name: libllm description: > libllm - LLM API client for OpenAI-compatible endpoints. LlmApi class handles chat completions and embeddings via HTTP. Supports GitHub Models, Azure OpenAI, and standard OpenAI endpoints. Handles streaming responses, token counting, and multi-tool parallel call fixes. Use for LLM completions, embeddings, and AI model integration.

libllm Skill

When to Use

• Making chat completion requests to LLM providers
• Generating text embeddings for vector search
• Integrating with OpenAI-compatible APIs
• Handling streaming LLM responses

Key Concepts

LlmApi: HTTP client for OpenAI-compatible endpoints. Handles authentication, streaming, and response parsing.

DEFAULT_MAX_TOKENS: Standard token limit for completions.

Usage Patterns

Pattern 1: Chat completion

import { LlmApi } from "@copilot-ld/libllm";

const api = new LlmApi(config, logger);
const response = await api.completion([{ role: "user", content: "Hello" }], {
  model: "gpt-4",
  maxTokens: 1000,
});

Pattern 2: Generate embeddings

const embeddings = await api.embed(["text to embed"]);
// Returns array of vectors

Integration

Used by LLM service. Configurable via environment for different providers (OpenAI, Azure, GitHub Models).