mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-07-04 22:49:23 +00:00
8b197a7ca8
### Overview `BedrockCompletion.acall()` (the async completion path used when a crew is kicked off asynchronously) requires `aiobotocore` to build its async client. The `bedrock` extra, however, only declared `boto3`. Crews configured with an AWS Bedrock model work fine under a synchronous `kickoff()`, since that path only needs `boto3`, but raise `NotImplementedError: Async support for AWS Bedrock requires aiobotocore` as soon as they're kicked off asynchronously, since `aiobotocore` was never installed. The fix adds `aiobotocore` to the `bedrock` extra, so `crewai[bedrock]` installs both the sync (`boto3`) and async (`aiobotocore`) dependencies the native Bedrock provider needs. The lockfile is regenerated to match. The exception message is also corrected — it previously pointed to a `bedrock-async` extra that never existed in `pyproject.toml`. ### Changes - `lib/crewai/pyproject.toml`: add `aiobotocore~=3.5.0` to the `bedrock` extra - `uv.lock`: regenerated to reflect the updated `bedrock` extra - `lib/crewai/src/crewai/llms/providers/bedrock/completion.py`: fix the install hint in the `NotImplementedError` message to reference the real `bedrock` extra instead of the nonexistent `bedrock-async`
156 lines
3.5 KiB
TOML
156 lines
3.5 KiB
TOML
[project]
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name = "crewai"
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dynamic = ["version"]
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description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
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readme = "README.md"
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authors = [
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{ name = "Joao Moura", email = "joao@crewai.com" }
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]
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requires-python = ">=3.10, <3.14"
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dependencies = [
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"crewai-core==1.15.2a1",
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"crewai-cli==1.15.2a1",
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# Core Dependencies
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"pydantic>=2.11.9,<2.13",
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"openai>=2.30.0,<3",
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"instructor>=1.3.3",
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# Text Processing
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"pdfplumber~=0.11.4",
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"regex~=2026.1.15",
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# Telemetry and Monitoring
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"opentelemetry-api~=1.42.0",
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"opentelemetry-sdk~=1.42.0",
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"opentelemetry-exporter-otlp-proto-http~=1.42.0",
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# Data Handling
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"chromadb~=1.1.0",
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"tokenizers>=0.21,<1",
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"openpyxl~=3.1.5",
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# Authentication and Security
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"python-dotenv>=1.2.2,<2",
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"pyjwt>=2.13.0,<3",
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# Configuration and Utils
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"click>=8.1.7,<9",
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"appdirs~=1.4.4",
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"jsonref~=1.1.0",
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"json-repair~=0.25.2",
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"cel-python>=0.5.0,<0.6",
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"tomli-w~=1.1.0",
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"tomli~=2.0.2",
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"json5~=0.10.0",
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"portalocker~=2.7.0",
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"pydantic-settings>=2.10.1,<3",
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"httpx~=0.28.1",
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"mcp~=1.26.0",
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"aiosqlite~=0.21.0",
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"pyyaml~=6.0",
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"aiofiles~=24.1.0",
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"lancedb>=0.29.2,<0.30.1",
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]
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[project.urls]
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Homepage = "https://crewai.com"
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Documentation = "https://docs.crewai.com"
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Repository = "https://github.com/crewAIInc/crewAI"
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[project.optional-dependencies]
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tools = [
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"crewai-tools==1.15.2a1",
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]
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embeddings = [
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"tiktoken>=0.8.0,<0.13"
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]
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pandas = [
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"pandas~=2.2.3",
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]
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openpyxl = [
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"openpyxl~=3.1.5",
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]
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mem0 = ["mem0ai>=2.0.0,<3"]
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docling = [
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"docling~=2.97.0",
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# docling 2.97 split into docling-slim; the chunker package (HierarchicalChunker)
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# now eagerly imports code-chunking submodules that need tree-sitter/semchunk,
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# which only the docling-core[chunking] extra provides.
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"docling-core[chunking]>=2.74.1",
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]
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qdrant = [
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"qdrant-client[fastembed]~=1.14.3",
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]
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aws = [
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"boto3~=1.42.90",
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"aiobotocore~=3.5.0",
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]
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watson = [
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"ibm-watsonx-ai~=1.3.39",
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]
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voyageai = [
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"voyageai~=0.3.5",
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]
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litellm = [
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"litellm>=1.84.0,<2",
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]
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bedrock = [
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"boto3~=1.42.90",
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"aiobotocore~=3.5.0",
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]
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google-genai = [
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"google-genai~=1.65.0",
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]
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azure-ai-inference = [
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"azure-ai-inference~=1.0.0b9",
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"azure-identity>=1.17.0,<2",
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]
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anthropic = [
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"anthropic~=0.73.0",
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]
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a2a = [
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"a2a-sdk~=0.3.10",
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"httpx-auth~=0.23.1",
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"httpx-sse~=0.4.0",
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"aiocache[redis,memcached]~=0.12.3",
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]
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file-processing = [
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"crewai-files",
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]
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qdrant-edge = [
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"qdrant-edge-py>=0.6.0",
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]
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[tool.uv]
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exclude-newer = "3 days"
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# PyTorch index configuration, since torch 2.5.0 is not compatible with python 3.13
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[[tool.uv.index]]
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name = "pytorch-nightly"
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url = "https://download.pytorch.org/whl/nightly/cpu"
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explicit = true
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[[tool.uv.index]]
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name = "pytorch"
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url = "https://download.pytorch.org/whl/cpu"
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explicit = true
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[tool.uv.sources]
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torch = [
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{ index = "pytorch-nightly", marker = "python_version >= '3.13'" },
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{ index = "pytorch", marker = "python_version < '3.13'" },
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]
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torchvision = [
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{ index = "pytorch-nightly", marker = "python_version >= '3.13'" },
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{ index = "pytorch", marker = "python_version < '3.13'" },
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]
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crewai-files = { workspace = true }
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[project.scripts]
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crewai = "crewai_cli.cli:crewai"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.version]
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path = "src/crewai/__init__.py"
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