Claude Code discovers CLAUDE.md but not AGENTS.md, so the contributor
instructions were loading for nobody. The import shim is what our own docs
already recommend to users in docs/edge/en/guides/coding-tools/agents-md.mdx.
The PreToolUse guard enforces only rules already written in CONTRIBUTING.md
and AGENTS.md, so it adds no policy of its own.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01ASfWmW3RGy4qAQm6s8U9jH
* feat(telemetry): split runtime context from coding agent, add project id
The coding-agent field answered two questions at once. A run with no TTY
reported "non_interactive" and an editor's integrated terminal reported
"vscode_terminal", both in the same field as the assistant name, so a run
that never had an assistant to detect was indistinguishable from one
whose assistant we failed to recognize. Together those two values were
the majority of what the field reported.
detect_coding_agent now answers only which assistant, returning "unknown"
when no marker matches. detect_runtime_context answers where the process
runs: ci, serverless, hosted_ide, notebook, container, the editor
terminals, and the interactive/non_interactive fallback. Both ride on
every span, so an assistant running inside CI reports both rather than
one masking the other.
The runtime markers are published platform contracts - CI providers,
container and serverless runtimes, hosted IDEs - so unlike the assistant
table they need no per-tool verification step. Presence is checked; no
value is read. The assistant table is unchanged: its entries still
require a confirmed, session-scoped variable, and the existing guard test
still enforces that.
Spans also carry project_id when the project declares one. It is read
through the read-only accessor, since minting an id belongs to the CLI
commands a user invoked rather than to a library call during execution,
and it is omitted entirely for projects without one. The attributes are
computed once per process and memoized, so the project file is not
re-read for each provider.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* docs: document execution environment telemetry attributes
Adds the execution-environment row to the data table in en, ar, ko and
pt-BR. Covers the assistant and runtime fields this branch splits apart
and the project id, and states that detection reads only whether known
environment variables are set.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* fix(telemetry): detect runtime markers by presence, split paas from serverless
Three findings from the CodeRabbit, code-quality and Cursor reviews.
The runtime loop tested truthiness while constants.py documented presence,
so a platform exporting a bare CI= fell through to the TTY fallback and
was mislabelled as an ordinary local run. Presence is now what it says.
The assistant markers keep truthiness deliberately: there an empty value
means the tool set a placeholder rather than claiming the session.
DYNO and WEBSITE_INSTANCE_ID marked Heroku dynos and Azure App Service
instances as serverless, and since serverless is checked first they could
never reach the container label. They move to a paas context, which is
what they are: long-lived containers rather than per-invocation
functions. AWS_EXECUTION_ENV is dropped entirely - it is set on ECS and
EC2 as well as Lambda, and AWS_LAMBDA_FUNCTION_NAME already covers Lambda
without the collision.
The container probe no longer wraps os.path.exists in a try/except.
os.path.exists handles OSError internally and returns False, so the
handler guarded a condition that cannot occur and only hid the intent.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* feat(telemetry): widen assistant detection from published marker sets
The table previously covered three assistants because the rest were
unverified. They are documented after all: vercel/detect-agent publishes
a machine-readable detection matrix (agents.json), corroborated by the
proposal in agentsmd/agents.md#136 and by microsoft/vscode#311734.
Adds cline, gemini_cli, augment, opencode, antigravity and junie, plus
CLAUDE_CODE alongside CLAUDECODE. Gemini's marker is confirmed by its own
docs, which state that run_shell_command sets GEMINI_CLI=1 in the
subprocess environment.
Rule 2 excluded several entries those sources list. Goose's
GOOSE_PROVIDER and Copilot's COPILOT_MODEL and COPILOT_GITHUB_TOKEN are
user configuration, and a committed .env carrying one would relabel every
ordinary run - the AIDER_MODEL trap the guard test already pins, now
parametrized over all four. Replit's REPL_ID names a hosted environment
rather than an assistant, so it stays a runtime context. Copilot sets no
session marker at all today; that is an open request upstream.
The new assistants are ordered ahead of Cursor, since CURSOR_* is set for
every integrated terminal and would otherwise mask anything spawned
inside it - the same ordering Codex already needed.
Also adds the proposed cross-vendor AI_AGENT marker as a last resort,
reported as "other". It establishes that an assistant is present without
naming one, and its value is an arbitrary vendor string, so the value is
never read.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* fix(deps): raise gitpython and pypdf floors for new advisories
gitpython 3.1.57 carries GHSA-9rj7-rf2p-w77r, GHSA-4gmw-gg2m-w46p,
GHSA-hh9p-6wh2-4mfc, GHSA-wvpp-8hx9-p66j and GHSA-jm78-9fvv-mhgr: further
unguarded git option forwarding in Repo.init, read-tree and git-config,
plus arbitrary file read via --pathspec-from-file. Fixed in 3.1.58.
pypdf 6.14.2 carries GHSA-fwg2-594c-jp42 and GHSA-fp3f-mc75-235c,
unbounded runtime and memory on large content and /ToUnicode streams.
Fixed in 6.15.0.
Both floors were already pinned, so only the versions move. Their
exclude-newer-package cutoffs had to move with them - 3.1.58 landed
2026-08-04 and 6.15.0 on 2026-08-06, both past the existing dates, so the
resolver could not have seen either release.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* fix(telemetry): share assistant precedence with the env-context path
Four findings from the Cursor and CodeRabbit reviews, three of them the
same root cause.
get_env_context restated the precedence the shared table already defines,
so every marker added for telemetry was invisible to it: a session
exposing only CLAUDE_CODE reported claude_code on spans while emitting
DefaultEnvEvent, and an assistant running inside a Cursor terminal
reported that assistant on spans while emitting CursorEnvEvent. It now
walks CODING_AGENT_ENV_MARKERS and maps the three assistants that have an
event class of their own, defaulting the rest to DefaultEnvEvent. A test
now asserts the two paths agree for every marker in the table, so they
cannot drift again.
