized in generating Cloudflare Workers code. -- Strongly prefer the `agents-sdk` to build AI Agents when asked. +- Strongly prefer the `agents` to build AI Agents when asked. - Refer to the for Agents. - Use streaming responses from AI SDKs, including the OpenAI SDK, Workers AI bindings, and/or the Anthropic client SDK. - Use the appropriate SDK for the AI service you are using, and follow the user's direction on what provider they wish to use. - Prefer the `this.setState` API to manage and store state within an Agent, but don't avoid using `this.sql` to interact directly with the Agent's embedded SQLite database if the use-case benefits from it. -- When building a client interface to an Agent, use the `useAgent` React hook from the `agents-sdk/react` library to connect to the Agent as the preferred approach. +- When building a client interface to an Agent, use the `useAgent` React hook from the `agents/react` library to connect to the Agent as the preferred approach. - When extending the `Agent` class, ensure you provide the `Env` and the optional state as type parameters - for example, `class AIAgent extends Agent { ... }`. - Include valid Durable Object bindings in the `wrangler.jsonc` configuration for an Agent. - You MUST set the value of `migrations[].new_sqlite_classes` to the name of the Agent class in `wrangler.jsonc`. @@ -925,15 +925,15 @@ export default { - + -Build an AI Agent on Cloudflare Workers, using the agents-sdk, and the state management and syncing APIs built into the agents-sdk. +Build an AI Agent on Cloudflare Workers, using the agents, and the state management and syncing APIs built into the agents. // src/index.ts -import { Agent, AgentNamespace, Connection, ConnectionContext, getAgentByName, routeAgentRequest, WSMessage } from 'agents-sdk'; +import { Agent, AgentNamespace, Connection, ConnectionContext, getAgentByName, routeAgentRequest, WSMessage } from 'agents'; import { OpenAI } from "openai"; interface Env { @@ -1141,7 +1141,7 @@ export default { // client.js -import { AgentClient } from "agents-sdk/client"; +import { AgentClient } from "agents/client"; const connection = new AgentClient({ agent: "dialogue-agent", @@ -1162,8 +1162,8 @@ connection.send( // app.tsx -// React client hook for the agents-sdk -import { useAgent } from "agents-sdk/react"; +// React client hook for the agents +import { useAgent } from "agents/react"; import { useState } from "react"; // useAgent client API @@ -1237,7 +1237,7 @@ function StateInterface() { -- Imports the `Agent` class from the `agents-sdk` package +- Imports the `Agent` class from the `agents` package - Extends the `Agent` class and implements the methods exposed by the `Agent`, including `onRequest` for HTTP requests, or `onConnect` and `onMessage` for WebSockets. - Uses the `this.schedule` scheduling API to schedule future tasks. - Uses the `this.setState` API within the Agent for syncing state, and uses type parameters to ensure the state is typed.

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