Client library to connect to the LangSmith Observability and Evaluation Platform.
Langsmith observability provider for Mastra - includes tracing and future observability features
LangSmith MCP Server - TypeScript implementation
OpenCode plugin for tracing to LangSmith
icons from untitled ui for langsmith and langgraph frontend
LangSmith-native autonomous agent optimization for Claude Code
CLI tool for fetching traces and threads from LangSmith
Client library to connect to the LangSmith LLM Tracing and Evaluation Platform.
n8n node to use LangSmith prompt templates with variable substitution
LangSmith tracing plugin for opencode — traces sessions, LLM calls, tool calls, reasoning, and context compaction. Trace taxonomy compatible with the official langsmith-claude-code-plugins.
LangSmith tracing plugin for imean-service-engine
Trace LLM requests and responses using LangSmith
Typescript bindings for langchain
LangSmith MCP Server - TypeScript implementation
TypeScript building blocks for evaluating RAG retrieval pipelines and CX agents: chunkers, embedders, retrievers, span-based metrics, synthetic data generation, transcript analysis, and LangSmith integration.
Client library to connect to the LangSmith LLM Tracing and Evaluation Platform.
langsmith integrated in imean-ai-microservice
PrMaat LangChain integration. A BaseCallbackHandler that signs every LangGraph event with the agent's W3C DID before it hits LangSmith — so traces become cryptographically attributable, not just framework-self-attested. Implements PrMaat Verification Spec
LangChain adapter for Claude Agent SDK with LangSmith tracing and LangGraph integration
Security research placeholder - dependency confusion prevention
Core observability package for Mastra - includes tracing and scoring features
Model Lens is an open-source alternative to Langsmith, designed for developers who need to debug Langchain agents and chains locally.
Extracts Langchain prompts and generates TypeScript types.
The **[AI SDK](https://ai-sdk.dev)** LangChain adapter provides seamless integration between [LangChain](https://langchain.com/) and the AI SDK, enabling you to use LangChain agents and graphs with AI SDK UI components.
Rust crate for manual tracing to LangSmith, providing similar ergonomics to the Python and TypeScript SDKs
LangSmith observability for Wesichain
Step-through debugger for your agent — terminal-native session timeline viewer for Claude Code, Codex, Gemini, LangChain, Vercel AI SDK, and OpenTelemetry GenAI traces
Eval suites + regression detection + deterministic event-stream replay.
Structured event taxonomy + tracing/metric exporters for atomr-agents.
Evaluation framework for swink-agent: trajectory tracing, golden path verification, and cost governance
Rust-native LLM agents & chains with resumable ReAct workflows
Observability hooks: exports AgentForge traces to OTLP, LangSmith, and Datadog backends (v2 F-06)
A LangChain-inspired framework for building LLM applications in Rust. Supports OpenAI, Agents, Tools, Memory, Chains, RAG, BM25, Hybrid Retrieval, LangGraph, HyDE, Reranking, MultiQuery, and native Function Calling.
Behavior contracts for AI agents — tested in your PR, enforced at runtime. Core engine: parser, writer, content-addressed store, replay, and nine-axis behavioral differ.
Agent-trace parsers, timeline model, cost/pricing, and corpus aggregation. The pure, TUI-free core of the agx CLI.
LangChain for Rust, the easiest way to write LLM-based programs in Rust
A Ruby client for LangSmith, providing tracing and observability for LLM applications
A simple unofficial Langsmith wrapper
Seamlessly integrate LangSmith tracing and monitoring into your Rails applications
Ruby client for LangSmith - LLM observability and evaluation platform for LangChain