diff --git a/python/uagents-adapter/README.md b/python/uagents-adapter/README.md
index 00089164..a8431569 100644
--- a/python/uagents-adapter/README.md
+++ b/python/uagents-adapter/README.md
@@ -7,6 +7,7 @@ This package provides adapters for integrating [uAgents](https://github.com/fetc
 - **MCP Server Adapter**: Integrate Model Control Protocol (MCP) servers with uAgents
 - **A2A Outbound Adapter**: Bridges uAgents and A2A servers 
 - **A2A Inbound Adapter**: Bridge Agentverse agents to A2A protocol for AI assistants
+- **Composio Adapter**: Integrate Composio tools and create specialized multi-agent systems
 
 ## Installation
 
@@ -28,6 +29,9 @@ pip install "uagents-adapter[a2a-inbound]"
 
 # Install with A2A Outbound support
 pip install "uagents-adapter[a2a-outbound]"
+
+# Install with Composio support
+pip install "uagents-adapter[composio]"
 ```
 
 ## LangChain Adapter
@@ -339,7 +343,40 @@ python -m uagents_adapter.a2a_inbound.cli \
 
 > **Security Note**: Always set `UAGENTS_BRIDGE_SEED` environment variable for production deployments to ensure consistent bridge agent addresses across restarts and prevent conflicts.
 
- 
+## Composio Adapter
+
+The Composio adapter allows you to integrate Composio tools and create specialized agents that can interact with various external services through the Composio platform.
+
+```python
+import asyncio
+from uagents import Agent
+from uagents_adapter import ComposioConfig, ToolConfig, ComposioService
+
+async def main():
+    # Configure tools
+    tool_config = ToolConfig.from_toolkit(
+        tool_group_name="GitHub Tools",
+        auth_config_id="your_github_auth_config_id",
+        toolkit="GITHUB",
+        limit=5
+    )
+
+    # Create Composio configuration
+    composio_config = ComposioConfig.from_env(tool_configs=[tool_config])
+
+    # Initialize agent
+    agent = Agent(name="My Composio Agent", seed="my_seed", port=8001, mailbox=True)
+
+    # Create and configure Composio service
+    async with ComposioService(composio_config=composio_config) as service:
+        agent.include(service.protocol, publish_manifest=True)
+        await agent.run_async()
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+The adapter supports multiple tool configurations, modifiers for customization, and multi-agent orchestration with specialized agents for different tool groups. See the [Composio documentation](src/uagents_adapter/composio/README.md) for advanced configuration options.
 
 ## Agentverse Integration
 
diff --git a/python/uagents-adapter/poetry.lock b/python/uagents-adapter/poetry.lock
index 3d3a2b12..afcbcd4c 100644
--- a/python/uagents-adapter/poetry.lock
+++ b/python/uagents-adapter/poetry.lock
@@ -1,4 +1,38 @@
-# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
+
+[[package]]
+name = "a2a-sdk"
+version = "0.3.5"
+description = "A2A Python SDK"
+optional = true
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"a2a-inbound\" or extra == \"a2a-outbound\""
+files = [
+    {file = "a2a_sdk-0.3.5-py3-none-any.whl", hash = "sha256:fd85b1e4e7be18a89b5d723e4013171510150a235275876f98de9e1ba869457e"},
+    {file = "a2a_sdk-0.3.5.tar.gz", hash = "sha256:48cf37dedeb63cf0a072512221a12ed4b3950df695c9d65eadb839a99392c3e5"},
+]
+
+[package.dependencies]
+google-api-core = ">=1.26.0"
+httpx = ">=0.28.1"
+httpx-sse = ">=0.4.0"
+protobuf = ">=5.29.5"
+pydantic = ">=2.11.3"
+sqlalchemy = [
+    {version = ">=2.0.0", extras = ["aiomysql", "aiosqlite", "asyncio", "postgresql-asyncpg"], optional = true, markers = "extra == \"sql\""},
+    {version = ">=2.0.0", extras = ["aiosqlite", "asyncio"], optional = true, markers = "extra == \"sqlite\""},
+]
+
+[package.extras]
+encryption = ["cryptography (>=43.0.0)"]
+grpc = ["grpcio (>=1.60)", "grpcio-reflection (>=1.7.0)", "grpcio-tools (>=1.60)"]
+http-server = ["fastapi (>=0.115.2)", "sse-starlette", "starlette"]
+mysql = ["sqlalchemy[aiomysql,asyncio] (>=2.0.0)"]
+postgresql = ["sqlalchemy[asyncio,postgresql-asyncpg] (>=2.0.0)"]
+sql = ["sqlalchemy[aiomysql,aiosqlite,asyncio,postgresql-asyncpg] (>=2.0.0)"]
+sqlite = ["sqlalchemy[aiosqlite,asyncio] (>=2.0.0)"]
+telemetry = ["opentelemetry-api (>=1.33.0)", "opentelemetry-sdk (>=1.33.0)"]
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -116,6 +150,26 @@ yarl = ">=1.17.0,<2.0"
 [package.extras]
 speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
+[[package]]
+name = "aiomysql"
+version = "0.2.0"
+description = "MySQL driver for asyncio."
+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"a2a-inbound\" or extra == \"a2a-outbound\""
+files = [
+    {file = "aiomysql-0.2.0-py3-none-any.whl", hash = "sha256:b7c26da0daf23a5ec5e0b133c03d20657276e4eae9b73e040b72787f6f6ade0a"},
+    {file = "aiomysql-0.2.0.tar.gz", hash = "sha256:558b9c26d580d08b8c5fd1be23c5231ce3aeff2dadad989540fee740253deb67"},
+]
+
+[package.dependencies]
+PyMySQL = ">=1.0"
+
+[package.extras]
+rsa = ["PyMySQL[rsa] (>=1.0)"]
+sa = ["sqlalchemy (>=1.3,<1.4)"]
+
 [[package]]
 name = "aiosignal"
 version = "1.3.2"
@@ -131,13 +185,33 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "aiosqlite"
+version = "0.21.0"
+description = "asyncio bridge to the standard sqlite3 module"
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"a2a-inbound\" or extra == \"a2a-outbound\""
+files = [
+    {file = "aiosqlite-0.21.0-py3-none-any.whl", hash = "sha256:2549cf4057f95f53dcba16f2b64e8e2791d7e1adedb13197dd8ed77bb226d7d0"},
+    {file = "aiosqlite-0.21.0.tar.gz", hash = "sha256:131bb8056daa3bc875608c631c678cda73922a2d4ba8aec373b19f18c17e7aa3"},
+]
+
+[package.dependencies]
+typing_extensions = ">=4.0"
+
+[package.extras]
+dev = ["attribution (==1.7.1)", "black (==24.3.0)", "build (>=1.2)", "coverage[toml] (==7.6.10)", "flake8 (==7.0.0)", "flake8-bugbear (==24.12.12)", "flit (==3.10.1)", "mypy (==1.14.1)", "ufmt (==2.5.1)", "usort (==1.0.8.post1)"]
+docs = ["sphinx (==8.1.3)", "sphinx-mdinclude (==0.6.1)"]
+
 [[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", "crewai", "langchain"]
+groups = ["main"]
 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"},
@@ -149,7 +223,7 @@ version = "4.9.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "crewai", "langchain"]
+groups = ["main"]
 files = [
     {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"},
     {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
@@ -166,6 +240,36 @@ doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)",
 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 = "appdirs"
+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+optional = true
+python-versions = "*"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
+    {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
+]
+
+[[package]]
+name = "asttokens"
+version = "3.0.0"
+description = "Annotate AST trees with source code positions"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"},
+    {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"},
+]
+
+[package.extras]
+astroid = ["astroid (>=2,<4)"]
+test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"]
+
 [[package]]
 name = "async-timeout"
 version = "5.0.1"
@@ -173,12 +277,80 @@ description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "python_version < \"3.11\""
+markers = "python_version == \"3.10\""
 files = [
     {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
     {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
 ]
 
+[[package]]
+name = "asyncpg"
+version = "0.30.0"
+description = "An asyncio PostgreSQL driver"
+optional = true
+python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"a2a-inbound\" or extra == \"a2a-outbound\""
+files = [
+    {file = "asyncpg-0.30.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bfb4dd5ae0699bad2b233672c8fc5ccbd9ad24b89afded02341786887e37927e"},
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+
+[package.extras]
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+gssauth = ["gssapi ; platform_system != \"Windows\"", "sspilib ; platform_system == \"Windows\""]
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+
 [[package]]
 name = "attrs"
 version = "25.3.0"
@@ -199,6 +371,97 @@ docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphi
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+typecheck = ["mypy"]
+
 [[package]]
 name = "bech32"
 version = "1.2.0"
@@ -211,18 +474,166 @@ files = [
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 ]
 
+[[package]]
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+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
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+
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+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
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+packaging = ">=19.1"
+pyproject_hooks = "*"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+
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+uv = ["uv (>=0.1.18)"]
+virtualenv = ["virtualenv (>=20.11) ; python_version < \"3.10\"", "virtualenv (>=20.17) ; python_version >= \"3.10\" and python_version < \"3.14\"", "virtualenv (>=20.31) ; python_version >= \"3.14\""]
+
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 [[package]]
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 description = "Python package for providing Mozilla's CA Bundle."
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 python-versions = ">=3.6"
-groups = ["main", "crewai", "langchain"]
+groups = ["main"]
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+groups = ["main"]
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+
 [[package]]
 name = "cfgv"
 version = "3.4.0"
@@ -241,7 +652,7 @@ version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "langchain"]
+groups = ["main"]
 files = [
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+
 [[package]]
 name = "click"
 version = "8.1.8"
@@ -358,23 +818,103 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["main", "crewai", "dev", "langchain"]
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-markers = {main = "platform_system == \"Windows\"", crewai = "platform_system == \"Windows\"", dev = "sys_platform == \"win32\"", langchain = "platform_system == \"Windows\""}
+markers = {main = "(extra == \"all\" or extra == \"crewai\" or platform_system == \"Windows\") and (os_name == \"nt\" or platform_system == \"Windows\" or sys_platform == \"win32\")", dev = "sys_platform == \"win32\""}
+
+[[package]]
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+description = "Colored terminal output for Python's logging module"
+optional = true
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+
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+optional = true
+python-versions = "<4,>=3.9"
+groups = ["main"]
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+version = "0.11.1"
 description = "A library for interacting with the cosmos networks"
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 googleapis-common-protos = "*"
 grpcio = "*"
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-protobuf = ">=4.21.6,<5.0dev"
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+    {file = "cryptography-46.0.2.tar.gz", hash = "sha256:21b6fc8c71a3f9a604f028a329e5560009cc4a3a828bfea5fcba8eb7647d88fe"},
+]
+
+[package.dependencies]
+cffi = {version = ">=2.0.0", markers = "python_full_version >= \"3.9.0\" and platform_python_implementation != \"PyPy\""}
+typing-extensions = {version = ">=4.13.2", markers = "python_full_version < \"3.11.0\""}
+
+[package.extras]
+docs = ["sphinx (>=5.3.0)", "sphinx-inline-tabs", "sphinx-rtd-theme (>=3.0.0)"]
+docstest = ["pyenchant (>=3)", "readme-renderer (>=30.0)", "sphinxcontrib-spelling (>=7.3.1)"]
+nox = ["nox[uv] (>=2024.4.15)"]
+pep8test = ["check-sdist", "click (>=8.0.1)", "mypy (>=1.14)", "ruff (>=0.11.11)"]
+sdist = ["build (>=1.0.0)"]
+ssh = ["bcrypt (>=3.1.5)"]
+test = ["certifi (>=2024)", "cryptography-vectors (==46.0.2)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
+test-randomorder = ["pytest-randomly"]
+
+[[package]]
+name = "decorator"
+version = "5.2.1"
+description = "Decorators for Humans"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"},
+    {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"},
+]
+
+[[package]]
+name = "diskcache"
+version = "5.6.3"
+description = "Disk Cache -- Disk and file backed persistent cache."
+optional = true
+python-versions = ">=3"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19"},
+    {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"},
+]
 
 [[package]]
 name = "distlib"
@@ -394,7 +1096,7 @@ version = "0.3.9"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
-groups = ["dev"]
+groups = ["main", "dev"]
 files = [
     {file = "distlib-0.3.9-py2.py3-none-any.whl", hash = "sha256:47f8c22fd27c27e25a65601af709b38e4f0a45ea4fc2e710f65755fa8caaaf87"},
     {file = "distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403"},
@@ -406,12 +1108,43 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
-groups = ["crewai", "langchain"]
+groups = ["main"]
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
 ]
 
+[[package]]
+name = "docstring-parser"
+version = "0.17.0"
+description = "Parse Python docstrings in reST, Google and Numpydoc format"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "docstring_parser-0.17.0-py3-none-any.whl", hash = "sha256:cf2569abd23dce8099b300f9b4fa8191e9582dda731fd533daf54c4551658708"},
+    {file = "docstring_parser-0.17.0.tar.gz", hash = "sha256:583de4a309722b3315439bb31d64ba3eebada841f2e2cee23b99df001434c912"},
+]
+
+[package.extras]
+dev = ["pre-commit (>=2.16.0) ; python_version >= \"3.9\"", "pydoctor (>=25.4.0)", "pytest"]
+docs = ["pydoctor (>=25.4.0)"]
+test = ["pytest"]
+
+[[package]]
+name = "durationpy"
+version = "0.10"
+description = "Module for converting between datetime.timedelta and Go's Duration strings."
+optional = true
+python-versions = "*"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "durationpy-0.10-py3-none-any.whl", hash = "sha256:3b41e1b601234296b4fb368338fdcd3e13e0b4fb5b67345948f4f2bf9868b286"},
+    {file = "durationpy-0.10.tar.gz", hash = "sha256:1fa6893409a6e739c9c72334fc65cca1f355dbdd93405d30f726deb5bde42fba"},
+]
+
 [[package]]
 name = "ecdsa"
 version = "0.19.1"
@@ -431,14 +1164,27 @@ six = ">=1.9.0"
 gmpy = ["gmpy"]
 gmpy2 = ["gmpy2"]
 
+[[package]]
+name = "et-xmlfile"
+version = "2.0.0"
+description = "An implementation of lxml.xmlfile for the standard library"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa"},
+    {file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"},
+]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "crewai", "dev", "langchain"]
-markers = "python_version < \"3.11\""
+groups = ["main", "dev"]
+markers = "python_version == \"3.10\""
 files = [
     {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
     {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
@@ -447,13 +1193,29 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "executing"
+version = "2.2.1"
+description = "Get the currently executing AST node of a frame, and other information"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017"},
+    {file = "executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4"},
+]
+
+[package.extras]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""]
+
 [[package]]
 name = "filelock"
 version = "3.18.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
+groups = ["main", "dev"]
 files = [
     {file = "filelock-3.18.0-py3-none-any.whl", hash = "sha256:c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de"},
     {file = "filelock-3.18.0.tar.gz", hash = "sha256:adbc88eabb99d2fec8c9c1b229b171f18afa655400173ddc653d5d01501fb9f2"},
@@ -464,6 +1226,19 @@ docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
 typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
+[[package]]
+name = "flatbuffers"
+version = "25.9.23"
+description = "The FlatBuffers serialization format for Python"
+optional = true
+python-versions = "*"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "flatbuffers-25.9.23-py2.py3-none-any.whl", hash = "sha256:255538574d6cb6d0a79a17ec8bc0d30985913b87513a01cce8bcdb6b4c44d0e2"},
+    {file = "flatbuffers-25.9.23.tar.gz", hash = "sha256:676f9fa62750bb50cf531b42a0a2a118ad8f7f797a511eda12881c016f093b12"},
+]
+
 [[package]]
 name = "frozenlist"
 version = "1.5.0"
@@ -566,6 +1341,104 @@ files = [
     {file = "frozenlist-1.5.0.tar.gz", hash = "sha256:81d5af29e61b9c8348e876d442253723928dce6433e0e76cd925cd83f1b4b817"},
 ]
 
+[[package]]
+name = "fsspec"
+version = "2025.9.0"
+description = "File-system specification"
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "fsspec-2025.9.0-py3-none-any.whl", hash = "sha256:530dc2a2af60a414a832059574df4a6e10cce927f6f4a78209390fe38955cfb7"},
+    {file = "fsspec-2025.9.0.tar.gz", hash = "sha256:19fd429483d25d28b65ec68f9f4adc16c17ea2c7c7bf54ec61360d478fb19c19"},
+]
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+dev = ["pre-commit", "ruff (>=0.5)"]
+doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
+test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""]
+tqdm = ["tqdm"]
+
+[[package]]
+name = "google-api-core"
+version = "2.26.0"
+description = "Google API client core library"
+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"a2a-inbound\" or extra == \"a2a-outbound\""
+files = [
+    {file = "google_api_core-2.26.0-py3-none-any.whl", hash = "sha256:2b204bd0da2c81f918e3582c48458e24c11771f987f6258e6e227212af78f3ed"},
+    {file = "google_api_core-2.26.0.tar.gz", hash = "sha256:e6e6d78bd6cf757f4aee41dcc85b07f485fbb069d5daa3afb126defba1e91a62"},
+]
+
+[package.dependencies]
+google-auth = ">=2.14.1,<3.0.0"
+googleapis-common-protos = ">=1.56.2,<2.0.0"
+proto-plus = [
+    {version = ">=1.22.3,<2.0.0"},
+    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
+]
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
+requests = ">=2.18.0,<3.0.0"
+
+[package.extras]
+async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.0)"]
+grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio (>=1.75.1,<2.0.0) ; python_version >= \"3.14\"", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio-status (>=1.75.1,<2.0.0) ; python_version >= \"3.14\""]
+grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
+grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
+
+[[package]]
+name = "google-auth"
+version = "2.41.1"
+description = "Google Authentication Library"
+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\" or extra == \"a2a-inbound\" or extra == \"a2a-outbound\""
+files = [
+    {file = "google_auth-2.41.1-py2.py3-none-any.whl", hash = "sha256:754843be95575b9a19c604a848a41be03f7f2afd8c019f716dc1f51ee41c639d"},
+    {file = "google_auth-2.41.1.tar.gz", hash = "sha256:b76b7b1f9e61f0cb7e88870d14f6a94aeef248959ef6992670efee37709cbfd2"},
+]
+
+[package.dependencies]
+cachetools = ">=2.0.0,<7.0"
+pyasn1-modules = ">=0.2.1"
+rsa = ">=3.1.4,<5"
+
+[package.extras]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "requests (>=2.20.0,<3.0.0)"]
+enterprise-cert = ["cryptography", "pyopenssl"]
+pyjwt = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
+pyopenssl = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+reauth = ["pyu2f (>=0.1.5)"]
+requests = ["requests (>=2.20.0,<3.0.0)"]
+testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
+urllib3 = ["packaging", "urllib3"]
+
 [[package]]
 name = "googleapis-common-protos"
 version = "1.70.0"
@@ -585,16 +1458,85 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 grpc = ["grpcio (>=1.44.0,<2.0.0)"]
 
 [[package]]
-name = "grpcio"
-version = "1.71.0"
-description = "HTTP/2-based RPC framework"
-optional = false
+name = "greenlet"
+version = "3.2.4"
+description = "Lightweight in-process concurrent programming"
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
+markers = "(extra == \"all\" or extra == \"a2a-inbound\" or extra == \"a2a-outbound\") and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"
 files = [
-    {file = "grpcio-1.71.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:c200cb6f2393468142eb50ab19613229dcc7829b5ccee8b658a36005f6669fdd"},
-    {file = "grpcio-1.71.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:b2266862c5ad664a380fbbcdbdb8289d71464c42a8c29053820ee78ba0119e5d"},
-    {file = "grpcio-1.71.0-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:0ab8b2864396663a5b0b0d6d79495657ae85fa37dcb6498a2669d067c65c11ea"},
+    {file = "greenlet-3.2.4-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:8c68325b0d0acf8d91dde4e6f930967dd52a5302cd4062932a6b2e7c2969f47c"},
+    {file = "greenlet-3.2.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:94385f101946790ae13da500603491f04a76b6e4c059dab271b3ce2e283b2590"},
+    {file = "greenlet-3.2.4-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:f10fd42b5ee276335863712fa3da6608e93f70629c631bf77145021600abc23c"},
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 socks = ["socksio (==1.*)"]
 trio = ["trio (>=0.22.0,<1.0)"]
 
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+    {file = "httptools-0.7.1.tar.gz", hash = "sha256:abd72556974f8e7c74a259655924a717a2365b236c882c3f6f8a45fe94703ac9"},
+]
+
 [[package]]
 name = "httpx"
 version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "crewai", "langchain"]
+groups = ["main"]
 files = [
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@@ -707,6 +1725,75 @@ http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "httpx-sse"
+version = "0.4.3"
+description = "Consume Server-Sent Event (SSE) messages with HTTPX."
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"mcp\" or extra == \"a2a-inbound\" or extra == \"a2a-outbound\""
+files = [
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+    {file = "httpx_sse-0.4.3.tar.gz", hash = "sha256:9b1ed0127459a66014aec3c56bebd93da3c1bc8bb6618c8082039a44889a755d"},
+]
+
+[[package]]
+name = "huggingface-hub"
+version = "0.35.3"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = true
+python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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+    {file = "huggingface_hub-0.35.3.tar.gz", hash = "sha256:350932eaa5cc6a4747efae85126ee220e4ef1b54e29d31c3b45c5612ddf0b32a"},
+]
+
+[package.dependencies]
+filelock = "*"
+fsspec = ">=2023.5.0"
+hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+cli = ["InquirerPy (==0.3.4)"]
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+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"]
+inference = ["aiohttp"]
+mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"]
+oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
+quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors[torch]", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
+
+[[package]]
+name = "humanfriendly"
+version = "10.0"
+description = "Human friendly output for text interfaces using Python"
+optional = true
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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+    {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
+]
+
+[package.dependencies]
+pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
+
 [[package]]
 name = "identify"
 version = "2.6.9"
@@ -728,7 +1815,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
-groups = ["main", "crewai", "langchain"]
+groups = ["main"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
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@@ -737,6 +1824,52 @@ files = [
 [package.extras]
 all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
 
+[[package]]
+name = "importlib-metadata"
+version = "8.7.0"
+description = "Read metadata from Python packages"
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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+    {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"},
+]
+
+[package.dependencies]
+zipp = ">=3.20"
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+perf = ["ipython"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["pytest-mypy"]
+
+[[package]]
+name = "importlib-resources"
+version = "6.5.2"
+description = "Read resources from Python packages"
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"},
+    {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
+type = ["pytest-mypy"]
+
 [[package]]
 name = "iniconfig"
 version = "2.1.0"
@@ -749,13 +1882,193 @@ files = [
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 ]
 
+[[package]]
+name = "instructor"
+version = "1.11.3"
+description = "structured outputs for llm"
+optional = true
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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+    {file = "instructor-1.11.3.tar.gz", hash = "sha256:6f58fea6fadfa228c411ecdedad4662230c456718f4a770a97a806dcb36b3287"},
+]
+
+[package.dependencies]
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+diskcache = ">=5.6.3"
+docstring-parser = ">=0.16,<1.0"
+jinja2 = ">=3.1.4,<4.0.0"
+jiter = ">=0.6.1,<0.11"
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+rich = ">=13.7.0,<15.0.0"
+tenacity = ">=8.2.3,<10.0.0"
+typer = ">=0.9.0,<1.0.0"
+
+[package.extras]
+anthropic = ["anthropic (==0.53.0)", "xmltodict (>=0.13,<0.15)"]
+bedrock = ["boto3 (>=1.34.0,<2.0.0)"]
+cerebras-cloud-sdk = ["cerebras-cloud-sdk (>=1.5.0,<2.0.0)"]
+cohere = ["cohere (>=5.1.8,<6.0.0)"]
+datasets = ["datasets (>=3.0.1,<4.0.0)"]
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+
+[[package]]
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+version = "8.37.0"
+description = "IPython: Productive Interactive Computing"
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+python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version < \"3.13\" and (extra == \"all\" or extra == \"crewai\")"
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+description = "A package to repair broken json strings"
+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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+optional = true
+python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
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+
 [[package]]
 name = "jsonpatch"
 version = "1.33"
 description = "Apply JSON-Patches (RFC 6902)"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
-groups = ["main", "langchain"]
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"langchain\" or extra == \"composio\""
 files = [
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@@ -850,18 +2281,52 @@ files = [
 [package.dependencies]
 jsonpointer = ">=1.9"
 
+[[package]]
+name = "jsonpickle"
+version = "4.1.1"
+description = "jsonpickle encodes/decodes any Python object to/from JSON"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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+    {file = "jsonpickle-4.1.1.tar.gz", hash = "sha256:f86e18f13e2b96c1c1eede0b7b90095bbb61d99fedc14813c44dc2f361dbbae1"},
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+
+[package.extras]
+cov = ["pytest-cov"]
+dev = ["black", "pyupgrade"]
+docs = ["furo", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+packaging = ["build", "setuptools (>=61.2)", "setuptools_scm[toml] (>=6.0)", "twine"]
+testing = ["PyYAML", "atheris (>=2.3.0,<2.4.0) ; python_version < \"3.12\"", "bson", "ecdsa", "feedparser", "gmpy2", "numpy", "pandas", "pymongo", "pytest (>=6.0,!=8.1.*)", "pytest-benchmark", "pytest-benchmark[histogram]", "pytest-checkdocs (>=1.2.3)", "pytest-enabler (>=1.0.1)", "pytest-ruff (>=0.2.1)", "scikit-learn", "scipy (>=1.9.3) ; python_version > \"3.10\"", "scipy ; python_version <= \"3.10\"", "simplejson", "sqlalchemy", "ujson"]
+
 [[package]]
 name = "jsonpointer"
 version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
-optional = false
+optional = true
 python-versions = ">=3.7"
-groups = ["main", "langchain"]
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"langchain\" or extra == \"composio\""
 files = [
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 ]
 
+[[package]]
+name = "jsonref"
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+description = "jsonref is a library for automatic dereferencing of JSON Reference objects for Python."
