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‎src/docs.json

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},
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"navigation": {
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"dropdowns": [
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{
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"dropdown": "LangGraph",
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"icon": "/images/brand/langgraph-pill.svg",
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"description": "LangGraph is a framework for building and deploying AI agents",
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"tabs": [
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{
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"tab": "Get started",
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"groups": [
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{
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"group": "Get started",
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"pages": [
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"oss/overview",
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"oss/quickstart",
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"oss/run-an-agent",
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"oss/template-applications"
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]
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},
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{
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"group": "General concepts",
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"pages": [
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"oss/workflows-and-agents",
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"oss/prebuilt-vs-low-level",
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{
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"group": "Common agent architectures",
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"pages": [
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"oss/agentic-architectures",
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"oss/agentic-rag",
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"oss/agent-supervisor",
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"oss/sql-agent"
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]
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}
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]
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},
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{
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"group": "Additional resources",
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"pages": [
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"oss/case-studies",
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"oss/faq",
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"oss/langgraph-academy"
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]
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}
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]
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},
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{
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"tab": "Build agents",
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"groups": [
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{
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"group": "Basic configuration",
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"pages": [
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"oss/prebuilts"
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]
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},
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{
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"group": "Low-level configuration",
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"pages": [
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"oss/why-langgraph",
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"oss/1-build-basic-chatbot",
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"oss/2-add-tools",
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"oss/3-add-memory",
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"oss/4-human-in-the-loop",
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"oss/5-customize-state",
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"oss/6-time-travel"
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]
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},
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{
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"group": "Components",
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"pages": [
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"oss/models",
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{
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"group": "Tools",
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"pages": [
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"oss/tools",
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"oss/call-tools"
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]
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},
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{
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"group": "MCP",
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"pages": [
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"oss/mcp",
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"oss/use-mcp"
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]
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},
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{
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"group": "Multi-agent",
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"pages": [
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"oss/multi-agent",
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"oss/multi-agent-prebuilts",
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"oss/multi-agent-custom"
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]
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}
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]
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}
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]
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},
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{
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"tab": "Agent runtime",
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"groups": [
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{
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"group": "Capabilities",
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"pages": [
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"oss/persistence",
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"oss/durable-execution",
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{
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"group": "Streaming",
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"pages": [
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"oss/streaming",
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"oss/use-streaming"
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]
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},
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{
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"group": "Human-in-the-loop",
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"pages": [
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"oss/human-in-the-loop",
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"oss/add-human-in-the-loop"
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]
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},
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{
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"group": "Time travel",
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"pages": [
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"oss/time-travel",
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"oss/use-time-travel"
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]
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},
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{
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"group": "Memory and context",
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"pages": [
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"oss/memory",
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"oss/context",
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"oss/add-memory"
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]
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},
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{
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"group": "Subgraphs",
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"pages": [
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"oss/subgraphs",
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"oss/use-subgraphs"
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]
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}
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]
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},
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{
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"group": "Run and debug",
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"pages": [
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"oss/local-server",
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"oss/ui",
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"oss/trace-agent",
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"oss/enable-tracing",
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"oss/evals"
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]
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},
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{
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"group": "LangGraph APIs",
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"pages": [
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{
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"group": "Graph API",
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"pages": [
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"oss/graph-api",
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"oss/use-graph-api"
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]
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},
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{
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"group": "Functional API",
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"pages": [
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"oss/functional-api",
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"oss/use-functional-api"
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]
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},
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"oss/pregel"
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]
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}
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]
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},
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{
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"tab": "Reference",
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"groups": [
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{
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"group": "LangGraph reference",
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"pages": [
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"oss/reference/overview",
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"oss/reference/graphs",
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"oss/reference/functional-api",
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"oss/reference/pregel",
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"oss/reference/checkpointers",
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"oss/reference/storage",
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"oss/reference/caching",
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"oss/reference/types",
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"oss/reference/runtime",
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"oss/reference/config",
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"oss/reference/errors",
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"oss/reference/constants",
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"oss/reference/channels"
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]
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},
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{
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"group": "Prebuilt reference",
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"pages": [
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"oss/reference/agents",
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"oss/reference/supervisor",
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"oss/reference/swarm",
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"oss/reference/mcp"
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]
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},
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{
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"group": "Error troubleshooting",
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"pages": [
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"oss/common-errors",
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"oss/GRAPH_RECURSION_LIMIT",
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"oss/INVALID_CHAT_HISTORY",
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"oss/INVALID_CONCURRENT_GRAPH_UPDATE",
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"oss/INVALID_GRAPH_NODE_RETURN_VALUE",
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"oss/MULTIPLE_SUBGRAPHS"
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]
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}
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]
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}
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]
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},
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{
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"dropdown": "LangGraph Platform",
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"icon": "/images/brand/langgraph-platform-pill.svg",
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"description": "Platform for building and deploying AI agents",
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"tabs": [
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{
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"tab": "Get Started",
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"tab": "Get started",
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"groups": [
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{
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"group": "Overview",

