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# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
[[package]]
name = "ag2"
version = "0.9.5"
description = "A programming framework for agentic AI"
optional = false
python-versions = "<3.14,>=3.9"
groups = ["main", "examples"]
files = [
{file = "ag2-0.9.5-py3-none-any.whl", hash = "sha256:98f5558054d3ecb9742fab990b5dbc1751614368656b3d9579924649c5c2a9f1"},
{file = "ag2-0.9.5.tar.gz", hash = "sha256:6e372e940b9ea5ca8124ebc9f024ed9bcbd67f35ccc164b3fe635b22b9ebdccf"},
]
markers = {main = "extra == \"examples\""}
[package.dependencies]
anthropic = {version = ">=0.23.1", extras = ["vertex"], optional = true, markers = "extra == \"anthropic\""}
anyio = ">=3.0.0,<5.0.0"
asyncer = "0.0.8"
diskcache = "*"
docker = "*"
httpx = ">=0.28.1,<1"
packaging = "*"
pydantic = ">=2.6.1,<3"
python-dotenv = "*"
termcolor = "*"
tiktoken = "*"
[package.extras]
anthropic = ["anthropic[vertex] (>=0.23.1)"]
autobuild = ["chromadb", "huggingface-hub", "sentence-transformers (<=4.1.0)"]
bedrock = ["boto3 (>=1.34.149)"]
blendsearch = ["flaml[blendsearch]"]
browser-use = ["browser-use (==0.1.37)"]
captainagent = ["chromadb", "huggingface-hub", "pandas", "sentence-transformers (<=4.1.0)"]
cerebras = ["cerebras-cloud-sdk (>=1.0.0)"]
cohere = ["cohere (>=5.13.5)"]
commsagent-discord = ["discord-py (>=2.4.0,<2.6)"]
commsagent-slack = ["slack-sdk (>=3.33.0,<3.40)"]
commsagent-telegram = ["telethon (>=1.38.1,<2)"]
cosmosdb = ["azure-cosmos (>=4.2.0)"]
crawl4ai = ["crawl4ai (>=0.4.247,<0.5)"]
deepseek = ["openai (>=1.87.0)"]
dev = ["cairosvg", "codespell (==2.4.1)", "detect-secrets (==1.5.0)", "dirty-equals (==0.9.0)", "fastapi (==0.115.12)", "ipykernel (==6.29.5)", "jinja2 (==3.1.6)", "mdx-include (==1.4.2)", "mike (==2.1.3)", "mkdocs-git-revision-date-localized-plugin (==1.3.0)", "mkdocs-glightbox (==0.4.0)", "mkdocs-literate-nav (==0.6.2)", "mkdocs-macros-plugin (==1.3.7)", "mkdocs-material (==9.6.12)", "mkdocs-minify-plugin (==0.8.0)", "mkdocs-redirects (==1.2.2)", "mkdocstrings[python] (==0.29.1)", "mock (==5.2.0)", "mypy (==1.15.0)", "nbclient (==0.10.2)", "nbconvert (==7.16.6)", "nbformat (==5.10.4)", "openai (>=1.87.0)", "pandas (==2.2.3)", "pdoc3 (==0.11.6)", "pillow", "pre-commit (==4.2.0)", "pytest (==8.3.5)", "pytest-asyncio (==0.26.0)", "pytest-cov (==6.1.1)", "pyupgrade-directories (==0.3.0)", "pyyaml (==6.0.2)", "ruff (==0.11.6)", "termcolor (==3.0.1)", "toml (==0.10.2)", "typer (==0.15.2)", "uv (==0.6.14)"]
docs = ["cairosvg", "jinja2 (==3.1.6)", "mdx-include (==1.4.2)", "mike (==2.1.3)", "mkdocs-git-revision-date-localized-plugin (==1.3.0)", "mkdocs-glightbox (==0.4.0)", "mkdocs-literate-nav (==0.6.2)", "mkdocs-macros-plugin (==1.3.7)", "mkdocs-material (==9.6.12)", "mkdocs-minify-plugin (==0.8.0)", "mkdocs-redirects (==1.2.2)", "mkdocstrings[python] (==0.29.1)", "nbclient (==0.10.2)", "pdoc3 (==0.11.6)", "pillow", "pyyaml (==6.0.2)", "termcolor (==3.0.1)", "typer (==0.15.2)"]
duckduckgo = ["duckduckgo-search (>=8.0.2)"]
flaml = ["flaml", "numpy (>=1.24.0,<2.0.0) ; python_version < \"3.13\"", "numpy (>=2.1) ; python_version >= \"3.13\""]
gemini = ["google-api-core", "google-auth", "google-cloud-aiplatform", "google-genai (>=1.20.0)", "jsonschema", "pillow"]