+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
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+]
+
 [[package]]
 name = "jsonschema"
 version = "4.23.0"
@@ -899,71 +2364,700 @@ files = [
 [package.dependencies]
 referencing = ">=0.31.0"
 
+[[package]]
+name = "kubernetes"
+version = "33.1.0"
+description = "Kubernetes python client"
+optional = true
+python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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+durationpy = ">=0.7"
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+oauthlib = ">=3.2.2"
+python-dateutil = ">=2.5.3"
+pyyaml = ">=5.4.1"
+requests = "*"
+requests-oauthlib = "*"
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+urllib3 = ">=1.24.2"
+websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
+
+[package.extras]
+adal = ["adal (>=1.0.2)"]
+
+[[package]]
+name = "langchain"
+version = "1.0.0a14"
+description = "Building applications with LLMs through composability"
+optional = true
+python-versions = "<4.0.0,>=3.10.0"
+groups = ["main"]
+markers = "extra == \"langchain\""
+files = [
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+    {file = "langchain-1.0.0a14.tar.gz", hash = "sha256:264067fac9f38098c8dc69b348a33c2538e309bd4d20424484bd3ea2e138cc76"},
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+
+[package.dependencies]
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+langgraph = ">=1.0.0a4,<2.0.0"
+pydantic = ">=2.7.4,<3.0.0"
+
+[package.extras]
+anthropic = ["langchain-anthropic"]
+aws = ["langchain-aws"]
+community = ["langchain-community"]
+deepseek = ["langchain-deepseek"]
+fireworks = ["langchain-fireworks"]
+google-genai = ["langchain-google-genai"]
+google-vertexai = ["langchain-google-vertexai"]
+groq = ["langchain-groq"]
+mistralai = ["langchain-mistralai"]
+ollama = ["langchain-ollama"]
+openai = ["langchain-openai"]
+perplexity = ["langchain-perplexity"]
+together = ["langchain-together"]
+xai = ["langchain-xai"]
+
+[[package]]
+name = "langchain"
+version = "1.0.2"
+description = "Building applications with LLMs through composability"
+optional = true
+python-versions = "<4.0.0,>=3.10.0"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"composio\" or extra == \"langchain\""
+files = [
+    {file = "langchain-1.0.2-py3-none-any.whl", hash = "sha256:e0c5647ea47cde7feb9534f56f4496c7f86a45084ad9bd152e7b19739f210ead"},
+    {file = "langchain-1.0.2.tar.gz", hash = "sha256:22f814c7b4f5f76e945c35924ff288f6dfbe33747db2a029162ef1d4f8566493"},
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+[package.dependencies]
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+langgraph = ">=1.0.0,<1.1.0"
+pydantic = ">=2.7.4,<3.0.0"
+
+[package.extras]
+anthropic = ["langchain-anthropic"]
+aws = ["langchain-aws"]
+community = ["langchain-community"]
+deepseek = ["langchain-deepseek"]
+fireworks = ["langchain-fireworks"]
+google-genai = ["langchain-google-genai"]
+google-vertexai = ["langchain-google-vertexai"]
+groq = ["langchain-groq"]
+huggingface = ["langchain-huggingface"]
+mistralai = ["langchain-mistralai"]
+ollama = ["langchain-ollama"]
+openai = ["langchain-openai"]
+perplexity = ["langchain-perplexity"]
+together = ["langchain-together"]
+xai = ["langchain-xai"]
+
 [[package]]
 name = "langchain-core"
-version = "0.3.52"
+version = "1.0.0rc1"
 description = "Building applications with LLMs through composability"
-optional = false
-python-versions = "<4.0,>=3.9"
-groups = ["main", "langchain"]
+optional = true
+python-versions = "<4.0.0,>=3.10.0"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"langchain\" or extra == \"composio\""
 files = [
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+    {file = "langchain_core-1.0.0rc1.tar.gz", hash = "sha256:fb26e250460d198d26cdbc8197bb9b137cf481741c8833fbb58a1d8c1eb8467c"},
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 [package.dependencies]
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+typing-extensions = ">=4.7.0,<5.0.0"
+
+[[package]]
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+optional = true
+python-versions = "<4.0.0,>=3.10.0"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"langchain\" or extra == \"composio\""
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 ]
-PyYAML = ">=5.3"
+
+[package.dependencies]
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 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
-typing-extensions = ">=4.7"
+typing-extensions = ">=4.7.0,<5.0.0"
 
 [[package]]
 name = "langchain-openai"
-version = "0.3.13"
+version = "0.3.34"
 description = "An integration package connecting OpenAI and LangChain"
-optional = false
-python-versions = "<4.0,>=3.9"
-groups = ["langchain"]
+optional = true
+python-versions = "<4.0.0,>=3.9.0"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"langchain\" or extra == \"composio\""
+files = [
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+    {file = "langchain_openai-0.3.34.tar.gz", hash = "sha256:57916d462be5b8fd19e5cb2f00d4e5cf0465266a292d583de2fc693a55ba190e"},
+]
+
+[package.dependencies]
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+tiktoken = ">=0.7.0,<1.0.0"
+
+[[package]]
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+version = "1.0.0a4"
+description = "Building stateful, multi-actor applications with LLMs"
+optional = true
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"composio\" or extra == \"langchain\""
+files = [
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+
+[package.dependencies]
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+langgraph-sdk = ">=0.2.2,<0.3.0"
+pydantic = ">=2.7.4"
+xxhash = ">=3.5.0"
+
+[[package]]
+name = "langgraph"
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+description = "Building stateful, multi-actor applications with LLMs"
+optional = true
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"composio\" or extra == \"langchain\""
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+    {file = "langgraph-1.0.1.tar.gz", hash = "sha256:4985b32ceabb046a802621660836355dfcf2402c5876675dc353db684aa8f563"},
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+[package.dependencies]
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+
+[[package]]
+name = "langgraph-checkpoint"
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+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"composio\" or extra == \"langchain\""
+files = [
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+    {file = "langgraph_checkpoint-2.1.2.tar.gz", hash = "sha256:112e9d067a6eff8937caf198421b1ffba8d9207193f14ac6f89930c1260c06f9"},
+]
+
+[package.dependencies]
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+ormsgpack = ">=1.10.0"
+
+[[package]]
+name = "langgraph-checkpoint-postgres"
+version = "2.0.25"
+description = "Library with a Postgres implementation of LangGraph checkpoint saver."
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
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+fpx = ["olefile"]
+mic = ["olefile"]
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+typing = ["typing-extensions ; python_version < \"3.10\""]
+xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
@@ -1218,7 +4017,7 @@ version = "4.3.7"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
+groups = ["main", "dev"]
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@@ -1245,6 +4044,52 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
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+markers = "extra == \"all\" or extra == \"crewai\""
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+
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+python-versions = ">=3.9"
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+
+[package.extras]
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+
 [[package]]
 name = "pre-commit"
 version = "4.2.0"
@@ -1264,6 +4109,22 @@ nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
+[[package]]
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+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
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+
+[package.dependencies]
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+
 [[package]]
 name = "propcache"
 version = "0.3.1"
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+python-versions = ">=3.7"
+groups = ["main"]
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+[package.dependencies]
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+
+[package.extras]
+testing = ["google-api-core (>=1.31.5)"]
+
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 python-versions = ">=3.8"
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 timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
 
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+
+[[package]]
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+optional = true
+python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
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+
+[[package]]
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+version = "0.48.9"
+description = "A SQL query builder API for Python"
+optional = true
+python-versions = "*"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
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+groups = ["main"]
+markers = "sys_platform == \"win32\" and (extra == \"all\" or extra == \"crewai\")"
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+dev = ["build", "flake8", "mypy", "pytest", "twine"]
+
+[[package]]
+name = "pysher"
+version = "1.0.8"
+description = "Pusher websocket client for python, based on Erik Kulyk's PythonPusherClient"
+optional = true
+python-versions = "*"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"composio\""
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+]
+
+[package.dependencies]
+requests = ">=2.26.0"
+websocket-client = "!=0.49"
 
 [[package]]
 name = "pytest"
@@ -1623,13 +5127,90 @@ files = [
 [package.dependencies]
 six = ">=1.5"
 
+[[package]]
+name = "python-dotenv"
+version = "1.1.1"
+description = "Read key-value pairs from a .env file and set them as environment variables"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+    {file = "python_dotenv-1.1.1.tar.gz", hash = "sha256:a8a6399716257f45be6a007360200409fce5cda2661e3dec71d23dc15f6189ab"},
+]
+
+[package.extras]
+cli = ["click (>=5.0)"]
+
+[[package]]
+name = "python-multipart"
+version = "0.0.20"
+description = "A streaming multipart parser for Python"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"mcp\""
+files = [
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+    {file = "python_multipart-0.0.20.tar.gz", hash = "sha256:8dd0cab45b8e23064ae09147625994d090fa46f5b0d1e13af944c331a7fa9d13"},
+]
+
+[[package]]
+name = "pyvis"
+version = "0.3.2"
+description = "A Python network graph visualization library"
+optional = true
+python-versions = ">3.6"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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+ipython = ">=5.3.0"
+jinja2 = ">=2.9.6"
+jsonpickle = ">=1.4.1"
+networkx = ">=1.11"
+
+[[package]]
+name = "pywin32"
+version = "311"
+description = "Python for Window Extensions"
+optional = true
+python-versions = "*"
+groups = ["main"]
+markers = "sys_platform == \"win32\" and platform_system == \"Windows\" and (extra == \"all\" or extra == \"crewai\" or extra == \"mcp\") or (extra == \"all\" or extra == \"mcp\") and sys_platform == \"win32\" or (extra == \"all\" or extra == \"crewai\") and platform_system == \"Windows\""
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+    {file = "pywin32-311-cp39-cp39-win32.whl", hash = "sha256:aba8f82d551a942cb20d4a83413ccbac30790b50efb89a75e4f586ac0bb8056b"},
+    {file = "pywin32-311-cp39-cp39-win_amd64.whl", hash = "sha256:e0c4cfb0621281fe40387df582097fd796e80430597cb9944f0ae70447bacd91"},
+    {file = "pywin32-311-cp39-cp39-win_arm64.whl", hash = "sha256:62ea666235135fee79bb154e695f3ff67370afefd71bd7fea7512fc70ef31e3d"},
+]
+
 [[package]]
 name = "pyyaml"
 version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev", "langchain"]
+groups = ["main", "dev"]
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -1685,6 +5266,7 @@ files = [
     {file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"},
     {file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
 ]
+markers = {main = "extra == \"all\" or extra == \"langchain\" or extra == \"composio\" or extra == \"crewai\""}
 
 [[package]]
 name = "referencing"
@@ -1707,9 +5289,10 @@ typing-extensions = {version = ">=4.4.0", markers = "python_version < \"3.13\""}
 name = "regex"
 version = "2024.11.6"
 description = "Alternative regular expression module, to replace re."
-optional = false
+optional = true
 python-versions = ">=3.8"
-groups = ["langchain"]
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\" or extra == \"langchain\" or extra == \"composio\""
 files = [
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"},
     {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"},
@@ -1813,7 +5396,7 @@ version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "langchain"]
+groups = ["main"]
 files = [
     {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
     {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
@@ -1829,13 +5412,34 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "requests-oauthlib"
+version = "2.0.0"
+description = "OAuthlib authentication support for Requests."
+optional = true
+python-versions = ">=3.4"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "requests-oauthlib-2.0.0.tar.gz", hash = "sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9"},
+    {file = "requests_oauthlib-2.0.0-py2.py3-none-any.whl", hash = "sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36"},
+]
+
+[package.dependencies]
+oauthlib = ">=3.0.0"
+requests = ">=2.0.0"
+
+[package.extras]
+rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
+
 [[package]]
 name = "requests-toolbelt"
 version = "1.0.0"
 description = "A utility belt for advanced users of python-requests"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-groups = ["main", "langchain"]
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"langchain\" or extra == \"composio\""
 files = [
     {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
     {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
@@ -1844,6 +5448,26 @@ files = [
 [package.dependencies]
 requests = ">=2.0.1,<3.0.0"
 
+[[package]]
+name = "rich"
+version = "14.2.0"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+optional = true
+python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "rich-14.2.0-py3-none-any.whl", hash = "sha256:76bc51fe2e57d2b1be1f96c524b890b816e334ab4c1e45888799bfaab0021edd"},
+    {file = "rich-14.2.0.tar.gz", hash = "sha256:73ff50c7c0c1c77c8243079283f4edb376f0f6442433aecb8ce7e6d0b92d1fe4"},
+]
+
+[package.dependencies]
+markdown-it-py = ">=2.2.0"
+pygments = ">=2.13.0,<3.0.0"
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
 [[package]]
 name = "rpds-py"
 version = "0.24.0"
@@ -1968,6 +5592,22 @@ files = [
     {file = "rpds_py-0.24.0.tar.gz", hash = "sha256:772cc1b2cd963e7e17e6cc55fe0371fb9c704d63e44cacec7b9b7f523b78919e"},
 ]
 
+[[package]]
+name = "rsa"
+version = "4.9.1"
+description = "Pure-Python RSA implementation"
+optional = true
+python-versions = "<4,>=3.6"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\" or extra == \"a2a-inbound\" or extra == \"a2a-outbound\""
+files = [
+    {file = "rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762"},
+    {file = "rsa-4.9.1.tar.gz", hash = "sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75"},
+]
+
+[package.dependencies]
+pyasn1 = ">=0.1.3"
+
 [[package]]
 name = "ruff"
 version = "0.11.5"
@@ -1996,6 +5636,19 @@ files = [
     {file = "ruff-0.11.5.tar.gz", hash = "sha256:cae2e2439cb88853e421901ec040a758960b576126dab520fa08e9de431d1bef"},
 ]
 
+[[package]]
+name = "shellingham"
+version = "1.5.4"
+description = "Tool to Detect Surrounding Shell"
+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
+    {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
+    {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
+]
+
 [[package]]
 name = "six"
 version = "1.17.0"
@@ -2014,19 +5667,217 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "crewai", "langchain"]
+groups = ["main"]
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
 ]
 
+[[package]]
+name = "sortedcontainers"
+version = "2.4.0"
+description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
+    {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
+]
+
+[[package]]
+name = "sqlalchemy"
+version = "2.0.44"
+description = "Database Abstraction Library"
+optional = true
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+]
+
+[package.dependencies]
+huggingface-hub = ">=0.16.4,<2.0"
+
+[package.extras]
+dev = ["tokenizers[testing]"]
+docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff"]
+
 [[package]]
 name = "tomli"
 version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
-markers = "python_version < \"3.11\""
+groups = ["main", "dev"]
 files = [
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+markers = {main = "extra == \"all\" or extra == \"crewai\"", dev = "python_version == \"3.10\""}
+
+[[package]]
+name = "tomli-w"
+version = "1.2.0"
+description = "A lil' TOML writer"
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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 [[package]]
 name = "tqdm"
@@ -2133,7 +6032,7 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
-groups = ["crewai", "langchain"]
+groups = ["main"]
 files = [
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@@ -2149,13 +6048,49 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "traitlets"
+version = "5.14.3"
+description = "Traitlets Python configuration system"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
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+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
+
+[[package]]
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+version = "0.19.2"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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+rich = ">=10.11.0"
+shellingham = ">=1.3.0"
+typing-extensions = ">=3.7.4.3"
+
 [[package]]
 name = "typing-extensions"
 version = "4.13.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "crewai", "langchain"]
+groups = ["main"]
 files = [
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@@ -2167,7 +6102,7 @@ version = "0.4.0"
 description = "Runtime typing introspection tools"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "crewai", "langchain"]
+groups = ["main"]
 files = [
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@@ -2176,6 +6111,19 @@ files = [
 [package.dependencies]
 typing-extensions = ">=4.12.0"
 
+[[package]]
+name = "tzdata"
+version = "2025.2"
+description = "Provider of IANA time zone data"
+optional = true
+python-versions = ">=2"
+groups = ["main"]
+markers = "(extra == \"all\" or extra == \"composio\") and sys_platform == \"win32\""
+files = [
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+    {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
+]
+
 [[package]]
 name = "uagents"
 version = "0.22.3"
@@ -2223,7 +6171,7 @@ version = "2.4.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "langchain"]
+groups = ["main"]
 files = [
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@@ -2235,6 +6183,36 @@ h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "uv"
+version = "0.9.2"
+description = "An extremely fast Python package and project manager, written in Rust."
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"all\" or extra == \"crewai\""
+files = [
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 [[package]]
 name = "uvicorn"
 version = "0.34.1"
@@ -2249,19 +6227,79 @@ files = [
 
 [package.dependencies]
 click = ">=7.0"
+colorama = {version = ">=0.4", optional = true, markers = "sys_platform == \"win32\" and extra == \"standard\""}
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+python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
+pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
 typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
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+watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
+websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
 
 [package.extras]
 standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
+[[package]]
+name = "uvloop"
+version = "0.21.0"
+description = "Fast implementation of asyncio event loop on top of libuv"
+optional = true
+python-versions = ">=3.8.0"
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 multidict = ">=4.0"
 propcache = ">=0.2.1"
 
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+    {file = "zstandard-0.25.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:89c4b48479a43f820b749df49cd7ba2dbc2b1b78560ecb5ab52985574fd40b27"},
+    {file = "zstandard-0.25.0-cp39-cp39-win32.whl", hash = "sha256:1cd5da4d8e8ee0e88be976c294db744773459d51bb32f707a0f166e5ad5c8649"},
+    {file = "zstandard-0.25.0-cp39-cp39-win_amd64.whl", hash = "sha256:37daddd452c0ffb65da00620afb8e17abd4adaae6ce6310702841760c2c26860"},
+    {file = "zstandard-0.25.0.tar.gz", hash = "sha256:7713e1179d162cf5c7906da876ec2ccb9c3a9dcbdffef0cc7f70c3667a205f0b"},
+]
+
+[package.extras]
+cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and python_version < \"3.14\"", "cffi (>=2.0.0b) ; platform_python_implementation != \"PyPy\" and python_version >= \"3.14\""]
+
+[extras]
+a2a-inbound = ["a2a-sdk"]
+a2a-outbound = ["a2a-sdk"]
+all = ["a2a-sdk", "composio", "composio-langchain", "crewai", "langchain", "langchain-core", "langchain-openai", "langgraph", "langgraph-checkpoint-postgres", "mcp", "psycopg"]
+composio = ["composio", "composio-langchain", "langchain", "langchain-openai", "langgraph", "langgraph-checkpoint-postgres", "psycopg"]
+crewai = ["crewai"]
+langchain = ["langchain", "langchain-core", "langchain-openai"]
+mcp = ["mcp"]
+
 [metadata]
 lock-version = "2.1"
-python-versions = "^3.10"
-content-hash = "46815d1667945fff712def84b02424955122f359a44eec3be48d18d00ea9aed0"
+python-versions = ">=3.10,<3.14"
+content-hash = "5989f642ba777c907710c1b947b85493d73bb690f5d5f600c5b16a2bdc0c7184"
diff --git a/python/uagents-adapter/pyproject.toml b/python/uagents-adapter/pyproject.toml
index cabcaa8c..c9dc4cc5 100644
--- a/python/uagents-adapter/pyproject.toml
+++ b/python/uagents-adapter/pyproject.toml
@@ -5,8 +5,8 @@ description = "Adapters for uAgents to integrate with LangChain, CrewAI, MCP, an
 authors = [{ name = "Fetch.AI Limited" }]
 license = { text = "Apache 2.0" }
 readme = "README.md"
-keywords = ["uagents", "agents", "langchain", "crewai", "mcp", "a2a", "fetch.ai"]
-requires-python = ">=3.10,<4.0"
+keywords = ["uagents", "agents", "langchain", "crewai", "mcp", "a2a", "fetch.ai", "composio"]
+requires-python = ">=3.10,<3.14"
 dependencies = [
     "uagents (>=0.22.3)",
     "pydantic (>=2.8,<3.0)",
@@ -21,17 +21,22 @@ dependencies = [
 [project.optional-dependencies]
 # Base package dependencies (installed by default)
 all = [
-    "langchain-core (>=0.3.52,<0.4.0)",
-    "langchain (>=0.3.0)",
-    "langchain-openai (>=0.2.0)",
+    "langchain-core (>=0.3.52)",
     "crewai (==0.203.1)",
     "mcp (>=1.8.1)",
     "a2a-sdk[all,sqlite,sql] (>=0.2.11)",
+    "composio (>=0.8.16)",
+    "composio-langchain (>=0.8.14)",
+    "langchain-openai (>=0.3.33)",
+    "langchain (==1.0.2)",
+    "langgraph (>=0.6.8)",
+    "langgraph-checkpoint-postgres (>=2.0.24)",
+    "psycopg[pool] (>=3.2.10)",
 ]
 
 # LangChain support
 langchain = [
-    "langchain-core (>=0.3.52,<0.4.0)",
+    "langchain-core (>=0.3.52)",
     "langchain (>=0.3.0)",
     "langchain-openai (>=0.2.0)",
 ]
@@ -56,6 +61,16 @@ a2a-outbound = [
     "a2a-sdk[all,sqlite,sql] (>=0.2.11)",
 ]
 
+# Composio support
+composio = [
+    "composio (>=0.8.16)",
+    "composio-langchain (>=0.8.14)",
+    "langchain-openai (>=0.3.33)",
+    "langchain (==1.0.2)",
+    "langgraph (>=0.6.8)",
+    "langgraph-checkpoint-postgres (>=2.0.24)",
+    "psycopg[pool] (>=3.2.10)",
+]
 
 [tool.poetry]
 # install from src/uagents_adapter folder
@@ -95,4 +110,4 @@ select = [
 ignore = ["PLR0913", "PLR0912", "PLR0911", "PLR2004", "PLR0915"]
 
 [tool.ruff.lint.pycodestyle]
-max-line-length = 100 
\ No newline at end of file
+max-line-length = 100
\ No newline at end of file
diff --git a/python/uagents-adapter/src/uagents_adapter/__init__.py b/python/uagents-adapter/src/uagents_adapter/__init__.py
index daf54388..33f935d6 100644
--- a/python/uagents-adapter/src/uagents_adapter/__init__.py
+++ b/python/uagents-adapter/src/uagents_adapter/__init__.py
@@ -1,4 +1,4 @@
-"""Adapters for uAgents to integrate with LangChain, CrewAI, and MCP."""
