feat: Add CometAPI support and update README with provider details

packages/inference/README.md

@@ -61,6 +61,7 @@ Currently, we support the following providers:
 - [Sambanova](https://sambanova.ai)
 - [Scaleway](https://www.scaleway.com/en/generative-apis/)
 - [Clarifai](http://clarifai.com)
+- [CometAPI](https://www.cometapi.com/?utm_source=huggingface&utm_campaign=integration&utm_medium=integration&utm_content=integration)
 - [Together](https://together.xyz)
 - [Baseten](https://baseten.co)
 - [Blackforestlabs](https://blackforestlabs.ai)
@@ -98,6 +99,7 @@ Only a subset of models are supported when requesting third-party providers. You
 - [Replicate supported models](https://huggingface.co/api/partners/replicate/models)
 - [Sambanova supported models](https://huggingface.co/api/partners/sambanova/models)
 - [Scaleway supported models](https://huggingface.co/api/partners/scaleway/models)
+- [CometAPI supported models](https://huggingface.co/api/partners/cometapi/models)
 - [Together supported models](https://huggingface.co/api/partners/together/models)
 - [Baseten supported models](https://huggingface.co/api/partners/baseten/models)
 - [Clarifai supported models](https://huggingface.co/api/partners/clarifai/models)

packages/inference/src/lib/getProviderHelper.ts

@@ -3,6 +3,7 @@ import * as Clarifai from "../providers/clarifai.js";
 import * as BlackForestLabs from "../providers/black-forest-labs.js";
 import * as Cerebras from "../providers/cerebras.js";
 import * as Cohere from "../providers/cohere.js";
+import * as CometAPI from "../providers/cometapi.js";
 import * as FalAI from "../providers/fal-ai.js";
 import * as FeatherlessAI from "../providers/featherless-ai.js";
 import * as Fireworks from "../providers/fireworks-ai.js";
@@ -72,6 +73,11 @@ export const PROVIDERS: Record<InferenceProvider, Partial<Record<InferenceTask,
 	cohere: {
 		conversational: new Cohere.CohereConversationalTask(),
 	},
+	cometapi: {
+		conversational: new CometAPI.CometAPIConversationalTask(),
+		"text-generation": new CometAPI.CometAPITextGenerationTask(),
+		"feature-extraction": new CometAPI.CometAPIFeatureExtractionTask(),
+	},
 	"fal-ai": {
 		"text-to-image": new FalAI.FalAITextToImageTask(),
 		"text-to-speech": new FalAI.FalAITextToSpeechTask(),

packages/inference/src/providers/cometapi.ts

@@ -0,0 +1,95 @@
+/**
+ * See the registered mapping of HF model ID => CometAPI model ID here:
+ *
+ * https://huggingface.co/api/partners/cometapi/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 CometAPI 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 CometAPI, please open an issue on the present repo
+ * and we will tag CometAPI team members.
+ *
+ * Thanks!
+ */
+import type { FeatureExtractionOutput, TextGenerationOutput } from "@huggingface/tasks";
+import type { BodyParams } from "../types.js";
+import { InferenceClientProviderOutputError } from "../errors.js";
+
+import type { FeatureExtractionTaskHelper } from "./providerHelper.js";
+import { BaseConversationalTask, TaskProviderHelper, BaseTextGenerationTask } from "./providerHelper.js";
+
+const COMETAPI_API_BASE_URL = "https://api.cometapi.com/v1";
+
+interface CometAPIEmbeddingsResponse {
+	data: Array<{
+		embedding: number[];
+	}>;
+}
+
+export class CometAPIConversationalTask extends BaseConversationalTask {
+	constructor() {
+		super("cometapi", COMETAPI_API_BASE_URL);
+	}
+}
+
+export class CometAPITextGenerationTask extends BaseTextGenerationTask {
+	constructor() {
+		super("cometapi", COMETAPI_API_BASE_URL);
+	}
+
+	override preparePayload(params: BodyParams): Record<string, unknown> {
+		return {
+			model: params.model,
+			...params.args,
+			prompt: params.args.inputs,
+		};
+	}
+
+	override async getResponse(response: unknown): Promise<TextGenerationOutput> {
+		if (
+			typeof response === "object" &&
+			response !== null &&
+			"choices" in response &&
+			Array.isArray(response.choices) &&
+			response.choices.length > 0
+		) {
+			const completion: unknown = response.choices[0];
+			if (
+				typeof completion === "object" &&
+				!!completion &&
+				"text" in completion &&
+				completion.text &&
+				typeof completion.text === "string"
+			) {
+				return {
+					generated_text: completion.text,
+				};
+			}
+		}
+		throw new InferenceClientProviderOutputError("Received malformed response from CometAPI text generation API");
+	}
+}
+
+export class CometAPIFeatureExtractionTask extends TaskProviderHelper implements FeatureExtractionTaskHelper {
+	constructor() {
+		super("cometapi", COMETAPI_API_BASE_URL);
+	}
+
+	preparePayload(params: BodyParams): Record<string, unknown> {
+		return {
+			input: params.args.inputs,
+			model: params.model,
+		};
+	}
+
+	makeRoute(): string {
+		return "v1/embeddings";
+	}
+
+	async getResponse(response: CometAPIEmbeddingsResponse): Promise<FeatureExtractionOutput> {
+		return response.data.map((item) => item.embedding);
+	}
+}