gemini-realtime = ["google-api-core", "google-auth", "google-cloud-aiplatform", "google-genai (>=1.20.0)", "jsonschema", "pillow", "websockets (>=14.0,<16)"]
google-api = ["google-api-python-client (>=2.163.0,<3.0)", "google-auth-httplib2 (>=0.2.0,<0.3)", "google-auth-oauthlib (>=1.2.1,<2.0)"]
google-client = ["google-api-python-client (>=2.163.0,<3.0)"]
google-search = ["google-api-python-client (>=2.163.0,<3.0)"]
graph = ["matplotlib", "networkx"]
graph-rag-falkor-db = ["falkordb (>=1.0.10)", "graphrag-sdk (==0.7.1)"]
groq = ["groq (>=0.9.0)"]
interop = ["crewai[tools] (>=0.76,<1) ; python_version >= \"3.10\" and python_version < \"3.13\"", "langchain-community (>=0.3.12,<1)", "litellm (<=1.67.1)", "pydantic-ai (==0.0.31)", "weaviate-client (>=4,<5) ; python_version >= \"3.10\" and python_version < \"3.13\""]
interop-crewai = ["crewai[tools] (>=0.76,<1) ; python_version >= \"3.10\" and python_version < \"3.13\"", "litellm (<=1.67.1)", "weaviate-client (>=4,<5) ; python_version >= \"3.10\" and python_version < \"3.13\""]
interop-langchain = ["langchain-community (>=0.3.12,<1)"]
interop-pydantic-ai = ["pydantic-ai (==0.0.31)"]
jupyter-executor = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter-kernel-gateway", "requests", "websocket-client"]
lint = ["codespell (==2.4.1)", "pyupgrade-directories (==0.3.0)", "ruff (==0.11.6)"]
lmm = ["pillow", "replicate"]
long-context = ["llmlingua (<0.3)"]
mathchat = ["sympy", "wolframalpha"]
mcp = ["mcp (>=1.9.4) ; python_version >= \"3.10\""]
mcp-proxy-gen = ["fastapi (>=0.112,<1)", "fastapi-code-generator (>=0.5.4)", "pyyaml", "requests", "typer"]
mistral = ["mistralai (>=1.0.1)"]
neo4j = ["docx2txt (==0.9)", "llama-index (>=0.12,<1)", "llama-index-graph-stores-neo4j (==0.4.6)", "llama-index-readers-web (==0.3.9)"]
ollama = ["fix-busted-json (>=0.0.18)", "ollama (>=0.4.7)"]
openai = ["openai (>=1.87.0)"]
openai-realtime = ["openai (>=1.87.0)", "openai[realtime]"]
rag = ["chromadb (>=0.5,<1)", "docling (>=2.15.1,<3)", "llama-index (>=0.12,<1)", "llama-index-embeddings-huggingface (==0.5.3)", "llama-index-llms-langchain (==0.6.1)", "llama-index-vector-stores-chroma (==0.4.1)", "llama-index-vector-stores-mongodb (==0.6.0)", "requests (>=2.32.3,<3)", "selenium (>=4.28.1,<5)", "webdriver-manager (==4.0.2)"]
redis = ["redis"]
retrievechat = ["beautifulsoup4", "chromadb (==0.6.3)", "ipython", "markdownify", "protobuf (==5.29.3)", "pypdf", "sentence-transformers (<=4.1.0)"]
retrievechat-couchbase = ["beautifulsoup4", "chromadb (==0.6.3)", "couchbase (>=4.3.0)", "ipython", "markdownify", "numpy", "protobuf (==5.29.3)", "pypdf", "sentence-transformers (<=4.1.0)"]
retrievechat-mongodb = ["beautifulsoup4", "chromadb (==0.6.3)", "ipython", "markdownify", "numpy", "protobuf (==5.29.3)", "pymongo (>=4.0.0)", "pypdf", "sentence-transformers (<=4.1.0)"]
retrievechat-pgvector = ["beautifulsoup4", "chromadb (==0.6.3)", "ipython", "markdownify", "pgvector (>=0.2.5)", "protobuf (==5.29.3)", "psycopg (>=3.1.18) ; platform_system == \"Linux\"", "psycopg[binary] (>=3.1.18) ; platform_system == \"Windows\" or platform_system == \"Darwin\"", "pypdf", "sentence-transformers (<=4.1.0)"]
