Add Cohere provider

.github/workflows/test.yml

@@ -42,6 +42,7 @@ jobs:
         env:
           HF_TOKEN: ${{ secrets.HF_TOKEN }}
           HF_BLACK_FOREST_LABS_KEY: dummy
+          HF_COHERE_KEY: dummy
           HF_FAL_KEY: dummy
           HF_FIREWORKS_KEY: dummy
           HF_HYPERBOLIC_KEY: dummy
@@ -87,6 +88,7 @@ jobs:
         env:
           HF_TOKEN: ${{ secrets.HF_TOKEN }}
           HF_BLACK_FOREST_LABS_KEY: dummy
+          HF_COHERE_KEY: dummy
           HF_FAL_KEY: dummy
           HF_FIREWORKS_KEY: dummy
           HF_HYPERBOLIC_KEY: dummy
@@ -159,6 +161,7 @@ jobs:
           NPM_CONFIG_REGISTRY: http://localhost:4874/
           HF_TOKEN: ${{ secrets.HF_TOKEN }}
           HF_BLACK_FOREST_LABS_KEY: dummy
+          HF_COHERE_KEY: dummy
           HF_FAL_KEY: dummy
           HF_FIREWORKS_KEY: dummy
           HF_HYPERBOLIC_KEY: dummy

README.md

@@ -23,7 +23,7 @@ await uploadFile({
   // Can work with native File in browsers
   file: {
     path: "pytorch_model.bin",
-    content: new Blob(...) 
+    content: new Blob(...)
   }
 });
 
@@ -39,7 +39,7 @@ await inference.chatCompletion({
   ],
   max_tokens: 512,
   temperature: 0.5,
-  provider: "sambanova", // or together, fal-ai, replicate, …
+  provider: "sambanova", // or together, fal-ai, replicate, cohere …
 });
 
 await inference.textToImage({
@@ -146,12 +146,12 @@ for await (const chunk of inference.chatCompletionStream({
   console.log(chunk.choices[0].delta.content);
 }
 
-/// Using a third-party provider: 
+/// Using a third-party provider:
 await inference.chatCompletion({
   model: "meta-llama/Llama-3.1-8B-Instruct",
   messages: [{ role: "user", content: "Hello, nice to meet you!" }],
   max_tokens: 512,
-  provider: "sambanova", // or together, fal-ai, replicate, …
+  provider: "sambanova", // or together, fal-ai, replicate, cohere …
 })
 
 await inference.textToImage({
@@ -211,7 +211,7 @@ await uploadFile({
   // Can work with native File in browsers
   file: {
     path: "pytorch_model.bin",
-    content: new Blob(...) 
+    content: new Blob(...)
   }
 });
 
