Files
2026-07-13 12:20:32 +08:00

170 lines
4.5 KiB
JavaScript

const OpenAI = require("openai");
const Provider = require("./ai-provider.js");
const InheritMultiple = require("./helpers/classes.js");
const UnTooled = require("./helpers/untooled.js");
const { tooledStream, tooledComplete } = require("./helpers/tooled.js");
const { RetryError } = require("../error.js");
const { CohereLLM } = require("../../../AiProviders/cohere/index.js");
/**
* The agent provider for the Cohere AI provider.
* Uses Cohere's OpenAI-compatible API (https://docs.cohere.com/docs/compatibility-api)
* which supports native tool calling and vision.
*/
class CohereProvider extends InheritMultiple([Provider, UnTooled]) {
model;
constructor(config = {}) {
super();
const { model = process.env.COHERE_MODEL_PREF || "command-r-08-2024" } =
config;
const client = new OpenAI({
baseURL: "https://api.cohere.ai/compatibility/v1",
apiKey: process.env.COHERE_API_KEY ?? null,
});
this.providerTag = "cohere";
this._client = client;
this.model = model;
this.verbose = true;
this._supportsToolCalling = null;
}
get client() {
return this._client;
}
get supportsAgentStreaming() {
return true;
}
/**
* Whether the loaded model supports native OpenAI-compatible tool calling.
* Checks the Cohere models endpoint to see if the model supports tools.
* @returns {Promise<boolean>}
*/
async supportsNativeToolCalling() {
if (this.optsOutOfNativeToolCallingViaEnv(this.providerTag)) return false;
if (this._supportsToolCalling !== null) return this._supportsToolCalling;
const cohere = new CohereLLM(null, this.model);
const capabilities = await cohere.getModelCapabilities();
this._supportsToolCalling = capabilities.tools === true;
return this._supportsToolCalling;
}
async #handleFunctionCallChat({ messages = [] }) {
return await this.client.chat.completions
.create({
model: this.model,
temperature: 0,
messages,
})
.then((result) => {
if (!result.hasOwnProperty("choices"))
throw new Error("Cohere chat: No results!");
if (result.choices.length === 0)
throw new Error("Cohere chat: No results length!");
return result.choices[0].message.content;
})
.catch((_) => {
return null;
});
}
async #handleFunctionCallStream({ messages = [] }) {
return await this.client.chat.completions.create({
model: this.model,
stream: true,
messages,
});
}
async stream(messages, functions = [], eventHandler = null) {
const useNative =
functions.length > 0 && (await this.supportsNativeToolCalling());
if (!useNative) {
return await UnTooled.prototype.stream.call(
this,
messages,
functions,
this.#handleFunctionCallStream.bind(this),
eventHandler
);
}
this.providerLog(
"Provider.stream (tooled) - will process this chat completion."
);
try {
return await tooledStream(
this.client,
this.model,
messages,
functions,
eventHandler,
{ provider: this }
);
} catch (error) {
console.error(error.message, error);
if (error instanceof OpenAI.AuthenticationError) throw error;
if (
error instanceof OpenAI.RateLimitError ||
error instanceof OpenAI.InternalServerError ||
error instanceof OpenAI.APIError
) {
throw new RetryError(error.message);
}
throw error;
}
}
async complete(messages, functions = []) {
const useNative =
functions.length > 0 && (await this.supportsNativeToolCalling());
if (!useNative) {
return await UnTooled.prototype.complete.call(
this,
messages,
functions,
this.#handleFunctionCallChat.bind(this)
);
}
try {
const result = await tooledComplete(
this.client,
this.model,
messages,
functions,
this.getCost.bind(this),
{ provider: this }
);
if (result.retryWithError) {
return this.complete([...messages, result.retryWithError], functions);
}
return result;
} catch (error) {
if (error instanceof OpenAI.AuthenticationError) throw error;
if (
error instanceof OpenAI.RateLimitError ||
error instanceof OpenAI.InternalServerError ||
error instanceof OpenAI.APIError
) {
throw new RetryError(error.message);
}
throw error;
}
}
getCost(_usage) {
return 0;
}
}
module.exports = CohereProvider;