* fix: dispatch execution_end hook on failed crew and flow executions
The `execution_end` interception point only fired after a successful
kickoff, so consumers never learned about failed runs. Crew kickoff
paths (`kickoff`/`akickoff`) and the flow runtime (`kickoff_async`,
`resume_async`) now dispatch it on the failure path too, with new
additive `status` ("completed"/"failed") and `error` fields on
`ExecutionEndContext`. Pairing flags guarantee exactly-once dispatch,
keep the start/end pairing invariant, and the original exception
propagates unchanged.
* fix: track execution_end pairing per invocation for reentrant flows
Reentrant kickoffs on the same Flow instance are supported (usage
aggregation already accommodates them), but the instance-level pairing
booleans let an inner kickoff's completion mark the outer execution as
ended, skipping the outer failure's `execution_end`. The pairing state
now lives in each `kickoff_async` invocation's locals, and the resume
path passes a per-invocation holder into `_resume_async_body`. Crew
keeps its instance flags since crew kickoffs are not reentrant on the
same instance (`kickoff_for_each` copies the crew).
* feat(skills)!: promote Skills Repository out of experimental
The registry-backed Skills Repository (crewai skill create/publish/
install/list, @org/name refs, global cache) is now mainline:
- CLI: `crewai skill ...` is a top-level group; the CREWAI_EXPERIMENTAL
gate and the now-empty `crewai experimental` group are removed.
- Runtime: registry.py, cache.py, and events.py move from
crewai.experimental.skills into crewai.skills next to the loader;
the require_experimental_skills() gate is gone.
crewai.experimental.skills remains as a deprecated re-export shim.
- Docs: concepts/skills now leads with the CLI workflow and documents
the create -> publish -> install lifecycle.
Linear: n/a (requested promotion)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* feat(skills): org-scoped publish only + docs in all languages
Skills are always scoped to the publishing organization, like tools:
drop the --public/--private flags from `crewai skill publish` and
always send is_public=False to the registry. CLI tests assert the flag
is rejected and the API never receives a public publish.
Translate the new CLI-first Quick Start and the create -> publish ->
install lifecycle section into ar, pt-BR, and ko concepts/skills docs.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix(skills): address review comments on the promotion PR
- Back-compat shim now aliases the old submodules in sys.modules so
`crewai.experimental.skills.registry/cache/events` imports (and patch
targets) resolve to the real crewai.skills modules, not just the
package-root re-exports.
- `crewai skill publish` actually enforces the git-state check that
--force claims to skip: unsynced repos block publishing (mirroring
tool publish); standalone skill dirs outside any git repo publish
without a check.
- Explicit UTF-8 encoding on SKILL.md and cache-metadata reads/writes.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix(skills): fail closed when git state cannot be validated on publish
Follow deploy's pattern: construct git.Repository(fetch=False) and only
treat "not a Git repository" as skippable — any other git error
(fetch/auth/misconfiguration) now blocks publish with a --force escape
hatch instead of silently bypassing the sync check.
Also single-style imports in the shim test (CodeQL) with the dotted
shim import covered via importlib.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix(skills): fetch before sync check on publish; bump mcp past advisories
Publish now refreshes remote-tracking refs (repository.fetch()) before
is_synced(), so ahead/behind is judged against the actual remote rather
than stale local refs; a failing fetch blocks publish with the --force
escape hatch. Adds a fail-closed test for fetch errors.
Raise mcp to >=1.28.1,<2 (locks 1.28.1): the ~=1.26.0 pin blocked
GHSA-hvrp-rf83-w775 / GHSA-jpw9-pfvf-9f58 (fixed 1.27.2) and
GHSA-vj7q-gjh5-988w (fixed 1.28.1), which were failing pip-audit on
this PR.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Co-authored-by: Vinicius Brasil <vini@hey.com>
* docs: add Flows in Studio documentation
Documents the new Flows build mode in Studio: why deterministic
workflows with agentic steps matter, the three core node types
(Single Agent, Crews, Router), and Agent Repository publish/pull
sync across organizations.