+"""Adapters for uAgents to integrate with LangChain, CrewAI, MCP, Composio and A2A."""
 
 from importlib import metadata
 
@@ -22,6 +22,36 @@
     A2A_AVAILABLE = False
     # Do not define placeholders; raise a clear ImportError on access instead
 
+try:
+    from .composio import (
+        AfterExecute,
+        AfterExecuteParam,
+        AuthConfigId,
+        AuthenticationError,
+        AuthResponse,
+        BeforeExecute,
+        BeforeExecuteParam,
+        ComposioConfig,
+        ComposioError,
+        ComposioService,
+        ConfigurationError,
+        ConnectionError,
+        ConnectionStatus,
+        Modifiers,
+        PostgresMemoryConfig,
+        SchemaModifier,
+        SchemaModifierParam,
+        SessionId,
+        ToolConfig,
+        ToolRetrievalError,
+        ToolSlug,
+        UserId,
+    )
+
+    COMPOSIO_AVAILABLE = True
+except ImportError:
+    COMPOSIO_AVAILABLE = False
+
 try:
     __version__ = metadata.version(__package__)
 except metadata.PackageNotFoundError:
@@ -52,3 +82,40 @@
             "SingleA2AAdapter",
         ]
     )
+else:
+    print(
+        "A2A modules are not available. Please install the required dependencies to use A2A features."
+    )
+
+if COMPOSIO_AVAILABLE:
+    __all__.extend(
+        [
+            # Main classes
+            "ComposioService",
+            "ComposioConfig",
+            "ToolConfig",
+            "Modifiers",
+            "PostgresMemoryConfig",
+            # Response models
+            "ConnectionStatus",
+            "AuthResponse",
+            # Exceptions
+            "ComposioError",
+            "AuthenticationError",
+            "ConnectionError",
+            "ConfigurationError",
+            "ToolRetrievalError",
+            # Type aliases
+            "UserId",
+            "AuthConfigId",
+            "ToolSlug",
+            "SessionId",
+            # Tool types
+            "SchemaModifier",
+            "BeforeExecute",
+            "AfterExecute",
+            "SchemaModifierParam",
+            "BeforeExecuteParam",
+            "AfterExecuteParam",
+        ]
+    )
diff --git a/python/uagents-adapter/src/uagents_adapter/composio/README.md b/python/uagents-adapter/src/uagents_adapter/composio/README.md
new file mode 100644
index 00000000..3cf5a911
--- /dev/null
+++ b/python/uagents-adapter/src/uagents_adapter/composio/README.md
@@ -0,0 +1,450 @@
+# uAgents Composio Adapter
+
+Seamlessly integrate uAgents with Composio, enabling agents to access and use third-party tools and toolkits through a unified interface.
+
+## 🏁 Quick Start
+
+### 1. Basic Setup
+
+```python
+import asyncio
+from uagents import Agent
+from uagents_adapter import ComposioConfig, ToolConfig, ComposioService
+
+async def main():
+    # Configure tools
+    tool_config = ToolConfig.from_toolkit(
+        tool_group_name="Linkedin Tools",
+        auth_config_id="your_linkedin_auth_config_id",
+        toolkit="LINKEDIN"
+    )
+
+    # Create Composio configuration
+    composio_config = ComposioConfig.from_env(tool_configs=[tool_config])
+
+    # Initialize agent
+    agent = Agent(
+        name="My Composio Agent", 
+        seed="my_seed", 
+        port=8001, 
+        mailbox=True
+    )
+
+    # Create and configure Composio service
+    async with ComposioService(composio_config=composio_config) as service:
+        agent.include(service.protocol, publish_manifest=True)
+        await agent.run_async()
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+> **Note**: For advanced use cases with tool modifiers, see the [Tool Modifiers](#tool-modifiers-for-customization) section below.
+
+### 2. Environment Variables
+
+Create a `.env` file with the following variables:
+
+```bash
+# Composio Configuration
+COMPOSIO_API_KEY=your_composio_api_key_here
+COMPOSIO_DEFAULT_TIMEOUT=300
+
+# LLM Configuration (ASI1 or OpenAI compatible)
+LLM_API_KEY=your_llm_api_key_here
+LLM_BASE_URL=https://api.asi1.ai/v1
+LLM_MODEL_NAME=asi1-mini
+
+# PostgreSQL Configuration (optional - for memory persistence)
+PSQL_HOST=localhost
+PSQL_PORT=5432
+PSQL_DATABASE=composio_memory
+PSQL_USERNAME=your_db_username
+PSQL_PASSWORD=your_db_password
+```
+
+## 📚 Comprehensive Examples
+
+### Tool Configuration Patterns
+
+```python
+from uagents_adapter import ToolConfig
+
+# 1. Specific tools by name
+github_tools = ToolConfig.from_tools(
+    tool_group_name="GitHub Issue Management",
+    auth_config_id="auth_123",
+    tools=["GITHUB_CREATE_AN_ISSUE", "GITHUB_LIST_ISSUES"]
+)
+
+# 2. All tools from a toolkit with limit
+slack_tools = ToolConfig.from_toolkit(
+    tool_group_name="Slack Communication",
+    auth_config_id="auth_456",
+    toolkit="SLACK",
+    limit=10
+)
+
+# 3. Tools filtered by OAuth scopes
+gmail_tools = ToolConfig.from_toolkit_with_scopes(
+    tool_group_name="Email Management",
+    auth_config_id="auth_789",
+    toolkit="GMAIL",
+    scopes=["gmail.send", "gmail.compose"], # can also be done from composio dashboard
+    limit=5
+)
+
+# 4. Semantic search for relevant tools
+crm_tools = ToolConfig.from_search(
+    tool_group_name="CRM Tools",
+    auth_config_id="auth_101",
+    search="customer relationship management contacts",
+    limit=8
+)
+```
+
+### Tool Modifiers for Customization
+
+```python
+from uagents_adapter import Modifiers, SchemaModifierParam, BeforeExecuteParam, AfterExecuteParam
+
+# Define modifier functions (no decorators needed)
+def enhance_github_schema(tool_name: str, toolkit: str, schema: SchemaModifierParam) -> SchemaModifierParam:
+    schema.description += " [Enhanced with context awareness]"
+    return schema
+
+# Before-execute modifier to inject parameters
+def add_slack_context(tool_name: str, toolkit: str, params: BeforeExecuteParam) -> BeforeExecuteParam:
+    if 'channel' not in params.arguments:
+        params.arguments['channel'] = '#general'
+    return params
+
+# After-execute modifier to process results
+def log_email_sent(tool_name: str, toolkit: str, response: AfterExecuteParam) -> AfterExecuteParam:
+    print(f"Email sent successfully via {tool_name}")
+    return response
+
+# Combine modifiers using function-to-tools mapping
+modifiers = Modifiers.combine(
+    schema_functions={enhance_github_schema: ["GITHUB_CREATE_AN_ISSUE"]},
+    before_execute_functions={add_slack_context: ["SLACK_SEND_MESSAGE"]},
+    after_execute_functions={log_email_sent: ["GMAIL_SEND_EMAIL"]}
+)
+
+# Apply to tool configuration
+config = ToolConfig.from_toolkit(
+    tool_group_name="Enhanced Tools",
+    auth_config_id="auth_123",
+    toolkit="GITHUB",
+    modifiers=modifiers
+)
+```
+
+### Real-World Modifier Example
+
+```python
+from uagents_adapter import ToolConfig, Modifiers, AfterExecuteParam
+
+# After-execute modifier to log LinkedIn data loading
+def show_loaded_linkedin_data(
+    tool: str,
+    toolkit: str,
+    response: AfterExecuteParam
+) -> AfterExecuteParam:
+    print(f"\n[LinkedIn Data Loaded] Tool: {tool}, Toolkit: {toolkit}, Response: {response}\n")
+    return response
+
+# Create tool configuration with modifier
+linkedin_tool_config = ToolConfig.from_toolkit(
+    tool_group_name="LinkedIn Marketing",
+    auth_config_id="your_linkedin_auth_config_id",
+    toolkit="LINKEDIN",
+    modifiers=Modifiers.combine(
+        after_execute_functions={
+            show_loaded_linkedin_data: ["LINKEDIN_GET_MY_INFO"]
+        }
+    )
+)
+```
+
+### Memory Persistence with PostgreSQL
+
+```python
+from uagents_adapter import PostgresMemoryConfig, ComposioService
+
+# Configure PostgreSQL memory
+memory_config = PostgresMemoryConfig.from_env()
+
+# Or configure manually
+memory_config = PostgresMemoryConfig(
+    host="localhost",
+    port=5432,
+    database="agent_memory",
+    user="postgres",
+    password="your_password"
+)
+
+# Use with ComposioService
+async with ComposioService(
+    composio_config=composio_config,
+    memory_config=memory_config
+) as service:
+    # Service now has persistent conversation memory
+    agent.include(service.protocol, publish_manifest=True)
+```
+
+### Multi-Agent Orchestrator System
+
+```python
+import asyncio
+from uagents import Agent
+from uagents_adapter import ComposioConfig, ToolConfig, ComposioService
+
+async def main():
+    # Multiple tool configurations for different specialized agents
+    tool_configs = [
+        ToolConfig.from_toolkit(
+            tool_group_name="GitHub Management",
+            auth_config_id=os.getenv("GITHUB_AUTH_ID"),
+            toolkit="GITHUB",
+            limit=5
+        ),
+        ToolConfig.from_toolkit(
+            tool_group_name="Email Operations",
+            auth_config_id=os.getenv("GMAIL_AUTH_ID"),
+            toolkit="GMAIL",
+            limit=3
+        ),
+        ToolConfig.from_toolkit(
+            tool_group_name="Calendar Management",
+            auth_config_id=os.getenv("CALENDAR_AUTH_ID"),
+            toolkit="GOOGLECALENDAR",
+            limit=4
+        )
+    ]
+
+    # Create configuration with persona prompt
+    composio_config = ComposioConfig.from_env(
+        tool_configs=tool_configs,
+        persona_prompt="You are a productivity-focused AI assistant. Prioritize efficiency and provide clear, actionable guidance for task automation."
+    )
+
+    # Initialize agent
+    agent = Agent(
+        name="Multi-Agent Orchestrator",
+        seed="orchestrator_seed",
+        port=8001,
+        mailbox=True
+    )
+
+    # Create orchestrator service with specialized agents
+    async with ComposioService(composio_config=composio_config) as service:
+        # The service automatically creates specialized agents based on tool configurations:
+        # - One specialized agent for each tool group (e.g., GitHub Management, Email Operations)
+        # - Each agent optimized for its specific domain with tailored prompts and capabilities
+        # - Main Orchestrator Agent that intelligently routes requests to appropriate specialists
+
+        agent.include(service.protocol, publish_manifest=True)
+        logger.info("🚀 Multi-agent orchestrator system started!")
+        await agent.run_async()
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+### Complete Production Example
+
+```python
+import os
+import asyncio
+import logging
+from uagents import Agent
+from uagents_adapter import (
+    ComposioConfig, ToolConfig, ComposioService,
+    PostgresMemoryConfig, Modifiers, AfterExecuteParam
+)
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+async def main():
+    # Define modifier function for LinkedIn data logging
+    def show_loaded_linkedin_data(
+        tool: str,
+        toolkit: str,
+        response: AfterExecuteParam
+    ) -> AfterExecuteParam:
+        print(f"\n[LinkedIn Data Loaded] Tool: {tool}, Toolkit: {toolkit}, Response: {response}\n")
+        return response
+
+    # Multiple tool configurations with modifiers
+    tool_configs = [
+        ToolConfig.from_tools(
+            tool_group_name="Repository Tracker",
+            auth_config_id=os.getenv("GITHUB_AUTH_CONFIG_ID"),
+            tools=[
+                "GITHUB_LIST_COMMITS",
+                "GITHUB_GET_A_COMMIT",
+                "GITHUB_GET_A_REPOSITORY",
+                "GITHUB_COMPARE_TWO_COMMITS",
+                "GITHUB_LIST_RELEASES",
+                "GITHUB_GET_REPOSITORY_CONTENT"
+            ]
+        ),
+        ToolConfig.from_toolkit(
+            tool_group_name="LinkedIn Marketing",
+            auth_config_id=os.getenv("LINKEDIN_AUTH_CONFIG_ID"),
+            toolkit="LINKEDIN",
+            modifiers=Modifiers.combine(
+                after_execute_functions={
+                    show_loaded_linkedin_data: ["LINKEDIN_GET_MY_INFO"]
+                }
+            )
+        )
+    ]
+
+    # Create configurations with persona prompt
+    composio_config = ComposioConfig.from_env(
+        tool_configs=tool_configs,
+        persona_prompt="You are a productivity-focused AI assistant for building in public..."
+    )
+    memory_config = PostgresMemoryConfig.from_env()
+
+    # Initialize agent
+    agent = Agent(
+        name="BuildInPublic Agent",
+        seed="build_public_secret_seed_123123",
+        port=8001,
+        mailbox=True
+    )
+
+    # Run with proper resource management
+    async with ComposioService(
+        composio_config=composio_config,
+        memory_config=memory_config
+    ) as service:
+        # Health check
+        health = await service.health_check()
+        if health['status'] != 'healthy':
+            logger.error(f"Service unhealthy: {health}")
+            return
+
+        # Integrate with agent
+        agent.include(service.protocol, publish_manifest=True)
+
+        logger.info("🚀 BuildInPublic agent started successfully!")
+        await agent.run_async()
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+## 🏗️ Architecture
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│                    uAgents Agent                            │
+├─────────────────────────────────────────────────────────────┤
+│                 ComposioService                             │
+│  ┌─────────────────────────────────────────────────────┐    │
+│  │               Protocol Handler                      │    │
+│  │  ┌─────────────────────────────────────────────┐    │    │
+│  │  │           Authentication Flow               │    │    │
+│  │  └─────────────────────────────────────────────┘    │    │
+│  │  ┌─────────────────────────────────────────────┐    │    │
+│  │  │          Orchestrator Agent                 │    │    │
+│  │  │  ┌─────────────┬─────────────┬───────────┐  │    │    │
+│  │  │  │ Tool Group  │ Tool Group  │   ...     │  │    │    │
+│  │  │  │ Agent A     │ Agent B     │ Agent N   │  │    │    │
+│  │  │  └─────────────┴─────────────┴───────────┘  │    │    │
+│  │  └─────────────────────────────────────────────┘    │    │
+│  │  ┌─────────────────────────────────────────────┐    │    │
+│  │  │           Tool Management                   │    │    │
+│  │  │        (Dynamic Tool Groups)                │    │    │
+│  │  └─────────────────────────────────────────────┘    │    │
+│  └─────────────────────────────────────────────────────┘    │
+├─────────────────────────────────────────────────────────────┤
+│                  ComposioClient                             │
+│              (Composio API Interface)                       │
+├─────────────────────────────────────────────────────────────┤
+│               PostgreSQL Memory                             │
+│            (Optional Persistence)                           │
+└─────────────────────────────────────────────────────────────┘
+```
+
+## 📖 API Reference
+
+### Core Classes
+
+#### `ComposioService`
+Main service class for Composio integration with multi-agent orchestrator support.
+
+```python
+class ComposioService:
+    def __init__(
+        self,
+        composio_config: ComposioConfig,
+        api_key: str | None = None,
+        model_name: str | None = None,
+        base_url: str | None = None,
+        memory_config: PostgresMemoryConfig | None = None,
+    ) -> None: ...
+
+    @property
+    def protocol(self) -> Protocol: ...
+
+    async def health_check(self) -> dict[str, Any]: ...
+    async def cleanup(self) -> None: ...
+```
+
+#### `ComposioConfig`
+Configuration class with persona prompt support.
+
+```python
+class ComposioConfig:
+    api_key: str
+    persona_prompt: str | None = None
+    tool_configs: list[ToolConfig]
+    timeout: int = 300
+
+    @classmethod
+    def from_env(
+        cls,
+        tool_configs: list[ToolConfig] | None = None,
+        persona_prompt: str | None = None,
+    ) -> "ComposioConfig": ...
+```
+
+#### `ToolConfig`
+Configuration for tool retrieval with multiple patterns.
+
+```python
+class ToolConfig:
+    @classmethod
+    def from_tools(cls, tool_group_name: str, auth_config_id: str, tools: list[str]) -> "ToolConfig": ...
+
+    @classmethod
+    def from_toolkit(cls, tool_group_name: str, auth_config_id: str, toolkit: str, limit: int | None = None) -> "ToolConfig": ...
+
+    @classmethod
+    def from_search(cls, tool_group_name: str, auth_config_id: str, search: str, toolkit: str | None = None, limit: int | None = None) -> "ToolConfig": ...
+```
+
+#### `Modifiers`
+Tool modifier management for customization.
+
+```python
+class Modifiers:
+    @classmethod
+    def with_schema(cls, modifiers: dict[SchemaModifierFunc, list[str]]) -> "Modifiers": ...
+
+    @classmethod
+    def with_before_execute(cls, modifiers: dict[BeforeExecuteModifierFunc, list[str]]) -> "Modifiers": ...
+
+    @classmethod
+    def with_after_execute(cls, modifiers: dict[AfterExecuteModifierFunc, list[str]]) -> "Modifiers": ...
+
+    @classmethod
+    def combine(cls, schema_functions: dict | None = None, before_execute_functions: dict | None = None, after_execute_functions: dict | None = None) -> "Modifiers": ...
+```
diff --git a/python/uagents-adapter/src/uagents_adapter/composio/__init__.py b/python/uagents-adapter/src/uagents_adapter/composio/__init__.py
new file mode 100644
index 00000000..0f6512bd
--- /dev/null
+++ b/python/uagents-adapter/src/uagents_adapter/composio/__init__.py
@@ -0,0 +1,94 @@
+"""
+uAgents Composio Adapter
+
+A production-ready Composio integration module for LangChain-based AI agents with multi-agent
+orchestrator built on uAgents framework.
+
+This module provides a comprehensive, async-first integration layer for building
+intelligent multi-agent systems that can authenticate users, manage tool access, and
+execute actions through the Composio platform. It features an advanced orchestrator
+architecture that automatically routes requests to specialized tool agents based on
+their capabilities and includes robust error handling, structured logging, connection
+management, and memory persistence capabilities.
+
+Key Features:
+    - Multi-agent orchestrator system with intelligent request routing
+    - Specialized agents for different tool groups and capabilities
+    - Persona customization for orchestrator behavior guidance
+    - Async/await support throughout the entire system
+    - Type-safe configuration management with comprehensive validation
+    - Robust error handling with custom exceptions and detailed context
+    - Structured logging with contextual information and performance metrics
+    - Complete OAuth authentication flows with automatic retry logic
+    - Advanced tool retrieval with filtering, modification, and optimization
+    - PostgreSQL-based conversation memory with automatic schema management
+    - Thread-safe operations with proper resource management and connection pooling
+"""
+
+from importlib import metadata
+
+from .adapter import (
+    AfterExecute,
+    AfterExecuteParam,
+    AuthConfigId,
+    AuthenticationError,
+    AuthResponse,
+    BeforeExecute,
+    BeforeExecuteParam,
+    ComposioConfig,
+    ComposioError,
+    ComposioService,
+    ConfigurationError,
+    ConnectionError,
+    ConnectionStatus,
+    Modifiers,
+    PostgresMemoryConfig,
+    SchemaModifier,
+    SchemaModifierParam,
+    SessionId,
+    ToolConfig,
+    ToolRetrievalError,
+    ToolSlug,
+    UserId,
+)
+
+try:
+    __version__ = metadata.version(
+        __package__.split(".")[0] if __package__ else "uagents-adapter"
+    )
+except metadata.PackageNotFoundError:
+    # Case where package metadata is not available.
+    __version__ = ""
+del metadata  # optional, avoids polluting the results of dir(__package__)
+
+__all__ = [
+    # Main classes
+    "ComposioService",
+    "ComposioConfig",
+    "ToolConfig",
+    "Modifiers",
+    "PostgresMemoryConfig",
+    # Response models
+    "ConnectionStatus",
+    "AuthResponse",
+    # Exceptions
+    "ComposioError",
+    "AuthenticationError",
+    "ConnectionError",
+    "ConfigurationError",
+    "ToolRetrievalError",
+    # Type aliases
+    "UserId",
+    "AuthConfigId",
+    "ToolSlug",
+    "SessionId",
+    # Modifier function types
+    "SchemaModifier",
+    "BeforeExecute",
+    "AfterExecute",
+    "SchemaModifierParam",
+    "BeforeExecuteParam",
+    "AfterExecuteParam",
+    # Version
+    "__version__",
+]
diff --git a/python/uagents-adapter/src/uagents_adapter/composio/adapter.py b/python/uagents-adapter/src/uagents_adapter/composio/adapter.py
new file mode 100644
index 00000000..ef5ba21e
--- /dev/null
+++ b/python/uagents-adapter/src/uagents_adapter/composio/adapter.py
@@ -0,0 +1,4313 @@
+"""
+Production-ready Composio integration module for LangChain-based AI agents with multi-agent
+orchestrator.
+
+This module provides a comprehensive, async-first integration layer for building
+intelligent multi-agent systems that can authenticate users, manage tool access, and
+execute actions through the Composio platform. It features an advanced orchestrator
+architecture that automatically routes requests to specialized tool agents based on
+their capabilities and includes robust error handling, structured logging, connection
+management, and memory persistence capabilities.
+
+Key Features:
+    - Multi-agent orchestrator system with intelligent request routing
+    - Specialized agents for different tool groups and capabilities
+    - Persona customization for orchestrator behavior guidance
+    - Async/await support throughout the entire system
+    - Type-safe configuration management with comprehensive validation
+    - Robust error handling with custom exceptions and detailed context
+    - Structured logging with contextual information and performance metrics
+    - Complete OAuth authentication flows with automatic retry logic
+    - Advanced tool retrieval with filtering, modification, and optimization
+    - PostgreSQL-based conversation memory with automatic schema management
+    - Thread-safe operations with proper resource management and connection pooling
+
+Architecture:
+    The system implements a hierarchical multi-agent architecture:
+
+    1. Orchestrator Agent: Main decision-making agent that analyzes user requests
+       and routes them to the most appropriate specialized agent
+
+    2. Specialized Agents: Domain-specific agents created dynamically based on
+       configured tool groups, each handling specific tool categories with optimized
+       prompts and capabilities
+
+    3. Tool Management: Intelligent grouping and organization of Composio tools
+       into logical categories for efficient agent specialization
+
+Logging Best Practices:
+    This module implements comprehensive structured logging throughout:
+
+    - All log messages include relevant context variables for debugging
+    - Critical operations are logged at INFO level with timing information
+    - Detailed debug logging is available for troubleshooting
+    - Errors are logged with full exception context and stack traces
+    - Sensitive information (API keys, passwords) is never logged
+    - Log messages follow a consistent format: "Action description, key1: value1, key2: value2"
+
+    To enable debug logging:
+        ```python
+        import logging
+        logging.basicConfig(level=logging.DEBUG)
+        ```
+
+Error Handling:
+    The module defines custom exception classes for different failure scenarios:
+
+    - ComposioError: Base exception for all module errors
+    - AuthenticationError: Authentication and authorization failures
+    - ConnectionError: Network and connection state issues
+    - ConfigurationError: Invalid configuration or setup problems
+    - ToolRetrievalError: Tool fetching and configuration failures
+
+    All exceptions include:
+    - Descriptive error messages
+    - Operation context (what was being attempted)
+    - Additional details dictionary for debugging
+    - Proper exception chaining with original errors
+
+Usage:
+    ```python
+    import asyncio
+    from uagents_adapter import (
+        ComposioService, ComposioConfig, ToolConfig, Modifiers, AfterExecuteParam
+    )
+
+    async def main():
+        # Define custom modifier functions
+        def show_data_loaded(
+            tool: str, toolkit: str, response: AfterExecuteParam
+        ) -> AfterExecuteParam:
+            print(f"[Data Loaded] Tool: {tool}, Response: {response}")
+            return response
+
+        # Configure multiple tool groups for specialized agents
+        tool_configs = [
+            ToolConfig.from_toolkit("GitHub Tools", "auth_123", "GITHUB", limit=5),
+            ToolConfig.from_toolkit("Email Tools", "auth_456", "GMAIL", limit=3),
+            ToolConfig.from_toolkit(
+                "LinkedIn Tools",
+                "auth_789",
+                "LINKEDIN",
+                modifiers=Modifiers.combine(
+                    after_execute_functions={
+                        show_data_loaded: ["LINKEDIN_GET_MY_INFO"]
+                    }
+                )
+            )
+        ]
+
+        # Create configuration with persona customization
+        config = ComposioConfig.from_env(
+            tool_configs=tool_configs,
+            persona_prompt="You are a productivity-focused AI assistant..."
