diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 088945768c..e1e0636651 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -45,6 +45,7 @@ jobs: HF_REPLICATE_KEY: dummy HF_SAMBANOVA_KEY: dummy HF_TOGETHER_KEY: dummy + HF_FIREWORKS_KEY: dummy browser: runs-on: ubuntu-latest @@ -85,6 +86,7 @@ jobs: HF_REPLICATE_KEY: dummy HF_SAMBANOVA_KEY: dummy HF_TOGETHER_KEY: dummy + HF_FIREWORKS_KEY: dummy e2e: runs-on: ubuntu-latest @@ -152,3 +154,4 @@ jobs: HF_REPLICATE_KEY: dummy HF_SAMBANOVA_KEY: dummy HF_TOGETHER_KEY: dummy + HF_FIREWORKS_KEY: dummy diff --git a/packages/inference/README.md b/packages/inference/README.md index b43db15982..d1d79416f6 100644 --- a/packages/inference/README.md +++ b/packages/inference/README.md @@ -46,7 +46,12 @@ Your access token should be kept private. If you need to protect it in front-end You can send inference requests to third-party providers with the inference client. -Currently, we support the following providers: [Fal.ai](https://fal.ai), [Replicate](https://replicate.com), [Together](https://together.xyz) and [Sambanova](https://sambanova.ai). +Currently, we support the following providers: +- [Fal.ai](https://fal.ai) +- [Fireworks AI](https://fireworks.ai) +- [Replicate](https://replicate.com) +- [Sambanova](https://sambanova.ai) +- [Together](https://together.xyz) To send requests to a third-party provider, you have to pass the `provider` parameter to the inference function. Make sure your request is authenticated with an access token. ```ts @@ -64,10 +69,11 @@ When authenticated with a Hugging Face access token, the request is routed throu When authenticated with a third-party provider key, the request is made directly against that provider's inference API. Only a subset of models are supported when requesting third-party providers. You can check the list of supported models per pipeline tasks here: -- [Fal.ai supported models](./src/providers/fal-ai.ts) -- [Replicate supported models](./src/providers/replicate.ts) -- [Sambanova supported models](./src/providers/sambanova.ts) -- [Together supported models](./src/providers/together.ts) +- [Fal.ai supported models](https://huggingface.co/api/partners/fal-ai/models) +- [Fireworks AI supported models](https://huggingface.co/api/partners/fireworks-ai/models) +- [Replicate supported models](https://huggingface.co/api/partners/replicate/models) +- [Sambanova supported models](https://huggingface.co/api/partners/sambanova/models) +- [Together supported models](https://huggingface.co/api/partners/together/models) - [HF Inference API (serverless)](https://huggingface.co/models?inference=warm&sort=trending) ❗**Important note:** To be compatible, the third-party API must adhere to the "standard" shape API we expect on HF model pages for each pipeline task type. diff --git a/packages/inference/src/lib/getProviderModelId.ts b/packages/inference/src/lib/getProviderModelId.ts index b7e06db917..8a721ef5cd 100644 --- a/packages/inference/src/lib/getProviderModelId.ts +++ b/packages/inference/src/lib/getProviderModelId.ts @@ -30,8 +30,8 @@ export async function getProviderModelId( options.taskHint === "text-generation" && options.chatCompletion ? "conversational" : options.taskHint; // A dict called HARDCODED_MODEL_ID_MAPPING takes precedence in all cases (useful for dev purposes) - if (HARDCODED_MODEL_ID_MAPPING[params.model]) { - return HARDCODED_MODEL_ID_MAPPING[params.model]; + if (HARDCODED_MODEL_ID_MAPPING[params.provider]?.