Includes a rollout banner for the week of July 20th, English source
plus pt-BR, Korean, and Arabic translations, and nav entries for
both edge and v1.15.2 (Crew Studio group renamed to Studio).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* docs: limit Flows in Studio docs to edge version
Versioned snapshots are updated by a separate script, so remove the
v1.15.2 copies and revert its nav changes; the page now lives only
under edge.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
* docs: group execution hooks and document all hook contexts
The hooks pages sat flat in the learn nav and only documented the LLM
and tool call contexts, with examples built on the legacy decorators.
Groups them under a collapsible "Execution Hooks" section, adds
`step-hooks` and `execution-boundary-hooks` pages covering every hook
context from source, reworks the LLM and tool pages to lead with `@on`
while keeping the decorators, and links the orphaned
`before-and-after-kickoff-hooks` page into the group.
* docs: prefix hook cross-links with /en so they resolve in edge
The new edge-only hooks pages linked each other with versionless paths
like `/learn/step-hooks`, which mintlify resolves against the frozen
default version where those pages do not exist, breaking the CI link
check. Uses the `/en/learn/...` form the other edge pages already use.
* docs: use /edge prefix for links to edge-only hooks pages
The `/en/learn/...` form still resolves against the default frozen
version, where `step-hooks` and `execution-boundary-hooks` do not exist
yet, so the link checker kept failing. Links now use the explicit
`/edge/en/learn/...` form, matching how `consuming-streams.mdx` linked
to edge-only streaming pages before they were frozen.
* feat: add pre_step and post_step interception points on task execution
Introduces `StepContext` and the two step points in the dispatcher, and
wires them around agent execution in `task.py` (sync and async paths):
`pre_step` fires after `TaskStartedEvent` with the task context as
payload, `post_step` fires before `TaskCompletedEvent` with the
`TaskOutput`, and hook replacements are rebound in both directions.
* feat: wire pre_step and post_step on flow method execution
Dispatches the step points around each flow method with
kind="flow_method": `pre_step` receives the dumped call params and maps
returned edits back onto args/kwargs, `post_step` can rewrite the method
result before it is recorded. Conformance tests cover per-method firing
and output rewriting.
* docs: rework execution hooks page around the @on api
Replaces the standalone interception hooks catalog with a single
`execution-hooks.mdx` page that teaches `@on` as the primary way to
write hooks, covering the full ten-point catalog across task, flow, and
LLM execution. The legacy per-point decorators stay documented in a
closing section, and the `docs.json` navigation drops the removed page.
* Support legacy OpenAI base URL env var
* Add custom OpenAI-compatible endpoint support
* Refactor OpenAI completion module test to restore original module state
- Added logic to save and restore the original OpenAI completion module during the test to prevent issues with class re-imports affecting subsequent tests.
- Ensured that the test checks for the presence of the module and its attributes only after the module is properly reloaded.
- Improved test reliability by avoiding potential failures due to module state changes across tests.
* addressing comments
* docs: rename ACP rules to policies across edge and v1.15.1 locales with redirects
* docs: point ACP policies pages at the new policy screenshots
* docs: address review — revert frozen v1.15.1 edits and fix redirect ordering
* docs: prefix edge policies cross-links so they resolve until the next version cut
* docs: move policies redirects above all wildcard redirects
* fix: freeze docs version nav from Edge instead of previous release
The docs cut copied every Edge file into the new `docs/v<X.Y.Z>/`
snapshot but built that version's `docs.json` navigation by cloning the
previous frozen release and only rewriting path prefixes. Pages added to
Edge since the last release were therefore copied to disk yet never
linked in the version selector, which is why the v1.15.0 cut shipped
without the Datadog guide. `_build_new_entry` now clones the Edge nav
entry and rewrites `edge/<locale>/` to `v<new>/<locale>/`, so promoting
Edge to Latest carries every current page and nav restructuring.
* docs: link the v1.15.0 Datadog guide dropped during the cut
The v1.15.0 freeze copied `enterprise/guides/datadog` into the snapshot
for every locale but never linked it in `docs.json`, because the cut
cloned the v1.14.7 nav instead of Edge. This backfills the missing nav
reference in the `en`, `pt-BR`, `ko`, and `ar` v1.15.0 blocks so the
already-shipped page is reachable from the version selector. Pairs with
the `_build_new_entry` fix that prevents future cuts from dropping pages.
* docs: link the v1.15.1 Datadog guide dropped during the cut
The v1.15.1 cut ran before the freeze-from-Edge fix landed, so it
inherited the same bug as v1.15.0: `enterprise/guides/datadog` was
copied into the snapshot for every locale but never linked in
`docs.json`. This backfills the missing nav reference in the `en`,
`pt-BR`, `ko`, and `ar` v1.15.1 blocks so the page is reachable from the
version selector.
JSON-formatted stdout is now the only supported log shape in CrewAI
Enterprise — the `CREWAI_LOG_FORMAT=json` opt-in env var is gone and
no longer needs to be configured in AMP. Removes the "Enabling JSON
output" section, the env-var setup step, the troubleshooting check,
and the `legacy text mode` comparison across the four locale copies
(`en`, `ko`, `pt-BR`, `ar`) of `docs/edge/<lang>/enterprise/guides/datadog.mdx`.
The page itself already landed on main via #6247. This rebases onto main
and applies the two remaining changes:
- Nest crew-studio + merged-step-card into a collapsible "Crew Studio"
nav group (pencil icon), across edge and v1.14.7 in en, pt-BR, ko, ar.
- Remove the temporary "Rolling out" Note banner (feature ships today).
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Currently, tools have a strong input contract through `args_schema`, but no
output contract. This means that anything a tool outputs is converted to
string.
Not only the contract is weak, but the "invisible" conversion to string can
have unexpected effects when the tool returns complex objects like dicts and
arrays.
With this PR, a tool can _optionally_ define an output contract with
`output_schema`. CrewAI validates the raw result and sends the agent JSON.
```python
class ProductResult(BaseModel):
sku: str
name: str
in_stock: bool
class ProductLookupTool(BaseTool):
name: str = "Product Lookup"
description: str = "Look up product availability by SKU."
def _run(self, sku: str) -> ProductResult:
return ProductResult(sku=sku, name="USB-C dock", in_stock=True)
```
If the result does not match the schema, CrewAI warns and falls back to
`str(raw_result)` instead of failing the run:
```python
@tool("Product Lookup", output_schema=ProductResult)
def product_lookup(sku: str) -> dict[str, object]:
return {"sku": sku, "name": "USB-C dock", "in_stock": True}
#=> RuntimeWarning: Failed to validate or serialize output from tool 'Bad Product Lookup' using output_schema 'ProductResult'... Falling back to str(raw_result).
```
This is additive and non-breaking. Existing tools do not need to change. Tools
without `output_schema` keep the old string behavior. Invalid typed outputs
warn and fall back to the old formatting path.
* docs: add "One Card per Step" Studio page (AGE-107)
Document the merge of the task and agent nodes into a single step card on
the Studio canvas. Written as evergreen present-tense feature docs with a
dated rollout banner (June 24th) for the pre-launch customer announcement;
the banner is the only time-bound content and is flagged for removal after
ship. Added in edge + v1.14.7 across en, pt-BR, ko, and ar, with nav entries
in docs.json and three canvas/editor/swap screenshots.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix: bump bedrock agentcore dependencies
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: alex-clawd <alex@crewai.com>
Adds a consolidated `datadog.mdx` under `docs/edge/{en,pt-BR,ko,ar}/enterprise/guides/`
covering both the Datadog Agent path (stdout JSON logs via `CREWAI_LOG_FORMAT=json`)
and the Datadog OTLP intake, with a JSON log schema reference and a ready-to-import
operations dashboard (`datadog_dashboard.json`). Reframes `capture_telemetry_logs.mdx`
to lead with OpenTelemetry as the vendor-neutral path and point readers to the new
Datadog page for that ecosystem's setup.