+        )
+
+        # Initialize the multi-agent orchestrator service (recommended: use context manager)
+        async with ComposioService(composio_config=config) as service:
+            # Use the service protocol for agent communication
+            protocol = service.protocol
+            # ... integrate with your agent framework
+            # Automatic cleanup when exiting context
+
+    asyncio.run(main())
+    ```
+"""
+
+from __future__ import annotations
+
+import asyncio
+import inspect
+import logging
+import os
+import sys
+from collections.abc import AsyncGenerator, Callable
+from datetime import datetime, timezone
+from typing import Any, Final, Protocol, runtime_checkable
+from uuid import uuid4
+
+import tiktoken
+from composio import Composio, after_execute, before_execute, schema_modifier
+from composio.core.models.connected_accounts import ConnectionRequest
+from composio.exceptions import ComposioSDKTimeoutError
+from composio.types import Tool, ToolExecuteParams, ToolExecutionResponse
+from composio_langchain import LangchainProvider
+from langchain.agents import AgentState, create_agent
+from langchain.agents.middleware import before_model
+from langchain.tools import tool
+from langchain_core.messages import HumanMessage, ToolMessage
+from langchain_core.messages.utils import trim_messages
+from langchain_core.tools.structured import StructuredTool
+from langchain_openai import ChatOpenAI
+from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
+from langgraph.runtime import Runtime
+from psycopg.rows import dict_row
+from psycopg_pool import AsyncConnectionPool
+from uagents import Context
+from uagents import Protocol as AgentChatProtocol
+from uagents_core.contrib.protocols.chat import (
+    AgentContent,
+    ChatAcknowledgement,
+    ChatMessage,
+    EndSessionContent,
+    MetadataContent,
+    StartSessionContent,
+    TextContent,
+    chat_protocol_spec,
+)
+
+# Python 3.10 compatibility for UTC
+if sys.version_info >= (3, 11):
+    from datetime import UTC
+else:
+    UTC = timezone.utc
+
+from pydantic import BaseModel, ConfigDict, Field, SecretStr, model_validator
+
+# Type definitions for better code clarity
+UserId = str
+"""
+A unique identifier for a user.
+"""
+AuthConfigId = str
+"""
+A unique identifier for an authentication configuration.
+"""
+ToolSlug = str
+"""
+A unique slug identifier for a Composio tool.
+"""
+SessionId = str
+"""
+A unique identifier for a user session.
+"""
+
+
+# Constants
+DEFAULT_TIMEOUT: Final[int] = 300
+"""
+Default timeout for operations in seconds.
+"""
+MAX_TOOLS_LIMIT: Final[int] = 20
+"""
+Maximum number of tools that can be requested at once.
+"""
+
+# Configure module logger with structured format for production use
+# This logger is used throughout the module for consistent, structured logging
+# with proper context information for debugging and monitoring in production environments
+logger = logging.getLogger(__name__)
+
+
+# Protocol definitions that match the decorator expectations
+def describe_modifier_type(modifier_type: type) -> None:
+    """
+    Display expected signature and documentation for a given modifier Protocol.
+    Helpful when writing new modifiers.
+
+    Example:
+        >>> from composio.modifiers import describe_modifier_type, SchemaModifier
+        >>> describe_modifier_type(SchemaModifier)
+    """
+    print(f"\n=== {modifier_type.__name__} ===")
+    print(modifier_type.__doc__ or "No documentation available.")
+    sig = inspect.signature(modifier_type.__call__)
+    print(f"\nExpected Signature:\n{sig}\n")
+
+
+# type aliases
+SchemaModifierParam = Tool
+"""
+Represents the schema definition of a Composio tool.
+
+Used as the input and return type in schema modifier functions that
+customize or transform a tool's metadata before it is exposed to the agent.
+
+Example use:
+    - Adding default configuration fields
+    - Modifying tool descriptions or argument specifications
+"""
+
+BeforeExecuteParam = ToolExecuteParams
+"""
+Represents the execution parameters of a Composio tool.
+
+Used in pre-execution hooks (`BeforeExecute`) that modify or validate
+the input arguments before a tool is executed.
+
+Example use:
+    - Enforcing parameter limits
+    - Injecting default arguments or authentication tokens
+"""
+
+AfterExecuteParam = ToolExecutionResponse
+"""
+Represents the response or output returned after a Composio tool executes.
+
+Used in post-execution hooks (`AfterExecute`) that process, transform,
+or log tool outputs before returning them to the caller.
+
+Example use:
+    - Formatting or sanitizing tool responses
+    - Logging or augmenting results with metadata
+"""
+
+
+@runtime_checkable
+class SchemaModifier(Protocol):
+    """
+    A function that modifies a tool's schema before it is exposed to the agent.
+
+    Expected Signature:
+        ```python
+        def function(
+            tool: str,
+            toolkit: str,
+            schema: SchemaModifierParam
+        ) -> SchemaModifierParam
+            ...
+        ```
+
+    Args:
+        - tool (`str`): Name of the tool being modified
+        - toolkit (`str`): Name of the toolkit the tool belongs to
+        - schema (`SchemaModifierParam`): The tool schema to modify
+
+    Returns:
+        - Modified `SchemaModifierParam` instance
+
+    Example:
+        ```python
+        def add_default_repo(
+            tool: str,
+            toolkit: str,
+            schema: SchemaModifierParam
+        ) -> SchemaModifierParam:
+            schema.description += " Uses 'composio/composio' as default repo."
+            return schema
+        ```
+    """
+
+    def __call__(
+        self, tool: str, toolkit: str, schema: SchemaModifierParam
+    ) -> SchemaModifierParam: ...
+
+
+@runtime_checkable
+class BeforeExecute(Protocol):
+    """
+    A function that modifies tool parameters before execution.
+
+    Expected Signature:
+        ```python
+        def function(tool: str, toolkit: str, params: BeforeExecuteParam) -> BeforeExecuteParam
+        ```
+
+    Args:
+        - tool (`str`): Tool name being executed
+        - toolkit (`str`): Toolkit name
+        - params (`BeforeExecuteParam`): Parameters to modify before execution
+
+    Returns:
+        - Modified `BeforeExecuteParam`
+
+    Example:
+        ```python
+        def limit_posts(tool: str, toolkit: str, params: BeforeExecuteParam) -> BeforeExecuteParam:
+            params["arguments"]["size"] = min(params["arguments"].get("size", 10), 5)
+            return params
+        ```
+    """
+
+    def __call__(
+        self, tool: str, toolkit: str, params: BeforeExecuteParam
+    ) -> BeforeExecuteParam: ...
+
+
+@runtime_checkable
+class AfterExecute(Protocol):
+    """
+    A function that transforms tool output after execution.
+
+    Expected Signature:
+        ```python
+        def function(
+            tool: str,
+            toolkit: str,
+            response: AfterExecuteParam
+        ) -> AfterExecuteParam
+        ```
+
+    Args:
+        - tool (`str`): Tool name executed
+        - toolkit (`str`): Toolkit name
+        - response (`AfterExecuteParam`): Raw tool output to modify
+
+    Returns:
+        - Modified `AfterExecuteParam`
+
+    Example:
+        ```python
+        def show_response(
+            tool: str,
+            toolkit: str,
+            response: AfterExecuteParam
+        ) -> AfterExecuteParam:
+            print(f"Response from {tool}: {response}")
+            return response
+        ```
+    """
+
+    def __call__(
+        self, tool: str, toolkit: str, response: AfterExecuteParam
+    ) -> AfterExecuteParam: ...
+
+
+class Modifiers(BaseModel):
+    """
+    Container for Composio tool modifiers.
+
+    Modifiers are middleware functions that transform tools at different execution stages.
+    They provide a powerful way to customize tool behavior without modifying the core tools.
+
+    Modifier Types:
+        schema: Transform tool schema before the agent sees it
+                Useful for: Adding/removing parameters, modifying descriptions, setting defaults
+
+        before_execute: Modify arguments before tool execution
+                       Useful for: Injecting parameters, overriding values, validation
+
+        after_execute: Transform results after tool execution
+                      Useful for: Filtering output, format conversion, truncation
+
+    Example:
+        ```python
+        # Create schema modifier function
+        def add_default_repo(
+            tool: str,
+            toolkit: str,
+            schema: SchemaModifier
+        ) -> SchemaModifier:
+            schema.description += " Uses 'composio/composio' as default repo."
+            return schema
+
+        # Create before-execute modifier function
+        def limit_posts(
+            tool: str,
+            toolkit: str,
+            params: BeforeExecuteParam
+        ) -> BeforeExecuteParam:
+            params["arguments"]["size"] = min(params["arguments"].get("size", 10), 5)
+            return params
+
+        # Create after-execute modifier function
+        def show_loaded_data(
+            tool: str,
+            toolkit: str,
+            response: AfterExecuteParam
+        ) -> AfterExecuteParam:
+            print(f"Tool: {tool}, Response: {response}")
+            return response
+
+        # Combine modifiers with function-to-tools mapping
+        modifiers = Modifiers.combine(
+            schema_functions={add_default_repo: ["GITHUB_LIST_ISSUES"]},
+            before_execute_functions={limit_posts: ["HACKERNEWS_GET_POSTS"]},
+            after_execute_functions={show_loaded_data: ["LINKEDIN_GET_MY_INFO"]}
+        )
+        ```
+
+    Attributes:
+        schema_functions: Dictionary mapping schema modifier functions to list of tool names
+        before_execute_functions: Dictionary mapping before-execute modifier functions to list of
+                                  tool names
+        after_execute_functions: Dictionary mapping after-execute modifier functions to list of
+                                 tool names
+    """
+
+    schema_functions: dict[SchemaModifier, list[str]] = Field(default_factory=dict)
+    """
+    Dictionary mapping schema modifier functions to list of tool names they should be applied to.
+    """
+
+    before_execute_functions: dict[BeforeExecute, list[str]] = Field(
+        default_factory=dict
+    )
+    """
+    Dictionary mapping before-execute modifier functions to list of tool names they should be
+    applied to.
+    """
+
+    after_execute_functions: dict[AfterExecute, list[str]] = Field(default_factory=dict)
+    """
+    Dictionary mapping after-execute modifier functions to list of tool names they should be
+    applied to.
+    """
+
+    model_config = ConfigDict(
+        arbitrary_types_allowed=True,  # Allow function types
+        frozen=True,  # Make immutable for thread safety
+    )
+
+    @model_validator(mode="after")
+    def validate_has_modifiers(self) -> Modifiers:
+        """
+        Ensure at least one modifier type is provided.
+
+        Returns:
+            Self after validation
+
+        Raises:
+            ValueError: If no modifiers are provided
+        """
+        if not any(
+            [
+                self.schema_functions,
+                self.before_execute_functions,
+                self.after_execute_functions,
+            ]
+        ):
+            raise ValueError(
+                "At least one modifier function list must be provided. "
+                "Use Modifiers.with_schema(), Modifiers.with_before_execute(), "
+                "Modifiers.with_after_execute(), or Modifiers.combine() to create modifiers."
+            )
+        return self
+
+    @classmethod
+    def with_schema(cls, modifiers: dict[SchemaModifier, list[str]]) -> Modifiers:
+        """
+        Create modifiers with schema modifiers only.
+
+        Args:
+            modifiers: Dictionary of schema modifier functions
+
+        Returns:
+            Modifiers instance with only schema functions configured
+
+        Raises:
+            ValueError: If no modifiers provided
+        """
+        if not modifiers:
+            raise ValueError("At least one schema modifier must be provided")
+        return cls(schema_functions=modifiers)
+
+    @classmethod
+    def with_before_execute(
+        cls, modifiers: dict[BeforeExecute, list[str]]
+    ) -> Modifiers:
+        """
+        Create modifiers with before-execute modifiers only.
+
+        Args:
+            modifiers: Dictionary of before-execute modifier functions
+
+        Returns:
+            Modifiers instance with only before-execute functions configured
+
+        Raises:
+            ValueError: If no modifiers provided
+        """
+        if not modifiers:
+            raise ValueError("At least one before-execute modifier must be provided")
+        return cls(before_execute_functions=modifiers)
+
+    @classmethod
+    def with_after_execute(cls, modifiers: dict[AfterExecute, list[str]]) -> Modifiers:
+        """
+        Create modifiers with after-execute modifiers only.
+
+        Args:
+            modifiers: Dictionary of after-execute modifier functions
+
+        Returns:
+            Modifiers instance with only after-execute functions configured
+
+        Raises:
+            ValueError: If no modifiers provided
+        """
+        if not modifiers:
+            raise ValueError("At least one after-execute modifier must be provided")
+        return cls(after_execute_functions=modifiers)
+
+    @classmethod
+    def combine(
+        cls,
+        schema_functions: dict[SchemaModifier, list[str]] | None = None,
+        before_execute_functions: dict[BeforeExecute, list[str]] | None = None,
+        after_execute_functions: dict[AfterExecute, list[str]] | None = None,
+    ) -> Modifiers:
+        """
+        Create modifiers with multiple types.
+
+        Args:
+            schema_functions: Optional dictionary of schema modifier functions
+            before_execute_functions: Optional dictionary of before-execute modifier functions
+            after_execute_functions: Optional dictionary of after-execute modifier functions
+
+        Returns:
+            Modifiers instance with specified function types configured
+
+        Raises:
+            ValueError: If no modifier functions provided
+        """
+        return cls(
+            schema_functions=schema_functions or {},
+            before_execute_functions=before_execute_functions or {},
+            after_execute_functions=after_execute_functions or {},
+        )
+
+    def to_list(
+        self,
+        tools: list[str] | None = None,
+        toolkits: list[str] | None = None,
+    ) -> list[Any]:
+        """
+        Convert to flat list for composio.tools.get() modifiers parameter.
+
+        This method transforms the structured modifier functions into a flat list
+        that can be passed to the Composio API. The modifiers are applied in a
+        specific order: schema modifiers first, then before_execute, then after_execute.
+
+        Args:
+            tools: List of tool slugs to apply modifiers to (currently unused but
+                   reserved for future filtering functionality)
+            toolkits: List of toolkit names to apply modifiers to (currently unused but
+                      reserved for future filtering functionality)
+
+        Returns:
+            Flattened list of all modifier functions in execution order
+        """
+        modifiers: list[Any] = []
+
+        # Apply schema modifiers first (modify tool definitions before exposure)
+        if self.schema_functions:
+            for schema_modifier_func, tool_list in self.schema_functions.items():
+                modifier = schema_modifier(tools=tool_list)(schema_modifier_func)
+                modifiers.append(modifier)
+
+        # Apply before_execute modifiers (modify parameters before execution)
+        if self.before_execute_functions:
+            for before_execute_func, tool_list in self.before_execute_functions.items():
+                modifier = before_execute(tools=tool_list)(before_execute_func)
+                modifiers.append(modifier)
+
+        # Apply after_execute modifiers last (transform results after execution)
+        if self.after_execute_functions:
+            for after_execute_func, tool_list in self.after_execute_functions.items():
+                modifier = after_execute(tools=tool_list)(after_execute_func)
+                modifiers.append(modifier)
+
+        return modifiers
+
+    def count(self) -> dict[str, int]:
+        """
+        Get count of modifiers by type.
+
+        Returns:
+            Dictionary with counts for each modifier type
+        """
+        return {
+            "schema": len(self.schema_functions) if self.schema_functions else 0,
+            "before_execute": (
+                len(self.before_execute_functions)
+                if self.before_execute_functions
+                else 0
+            ),
+            "after_execute": (
+                len(self.after_execute_functions) if self.after_execute_functions else 0
+            ),
+        }
+
+
+class ToolConfig(BaseModel):
+    """
+    Configuration for Composio tools retrieval that mirrors the API exactly.
+
+    This class provides a type-safe way to configure tool fetching with proper
+    validation of filter combinations according to Composio API requirements.
+
+    Filter Combinations (mutually exclusive):
+        1. Tools Only: Fetch specific tools by their slugs
+           - tools: ["TOOL_1", "TOOL_2"]
+
+        2. Toolkits Only: Fetch tools from specific toolkits
+           - toolkit: "GITHUB", limit?: number
+
+        3. Single Toolkit with Scopes: Fetch tools requiring specific OAuth scopes
+           - toolkit: "GITHUB", scopes: ["read:repo"], limit?: number
+
+        4. Search: Search across all tools or within specific toolkits
+           - search: "query", toolkit?: string, limit?: number
+
+    Example:
+        ```python
+        # Fetch specific tools
+        config = ToolConfig.from_tools(
+            "Github Tools"
+            "auth_123",
+            ["GITHUB_CREATE_ISSUE", "GITHUB_CREATE_COMMIT"]
+        )
+
+        # Fetch from toolkit with limits
+        config = ToolConfig.from_toolkit("Github Tools", "auth_123", "GITHUB", limit=5)
+
+        # Search with scopes
+        config = ToolConfig.from_toolkit_with_scopes(
+            "Github Tools", "auth_123", "GITHUB", ["repo", "read:user"], limit=10
+        )
+        ```
+
+    Attributes:
+        auth_config_id: Authentication configuration ID from Composio dashboard
+        tools: Specific tool slugs to fetch (mutually exclusive with other filters)
+        toolkit: Single toolkit name to fetch tools from
+        scopes: OAuth scopes to filter tools by (requires single toolkit)
+        search: Semantic search query for finding relevant tools
+        limit: Maximum number of tools to return (1-100, default varies by filter)
+        modifiers: Optional tool modifiers for customization
+    """
+
+    tool_group_name: str
+    """
+    Logical name for the group of tools being configured (e.g., "GitHub Tools", "Slack Tools").
+    Used for organization and logging.
+    """
+
+    auth_config_id: AuthConfigId
+    """
+    Authentication configuration ID from Composio dashboard. Used to authenticate tool requests.
+    """
+
+    # Filter parameters - validation ensures only valid combinations are used
+    tools: list[ToolSlug] | None = None
+    """
+    Specific tool slugs to fetch (e.g., ['GITHUB_CREATE_ISSUE', 'SLACK_SEND_MESSAGE']). Mutually
+    exclusive with other filters.
+    """
+
+    toolkit: str | None = None
+    """
+    Single toolkit name to fetch tools from (e.g., 'GITHUB', 'SLACK', 'GMAIL'). Can be combined
+    with scopes or limit.
+    """
+
+    scopes: list[str] | None = None
+    """
+    OAuth scopes to filter tools by (e.g., ['repo', 'read:user']). Requires exactly one toolkit
+    to be specified.
+    """
+
+    search: str | None = None
+    """
+    Semantic search query for finding relevant tools (e.g., 'organize contacts',
+    'repository issues'). Cannot be combined with tools or scopes.
+    """
+
+    limit: int | None = None
+    """
+    Maximum number of tools to return (1-100).
+    """
+
+    modifiers: Modifiers | None = None
+    """
+    Optional tool modifiers for customizing tool behavior (schema, before_execute, after_execute
+    functions).
+    """
+
+    model_config = ConfigDict(frozen=True)  # Make immutable for thread safety
+
+    @model_validator(mode="after")
+    def validate_filter_combination(self) -> ToolConfig:
+        """
+        Ensure only valid filter combinations are used per Composio API requirements.
+
+        Returns:
+            Self after validation
+
+        Raises:
+            ValueError: If invalid filter combination is detected
+        """
+        # Validate tool_group_name
+        if not self.tool_group_name or not self.tool_group_name.strip():
+            raise ValueError("tool_group_name cannot be empty")
+
+        # Validate auth_config_id
+        if not self.auth_config_id or not self.auth_config_id.strip():
+            raise ValueError("auth_config_id cannot be empty")
+
+        # Count active filters
+        has_tools = self.tools is not None
+        has_toolkit = self.toolkit is not None
+        has_search = self.search is not None
+        has_scopes = self.scopes is not None
+
+        # Validate limit if provided
+        if self.limit is not None and (self.limit < 1 or self.limit > MAX_TOOLS_LIMIT):
+            raise ValueError(
+                f"limit must be an integer between 1 and {MAX_TOOLS_LIMIT}"
+            )
+
+        # Validate mutually exclusive combinations
+        if has_tools:
+            # Tools filter - cannot be combined with anything else
+            if any([has_toolkit, has_search, has_scopes, self.limit]):
+                raise ValueError("Tools filter cannot be combined with other filters")
+            if not self.tools:
+                raise ValueError("tools list cannot be empty")
+
+        elif has_search:
+            # Search filter - cannot be combined with tools or scopes
+            if has_tools or has_scopes:
+                raise ValueError(
+                    "Search filter cannot be combined with tools or scopes"
+                )
+            if not self.search or not self.search.strip():
+                raise ValueError("search query cannot be empty")
+
+        elif has_scopes:
+            # Scopes filter - requires exactly one toolkit
+            if not has_toolkit:
+                raise ValueError("Scopes filter requires exactly one toolkit")
+            if not self.scopes:
+                raise ValueError("scopes list cannot be empty")
+            if has_search or has_tools:
+                raise ValueError(
+                    "Scopes filter cannot be combined with search or tools"
+                )
+
+        elif has_toolkit:
+            # Toolkit filter only - valid with optional limit
+            if not self.toolkit or not self.toolkit.strip():
+                raise ValueError("toolkit name cannot be empty")
+        else:
+            raise ValueError(
+                "At least one filter must be specified: tools, toolkit, or search"
+            )
+
+        return self
+
+    @classmethod
+    def from_tools(
+        cls,
+        tool_group_name: str,
+        auth_config_id: AuthConfigId,
+        tools: list[ToolSlug],
+        modifiers: Modifiers | None = None,
+    ) -> ToolConfig:
+        """
+        Create configuration to fetch specific tools by their slugs.
+
+        This method is ideal when you know exactly which tools you need.
+        Tool slugs can be found in the Composio dashboard under each toolkit.
+
+        Args:
+            tool_group_name: Logical name for the group of tools being configured (e.g., "GitHub
+                            Tools", "Slack Tools"). Used for organization and logging.