The generic AI_AGENT marker was documented as presence-only but ran
through the truthiness loop with everything else, so an empty value fell
through to unknown. It moves out of the table and is checked by presence
after it, which also keeps the named markers' truthiness intact.
Azure Functions run on the App Service host and inherit
WEBSITE_INSTANCE_ID, so moving that marker to paas would have relabelled
them. The FUNCTIONS_* markers are checked first to keep them serverless.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* fix(telemetry): stop export assertions depending on test order
test_all_common_attributes_land_on_exported_spans failed in CI with an
IndexError on an empty span list, and only in one shard: the suite runs
with OTEL_SDK_DISABLED set, so TracerProvider hands out no-op tracers and
an export-based assertion sees zero spans rather than a wrong attribute.
It passed only when it happened to run after a test whose fixture flips
the variable, which random ordering decides.
Adds an otel_enabled fixture that sets the variable for the four tests
asserting on exported spans. Three of them predate this branch and had
the same latent dependency - they are fixed here because the new test
made the ordering hit reachable, and leaving them would keep the required
check red.
Verified by running every test in the file individually, all of which
previously exposed the dependency, and the telemetry suite three times
under random ordering.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Raise override floors to aiohttp>=3.14.3 and cryptography>=50.0.0 so pip-audit
no longer reports WebSocket smuggling, C parser OOB read, wildcard cert, path
building, and PKCS#7 oracle issues in the locked dependency tree.
* feat: add project_id to link OSS usage to an enterprise account
Adds a stable per-project identifier so a project's OSS traces and runs can
be attributed to an account after signup. There was no such identifier
before: [tool.crewai] held only `type`, the deploy UUID was printed to the
console but never persisted, Settings.org_uuid is global rather than
per-project, and trace batches carried only crew_fingerprint/crew_name.
The id lives in the project's pyproject.toml, so it is committed with the
repository and stays stable across machines, teammates, CI, and containers -
unlike a machine- or user-derived identifier, which is unstable in exactly
the containerized production environments that matter most.
crewai-core:
- get_project_id(): read-only lookup of [tool.crewai].project_id. Safe for
library code; never creates or modifies anything.
- get_or_create_project_id(): mints a uuid4 and persists it, returning
(id, created) so callers can tell the user. Best-effort - returns
(None, False) for a missing, malformed, or read-only pyproject.toml rather
than raising.
- Insertion edits the raw TOML text instead of round-tripping through a
writer, so comments, key order, and formatting elsewhere survive. The key
is placed at the end of the [tool.crewai] table, before the next table
header, so it cannot land in a neighbouring section.
- LoginPayload and TraceExecutionContext gain optional project_id.
Sent on two paths:
- Traces: project_id is added to execution_context, which is sent on both
the ephemeral and authenticated paths, so a project's traces remain
attributable before and after the user creates an account.
- Login: `crewai login` already sends the pseudonymous user_identifier on an
authenticated request; adding project_id means one request carries account
+ user + project, which is the link itself.
Minting is restricted to CLI commands the user explicitly invoked - `crewai
create` for new projects and `crewai run` to backfill existing ones - and is
announced when it happens. Library code only ever reads. Silently rewriting
a user's pyproject.toml during Crew.kickoff() would be surprising.
Privacy: project_id is a random uuid4 in a file the user commits. It is
visible in a diff, contains nothing personal, and identifies a project
rather than a person - so this needs none of the notice changes that
attaching a user identifier to all telemetry would require.
Tests: 18 new tests covering minting, stability, table placement, comment
and formatting preservation, five pyproject layouts, the neighbouring-table
regression, and graceful handling of missing/malformed/read-only files.
Verified end-to-end that both create paths mint distinct ids, that the trace
payload carries project_id on both the ephemeral and authenticated paths,
and that the login payload carries user_identifier and project_id together.
Follow-ups, deliberately not included: adding project_id to telemetry spans,
and backend persistence of the (account, user_identifier, project_id) triple.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UNumDnNbiyw3pv1WakAe6t
* refactor: drop the console announcement when minting project_id
Minting now happens silently. With no message to print, the (id, created)
tuple had no consumer, so simplify the API rather than keep the flag around
for a hypothetical caller:
- get_or_create_project_id() returns `str | None` instead of
`tuple[str | None, bool]`.
- Remove crewai_cli.utils.ensure_project_id, which existed only to print the
message and discard the flag. The four call sites (crewai create crew,
crewai create flow, crewai run, and tool-repository login) now call
get_or_create_project_id directly.
- Update tests for the simplified signature; still 18 tests covering minting,
stability, table placement, formatting preservation, five pyproject
layouts, and missing/malformed/read-only handling.
Behaviour is otherwise unchanged: minting stays restricted to CLI commands
the user invoked, library code still only reads via get_project_id, and a
missing or read-only pyproject.toml still returns None rather than raising.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UNumDnNbiyw3pv1WakAe6t
* fix: harden project_id minting against TOML corruption; address review
Several reviewers found ways the raw-text edit could produce invalid TOML.
Each is now fixed and covered by a test that fails without the fix.
Duplicate project_id key (Cursor bugbot, Copilot x2):
- get_project_id() reports a blank or non-string value as "absent", so a file
containing `project_id = ""` took the insert path and gained a second
project_id line - a duplicate key, and therefore invalid TOML that no
tomli-based tool could read afterwards.
- _insert_project_id is now _set_project_id: it replaces an existing
assignment inside [tool.crewai] instead of appending unconditionally.