* feat: update pyproject.toml to specify wheel targets
Added a new section to the pyproject.toml file to include only specific files in the wheel build, enhancing the packaging process. Updated tests to verify the inclusion of these targets.
* feat: add memory save event handling to activity log
Implemented event handlers for MemorySaveStartedEvent, MemorySaveCompletedEvent, and MemorySaveFailedEvent in the crew_run_tui module. This allows the application to log memory save operations, capturing their status and details in the activity log. Added corresponding tests to verify the correct logging behavior for successful and failed memory saves.
* feat: enhance memory save event handling in activity log
Added functionality to suppress nested memory save events and updated the handling of MemorySaveStartedEvent, MemorySaveCompletedEvent, and MemorySaveFailedEvent to improve logging accuracy. Introduced new tests to verify the correct behavior of memory save events, including scenarios for nested events and completion updates for timed-out entries.
* Fix memory save activity log handling
* Normalize alpha package versions
* Update scaffolded crew dependency
* feat: add button to copy setup instructions for CrewAI coding agents
Introduced a button in the documentation that allows users to easily copy setup instructions for CrewAI coding agents. The instructions include installation steps, environment setup, and best practices for using the CrewAI CLI. This enhancement aims to streamline the onboarding process for new users.
* Improve missing CrewAI install guidance
* fix: address pr review feedback
* fix: avoid mismatched memory save rows
* fix: wait for queued memory save events
* fix: avoid matching memory saves on missing ids
* chore: normalize prerelease version to 1.14.8a1
* feat: adopt directory-based docs versioning with Edge channel
Switch docs.crewai.com from navigation-only versioning (every version
selector entry rendered the same docs/<lang>/* source files) to
Mintlify's directory-based versioning so each version selector entry
renders its own snapshot. Add an "Edge" channel under docs/edge/<lang>/*
that always reflects main HEAD for unreleased work, eliminating
pre-release leakage onto frozen release labels. External links to
canonical /<lang>/* URLs are preserved via wildcard redirects that
always land on the current default version.
Layout:
- docs/edge/<lang>/* rolling source (you edit here)
- docs/edge/enterprise-api.*.yaml
- docs/v<X.Y.Z>/<lang>/* frozen, immutable snapshots
- docs/v<X.Y.Z>/enterprise-api.*.yaml
- docs/images/ shared, append-only
- docs/docs.json nav + redirects
URLs follow the Mintlify-idiomatic shape: /edge/<lang>/<page> for
Edge, /v<X.Y.Z>/<lang>/<page> for every frozen snapshot. The wildcard
redirects /<lang>/:slug* -> /<default>/<lang>/:slug* keep stale links
working, and every freeze rewrites them (plus all per-section/per-page
redirects) so destinations always resolve to the current default
without depending on a second redirect hop.
Release flow integration (devtools release):
- New module crewai_devtools.docs_versioning.freeze() materialises
docs/v<X.Y.Z>/ from docs/edge/, rewrites openapi: refs inside the
snapshot, inserts the version into every language block in
docs.json, and refreshes all redirect destinations.
- _update_docs_and_create_pr() in cli.py now calls that freeze during
Phase 2 of devtools release. Edge changelogs are updated first (so
the snapshot freeze picks them up), then the snapshot is staged
alongside docs.json, branched as docs/freeze-v<X.Y.Z>, and the PR
is titled [docs-freeze] docs: snapshot and changelog for v<X.Y.Z>
— the title prefix the new CI guard reads.
- The PR still gates tag, GitHub release, PyPI publish, and the
enterprise release as before; no new PRs are added.
- Pre-releases (1.X.YaN, 1.X.YbN, ...) skip the snapshot — they ride
Edge — and the docs PR title omits the [docs-freeze] prefix.
