anything-llm/server/utils/agents/aibitat/providers/novita.js
Timothy Carambat 80565d79e0
2488 novita ai llm integration (#2582)
* feat: add new model provider: Novita AI

* feat: finished novita AI

* fix: code lint

* remove unneeded logging

* add back log for novita stream not self closing

* Clarify ENV vars for LLM/embedder seperation for future
Patch ENV check for workspace/agent provider

---------

Co-authored-by: Jason <ggbbddjm@gmail.com>
Co-authored-by: shatfield4 <seanhatfield5@gmail.com>
2024-11-04 11:34:29 -08:00

116 lines
3.1 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 Novita AI provider.
*/
class NovitaProvider extends InheritMultiple([Provider, UnTooled]) {
model;
constructor(config = {}) {
const { model = "gryphe/mythomax-l2-13b" } = config;
super();
const client = new OpenAI({
baseURL: "https://api.novita.ai/v3/openai",
apiKey: process.env.NOVITA_LLM_API_KEY,
maxRetries: 3,
defaultHeaders: {
"HTTP-Referer": "https://anythingllm.com",
"X-Novita-Source": "anythingllm",
},
});
this._client = client;
this.model = model;
this.verbose = true;
}
get client() {
return this._client;
}
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("Novita chat: No results!");
if (result.choices.length === 0)
throw new Error("Novita chat: No results length!");
return result.choices[0].message.content;
})
.catch((_) => {
return 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) {
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.completions.create({
model: this.model,
messages: this.cleanMsgs(messages),
});
completion = response.choices[0].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,
};
}
/**
* Get the cost of the completion.
*
* @param _usage The completion to get the cost for.
* @returns The cost of the completion.
* Stubbed since Novita AI has no cost basis.
*/
getCost() {
return 0;
}
}
module.exports = NovitaProvider;