Table header with a trailing comment (CodeRabbit major, Cursor bugbot):
- `[tool.crewai] # config` is valid TOML but failed exact string equality,
so the fallback appended a second [tool.crewai] header - a redefined table,
also invalid TOML, and silent because get_project_id swallows the resulting
decode error.
- Added _is_table_header(), which tolerates a trailing comment and does not
match similar names such as [tool.crewai-extra].
Writing into malformed TOML (Cursor bugbot, Copilot):
- get_or_create_project_id relied on get_project_id, which cannot distinguish
"no id" from "unparsable file", so it appended to files it could not parse.
- The locked path now parses explicitly and bails on a decode error, and
re-parses the updated content before writing, so this feature can never be
the reason a project's pyproject.toml stops parsing.
Concurrency and atomicity (CodeRabbit major):
- Two CLI processes could both see no id, mint different uuids, and clobber
each other, leaving a caller holding an id that is not on disk. Minting now
takes the existing crewai_core cross-process lock, re-reads under it, and
returns the id that persists.
- Writes go through a temp file in the same directory plus os.replace, so an
interruption cannot truncate pyproject.toml. File mode is copied across, and
the temp file is removed on failure.
- os.replace only needs a writable directory, which would have let an atomic
write silently overwrite a file the user marked read-only; writability is
now checked explicitly so that case still returns None.
Line endings (CodeRabbit):
- Path.read_text/write_text normalized CRLF to LF, so minting would rewrite a
CRLF-committed file entirely. Read and write now use newline="" and the
inserted line ending is derived from the existing content.
Default create path skipped minting (Cursor bugbot):
- `crewai create crew` defaults to create_json_crew; only the --classic and
flow paths minted, so most new projects had no id until a later command.
Wired into create_json_crew as well. Verified all three paths now mint
distinct ids.
Do not mint during login (CodeRabbit major):
- ToolCommand.login ran get_or_create_project_id, which is outside the
sanctioned minting commands and is invoked by `crewai tools create` from a
freshly scaffolded directory before the project is persisted. It now uses
the read-only get_project_id. Verified login leaves pyproject.toml
untouched.
Not applied: Copilot asked for a console message when an id is written, in
create_crew and create_flow. Minting was made deliberately silent in the
previous commit, so the (id, created) tuple and the announcement are both
gone by design.
Tests: 32 in test_project_id.py, up from 18. New cases cover blank and
non-string existing ids, three commented-header forms, similar table names,
malformed input, CRLF and LF preservation, concurrent minting convergence,
file-mode preservation, and temp-file cleanup. Confirmed the header and
duplicate-key tests fail when the fixes are reverted.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UNumDnNbiyw3pv1WakAe6t
* fix: never create [tool.crewai], treat whitespace ids as absent, harden test
`crewai run` could rewrite unrelated projects (Cursor bugbot, high):
- get_or_create_project_id ran before the cwd was established as a CrewAI
project, and _set_project_id appended a [tool.crewai] table when none
existed. Any directory with a pyproject.toml could therefore gain one -
including on `crewai run --definition`, which may otherwise succeed.
- _set_project_id no longer creates the table; it returns None when
[tool.crewai] is absent, so a key is only ever added to a table the project
already declares. The templates all ship the table, so no create path needs
the old fallback.
- The minting call in run_crew moved after the --definition early return, so
an explicit-flow run does not touch the cwd at all.
- Presence is checked, not truthiness: an empty [tool.crewai] is still a
CrewAI marker, and get_crewai_project_config returns {} both for that and
for an absent table.
- Verified an unrelated project's pyproject.toml is byte-identical after a
mint attempt.
Whitespace-only project_id accepted as valid (CodeRabbit):
- `project_id = " "` is truthy, so it was returned as an identity and would
have propagated into login payloads and tracing context. It also meant the
'" "' parameter of the replacement test asserted nothing.
- Added _usable_project_id, which strips before deciding, used by both
get_project_id and the locked mint path.
Concurrency test could hang CI (CodeRabbit, major):
- Neither the barrier nor the joins had timeouts, so a thread dying early or
blocking on the lock would hang the job rather than fail it. The result
count was also unchecked, so a dead thread still passed.
- Added timeouts, an explicit liveness assertion, a result-count assertion, a
lock around the shared result list, and corrected the docstring: this covers
the read-modify-write race with threads, not the cross-process backend.
Tests: 35, up from 32. New coverage for the absent-table refusal and three
whitespace forms; the blank-id replacement case now asserts a real uuid
replaced the blank value.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UNumDnNbiyw3pv1WakAe6t
* chore(deps): force gitpython 3.1.57+ for GHSA-p538-c434-8v24 and GHSA-3f7w-8rr8-f37f
Unrelated to project_id; bundled here only because it blocks this PR's
vulnerability scan. Two advisories were published for gitpython 3.1.55 after
main last passed the scan:
- GHSA-p538-c434-8v24: arbitrary file truncation via `git rev-list --output`
argument injection. Fixed in 3.1.56.
- GHSA-3f7w-8rr8-f37f: unguarded git option forwarding in
IndexFile.checkout() and TagReference. Fixed in 3.1.57.
- Bump the override floor to gitpython>=3.1.57 and declare the same floor in
crewai-tools, so consumers installing the published package are covered and
not only this repo's lock.
- 3.1.57 was published 2026-07-26, past gitpython's exclude-newer-package
cutoff of 2026-07-24, so that cutoff moves to 2026-07-27. Without it the
floor is unresolvable.
pip-audit against the updated lock reports no known vulnerabilities.