- docs_check (AI-generated docs scaffolding) writes to
docs/edge/<lang>/* so newly-generated unreleased docs land in Edge
and never accidentally touch a frozen snapshot.
Migration scripts (one-shot):
- scripts/docs/freeze_historical_versions.py reconstructs all 16
historical snapshots (v1.10.0 .. v1.14.7) from git tags via
git archive | tar, rewriting openapi: MDX refs so each snapshot
reads its own enterprise-api YAML rather than the live one.
- scripts/docs/prefix_version_paths.py one-shot-migrates docs.json:
rewrites every page path in 16 versioned blocks to point under
docs/v<X.Y.Z>/, inserts a new Edge entry per language, tags
v1.14.7 as Latest (default), prunes pages whose target file
doesn't exist in the snapshot (e.g. docs/ar/ didn't exist before
v1.12.0), and writes the wildcard + per-section redirects.
- scripts/docs/freeze_current_edge.py is now a thin CLI wrapper
around docs_versioning.freeze for manual one-off freezes (e.g.
retroactively snapshotting a forgotten release).
CI guards (.github/workflows/docs-snapshots.yml):
- Frozen snapshots under docs/v[0-9]*/ are immutable; only PRs whose
title contains [docs-freeze] (i.e. release-cut PRs generated by
devtools release or the manual wrapper) may modify them.
- Images under docs/images/ are append-only since snapshots share a
single image directory. Deleting or renaming an image breaks every
historical snapshot that still references it.
Restored docs/images/crewai-otel-export.png from PR #3673; it was
deleted in PR #4908 but v1.10.0 / v1.10.1 snapshots still reference
it. Restoring instead of editing the snapshots preserves historical
rendering fidelity and validates the new append-only rule
retroactively.
Tests:
- lib/devtools/tests/test_docs_versioning.py covers the freeze: file
copy, openapi rewrite, version insertion, default demotion, redirect
upserts, per-section redirect rewriting, idempotency, and invalid
inputs.
Verified locally with mintlify broken-links: 0 broken links across
the full site (Edge + 16 frozen versions, 4 locales).
AGENTS.md (repo root) is the contributor guide for the new model;
RELEASING.md is the release-cut runbook; README's Contribution
section links to both.
Co-authored-by: Cursor <cursoragent@cursor.com>
* style: resolve linter issues
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
* Update installation and quickstart documentation for JSON-first crew projects
- Revised the installation guide to reflect the new JSON-first project structure, detailing the creation of `crew.jsonc` and `agents/*.jsonc` files.
- Updated the quickstart guide to demonstrate setting up agents and tasks using JSONC format, replacing previous YAML examples.
- Enhanced the agents and tasks documentation to clarify the transition from YAML to JSONC, including examples and explanations of the new structure.
- Added notes on the classic YAML structure for legacy projects and provided guidance on migrating to the new format.
* docs: clarify json crew quickstart guidance
* docs: address json docs review feedback
* feat(cli): introduce JSON crew project support and TUI enhancements
- Added support for creating and running JSON-defined crew projects, allowing users to scaffold projects with a new `create_json_crew.py` file.
- Implemented a full-screen Textual TUI for crew execution in `crew_run_tui.py`, enhancing user interaction with a two-column layout.
- Updated `run_crew.py` to prioritize JSON crew projects and added daemon mode for running without TUI.
- Introduced interactive pickers in `tui_picker.py` for improved CLI prompts.
- Enhanced validation for JSON crew files in `validate.py` to ensure proper structure and agent definitions.
- Updated `.gitignore` to exclude demo and crewai directories.
* feat: update LLM model references to gpt-5.4-mini
- Changed default LLM model from gpt-4o-mini to gpt-5.4-mini across various files, including CLI options, JSON crew configurations, and agent definitions.
- Enhanced benchmark and human feedback functionalities to utilize the new model.
- Improved user interface elements in the TUI for better interaction and feedback during execution.
