What is LangSmith and why do I need it?

LangSmith is the 'Datadog for LLM applications'. Without observability, AI agents in production are black boxes — you can't see what they're doing, why they fail, or how much they cost. LangSmith traces every LLM call, chain execution, and tool use, giving you complete visibility into inputs, outputs, latency, token usage, and error rates.

Does LangSmith work only with LangChain?

No! While LangSmith is built by the LangChain team and has native LangChain/LangGraph integration, it works with any LLM application. You can trace OpenAI, Anthropic, or any LLM provider directly using the REST API. It also integrates with CrewAI, AutoGen, and other frameworks.

How much does LangSmith cost?

LangSmith offers a generous free tier with 5,000 traces per month — no credit card required. The Developer plan is $39/month with 50,000 traces. Enterprise plans include SSO, RBAC, dedicated support, and unlimited traces with volume discounts.

LangSmith MCP Server for AutoGen 3 tools — connect in under 2 minutes

Name: LangSmith
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 3 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add LangSmith as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="langsmith_agent",
            tools=tools,
            system_message=(
                "You help users with LangSmith. "
                "3 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About LangSmith MCP Server

Connect your AI agent to LangSmith — the observability platform from the LangChain team that gives you complete visibility into your LLM applications.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use LangSmith tools. Connect 3 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

List Projects — View all tracing projects with aggregate metrics: total runs, median latency, feedback scores, and creation dates
List Runs — Browse recent traces in any project. See run names, types (LLM, chain, tool), status (success/error), token usage, and timing
Run Details — Deep-dive into any specific run to see its full execution trace, inputs, outputs, and associated feedback

The LangSmith MCP Server exposes 3 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect LangSmith to AutoGen via MCP

Follow these steps to integrate the LangSmith MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 3 tools from LangSmith automatically

Why Use AutoGen with the LangSmith MCP Server

AutoGen provides unique advantages when paired with LangSmith through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use LangSmith tools to solve complex tasks

Role-based architecture lets you assign LangSmith tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive LangSmith tool calls

Code execution sandbox: AutoGen agents can write and run code that processes LangSmith tool responses in an isolated environment

LangSmith + AutoGen Use Cases

Practical scenarios where AutoGen combined with the LangSmith MCP Server delivers measurable value.

Collaborative analysis: one agent queries LangSmith while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from LangSmith, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using LangSmith data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process LangSmith responses in a sandboxed execution environment

LangSmith MCP Tools for AutoGen (3)

These 3 tools become available when you connect LangSmith to AutoGen via MCP:

langsmith_get_run

Useful for debugging specific LLM calls or agent actions. Get detailed information about a specific run/trace by its ID

langsmith_list_projects

Each project groups related traces together and shows aggregate metrics like total runs, median latency, and feedback counts. List all tracing projects in your LangSmith account with run counts, latency stats, and feedback metrics

langsmith_list_runs

Each run represents a single LLM call, chain execution, or agent action. Shows status (success/error), latency, and token consumption. List recent traces/runs in a specific LangSmith project. Shows run names, types, status, token usage, and timing

Example Prompts for LangSmith in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with LangSmith immediately.

"List all my LangSmith projects and show their metrics."

"Show me the last 5 runs in my production-agent project."

"Get details on the failed run a0b1c2."

Troubleshooting LangSmith MCP Server with AutoGen

Common issues when connecting LangSmith to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

LangSmith + AutoGen FAQ

Common questions about integrating LangSmith MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call LangSmith tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.