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mu-provider

v0.5.0

Published

LLM provider abstraction for local runners and OpenAI-compatible APIs

Readme

mu-provider

LLM provider abstraction for OpenAI-compatible APIs. Streams chat completions with support for reasoning, tool calls, and image attachments.

Install

npm install mu-provider

Usage

import { streamChat, listModels } from "mu-provider";
import type { ProviderConfig, ChatMessage } from "mu-provider";

const config: ProviderConfig = {
  baseUrl: "http://localhost:11434/v1",
  maxTokens: 4096,
  temperature: 0.7,
  streamTimeoutMs: 30000,
};

const messages: ChatMessage[] = [
  { role: "user", content: "Hello!" },
];

for await (const chunk of streamChat(messages, config, "qwen2.5")) {
  if (chunk.type === "content") {
    process.stdout.write(chunk.text);
  } else if (chunk.type === "reasoning") {
    // model's chain-of-thought
  } else if (chunk.type === "tool_call") {
    // handle tool call
  }
}

API

streamChat(messages, config, model, options?)

Returns an AsyncGenerator<StreamChunk> that yields content, reasoning, and tool call chunks.

listModels(baseUrl)

Fetches available models from the API endpoint.

Types

  • ProviderConfig — connection and generation settings
  • ChatMessage — message with role, content, images, tool calls
  • StreamChunkcontent | reasoning | tool_call
  • ToolDefinition — OpenAI-compatible function tool schema
  • ToolCall — tool invocation from the model
  • ImageAttachment — base64-encoded image with MIME type

License

MIT