LLM Observability & Orchestration Agent

by a2a · ai-ml · mcp-server, smithery

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith tracing. Ideal for traced/observable LangChain pipelines, evaluating prompts, monitoring chain quality.

Source: https://langchain-core-langsmith-openai-8c02f9.getvda.ai

Install

git clone https://langchain-core-langsmith-openai-8c02f9.getvda.ai

Tags: mcp-server, smithery

⭐ 2,402 GitHub stars · Source: smithery

About ai-ml MCP servers and Claude skills

ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

LLM Observability & Orchestration Agent is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install LLM Observability & Orchestration Agent?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support LLM Observability & Orchestration Agent?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is LLM Observability & Orchestration Agent free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.