- Added support for new skills directory in JSON crew project creation.
* feat(benchmark): add crew-level benchmarking functionality
- Introduced a new `benchmark` command in the CLI for crew-level benchmarking, allowing users to specify agents, models, and timeout settings.
- Implemented `CrewBenchmarkCase` to handle crew-level benchmark cases with inputs and criteria.
- Enhanced the benchmark runner to support progress tracking and detailed reporting of results for multiple models.
- Added tests for loading crew benchmark cases and validating their structure.
- Updated existing benchmark functions to accommodate the new crew-level execution model.
* feat(cli): enhance JSON crew project functionality and TUI improvements
- Added optional agent-level guardrails and advanced options in JSON crew configurations to improve output validation and flexibility.
- Updated the TUI to better handle plan step statuses, including visual indicators for task completion and failure.
- Introduced methods for parsing and managing step observation events, ensuring accurate updates to task statuses during execution.
- Enhanced validation for JSON crew projects, ensuring proper structure and error handling for agent and task definitions.
- Added comprehensive tests for new features and validation logic, ensuring robustness in JSON crew project handling.
* refactor(cli): streamline JSON crew project handling and improve validation
- Refactored JSON crew project loading and validation logic to enhance clarity and maintainability.
- Introduced utility functions for finding JSON crew files, improving code reuse across modules.
- Removed deprecated benchmark functionality and associated tests to simplify the codebase.
- Updated CLI commands to utilize the new JSON project structure, ensuring compatibility with recent changes.
- Enhanced test coverage for JSON crew project features, ensuring robust validation and error handling.
* feat(cli): enhance activity log navigation and focus management
- Added functionality to focus on the activity log when navigating through log entries.
- Implemented refresh logic for the log panel to ensure updates are displayed correctly during navigation.
- Improved keyboard navigation for log entries, allowing users to expand and scroll through logs seamlessly.
- Added tests to verify the correct behavior of log navigation and focus management in the TUI.
* feat(cli): enhance JSON crew project interaction and input handling
- Introduced a new function to enable prompt line editing for better user experience during input prompts.
- Updated the JSON crew project wizards to show interpolation hints for dynamic values, improving user guidance.
- Enhanced the handling of missing input placeholders by prompting users for required values during crew setup.
- Refactored the crew run logic to ensure proper loading and preparation of JSON-defined crews, including runtime input management.
- Added tests to verify the correct behavior of new input handling features and JSON crew project interactions.
* feat(cli): improve crew project input prompts and event handling
- Enhanced the `_prompt_text` function to allow for configurable spacing before prompts, improving user experience during input collection.
- Updated the wizards for agent and task creation to utilize the new prompt configuration, ensuring a more compact and streamlined interaction.
- Introduced new plan step lifecycle events (`PlanStepStartedEvent`, `PlanStepCompletedEvent`) to better track the execution status of plan steps.
- Refactored the step executor to emit these events during the execution of tasks, improving observability and debugging capabilities.
- Added tests to verify the correct behavior of new prompt handling and event emissions during crew project execution.
* fix: refine json-first crew interactions
* fix: prioritize common json crew tools
* fix: make json crew more tools expandable
* fix: show json crew tools by category
* feat(memory): update default embedder to OpenAI text-embedding-3-large and enhance memory compatibility
- Changed the default embedding model for Memory to OpenAI text-embedding-3-large, which uses 3072-dimensional vectors.
- Added warnings regarding compatibility issues with existing local memory stores created with 1536-dimensional embeddings.
- Updated documentation to reflect the new default embedder and its configuration options.
- Enhanced the CLI and codebase to support the new embedding model across various components, ensuring a seamless transition for users.
