Card snapshot
langchain-5e9cc07a.main-kill-isr.mintlify.me
·
2026-07-13 06:30:40 UTC
·
528eeda3b68b19bdaefa6b681461d37af2eff6e43e2e95e87a64126d12f43b9e
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
{
"name": "Docs by LangChain",
"description": "Documentation for LangSmith, Fleet, and our open source packages.",
"url": "https://docs.langchain.com/",
"version": "1.0.0",
"protocolVersion": "0.3",
"preferredTransport": "HTTP+JSON",
"supportedInterfaces": [
{
"url": "https://docs.langchain.com/",
"protocolBinding": "HTTP+JSON",
"protocolVersion": "0.3"
}
],
"provider": {
"url": "https://docs.langchain.com/",
"organization": "Docs by LangChain"
},
"documentationUrl": "https://docs.langchain.com/",
"capabilities": {
"streaming": false,
"pushNotifications": false
},
"defaultInputModes": [
"text/plain"
],
"defaultOutputModes": [
"text/plain"
],
"skills": [
{
"id": "langchain",
"name": "Langchain",
"description": "Use when building AI agents that call tools, integrating with LLMs, creating multi-agent systems, or deploying stateful workflows. LangChain is the framework for agents; use it for agent loops, tool integration, model abstraction, and middleware. Use LangGraph when you need low-level orchestration, persistence, human-in-the-loop, or streaming. Use Deep Agents for pre-built capabilities like planning, subagents, and filesystem tools.",
"tags": [],
"url": "https://docs.langchain.com/.well-known/agent-skills/langchain/skill.md"
}
]
}