* feat: add conversational flows documentation and chat session support
- Introduced a new guide for building multi-turn chat applications using , detailing session management and message handling.
- Added class to facilitate chat interactions, including streaming support and event handling.
- Implemented for class-level defaults and improved input normalization for conversational turns.
- Enhanced event listeners to manage flow events and tracing more effectively, including support for nested crew executions.
- Added tests for conversational flow helpers and kickoff parameters to ensure functionality and reliability.
* linted
* feat: enhance flow event tracing and session management
- Updated TraceCollectionListener to handle nested flows without re-claiming parent session batches.
- Ensured that method execution events are always emitted for tracing, regardless of flow event suppression.
- Improved finalization logic for flow trace batches to respect session deferral flags.
- Added tests to verify that method execution events are emitted correctly when flow events are suppressed and that deferred session finalization is respected in nested flows.
* updated docs
* feat: introduce experimental conversational flow framework
- Added a new module for conversational flow, including classes for managing conversation state, messages, and events.
- Implemented and for structured intent handling and routing.
- Enhanced the class to support turn-oriented conversational applications with built-in routing and message handling.
- Updated to include new classes in the public API.
- Added tests to validate the functionality of the new conversational flow features.
* handled docs
* feat(flow): enhance conversational flow handling and tracing
- Introduced support for deferred multi-turn tracing to maintain continuous event sequences.
- Updated method to delegate to restored checkpoint flows, improving session management.
- Added tests to validate the new tracing behavior and ensure correct event handling in conversational flows.
* fix multimodal test
* better conversational
* adjusted prompt
* drop unused
* fix test
* refactor: rename to and update related documentation
This commit refactors the class to for clarity and consistency across the codebase. The documentation has been updated to reflect this change, ensuring that references to the new class are accurate. Additionally, the alias for legacy imports is maintained for backward compatibility. The changes enhance the overall structure and readability of the conversational flow implementation.
* fix test
* adding experimetnal indicators
* fix test and reloaded cassettes
* cleanup ConversationalFlow class
* addressing double finalization and fixed tests
* improve on emphemeral tracing and adddressing comments
* Handle Snowflake Claude stringified tool calls
* Fix Snowflake tool id type narrowing
* Extract Snowflake tool result text in summaries
* Bump PyJWT for vulnerability scan
---------
Co-authored-by: João Moura <joaomdmoura@gmail.com>
* docs: add Databricks integration guide to enterprise integrations
Add documentation for connecting CrewAI agents to Databricks via the
Databricks managed MCP servers. Highlights Genie, Databricks SQL, Unity
Catalog Functions, and Vector Search, each configured as a separate MCP
connection, and covers OAuth/PAT setup. Includes ko, pt-BR, and ar
translations and registers the page in all docs.json navigation blocks.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix: use locale-specific slugs for Databricks nav entries
Add databricks integration entries to pt-BR, ko, and ar nav blocks
using locale-specific prefixes instead of only having en/ entries.
Co-authored-by: Luzk <2128595+Luzk@users.noreply.github.com>
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Iris <iris@crewai.com>
Co-authored-by: Luzk <2128595+Luzk@users.noreply.github.com>
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
The previous discard-after-body approach cleared the gate mid-wave, so
a slow parallel @start finishing after the listener body could re-fire
the same multi-source or_ listener. Re-arm only when a router emits a
signal that matches the listener's condition; parallel @start paths
never reach that branch and the race gate keeps protecting them.
Closes#5972
This commit separates the monolithic `flow.py` into three modules, each
with one job:
- `dsl.py` - the Python DSL for flows (@start/@listen/@router, or_/and_)
- `flow_definition.py` - the structural model extracted from the DSL
- `runtime.py` - the execution engine and state for flows
This phase moves code only and should not have any breaking changes.
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.
* docs: add Snowflake integration guide to enterprise integrations
Add documentation for connecting CrewAI agents to Snowflake via the
Snowflake-managed MCP server. Highlights Cortex Analyst, Cortex Search,
and SQL execution, and covers OAuth/PAT setup. Registers the page in
all docs.json navigation blocks.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs: add Snowflake integration page for ko, ar, pt-BR
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Iris Clawd <iris@crewai.com>
Moves the registry/cache pieces of PR #5867 under crewai.experimental.skills
and the CLI commands under `crewai experimental skill`. The stable local-file
skills feature (loader, parser, validation, models) stays in crewai.skills.
Both entry points now require CREWAI_EXPERIMENTAL=1:
- resolve_registry_ref() calls require_experimental_skills() before resolving
- The `crewai experimental` CLI group raises UsageError when the flag is unset
SkillDownloadStarted/CompletedEvent move out of crewai.events.types.skill_events
into crewai.experimental.skills.events.
* refactor(skills): move 'version' off SkillFrontmatter into metadata
The skill version is now stored as `metadata.version` rather than a
top-level field on `SkillFrontmatter`. A `before` validator lifts any
top-level YAML `version:` into `metadata['version']` so existing SKILL.md
files keep parsing.
- Adds an <Info> "ACP (Beta) Docs Navigation" block at the top of every
Agent Control Plane page so readers can jump between Overview,
Monitoring, and Rules without scrolling to the bottom-of-page Related
cards.