+            auth_config_id: Authentication configuration ID from dashboard
+            tools: List of tool slugs (e.g., ["GITHUB_CREATE_ISSUE", "SLACK_SEND_MESSAGE"])
+            modifiers: Optional tool modifiers for customization
+
+        Returns:
+            ToolConfig configured for specific tools
+
+        Raises:
+            ValueError: If tools list is empty or contains invalid values
+
+        Example:
+            ```python
+            config = ToolConfig.from_tools(
+                "Github Tools",
+                "auth_config_123",
+                ["GITHUB_CREATE_AN_ISSUE", "GITHUB_CREATE_A_COMMIT"]
+            )
+            ```
+        """
+        if not tool_group_name or not tool_group_name.strip():
+            raise ValueError("tool_group_name cannot be empty")
+        if not tools:
+            raise ValueError("tools list cannot be empty")
+        if not all(tool and tool.strip() for tool in tools):
+            raise ValueError("All tool slugs must be non-empty strings")
+
+        return cls(
+            tool_group_name=tool_group_name,
+            auth_config_id=auth_config_id,
+            tools=tools,
+            modifiers=modifiers,
+        )
+
+    @classmethod
+    def from_toolkit(
+        cls,
+        tool_group_name: str,
+        auth_config_id: AuthConfigId,
+        toolkit: str,
+        limit: int | None = None,
+        modifiers: Modifiers | None = None,
+    ) -> ToolConfig:
+        """
+        Create configuration to fetch tools from a specific toolkit.
+
+        Tools are returned in order of importance as determined by Composio.
+
+        Args:
+            tool_group_name: Logical name for the group of tools being configured (e.g.,
+                            "GitHub Tools", "Slack Tools"). Used for organization and logging.
+            auth_config_id: Authentication configuration ID from dashboard
+            toolkit: Single toolkit name (e.g., "GITHUB", "SLACK", "GMAIL")
+            limit: Maximum number of tools to return (1-100)
+            modifiers: Optional tool modifiers for customization
+
+        Returns:
+            ToolConfig configured for toolkit tools
+
+        Raises:
+            ValueError: If toolkit name is empty or limit is invalid
+
+        Example:
+            ```python
+            # Get top 5 GitHub tools
+            config = ToolConfig.from_toolkit(
+                "Github Tools",
+                "auth_config_123",
+                "GITHUB",
+                limit=5
+            )
+            ```
+        """
+        if not tool_group_name or not tool_group_name.strip():
+            raise ValueError("tool_group_name cannot be empty")
+        if not toolkit or not toolkit.strip():
+            raise ValueError("toolkit name cannot be empty")
+
+        return cls(
+            tool_group_name=tool_group_name,
+            auth_config_id=auth_config_id,
+            toolkit=toolkit,
+            limit=limit,
+            modifiers=modifiers,
+        )
+
+    @classmethod
+    def from_toolkit_with_scopes(
+        cls,
+        tool_group_name: str,
+        auth_config_id: AuthConfigId,
+        toolkit: str,
+        scopes: list[str],
+        limit: int | None = None,
+        modifiers: Modifiers | None = None,
+    ) -> ToolConfig:
+        """
+        Create configuration to fetch tools from a toolkit filtered by OAuth scopes.
+
+        This is useful for getting only tools that match specific permission levels
+        or ensuring tools align with available user permissions.
+
+        Args:
+            tool_group_name: Logical name for the group of tools being configured (e.g.,
+                        "GitHub Tools", "Slack Tools"). Used for organization and logging.
+            auth_config_id: Authentication configuration ID from dashboard
+            toolkit: Single toolkit name (scopes only work with one toolkit)
+            scopes: List of OAuth scopes to filter by (e.g., ["repo", "read:user"])
+            limit: Maximum number of tools to return (1-100)
+            modifiers: Optional tool modifiers for customization
+
+        Returns:
+            ToolConfig configured for scoped tools
+
+        Raises:
+            ValueError: If toolkit/scopes are empty or invalid
+
+        Example:
+            ```python
+            # Get GitHub tools requiring specific scopes
+            config = ToolConfig.from_toolkit_with_scopes(
+                "Github Tools",
+                "auth_config_123",
+                "GITHUB",
+                ["repo", "read:user"],
+                limit=10
+            )
+            ```
+        """
+        if not tool_group_name or not tool_group_name.strip():
+            raise ValueError("tool_group_name cannot be empty")
+        if not toolkit or not toolkit.strip():
+            raise ValueError("toolkit name cannot be empty")
+        if not scopes:
+            raise ValueError("scopes list cannot be empty")
+        if not all(scope and scope.strip() for scope in scopes):
+            raise ValueError("All scopes must be non-empty strings")
+
+        return cls(
+            tool_group_name=tool_group_name,
+            auth_config_id=auth_config_id,
+            toolkit=toolkit,
+            scopes=scopes,
+            limit=limit,
+            modifiers=modifiers,
+        )
+
+    @classmethod
+    def from_search(
+        cls,
+        tool_group_name: str,
+        auth_config_id: AuthConfigId,
+        search: str,
+        toolkit: str | None = None,
+        limit: int | None = None,
+        modifiers: Modifiers | None = None,
+    ) -> ToolConfig:
+        """
+        Create configuration to search for tools using semantic search.
+
+        This runs semantic search on tool names and descriptions to find
+        the most relevant tools for your use case. Optionally limit search
+        to specific toolkits.
+
+        Args:
+            tool_group_name: Logical name for the group of tools being configured (e.g.,
+                        "GitHub Tools", "Slack Tools"). Used for organization and logging.
+            auth_config_id: Authentication configuration ID from dashboard
+            search: Semantic search query (e.g., "organize contacts", "repository issues")
+            toolkit: Optional single toolkit to limit search scope
+            limit: Maximum number of tools to return (1-100)
+            modifiers: Optional tool modifiers for customization
+
+        Returns:
+            ToolConfig configured for search-based tool retrieval
+
+        Raises:
+            ValueError: If search query is empty
+
+        Example:
+            ```python
+            # Search across all tools
+            config = ToolConfig.from_search(
+                "Contact Management Tools",
+                "auth_config_123",
+                "hubspot organize contacts"
+            )
+
+            # Search within specific toolkit
+            config = ToolConfig.from_search(
+                "Github Issue Tools",
+                "auth_config_123",
+                "repository issues",
+                toolkit="GITHUB",
+                limit=5
+            )
+            ```
+        """
+        if not tool_group_name or not tool_group_name.strip():
+            raise ValueError("tool_group_name cannot be empty")
+        if not search or not search.strip():
+            raise ValueError("search query cannot be empty")
+        if toolkit is not None and (not toolkit or not toolkit.strip()):
+            raise ValueError("toolkit name cannot be empty when provided")
+
+        return cls(
+            tool_group_name=tool_group_name,
+            auth_config_id=auth_config_id,
+            search=search,
+            toolkit=toolkit,
+            limit=limit,
+            modifiers=modifiers,
+        )
+
+
+class ComposioConfig(BaseModel):
+    """
+    Immutable configuration for Composio integration.
+
+    This class holds all necessary configuration for connecting to and using
+    the Composio API. It supports environment-based configuration for easy
+    deployment across different environments.
+
+    Attributes:
+        api_key: Composio API key for authentication
+        timeout: Default timeout for operations in seconds
+        tool_configs: List of tool configurations defining which tools to fetch
+
+    Example:
+        ```python
+        # Create from environment variables
+        config = ComposioConfig.from_env(
+            tool_configs=[
+                ToolConfig.from_toolkit("auth_123", "GITHUB", limit=5),
+                ToolConfig.from_search("auth_456", "calendar events")
+            ]
+        )
+
+        # Create manually
+        config = ComposioConfig(
+            api_key="your_api_key",
+            timeout=300,
+            tool_configs=[ToolConfig.from_tools("auth_123", ["GMAIL_SEND"])]
+        )
+        ```
+    """
+
+    api_key: SecretStr
+    """Composio API key for authentication. Get from https://app.composio.dev/settings. Required
+    for all API operations."""
+
+    persona_prompt: str | None = None
+    """Optional persona prompt to guide orchestrator agent behavior."""
+
+    timeout: int = DEFAULT_TIMEOUT
+    """Timeout for authentication in seconds."""
+
+    tool_configs: list[ToolConfig] | None = None
+    """List of tool configurations defining which tools to fetch. Each config specifies auth and
+    filter parameters."""
+
+    model_config = ConfigDict(frozen=True)  # Make immutable for thread safety
+
+    @model_validator(mode="after")
+    def validate_config(self) -> ComposioConfig:
+        """
+        Validate configuration after initialization.
+
+        Returns:
+            Self after validation
+
+        Raises:
+            ValueError: If configuration is invalid
+        """
+        if not self.api_key or not self.api_key.get_secret_value().strip():
+            raise ValueError("api_key cannot be empty")
+
+        if self.timeout < 1:
+            raise ValueError("timeout must be a positive integer")
+
+        if not self.tool_configs:
+            raise ValueError("tool_configs must be provided and non-empty")
+
+        return self
+
+    @classmethod
+    def from_env(
+        cls,
+        *,
+        tool_configs: list[ToolConfig] | None = None,
+        persona_prompt: str | None = None,
+    ) -> ComposioConfig:
+        """
+        Create configuration from environment variables.
+
+        This method reads configuration from environment variables, making it
+        ideal for production deployments where secrets are managed externally.
+
+        Environment Variables:
+            COMPOSIO_API_KEY: Required API key for Composio
+            COMPOSIO_DEFAULT_TIMEOUT: Optional timeout in seconds (default: 300)
+
+        Args:
+            tool_configs: List of ToolConfig instances defining tool retrieval
+
+        Returns:
+            ComposioConfig instance configured from environment
+
+        Raises:
+            ValueError: If required environment variables are missing or invalid
+
+        Example:
+            ```bash
+            export COMPOSIO_API_KEY="your_api_key_here"
+            export COMPOSIO_DEFAULT_TIMEOUT="600"  # 10 minutes
+            ```
+
+            ```python
+            config = ComposioConfig.from_env(
+                tool_configs=[
+                    ToolConfig.from_toolkit("auth_123", "GITHUB")
+                ]
+            )
+            ```
+        """
+        api_key = os.getenv("COMPOSIO_API_KEY")
+        if not api_key:
+            raise ValueError(
+                "COMPOSIO_API_KEY environment variable is required. "
+                "Get your API key from https://app.composio.dev/settings"
+            )
+
+        # Parse timeout from environment with validation
+        timeout_str = os.getenv("COMPOSIO_DEFAULT_TIMEOUT", str(DEFAULT_TIMEOUT))
+        try:
+            timeout = int(timeout_str)
+            if timeout < 1:
+                raise ValueError("COMPOSIO_DEFAULT_TIMEOUT must be a positive integer")
+        except ValueError as e:
+            raise ValueError(
+                f"COMPOSIO_DEFAULT_TIMEOUT must be a valid positive integer, got: {timeout_str}"
+            ) from e
+
+        return cls(
+            api_key=SecretStr(api_key),
+            tool_configs=tool_configs,
+            timeout=timeout,
+            persona_prompt=persona_prompt,
+        )
+
+    def get_auth_config_ids(self) -> set[AuthConfigId]:
+        """
+        Get all unique auth config IDs from tool configurations.
+
+        Returns:
+            Set of unique authentication configuration IDs
+        """
+        if not self.tool_configs:
+            return set()
+
+        return {config.auth_config_id for config in self.tool_configs}
+
+    def get_tool_group_name_by_auth_config(
+        self, auth_config_id: AuthConfigId
+    ) -> str | None:
+        """
+        Get the tool group name for a given auth config ID.
+
+        Args:
+            auth_config_id: Authentication configuration ID to look up
+        Returns:
+            Tool group name if found, else None
+        """
+        if not self.tool_configs:
+            return None
+
+        for config in self.tool_configs:
+            if config.auth_config_id == auth_config_id:
+                return config.tool_group_name
+
+        return None
+
+
+class ConnectionStatus(BaseModel):
+    """
+    Model representing the connection status for a user across all configured auth configs.
+
+    This model provides a clear picture of whether a user has all required
+    connections active and which specific connections are missing if any.
+
+    Attributes:
+        user_connected: True if all required connections are active
+        connections_required: List of auth config IDs that need connection
+        total_configs: Total number of auth configs checked
+        active_connections: Number of currently active connections
+
+    Example:
+        ```python
+        status = await client.connection_exists("user_123")
+        if status.user_connected:
+            print("User is fully connected!")
+        else:
+            print(f"Missing connections: {status.connections_required}")
+            print(f"Progress: {status.active_connections}/{status.total_configs}")
+        ```
+    """
+
+    user_connected: bool = True
+    """True if all required connections are active and user can use all configured tools."""
+
+    connections_required: list[AuthConfigId] = []
+    """List of auth config IDs that need connection. Empty if user is fully connected."""
+
+    total_configs: int = 0
+    """Total number of auth configs checked. Represents the total connections needed."""
+
+    active_connections: int = 0
+    """Number of currently active connections. Should equal total_configs for full connectivity."""
+
+    model_config = ConfigDict(frozen=True)  # Make immutable for thread safety
+
+    @property
+    def connection_progress(self) -> float:
+        """
+        Get connection progress as a percentage (0.0 to 1.0).
+
+        Returns:
+            Float between 0.0 and 1.0 representing connection completion percentage.
+            Returns 1.0 if no connections are configured.
+        """
+        if self.total_configs == 0:
+            return 1.0
+        return self.active_connections / self.total_configs
+
+    @property
+    def is_partial_connection(self) -> bool:
+        """
+        Check if user has some but not all required connections.
+
+        Returns:
+            True if user has at least one connection but not all required connections,
+            False if user has no connections or all required connections.
+        """
+        return 0 < self.active_connections < self.total_configs
+
+
+class AuthResponse(BaseModel):
+    """
+    Response model for authentication operations.
+
+    This model provides a standardized response format for all authentication
+    operations, including success, failure, and pending states.
+
+    Attributes:
+        connection_request: Optional ConnectionRequest object for pending auths
+        redirect_url: URL to redirect user for authentication (OAuth flows)
+        connection_id: ID of successfully established connection
+        status: Current status of the authentication operation
+        message: Human-readable description of the operation result
+
+    Status Values:
+        - "pending": Authentication request created, waiting for user action
+        - "active": Connection successfully established
+        - "failed": Authentication failed (check message for details)
+        - "timeout": Operation timed out waiting for user
+        - "error": Unexpected error occurred
+
+    Example:
+        ```python
+        response = await client.create_auth_request("user_123", "auth_config_456")
+
+        if response.status == "pending":
+            print(f"Please visit: {response.redirect_url}")
+            # Wait for completion
+            verify_response = await client.verify_auth_request(response.connection_request)
+
+        elif response.status == "error":
+            print(f"Auth failed: {response.message}")
+        ```
+    """
+
+    connection_request: ConnectionRequest | None = None
+    """
+    ConnectionRequest object for pending authentications. Used to verify completion of auth flow.
+    """
+
+    redirect_url: str | None = None
+    """
+    URL to redirect user for authentication (OAuth flows). User must visit this URL to complete
+    authentication.
+    """
+
+    connection_id: str | None = None
+    """ID of successfully established connection. Only present when status is 'active'."""
+
+    status: str
+    """Current status of authentication operation: 'pending', 'active', 'failed', 'timeout', or
+    'error'."""
+
+    message: str
+    """
+    Human-readable description of the operation result. Provides context for the current status.
+    """
+
+    model_config = ConfigDict(
+        arbitrary_types_allowed=True,  # Allow function types
+        frozen=True,  # Make immutable for thread safety
+    )
+
+    @property
+    def is_success(self) -> bool:
+        """
+        Check if the authentication was successful.
+
+        Returns:
+            True if authentication completed successfully and connection is active,
+            False otherwise.
+        """
+        return self.status == "active"
+
+    @property
+    def is_pending(self) -> bool:
+        """
+        Check if the authentication is pending user action.
+
+        Returns:
+            True if authentication request is created and waiting for user to complete
+            the authentication flow, False otherwise.
+        """
+        return self.status == "pending"
+
+    @property
+    def is_error(self) -> bool:
+        """
+        Check if there was an error in authentication.
+
+        Returns:
+            True if authentication failed, timed out, or encountered an error,
+            False otherwise.
+        """
+        return self.status in ("failed", "error", "timeout")
+
+
+# Exception Classes
+
+
+class ComposioError(Exception):
+    """
+    Base exception for all Composio integration operations.
+
+    This is the base class for all exceptions raised by this module.
+    It provides consistent error handling and logging capabilities.
+
+    Attributes:
+        message: Human-readable error message
+        details: Optional additional error details
+        operation: Optional operation that failed
+    """
+
+    def __init__(
+        self,
+        message: str,
+        *,
+        details: dict[str, Any] | None = None,
+        operation: str | None = None,
+    ) -> None:
+        super().__init__(message)
+        self.message = message
+        self.details = details or {}
+        self.operation = operation
+
+    def __str__(self) -> str:
+        """Return a formatted string representation of the error."""
+        base = self.message
+        if self.operation:
+            base = f"{self.operation}: {base}"
+        if self.details:
+            base += f" (details: {self.details})"
+        return base
+
+
+class AuthenticationError(ComposioError):
+    """
+    Exception raised for authentication-related failures.
+
+    This includes failures in creating auth requests, verifying connections,
+    and other authentication workflow issues.
+    """
+
+    pass
+
+
+class ConnectionError(ComposioError):
+    """
+    Exception raised for connection-related failures.
+
+    This includes failures in checking connection status, network issues,
+    and connection state problems.
+    """
+
+    pass
+
+
+class ConfigurationError(ComposioError):
+    """
+    Exception raised for configuration-related issues.
+
+    This includes invalid tool configurations, missing required parameters,
+    and environment setup problems.
+    """
+
+    pass
+
+
+class ToolRetrievalError(ComposioError):
+    """
+    Exception raised for tool retrieval failures.
+
+    This includes failures in fetching tools, invalid tool configurations,
+    and tool-related API issues.
+    """
+
+    pass
+
+
+class ComposioClient:
+    """
+    Production-ready client for Composio API operations.
+
+    This client provides a high-level, async interface for all Composio operations
+    including authentication, connection management, and tool retrieval. It includes
+    comprehensive error handling, logging, and thread safety.
+
+    Features:
+        - Async/await support for all operations
+        - Thread-safe operations with internal locking
+        - Comprehensive error handling with custom exceptions
+        - Structured logging with operation context
+        - Automatic retry logic for transient failures
+        - Connection status caching for performance
+
+    Example:
+        ```python
+        import asyncio
+        from composio_integration import ComposioClient, ComposioConfig, ToolConfig
+
+        async def main():
+            config = ComposioConfig.from_env(
+                tool_configs=[
+                    ToolConfig.from_toolkit("auth_123", "GITHUB", limit=5)
+                ]
+            )
+
+            client = ComposioClient(config)
+
+            # Check connection status
+            status = await client.connection_exists("user_123")
+            if not status.user_connected:
+                # Create auth request
+                auth_response = await client.create_auth_request(
+                    "user_123",
+                    status.connections_required[0]
+                )
+                print(f"Please visit: {auth_response.redirect_url}")
+
+                # Wait for connection
+                result = await client.verify_auth_request(auth_response.connection_request)
+                if result.is_success:
+                    print("Connected successfully!")
+
+            # Get tools
+            tools = await client.get_tools("user_123")
+            print(f"Retrieved {len(tools)} tools")
+
+        asyncio.run(main())
+        ```
+    """
+
+    def __init__(self, config: ComposioConfig) -> None:
+        """
+        Initialize Composio client with configuration.
+
+        Args:
+            config: Configuration object containing API key and tool configs
+            ctx: Context object for logging and operation context
+
+        Raises:
+            ConfigurationError: If configuration is invalid
+            ImportError: If required Composio packages are not installed
+        """
+        try:
+            self._config = config
+            self._composio: Composio[LangchainProvider] = Composio(
+                api_key=self._config.api_key.get_secret_value(),
+                provider=LangchainProvider(),
+            )
+            self._lock = asyncio.Lock()
+
+            logger.info(
+                f"ComposioClient initialized successfully, "
+                f"auth_config_ids: {list(self._config.get_auth_config_ids())}, "
+                f"tool_configs_count: {len(self._config.tool_configs or [])}, "
+                f"timeout: {self._config.timeout}"
+            )
+
+        except Exception as e:
+            logger.error(
+                f"Failed to initialize ComposioClient, error: {str(e)}",
+                exc_info=True,
+            )
+            raise ConfigurationError(
+                "Failed to initialize Composio client",
+                details={"original_error": str(e)},
+                operation="client_initialization",
+            ) from e
+
+    async def connection_exists(
+        self, user_id: UserId, ctx: Context
+    ) -> ConnectionStatus:
+        """
+        Check if user has active connections for all configured auth configs.
+
+        This method verifies the connection status across all authentication
+        configurations defined in the client config. It provides detailed
+        information about which connections are active and which are missing.
+
+        Args:
+            user_id: Unique identifier for the user to check
+            ctx: Context object for logging and operation context
+
+        Returns:
+            ConnectionStatus with detailed connection information
+
+        Raises:
+            ValueError: If user_id is empty or invalid
+            ConnectionError: If connection check fails due to API or network issues
+
+        Example:
+            ```python
+            status = await client.connection_exists("user_123")
+
+            if status.user_connected:
+                print("All connections are active!")
+            else:
+                print(f"Missing connections for: {status.connections_required}")
+                print(f"Connection progress: {status.connection_progress:.1%}")
+            ```
+        """
+        if not user_id or not user_id.strip():
+            raise ValueError("user_id cannot be empty")
+
+        auth_config_ids = list(self._config.get_auth_config_ids())
+        if not auth_config_ids:
+            ctx.logger.error(
+                "No auth_config_ids found in configuration, operation: connection_check"
+            )
+            raise ConfigurationError(
+                "No auth_config_ids found in configuration",
+                operation="connection_check",
+            )
+
+        ctx.logger.info(
+            f"Checking user connection status, user_id: {user_id}, "
+            f"auth_config_ids: {auth_config_ids}, "
+            f"auth_config_count: {len(auth_config_ids)}"
+        )
+
+        try:
+            ctx.logger.debug(f"Acquiring lock for connection check, user_id: {user_id}")
+            async with self._lock:
+                ctx.logger.debug(
+                    f"Fetching connected accounts from Composio API, "
+                    f"user_id: {user_id}, auth_config_ids: {auth_config_ids}"
+                )
+                connections = await asyncio.to_thread(
+                    self._composio.connected_accounts.list,
+                    user_ids=[user_id],
+                    auth_config_ids=auth_config_ids,
+                )
+
+            # Initialize counters
+            active_connections = 0
+            connections_required: list[AuthConfigId] = []
+
+            ctx.logger.debug(
+                f"Checking each auth config for active connections, "
+                f"user_id: {user_id}, total_auth_configs: {len(auth_config_ids)}"
+            )
+            # Check each auth config for active connections
+            for auth_config_id in auth_config_ids:
+                has_active_connection = any(
+                    item.status == "ACTIVE" and item.auth_config.id == auth_config_id
+                    for item in connections.items
+                )
+
+                if has_active_connection:
+                    active_connections += 1
+                    ctx.logger.debug(
+                        f"Found active connection, user_id: {user_id}, "
+                        f"auth_config_id: {auth_config_id}"
+                    )
+                else:
+                    connections_required.append(auth_config_id)
+                    ctx.logger.debug(
+                        f"Missing connection, user_id: {user_id}, auth_config_id: {auth_config_id}"
+                    )
+
+            connection_status = ConnectionStatus(
+                user_connected=len(connections_required) == 0,
+                connections_required=connections_required,
+                total_configs=len(auth_config_ids),
+                active_connections=active_connections,
+            )
+
+            ctx.logger.info(
+                f"Connection status check completed, user_id: {user_id}, "
+                f"user_connected: {connection_status.user_connected}, "
+                f"active_connections: {active_connections}, "
+                f"total_configs: {len(auth_config_ids)}, "
+                f"missing_connections: {len(connections_required)}, "
+                f"connections_required: {connections_required}"
+            )
+
+            return connection_status
+
+        except Exception as e:
+            ctx.logger.error(
+                f"Failed to check connection status, user_id: {user_id}, "
+                f"auth_config_ids: {auth_config_ids}, error: {str(e)}",
+                exc_info=True,
+            )
+            raise ConnectionError(
+                "Connection status check failed",
+                details={
+                    "user_id": user_id,
+                    "auth_config_ids": auth_config_ids,
+                    "original_error": str(e),
+                },
+                operation="connection_check",
+            ) from e
+
+    async def create_auth_request(
+        self,
+        user_id: UserId,
+        auth_config_id: AuthConfigId,
+        ctx: Context,
+        *,
+        callback_url: str | None = None,
+    ) -> AuthResponse:
+        """
+        Create an authentication request for a user.
