# LLM Observability & Orchestration Agent

> LLM Observability & Orchestration Agent — a2a-llm-observability-orchestration. Use this tool when you need to monitor and optimize LangChain pipelines, evaluate prompt effectiveness, and ensure chain quality. It runs prompts through a human-in-the-loop system on Vertex AI, with optional tracing capabilities via LangSmith. Ideal for applications requiring observable and reliable language model workflows.

Canonical page: https://skillsregistry.net/skills/a2a-llm-observability-orchestration  
JSON: https://api.skillsregistry.net/v1/skills/a2a-llm-observability-orchestration

## Description

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.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/a2a/llm-observability-orchestration)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "a2a-llm-observability-orchestration"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/a2a-llm-observability-orchestration` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/a2a-llm-observability-orchestration/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt