From 499b8f26de1ca9dc788742d4fd8b805e80854496 Mon Sep 17 00:00:00 2001 From: Julien Chaumond Date: Thu, 6 Feb 2025 13:38:55 +0100 Subject: [PATCH 1/6] Switch path to `router.huggingface.co` --- README.md | 2 +- packages/inference/README.md | 4 ++-- packages/inference/src/config.ts | 1 + packages/inference/src/lib/makeRequestOptions.ts | 4 ++-- packages/inference/test/vcr.ts | 4 ++-- 5 files changed, 8 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 9a2edde2cc..6db724999a 100644 --- a/README.md +++ b/README.md @@ -183,7 +183,7 @@ const { generated_text } = await gpt2.textGeneration({inputs: 'The answer to the // Chat Completion const llamaEndpoint = inference.endpoint( - "https://api-inference.huggingface.co/models/meta-llama/Llama-3.1-8B-Instruct" + "https://router.huggingface.co/together/models/meta-llama/Llama-3.1-8B-Instruct" ); const out = await llamaEndpoint.chatCompletion({ model: "meta-llama/Llama-3.1-8B-Instruct", diff --git a/packages/inference/README.md b/packages/inference/README.md index cdf13512b9..5b16832bcc 100644 --- a/packages/inference/README.md +++ b/packages/inference/README.md @@ -117,7 +117,7 @@ for await (const output of hf.textGenerationStream({ ### Text Generation (Chat Completion API Compatible) -Using the `chatCompletion` method, you can generate text with models compatible with the OpenAI Chat Completion API. All models served by [TGI](https://api-inference.huggingface.co/framework/text-generation-inference) on Hugging Face support Messages API. +Using the `chatCompletion` method, you can generate text with models compatible with the OpenAI Chat Completion API. All models served by [TGI](https://huggingface.co/docs/text-generation-inference/) on Hugging Face support Messages API. [Demo](https://huggingface.co/spaces/huggingfacejs/streaming-chat-completion) @@ -611,7 +611,7 @@ const { generated_text } = await gpt2.textGeneration({inputs: 'The answer to the // Chat Completion Example const ep = hf.endpoint( - "https://api-inference.huggingface.co/models/meta-llama/Llama-3.1-8B-Instruct" + "https://router.huggingface.co/together/models/meta-llama/Llama-3.1-8B-Instruct" ); const stream = ep.chatCompletionStream({ model: "tgi", diff --git a/packages/inference/src/config.ts b/packages/inference/src/config.ts index e0d40cff3e..2dd8b97bd6 100644 --- a/packages/inference/src/config.ts +++ b/packages/inference/src/config.ts @@ -1 +1,2 @@ export const HF_HUB_URL = "https://huggingface.co"; +export const HF_ROUTER_URL = "https://router.huggingface.co"; diff --git a/packages/inference/src/lib/makeRequestOptions.ts b/packages/inference/src/lib/makeRequestOptions.ts index 6e76d962cd..28f7abfc41 100644 --- a/packages/inference/src/lib/makeRequestOptions.ts +++ b/packages/inference/src/lib/makeRequestOptions.ts @@ -1,4 +1,4 @@ -import { HF_HUB_URL } from "../config"; +import { HF_HUB_URL, HF_ROUTER_URL } from "../config"; 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"; @@ -9,7 +9,7 @@ import { isUrl } from "./isUrl"; import { version as packageVersion, name as packageName } from "../../package.json"; import { getProviderModelId } from "./getProviderModelId"; -const HF_HUB_INFERENCE_PROXY_TEMPLATE = `${HF_HUB_URL}/api/inference-proxy/{{PROVIDER}}`; +const HF_HUB_INFERENCE_PROXY_TEMPLATE = `${HF_ROUTER_URL}/{{PROVIDER}}`; /** * Lazy-loaded from huggingface.co/api/tasks when needed diff --git a/packages/inference/test/vcr.ts b/packages/inference/test/vcr.ts index 419c304f31..2559f523b1 100644 --- a/packages/inference/test/vcr.ts +++ b/packages/inference/test/vcr.ts @@ -1,5 +1,5 @@ import { omit } from "../src/utils/omit"; -import { HF_HUB_URL } from "../src/config"; +import { HF_HUB_URL, HF_ROUTER_URL } from "../src/config"; import { isBackend } from "../src/utils/isBackend"; import { isFrontend } from "../src/utils/isFrontend"; @@ -117,7 +117,7 @@ async function vcr( const { default: tapes } = await import(TAPES_FILE); - const cacheCandidate = !url.startsWith(HF_HUB_URL) || url.startsWith(`${HF_HUB_URL}/api/inference-proxy/`); + const cacheCandidate = !url.startsWith(HF_HUB_URL) || url.startsWith(HF_ROUTER_URL); if (VCR_MODE === MODE.PLAYBACK && cacheCandidate) { if (!tapes[hash]) { From 38a307f268ea9cb95654a670a10ef70e7603fb14 Mon Sep 17 00:00:00 2001 From: Julien Chaumond Date: Thu, 6 Feb 2025 13:56:03 +0100 Subject: [PATCH 2/6] start hacking the tapes. --- packages/inference/test/tapes.json | 13664 +++++++++++++-------------- 1 file changed, 6832 insertions(+), 6832 deletions(-) diff --git a/packages/inference/test/tapes.json b/packages/inference/test/tapes.json index 47cf713e3c..d8758b4e2f 100644 --- a/packages/inference/test/tapes.json +++ b/packages/inference/test/tapes.json @@ -1,6833 +1,6833 @@ { - "8636fe9560a75039480e6e675f0439b52a13f3c274d9ea5e019b8070cc8a5608": { - "url": "https://api-inference.huggingface.co/models/distilbert-base-uncased-finetuned-sst-2-english", - "init": { - "headers": { - "Content-Type": "application/json" - }, - "method": "POST", - "body": "{\"inputs\":\"I like you. I love you.