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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"
    }
  ]
}