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andre:main
andre:devin/1765876359-fix-chromadb-pydantic-v1-v2-compatibility
andre:devin/1765874327-fix-gemini-empty-response
andre:gl/feat/tool-call-stream-events
andre:devin/1765850388-fix-github-search-tool-private-repos
andre:dependabot/uv/boto3-stubs-bedrock-runtime--1.42.9
andre:dependabot/uv/vcrpy-8.1.0
andre:dependabot/uv/ruff-0.14.9
andre:devin/1765619895-fix-openai-version-constraint
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andre:devin/1765443091-azure-ad-token-auth
andre:devin/1765431039-fix-tool-arguments-json-format
andre:devin/1765428346-fix-windows-signal-compatibility
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andre:lorenze/improve-docs-flows
andre:devin/1765354976-fix-streaming-token-usage
andre:devin/1765207772-fix-bedrock-drop-params
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andre:devin/1765125361-add-openmemory-integration
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andre:gl/feat/non-blocking-memory
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andre:gl/chore/improve-task-and-guardrail-typing
andre:devin/1764497054-fix-replay-task-id-preservation
andre:devin/1763567753-fix-task-planner-ordering
andre:devin/1764423066-fix-huggingface-embedder
andre:lorenze/lazy-loading-module-imports-cli
andre:devin/1764352023-fix-async-decorator-error
andre:devin/1764350397-fix-azure-response-format
andre:devin/1764269882-fix-add-image-tool-base64
andre:devin/1764227614-fix-streaming-tool-call-events
andre:lorenze/revert-docs-aop-to-amp
andre:lorenze/fix-aop-consistency
andre:joaomdmoura/amp-to-aop
andre:devin/1763865883-anthropic-extended-thinking
andre:alert-autofix-26
andre:release/0.203.x
andre:devin/1763662205-fix-response-format-issue-3959
andre:devin/1763574855-docstrings-lancedb-adapter
andre:devin/1763542084-fix-gemini-3-pro-preview
andre:devin/1763537047-fix-rag-storage-path
andre:alert-autofix-23
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andre:devin/1763467151-fix-sse-transport-invalid-parameter
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andre:devin/1763103059-fix-context-bloat-issue-3912
andre:gl/chore/use-base-model-for-llms
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andre:gl/fix/add-clearance-hooks
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andre:devin/1762969239-fix-a2a-skill-id-validation
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andre:devin/1762848818-fix-aimind-tool-import
andre:devin/1762847531-fix-tool-import-from-crewai-tools
andre:devin/1762786788-add-http-support-for-mcp-servers
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andre:devin/1762750602-fix-kickoff-for-each-hang
andre:gl/chore/pytest-vcr-cassette-updates
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andre:gl/feat/pydantic-refactor-llms
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andre:gl/fix/align-llm-stop-sequences
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andre:devin/1761882750-fix-llm-config-in-crew-templates
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andre:devin/1765428346-fix-windows-signal-compatibility
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andre:lorenze/improve-docs-flows
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andre:devin/1764423066-fix-huggingface-embedder
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3 Commits
main
...
bugfix/add
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
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b1c4c2c887 | Merge branch 'main' into bugfix/add-crewai-chat-docs | ||
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932537a037 | add version number | ||
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b3c2e4e26d | add docs for crewai chat |
2 changed files with 31 additions and 2 deletions
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@@ -147,7 +147,36 @@ Some commands may require additional configuration or setup within your project
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</Note>
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### 9. API Keys
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### 9. Chat
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Starting in version `0.98.0`, when you run the `crewai chat` command, you start an interactive session with your crew. The AI assistant will guide you by asking for necessary inputs to execute the crew. Once all inputs are provided, the crew will execute its tasks.
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After receiving the results, you can continue interacting with the assistant for further instructions or questions.
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```shell
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crewai chat
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```
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<Note>
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Ensure you execute these commands from your CrewAI project's root directory.
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</Note>
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<Note>
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IMPORTANT: Set the `chat_llm` property in your `crew.py` file to enable this command.
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```python
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@crew
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def crew(self) -> Crew:
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return Crew(
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agents=self.agents,
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tasks=self.tasks,
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process=Process.sequential,
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verbose=True,
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chat_llm="gpt-4o", # LLM for chat orchestration
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)
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```
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</Note>
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### 10. API Keys
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When running ```crewai create crew``` command, the CLI will first show you the top 5 most common LLM providers and ask you to select one.
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@@ -37,7 +37,6 @@ from crewai.tasks.task_output import TaskOutput
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from crewai.telemetry import Telemetry
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from crewai.tools.agent_tools.agent_tools import AgentTools
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from crewai.tools.base_tool import Tool
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from crewai.types.crew_chat import ChatInputs
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from crewai.types.usage_metrics import UsageMetrics
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from crewai.utilities import I18N, FileHandler, Logger, RPMController
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from crewai.utilities.constants import TRAINING_DATA_FILE
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@@ -84,6 +83,7 @@ class Crew(BaseModel):
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step_callback: Callback to be executed after each step for every agents execution.
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share_crew: Whether you want to share the complete crew information and execution with crewAI to make the library better, and allow us to train models.
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planning: Plan the crew execution and add the plan to the crew.
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chat_llm: The language model used for orchestrating chat interactions with the crew.
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"""
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__hash__ = object.__hash__ # type: ignore
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