\",\"options\":{}}" - }, - "response": { - "body": "[[{\"label\":\"POSITIVE\",\"score\":0.9998763799667358},{\"label\":\"NEGATIVE\",\"score\":0.00012365408474579453}]]", - "status": 200, - "statusText": "OK", - "headers": { - "access-control-allow-credentials": "true", - "connection": "keep-alive", - "content-type": "application/json", - "vary": "Origin, Access-Control-Request-Method, Access-Control-Request-Headers" - } - } - }, - "b0164e2ea675bb23b819db63fa15801017eb17722d5ed6662addf51b572cfd3f": { - "url": "https://api-inference.huggingface.co/models/this-model-does-not-exist-123", - "init": { - "headers": { - "Content-Type": "application/json" - }, - "method": "POST", - "body": "{\"inputs\":\"[MASK] world!\",\"options\":{}}" - }, - "response": { - "body": "{\"error\":\"Model this-model-does-not-exist-123 does not exist\"}", - "status": 404, - "statusText": "Not Found", - "headers": { - "access-control-allow-credentials": "true", - "connection": "keep-alive", - "content-type": "application/json", - "vary": "Origin, Access-Control-Request-Method, Access-Control-Request-Headers" - } - } - }, - "9cb0ae5365e9a8c840dcdca26396206d709f11fe4f74c75a082f0967fc3228f7": { - "url": "https://api-inference.huggingface.co/models/google/tapas-base-finetuned-wtq", - "init": { - "headers": { - "Content-Type": "application/json" - }, - "method": "POST", - "body": "{\"inputs\":{\"query\":\"How many stars does the transformers repository have?\",\"table\":{\"Repository\":[\"Transformers\",\"Datasets\",\"Tokenizers\"],\"Stars\":[\"36542\",\"4512\",\"3934\"],\"Contributors\":[\"651\",\"77\",\"34\"],\"Programming language\":[\"Python\",\"Python\",\"Rust, Python and NodeJS\"]}},\"options\":{}}" - }, - "response": { - "body": "{\"answer\":\"AVERAGE > 36542\",\"coordinates\":[[0,1]],\"cells\":[\"36542\"],\"aggregator\":\"AVERAGE\"}", - "status": 200, - "statusText": "OK", - "headers": { - "access-control-allow-credentials": "true", - "connection": "keep-alive", - "content-type": "application/json", - "vary": "Origin, Access-Control-Request-Method, Access-Control-Request-Headers" - } - } - }, - "de7a4c1e38920018ac0b8ae3991860b77424b75a3e6b1b1b478d5856238992aa": { - "url": "https://api-inference.huggingface.co/models/gpt2", - "init": { - "headers": { - "Content-Type": "application/json" - }, - "method": "POST", - "body": "{\"inputs\":\"The answer to the universe is\",\"options\":{}}" - }, - "response": { - "body": "[{\"generated_text\":\"The answer to the universe is to get to the surface, and we need to find the first two steps of the right sequence. \\\"In the first step there is only one particle. 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+ it("throws error if model does not exist", () => { expect( hf.fillMask({ - model: "this-model-does-not-exist-123", + model: "this-model/does-not-exist-123", inputs: "[MASK] world!", }) - ).rejects.toThrowError("Not Found: Model not found"); + ).rejects.toThrowError("Model this-model/does-not-exist-123 does not exist"); }); it("fillMask", async () => { @@ -647,7 +648,7 @@ describe.concurrent("HfInference", () => { }); it("endpoint - makes request to specified endpoint", async () => { - const ep = hf.endpoint("https://api-inference.huggingface.co/models/openai-community/gpt2"); + const ep = hf.endpoint("https://router.huggingface.co/hf-inference/models/openai-community/gpt2"); const { generated_text } = await ep.textGeneration({ inputs: "one plus two equals", }); @@ -685,7 +686,7 @@ describe.concurrent("HfInference", () => { expect(out).toContain("2"); }); - it("chatCompletionStream modelId Fail - OpenAI Specs", async () => { + it.skip("chatCompletionStream modelId Fail - OpenAI Specs", async () => { expect( hf .chatCompletionStream({ @@ -702,7 +703,7 @@ describe.concurrent("HfInference", () => { }); it("chatCompletion - OpenAI Specs", async () => { - const ep = hf.endpoint("https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2"); + const ep = hf.endpoint("https://router.huggingface.co/hf-inference/models/mistralai/Mistral-7B-Instruct-v0.2"); const res = await ep.chatCompletion({ model: "tgi", messages: [{ role: "user", content: "Complete the this sentence with words one plus one is equal " }], @@ -716,7 +717,7 @@ describe.concurrent("HfInference", () => { } }); it("chatCompletionStream - OpenAI Specs", async () => { - const ep = hf.endpoint("https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2"); + const ep = hf.endpoint("https://router.huggingface.co/hf-inference/models/mistralai/Mistral-7B-Instruct-v0.2"); const stream = ep.chatCompletionStream({ model: "tgi", messages: [{ role: "user", content: "Complete the equation 1+1= ,just the answer" }],