LLM Observability & Orchestration Agent (Langchain) — a remote MCP + A2A agent on getvda.ai.
This agent provides a powerful, remote solution for orchestrating LangChain LLM interactions. It executes prompts through a LangChain (system + human) chain utilizing Gemini on Vertex AI, with optional LangSmith tracing for comprehensive observability. This is ideal for developers and teams needing a robust, managed LLM execution environment without direct infrastructure management.
Designed to speak open Application-to-Application (A2A) and Machine-to-Cloud Protocol (MCP), this agent seamlessly integrates into your existing workflows. Discovery is free, and usage is metered via x402 micropayments, ensuring cost-effective and scalable LLM orchestration.
{
"mcpServers": {
"llm-observability-orchestration-agent-langchain": {
"url": "https://langchain-langchain-core-langsmit-d042fc.getvda.ai/mcp",
"transport": "streamable-http"
}
}
}
You connect to the agent via its standard Application-to-Application (A2A) and Machine-to-Cloud Protocol (MCP) endpoints. Documentation will be provided for specific API calls and data formats.
This agent specifically leverages Gemini models running on Google Cloud's Vertex AI for all LLM interactions.
Usage of this agent is metered via x402 micropayments. Discovery of the agent is free, and you only pay for the actual execution of LangChain prompts and associated resources.
The agent executes a defined LangChain (system + human) chain. While it leverages the LangChain framework, direct injection of arbitrary custom components into the agent's runtime is not supported for security and stability reasons. You define your chain within the supported structure.
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