retrievechat-qdrant = ["beautifulsoup4", "chromadb (==0.6.3)", "fastembed (>=0.3.1)", "ipython", "markdownify", "protobuf (==5.29.3)", "pypdf", "qdrant-client", "sentence-transformers (<=4.1.0)"]
tavily = ["tavily-python (>=0.7.4)"]
teachable = ["chromadb"]
test = ["dirty-equals (==0.9.0)", "fastapi (==0.115.12)", "ipykernel (==6.29.5)", "mock (==5.2.0)", "nbconvert (==7.16.6)", "nbformat (==5.10.4)", "pandas (==2.2.3)", "pytest (==8.3.5)", "pytest-asyncio (==0.26.0)", "pytest-cov (==6.1.1)"]
together = ["together (>=1.2)"]
twilio = ["fastapi (>=0.115.0,<1)", "twilio (>=9.3.2)", "uvicorn (>=0.30.6,<1)"]
types = ["dirty-equals (==0.9.0)", "fastapi (==0.115.12)", "ipykernel (==6.29.5)", "mock (==5.2.0)", "mypy (==1.15.0)", "nbconvert (==7.16.6)", "nbformat (==5.10.4)", "openai (>=1.87.0)", "pandas (==2.2.3)", "pytest (==8.3.5)", "pytest-asyncio (==0.26.0)", "pytest-cov (==6.1.1)"]
websockets = ["websockets (>=14.0,<16)"]
websurfer = ["beautifulsoup4", "markdownify", "pathvalidate", "pdfminer-six"]
wikipedia = ["wikipedia-api (>=0.8.1,<1.0)"]
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
groups = ["main", "examples"]
files = [
{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
]
markers = {main = "extra == \"examples\""}
[[package]]
name = "anthropic"
version = "0.57.1"
description = "The official Python library for the anthropic API"
optional = false
python-versions = ">=3.8"
groups = ["examples"]
files = [
{file = "anthropic-0.57.1-py3-none-any.whl", hash = "sha256:33afc1f395af207d07ff1bffc0a3d1caac53c371793792569c5d2f09283ea306"},
{file = "anthropic-0.57.1.tar.gz", hash = "sha256:7815dd92245a70d21f65f356f33fc80c5072eada87fb49437767ea2918b2c4b0"},
]
[package.dependencies]
anyio = ">=3.5.0,<5"
distro = ">=1.7.0,<2"
google-auth = {version = ">=2,<3", extras = ["requests"], optional = true, markers = "extra == \"vertex\""}
httpx = ">=0.25.0,<1"
jiter = ">=0.4.0,<1"
pydantic = ">=1.9.0,<3"
sniffio = "*"
typing-extensions = ">=4.10,<5"
[package.extras]
aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.6)"]
bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
vertex = ["google-auth[requests] (>=2,<3)"]
[[package]]
name = "anyio"
version = "4.9.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.9"
groups = ["main", "examples"]
files = [
{file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"},
{file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
]
markers = {main = "extra == \"examples\""}
[package.dependencies]
idna = ">=2.8"
sniffio = ">=1.1"
typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
[package.extras]
doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
trio = ["trio (>=0.26.1)"]
[[package]]
name = "asyncer"
version = "0.0.8"
description = "Asyncer, async and await, focused on developer experience."
optional = false
python-versions = ">=3.8"
groups = ["main", "examples"]
files = [
{file = "asyncer-0.0.8-py3-none-any.whl", hash = "sha256:5920d48fc99c8f8f0f1576e1882f5022885589c5fcbc46ce4224ec3e53776eeb"},
{file = "asyncer-0.0.8.tar.gz", hash = "sha256:a589d980f57e20efb07ed91d0dbe67f1d2fd343e7142c66d3a099f05c620739c"},
]
markers = {main = "extra == \"examples\""}
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