LangChain (LangSmith)
LLM application observability, testing, and evaluation platform by LangChain
Tools
| Name | Description |
|---|---|
list_runsList traced runs from LangSmith with optional filters | List traced runs from LangSmith with optional filters |
get_runGet a specific traced run by its ID | Get a specific traced run by its ID |
list_projectsList all projects (sessions) in your LangSmith workspace | List all projects (sessions) in your LangSmith workspace |
list_datasetsList all datasets in your LangSmith workspace | List all datasets in your LangSmith workspace |
custom_api_callMake a custom API call to the LangSmith API | Make a custom API call to the LangSmith API |
Quick Start
import { WeavzClient } from '@weavz-io/sdk'
const weavz = new WeavzClient({ apiKey: 'wvz_...' })
const result = await weavz.actions.execute('langchain', 'list_runs', {
workspaceId: '550e8400-e29b-41d4-a716-446655440000',
integrationAlias: 'langchain',
input: { /* ... */ },
})Related Integrations
Works well with
Frequently Asked Questions
How do I connect LangChain (LangSmith) to my app?
Use Weavz Hosted Connect for API Key authentication. Install the SDK, create a connection through the connect portal or API, then execute tools programmatically.
What tools does LangChain (LangSmith) support?
LangChain (LangSmith) supports 5 tools including List Runs, Get Run, List Projects, List Datasets, Custom API Call.
Can I use LangChain (LangSmith) with AI agents?
Yes. Add LangChain (LangSmith) to an MCP server in Tool Mode or Code Mode. Code Mode provides 3 meta-tools with on-demand API discovery so agents can compose stateful workflows without loading every action schema up front.
How do I connect LangChain (LangSmith) to ChatGPT or Claude?
Open the Weavz connector setup, sign in, choose a workspace, and add LangChain (LangSmith) as an approved app. ChatGPT, Claude, and other remote MCP clients can then call the scoped LangChain (LangSmith) tools exposed by that workspace.
Does LangChain (LangSmith) work with Claude Code, Cursor, Codex, and local agents?
Yes. Remote and local MCP clients can connect to a Weavz MCP endpoint for the workspace. Local coding agents can also use the Weavz CLI to inspect apps, discover actions, run approved LangChain (LangSmith) work, and execute Code Mode workflows from a terminal.
What can I ask an AI agent to do with LangChain (LangSmith)?
LangChain (LangSmith) exposes 5 tools, including List Runs, Get Run, List Projects, List Datasets, Custom API Call. Use Weavz to keep credentials scoped, require approval for sensitive work, and audit what the agent did.
Can LangChain (LangSmith) be used in stateful agent workflows?
Yes. Agents can combine LangChain (LangSmith) tools with Filesystem, State KV, Human Gates, input partials, and other workspace integrations while keeping execution scoped to the selected workspace or end user.
What authentication does LangChain (LangSmith) use?
LangChain (LangSmith) uses API Key. Weavz stores credentials securely and uses them for authorized action execution.
How much does the LangChain (LangSmith) integration cost?
The LangChain (LangSmith) integration is included on all Weavz plans including the free tier with 20,000 actions per month. No credit card required.
Connect LangChain (LangSmith) in minutes
Get 20,000 free action executions every month. No credit card required.