Files
anything-llm/server/utils/agents/aibitat/providers/lemonade.js
Timothy Carambat b3944eb50e Revert "Add automatic chat mode with native tool calling support (#5140)"
- Need to support documents in agents
- Need to support images in agent mode

This reverts commit 4c69960dca.
2026-03-04 15:29:41 -08:00

212 lines
5.8 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 {
LemonadeLLM,
parseLemonadeServerEndpoint,
} = require("../../../AiProviders/lemonade/index.js");
/**
* The agent provider for the Lemonade.
*/
class LemonadeProvider extends InheritMultiple([Provider, UnTooled]) {
model;
/**
*
* @param {{model?: string}} config
*/
constructor(config = {}) {
super();
const model = config?.model || process.env.LEMONADE_LLM_MODEL_PREF || null;
const client = new OpenAI({
baseURL: parseLemonadeServerEndpoint(
process.env.LEMONADE_LLM_BASE_PATH,
"openai"
),
apiKey: null,
maxRetries: 3,
});
this._client = client;
this.model = model;
this.verbose = true;
this.preloaded = false;
this._supportsToolCalling = null;
}
get client() {
return this._client;
}
get supportsAgentStreaming() {
return true;
}
async preloadModel() {
if (this.preloaded) return;
await LemonadeLLM.loadModel(this.model);
this.preloaded = true;
}
/**
* Whether this provider supports native OpenAI-compatible tool calling.
* - Since Lemonade models vary in tool calling support, we check the ENV.
* - If the ENV is not set and the capabilities are not set, we default to false.
* - To enable tool calling for a model, set the ENV flag for `PROVIDER_SUPPORTS_NATIVE_TOOL_CALLING` to include `lemonade`.
* - or update the label in the Lemonade server to include `tool-calling`.
* @returns {boolean|Promise<boolean>}
*/
async supportsNativeToolCalling() {
if (this._supportsToolCalling !== null) return this._supportsToolCalling;
const lemonade = new LemonadeLLM(null, this.model);
// Labels can be missing for tool calling models, so we also check if ENV flag is set
const supportsToolCallingFlag =
process.env.PROVIDER_SUPPORTS_NATIVE_TOOL_CALLING?.includes("lemonade");
if (supportsToolCallingFlag) {
this.providerLog(
"Lemonade supports native tool calling is ENABLED via ENV."
);
this._supportsToolCalling = true;
return this._supportsToolCalling;
}
const capabilities = await lemonade.getModelCapabilities();
this._supportsToolCalling = capabilities.tools === true;
return this._supportsToolCalling;
}
async #handleFunctionCallChat({ messages = [] }) {
return await this.client.chat.completions
.create({
model: this.model,
messages,
})
.then((result) => {
if (!result.hasOwnProperty("choices"))
throw new Error("Lemonade chat: No results!");
if (result.choices.length === 0)
throw new Error("Lemonade 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,
});
}
/**
* Stream a chat completion with tool calling support.
* Uses native tool calling when supported, otherwise falls back to UnTooled.
*/
async stream(messages, functions = [], eventHandler = null) {
await this.preloadModel();
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(
"LemonadeProvider.stream (tooled) - will process this chat completion."
);
try {
return await tooledStream(
this.client,
this.model,
messages,
functions,
eventHandler
);
} 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;
}
}
/**
* Create a non-streaming completion with tool calling support.
* Uses native tool calling when supported, otherwise falls back to UnTooled.
*/
async complete(messages, functions = []) {
await this.preloadModel();
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)
);
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;
}
}
/**
* Get the cost of the completion.
*
* @param _usage The completion to get the cost for.
* @returns The cost of the completion.
* Stubbed since Lemonade has no cost basis.
*/
getCost(_usage) {
return 0;
}
}
module.exports = LemonadeProvider;