anything-llm/server/utils/agents/aibitat/providers/ollama.js
Timothy Carambat 15cf921616
Support SQL Agent skill (#1411)
* Support SQL Agent skill

* add MSSQL agent connector

* Add frontend to agent skills
remove FAKE_DB mock
reset skills to pickup child-skill dynamically

* add prompt examples for tools on untooled

* add better logging on SQL agents

* Wipe toolruns on each chat relay so tools can be used within the same session

* update comments
2024-05-16 10:38:21 -07:00

112 lines
2.8 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 agent 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;
}
// The UnTooled class inherited Deduplicator is mostly useful to prevent the agent
// from calling the exact same function over and over in a loop within a single chat exchange
// _but_ we should enable it to call previously used tools in a new chat interaction.
this.deduplicator.reset("runs");
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;