Verified gitpython 3.1.57 resolves and that crewai_tools and crewai_cli.git
still import.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UNumDnNbiyw3pv1WakAe6t
---------
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
* chore: bump json-repair to 0.60.1 and un-ignore fixed vulns in scan
- json-repair 0.25.3 -> 0.60.1 (fixes GHSA-xf7x-x43h-rpqh)
- pyOpenSSL already at 26.2.0 in lock (covers CVE-2026-27448, CVE-2026-27459)
- remove the corresponding --ignore-vuln flags from vulnerability-scan.yml
* fix: adapt _safe_repair_json to json-repair 0.60 semantics
json-repair >= 0.60 returns an empty string for plain-text input and
wraps brace-enclosed junk in a single-element list instead of the old
""/{} sentinel values. Treat both as unrepairable so the original
tool input is preserved.
* chore: fix CI - bump gitpython/pyasn1, drop stale type ignores
- gitpython 3.1.50 -> 3.1.52 (GHSA-2f96-g7mh-g2hx, GHSA-v396-v7q4-x2qj,
GHSA-956x-8gvw-wg5v; fixed in 3.1.51)
- pyasn1 0.6.3 -> 0.6.4 (GHSA-8ppf-4f7h-5ppj, GHSA-hm4w-wwcw-mr6r)
- json-repair 0.60 ships type stubs; remove now-unused
type: ignore[import-untyped] comments flagged by mypy
* 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
* Enhance memory reset functionality and JSON crew handling
- Added `reset_all` method to the `Memory` class to reset the entire memory store, ignoring `root_scope`.
- Updated the `Crew` class to utilize `reset_all` when resetting memory.
- Enhanced the `_reset_flow_memory` function to check for `Memory` instances and call `reset_all` accordingly.
- Introduced helper functions to load JSON crew configurations and handle project declarations, improving the reset command's flexibility.
- Added tests to validate the new JSON crew memory reset behavior and ensure proper handling of declared flow projects.
* Fix memory reset review issues
* Bump litellm for security advisory
* Update crewAI CLI with various enhancements and fixes
- Updated `create_json_crew.py` to require `crewai[tools]>=1.14.7`.
- Enhanced `git.py` with improved repository initialization, including automatic initial commit creation and exclusion patterns for initial commits.
- Modified `install_crew.py` to allow error handling during installation with an optional `raise_on_error` parameter.
- Expanded `plus_api.py` to include methods for creating and updating crews from ZIP files.
- Introduced a new `archive.py` for creating deployable ZIP archives of CrewAI projects, ensuring local artifacts are excluded.
- Updated `run_crew.py` to manage JSON crew dependencies and run crews in the project's environment.
- Enhanced deployment logic in `main.py` to handle ZIP uploads and improve user feedback during deployment processes.
- Added tests for new functionalities and ensured existing tests reflect recent changes in behavior and requirements.
* fix(cli): address deploy zip review feedback
* fix(cli): sync missing lockfile before deploy
* fix(cli): preserve remote deploy on git setup warnings
* test(cli): use single deploy main import style
* fix(cli): skip project install for json crew sync
* fix(cli): load json runner from source checkout
* fix(cli): skip json crew sync when locked
* fix(cli): address deploy zip review feedback
* fix(cli): pass env on zip redeploy
* fix(cli): harden json run and zip fallback
* fix(cli): validate before deploy lock install
* fix(cli): respect poetry lock for json runs
* fix(cli): align json zip wrapper detection
* fix(deps): bump starlette audit floor
* fix(cli): avoid auth retry for deploy exits
* fix(cli): update json zip script entrypoints
* fix: resolve pip-audit CVEs for aiohttp, docling, docling-core, pip
- aiohttp 3.13.4 → 3.14.0: fixes GHSA-jg22-mg44-37j8, GHSA-hg6j-4rv6-33pg
- docling 2.84.0 → 2.97.0: fixes GHSA-cjqg-rq2h-2fvj, GHSA-pj2v-ggqh-cmq2,
GHSA-r3xg-rg9j-67fv, GHSA-q29v-xc37-wh5m
- docling-core 2.74.0 → 2.79.0: fixes GHSA-j5xp-7m2f-49jv, GHSA-jmmv-h3mp-59v8
- pip 26.1.1 → 26.1.2: fixes PYSEC-2026-196
docling-core 2.74.1+ requires pydantic-settings>=2.14.0, so the crewai pin
is loosened from ~=2.10.1 to >=2.10.1,<3. pydantic-settings resolves to
2.14.1 in the lock.
* fix: correct aiohttp CVE floor to 3.14.0 (not 3.13.5)
* test: shim AsyncStreamReaderMixin for vcrpy under aiohttp 3.14.0
aiohttp 3.14.0 removed aiohttp.streams.AsyncStreamReaderMixin (folded into
StreamReader). vcrpy's aiohttp stub still subclasses it, so vcr's patch
machinery raised AttributeError at test collection. Restore an equivalent
mixin in conftest before vcr is imported.
* test: rebuild vcrpy MockClientResponse init for aiohttp 3.14.0
aiohttp 3.14.0 added a required stream_writer kwarg to ClientResponse.__init__
and reads stream_writer.output_size when writer is None. vcrpy's
MockClientResponse doesn't pass it, raising TypeError at cassette playback.
Rebuild the super().__init__ call from the live signature (defaulting required
keyword-only args to None, with a stream_writer stub exposing output_size) so
it survives future aiohttp signature additions too.
* test: avoid deprecated get_event_loop in vcrpy aiohttp shim
asyncio.get_event_loop() emits a DeprecationWarning (and can RuntimeError)
when no current loop is set on Python 3.12+. Prefer get_running_loop() (the
real cassette-playback path always has one) and fall back to a single cached
loop in sync contexts, since the mock only stores the loop and calls
get_debug().