‎src/oss/1-build-basic-chatbot.mdx

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---
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title: Build a basic chatbot
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title: 1. Build a basic chatbot
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import ChatModelTabs from '/snippets/chat-model-tabs.mdx';

‎src/oss/2-add-tools.mdx

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title: Add tools
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title: 2. Add tools
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import chatTabs from '/snippets/chat-model-tabs.mdx';

‎src/oss/3-add-memory.mdx

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title: Add memory
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title: 3. Add memory
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import chatTabs from '/snippets/chat-model-tabs.mdx';

‎src/oss/4-human-in-the-loop.mdx

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title: Add human-in-the-loop controls
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title: 4. Add human-in-the-loop controls
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import chatTabs from '/snippets/chat-model-tabs.mdx';

‎src/oss/5-customize-state.mdx

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title: Customize state
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title: 5. Customize state
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import chatTabs from '/snippets/chat-model-tabs.mdx';

‎src/oss/6-time-travel.mdx

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title: Time travel
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title: 6. Time travel
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import chatTabs from '/snippets/chat-model-tabs.mdx';

‎src/oss/add-human-in-the-loop.mdx

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</Tabs>
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<Accordion title="Setting static breakpoints">
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```python
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You can use [LangGraph Studio](.././langgraph_studio) to debug your graph. You can set static breakpoints in the UI and then run the graph. You can also use the UI to inspect the graph state at any point in the execution.
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![image](.././img/human_in_the_loop/static-interrupt.png)
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LangGraph Studio is free with [locally deployed applications](.././langgraph-platform/local-server) using `langgraph dev`.
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4. A checkpointer is required to enable breakpoints.
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```python
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You cannot set static breakpoints at runtime for **sub-graphs**.
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</Tab>
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```
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You can use [LangGraph Studio](/langgraph-platform/langgraph_studio) to debug your graph. You can set static breakpoints in the UI and then run the graph. You can also use the UI to inspect the graph state at any point in the execution.
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LangGraph Studio is free with [locally deployed applications](/langgraph-platform/local-server) using `langgraph dev`.
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**Parent Graph**: `node_1` → `node_2` (subgraph call) → `node_3`

‎src/oss/agent-supervisor.mdx

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title: Build a multi-agent supervisor
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sidebarTitle: Multi-agent supervisor
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[**Supervisor**](.././multi_agent#supervisor) is a multi-agent architecture where **specialized** agents are coordinated by a central **supervisor agent**. The supervisor agent controls all communication flow and task delegation, making decisions about which agent to invoke based on the current context and task requirements.
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‎src/oss/agentic-architectures.mdx

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Many LLM applications implement a particular control flow of steps before and / or after LLM calls. As an example, [RAG](https://github.com/langchain-ai/rag-from-scratch) performs retrieval of documents relevant to a user question, and passes those documents to an LLM in order to ground the model's response in the provided document context.

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