@@ -244,7 +244,7 @@ console.log(messages); // contains the data
 
 // or you can run the code directly, however you can't check that the code is safe to execute this way, use at your own risk.
 const messages = await agent.run("Draw a picture of a cat wearing a top hat. Then caption the picture and read it out loud.")
-console.log(messages); 
+console.log(messages);
 ```
 
 There are more features of course, check each library's README!

packages/inference/README.md

@@ -56,6 +56,7 @@ Currently, we support the following providers:
 - [Sambanova](https://sambanova.ai)
 - [Together](https://together.xyz)
 - [Blackforestlabs](https://blackforestlabs.ai)
+- [Cohere](https://cohere.com)
 
 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
@@ -80,6 +81,7 @@ 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)
 - [Together supported models](https://huggingface.co/api/partners/together/models)
+- [Cohere supported models](https://huggingface.co/api/partners/cohere/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.

packages/inference/src/lib/makeRequestOptions.ts

@@ -1,5 +1,6 @@
 import { HF_HUB_URL, HF_ROUTER_URL } from "../config";
 import { BLACK_FOREST_LABS_CONFIG } from "../providers/black-forest-labs";
+import { COHERE_CONFIG } from "../providers/cohere";
 import { FAL_AI_CONFIG } from "../providers/fal-ai";
 import { FIREWORKS_AI_CONFIG } from "../providers/fireworks-ai";
 import { HF_INFERENCE_CONFIG } from "../providers/hf-inference";
@@ -27,6 +28,7 @@ let tasks: Record<string, { models: { id: string }[] }> | null = null;
  */
 const providerConfigs: Record<InferenceProvider, ProviderConfig> = {
 	"black-forest-labs": BLACK_FOREST_LABS_CONFIG,
+	cohere: COHERE_CONFIG,
 	"fal-ai": FAL_AI_CONFIG,
 	"fireworks-ai": FIREWORKS_AI_CONFIG,
 	"hf-inference": HF_INFERENCE_CONFIG,

packages/inference/src/providers/cohere.ts

@@ -0,0 +1,42 @@
+/**
+ * See the registered mapping of HF model ID => Cohere model ID here:
+ *
+ * https://huggingface.co/api/partners/cohere/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 Cohere 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 Cohere, please open an issue on the present repo
+ * and we will tag Cohere team members.
+ *
+ * Thanks!
+ */
+import type { ProviderConfig, UrlParams, HeaderParams, BodyParams } from "../types";
+
+const COHERE_API_BASE_URL = "https://api.cohere.com";
+
+
+const makeBody = (params: BodyParams): Record<string, unknown> => {
+	return {
+		...params.args,
+		model: params.model,
+	};
+};
+
+const makeHeaders = (params: HeaderParams): Record<string, string> => {
+	return { Authorization: `Bearer ${params.accessToken}` };
+};
+
+const makeUrl = (params: UrlParams): string => {
+	return `${params.baseUrl}/compatibility/v1/chat/completions`;
+};
+
+export const COHERE_CONFIG: ProviderConfig = {
+	baseUrl: COHERE_API_BASE_URL,
+	makeBody,
+	makeHeaders,
+	makeUrl,
+};

packages/inference/src/providers/consts.ts

@@ -17,6 +17,7 @@ export const HARDCODED_MODEL_ID_MAPPING: Record<InferenceProvider, Record<ModelI
 	 * "Qwen/Qwen2.5-Coder-32B-Instruct": "Qwen2.5-Coder-32B-Instruct",
 	 */
 	"black-forest-labs": {},
+	cohere: {},
 	"fal-ai": {},
 	"fireworks-ai": {},
 	"hf-inference": {},

packages/inference/src/types.ts

@@ -30,6 +30,7 @@ export type InferenceTask = Exclude<PipelineType, "other">;
 
 export const INFERENCE_PROVIDERS = [
 	"black-forest-labs",
+	"cohere",
 	"fal-ai",
 	"fireworks-ai",
 	"hf-inference",

packages/inference/test/HfInference.spec.ts

@@ -1350,4 +1350,51 @@ describe.concurrent("HfInference", () => {
 		},
 		TIMEOUT
 	);
+	describe.concurrent(
+		"Cohere",
+		() => {
+			const client = new HfInference(env.HF_COHERE_KEY);
+
+			HARDCODED_MODEL_ID_MAPPING["cohere"] = {
+				"CohereForAI/c4ai-command-r7b-12-2024": "command-r7b-12-2024",
+				"CohereForAI/aya-expanse-8b": "c4ai-aya-expanse-8b",
+			};
+
+			it("chatCompletion", async () => {
+				const res = await client.chatCompletion({
+					model: "CohereForAI/c4ai-command-r7b-12-2024",
+					provider: "cohere",
+					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: "CohereForAI/c4ai-command-r7b-12-2024",
+					provider: "cohere",
+					messages: [{ role: "user", content: "Say 'this is a test'" }],
+					stream: true,
+				}) as AsyncGenerator<ChatCompletionStreamOutput>;
+
