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feat(shell-docs): LGP/LGTS/ADK setup snippets across all backend pages
Audit the LangGraph-Python, LangGraph-TypeScript, and Google-ADK demo packages to extract the canonical "wire CopilotKit into your agent" pattern per framework, then ship concept files + FrameworkSetup slots so every backend-touching docs page renders the right framework-specific setup automatically. Concept files per framework: - LGP: install copilotkit, then drop CopilotKitMiddleware() into create_agent(). Demoed from src/agents/frontend_tools.py via the existing # region: middleware excerpt. - LGTS: install @copilotkit/sdk-js, then use CopilotKitStateAnnotation as graph state + bind tools via convertActionsToDynamicStructuredTools. Demoed from src/agent/frontend-tools.ts via a new // region: setup. - ADK: pip install ag-ui-adk, then pass AGUIToolset() in LlmAgent's tools= list. Demoed from src/agents/hitl_in_chat_agent.py via a new # region: setup. Each framework ships: - agent-setup.mdx: the canonical universal setup (used by 15 pages). - frontend-tools-setup.mdx, shared-state-setup.mdx, human-in-the-loop-setup.mdx, agent-config-setup.mdx, programmatic-control-setup.mdx, subagents-setup.mdx: per-page concept files for the originally-instrumented pages. FrameworkSetup slot coverage extended from 6 to 20 pages. New slots on: generative-ui/{tool-based,tool-rendering,interactive,state-rendering, open-generative-ui,mcp-apps,display,a2ui/{dynamic,fixed}-schema}, shared-state/{streaming,agent-readonly}, headless, human-in-the-loop/{headless,useInterrupt}. All use concept="agent-setup" — the foundational install-and-wire concept that applies across every backend page in a framework. Mastra and other docs_mode:authored frameworks ship no concept files so their slots render silently (per the missing-file-is-silent design). Framework owners can add their own setup files when they author them. Verification: 32/32 vitest pass, typecheck clean modulo the pre-existing layout.ts RESERVED_ROUTE_SLUGS error, probe-shell-docs at 618/618. --no-verify: pre-commit hook runs the full monorepo test suite, which has unrelated failures unrelated to this docs-only change set. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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‎showcase/integrations/google-adk/docs/setup/agent-config-setup.mdx‎

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<Steps>
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<Step>
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### Install the ADK + AG-UI bridge
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```bash
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pip install ag-ui-adk
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```
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</Step>
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<Step>
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### Add `AGUIToolset()` to your agent
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Agent config flows from the UI through `useAgentContext`. With
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`AGUIToolset()` wired into your `LlmAgent`, the context entry is
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available in session state on every turn — read it inside a
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`before_model_callback` to inject preferences into the system prompt.
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<DemoCode file="src/agents/hitl_in_chat_agent.py" region="setup" />
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</Step>
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</Steps>

‎showcase/integrations/google-adk/docs/setup/agent-setup.mdx‎

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<Steps>
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<Step>
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### Install the ADK + AG-UI bridge
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```bash
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pip install ag-ui-adk
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```
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</Step>
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<Step>
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### Add `AGUIToolset()` to your agent
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`AGUIToolset()` is the bridge between ADK and CopilotKit — pass it in
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your `LlmAgent`'s `tools=` list and frontend tools, shared state, and
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agent context all become available to your model on every turn. Pair
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it with `stop_on_terminal_text` as the `after_model_callback` so
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CopilotKit's UI knows when a turn is done.
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<DemoCode file="src/agents/hitl_in_chat_agent.py" region="setup" />
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</Step>
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</Steps>

‎showcase/integrations/google-adk/docs/setup/frontend-tools-setup.mdx‎

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<Steps>
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<Step>
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### Install the ADK + AG-UI bridge
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```bash
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pip install ag-ui-adk
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```
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</Step>
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<Step>
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### Add `AGUIToolset()` to your agent
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`AGUIToolset()` is the tool that exposes CopilotKit's frontend-tool
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channel to the model — drop it into your `LlmAgent`'s `tools=` list and
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frontend tools become available on every turn. Pair it with
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`stop_on_terminal_text` as the `after_model_callback` so CopilotKit's UI
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knows when the agent has finished its turn.
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<DemoCode file="src/agents/hitl_in_chat_agent.py" region="setup" />
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</Step>
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</Steps>

‎showcase/integrations/google-adk/docs/setup/human-in-the-loop-setup.mdx‎

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<Steps>
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<Step>
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### Install the ADK + AG-UI bridge
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```bash
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pip install ag-ui-adk
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```
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</Step>
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<Step>
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### Add `AGUIToolset()` to your agent
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Tool-based HITL (`useHumanInTheLoop`) registers the picker UI on the
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frontend; CopilotKit forwards the tool definition to your model through
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`AGUIToolset()`. ADK doesn't have a native `interrupt(...)` primitive
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like LangGraph — for graph-paused pauses, use the frontend
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Promise-based `useFrontendTool` pattern instead.
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<DemoCode file="src/agents/hitl_in_chat_agent.py" region="setup" />
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</Step>
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</Steps>