* fix: address PR review feedback for JSON-first crews
Review blockers:
- Forward trained_agents_file to JSON crews: crewai run -f now exports
CREWAI_TRAINED_AGENTS_FILE for the in-process JSON crew path
- Wizard agent picker: Esc/cancel now reprompts instead of silently
assigning the first agent
- JSON tool resolution hard-fails: unknown tool names, missing custom
tool files, and invalid custom tool modules raise JSONProjectError
with actionable messages instead of warn-and-continue
- Embedding dimension mismatch: LanceDB and Qdrant Edge storages raise
EmbeddingDimensionMismatchError with reset/pin guidance instead of
silently zero-filling vectors or returning empty search results
- Custom tool code execution documented in loader docstring and the
scaffolded project README
CI fixes:
- ruff format across lib/
- All 133 PR-introduced mypy errors fixed (llm.py lazy-litellm and
cli.py lazy command shims now use TYPE_CHECKING imports; textual
is_mounted misuse fixed; pick_many overloads; misc annotations)
Bot review comments:
- Empty except blocks now have explanatory comments or debug logging
- Removed unused _C_BG/_C_PANEL/_C_BORDER globals and redundant
import re; tests use a single import style for create_json_crew
Tests: trained-agents propagation, wizard cancel, tool resolution
failures, and dimension mismatch guidance.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix: address second round of PR review comments
Cursor Bugbot:
- Wizard agent slugs: strip to [a-z0-9_] and fall back to agent_<n> so
symbol-only roles can't produce an empty agents/.jsonc filename
- Wizard task names: dedupe against prior task names and fall back to
task_<n> for symbol-only descriptions
CodeRabbit:
- Agent.message(): import Task explicitly at runtime instead of relying
on the namespace injection done by crewai/__init__
- Async executor: move the native-tools-unsupported fallback from
_ainvoke_loop_react (self-recursion) to _ainvoke_loop_native_tools,
mirroring the sync implementation
- StepExecutor downgrade: keep the in-step conversation and append the
text-tooling instructions instead of rebuilding messages, so completed
native tool calls are not re-executed
- crewai-files: extension-based MIME lookup now runs before byte
sniffing so csv/xml types are not degraded to text/plain
- Memory storages: validate every record in a save() batch against a
consistent embedding dimension (LanceDB previously checked only the
first record); added mixed-batch tests
- _print_post_tui_summary now typed against CrewRunApp
- Docs: Azure OpenAI default embedder change called out in the memory
migration warning and provider table
Code quality bots:
- Removed unused _C_YELLOW/_C_CYAN (crew_run_tui) and _GREEN (tui_picker)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* feat(cli): accordion tool picker in JSON crew wizard
The flat tool list had grown to ~90 rows. The picker now shows:
- Common tools always visible at the top
- Every other category as a single expandable row with tool and
selection counts (e.g. "Search & Research (27 tools, 2 selected)")
- Expanding a category collapses the previously expanded one
- Selections persist across expand/collapse via new preselected
support in pick_many; cursor follows the toggled category row
tui_picker gains preselected + initial_cursor options on pick_many,
and Esc in multi-select now confirms the current selection instead of
discarding it (required so collapsing can't silently drop choices).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* refactor(cli): remove --daemon flag from crewai run
The flag only affected JSON crew projects — classic and flow projects
ignored it entirely, which made the behavior inconsistent. Removed the
option, the daemon code path (_run_json_crew_daemon), and its helper
(_load_json_crew_with_inputs).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* test: update run command tests after --daemon removal
lib/crewai/tests/cli/test_run_crew.py still asserted the old
run_crew(trained_agents_file=..., daemon=False) call signature.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix(cli): exit codes, mid-run quit, async statuses, hyphen placeholders
Addresses the latest Bugbot review round:
- Failed JSON crew runs now exit non-zero (SystemExit(1)) so scripts
and CI don't treat failures as success, mirroring the classic path
- Quitting the TUI mid-run now ends the process (os._exit(130));
kickoff runs in a thread worker that cannot be force-cancelled, so
letting the CLI return would leave LLM/tool work burning tokens in
the background
- Sidebar task statuses are now async-safe: completion/failure events
resolve the task's own row via identity instead of assuming the most
recently started task, and starting a task no longer blanket-marks
earlier active rows as done
- The runtime-input prompt regex now accepts hyphenated placeholder
names ({my-topic}), matching kickoff's interpolation pattern
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix: validation safety, custom tool sandboxing, TUI log integrity, memory error surfacing
- Deploy validation no longer executes project code: validation mode
checks tool declarations structurally (well-formed entries, custom
tool file exists) without importing or instantiating anything.
custom:<name> resolution only happens on the actual run path.