+				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
+	);
 });

packages/inference/test/tapes.json

@@ -7386,5 +7386,58 @@
         "content-type": "image/jpeg"
       }
     }
+  },
+  "cb34d07934bd210fd64da207415c49fc6e2870d3564164a2a5d541f713227fbf": {
+    "url": "https://api.cohere.com/compatibility/v1/chat/completions",
+    "init": {
+      "headers": {
+        "Content-Type": "application/json"
+      },
+      "method": "POST",
+      "body": "{\"messages\":[{\"role\":\"user\",\"content\":\"Say 'this is a test'\"}],\"stream\":true,\"model\":\"command-r7b-12-2024\"}"
+    },
+    "response": {
+      "body": "data: {\"id\":\"3178eb0c-d523-4504-bb82-01b8f02da6da\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"content\":\"\",\"role\":\"assistant\"}}],\"created\":1740652112,\"model\":\"command-r7b-12-2024\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"3178eb0c-d523-4504-bb82-01b8f02da6da\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"content\":\"This\"}}],\"created\":1740652112,\"model\":\"command-r7b-12-2024\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"3178eb0c-d523-4504-bb82-01b8f02da6da\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"content\":\" is\"}}],\"created\":1740652112,\"model\":\"command-r7b-12-2024\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"3178eb0c-d523-4504-bb82-01b8f02da6da\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"content\":\" a\"}}],\"created\":1740652112,\"model\":\"command-r7b-12-2024\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"3178eb0c-d523-4504-bb82-01b8f02da6da\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"content\":\" test\"}}],\"created\":1740652112,\"model\":\"command-r7b-12-2024\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"3178eb0c-d523-4504-bb82-01b8f02da6da\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"content\":\".\"}}],\"created\":1740652112,\"model\":\"command-r7b-12-2024\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"id\":\"3178eb0c-d523-4504-bb82-01b8f02da6da\",\"choices\":[{\"index\":0,\"finish_reason\":\"stop\",\"delta\":{}}],\"created\":1740652112,\"model\":\"command-r7b-12-2024\",\"object\":\"chat.completion.chunk\",\"usage\":{\"prompt_tokens\":7,\"completion_tokens\":5,\"total_tokens\":12}}\n\ndata: [DONE]\n\n",
+      "status": 200,
+      "statusText": "OK",
+      "headers": {
+        "access-control-expose-headers": "X-Debug-Trace-ID",
+        "alt-svc": "h3=\":443\"; ma=2592000,h3-29=\":443\"; ma=2592000",
+        "cache-control": "no-cache, no-store, no-transform, must-revalidate, private, max-age=0",
+        "content-type": "text/event-stream",
+        "expires": "Thu, 01 Jan 1970 00:00:00 UTC",
+        "pragma": "no-cache",
+        "server": "envoy",
+        "transfer-encoding": "chunked",
+        "vary": "Origin"
+      }
+    }
+  },
+  "8c6ffbc794573c463ed5666e3b560e5966cd975c2893c901c18adb696ba54a6a": {
+    "url": "https://api.cohere.com/compatibility/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\":\"command-r7b-12-2024\"}"
+    },
+    "response": {
+      "body": "{\"id\":\"f8bf661b-c600-44e5-8412-df37c9dcd985\",\"choices\":[{\"index\":0,\"finish_reason\":\"stop\",\"message\":{\"role\":\"assistant\",\"content\":\"One plus one is equal to two.\"}}],\"created\":1740652112,\"model\":\"command-r7b-12-2024\",\"object\":\"chat.completion\",\"usage\":{\"prompt_tokens\":11,\"completion_tokens\":8,\"total_tokens\":19}}",
+      "status": 200,
+      "statusText": "OK",
+      "headers": {
+        "access-control-expose-headers": "X-Debug-Trace-ID",
+        "alt-svc": "h3=\":443\"; ma=2592000,h3-29=\":443\"; ma=2592000",
+        "cache-control": "no-cache, no-store, no-transform, must-revalidate, private, max-age=0",
+        "content-type": "application/json",
+        "expires": "Thu, 01 Jan 1970 00:00:00 UTC",
+        "num_chars": "2635",
+        "num_tokens": "19",
+        "pragma": "no-cache",
+        "server": "envoy",
+        "vary": "Origin"
+      }
+    }
   }
 }

packages/tasks/src/inference-providers.ts

@@ -1,6 +1,7 @@
 /// This list is for illustration purposes only.
 /// in the `tasks` sub-package, we do not need actual strong typing of the inference providers.
 const INFERENCE_PROVIDERS = [
+	"cohere",
 	"fal-ai",
 	"fireworks-ai",
 	"hf-inference",