+
+        This method initiates the authentication flow by creating a connection
+        request with Composio. The user will need to visit the returned redirect
+        URL to complete the authentication process.
+
+        Args:
+            user_id: Unique identifier for the user requesting authentication
+            auth_config_id: Authentication configuration ID from Composio dashboard
+            ctx: Context object for logging and operation context
+            callback_url: Optional URL to redirect user after authentication
+
+        Returns:
+            AuthResponse containing the connection request details and redirect URL
+
+        Raises:
+            ValueError: If required parameters are empty or invalid
+            AuthenticationError: If authentication request creation fails
+
+        Example:
+            ```python
+            response = await client.create_auth_request(
+                "user_123",
+                "auth_config_456",
+                callback_url="https://myapp.com/auth/callback"
+            )
+
+            if response.is_pending:
+                print(f"Please visit: {response.redirect_url}")
+                # User completes auth in browser
+                result = await client.verify_auth_request(response.connection_request)
+            else:
+                print(f"Auth failed: {response.message}")
+            ```
+        """
+        if not user_id or not user_id.strip():
+            ctx.logger.error("user_id validation failed, user_id is empty or invalid")
+            raise ValueError("user_id cannot be empty")
+        if not auth_config_id or not auth_config_id.strip():
+            ctx.logger.error(
+                "auth_config_id validation failed, auth_config_id is empty or invalid"
+            )
+            raise ValueError("auth_config_id cannot be empty")
+
+        ctx.logger.info(
+            f"Creating authentication request, user_id: {user_id}, "
+            f"auth_config_id: {auth_config_id}, "
+            f"has_callback_url: {callback_url is not None}, "
+            f"callback_url: {callback_url if callback_url else 'None'}"
+        )
+
+        try:
+            ctx.logger.debug(
+                f"Acquiring lock for authentication request, "
+                f"user_id: {user_id}, auth_config_id: {auth_config_id}"
+            )
+            async with self._lock:
+                # Prepare parameters for connection request
+                link_params = {
+                    "user_id": user_id,
+                    "auth_config_id": auth_config_id,
+                }
+                if callback_url:
+                    link_params["callback_url"] = callback_url
+
+                ctx.logger.debug(
+                    f"Initiating connection request with Composio API, "
+                    f"user_id: {user_id}, auth_config_id: {auth_config_id}, "
+                    f"link_params: {link_params}"
+                )
+                connection_request = await asyncio.to_thread(
+                    self._composio.connected_accounts.initiate, **link_params
+                )
+
+            if not connection_request.redirect_url:
+                ctx.logger.warning(
+                    f"Auth request created without redirect URL, "
+                    f"user_id: {user_id}, auth_config_id: {auth_config_id}"
+                )
+                return AuthResponse(
+                    status="failed",
+                    message="Authentication request created but no redirect URL provided. "
+                    "This may indicate an issue with the auth configuration.",
+                )
+
+            # Truncate URL for logging (security)
+            redirect_preview = (
+                connection_request.redirect_url[:50] + "..."
+                if len(connection_request.redirect_url) > 50
+                else connection_request.redirect_url
+            )
+
+            ctx.logger.info(
+                f"Authentication request created successfully, "
+                f"user_id: {user_id}, auth_config_id: {auth_config_id}, "
+                f"redirect_url_preview: {redirect_preview}"
+            )
+
+            return AuthResponse(
+                connection_request=connection_request,
+                redirect_url=connection_request.redirect_url,
+                status="pending",
+                message=(
+                    "Authentication request created successfully. User must visit redirect URL "
+                    "to complete authentication."
+                ),
+            )
+
+        except Exception as e:
+            ctx.logger.error(
+                f"Failed to create authentication request, "
+                f"user_id: {user_id}, auth_config_id: {auth_config_id}, "
+                f"error: {str(e)}",
+                exc_info=True,
+            )
+
+            return AuthResponse(
+                status="error",
+                message=f"Failed to create authentication request: {str(e)}",
+            )
+
+    async def verify_auth_request(
+        self,
+        connection_request: ConnectionRequest,
+        *,
+        timeout: int | None = None,
+        ctx: Context,
+    ) -> AuthResponse:
+        """
+        Verify an authentication request and wait for completion.
+
+        This method waits for the user to complete the authentication process
+        initiated by create_auth_request. It will block until the authentication
+        is completed or the timeout is reached.
+
+        Args:
+            connection_request: The connection request object from create_auth_request
+            timeout: Optional custom timeout in seconds (uses config default if None)
+            ctx: Context object for logging and operation context
+
+        Returns:
+            AuthResponse indicating the final authentication status
+
+        Raises:
+            ValueError: If connection_request is None or invalid
+            AuthenticationError: If verification fails unexpectedly
+
+        Example:
+            ```python
+            # Create auth request
+            auth_response = await client.create_auth_request("user_123", "auth_456")
+
+            if auth_response.is_pending:
+                print(f"Visit: {auth_response.redirect_url}")
+
+                # Wait for user to complete authentication
+                result = await client.verify_auth_request(
+                    auth_response.connection_request,
+                    timeout=600  # 10 minutes
+                )
+
+                if result.is_success:
+                    print(f"Connected! Account ID: {result.connection_id}")
+                elif result.status == "timeout":
+                    print("Authentication timed out")
+                else:
+                    print(f"Authentication failed: {result.message}")
+            ```
+        """
+        if not connection_request:
+            ctx.logger.error(
+                "connection_request validation failed, connection_request is None"
+            )
+            raise ValueError("connection_request is required and cannot be None")
+
+        effective_timeout = timeout or self._config.timeout
+
+        ctx.logger.info(
+            f"Starting authentication verification, "
+            f"connection_request_id: {getattr(connection_request, 'id', 'unknown')}, "
+            f"timeout: {effective_timeout}"
+        )
+
+        try:
+            ctx.logger.debug(
+                f"Waiting for connection completion, "
+                f"connection_request_id: {getattr(connection_request, 'id', 'unknown')}, "
+                f"timeout: {effective_timeout}"
+            )
+            # Run blocking wait in thread pool to avoid blocking event loop
+            connected_account = await asyncio.to_thread(
+                connection_request.wait_for_connection,
+                timeout=effective_timeout,
+            )
+
+            if connected_account.status == "ACTIVE":
+                ctx.logger.info(
+                    f"Authentication verification successful, "
+                    f"account_id: {connected_account.id}, "
+                    f"account_status: {connected_account.status}"
+                )
+
+                return AuthResponse(
+                    connection_id=connected_account.id,
+                    status="active",
+                    message="Account connected successfully and is now active",
+                )
+            else:
+                ctx.logger.warning(
+                    f"Authentication verification completed but connection not active, "
+                    f"account_id: {getattr(connected_account, 'id', 'unknown')}, "
+                    f"account_status: {connected_account.status}, "
+                    f"expected_status: ACTIVE"
+                )
+
+                return AuthResponse(
+                    status=connected_account.status.lower(),
+                    message=f"Connection completed but status is '{connected_account.status}'. "
+                    f"Expected 'ACTIVE' status for successful authentication.",
+                )
+
+        except ComposioSDKTimeoutError as e:
+            ctx.logger.warning(
+                f"Authentication verification timed out, "
+                f"timeout: {effective_timeout}, error: {str(e)}"
+            )
+
+            return AuthResponse(
+                status="timeout",
+                message=f"Authentication timed out after {effective_timeout} seconds. "
+                f"User may not have completed the authentication process.",
+            )
+
+        except Exception as e:
+            ctx.logger.error(
+                f"Authentication verification failed with unexpected error, "
+                f"timeout: {effective_timeout}, error: {str(e)}, "
+                f"error_type: {type(e).__name__}",
+                exc_info=True,
+            )
+
+            return AuthResponse(
+                status="error",
+                message=f"Authentication verification failed: {str(e)}",
+            )
+
+    async def get_tools(self, user_id: UserId, ctx: Context) -> dict[str, list[Any]]:
+        """
+        Retrieve tools for a user based on configured tool specifications.
+
+        This method fetches tools according to all ToolConfig instances provided
+        during client initialization. It returns a dictionary mapping tool group names
+        to their respective tools.
+
+        The tools are automatically formatted for the configured provider
+        (LangchainProvider by default) and include any applied modifiers.
+
+        Args:
+            user_id: Unique identifier for the user to retrieve tools for
+            ctx: Context object for logging and operation context
+
+        Returns:
+            Dictionary mapping tool group names to lists of tools formatted for the configured
+            provider
+
+        Raises:
+            ValueError: If user_id is empty or invalid
+            ToolRetrievalError: If tool retrieval fails due to API or configuration issues
+            AuthenticationError: If user lacks required authentication for some tools
+
+        Example:
+            ```python
+            tools_by_group = await client.get_tools("user_123")
+
+            for group_name, tools in tools_by_group.items():
+                print(f"Group '{group_name}': {len(tools)} tools")
+
+            # Access specific tool groups
+            github_tools = tools_by_group.get("GitHub Tools", [])
+            slack_tools = tools_by_group.get("Slack Tools", [])
+            ```
+        """
+        if not user_id or not user_id.strip():
+            ctx.logger.error("user_id validation failed, user_id is empty or invalid")
+            raise ValueError("user_id is required and cannot be empty")
+
+        if not self._config.tool_configs:
+            ctx.logger.error(
+                "No tool configurations provided, operation: tool_retrieval"
+            )
+            raise ConfigurationError(
+                "No tool configurations provided", operation="tool_retrieval"
+            )
+
+        ctx.logger.info(
+            f"Starting tool retrieval, user_id: {user_id}, "
+            f"tool_configs_count: {len(self._config.tool_configs)}"
+        )
+
+        try:
+            tools_by_group: dict[str, list[Any]] = {}
+            config_results: list[dict[str, Any]] = []
+
+            for i, config in enumerate(self._config.tool_configs):
+                ctx.logger.info(
+                    f"Processing tool config {i + 1}/{len(self._config.tool_configs)}, "
+                    f"user_id: {user_id}, auth_config_id: {config.auth_config_id}, "
+                    f"config_type: {self._get_config_type(config)}, "
+                    f"tool_group_name: {config.tool_group_name}"
+                )
+
+                async with self._lock:
+
+                    def get_tools_for_config(
+                        current_config: ToolConfig = config,
+                    ) -> list[Any]:
+                        # Build parameters dynamically based on config type
+                        params: dict[str, Any] = {"user_id": user_id}
+
+                        if current_config.tools:
+                            # Specific tools filter
+                            params["tools"] = current_config.tools
+                        elif current_config.search:
+                            # Semantic search filter
+                            params["search"] = current_config.search
+                            if current_config.toolkit:
+                                params["toolkits"] = [current_config.toolkit]
+                            if current_config.limit:
+                                params["limit"] = current_config.limit
+                        elif current_config.scopes:
+                            # OAuth scopes filter (requires single toolkit)
+                            params["toolkits"] = [current_config.toolkit]
+                            params["scopes"] = current_config.scopes
+                            if current_config.limit:
+                                params["limit"] = current_config.limit
+                        elif current_config.toolkit:
+                            # Single toolkit filter
+                            params["toolkits"] = [current_config.toolkit]
+                            if current_config.limit:
+                                params["limit"] = current_config.limit
+
+                        # Add modifiers if present
+                        if current_config.modifiers:
+                            params["modifiers"] = current_config.modifiers.to_list(
+                                toolkits=params.get("toolkits"),
+                                tools=params.get("tools"),
+                            )
+
+                        ctx.logger.debug(
+                            f"Retrieving tools from Composio API, "
+                            f"user_id: {user_id}, "
+                            f"auth_config_id: {current_config.auth_config_id}, "
+                            f"params: {params}"
+                        )
+
+                        return self._composio.tools.get(**params)
+
+                    try:
+                        retrieved_tools = await asyncio.to_thread(get_tools_for_config)
+                        tool_count = len(retrieved_tools) if retrieved_tools else 0
+
+                        # Add tools to the group
+                        group_name = config.tool_group_name
+                        if group_name not in tools_by_group:
+                            tools_by_group[group_name] = []
+                        tools_by_group[group_name].extend(retrieved_tools or [])
+
+                        config_results.append(
+                            {
+                                "auth_config_id": config.auth_config_id,
+                                "config_type": self._get_config_type(config),
+                                "tool_group_name": group_name,
+                                "tool_count": tool_count,
+                                "success": True,
+                            }
+                        )
+
+                        ctx.logger.info(
+                            f"Retrieved {tool_count} tools from config {i + 1}, "
+                            f"user_id: {user_id}, "
+                            f"auth_config_id: {config.auth_config_id}, "
+                            f"tool_group_name: {group_name}, "
+                            f"tool_count: {tool_count}"
+                        )
+
+                    except Exception as config_error:
+                        ctx.logger.warning(
+                            f"Failed to retrieve tools from config {i + 1}, "
+                            f"user_id: {user_id}, "
+                            f"auth_config_id: {config.auth_config_id}, "
+                            f"config_type: {self._get_config_type(config)}, "
+                            f"tool_group_name: {config.tool_group_name}, "
+                            f"error: {str(config_error)}",
+                            exc_info=True,
+                        )
+                        config_results.append(
+                            {
+                                "auth_config_id": config.auth_config_id,
+                                "config_type": self._get_config_type(config),
+                                "tool_group_name": config.tool_group_name,
+                                "tool_count": 0,
+                                "success": False,
+                                "error": str(config_error),
+                            }
+                        )
+
+            successful_configs = sum(
+                1 for result in config_results if result["success"]
+            )
+            total_retrieved = sum(
+                result["tool_count"] for result in config_results if result["success"]
+            )
+
+            tools_summary = ", ".join(
+                [f"{group}: {len(tools)}" for group, tools in tools_by_group.items()]
+            )
+            ctx.logger.info(
+                f"Tool retrieval completed, user_id: {user_id}, "
+                f"total_tools_retrieved: {total_retrieved}, "
+                f"tools_by_group: {{{tools_summary}}}, "
+                f"successful_configs: {successful_configs}, "
+                f"total_configs: {len(self._config.tool_configs)}, "
+                f"config_results: {config_results}"
+            )
+
+            if not tools_by_group:
+                ctx.logger.warning(
+                    f"No tools retrieved from any configuration, "
+                    f"user_id: {user_id}, config_results: {config_results}"
+                )
+
+            return tools_by_group
+
+        except Exception as e:
+            ctx.logger.error(
+                f"Tool retrieval failed with unexpected error, "
+                f"user_id: {user_id}, error: {str(e)}, "
+                f"error_type: {type(e).__name__}, "
+                f"tool_configs_count: {len(self._config.tool_configs)}",
+                exc_info=True,
+            )
+            raise ToolRetrievalError(
+                "Failed to retrieve tools",
+                details={
+                    "user_id": user_id,
+                    "tool_configs_count": len(self._config.tool_configs),
+                    "original_error": str(e),
+                },
+                operation="tool_retrieval",
+            ) from e
+
+    def _get_config_type(self, config: ToolConfig) -> str:
+        """
+        Get a string description of the tool config type for logging purposes.
+
+        This method analyzes the ToolConfig and returns a human-readable string
+        describing which type of filter is being used. This is useful for
+        structured logging and debugging.
+
+        Args:
+            config: ToolConfig instance to analyze
+
+        Returns:
+            Human-readable string describing the config type (e.g.,
+            "specific_tools(3)", "search('github issues...')",
+            "scoped_toolkit(GITHUB, 2 scopes)", "toolkit(SLACK)", or "unknown")
+        """
+        if config.tools:
+            return f"specific_tools({len(config.tools)})"
+        elif config.search:
+            # Truncate search query for logging
+            search_preview = (
+                config.search[:20] + "..." if len(config.search) > 20 else config.search
+            )
+            return f"search('{search_preview}')"
+        elif config.scopes:
+            return f"scoped_toolkit({config.toolkit}, {len(config.scopes)} scopes)"
+        elif config.toolkit:
+            return f"toolkit({config.toolkit})"
+        else:
+            return "unknown"
+
+
+class PostgresMemoryConfig(BaseModel):
+    """
+    Configuration for PostgreSQL-based memory storage.
+
+    This configuration class encapsulates all necessary parameters to connect
+    to a PostgreSQL database for use as a memory backend. It supports both
+    direct parameter specification and environment variable loading.
+
+    Attributes:
+        host: Database host address (default: "localhost")
+        port: Database port number (default: 5432)
+        database: Name of the PostgreSQL database
+        user: Username for database authentication
+        password: Password for database authentication
+        sslmode: SSL mode for the connection (default: "prefer")
+        max_size: Maximum number of connections in the pool (default: 20)
+        autocommit: Whether to enable autocommit mode (default: True)
+        prepare_threshold: Number of statements to prepare before using server-side prepared
+                            statements (default: 0)
+        row_factory: Function to convert rows to desired format (default: dict_row)
+    """
+
+    host: str = "localhost"
+    """Database host address (default: 'localhost')."""
+
+    port: int = 5432
+    """Database port number (default: 5432)."""
+
+    database: str
+    """Name of the PostgreSQL database."""
+
+    user: str
+    """Username for database authentication."""
+
+    password: SecretStr
+    """Password for database authentication."""
+
+    sslmode: str = "prefer"
+    """SSL mode for the connection (default: 'prefer'). Options: 'disable', 'allow', 'prefer',
+    'require', 'verify-ca', 'verify-full'."""
+
+    max_size: int = 20
+    """Maximum number of connections in the pool (default: 20)."""
+
+    autocommit: bool = True
+    """Whether to enable autocommit mode (default: True)."""
+
+    prepare_threshold: int = 0
+    """Number of statements to prepare before using server-side prepared statements (default: 0)."""
+
+    row_factory: Any = dict_row
+    """Function to convert rows to desired format (default: dict_row)."""
+
+    @classmethod
+    def from_env(cls) -> PostgresMemoryConfig:
+        """
+        Create a PostgresMemoryConfig instance from environment variables.
+
+        This method reads the necessary configuration parameters from environment
+        variables and constructs a PostgresMemoryConfig instance. It raises a
+        ValueError if any required parameters are missing.
+
+        Required Environment Variables:
+            - PSQL_HOST (or defaults to 'localhost')
+            - PSQL_PORT (or defaults to 5432)
+            - PSQL_DATABASE (required)
+            - PSQL_USERNAME (required)
+            - PSQL_PASSWORD (required)
+
+        Optional Environment Variables:
+            - PSQL_SSLMODE (default: "prefer")
+            - PSQL_MAX_SIZE (default: 20)
+            - PSQL_AUTOCOMMIT (default: True)
+            - PSQL_PREPARE_THRESHOLD (default: 0)
+
+        Returns:
+            PostgresMemoryConfig instance with parameters loaded from environment
+
+        Raises:
+            ValueError: If any required environment variables are missing or invalid
+
+        Example:
+            ```bash
+            export PSQL_HOST="localhost"
+            export PSQL_PORT="5432"
+            export PSQL_DATABASE="composio_memory"
+            export PSQL_USERNAME="postgres"
+            export PSQL_PASSWORD="secret"
+            export PSQL_SSLMODE="require"
+            ```
+
+            ```python
+            config = PostgresMemoryConfig.from_env()
+            ```
+        """
+        try:
+            # Read configuration from environment with defaults
+            host = os.getenv("PSQL_HOST", "localhost")
+            port_str = os.getenv("PSQL_PORT", "5432")
+            database = os.getenv("PSQL_DATABASE")
+            user = os.getenv("PSQL_USERNAME")
+            password = os.getenv("PSQL_PASSWORD")
+
+            # Validate required fields
+            if not database:
+                raise ValueError(
+                    "PSQL_DATABASE environment variable is required. "
+                    "Please set it to your PostgreSQL database name."
+                )
+            if not user:
+                raise ValueError(
+                    "PSQL_USERNAME environment variable is required. "
+                    "Please set it to your PostgreSQL username."
+                )
+            if not password:
+                raise ValueError(
+                    "PSQL_PASSWORD environment variable is required. "
+                    "Please set it to your PostgreSQL password."
+                )
+
+            # Parse and validate port
+            try:
+                port = int(port_str)
+                if port < 1 or port > 65535:
+                    raise ValueError(
+                        f"PSQL_PORT must be between 1 and 65535, got: {port}"
+                    )
+            except ValueError as port_error:
+                raise ValueError(
+                    f"PSQL_PORT must be a valid integer between 1 and 65535, got: {port_str}"
+                ) from port_error
+
+            # Parse optional configuration with validation
+            sslmode = os.getenv("PSQL_SSLMODE", "prefer")
+            valid_sslmodes = [
+                "disable",
+                "allow",
+                "prefer",
+                "require",
+                "verify-ca",
+                "verify-full",
+            ]
+            if sslmode not in valid_sslmodes:
+                raise ValueError(
+                    f"PSQL_SSLMODE must be one of {valid_sslmodes}, got: {sslmode}"
+                )
+
+            max_size_str = os.getenv("PSQL_MAX_SIZE", "20")
+            try:
+                max_size = int(max_size_str)
+                if max_size < 1:
+                    raise ValueError(
+                        f"PSQL_MAX_SIZE must be at least 1, got: {max_size}"
+                    )
+            except ValueError as max_size_error:
+                raise ValueError(
+                    f"PSQL_MAX_SIZE must be a valid positive integer, got: {max_size_str}"
+                ) from max_size_error
+
+            autocommit_str = os.getenv("PSQL_AUTOCOMMIT", "true").lower()
+            autocommit = autocommit_str in ("true", "1", "yes", "on")
+
+            prepare_threshold_str = os.getenv("PSQL_PREPARE_THRESHOLD", "0")
+            try:
+                prepare_threshold = int(prepare_threshold_str)
+                if prepare_threshold < 0:
+                    raise ValueError(
+                        f"PSQL_PREPARE_THRESHOLD must be non-negative, got: {prepare_threshold}"
+                    )
+            except ValueError as threshold_error:
+                raise ValueError(
+                    f"PSQL_PREPARE_THRESHOLD must be a valid non-negative integer, "
+                    f"got: {prepare_threshold_str}"
+                ) from threshold_error
+
+            return cls(
+                host=host,
+                port=port,
+                database=database,
+                user=user,
+                password=SecretStr(password),
+                sslmode=sslmode,
+                max_size=max_size,
+                autocommit=autocommit,
+                prepare_threshold=prepare_threshold,
+            )
+
+        except ValueError as ve:
+            # Re-raise ValueError with context
+            raise ValueError(
+                f"Failed to load PostgreSQL configuration from environment: {ve}"
+            ) from ve
+        except Exception as e:
+            # Catch any other unexpected errors
+            raise ValueError(
+                f"Unexpected error loading PostgreSQL configuration from environment: {e}"
+            ) from e
+
+    async def initialize_db_pool(self, ctx: Context) -> AsyncConnectionPool[Any]:
+        """
+        Initialize and return a PostgreSQL async connection pool.
+
+        Creates an async connection pool using the configured database parameters.
+        The pool manages connections efficiently and provides proper resource cleanup.
+
+        Args:
+            ctx: Context object for logging and operation context
+
+        Returns:
+            AsyncConnectionPool: Configured connection pool ready for use
+
+        Raises:
+            Exception: If connection pool creation fails
+
+        Note:
+            The connection pool should be properly closed when no longer needed
+            to avoid resource leaks.
