ac0b1d401d
* checkpoint * test MCP and flows * add native tool call detection back to LMStudio * add native tool call loops for Ollama * Add ablity detection to DMR (regex parse) * bedrock and generic openai with ENV flag * deepseek native tool calling * localAI native function * groq support * linting, add litellm and OR native tool calling via flag
104 lines
2.6 KiB
JavaScript
104 lines
2.6 KiB
JavaScript
const OpenAI = require("openai");
|
|
const Provider = require("./ai-provider.js");
|
|
const InheritMultiple = require("./helpers/classes.js");
|
|
const UnTooled = require("./helpers/untooled.js");
|
|
|
|
/**
|
|
* The agent provider for the Mistral provider.
|
|
* Mistral limits what models can call tools and even when using those
|
|
* the model names change and dont match docs. When you do have the right model
|
|
* it still fails and is not truly OpenAI compatible so its easier to just wrap
|
|
* this with Untooled which 100% works since its just text & works far more reliably
|
|
*/
|
|
class MistralProvider extends InheritMultiple([Provider, UnTooled]) {
|
|
model;
|
|
|
|
constructor(config = {}) {
|
|
super();
|
|
const { model = "mistral-medium" } = config;
|
|
const client = new OpenAI({
|
|
baseURL: "https://api.mistral.ai/v1",
|
|
apiKey: process.env.MISTRAL_API_KEY,
|
|
maxRetries: 3,
|
|
});
|
|
|
|
this._client = client;
|
|
this.model = model;
|
|
this.verbose = true;
|
|
}
|
|
|
|
get client() {
|
|
return this._client;
|
|
}
|
|
|
|
get supportsAgentStreaming() {
|
|
return true;
|
|
}
|
|
|
|
/**
|
|
* Whether this provider supports native OpenAI-compatible tool calling.
|
|
* Override in subclass and return true to use native tool calling instead of UnTooled.
|
|
* @returns {boolean|Promise<boolean>}
|
|
*/
|
|
supportsNativeToolCalling() {
|
|
return false;
|
|
}
|
|
|
|
async #handleFunctionCallChat({ messages = [] }) {
|
|
return await this.client.chat.completions
|
|
.create({
|
|
model: this.model,
|
|
messages,
|
|
})
|
|
.then((result) => {
|
|
if (!result.hasOwnProperty("choices"))
|
|
throw new Error("LMStudio chat: No results!");
|
|
if (result.choices.length === 0)
|
|
throw new Error("LMStudio 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) {
|
|
return await UnTooled.prototype.stream.call(
|
|
this,
|
|
messages,
|
|
functions,
|
|
this.#handleFunctionCallStream.bind(this),
|
|
eventHandler
|
|
);
|
|
}
|
|
|
|
async complete(messages, functions = []) {
|
|
return await UnTooled.prototype.complete.call(
|
|
this,
|
|
messages,
|
|
functions,
|
|
this.#handleFunctionCallChat.bind(this)
|
|
);
|
|
}
|
|
|
|
/**
|
|
* Get the cost of the completion.
|
|
*
|
|
* @param _usage The completion to get the cost for.
|
|
* @returns The cost of the completion.
|
|
*/
|
|
getCost(_usage) {
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
module.exports = MistralProvider;
|