Releasesby IbisCrewAI 1.15.29
UpdateyesterdayUnverifiedAdded Oct 24, 2026
Features Add support for LiteLLM-compatible kwargs. Implement platform application search in CLI. Highlight action picker search in CLI. Trace conversation routes and public replies in flow. Select organization during login in CLI. Add offline jev routing and guardrail evaluation runner. Run integration app actions directly with call: tool.
Topics: AI agents, Vector search, Governance, Notebooks, Observability
More CrewAI releases
Every CrewAI releaseCrewAI 1.15.30
CrewAI 1.15.30 includes a bug fix for the agent login process during evaluation.
CrewAI 1.15.28
Features Add crewai eval command to report where a stopped model broke. Use LiteLLM catalog for context windows. Bug Fixes Fix flow to learn from resumed human feedback and preserve reviewed output types. Warn when non-empty apps resolve to zero platform tools. Fix flow add-crew to correctly find the package from pyproject.
CrewAI 1.15.27
Features Add XPU to OpenCLIP provider device options Add deepinfra as an OpenAI-compatible provider Record why an evaluation stopped before its verdict Record what the run app's Deploy met before an attempt Implement per-run cost and time tracking in crewai eval --models without repeated progress lines Bug Fixes Fix issue where stopSequences were sent to...
CrewAI 1.15.26
Bug Fixes Fix ownership retention of rwlock when acquisition is interrupted. Resolve issue with documentation site source URLs not being preserved. Fix task output display in log-tasks-outputs to show actual output. Documentation Update snapshot and changelog for version v1.15.25.
CrewAI 1.15.25
Documentation Snapshot and changelog for v1.15.24 Contributors @lorenzejay
CrewAI 1.15.24
Features Add crewai eval to print a markdown brief when run by an agent Queue relevant background replies Add experimental turn and reply identities Add Oracle Integrations Add experimental job lifecycle and runner Add crewai eval --models, and llm_overlay to swap models as well as roles Bug Fixes Fix train filename error message in CLI Allow a start step...
CrewAI 1.15.23
Features Add support for native Gemini 3.8 Flash Implement evaluation of the last traced run through AMP in crewai eval Record the last traced run for crewai eval instead of printing it Improve platform integration setup UX Prioritize popular platform integrations Enhance tracing task spans to include declared output format and results Bug Fixes Fix...
CrewAI 1.15.22
Features Support aliases as connection identifiers Record reasons for deployment creation failures Collect human feedback and pause events in tracing Add llm_overlay context variable to route agent roles to models Carry task_prompt and output in agent execution payloads Validate platform integrations during crew setup Add platform tools to JSON crew wizard...
Also shipped on Oct 23, 2026
CrewAI in October 2026Retrieve Cortex Search (Public Preview)
The CORTEX_SEARCH_RETRIEVE table function is now in public preview, allowing users to execute low-latency search queries directly from SQL for RAG and chatbot applications.
DataFrame caching on serverless compute is now in Public Preview
Databricks now supports DataFrame caching on serverless compute via df.cache() or df.persist(), allowing users to reuse results within a session.
Box Audit Logs managed ingestion connector (Beta)
The Box Audit Logs connector for Lakeflow Connect is now available in beta, enabling the ingestion of enterprise audit events into Databricks.
Manage Test Engine workflows with Terraform and the REST API
Users can now manage Test Engine workflows using the buildkite_test_suite_workflow Terraform resource or the REST API, enabling code-based configuration of monitors and actions.
Flagship - Target Flagship feature flags with structured evaluation context
Flagship now supports nested objects and arrays in evaluation context, allowing developers to target feature flags based on complex user profiles and tags.
Responses API for the Cortex REST API (Preview)
The new Responses API in the Cortex REST API provides OpenAI-compatible endpoints for accessing models.