packages/inference/src/providers/consts.ts

@@ -23,6 +23,7 @@ export const HARDCODED_MODEL_INFERENCE_MAPPING: Record<
 	cerebras: {},
 	clarifai: {},
 	cohere: {},
+	cometapi: {},
 	"fal-ai": {},
 	"featherless-ai": {},
 	"fireworks-ai": {},

packages/inference/src/types.ts

@@ -50,6 +50,7 @@ export const INFERENCE_PROVIDERS = [
 	"cerebras",
 	"clarifai",
 	"cohere",
+	"cometapi",
 	"fal-ai",
 	"featherless-ai",
 	"fireworks-ai",

packages/inference/test/InferenceClient.spec.ts

@@ -1626,6 +1626,84 @@ describe.skip("InferenceClient", () => {
 		TIMEOUT
 	);
 
+	describe.concurrent(
+		"CometAPI",
+		() => {
+			const client = new InferenceClient(env.COMETAPI_KEY ?? "dummy");
+
+			HARDCODED_MODEL_INFERENCE_MAPPING.cometapi = {
+				"openai/gpt-4o-mini": {
+					provider: "cometapi",
+					hfModelId: "openai/gpt-4o-mini",
+					providerId: "gpt-4o-mini",
+					status: "live",
+					task: "conversational",
+				},
+				"openai/text-embedding-3-small": {
+					provider: "cometapi",
+					hfModelId: "openai/text-embedding-3-small",
+					providerId: "text-embedding-3-small",
+					task: "feature-extraction",
+					status: "live",
+				},
+			};
+
+			it("chatCompletion", async () => {
+				const res = await client.chatCompletion({
+					model: "openai/gpt-4o-mini",
+					provider: "cometapi",
+					messages: [{ role: "user", content: "Complete this sentence with words, one plus one is equal " }],
+					tool_choice: "none",
+				});
+				if (res.choices && res.choices.length > 0) {
+					const completion = res.choices[0].message?.content;
+					expect(completion).toMatch(/(to )?(two|2)/i);
+				}
+			});
+
+			it("chatCompletion stream", async () => {
+				const stream = client.chatCompletionStream({
+					model: "openai/gpt-4o-mini",
+					provider: "cometapi",
+					messages: [{ role: "system", content: "Complete the equation 1 + 1 = , just the answer" }],
+				}) as AsyncGenerator<ChatCompletionStreamOutput>;
+				let out = "";
+				for await (const chunk of stream) {
+					if (chunk.choices && chunk.choices.length > 0) {
+						out += chunk.choices[0].delta.content;
+					}
+				}
+				expect(out).toMatch(/(two|2)/i);
+			});
+
+			it("textGeneration", async () => {
+				const res = await client.textGeneration({
+					model: "openai/gpt-4o-mini",
+					provider: "cometapi",
+					inputs: "Once upon a time,",
+					temperature: 0,
+					max_tokens: 20,
+				});
+
+				expect(res).toHaveProperty("generated_text");
+				expect(typeof res.generated_text).toBe("string");
+				expect(res.generated_text.length).toBeGreaterThan(0);
+			});
+
+			it("featureExtraction", async () => {
+				const res = await client.featureExtraction({
+					model: "openai/text-embedding-3-small",
+					provider: "cometapi",
+					inputs: "That is a happy person",
+				});
+
+				expect(res).toBeInstanceOf(Array);
+				expect(res[0]).toEqual(expect.arrayContaining([expect.any(Number)]));
+			});
+		},
+		TIMEOUT
+	);
+
 	describe.concurrent("3rd party providers", () => {
 		it("chatCompletion - fails with unsupported model", async () => {
 			expect(