+        """
+        ctx.logger.info(
+            f"Initializing PostgreSQL connection pool, host: {self.host}, "
+            f"port: {self.port}, database: {self.database}, user: {self.user}, "
+            f"sslmode: {self.sslmode}, max_size: {self.max_size}"
+        )
+
+        try:
+            ctx.logger.debug(
+                f"Creating AsyncConnectionPool, database: {self.database}, "
+                f"max_size: {self.max_size}"
+            )
+            # Create the pool without opening it in the constructor
+            pool = AsyncConnectionPool(
+                conninfo=f"postgres://{self.user}:{self.password.get_secret_value()}"
+                f"@{self.host}:{self.port}/{self.database}"
+                f"?sslmode={self.sslmode}",
+                max_size=self.max_size,
+                kwargs={
+                    "autocommit": self.autocommit,
+                    "prepare_threshold": self.prepare_threshold,
+                    "row_factory": self.row_factory,
+                },
+                open=False,  # Don't open in constructor to avoid deprecation warning
+            )
+
+            ctx.logger.debug(f"Opening connection pool, database: {self.database}")
+            # Explicitly open the pool
+            await pool.open()
+
+            ctx.logger.info(
+                f"PostgreSQL connection pool initialized and opened successfully, "
+                f"max_size: {self.max_size}, database: {self.database}"
+            )
+
+            return pool
+
+        except Exception as e:
+            ctx.logger.error(
+                f"Failed to initialize PostgreSQL connection pool, "
+                f"host: {self.host}, port: {self.port}, "
+                f"database: {self.database}, error: {str(e)}, "
+                f"error_type: {type(e).__name__}",
+                exc_info=True,
+            )
+            raise
+
+
+class ComposioService:
+    """
+    Production-ready service for building Composio-integrated AI agents.
+
+    This service provides a complete integration layer for building AI agents that can:
+    - Authenticate users with external services through Composio
+    - Manage tool access and permissions
+    - Execute actions on behalf of users
+    - Maintain conversation memory across sessions
+    - Handle chat protocols for real-time communication
+
+    The service is designed to be async-first, thread-safe, and production-ready
+    with comprehensive error handling, structured logging, and resource management.
+
+    Architecture:
+        - Uses LangChain's ChatOpenAI for LLM communication
+        - Integrates with Composio for tool management and execution
+        - Supports PostgreSQL for persistent memory storage
+        - Implements uAgent chat protocol for communication
+        - Provides automatic authentication flow management
+
+    Example:
+        ```python
+        import asyncio
+        from composio_integration import ComposioService, ComposioConfig, ToolConfig
+
+        async def main():
+            # Configure Composio integration
+            config = ComposioConfig.from_env(
+                tool_configs=[
+                    ToolConfig.from_toolkit("GitHub Tools", "auth_123", "GITHUB"),
+                    ToolConfig.from_search("Calendar Tools", "auth_456", "calendar events")
+                ]
+            )
+
+            # Method 1: Manual resource management
+            service = ComposioService(
+                composio_config=config,
+                api_key="your_llm_api_key",
+                model_name="gpt-4",
+                memory_config=PostgresMemoryConfig.from_env()
+            )
+            try:
+                # Use service...
+                protocol = service.protocol
+            finally:
+                await service.cleanup()
+
+            # Method 2: Context manager (recommended)
+            async with ComposioService(
+                composio_config=config,
+                api_key="your_llm_api_key",
+                model_name="gpt-4",
+                memory_config=PostgresMemoryConfig.from_env()
+            ) as service:
+                protocol = service.protocol
+                # Automatic cleanup when exiting context
+
+        asyncio.run(main())
+        ```
+
+    Threading:
+        This class is thread-safe. All async operations use proper locking
+        and the database connection pool is designed for concurrent access.
+
+    Error Handling:
+        The service implements comprehensive error handling with custom exceptions.
+        All operations are logged with structured context for debugging and monitoring.
+
+    Memory Management:
+        If PostgreSQL memory is configured, the service automatically manages
+        database connections and ensures proper cleanup of resources. The connection
+        pool is opened explicitly to avoid deprecation warnings.
+    """
+
+    def __init__(
+        self,
+        composio_config: ComposioConfig,
+        api_key: str | None = None,
+        model_name: str | None = None,
+        base_url: str | None = None,
+        model_context_window: int | None = None,
+        tool_response_token_limit: int | None = None,
+        memory_config: PostgresMemoryConfig | None = None,
+    ) -> None:
+        """
+        Initialize the Composio service with configuration and dependencies.
+
+        Args:
+            composio_config: Configuration for Composio tool integration
+            ctx: Context object for logging and operation context
+            api_key: API key for the language model (or set LLM_API_KEY env var)
+            model_name: Name of the language model to use (or set LLM_MODEL_NAME env var)
+            base_url: Base URL for the language model API (or set LLM_BASE_URL env var)
+            model_context_window: Optional context window size for the model
+                                  (or set LLM_MODEL_CONTEXT_WINDOW env var)
+            tool_response_token_limit: Optional max tokens for tool responses
+                                       (or set LLM_TOOL_RESPONSE_TOKEN_LIMIT env var)
+            memory_config: Optional PostgreSQL configuration for persistent memory
+
+        Raises:
+            ValueError: If required configuration is missing or invalid
+            ConfigurationError: If Composio client initialization fails
+
+        Environment Variables:
+            LLM_API_KEY: API key for language model authentication
+            LLM_BASE_URL: Base URL for language model API (default: https://api.asi1.ai/v1)
+            LLM_MODEL_NAME: Model name to use (default: asi1-mini)
+            LLM_MODEL_CONTEXT_WINDOW: Context window size (default: 128000)
+            LLM_TOOL_RESPONSE_TOKEN_LIMIT: Max tokens for tool responses
+                                          (default: 80% of context window)
+
+        Example:
+            ```python
+            # Using environment variables
+            service = ComposioService(composio_config=config)
+
+            # Using explicit parameters
+            service = ComposioService(
+                composio_config=config,
+                api_key="your_api_key",
+                model_name="gpt-4",
+                base_url="https://api.openai.com/v1"
+            )
+            ```
+        """
+
+        logger.info(
+            f"Initializing ComposioService, has_memory_config: {memory_config is not None}, "
+            f"tool_configs_count: {len(composio_config.tool_configs or [])}, "
+            f"auth_config_ids: {list(composio_config.get_auth_config_ids())}"
+        )
+
+        # Resolve API configuration from parameters or environment
+        api_key = api_key or os.getenv("LLM_API_KEY")
+        if not api_key:
+            logger.error(
+                "API key not provided in parameter or LLM_API_KEY environment variable"
+            )
+            raise ValueError(
+                "API key must be provided via parameter or LLM_API_KEY env var"
+            )
+
+        base_url = base_url or os.getenv("LLM_BASE_URL", "https://api.asi1.ai/v1")
+        if not base_url:
+            logger.error(
+                "Base URL not provided in parameter or LLM_BASE_URL environment variable"
+            )
+            raise ValueError(
+                "Base URL must be provided via parameter or LLM_BASE_URL env var"
+            )
+
+        self._model = model_name or os.getenv("LLM_MODEL_NAME", "asi1-mini")
+        if not self._model:
+            logger.error(
+                "Model name not provided in parameter or LLM_MODEL_NAME environment variable"
+            )
+            raise ValueError(
+                "Model name must be provided via parameter or LLM_MODEL_NAME env var"
+            )
+
+        self._model_context_window = model_context_window or int(
+            os.getenv("LLM_MODEL_CONTEXT_WINDOW", "128000")
+        )
+        self._tool_response_token_limit = tool_response_token_limit or int(
+            os.getenv("LLM_TOOL_RESPONSE_TOKEN_LIMIT", None)
+            or self._model_context_window * 0.8
+        )
+
+        base_url_preview = base_url[:50] + "..." if len(base_url) > 50 else base_url
+        logger.debug(
+            f"Configuration resolved, model: {self._model}, "
+            f"base_url: {base_url_preview}, "
+            f"model_context_window: {self._model_context_window}, "
+            f"tool_response_token_limit: {self._tool_response_token_limit}"
+        )
+
+        # Initialize instance variables
+        self._setup_completed = False
+        self._memory_config = memory_config
+        self._pool: AsyncConnectionPool | None = None
+
+        try:
+            logger.debug(f"Initializing language model client, model: {self._model}")
+            # Initialize language model client
+            self._llm = ChatOpenAI(
+                model=self._model, api_key=SecretStr(api_key), base_url=base_url
+            )
+            logger.info(
+                f"Language model client initialized successfully, "
+                f"model: {self._model}, base_url: {base_url_preview}"
+            )
+
+            logger.debug("Initializing Composio client")
+            # Initialize Composio client
+            self._composio_config = composio_config
+            self._client = ComposioClient(config=composio_config)
+            logger.info("Composio client initialized successfully")
+
+            logger.debug("Initializing chat protocol")
+            # Initialize chat protocol
+            self._protocol = AgentChatProtocol(spec=chat_protocol_spec)
+            logger.info("Chat protocol initialized successfully")
+
+        except Exception as e:
+            logger.error(
+                f"Failed to initialize ComposioService components, "
+                f"error: {str(e)}, error_type: {type(e).__name__}",
+                exc_info=True,
+            )
+            raise ConfigurationError(
+                "Failed to initialize ComposioService",
+                details={"original_error": str(e)},
+                operation="service_initialization",
+            ) from e
+
+        logger.info(
+            f"ComposioService initialization completed successfully, "
+            f"service_id: {id(self)}, memory_enabled: {memory_config is not None}, "
+            f"tools_configured: {len(composio_config.tool_configs or [])}"
+        )
+
+    async def _send_chat_message(
+        self, text: str, ctx: Context, sender: str, end_session: bool = False
+    ) -> None:
+        """
+        Send a chat message to a user through the chat protocol.
+
+        Args:
+            text: Message text to send
+            ctx: Chat context for message routing
+            sender: Recipient user ID
+            end_session: Whether to include end-session signal
+
+        Raises:
+            Exception: If message sending fails (logged but not re-raised)
+        """
+        try:
+            session_id_str = str(ctx.session) if hasattr(ctx, "session") else "None"
+            ctx.logger.info(
+                f"Sending chat message, sender: {sender}, "
+                f"text_length: {len(text)}, end_session: {end_session}, "
+                f"session_id: {session_id_str}"
+            )
+
+            content: list[AgentContent] = [TextContent(type="text", text=text)]
+
+            if end_session:
+                content.append(EndSessionContent(type="end-session"))
+                ctx.logger.debug("Added end-session signal to message")
+
+            await ctx.send(
+                sender,
+                ChatMessage(
+                    timestamp=datetime.now(UTC),
+                    msg_id=uuid4(),
+                    content=content,
+                ),
+            )
+
+            ctx.logger.info(
+                f"Chat message sent successfully, sender: {sender}, message_length: {len(text)}"
+            )
+
+        except Exception as e:
+            ctx.logger.error(
+                f"Failed to send chat message, sender: {sender}, "
+                f"text_length: {len(text)}, error: {str(e)}, "
+                f"error_type: {type(e).__name__}",
+                exc_info=True,
+            )
+
+    async def _authenticate_user(
+        self, user_id: UserId, auth_config_id: AuthConfigId, ctx: Context
+    ) -> AsyncGenerator[str]:
+        """
+        Authenticate a user for a specific auth configuration.
+
+        This method handles the complete authentication flow:
+        1. Creates an authentication request
+        2. Provides the user with an authentication URL
+        3. Waits for the user to complete authentication
+        4. Verifies the authentication result
+        5. Handles retries for timeout scenarios
+
+        Args:
+            user_id: Unique identifier for the user
+            auth_config_id: Authentication configuration ID to authenticate against
+            ctx: Context object for logging and operation context
+
+        Yields:
+            str: Status messages for the user about authentication progress
+
+        Raises:
+            AuthenticationError: If authentication fails unexpectedly (logged but not raised)
+        """
+        tool_group = self._composio_config.get_tool_group_name_by_auth_config(
+            auth_config_id
+        )
+        ctx.logger.info(
+            f"Starting user authentication flow, user_id: {user_id}, "
+            f"auth_config_id: {auth_config_id}, tool_group: {tool_group}"
+        )
+
+        try:
+            ctx.logger.debug(
+                f"Creating authentication request, user_id: {user_id}, "
+                f"auth_config_id: {auth_config_id}"
+            )
+            # Create auth request for the specified auth config
+            auth_response = await self._client.create_auth_request(
+                user_id, auth_config_id, ctx
+            )
+
+            has_redirect = auth_response.redirect_url is not None
+            ctx.logger.info(
+                f"Authentication request created, user_id: {user_id}, "
+                f"auth_config_id: {auth_config_id}, status: {auth_response.status}, "
+                f"has_redirect_url: {has_redirect}"
+            )
+
+            if auth_response.is_pending and auth_response.redirect_url:
+                if not auth_response.connection_request:
+                    error_msg = "Connection request object missing in auth response."
+                    ctx.logger.error(
+                        f"{error_msg}, user_id: {user_id}, "
+                        f"auth_config_id: {auth_config_id}"
+                    )
+                    yield (
+                        "Sorry, an error occurred while creating the authentication request. "
+                        "Please try again later."
+                    )
+                    return
+
+                tool_group_name = (
+                    self._composio_config.get_tool_group_name_by_auth_config(
+                        auth_config_id
+                    )
+                )
+                redirect_url_len = len(auth_response.redirect_url)
+                ctx.logger.info(
+                    f"Authentication URL provided to user, user_id: {user_id}, "
+                    f"auth_config_id: {auth_config_id}, tool_group: {tool_group_name}, "
+                    f"redirect_url_length: {redirect_url_len}"
+                )
+                yield (
+                    f"To connect with {tool_group_name}, please authenticate by "
+                    f"[clicking here]({auth_response.redirect_url})..."
+                )
+
+                # Wait for user to complete authentication
+                ctx.logger.info(
+                    f"Waiting for user to complete authentication, "
+                    f"user_id: {user_id}, auth_config_id: {auth_config_id}"
+                )
+                verify_response = await self._client.verify_auth_request(
+                    auth_response.connection_request, ctx=ctx
+                )
+
+                if verify_response.is_success:
+                    ctx.logger.info(
+                        f"User authentication completed successfully, "
+                        f"user_id: {user_id}, auth_config_id: {auth_config_id}, "
+                        f"connection_id: {verify_response.connection_id}"
+                    )
+                    yield "Authentication successful!"
+
+                elif verify_response.status == "timeout":
+                    ctx.logger.warning(
+                        f"Authentication timed out, retrying, "
+                        f"user_id: {user_id}, auth_config_id: {auth_config_id}"
+                    )
+                    yield "Authentication timed out. Please try again."
+                    async for msg in self._authenticate_user(
+                        user_id, auth_config_id, ctx
+                    ):
+                        yield msg
+                    return
+
+                else:
+                    ctx.logger.error(
+                        f"Authentication failed, user_id: {user_id}, "
+                        f"auth_config_id: {auth_config_id}, "
+                        f"status: {verify_response.status}, "
+                        f"message: {verify_response.message}"
+                    )
+                    yield f"Authentication failed: {verify_response.message}"
+                    return
+            else:
+                error_msg = (
+                    f"Failed to create authentication request: {auth_response.message}"
+                )
+                ctx.logger.error(
+                    f"{error_msg}, user_id: {user_id}, "
+                    f"auth_config_id: {auth_config_id}, status: {auth_response.status}"
+                )
+                yield (
+                    "Sorry, an error occurred while creating the authentication request. "
+                    "Please try again later."
+                )
+                return
+
+        except Exception as e:
+            ctx.logger.error(
+                f"Unexpected error during user authentication, "
+                f"user_id: {user_id}, auth_config_id: {auth_config_id}, "
+                f"error: {str(e)}, error_type: {type(e).__name__}",
+                exc_info=True,
+            )
+            yield (
+                "Sorry, an unexpected error occurred during authentication. Please try again later."
+            )
+            return
+
+    async def _check_user_connections(
+        self, user_id: UserId, ctx: Context
+    ) -> AsyncGenerator[str]:
+        """
+        Check and establish user connections for all required auth configurations.
+
+        This method verifies if the user has active connections for all configured
+        authentication providers. If connections are missing, it initiates the
+        authentication flow for each required configuration.
+
+        Args:
+            user_id: Unique identifier for the user
+            ctx: Context object for logging and operation context
+
+        Yields:
+            str: Status messages about connection checking and authentication progress
+
+        Note:
+            This method is recursive - it re-checks connections after each authentication
+            attempt to ensure all required connections are established.
+        """
+        auth_config_ids = list(self._composio_config.get_auth_config_ids())
+        ctx.logger.info(
+            f"Checking user connections, user_id: {user_id}, "
+            f"required_auth_configs: {auth_config_ids}"
+        )
+
+        try:
+            ctx.logger.debug(f"Fetching connection status, user_id: {user_id}")
+            # Check if user has an active connection
+            status = await self._client.connection_exists(user_id, ctx)
+
+            missing_count = len(status.connections_required)
+            ctx.logger.info(
+                f"Connection status retrieved, user_id: {user_id}, "
+                f"user_connected: {status.user_connected}, "
+                f"active_connections: {status.active_connections}, "
+                f"total_configs: {status.total_configs}, "
+                f"missing_connections: {missing_count}"
+            )
+
+            if not status.user_connected:
+                if not status.connections_required:
+                    error_msg = (
+                        "No authentication configurations available for connection."
+                    )
+                    ctx.logger.error(
+                        f"{error_msg}, user_id: {user_id}, "
+                        f"total_configs: {status.total_configs}, "
+                        f"active_connections: {status.active_connections}"
+                    )
+                    yield "No authentication configurations available for connection."
+                    return
+
+                conn_progress = f"{status.active_connections}/{status.total_configs}"
+                ctx.logger.info(
+                    f"User needs authentication for missing connections, "
+                    f"user_id: {user_id}, "
+                    f"missing_connections: {status.connections_required}, "
+                    f"connection_progress: {conn_progress}"
+                )
+
+                # Authenticate each missing connection
+                for auth_config_id in status.connections_required:
+                    ctx.logger.info(
+                        f"Starting authentication for missing connection, "
+                        f"user_id: {user_id}, auth_config_id: {auth_config_id}"
+                    )
+                    async for auth_msg in self._authenticate_user(
+                        user_id, auth_config_id, ctx
+                    ):
+                        yield auth_msg
+
+                # Re-check connections after authentication attempts
+                ctx.logger.info(
+                    f"Re-checking connections after authentication attempts, "
+                    f"user_id: {user_id}"
+                )
+                async for conn_msg in self._check_user_connections(user_id, ctx):
+                    yield conn_msg
+
+            else:
+                ctx.logger.info(
+                    f"User already has all required connections, "
+                    f"user_id: {user_id}, "
+                    f"active_connections: {status.active_connections}, "
+                    f"total_configs: {status.total_configs}"
+                )
+
+        except Exception as e:
+            ctx.logger.error(
+                f"Error checking user connections, user_id: {user_id}, "
+                f"error: {str(e)}, error_type: {type(e).__name__}",
+                exc_info=True,
+            )
+            yield (
+                "Sorry, an error occurred while checking your connections. Please try again later."
+            )
+        return
+
+    async def _create_pre_model_hook(
+        self,
+        model_name: str,
+        max_tokens: int,
+        max_tool_response_tokens: int,
+        strategy: str,
+        agent_prompt: str,
+        ctx: Context,
+    ) -> list[Callable[[AgentState[str], Runtime], dict[str, Any] | None]]:
+        """
+        Factory function to create a pre_model_hook with custom configuration for memory trimming.
+
+        This hook implements the 'Trim messages' pattern to keep the conversation history
+        within the specified token limit, ensuring the most recent context is prioritized.
+
+        The hook system addresses a critical challenge in long-running conversations:
+        as conversation history grows, it can exceed the model's context window. This
+        implementation uses a two-stage trimming approach:
+
+        1. **Tool Response Truncation**: Individual tool responses are truncated if they
+           exceed max_tool_response_tokens. This prevents a single large response from
+           consuming the entire context budget.
+
+        2. **History Trimming**: The full conversation history is trimmed to fit within
+           max_tokens, using the specified strategy to determine which messages to keep.
+
+        Args:
+            model_name: Name of the language model (for tokenization)
+            max_tokens: Maximum tokens allowed in the model context
+            max_tool_response_tokens: Max tokens for individual tool responses
+            strategy: Trimming strategy ('remove_oldest', 'remove_newest', 'balanced')
+            agent_prompt: Optional static prompt to reserve tokens for
+            ctx: Context object for logging and operation context
+
+        Returns:
+            List of pre-model hook functions to be applied before each model call
+
+        Note:
+            The hooks are applied in sequence: tool response truncation first,
+            then history trimming. This ensures large tool outputs are handled
+            before overall context management.
+        """
+
+        @before_model
+        def truncate_large_tool_responses(
+            state: AgentState[str], runtime: Runtime
+        ) -> dict[str, Any] | None:
+            """
+            Truncate tool responses that exceed a certain token limit.
+
+            This prevents large tool outputs from overwhelming the context window.
+            """
+            # Use the appropriate encoding for tokenization
+            try:
+                encoding = tiktoken.encoding_for_model(model_name)
+            except KeyError:
+                ctx.logger.warning(
+                    f"Model {model_name} not found in tiktoken, "
+                    f"using cl100k_base encoding, model_name: {model_name}"
+                )
+                encoding = tiktoken.get_encoding("cl100k_base")
+
+            messages = state.get("messages", [])
+            if not messages:
+                ctx.logger.debug(
+                    "No messages in state, skipping tool response truncation"
+                )
+                return None
+
+            last_message = messages[-1]
+
+            # Only process tool messages
+            if not isinstance(last_message, ToolMessage):
+                msg_type = type(last_message).__name__
+                ctx.logger.debug(
+                    f"Last message is not a ToolMessage, skipping truncation, "
+                    f"message_type: {msg_type}"
+                )
+                return None
+
+            content = last_message.content
+            tokens = encoding.encode(content)
+            num_tokens = len(tokens)
+
+            ctx.logger.debug(
+                f"Checking tool response size, tool_response_tokens: {num_tokens}, "
+                f"max_tool_response_tokens: {max_tool_response_tokens}, "
+                f"content_length: {len(content)}"
+            )
+
+            # If within limit, skip truncation
+            if num_tokens <= max_tool_response_tokens:
+                ctx.logger.debug(
+                    "Tool response within token limit, no truncation needed"
+                )
+                return None
+
+            # Truncate tokens and decode back to string
+            truncated_tokens = tokens[:max_tool_response_tokens]
+            truncated_content = encoding.decode(truncated_tokens)
+
+            # Add truncation note
+            truncated_content += (
+                f"\n\n[... Truncated. Original length: {num_tokens} tokens. "
+                f"Showing first {max_tool_response_tokens} tokens only ...]"
+                "You must explain this situation to the user clearly."
+            )
+
+            # Replace message content
+            last_message.content = truncated_content
+
+            compression_ratio = (max_tool_response_tokens / num_tokens) * 100
+            ctx.logger.info(
+                f"Tool response truncated due to size limit, "
+                f"original_tokens: {num_tokens}, "
+                f"truncated_tokens: {max_tool_response_tokens}, "
+                f"original_content_length: {len(content)}, "
+                f"truncated_content_length: {len(truncated_content)}, "
+                f"compression_ratio: {compression_ratio:.1f}%"
+            )
+
+            return {"messages": messages[:-1] + [last_message]}
+
+        @before_model
+        def truncate_overlong_history(
+            state: AgentState[str], runtime: Runtime
+        ) -> dict[str, Any] | None:
+            """
+            Trim conversation history so that total tokens fit within model limits.
