vtcode-llm 0.175.3

LLM provider abstraction, client implementations, and streaming for VT Code
Documentation

vtcode-llm

LLM provider abstraction layer for VT Code, providing a unified interface for multiple LLM providers including Gemini, OpenAI, Anthropic, Meta AI, DeepSeek, Ollama, and Copilot.

vtcode-llm - LLM Provider Abstraction

Provides a unified interface for multiple LLM providers including Gemini, OpenAI, Anthropic, Meta AI, DeepSeek, and Ollama.

Modules

Module Purpose
capabilities Provider capability detection and feature flags
client Client trait and adapter implementations
config_adapter Configuration adapter for provider settings
copilot GitHub Copilot integration (feature-gated)
error_display User-friendly error message formatting
factory_types Factory pattern types for client creation
http_client HTTP client implementations
model_resolver Model ID resolution and capability matching
open_responses OpenAI Responses API support
optimized_client Optimized client for high-throughput scenarios
provider Provider trait and core types
providers Provider-specific implementations
rig_adapter Rig framework integration
system_prompt System prompt construction
tool_bridge Tool call bridging between LLM and local tools
types Core LLM types (messages, responses, streaming)
utils Shared utilities

Features

  • Multi-provider support: Unified interface for 6+ LLM providers
  • Streaming: Real-time response streaming
  • Tool calling: Structured tool call support
  • Copilot integration: GitHub Copilot OAuth flow (feature-gated)
  • Model resolution: Automatic model capability detection

Dependencies

  • vtcode-commons (HTTP, error types, model families, CompactStr)
  • vtcode-config (provider config, timeouts, auth)
  • vtcode-utility-tool-specs (apply_patch schemas)