# ai.getvda/traced-openai-langchain-agent

> ai.getvda/traced-openai-langchain-agent — ai-getvda-traced-openai-langchain-agent. Use this tool when you need to generate human-like text or engage in conversation, as it solves problems related to language understanding and generation through its core functionality of tracing and analyzing language models. It takes in text-based inputs and produces coherent and context-specific outputs, making it ideal for use cases such as chatbots, content creation, and language translation. This agent is particularly useful in contexts where natural language processing and generation are required, such as customer service or content generation tasks.

Canonical page: https://skillsregistry.net/skills/ai-getvda-traced-openai-langchain-agent  
JSON: https://api.skillsregistry.net/v1/skills/ai-getvda-traced-openai-langchain-agent

## Description

Traced OpenAI LangChain Agent

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.getvda%2Ftraced-openai-langchain-agent)

## Use it

MCP endpoint published by the skill: `https://authenticated-mcp-agent-opentelemetry-api.getvda.ai/mcp`

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": "ai-getvda-traced-openai-langchain-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-getvda-traced-openai-langchain-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-getvda-traced-openai-langchain-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