Open Source Langchain Llm Orchestration Api

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

Our LLM Observability & Orchestration Agent provides a remote API for running prompts through a LangChain (system + human) chain, leveraging Gemini on Vertex AI. It's designed for developers needing robust LLM integration and optional LangSmith tracing for performance analysis.

This agent speaks open A2A (Application-to-Application) and MCP (Machine-to-Cloud Protocol), ensuring seamless integration into your existing systems. It's metered via x402 micropayments, offering discovery free access and granular cost control.

Capabilities

Connect (streamable-http MCP)

{
  "mcpServers": {
    "llm-observability-orchestration": {
      "url": "https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp",
      "transport": "streamable-http"
    }
  }
}

FAQ

How does this agent handle pricing and usage?

The agent is metered via x402 micropayments. You pay only for the resources consumed per API call, with discovery access being free. This provides granular control over your LLM orchestration costs.

What's the primary way to connect to this agent?

You connect to this agent via its remote API, which adheres to open A2A and MCP standards. Specific connection details and API endpoints will be provided upon deployment.

Can I use my existing LangChain code with this agent?

Yes, the agent is designed to execute LangChain (system + human) chains. You'll provide your prompt and chain configuration via the API, and the agent will run it against Gemini on Vertex AI.

Is LangSmith tracing mandatory for every prompt execution?

No, LangSmith tracing is optional. You can enable or disable it per API call, allowing you to control observability and resource usage based on your needs.

Links

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

langchain-corelangsmithopenai