[params.model]) { + return HARDCODED_MODEL_ID_MAPPING[params.provider][params.model]; } let inferenceProviderMapping: InferenceProviderMapping | null; diff --git a/packages/inference/src/lib/makeRequestOptions.ts b/packages/inference/src/lib/makeRequestOptions.ts index 28f7abfc41..b68dfa09fd 100644 --- a/packages/inference/src/lib/makeRequestOptions.ts +++ b/packages/inference/src/lib/makeRequestOptions.ts @@ -3,6 +3,7 @@ import { FAL_AI_API_BASE_URL } from "../providers/fal-ai"; import { REPLICATE_API_BASE_URL } from "../providers/replicate"; import { SAMBANOVA_API_BASE_URL } from "../providers/sambanova"; import { TOGETHER_API_BASE_URL } from "../providers/together"; +import { FIREWORKS_AI_API_BASE_URL } from "../providers/fireworks-ai"; import type { InferenceProvider } from "../types"; import type { InferenceTask, Options, RequestArgs } from "../types"; import { isUrl } from "./isUrl"; @@ -208,6 +209,15 @@ function makeUrl(params: { } return baseUrl; } + case "fireworks-ai": { + const baseUrl = shouldProxy + ? HF_HUB_INFERENCE_PROXY_TEMPLATE.replace("{{PROVIDER}}", params.provider) + : FIREWORKS_AI_API_BASE_URL; + if (params.taskHint === "text-generation" && params.chatCompletion) { + return `${baseUrl}/v1/chat/completions`; + } + return baseUrl; + } default: { const baseUrl = HF_HUB_INFERENCE_PROXY_TEMPLATE.replaceAll("{{PROVIDER}}", "hf-inference"); const url = params.forceTask diff --git a/packages/inference/src/providers/consts.ts b/packages/inference/src/providers/consts.ts index 71fa9cd92a..6f0112366a 100644 --- a/packages/inference/src/providers/consts.ts +++ b/packages/inference/src/providers/consts.ts @@ -1,15 +1,25 @@ -import type { ModelId } from "../types"; +import type { InferenceProvider } from "../types"; +import { type ModelId } from "../types"; type ProviderId = string; - /** * If you want to try to run inference for a new model locally before it's registered on huggingface.co * for a given Inference Provider, * you can add it to the following dictionary, for dev purposes. + * + * We also inject into this dictionary from tests. */ -export const HARDCODED_MODEL_ID_MAPPING: Record = { +export const HARDCODED_MODEL_ID_MAPPING: Record> = { /** * "HF model ID" => "Model ID on Inference Provider's side" + * + * Example: + * "Qwen/Qwen2.5-Coder-32B-Instruct": "Qwen2.5-Coder-32B-Instruct", */ - // "Qwen/Qwen2.5-Coder-32B-Instruct": "Qwen2.5-Coder-32B-Instruct", + "fal-ai": {}, + "fireworks-ai": {}, + "hf-inference": {}, + replicate: {}, + sambanova: {}, + together: {}, }; diff --git a/packages/inference/src/providers/fireworks-ai.ts b/packages/inference/src/providers/fireworks-ai.ts new file mode 100644 index 0000000000..25f85dbd67 --- /dev/null +++ b/packages/inference/src/providers/fireworks-ai.ts @@ -0,0 +1,18 @@ +export const FIREWORKS_AI_API_BASE_URL = "https://api.fireworks.ai/inference"; + +/** + * See the registered mapping of HF model ID => Fireworks model ID here: + * + * https://huggingface.co/api/partners/fireworks/models + * + * This is a publicly available mapping. + * + * If you want to try to run inference for a new model locally before it's registered on huggingface.co, + * you can add it to the dictionary "HARDCODED_MODEL_ID_MAPPING" in consts.ts, for dev purposes. + * + * - If you work at Fireworks and want to update this mapping, please use the model mapping API we provide on huggingface.co + * - If you're a community member and want to add a new supported HF model to Fireworks, please open an issue on the present repo + * and we will tag Fireworks team members. + * + * Thanks! + */ diff --git a/packages/inference/src/types.ts b/packages/inference/src/types.ts index 613786028f..52401c9ae2 100644 --- a/packages/inference/src/types.ts +++ b/packages/inference/src/types.ts @@ -44,7 +44,14 @@ export interface Options { export type InferenceTask = Exclude; -export const INFERENCE_PROVIDERS = ["fal-ai", "replicate", "sambanova", "together", "hf-inference"] as const; +export const INFERENCE_PROVIDERS = [ + "fal-ai", + "fireworks-ai", + "hf-inference", + "replicate", + "sambanova", + "together", +] as const; export type InferenceProvider = (typeof INFERENCE_PROVIDERS)[number]; export interface BaseArgs { diff --git a/packages/inference/test/HfInference.spec.ts b/packages/inference/test/HfInference.spec.ts index 5e7378ec35..d23128143b 100644 --- a/packages/inference/test/HfInference.spec.ts +++ b/packages/inference/test/HfInference.spec.ts @@ -6,6 +6,7 @@ import { chatCompletion, HfInference } from "../src"; import { textToVideo } from "../src/tasks/cv/textToVideo"; import { readTestFile } from "./test-files"; import "./vcr"; +import { HARDCODED_MODEL_ID_MAPPING } from "../src/providers/consts"; const TIMEOUT = 60000 * 3; const env = import.meta.env; @@ -1077,4 +1078,51 @@ describe.concurrent("HfInference", () => { ); }); }); + + describe.concurrent( + "Fireworks", + () => { + const client = new HfInference(env.HF_FIREWORKS_KEY); + + HARDCODED_MODEL_ID_MAPPING["fireworks-ai"] = { + "deepseek-ai/DeepSeek-R1": "accounts/fireworks/models/deepseek-r1", + }; + + it("chatCompletion", async () => { + const res = await client.chatCompletion({ + model: "deepseek-ai/DeepSeek-R1", + provider: "fireworks-ai", + messages: [{ role: "user", content: "Complete this sentence with words, one plus one is equal " }], + }); + if (res.choices && res.choices.length > 0) { + const completion = res.choices[0].message?.content; + expect(completion).toContain("two"); + } + }); + + it("chatCompletion stream", async () => { + const stream = client.chatCompletionStream({ + model: "deepseek-ai/DeepSeek-R1", + provider: "fireworks-ai", + messages: [{ role: "user", content: "Say this is a test" }], + stream: true, + }) as AsyncGenerator; + + let fullResponse = ""; + for await (const chunk of stream) { + if (chunk.choices && chunk.choices.length > 0) { + const content = chunk.choices[0].delta?.content; + if (content) { + fullResponse += content; + } + } + } + + // Verify we got a meaningful response + expect(fullResponse).toBeTruthy(); + expect(fullResponse.length).toBeGreaterThan(0); + }); + }, + TIMEOUT + ); }); diff --git a/packages/inference/test/tapes.json b/packages/inference/test/tapes.json index df5be478d5..169059e291 100644 --- a/packages/inference/test/tapes.json +++ b/packages/inference/test/tapes.json @@ -6855,5 +6855,70 @@ "vary": "origin, access-control-request-method, access-control-request-headers, Origin, Access-Control-Request-Method, Access-Control-Request-Headers, origin, access-control-request-method, access-control-request-headers" } } + }, + "f9b039c4a7d19e9b004df60342a2ef14d2e462fd30d6ac0359e69e8a9ee8d5c9": { + "url": "https://api.fireworks.ai/inference/v1/chat/completions", + "init": { + "headers": { + "Content-Type": "application/json" + }, + "method": "POST", + "body": "{\"messages\":[{\"role\":\"user\",\"content\":\"Complete this sentence with words, one plus one is equal \"}],\"model\":\"accounts/fireworks/models/deepseek-r1\"}" + }, + "response": { + "body": "{\"id\":\"824a80c3-472d-453d-8746-2d9ff3622b2c\",\"object\":\"chat.completion\",\"created\":1738851193,\"model\":\"accounts/fireworks/models/deepseek-r1\",\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"\\nOkay, let's see. The user wants me to complete the sentence \\\"one plus one is equal\\\" with words. So I need to figure out the correct way to phrase the answer in words rather than numbers.