mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-11-11 09:10:13 +01:00
331d3741c9
* add LMStudio agent support (generic) support "work" with non-tool callable LLMs, highly dependent on system specs * add comments * enable few-shot prompting per function for OSS models * Add Agent support for Ollama models * improve json parsing for ollama text responses
108 lines
2.5 KiB
JavaScript
108 lines
2.5 KiB
JavaScript
const Provider = require("./ai-provider.js");
|
|
const InheritMultiple = require("./helpers/classes.js");
|
|
const UnTooled = require("./helpers/untooled.js");
|
|
const { Ollama } = require("ollama");
|
|
|
|
/**
|
|
* The provider for the Ollama provider.
|
|
*/
|
|
class OllamaProvider extends InheritMultiple([Provider, UnTooled]) {
|
|
model;
|
|
|
|
constructor(config = {}) {
|
|
const {
|
|
// options = {},
|
|
model = null,
|
|
} = config;
|
|
|
|
super();
|
|
this._client = new Ollama({ host: process.env.OLLAMA_BASE_PATH });
|
|
this.model = model;
|
|
this.verbose = true;
|
|
}
|
|
|
|
get client() {
|
|
return this._client;
|
|
}
|
|
|
|
async #handleFunctionCallChat({ messages = [] }) {
|
|
const response = await this.client.chat({
|
|
model: this.model,
|
|
messages,
|
|
options: {
|
|
temperature: 0,
|
|
},
|
|
});
|
|
return response?.message?.content || null;
|
|
}
|
|
|
|
/**
|
|
* Create a completion based on the received messages.
|
|
*
|
|
* @param messages A list of messages to send to the API.
|
|
* @param functions
|
|
* @returns The completion.
|
|
*/
|
|
async complete(messages, functions = null) {
|
|
try {
|
|
let completion;
|
|
if (functions.length > 0) {
|
|
const { toolCall, text } = await this.functionCall(
|
|
messages,
|
|
functions,
|
|
this.#handleFunctionCallChat.bind(this)
|
|
);
|
|
|
|
if (toolCall !== null) {
|
|
this.providerLog(`Valid tool call found - running ${toolCall.name}.`);
|
|
this.deduplicator.trackRun(toolCall.name, toolCall.arguments);
|
|
return {
|
|
result: null,
|
|
functionCall: {
|
|
name: toolCall.name,
|
|
arguments: toolCall.arguments,
|
|
},
|
|
cost: 0,
|
|
};
|
|
}
|
|
completion = { content: text };
|
|
}
|
|
|
|
if (!completion?.content) {
|
|
this.providerLog(
|
|
"Will assume chat completion without tool call inputs."
|
|
);
|
|
const response = await this.client.chat({
|
|
model: this.model,
|
|
messages: this.cleanMsgs(messages),
|
|
options: {
|
|
use_mlock: true,
|
|
temperature: 0.5,
|
|
},
|
|
});
|
|
completion = response.message;
|
|
}
|
|
|
|
return {
|
|
result: completion.content,
|
|
cost: 0,
|
|
};
|
|
} catch (error) {
|
|
throw error;
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Get the cost of the completion.
|
|
*
|
|
* @param _usage The completion to get the cost for.
|
|
* @returns The cost of the completion.
|
|
* Stubbed since LMStudio has no cost basis.
|
|
*/
|
|
getCost(_usage) {
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
module.exports = OllamaProvider;
|