* feat: enhance StdioTransport to prevent environment variable leakage
- Replaced os.environ.copy() with get_default_environment() to ensure only allowed environment variables are passed to the MCP server.
- Added tests to verify that ambient environment variables do not leak and that user-supplied environment variables can override defaults.
* feat: add environment variable filtering hook to StdioTransport
- Introduced an optional `_env_filter_hook` to allow extensions to modify the environment variables passed to MCP servers, enabling features like credential stripping.
- Updated tests to ensure the filtering hook is applied correctly after merging user-supplied and default environment variables.
* Fix structured output leaks in tool-calling loops
* addressing comments
* drop scripts
* Update Gemini agent tests to include structured output with thoughts and bump model version to 2.5-flash
* merge
* Update Anthropic test cases to use new model and tool structure
- Changed the model from "claude-3-5-haiku-20241022" to "claude-sonnet-4-6" in the test setup.
- Updated the request and response formats in the YAML test cassette to reflect the new tool structure and improved content formatting.
- Adjusted the expected response body to match the new output format from the assistant, including changes in tool usage and response details.
- Increased rate limit values in the response headers for better testing scenarios.
* adjusted bedrock cassettes
* adjusting cassettes for bedrock
* fix test
* Update VCR configuration to use 'host' instead of 'bedrock_host' for request matching
* docs: document one-time admin package install step
The previous revision described a manual "install in Salesforce first,
then connect from AMP" flow that nobody actually follows, and linked to
a private repo customers can't access.
* docs: point Integrations link at crewai_plus/unified_tools
* docs: split Agent Control Plane into Overview/Monitoring/Rules and localize
Mirror the secrets-manager folder convention for ACP: one folder per
locale with overview, monitoring, and rules pages. Replaces the two
flat agent-control-plane.mdx / agent-control-plane-rules.mdx files
with a 3-page layout, adds full translations for pt-BR, ko, and ar,
and rewires docs.json to register the new paths under each locale's
Manage group across the same 4 versions where ACP already lived.
* docs: flag Agent Control Plane as Beta in overview pages
Add a Beta callout right after the lead screenshot on the ACP
overview page across en, pt-BR, ko, and ar, matching the convention
used by Secrets Manager.
* feat(planning): enhance planning configuration and observation handling
- Introduced attribute in to control LLM calls after each step.
- Updated to set default to 1 when planning is enabled without explicit config.
- Modified to support heuristic observations when LLM calls are disabled.
- Adjusted to respect and settings for step observations.
- Added tests to verify behavior of new configurations and ensure correct observation handling across different reasoning efforts.
* fix(agent_executor): update handling of failed steps in low effort mode
- Adjusted logic to ensure that failed steps are recorded without marking them as completed when using low reasoning effort.
- Introduced feedback for failed steps, allowing the process to continue while tracking failures.
- Added a test to verify that failed steps are correctly marked without triggering a replan.
- And linted
* linted
Every agent kickoff calls _use_trained_data, which calls
CrewTrainingHandler(...).load(). Since #4827 wrapped load() in store_lock,
that means every kickoff acquires the cross-process (Redis-backed when
REDIS_URL is set) lock even on deployments that never train and have no
trained-agents file on disk.
Move the missing/empty-file short-circuit above store_lock so the lock is
only acquired when there is actually a file to read. save() and the real
read remain locked.
- callable_to_string returns None for lambdas/closures instead of an
unresolvable dotted path; Crew filters Nones out of restored callback
lists.
- EventNode.event serializer honors info.mode so mode='json' calls cascade
properly into nested event payloads.
- RagTool.adapter serializes to None (post-validator rebuilds from
config); concrete adapters hold runtime state that can't be round-tripped.
Move scope restoration from Crew-level global push to a per-task push
inside Task via resume_task_scope() in event_context. Fixes orphan
task_started warning, hierarchical resume (manager_agent now eligible
for _resuming), and parallel async resume (each contextvars copy owns
its own scope). Tests added.
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.
llm and prompt were declared required with exclude=True, making the
model un-restorable from its own serialized output. Mirror the
CrewAgentExecutor pattern: make them nullable with default None, keep
exclude=True, and re-attach llm on the resume path alongside the other
re-attached fields. Guard the two prompt-deref sites so the runtime
invariant survives the looser type.
* ci: pin third-party actions to commit SHAs
Pin third-party GitHub Actions in workflow files to immutable 40-char
commit SHAs per the org security policy. Mutable refs like @v4 can be
silently re-pointed by a compromised upstream; SHAs cannot. Trailing
version comments let Dependabot/Renovate continue to manage updates.
Related to [COR-51](https://linear.app/crewai/issue/COR-51).
* ci: disable persist-credentials in pip-audit checkout
Address CodeRabbit feedback on PR #5869: the pip-audit workflow is
read-only and never needs an authenticated git context, so opt out of
persisting the GITHUB_TOKEN in the local git config per the
actions/checkout security guidance.
* feat(tools): declare env_vars on DatabricksQueryTool
Add EnvVar import and env_vars field to DatabricksQueryTool so the host
UI knows which environment variables the tool requires. Both auth paths
(DATABRICKS_HOST+TOKEN or DATABRICKS_CONFIG_PROFILE) are marked
required=False with descriptions explaining the alternative.
* chore: update tool specifications
---------
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