\\n\\nFirst, the mathematical expression \\\"1 + 1\\\" equals 2. But they want the answer spelled out in words. The sentence structure is \\\"one plus one is equal [to...]\\\". I remember that in English, when you write out numbers in words, especially in formal contexts, you should maintain consistency. So the numbers in the equation and the result should both be words.\\n\\nSo \\\"one plus one\\\" is the operation. Then the verb \\\"is equal\\\" requires the preposition \\\"to\\\". So it should follow with \\\"to two\\\". That makes the complete sentence \\\"One plus one is equal to two.\\\" But I need to make sure if there's another way people might phrase this. Maybe \\\"equals\\\" instead of \\\"is equal to\\\"? For example, \\\"one plus one equals two.\\\" But the user specified using \\\"is equal\\\", so keeping \\\"is equal to\\\" is necessary here.\\n\\nAdditionally, in formal writing, it's standard to write out numbers as words when the sentence starts with them, but in this case, since it's a mathematical expression and the answer requires words, using words for all parts makes sense. \\n\\nAnother thing to check is whether there are any alternative phrasings, but I think \\\"one plus one is equal to two\\\" is the most straightforward and correct completion. Just need to confirm that there's no common mistake here, like using the numeral 2 instead of the word. The user did specify to use words, so \\\"two\\\" is correct.\\n\\nAlso, ensuring subject-verb agreement. The subject is \\\"one plus one\\\", which is considered singular, so \\\"is\\\" is correct. So putting it all together: \\\"One plus one is equal to two.\\\"\\n\\n\\nOne plus one is equal to **two**. \\n*(Completed as \\\"One plus one is equal to two.\\\")*\"},\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":15,\"total_tokens\":432,\"completion_tokens\":417}}", + "status": 200, + "statusText": "OK", + "headers": { + "access-control-allow-origin": "*", + "alt-svc": "h3=\":443\"; ma=86400", + "cf-cache-status": "DYNAMIC", + "cf-ray": "90dbbd523d352a68-CDG", + "connection": "keep-alive", + "content-encoding": "gzip", + "content-type": "application/json", + "fireworks-middleware-version": "v2", + "fireworks-prompt-tokens": "15", + "fireworks-sampling-options": "{\"max_tokens\": 2048, \"temperature\": 1.0, \"top_k\": 0, \"top_p\": 1.0, \"min_p\": 0.0, \"typical_p\": 1.0, \"frequency_penalty\": 0.0, \"presence_penalty\": 0.0, \"repetition_penalty\": 1.0, \"mirostat_target\": null, \"mirostat_lr\": 0.1}", + "fireworks-server-processing-time": "28.023", + "fireworks-speculation-generated-tokens": "188", + "server": "cloudflare", + "server-timing": "total;dur=28807.0;desc=\"Total Response Time\"", + "transfer-encoding": "chunked", + "vary": "Accept-Encoding" + } + } + }, + "ae9e1189990778e9636d43188360500025b048537f5b41562185e0b3c61173b0": { + "url": "https://api.fireworks.ai/inference/v1/chat/completions", + "init": { + "headers": { + "Content-Type": "application/json" + }, + "method": "POST", + "body": "{\"messages\":[{\"role\":\"user\",\"content\":\"Say this is a test\"}],\"stream\":true,\"model\":\"accounts/fireworks/models/deepseek-r1\"}" + }, + "response": { + "body": "data: {\"id\":\"fff5db6d-cfe7-4ab0-b064-93dabdf20085\",\"object\":\"chat.completion.chunk\",\"created\":1738851194,\"model\":\"accounts/fireworks/models/deepseek-r1\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\"},\"finish_reason\":null}],\"usage\":null}\n\ndata: 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