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Wires the step, agent, subsystem, and flow points onto the dispatcher: `pre_step`/`post_step`, `tool_selection`, `pre_delegation`, `retry_attempt`, `memory_write`/`memory_read`, `knowledge_retrieval`, `pre_code_execution`, `mcp_connect`, `flow_transition`, and `router_decision`, extending the typed- context module with their contexts. Each seam passes a typed context whose `payload` a hook may observe, mutate, or replace. Adds the conformance suite for these points and a new `interception-hooks` doc page with the full point/payload catalog and the interceptor contract.
163 lines
5.9 KiB
Plaintext
163 lines
5.9 KiB
Plaintext
---
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title: Interception Hooks
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description: The full catalog of framework-native interception points and the payload-in/payload-out contract every hook follows
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mode: "wide"
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---
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Interception hooks give you a single, uniform way to observe and modify CrewAI's
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runtime at well-defined points — from the moment an execution starts, through
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every model call, tool call, memory read, and flow transition, down to the final
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output. All points share one contract and one registration API.
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The four LLM/tool hooks documented in [LLM Hooks](/learn/llm-hooks) and
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[Tool Hooks](/learn/tool-hooks) are the same mechanism. Their existing
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decorators (`@before_llm_call`, `@before_tool_call`, ...) and `return False`
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semantics keep working unchanged; interception hooks generalize the same engine
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to the rest of the framework.
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## The contract
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Every hook is a **synchronous** callable that receives a single typed context:
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```python
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from crewai.hooks import on, HookAborted, InterceptionPoint
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@on(InterceptionPoint.INPUT)
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def add_defaults(ctx):
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# 1. Observe: read anything off the context.
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# 2. Mutate in place: change ctx.payload or nested fields directly.
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ctx.payload.setdefault("locale", "en-US")
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# 3. Or replace: return a new value to swap ctx.payload.
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# 4. Or abort: raise HookAborted(reason, source) to stop the operation.
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return None
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```
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A hook may do any of four things:
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| Action | How | Effect |
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|--------|-----|--------|
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| **Proceed** | `return None` (or nothing) | Operation continues unchanged |
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| **Mutate** | Change `ctx.payload` / fields in place | Change is visible downstream |
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| **Replace** | `return new_payload` | A non-`None` return replaces `ctx.payload` |
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| **Abort** | `raise HookAborted(reason, source)` | Operation is stopped; the reason propagates |
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### Composition, ordering, and fail-open
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- Multiple hooks on the same point run in **registration order**, global hooks
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first, then execution-scoped hooks.
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- The (possibly mutated) payload flows from one hook to the next.
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- `HookAborted` **propagates by design** and stops the chain.
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- Any *other* exception raised by a hook is **swallowed** (fail-open) so a single
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buggy hook can't crash a run — the same protection the legacy hooks provide.
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- When no hook is registered for a point, dispatch is a single dict lookup
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(no-op fast path), so unused points cost effectively nothing.
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## Registering hooks
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Use the `@on` decorator for global hooks. It mirrors the legacy decorators'
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ergonomics, including `agents=` / `tools=` filters:
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```python
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from crewai.hooks import on, InterceptionPoint, HookAborted
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@on(InterceptionPoint.PRE_TOOL_CALL, tools=["delete_file"])
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def guard_deletes(ctx):
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raise HookAborted(reason="file deletion is not allowed", source="policy")
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```
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Applied to a method inside a `@CrewBase` class, `@on` registers a crew-scoped
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hook (active only while that crew runs), matching the existing crew-scoped hook
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behavior.
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## Interception point catalog
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`payload` is the value a hook may mutate or replace at each point.
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### Execution boundaries
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| Point | When | `payload` |
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|-------|------|-----------|
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| `EXECUTION_START` | A crew or flow is about to begin | inputs `dict` |
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| `INPUT` | Resolved inputs for the execution | inputs `dict` |
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| `OUTPUT` | Final result is ready | the output object |
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| `EXECUTION_END` | A crew or flow has finished | the output object |
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### Model & tool boundaries (legacy-compatible)
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| Point | When | `payload` |
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|-------|------|-----------|
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| `PRE_MODEL_CALL` | Before an LLM call | `LLMCallHookContext` |
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| `POST_MODEL_CALL` | After an LLM call | response |
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| `PRE_TOOL_CALL` | Before a tool runs | `ToolCallHookContext` |
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| `POST_TOOL_CALL` | After a tool runs | tool result |
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### Step & agent points
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| Point | When | `payload` |
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|-------|------|-----------|
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| `PRE_STEP` | Before a task or flow-method step | step input |
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| `POST_STEP` | After a task or flow-method step | step output |
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| `TOOL_SELECTION` | Tools are offered to an agent | list of tools |
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| `PRE_DELEGATION` | An agent is about to delegate | delegation input |
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| `RETRY_ATTEMPT` | An operation is about to be retried | retry input |
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`PRE_STEP` / `POST_STEP` carry `ctx.kind` (`"task"` or `"flow_method"`) and
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`ctx.step_name`.
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### Subsystem points
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| Point | When | `payload` |
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|-------|------|-----------|
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| `MEMORY_WRITE` | A value is about to be stored in memory | value |
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| `MEMORY_READ` | A memory query is issued | query |
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| `KNOWLEDGE_RETRIEVAL` | A knowledge query is issued | query |
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| `PRE_CODE_EXECUTION` | Code is about to run (flow `ScriptAction`) | code string |
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| `MCP_CONNECT` | An MCP client is about to connect | connection params |
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### Flow-specific points
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| Point | When | `payload` |
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|-------|------|-----------|
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| `FLOW_TRANSITION` | A flow moves to its triggered methods | list of target methods |
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| `ROUTER_DECISION` | A flow router picks a route | route label |
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## Aborting an operation
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`HookAborted` carries a `reason` and an optional `source`. The `source` defaults
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to the aborting hook when omitted, which is useful for telemetry and failure
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messages:
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```python
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@on(InterceptionPoint.EXECUTION_START)
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def enforce_policy(ctx):
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if not ctx.payload.get("authorized"):
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raise HookAborted(reason="unauthorized execution", source="access-control")
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```
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## Telemetry
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Whenever a point actually dispatches to at least one hook, CrewAI emits a
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`HookDispatchedEvent` on the event bus with the point, the outcome
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(`proceeded` / `modified` / `aborted`), the hook count, the duration, and — for
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aborts — the reason and source. The no-op fast path emits nothing.
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## Managing hooks in tests
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```python
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import pytest
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from crewai.hooks import clear_all_hooks
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@pytest.fixture(autouse=True)
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def reset_hooks():
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clear_all_hooks()
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yield
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clear_all_hooks()
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```
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## Related documentation
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- [Execution Hooks Overview →](/learn/execution-hooks)
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- [LLM Call Hooks →](/learn/llm-hooks)
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- [Tool Call Hooks →](/learn/tool-hooks)
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- [Before and After Kickoff Hooks →](/learn/before-and-after-kickoff-hooks)
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