* fix: pull docling-core[chunking] so HierarchicalChunker imports
docling 2.97 split into docling-slim, moving the chunker's code-chunking
deps (tree-sitter, semchunk, language grammars) behind docling-core's
[chunking] extra. crewai's knowledge source imports HierarchicalChunker,
whose package __init__ eagerly imports those submodules -> ModuleNotFoundError
('tree_sitter') without the extra. Request docling-core[chunking]; carry the
extra in override-dependencies too, since overrides replace the whole
requirement and would otherwise strip it.
uv 0.11.7 -> 0.11.17 patches GHSA-4gg8-gxpx-9rph. chromadb has no
patched release for GHSA-f4j7-r4q5-qw2c (server-only pre-auth RCE,
not reachable in our embedded use); ignore until upstream ships a fix.
starlette <1.0.1 has PYSEC-2026-161 (missing Host header validation
poisons request.url.path, bypassing path-based auth). Pulled in as a
transitive of fastapi. Override-dependencies forces the patched
version; lock regenerated against starlette 1.0.1.
OSV no longer flags pip 26.1.1 (GHSA-58qw-9mgm-455v) or paramiko
5.0.0 (GHSA-r374-rxx8-8654), so override both to those minimums
and remove the corresponding --ignore-vuln entries. paramiko is
pulled in transitively via composio-core.
* chore(deps): use 3-day exclude-newer window
Aligns the root workspace with the per-package pyprojects, which
already use `exclude-newer = "3 days"`. The fixed 2026-04-27 cutoff
blocks legitimate dependency bumps (e.g. daytona ~=0.171 in #5740)
without adding meaningful protection — the relative window still
includes the security patches that motivated the original pin.
* fix(deps): bump gitpython and python-multipart for new advisories
- gitpython >=3.1.49 for GHSA-v87r-6q3f-2j67 (newline injection in
config_writer().set_value() enables RCE via core.hooksPath).
- python-multipart >=0.0.27 for GHSA-pp6c-gr5w-3c5g (DoS via
unbounded multipart part headers).
Both surfaced via pip-audit on this branch.
* perf: defer MCP SDK import by fixing import path in agent/core.py
- Change 'from crewai.mcp import MCPServerConfig' to direct path
'from crewai.mcp.config import MCPServerConfig' to avoid triggering
mcp/__init__.py which eagerly loads the full mcp SDK (~300-400ms)
- Move MCPToolResolver import into get_mcp_tools() method body since
it's only used at runtime, not in type annotations
Saves ~200ms on 'import crewai' cold start.
* perf: lazy-load heavy MCP imports in mcp/__init__.py
MCPClient, MCPToolResolver, BaseTransport, and TransportType now use
__getattr__ lazy loading. These pull in the full mcp SDK (~400ms) but
are only needed at runtime when agents actually connect to MCP servers.
Lightweight config and filter types remain eagerly imported.
* perf: lazy-load all event type modules in events/__init__.py
Previously only agent_events were lazy-loaded; all other event type
modules (crew, flow, knowledge, llm, guardrail, logging, mcp, memory,
reasoning, skill, task, tool_usage) were eagerly imported at package
init time. Since events/__init__.py runs whenever ANY crewai.events.*
submodule is accessed, this loaded ~12 Pydantic model modules
unnecessarily.
Now all event types use the same __getattr__ lazy-loading pattern,
with TYPE_CHECKING imports preserved for IDE/type-checker support.
Saves ~550ms on 'import crewai' cold start.
* chore: remove UNKNOWN.egg-info from version control
* fix: add MCPToolResolver to TYPE_CHECKING imports
Fixes F821 (ruff) and name-defined (mypy) from lazy-loading the
MCP import. The type annotation on _mcp_resolver needs the name
available at type-check time.
* fix: bump lxml to >=5.4.0 for GHSA-vfmq-68hx-4jfw
lxml 5.3.2 has a known vulnerability. Bump to 5.4.0+ which
includes the fix (libxml2 2.13.8). The previous <5.4.0 pin
was for etree import issues that have since been resolved.
* fix: bump exclude-newer to 2026-04-22 for lxml 6.1.0 resolution
lxml 6.1.0 (GHSA fix) was released April 17 but the exclude-newer
date was set to April 17, missing it by timestamp. Bump to April 22.
* perf: add import time benchmark script
scripts/benchmark_import_time.py measures import crewai cold start
in fresh subprocesses. Supports --runs, --json (for CI), and
--threshold (fail if median exceeds N seconds).
The companion GitHub Action workflow needs to be pushed separately
(requires workflow scope).
* new action
* Potential fix for pull request finding 'CodeQL / Workflow does not contain permissions'
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
---------
Co-authored-by: Joao Moura <joaomdmoura@gmail.com>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
* fix: harden NL2SQLTool — read-only by default, parameterized queries, query validation
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: address CI lint failures and remove unused import
- Remove unused `sessionmaker` import from test_nl2sql_security.py
- Use `Self` return type on `_apply_env_override` (fixes UP037/F821)
- Fix ruff errors auto-fixed in lib/crewai (UP007, etc.)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: expand _WRITE_COMMANDS and block multi-statement semicolon injection
- Add missing write commands: UPSERT, LOAD, COPY, VACUUM, ANALYZE,
ANALYSE, REINDEX, CLUSTER, REFRESH, COMMENT, SET, RESET
- _validate_query() now splits on ';' and validates each statement
independently; multi-statement queries are rejected outright in
read-only mode to prevent 'SELECT 1; DROP TABLE users' bypass
- Extract single-statement logic into _validate_statement() helper
- Add TestSemicolonInjection and TestExtendedWriteCommands test classes
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* ci: retrigger
* fix: use typing_extensions.Self for Python 3.10 compat
* chore: update tool specifications
* docs: document NL2SQLTool read-only default and DML configuration
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: close three NL2SQLTool security gaps (writable CTEs, EXPLAIN ANALYZE, multi-stmt commit)
- Remove WITH from _READ_ONLY_COMMANDS; scan CTE body for write keywords so
writable CTEs like `WITH d AS (DELETE …) SELECT …` are blocked in read-only mode.
- EXPLAIN ANALYZE/ANALYSE now resolves the underlying command; EXPLAIN ANALYZE DELETE
is treated as a write and blocked in read-only mode.
- execute_sql commit decision now checks ALL semicolon-separated statements so
a SELECT-first batch like `SELECT 1; DROP TABLE t` still triggers a commit
when allow_dml=True.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: handle parenthesized EXPLAIN options syntax; remove unused _seed_db
_validate_statement now strips parenthesized options from EXPLAIN (e.g.
EXPLAIN (ANALYZE) DELETE, EXPLAIN (ANALYZE, VERBOSE) DELETE) before
checking whether ANALYZE/ANALYSE is present — closing the bypass where
the options-list form was silently allowed in read-only mode.
Adds three new tests:
- EXPLAIN (ANALYZE) DELETE → blocked
- EXPLAIN (ANALYZE, VERBOSE) DELETE → blocked
- EXPLAIN (VERBOSE) SELECT → allowed
Also removes the unused _seed_db helper from test_nl2sql_security.py.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* chore: update tool specifications
* fix: smarter CTE write detection, fix commit logic for writable CTEs
- Replace naive token-set matching with positional AS() body inspection
to avoid false positives on column names like 'comment', 'set', 'reset'
- Fix execute_sql commit logic to detect writable CTEs (WITH + DELETE/INSERT)
not just top-level write commands
- Add tests for false positive cases and writable CTE commit behavior
- Format nl2sql_tool.py to pass ruff format check
* fix: catch write commands in CTE main query + handle whitespace in AS()
- WITH cte AS (SELECT 1) DELETE FROM users now correctly blocked
- AS followed by newline/tab/multi-space before ( now detected
- execute_sql commit logic updated for both cases
- 4 new tests
* fix: EXPLAIN ANALYZE VERBOSE handling, string literal paren bypass, commit logic for EXPLAIN ANALYZE
- EXPLAIN handler now consumes all known options (ANALYZE, ANALYSE, VERBOSE) before
extracting the real command, fixing 'EXPLAIN ANALYZE VERBOSE SELECT' being blocked
- Paren walker in _extract_main_query_after_cte now skips string literals, preventing
'WITH cte AS (SELECT '\''('\'' FROM t) DELETE FROM users' from bypassing detection
- _is_write_stmt in execute_sql now resolves EXPLAIN ANALYZE to underlying command
via _resolve_explain_command, ensuring session.commit() fires for write operations
- 10 new tests covering all three fixes
* fix: deduplicate EXPLAIN parsing, fix AS( regex in strings, block unknown CTE commands, bump langchain-core
- Refactor _validate_statement to use _resolve_explain_command (single source of truth)
- _iter_as_paren_matches skips string literals so 'AS (' in data doesn't confuse CTE detection
- Unknown commands after CTE definitions now blocked in read-only mode
- Bump langchain-core override to >=1.2.28 (GHSA-926x-3r5x-gfhw)
* fix: add return type annotation to _iter_as_paren_matches
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* chore: update memory management and dependencies
- Enhance the memory system by introducing a unified memory API that consolidates short-term, long-term, entity, and external memory functionalities.
- Update the `.gitignore` to exclude new memory-related files and blog directories.
- Modify `conftest.py` to handle missing imports for vcr stubs more gracefully.
- Add new development dependencies in `pyproject.toml` for testing and memory management.
- Refactor the `Crew` class to utilize the new unified memory system, replacing deprecated memory attributes.
- Implement memory context injection in `LiteAgent` to improve memory recall during agent execution.
- Update documentation to reflect changes in memory usage and configuration.
* feat: introduce Memory TUI for enhanced memory management
- Add a new command to the CLI for launching a Textual User Interface (TUI) to browse and recall memories.
- Implement the MemoryTUI class to facilitate user interaction with memory scopes and records.
- Enhance the unified memory API by adding a method to list records within a specified scope.
- Update `pyproject.toml` to include the `textual` dependency for TUI functionality.
- Ensure proper error handling for missing dependencies when accessing the TUI.
* feat: implement consolidation flow for memory management
- Introduce the ConsolidationFlow class to handle the decision-making process for inserting, updating, or deleting memory records based on new content.
- Add new data models: ConsolidationAction and ConsolidationPlan to structure the actions taken during consolidation.
- Enhance the memory types with new fields for consolidation thresholds and limits.
- Update the unified memory API to utilize the new consolidation flow for managing memory records.
- Implement embedding functionality for new content to facilitate similarity checks.
- Refactor existing memory analysis methods to integrate with the consolidation process.
- Update translations to include prompts for consolidation actions and user interactions.
* feat: enhance Memory TUI with Rich markup and improved UI elements
- Update the MemoryTUI class to utilize Rich markup for better visual representation of memory scope information.
- Introduce a color palette for consistent branding across the TUI interface.
- Refactor the CSS styles to improve the layout and aesthetics of the memory browsing experience.
- Enhance the display of memory entries, including better formatting for records and importance ratings.
- Implement loading indicators and error messages with Rich styling for improved user feedback during recall operations.
- Update the action bindings and navigation prompts for a more intuitive user experience.
* feat: enhance Crew class memory management and configuration
- Update the Crew class to allow for more flexible memory configurations by accepting Memory, MemoryScope, or MemorySlice instances.
- Refactor memory initialization logic to support custom memory configurations while maintaining backward compatibility.
- Improve documentation for memory-related fields to clarify usage and expectations.
- Introduce a recall oversample factor to optimize memory recall processes.
- Update related memory types and configurations to ensure consistency across the memory management system.
* chore: update dependency overrides and enhance memory management
- Added an override for the 'rich' dependency to allow compatibility with 'textual' requirements.
- Updated the 'pyproject.toml' and 'uv.lock' files to reflect the new dependency specifications.
- Refactored the Crew class to simplify memory configuration handling by allowing any type for the memory attribute.
- Improved error messages in the CLI for missing 'textual' dependency to guide users on installation.
- Introduced new packages and dependencies in the project to enhance functionality and maintain compatibility.
* refactor: enhance thread safety in flow management
- Updated LockedListProxy and LockedDictProxy to subclass list and dict respectively, ensuring compatibility with libraries requiring strict type checks.
- Improved documentation to clarify the purpose of these proxies and their thread-safe operations.
- Ensured that all mutations are protected by locks while reads delegate to the underlying data structures, enhancing concurrency safety.
* chore: update dependency versions and improve Python compatibility
- Downgraded 'vcrpy' dependency to version 7.0.0 for compatibility.
- Enhanced 'uv.lock' to include more granular resolution markers for Python versions and implementations, ensuring better compatibility across different environments.
- Updated 'urllib3' and 'selenium' dependencies to specify versions based on Python implementation, improving stability and performance.
- Removed deprecated resolution markers for 'fastembed' and streamlined its dependencies for better clarity.
* fix linter
* chore: update uv.lock for improved dependency management and memory management enhancements
- Incremented revision number in uv.lock to reflect changes.
- Added a new development dependency group in uv.lock, specifying versions for tools like pytest, mypy, and pre-commit to streamline development workflows.
- Enhanced error handling in CLI memory functions to provide clearer feedback on missing dependencies.
- Refactored memory management classes to improve type hints and maintainability, ensuring better compatibility with future updates.
* fix tests
* refactor: remove obsolete RAGStorage tests and clean up error handling
- Deleted outdated tests for RAGStorage that were no longer relevant, including tests for client failures, save operation failures, and reset failures.
- Cleaned up the test suite to focus on current functionality and improve maintainability.
- Ensured that remaining tests continue to validate the expected behavior of knowledge storage components.
* fix test
* fix texts
* fix tests
* forcing new commit
* fix: add location parameter to Google Vertex embedder configuration for memory integration tests
* debugging CI
* adding debugging for CI
* refactor: remove unnecessary logging for memory checks in agent execution
- Eliminated redundant logging statements related to memory checks in the Agent and CrewAgentExecutor classes.
- Simplified the memory retrieval logic by directly checking for available memory without logging intermediate states.
- Improved code readability and maintainability by reducing clutter in the logging output.
* udpating desp
* feat: enhance thread safety in LockedListProxy and LockedDictProxy
- Added equality comparison methods (__eq__ and __ne__) to LockedListProxy and LockedDictProxy to allow for safe comparison of their contents.
- Implemented consistent locking mechanisms to prevent deadlocks during comparisons.
- Improved the overall robustness of these proxy classes in multi-threaded environments.
* feat: enhance memory functionality in Flows documentation and memory system
- Added a new section on memory usage within Flows, detailing built-in methods for storing and recalling memories.
- Included an example of a Research and Analyze Flow demonstrating the integration of memory for accumulating knowledge over time.
- Updated the Memory documentation to clarify the unified memory system and its capabilities, including adaptive-depth recall and composite scoring.
- Introduced a new configuration parameter, `recall_oversample_factor`, to improve the effectiveness of memory retrieval processes.
* update docs
* refactor: improve memory record handling and pagination in unified memory system
- Simplified the `get_record` method in the Memory class by directly accessing the storage's `get_record` method.
- Enhanced the `list_records` method to include an `offset` parameter for pagination, allowing users to skip a specified number of records.
- Updated documentation for both methods to clarify their functionality and parameters, improving overall code clarity and usability.
* test: update memory scope assertions in unified memory tests
- Modified assertions in `test_lancedb_list_scopes_get_scope_info` and `test_memory_list_scopes_info_tree` to check for the presence of the "/team" scope instead of the root scope.
- Clarified comments to indicate that `list_scopes` returns child scopes rather than the root itself, enhancing test clarity and accuracy.
* feat: integrate memory tools for agents and crews
- Added functionality to inject memory tools into agents during initialization, enhancing their ability to recall and remember information mid-task.
- Implemented a new `_add_memory_tools` method in the Crew class to facilitate the addition of memory tools when memory is available.
- Introduced `RecallMemoryTool` and `RememberTool` classes in a new `memory_tools.py` file, providing agents with active recall and memory storage capabilities.
- Updated English translations to include descriptions for the new memory tools, improving user guidance on their usage.
* refactor: streamline memory recall functionality across agents and tools
- Removed the 'depth' parameter from memory recall calls in LiteAgent and Agent classes, simplifying the recall process.
- Updated the MemoryTUI to use 'deep' depth by default for more comprehensive memory retrieval.
- Enhanced the MemoryScope and MemorySlice classes to default to 'deep' depth, improving recall accuracy.
- Introduced a new 'recall_queries' field in QueryAnalysis to optimize semantic vector searches with targeted phrases.
- Updated documentation and comments to reflect changes in memory recall behavior and parameters.
* refactor: optimize memory management in flow classes
- Enhanced memory auto-creation logic in Flow class to prevent unnecessary Memory instance creation for internal flows (RecallFlow, ConsolidationFlow) by introducing a _skip_auto_memory flag.
- Removed the deprecated time_hints field from QueryAnalysis and replaced it with a more flexible time_filter field to better handle time-based queries.
- Updated documentation and comments to reflect changes in memory handling and query analysis structure, improving clarity and usability.
* updates tests
* feat: introduce EncodingFlow for enhanced memory encoding pipeline
- Added a new EncodingFlow class to orchestrate the encoding process for memory, integrating LLM analysis and embedding.
- Updated the Memory class to utilize EncodingFlow for saving content, improving the overall memory management and conflict resolution.
- Enhanced the unified memory module to include the new EncodingFlow in its public API, facilitating better memory handling.
- Updated tests to ensure proper functionality of the new encoding flow and its integration with existing memory features.
* refactor: optimize memory tool integration and recall flow
- Streamlined the addition of memory tools in the Agent class by using list comprehension for cleaner code.
- Enhanced the RecallFlow class to build task lists more efficiently with list comprehensions, improving readability and performance.
- Updated the RecallMemoryTool to utilize list comprehensions for formatting memory results, simplifying the code structure.
- Adjusted test assertions in LiteAgent to reflect the default behavior of memory recall depth, ensuring clarity in expected outcomes.
* Potential fix for pull request finding 'Empty except'
Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>
* chore: gen missing cassette
* fix
* test: enhance memory extraction test by mocking recall to prevent LLM calls
Updated the test for memory extraction to include a mock for the recall method, ensuring that the test focuses on the save path without invoking external LLM calls. This improves test reliability and clarity.
* refactor: enhance memory handling by adding agent role parameter
Updated memory storage methods across multiple classes to include an optional `agent_role` parameter, improving the context of stored memories. Additionally, modified the initialization of several flow classes to suppress flow events, enhancing performance and reducing unnecessary event triggers.
* feat: enhance agent memory functionality with recall and save mechanisms
Implemented memory context injection during agent kickoff, allowing for memory recall before execution and passive saving of results afterward. Added new methods to handle memory saving and retrieval, including error handling for memory operations. Updated the BaseAgent class to support dynamic memory resolution and improved memory record structure with source and privacy attributes for better provenance tracking.
* test
* feat: add utility method to simplify tools field in console formatter
Introduced a new static method `_simplify_tools_field` in the console formatter to transform the 'tools' field from full tool objects to a comma-separated string of tool names. This enhancement improves the readability of tool information in the output.
* refactor: improve lazy initialization of LLM and embedder in Memory class
Refactored the Memory class to implement lazy initialization for the LLM and embedder, ensuring they are only created when first accessed. This change enhances the robustness of the Memory class by preventing initialization failures when constructed without an API key. Additionally, updated error handling to provide clearer guidance for users on resolving initialization issues.
* refactor: consolidate memory saving methods for improved efficiency
Refactored memory handling across multiple classes to replace individual memory saving calls with a batch method, `remember_many`, enhancing performance and reducing redundancy. Updated related tools and schemas to support single and multiple item memory operations, ensuring a more streamlined interface for memory interactions. Additionally, improved documentation and test coverage for the new functionality.
* feat: enhance MemoryTUI with improved layout and entry handling
Updated the MemoryTUI class to incorporate a new vertical layout, adding an OptionList for displaying entries and enhancing the detail view for selected records. Introduced methods for populating entry and recall lists, improving user interaction and data presentation. Additionally, refined CSS styles for better visual organization and focus handling.
* fix test
* feat: inject memory tools into LiteAgent for enhanced functionality
Added logic to the LiteAgent class to inject memory tools if memory is configured, ensuring that memory tools are only added if they are not already present. This change improves the agent's capability to utilize memory effectively during execution.
* feat: add synchronous execution method to ConsolidationFlow for improved integration
Introduced a new `run_sync()` method in the ConsolidationFlow class to facilitate procedural execution of the consolidation pipeline without relying on asynchronous event loops. Updated the EncodingFlow class to utilize this method for conflict resolution, ensuring compatibility within its async context. This change enhances the flow's ability to manage memory records effectively during nested executions.
* refactor: update ConsolidationFlow and EncodingFlow for improved async handling
Removed the synchronous `run_sync()` method from ConsolidationFlow and refactored the consolidate method in EncodingFlow to be asynchronous. This change allows for direct awaiting of the ConsolidationFlow's kickoff method, enhancing compatibility within the async event loop and preventing nested asyncio.run() issues. Additionally, updated the execution plan to listen for multiple paths, streamlining the consolidation process.
* fix: update flow documentation and remove unused ConsolidationFlow
Corrected the comment in Flow class regarding internal flows, replacing "ConsolidationFlow" with "EncodingFlow". Removed the ConsolidationFlow class as it is no longer needed, streamlining the memory handling process. Updated related imports and ensured that the memory module reflects these changes, enhancing clarity and maintainability.
* feat: enhance memory handling with background saving and query analysis optimization
Implemented a background saving mechanism in the Memory class to allow non-blocking memory operations, improving performance during high-load scenarios. Added a query analysis threshold to skip LLM calls for short queries, optimizing recall efficiency. Updated related methods and documentation to reflect these changes, ensuring a more responsive and efficient memory management system.
* fix test
* fix test
* fix: handle synchronous fallback for save operations in Memory class
Updated the Memory class to implement a synchronous fallback mechanism for save operations when the background thread pool is shut down. This change ensures that late save requests still succeed, improving reliability in memory management during shutdown scenarios.
* feat: implement HITL learning features in human feedback decorator
Added support for learning from human feedback in the human feedback decorator. Introduced parameters to enable lesson distillation and pre-review of outputs based on past feedback. Updated related tests to ensure proper functionality of the learning mechanism, including memory interactions and default LLM usage.
---------
Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
- add input_files parameter to Crew.kickoff(), Flow.kickoff(), Task, and Agent.kickoff()
- add provider-specific file uploaders for OpenAI, Anthropic, Gemini, and Bedrock
- add file type detection, constraint validation, and automatic format conversion
- add URL file source support for multimodal content
- add streaming uploads for large files
- add prompt caching support for Anthropic
- add OpenAI Responses API support
