Open Source Langchain Llm Orchestration Api

LLM Observability & Orchestration Agent (Langchain) — a remote MCP + A2A agent on getvda.ai.

This agent provides a powerful open-source solution for orchestrating LangChain Large Language Model (LLM) prompts. It enables you to execute complex system and human chains leveraging Google's Gemini models on Vertex AI, with seamless integration for LangSmith tracing to monitor and debug your LLM applications.

Designed for developers and teams building advanced AI applications, this agent speaks open Application-to-Application (A2A) and Machine-to-Cloud Protocol (MCP) standards. It's metered via x402 micropayments, ensuring discovery remains free while only charging for actual usage.

Capabilities

Connect (streamable-http MCP)

{
  "mcpServers": {
    "llm-observability-orchestration-agent-langchain": {
      "url": "https://langchain-langchain-core-langsmit-d042fc.getvda.ai/mcp",
      "transport": "streamable-http"
    }
  }
}

FAQ

How do I connect to this open source LangChain LLM orchestration API?

You connect to the agent using standard A2A (Application-to-Application) and MCP (Machine-to-Cloud Protocol) protocols. Specific connection details and endpoints are provided upon agent discovery.

What are the pricing details for using this agent?

Usage of this agent is metered via x402 micropayments. Discovery of the agent is free; you only pay for the actual execution of prompts and chains through the service.

Can I use models other than Gemini on Vertex AI?

This specific agent is configured to utilize Gemini models on Vertex AI. Support for other LLMs or platforms is not included in this agent's current capabilities.

Is LangSmith tracing mandatory for every prompt execution?

No, LangSmith tracing is optional. You can choose to enable or disable it based on your observability and debugging requirements for each prompt execution.

Links

Agent home · A2A Agent Card · Smithery · Glama · All agents

langchainlangchain-corelangsmithopenai