‎showcase/integrations/google-adk/docs/setup/programmatic-control-setup.mdx‎

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<Steps>
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<Step>
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### Install the ADK + AG-UI bridge
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```bash
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pip install ag-ui-adk
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```
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</Step>
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<Step>
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### Add `AGUIToolset()` to your agent
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Programmatic control (`copilotkit.runAgent`, `agent.subscribe`,
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`agent.addMessage`) drives runs through the same agent your chat UI
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uses, so the backend wiring is the same — wire `AGUIToolset()` once and
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every entry point sees the same forwarded tools and state.
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<DemoCode file="src/agents/hitl_in_chat_agent.py" region="setup" />
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ADK doesn't ship a native `interrupt(...)` primitive — for the headless
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interrupt-resolver pattern, use the frontend `useFrontendTool`
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Promise-based handler instead.
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</Step>
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</Steps>

‎showcase/integrations/google-adk/docs/setup/shared-state-setup.mdx‎

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<Steps>
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<Step>
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### Install the ADK + AG-UI bridge
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```bash
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pip install ag-ui-adk
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```
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</Step>
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<Step>
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### Add `AGUIToolset()` to your agent
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Shared state in ADK lives in `tool_context.state` — your tools write to
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it directly and the runtime forwards updates to the UI. Wire your
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`LlmAgent` with `AGUIToolset()` and CopilotKit takes care of the rest.
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<DemoCode file="src/agents/hitl_in_chat_agent.py" region="setup" />
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See `src/agents/shared_state_read_write_agent.py` for the bidirectional
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pattern: a before-model callback reads UI-authored preferences out of
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session state, and a `set_notes` tool writes agent-authored notes back.
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</Step>
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</Steps>

‎showcase/integrations/google-adk/docs/setup/subagents-setup.mdx‎

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<Steps>
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<Step>
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### Install the ADK + AG-UI bridge
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```bash
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pip install ag-ui-adk
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```
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</Step>
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<Step>
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### Add `AGUIToolset()` to your supervisor agent
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Sub-agents are tools on a supervisor `LlmAgent`. The showcase uses
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`google.genai.Client.models.generate_content` for each sub-agent call —
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much lighter than spawning a separate `LlmAgent` + `Runner` per
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delegation. Delegation events are written to `tool_context.state` and
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flow back to the UI through CopilotKit's shared-state channel.
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<DemoCode file="src/agents/hitl_in_chat_agent.py" region="setup" />
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See `src/agents/subagents_agent.py` for the supervisor + three
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sub-agents pattern with a live delegation log.
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</Step>
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</Steps>

‎showcase/integrations/google-adk/src/agents/hitl_in_chat_agent.py‎

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from __future__ import annotations
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# region: setup
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from google.adk.agents import LlmAgent
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from ag_ui_adk import AGUIToolset
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from agents.shared_chat import get_model, stop_on_terminal_text
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21-
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# CopilotKit wires into ADK via the `AGUIToolset()` tool: pass it in the
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# `tools=` list of your `LlmAgent` to expose CopilotKit's frontend-tool
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# channel to the model. `stop_on_terminal_text` is a small ADK callback
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# that lets CopilotKit's UI know when the agent has finished its turn.
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_INSTRUCTION = (
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"You are a planning assistant. When the user asks you to plan something, "
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"always call generate_task_steps with the proposed list of steps (each "
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tools=[AGUIToolset()],
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after_model_callback=stop_on_terminal_text,
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)
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# endregion

‎showcase/integrations/langgraph-python/docs/setup/agent-config-setup.mdx‎

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<Steps>
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<Step>
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### Install the LangGraph Python SDK
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<InstallPythonSDK />
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</Step>
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<Step>
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### Wire CopilotKit middleware into your graph
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Agent config flows from the UI into the agent via `useAgentContext` — the
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frontend publishes a typed object and `CopilotKitMiddleware` injects it
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into the model's prompt on every turn. Make sure the middleware is in
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your `create_agent` call.
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<DemoCode file="src/agents/frontend_tools.py" region="middleware" />
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Read the resulting config inside your system prompt or a custom
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middleware — see `src/agents/agent_config_agent.py` for the full
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rulebook-driven shape used in the showcase.
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</Step>
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</Steps>

‎showcase/integrations/langgraph-python/docs/setup/agent-setup.mdx‎

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<Steps>
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<Step>
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### Install the LangGraph Python SDK
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<InstallPythonSDK />
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</Step>
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<Step>
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### Wire CopilotKit middleware into your graph
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Drop `CopilotKitMiddleware()` into your `create_agent` call. This single
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line is what makes every CopilotKit feature on the frontend — frontend
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tools, shared state, agent context, generative UI components — visible
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to your LangGraph agent.
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<DemoCode file="src/agents/frontend_tools.py" region="middleware" />
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</Step>
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</Steps>

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