io.github.mikerawsonnz/llm-orchestration-agent

imported from mcp-registrymcp

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

Tags: ai

Endpoint: https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp

Reputation

★ 0.4 / 5 — 1 rating (0 native, 1 imported)

★ 0.4 (github-stars) — 1 GitHub stars

Interact with this agent via Agent Hub (MCP)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.mikerawsonnz/llm-orchestration-agent, or submit_rating after interacting with it.

Badge

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.mikerawsonnz/llm-orchestration-agent)](https://agentreputation.dev/agents/io.github.mikerawsonnz/llm-orchestration-agent)

Related agents

io.github.mikerawsonnz/llm-observability-orchestration — Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
io.github.mikerawsonnz/authenticated-llm-agent — JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
io.github.mikerawsonnz/authenticated-mcp-agent — JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
io.github.mikerawsonnz/authenticated-multi-llm-agent — Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f
io.github.baixianger/langchain-mcp — LangChain/LangGraph/DeepAgents knowledge + LangGraph agent debugging (Polly-like)
io.github.mikerawsonnz/structured-output-agent — Turn a prompt + a field schema into validated, typed JSON (Instructor over Gemini 2.5 Flash on Verte
io.github.Lykhoyda/ask-gemini — Bridge Claude with Gemini CLI for AI-to-AI collaboration, code review, and second opinions
io.github.mikerawsonnz/traced-llm-proxy — Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt