* feat(crewai-tools): add db2 search tool
* refactor(crewai-tools): improve db2 search tool implementation
* feat(tools): improve DB2VectorSearchTool validation, security, and configurability
* docs: add DB2SearchTool documentation
* feat: add DB2 search tool
* docs: update DB2SearchTool documentation
* fix: address CodeRabbit review feedback
* fix: validate non-empty filter_by in DB2ToolSchema
* chore: trigger CodeRabbit re-review
* feat: fortify DB2 tool; fixed JSON response shape, added input guards and config validation
* refactor(db2): replace DB2Config with connection_string field
* refactor(db2): remove dead _setup_db2 validator and importlib import
* refactor(db2): remove dead guard in _connect as _disconnect() is called at the end of every
_run, so self.connection is always None when _connect is called next.
The 'if not self.connection' guard was dead code.
* fix(db2): tighten _validate_identifier regex. Old regex allowed leading digits, multiple periods and dot-only strings (e.g. '.....' passed).
* fix(db2): replace __import__ with importlib.import_module in _generate_embedding as keeping openai as a lazy optional import since it is not always required.
* perf(db2): cache OpenAI client in _openai_client to avoid re-instantiation as OpenAI(api_key=...) was recreated on every _generate_embedding call. Extract into _get_openai_client() which lazily initialises and caches self._openai_client on first use, reusing it for all subsequent queries.
* docs(db2): clarify tool description to mention embedding fallback
* docs(db2): update README supported features to clarify embedding behaviour. 'OpenAI embedding fallback' implied it was
optional. Replaced with 'Uses a custom embedding function if supplied,
otherwise OpenAI embeddings.'
* updated both code examples to use the correct import path and public run() method.
* feat(crewai-tools): add db2 search tool
* refactor(crewai-tools): improve db2 search tool implementation
* feat(tools): improve DB2VectorSearchTool validation, security, and configurability
* docs: add DB2SearchTool documentation
* feat: add DB2 search tool
* docs: update DB2SearchTool documentation
* fix: address CodeRabbit review feedback
* fix: validate non-empty filter_by in DB2ToolSchema
* chore: trigger CodeRabbit re-review
* feat: fortify DB2 tool; fixed JSON response shape, added input guards and config validation
* fix(db2): address ruff and mypy linter errors
* style(db2): apply ruff format to db2_search_tool.py
* fix(db2-search-tool): address PR review comments
- Restore DirectoryReadTool export accidentally removed; add DB2VectorSearchTool
and DB2ToolSchema to crewai_tools.tools __init__ and __all__
- Align _ALLOWED_METRICS whitelist with Db2 VECTOR_DISTANCE API:
replace DOT_PRODUCT/L2_DISTANCE with EUCLIDEAN_SQUARED/DOT/HAMMING/MANHATTAN
- Replace ImportString fields for db2_package/db2_dbi_package with plain Any +
lazy importlib.import_module in new _resolve_db2_packages() to avoid Pydantic
default-validation gap where strings were never resolved at construction time
- Move docs from frozen docs/v1.13.0/ snapshot to docs/edge/en/tools/database-data/
and register in docs/docs.json; update examples to match actual API
(connection_string constructor, not DB2Config), correct return format, and
align documented distance metrics with the whitelist
* fix(db2-search-tool): resolve default and string db2 package imports dynamically
* fix(db2-search-tool): export DB2VectorSearchTool and DB2ToolSchema from package-level crewai_tools
* docs(db2-search-tool): fix installation command and import path in README
---------
Co-authored-by: priyanshu-krishnan1 <priyanshu.krishnan1@ibm.com>
Co-authored-by: GeetikaChugh24 <geetika@ibm.com>
Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
Co-authored-by: Dhruv Chaturvedi <dhruv_insights@Dhruvs-MacBook-Pro.local>
* feat(tools): add WaitTool for pausing on long-running jobs
Agents that kick off out-of-band work (a sandbox build, a deployment, an
async API job) have no way to let clock time pass: they either poll in a
tight loop or give up before the work finishes.
WaitTool pauses for a given number of seconds, with an optional reason
echoed back for traces. A single call waits at most max_seconds (default
300, configurable). Longer requests are clamped to the cap and the result
says so, so the model calls again rather than failing. Sync and async
execution are both implemented; stdlib only, no new dependencies.
The tool description spells out when to reach for it (builds, deploys,
batch jobs, async polling, backoff) and when not to, so models pick it up
for the right reason.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* fix(tools): enforce non-negative wait on positional calls, fix doc snippets
BaseTool.run() skips args_schema validation when called with positional
arguments, so tool.run(-5) reached time.sleep(-5) and failed with an
unrelated error. _resolve_duration now enforces the seconds >= 0 contract
itself, covered for both run() and arun().
Docs and README examples are now self-contained: check_build_status_tool
is defined with the @tool decorator instead of referenced out of nowhere,
and the async example awaits inside asyncio.run() rather than at top level.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* docs: point the wait tool card at the edge path
Unprefixed links resolve against the default docs version (v1.15.7),
where the wait tool page does not exist, so the card 404'd in the broken
link check. Prefixing with /edge matches how other edge pages link.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* fix(tools): never cache waits and keep the advertised cap accurate
Two issues from review, both confirmed against the code.
Waits inherited the default cache_function, which always allows caching.
With crew cache enabled, a repeat call with the same arguments returned
"Waited N seconds." straight from the cache without sleeping, turning a
poll-wait-check loop into a busy loop. WaitTool now declares a
cache_function that always refuses.
The description advertising the cap was only rebuilt when max_seconds
reached __init__ without an explicit description. Passing both (as a
platform building from tool.specs.json init params would), calling
model_validate, or assigning max_seconds left the text claiming 300
seconds while clamping to something else. A model_validator now derives
the description from max_seconds on construction, validation, and
assignment, and leaves a caller-supplied description untouched.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* fix(tools): reject NaN waits and pluralize single-second results
_resolve_duration now rejects NaN with its own message instead of letting
time.sleep raise "Invalid value NaN (not a number)" from a positional
call. Infinity keeps clamping to the cap like any other oversized wait.
Result and description text no longer says "1 seconds". Tests use the
public WaitTool().description as the baseline rather than reaching for
module-private helpers.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
* 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(crewai-tools): add highlights to ExaSearchTool, rename from EXASearchTool
- Add a highlights init param so agents can get token-efficient excerpts instead of full pages
- Rename EXASearchTool to ExaSearchTool; keep EXASearchTool as a deprecated alias so existing imports keep working
- Update the docs and example to use highlights as the recommended option
- Add a small note that says Exa is the fastest and most accurate web search API
- Add tests for the new highlights param and the deprecation alias
* fix(crewai-tools): import order and module-level Exa for tests
- Reorder std-lib imports so ruff is happy with force-sort-within-sections.
- Import Exa at module level (with a fallback) so the existing test mocks resolve.
The lazy install prompt still works if exa_py is missing.
- Allow content and summary to be a dict, matching highlights.
- Trim test file to the cases this PR introduces (highlights param and the
EXASearchTool deprecation alias). Existing init-shape tests stay.
Co-Authored-By: ishan <ishan@exa.ai>
* chore(crewai-tools): drop self-explanatory comment on schema alias
Co-Authored-By: ishan <ishan@exa.ai>
* docs(crewai-tools): default highlights to True, drop summary from examples
Co-Authored-By: ishan <ishan@exa.ai>
* docs(crewai-tools): simplify highlights examples to highlights=True
Co-Authored-By: ishan <ishan@exa.ai>
* feat(crewai-tools): add x-exa-integration header for usage tracking
Co-Authored-By: ishan <ishan@exa.ai>
* docs(crewai-tools): add Exa MCP section and resources links
Co-Authored-By: ishan <ishan@exa.ai>
---------
Co-authored-by: ishan <ishan@exa.ai>
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
* Add Tavily Research and get Research
- Added tavily research with docs to crew AI
- Added tavily get research with docs to crew AI
* Update `tavily-python` installation instructions and adjust version constraints
- Changed installation command from `pip install` to `uv add` for `tavily-python` in multiple documentation files.
- Updated version constraint for `tavily-python` in `pyproject.toml` from `>=0.7.14` to `~=0.7.14`.
- Modified the `exclude-newer` date in `uv.lock` to `2026-04-23T07:00:00Z`.
* Add Tavily Research Tool documentation in multiple languages
- Introduced `TavilyResearchTool` documentation in English, Arabic, Korean, and Portuguese.
- Updated `docs.json` to include paths for the new documentation files.
- The `TavilyResearchTool` allows CrewAI agents to perform multi-step research tasks and generate cited reports using the Tavily Research API.
* Fix Tavily research CI failures
---------
Co-authored-by: lorenzejay <lorenzejaytech@gmail.com>
Co-authored-by: Evan Rimer <evan.rimer@tavily.com>
Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
