crewAI 1.15.2: LLM Model Fetching, Flow Authoring, and Bug Fixes
sdkaiengineermediapython-agentic
feature patch
This release of crewAI introduces dynamic LLM model fetching in the crew wizard and support for inline skill definitions, enhancing agent flexibility. It also includes bug fixes addressing input resolution, security vulnerabilities, and documentation updates for flow agent options. These changes primarily benefit developers and architects building AI-powered agent applications.
- →Pull latest LLM models dynamically in the crew wizard
- →Support inline skill definitions
- →Add generated Flow Definition authoring skill
- →Support templated Flow action inputs
- →Add text helper for flow CEL prompts
Features (11) ›
- Pull latest LLM models dynamically in the crew wizard
- Support inline skill definitions
- Add generated Flow Definition authoring skill
- Support templated Flow action inputs
- Add text helper for flow CEL prompts
- Add text helper to flow skill example
- Implement message setup and feedback handling in AgentExecutor
- Add repository agents to flow definitions
- Define stream frame protocol for flows
- Type tool and app in CrewDefinition
- Repoint template commands to crewAIInc-fde org
Fixes (7) ›
- Key model-catalog cache by exact API key, shorten TTL, and skip Ollama
- Unify crewai run flow input resolution and prompt from the state schema
- Resolve pip-audit failures for onnx 1.22.0 and nltk PYSEC-2026-597
- Ensure we are writing version for flows
- Include aiobotocore in the bedrock extra
- Reject self-listening flow methods
- Cut docs version nav from Edge so new pages aren't dropped
Maintenance (5) ›
- Update language from Rules to Policies to match new dashboard changes
- Document flow agent options
- Add streaming docs to the navigation
- Document Cost Limit rule type in Agent Control Plane
- Drop CREWAI_LOG_FORMAT references from Datadog guide
Read the original announcement →
https://github.com/crewAIInc/crewAI/releases/tag/1.15.2
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