Bring Llm Observability
to Pydantic AI
Create your Vinkius account to connect LangSmith to Pydantic AI and start using all 3 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your LangSmith API key (5,000 free traces/month)
- Your agent can now monitor and debug LLM applications
Who is this for?
- AI Engineers — monitor LLM calls, chains, and agent actions in production
- ML Teams — track experiment performance, compare model outputs, and identify regressions
- DevOps — set up alerts for error rates, latency spikes, and cost anomalies in AI workloads
Built-in capabilities (3)
Useful for debugging specific LLM calls or agent actions. Get detailed information about a specific run/trace by its ID
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
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
Why Pydantic AI?
Pydantic AI validates every LangSmith tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your LangSmith integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your LangSmith connection logic from agent behavior for testable, maintainable code
LangSmith in Pydantic AI
Why run LangSmith with Vinkius?
The LangSmith connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 3 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect LangSmith using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
LangSmith and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect LangSmith to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
LangSmith for Pydantic AI
Every request between Pydantic AI and LangSmith is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your LangSmith MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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