# LangSmith Traced OpenAI Agent

> LangSmith Traced OpenAI Agent — a2a-llm-orchestration-agent. Use this tool when you need to integrate and manage large language models, such as OpenAI, for tasks like text generation and conversation. It solves problems related to model orchestration, observability, and client management, providing a seamless interface for inputs like prompts and outputs like generated text. Ideal for applications requiring advanced language processing and AI-driven workflows.

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

## Description

LangSmith Traced OpenAI Agent: composes langchain-core + langchain-openai + langsmith + openai — orchestration, observability, llm-client via A2A + MCP.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-07

## Source

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

## 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-orchestration-agent"
    }
  }
}
```

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