- custom:<name> is constrained to [A-Za-z_][A-Za-z0-9_]* and the
resolved path must stay inside the project's tools/ directory, so
custom:../foo or absolute-path names cannot execute code outside it.
Tool paths resolve relative to the crew project root, not cwd.
- TUI task logs are built from per-task state captured at task start
(idx, description, agent, start time); an out-of-order completion
takes its output from the event and no longer steals or resets the
current task's streamed steps/output.
- EmbeddingDimensionMismatchError now inherits ValueError instead of
RuntimeError so background saves surface it through
MemorySaveFailedEvent instead of silently dropping the save; the
shutdown catch in _background_encode_batch is narrowed to the
"cannot schedule new futures" case.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix(cli): declared project type wins over crew.json presence
A flow project that also contains a crew.json(c) file now runs and
validates as the flow it declares in pyproject.toml instead of being
hijacked by the JSON crew path. Both crewai run (_has_json_crew) and
deploy validation (_is_json_crew) check tool.crewai.type; a missing or
unreadable pyproject still means a bare JSON crew project.
Also documents why StepObservationFailedEvent intentionally marks the
plan step "done": the event signals an observer failure, not a step
failure, and the executor continues past it.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix(cli): type the declared_type locals so mypy stays clean
Comparing an Any-typed .get() chain returns Any, which tripped
no-any-return on the previous commit.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
* feat: aggregate LLM token usage at the flow level
Introduces `flow.usage_metrics`, a snapshot of every LLMCallCompletedEvent
emitted under the flow's `current_flow_id` for the duration of one kickoff
(or resume) call. Aggregation happens on the singleton event bus so it
covers crews, direct `LLM.call`s, and nested listener calls — solving the
mismatch where the SDK reported only the last crew's usage while the
Enterprise UI showed the correct full total.
Co-authored-by: Cursor <cursoragent@cursor.com>
* refactor: centralize provider key normalization in UsageMetrics
Add UsageMetrics.from_provider_dict to normalize raw LLM usage dicts
across providers (LiteLLM, native Anthropic, native Gemini, OpenAI
nested cached). BaseLLM._track_token_usage_internal and the flow-level
aggregator now share this single source of truth, so `flow.usage_metrics`
agrees with per-LLM totals on every provider — including the native
Anthropic path that emits `input_tokens`/`output_tokens` instead of
`prompt_tokens`/`completion_tokens`.
* fix: flush event bus before reading aggregated usage_metrics
`crewai_event_bus.emit` dispatches LLMCallCompletedEvent handlers on a
ThreadPoolExecutor (fire-and-forget), so a flow whose last LLM call
completes right before kickoff_async/resume_async returns can detach
the usage listener while that handler is still queued, leaving its
tokens off `flow.usage_metrics`. Match `Crew.kickoff()` and call
`crewai_event_bus.flush()` in both finally blocks so every handler
drains before the listener is detached.
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
* docs: udpate docs to reflect new state of OpenTelemetry collector
* docs: add OTel collector and Datadog screenshots
These images are referenced by the capture_telemetry_logs guides but were
missing from the tree, which broke the link checker across all locales.
* docs: address PR review on OTel collector guide
- Clarify that OpenTelemetry Traces and Logs are separate integrations
sharing the same fields (resolves Traces/Logs wording inconsistency)
- List regional Datadog OTLP hosts (US1/US3/US5/EU1/AP1) so users outside
US5 can copy the right domain