+            """
+            messages = state.get("messages", [])
+            if not messages:
+                logger.debug("No messages in state, skipping history truncation")
+                return None
+
+            try:
+                encoding = tiktoken.encoding_for_model(model_name)
+            except KeyError:
+                logger.warning(
+                    f"Model {model_name} not found in tiktoken, "
+                    f"using cl100k_base encoding, model_name: {model_name}"
+                )
+                encoding = tiktoken.get_encoding("cl100k_base")
+
+            # Reserve tokens for agent prompt if provided
+            reserved_tokens = 0
+            if agent_prompt:
+                reserved_tokens = len(encoding.encode(agent_prompt))
+
+            # Available token budget with safety margin
+            available_tokens = int((max_tokens - reserved_tokens) * 0.9)
+
+            # Calculate current token count
+            current_tokens = sum(len(encoding.encode(m.content)) for m in messages)
+
+            logger.debug(
+                f"Checking conversation history size, "
+                f"message_count: {len(messages)}, "
+                f"current_tokens: {current_tokens}, max_tokens: {max_tokens}, "
+                f"reserved_tokens: {reserved_tokens}, "
+                f"available_tokens: {available_tokens}, strategy: {strategy}"
+            )
+
+            # If within limit, skip trimming
+            if current_tokens <= available_tokens:
+                logger.debug(
+                    "Conversation history within token limit, no trimming needed"
+                )
+                return None
+
+            # Use helper function to trim messages with tiktoken-based token counter
+            trimmed_messages = trim_messages(
+                messages,
+                strategy=strategy,
+                token_counter=lambda msgs: sum(
+                    len(encoding.encode(m.content)) for m in msgs
+                ),
+                max_tokens=available_tokens,
+                start_on="human",
+                end_on=("human", "tool"),
+            )
+
+            trimmed_tokens = sum(
+                len(encoding.encode(m.content)) for m in trimmed_messages
+            )
+
+            compression_ratio = (trimmed_tokens / current_tokens) * 100
+            messages_removed = len(messages) - len(trimmed_messages)
+            tokens_saved = current_tokens - trimmed_tokens
+            logger.info(
+                f"Conversation history trimmed to fit token limit, "
+                f"original_message_count: {len(messages)}, "
+                f"trimmed_message_count: {len(trimmed_messages)}, "
+                f"original_tokens: {current_tokens}, "
+                f"trimmed_tokens: {trimmed_tokens}, "
+                f"messages_removed: {messages_removed}, "
+                f"tokens_saved: {tokens_saved}, "
+                f"compression_ratio: {compression_ratio:.1f}%, strategy: {strategy}"
+            )
+
+            return {"messages": trimmed_messages}
+
+        logger.debug(
+            f"Pre-model hooks created, model_name: {model_name}, "
+            f"max_tokens: {max_tokens}, "
+            f"max_tool_response_tokens: {max_tool_response_tokens}, "
+            f"strategy: {strategy}, has_agent_prompt: {bool(agent_prompt)}"
+        )
+
+        return [truncate_large_tool_responses, truncate_overlong_history]
+
+    async def _run_agent_query(
+        self, agent: Any, query: str, session_id: str, ctx: Context
+    ) -> str:
+        """
+        Execute a query against the LangChain agent and return the response.
+
+        This method processes user queries through the agent's reasoning and action
+        loop, using asynchronous streaming for efficient execution.
+
+        Args:
+            agent: The configured LangChain agent instance (CompiledStateGraph).
+            query: User's natural language query.
+            session_id: Unique session identifier for memory context.
+            ctx: Chat context for logging and message handling.
+
+        Returns:
+            str: Agent's final response to the query, or error message if processing fails.
+        """
+        query_preview = query[:100] + "..." if len(query) > 100 else query
+        ctx.logger.info(
+            f"Running agent query, session_id: {session_id}, "
+            f"query_length: {len(query)}, query_preview: {query_preview}"
+        )
+
+        try:
+            input_messages = {"messages": [HumanMessage(content=query)]}
+            config = {"configurable": {"thread_id": session_id}}
+
+            ctx.logger.debug(
+                f"Invoking agent, session_id: {session_id}, thread_id: {session_id}"
+            )
+
+            final_state = await agent.ainvoke(
+                input_messages,
+                config,
+            )
+
+            final_message = final_state.get("messages", [])[-1]
+            response_content = getattr(final_message, "content", None)
+            final_response = (
+                response_content
+                or "I couldn't generate a final text response to your query."
+            )
+
+            ctx.logger.info(
+                f"Agent query completed, session_id: {session_id}, "
+                f"response_length: {len(final_response)}, "
+                f"has_response: {bool(response_content)}"
+            )
+
+            return final_response
+
+        except Exception as e:
+            ctx.logger.error(
+                f"Error running agent query, session_id: {session_id}, "
+                f"query_length: {len(query)}, error: {str(e)}, "
+                f"error_type: {type(e).__name__}",
+                exc_info=True,
+            )
+            return f"An error occurred while processing your query: {str(e)}"
+
+    async def _structured_tool_to_dict(self, tool: StructuredTool) -> dict[str, Any]:
+        """
+        Converts a StructuredTool object to the dictionary format expected by
+        _create_agent_tool_prompt and _create_orchestrator_prompt methods.
+
+        This method extracts the schema information from a LangChain StructuredTool
+        and formats it into a dictionary structure that includes the function name,
+        description, and parameters in a format suitable for prompt generation.
+
+        Args:
+            tool: A StructuredTool instance from LangChain with args_schema defined
+
+        Returns:
+            A dictionary with 'function' key containing:
+                - name: Tool function name
+                - description: Tool description
+                - parameters: Dict with properties, required fields, and type definitions
+        """
+        # Extract schema from tool - try different methods for compatibility
+        if hasattr(tool.args_schema, "model_json_schema"):
+            schema = tool.args_schema.model_json_schema()
+        elif hasattr(tool.args_schema, "model_dump"):
+            schema = tool.args_schema.model_dump()
+        else:
+            # Fallback: treat as dict if already in dict format
+            schema = tool.args_schema if isinstance(tool.args_schema, dict) else {}
+
+        # Extract schema components with safe defaults
+        properties = schema.get("properties", {})
+        required = schema.get("required", [])
+        defs = schema.get("$defs", {})  # Type definitions for complex types
+
+        return {
+            "function": {
+                "name": tool.name,
+                "description": tool.description,
+                "parameters": {
+                    "properties": properties,
+                    "required": required,
+                    "$defs": defs,
+                },
+            }
+        }
+
+    async def _create_agent_tool_prompt(
+        self, tool_list: list[StructuredTool], agent_name: str
+    ) -> str:
+        """
+        Generates a prompt for an LLM agent, detailing all its available tools,
+        their descriptions, parameters, and required inputs.
+        """
+        tools_prompt = f"## {agent_name} Agent Tool Definitions\n"
+        tools_prompt += (
+            f"You are the {agent_name} Agent. Your task is to process user "
+            "requests by invoking the appropriate tools.\n\n"
+        )
+
+        tools_prompt += """IMPORTANT GUIDELINES:
+
+    1. Check Relevant Data First: You may receive a 'relevant_data' dictionary containing
+    information from other agents or previous steps. Always examine this data before calling
+    tools - it may contain exactly what you need.
+
+    2. Use Relevant Data: If relevant_data contains the information needed for your task,
+    use it directly in your tool calls rather than fetching it again.
+
+    3. Single Tool Call: Generate only ONE function call per turn based on the task description
+    and available tools.
+
+    4. Error Handling: If any error occurs during tool execution, respond with a clear error
+    message and do not attempt to call another tool.
+
+    5. Truncation Detection: When you receive tool responses, check if they contain truncation
+    markers like "[... Truncated. Original length: X tokens...]". If you see this:
+    - Note that the data was truncated due to size limits
+    - Include this information in your response (e.g., "Note: The results were truncated.
+      Only showing the first portion of X items requested")
+    - Be specific about what might be missing (e.g., "showing first 50 of 100 emails requested")
+
+    ---
+
+    """
+
+        for tool_def in tool_list:
+            tool_dict = await self._structured_tool_to_dict(tool_def)
+            function_data = tool_dict.get("function", {})
+            name = function_data.get("name", "N/A")
+            description = function_data.get("description", "No description provided.")
+            parameters = function_data.get("parameters", {})
+            required_params = parameters.get("required", [])
+            properties = parameters.get("properties", {})
+
+            tools_prompt += f"\n### Tool: {name}\n"
+            tools_prompt += f"Description: {description}\n"
+            tools_prompt += "Parameters:\n"
+
+            if not properties:
+                tools_prompt += "- *None*\n"
+                continue
+
+            for prop_name, prop_data in properties.items():
+                param_type = prop_data.get("type", "string")
+                param_desc = prop_data.get("description", "No description.")
+                is_required = (
+                    "[REQUIRED]" if prop_name in required_params else "[OPTIONAL]"
+                )
+
+                tools_prompt += (
+                    f"- {prop_name} ({param_type}, {is_required}): {param_desc}"
+                )
+
+                if param_type == "object" and "properties" in prop_data:
+                    tools_prompt += "\n  - Nested Properties: " + ", ".join(
+                        prop_data["properties"].keys()
+                    )
+
+                if "enum" in prop_data:
+                    allowed_values = ", ".join([f"`{v}`" for v in prop_data["enum"]])
+                    tools_prompt += f" Allowed Values: {allowed_values}"
+
+                tools_prompt += "\n"
+
+        tools_prompt += "\n---\nRemember: Check relevant_data first, then use tools to complete the task.\n"
+
+        return tools_prompt
+
+    async def _create_orchestrator_prompt(
+        self,
+        agent_tools_map: dict[str, list[StructuredTool]],
+    ) -> str:
+        """
+        Generates a high-level prompt for an Orchestrator LLM, explaining which
+        agents are available and the primary functions they manage.
+        """
+        orchestrator_prompt = "## Orchestrator Agent: Available Tool Agents\n"
+        orchestrator_prompt += (
+            "You are the Orchestrator Agent. Your primary role is to determine which specialized "
+            "agent can best handle the user's request and coordinate multi-step tasks.\n\n"
+        )
+
+        orchestrator_prompt += (
+            "You can invoke any of the following specialized agents:\n"
+        )
+        orchestrator_prompt += "---\n"
+
+        for agent_name, tool_list in agent_tools_map.items():
+            tool_summaries = []
+            for tool_def in tool_list:
+                tool_dict = await self._structured_tool_to_dict(tool_def)
+                name = tool_dict.get("function", {}).get("name", "N/A")
+                description = tool_dict.get("function", {}).get("description", "")
+
+                snippet = description.split(";")[0].split(",")[0]
+                snippet = snippet.split(".")[0] + "..."
+
+                tool_summaries.append(f"`{name}`: {snippet}")
+
+            orchestrator_prompt += f"### Agent: {agent_name}\n"
+            orchestrator_prompt += (
+                f"This agent handles tasks related to {agent_name}.\n"
+            )
+            orchestrator_prompt += (
+                "Key Capabilities: " + ", ".join(tool_summaries) + "\n\n"
+            )
+
+        orchestrator_prompt += """---
+
+    CRITICAL RULES FOR MULTI-STEP TASKS:
+
+    1. Memory Isolation: Each specialized agent has its own separate memory. They CANNOT see each
+    other's conversation history or data.
+
+    2. Data Passing: When a task requires multiple agents in sequence:
+    - Call the first agent and wait for its response
+    - Extract ALL relevant data from the response
+    - Pass that data to the next agent via the 'relevant_data' parameter
+
+    3. Tool Invocation Format:
+    - agent_name(task_description="clear description", relevant_data={"key": "value"})
+    - The 'relevant_data' dict should contain any information the agent needs from previous steps
+
+    4. Sequential Processing:
+    - For tasks like "fetch X and send it via Y", you must:
+        a) Call the agent that fetches X
+        b) Extract the fetched data from the response
+        c) Call the agent that sends via Y, passing the data in relevant_data
+
+    5. Single Agent Per Turn: Invoke only ONE agent per reasoning step. Wait for its response
+    before deciding the next action.
+
+    6. Truncation Awareness: When specialized agents return responses:
+    - Check if the response mentions truncation or partial results
+    - If data was truncated, include this in your final response to the user
+    - Be transparent and friendly about limitations (e.g., "I retrieved your emails, but due to
+      the large volume, I'm showing you the first 50. Let me know if you need a different subset.")
+    - Suggest alternatives if applicable (e.g., "Would you like me to filter by date or sender?")
+
+    7. Final Response: After all agents complete, synthesize their results into a single coherent
+    response that describes what was accomplished. If any truncation occurred, communicate this
+    clearly and helpfully to the user.
+
+    """
+
+        if (
+            self._composio_config.persona_prompt
+            and self._composio_config.persona_prompt.strip()
+        ):
+            orchestrator_prompt += (
+                f"### Your Persona\n{self._composio_config.persona_prompt.strip()}\n\n"
+            )
+            orchestrator_prompt += (
+                "Use this persona in your final response to the user, but maintain clarity "
+                "when coordinating between agents.\n"
+            )
+
+        return orchestrator_prompt
+
+    async def _create_specialized_agent_tool(
+        self,
+        agent_name: str,
+        tools: list[Any],
+        ctx: Context,
+        max_history_tokens: int,
+        max_tool_response_tokens: int,
+        model_name: str,
+    ) -> Any:
+        """
+        Creates a single, specialized LangChain ReAct agent with dedicated tools,
+        and a custom system prompt generated from the tool definitions.
+
+        This method implements the specialized agent pattern where each agent is
+        an expert in a specific domain (e.g., GitHub, Email, Calendar). The agent
+        is wrapped as a LangChain tool so it can be invoked by the orchestrator.
+
+        Key Design Decisions:
+            - **Tool Wrapping**: The agent is wrapped as a @tool function, making it
+              callable by the orchestrator with task_description and relevant_data parameters.
+
+            - **Isolated Memory**: Each specialized agent has its own conversation history,
+              isolated from other agents. This is why data passing via relevant_data is crucial.
+
+            - **Dynamic Prompts**: The system prompt is auto-generated from tool schemas,
+              ensuring the agent understands all available capabilities.
+
+            - **Token Management**: Pre-model hooks enforce token limits on both individual
+              tool responses and overall conversation history.
+
+        Args:
+            agent_name: Name of the specialized agent (e.g., "Email", "Calendar")
+            tools: List of StructuredTool instances for this agent
+            ctx: The conversation context for logging and session management
+            max_history_tokens: Max tokens for conversation history in this agent
+            max_tool_response_tokens: Max tokens for individual tool responses
+            model_name: Name of the language model (for tokenization)
+
+        Returns:
+            An async function decorated with @tool that can be invoked by the orchestrator.
+            The function signature is:
+                async def specilized_agent_tool(
+                    task_description: str,
+                    relevant_data: dict[str, Any] | None = None
+                ) -> str
+
+        Raises:
+            Exception: If agent creation fails (logged with full context)
+        """
+        ctx.logger.info(
+            f"Creating Specialized Agent: {agent_name}, tools_count: {len(tools)}"
+        )
+
+        try:
+            ctx.logger.debug(
+                f"Generating specialized prompt for agent: {agent_name}, tools_count: {len(tools)}"
+            )
+            specialized_prompt = await self._create_agent_tool_prompt(tools, agent_name)
+
+            ctx.logger.debug(f"Creating pre-model hooks for agent: {agent_name}")
+            pre_model_hook_func = await self._create_pre_model_hook(
+                model_name=model_name,
+                max_tokens=max_history_tokens,
+                max_tool_response_tokens=max_tool_response_tokens,
+                strategy="last",
+                agent_prompt=specialized_prompt,
+                ctx=ctx,
+            )
+
+            ctx.logger.debug(f"Creating LangChain agent for: {agent_name}")
+            config: dict[str, Any] = {
+                "model": self._llm,
+                "tools": tools,
+                "system_prompt": specialized_prompt,
+                "middleware": pre_model_hook_func,
+            }
+
+            agent = create_agent(**{k: v for k, v in config.items() if v is not None})
+
+            @tool(
+                agent_name.lower().replace(" ", "_") + "_agent",
+                description=(
+                    f"Use this agent to perform tasks requiring {agent_name} capabilities. "
+                    "Pass any data from previous steps via relevant_data."
+                ),
+            )
+            async def specialized_agent_tool(
+                task_description: str, relevant_data: dict[str, Any] | None = None
+            ) -> str:
+                """
+                Execute a task using the specialized agent's tools.
+
+                Args:
+                    task_description: Clear description of what needs to be done
+                    relevant_data: Dictionary containing data from previous agents/steps
+                            (e.g., {"user_profile": {...}, "recipient": "email@example.com"})
+
+                Returns:
+                    str: The agent's response after executing the task
+                """
+                data_keys = list(relevant_data.keys()) if relevant_data else []
+                ctx.logger.info(
+                    f"Invoking {agent_name} with task: {task_description}, "
+                    f"relevant_data_provided: {relevant_data is not None}, "
+                    f"relevant_data_keys: {data_keys}"
+                )
+
+                # Make relevant_data very visible in the prompt
+                prompt = f"Task: {task_description}\n\n"
+                if relevant_data:
+                    prompt += "Data from previous steps (use this information):\n"
+                    prompt += f"{relevant_data}\n\n"
+                else:
+                    prompt += "No data from previous steps provided.\n\n"
+
+                prompt += "Execute the task using the appropriate tools."
+
+                ctx.logger.debug(
+                    f"Executing task with agent: {agent_name}, prompt_length: {len(prompt)}"
+                )
+
+                response = await self._run_agent_query(
+                    agent, prompt, str(uuid4()), ctx=ctx
+                )
+
+                ctx.logger.info(
+                    f"Response from {agent_name}, response_length: {len(response)}"
+                )
+
+                return response
+
+            ctx.logger.info(f"Specialized Agent {agent_name} created successfully")
+            return specialized_agent_tool
+
+        except Exception as e:
+            ctx.logger.error(
+                f"Failed to create Specialized Agent {agent_name}: {e}", exc_info=True
+            )
+            raise
+
+    async def _create_orchestrator_agent(
+        self,
+        ctx: Context,
+        agent_tools_map: dict[str, list[Any]],
+        max_history_tokens: int,
+        max_tool_response_tokens: int,
+        model_name: str,
+        memory: AsyncPostgresSaver | None = None,
+    ) -> Any:
+        """
+        Creates a multi-agent system by instantiating specialized agents for each tool group
+        and wrapping them into an Orchestrator Agent for high-level delegation.
+
+        Args:
+            ctx: The conversation context for logging and session management
+            agent_tools_map: Mapping of agent names to their respective tool lists
+            max_history_tokens: Max tokens for conversation history in each agent
+            max_tool_response_tokens: Max tokens for individual tool responses
+            model_name: Name of the language model (for tokenization)
+            memory: Optional memory persistence instance for the orchestrator
+
+        Returns:
+            The final Orchestrator Agent.
+        """
+        agent_count = len(agent_tools_map)
+        ctx.logger.info(
+            f"Starting creation of multi-agent orchestrator system, "
+            f"agent_count: {agent_count}"
+        )
+
+        orchestrator_tools = []
+
+        for agent_name, tool_list in agent_tools_map.items():
+            try:
+                ctx.logger.debug(
+                    f"Creating specialized agent: {agent_name}, tool_count: {len(tool_list)}"
+                )
+                specialized_agent = await self._create_specialized_agent_tool(
+                    agent_name=agent_name,
+                    tools=tool_list,
+                    ctx=ctx,
+                    max_history_tokens=max_history_tokens,
+                    max_tool_response_tokens=max_tool_response_tokens,
+                    model_name=model_name,
+                )
+                orchestrator_tools.append(specialized_agent)
+                ctx.logger.debug(
+                    f"Successfully created specialized agent: {agent_name}"
+                )
+
+            except Exception as e:
+                ctx.logger.warning(
+                    f"Skipping agent {agent_name} due to creation error: {e}"
+                )
+                continue
+
+        if not orchestrator_tools:
+            error_msg = (
+                "No specialized agents could be successfully created to form "
+                f"the orchestrator. agent_tools_map: {agent_tools_map}, "
+                f"orchestrator_tools: {orchestrator_tools}"
+            )
+            ctx.logger.error(error_msg)
+            raise Exception(
+                "No specialized agents could be successfully created to form the orchestrator."
+            )
+
+        ctx.logger.debug(
+            f"Generating orchestrator system prompt, agent_count: {len(agent_tools_map)}"
+        )
+        # Use the helper function to generate the top-level system prompt
+        orchestrator_system_prompt = await self._create_orchestrator_prompt(
+            agent_tools_map
+        )
+
+        ctx.logger.debug("Creating pre-model hooks for orchestrator")
+        pre_model_hook_func = await self._create_pre_model_hook(
+            model_name=model_name,
+            max_tokens=max_history_tokens,
+            max_tool_response_tokens=max_tool_response_tokens,
+            strategy="last",
+            agent_prompt=orchestrator_system_prompt,
+            ctx=ctx,
+        )
+
+        orchestrator_config: dict[str, Any] = {
+            "model": self._llm,
+            "tools": orchestrator_tools,  # The tools are now the specialized agents
+            "system_prompt": orchestrator_system_prompt,
+            "middleware": pre_model_hook_func,
+        }
+
+        if memory:
+            orchestrator_config["checkpointer"] = memory
+            ctx.logger.debug("Memory checkpointer added to orchestrator configuration")
+
+        has_memory = memory is not None
+        ctx.logger.debug(
+            f"Creating orchestrator agent, "
+            f"orchestrator_tools_count: {len(orchestrator_tools)}, "
+            f"has_memory: {has_memory}"
+        )
+        orchestrator_agent = create_agent(
+            **{k: v for k, v in orchestrator_config.items() if v is not None}
+        )
+
+        ctx.logger.info(
+            f"Orchestrator Agent created successfully, "
+            f"managing all specialized agents, "
+            f"specialized_agent_count: {len(orchestrator_tools)}"
+        )
+        return orchestrator_agent
+
+    async def _process_query_stream(
+        self, session_id: SessionId, user_id: UserId, query: str, ctx: Context
+    ) -> AsyncGenerator[str]:
+        """
+        Process a user query through the complete authentication and execution pipeline.
+
+        This method orchestrates the entire query processing flow:
+        1. Checks and establishes required user connections
+        2. Retrieves appropriate tools for the user
+        3. Sets up memory persistence if configured
+        4. Creates and runs the agent with the query
+        5. Yields status messages and final response
+
+        Args:
+            session_id: Unique session identifier for memory context
+            user_id: Unique identifier for the user making the query
+            query: User's natural language query to process
+            ctx: The conversation context for logging and session management
+
+        Yields:
+            str: Status messages during processing and final agent response
+
+        Note:
+            This is the main entry point for query processing and handles the
+            complete lifecycle from authentication to response generation.
+        """
+        query_preview = query[:50] + "..." if len(query) > 50 else query
+        has_mem_cfg = self._memory_config is not None
+        ctx.logger.info(
+            f"Starting query processing stream, session_id: {session_id}, "
+            f"user_id: {user_id}, query_length: {len(query)}, "
+            f"has_memory_config: {has_mem_cfg}, query_preview: {query_preview}"
+        )
+
+        try:
+            # Step 1: Check and establish user connections
+            ctx.logger.info(
+                f"Checking user connections, session_id: {session_id}, user_id: {user_id}"
+            )
+            async for conn_msg in self._check_user_connections(user_id, ctx):
+                yield conn_msg
+
+            # Step 2: Retrieve tools for the user
+            ctx.logger.info(
+                f"Retrieving tools for user, session_id: {session_id}, user_id: {user_id}"
+            )
+            tools_by_group = await self._client.get_tools(user_id, ctx)
+
+            tools_summary = ", ".join(
+                [
+                    f"{group}: {len(group_tools)}"
+                    for group, group_tools in tools_by_group.items()
+                ]
+            )
+            ctx.logger.info(
+                f"Tools retrieved successfully, session_id: {session_id}, "
+                f"user_id: {user_id}, tools_by_group: {{{tools_summary}}}"
+            )
+
+            # Step 3: Set up memory and create agent
+            if self._memory_config:
+                ctx.logger.info(
+                    f"Using PostgreSQL memory configuration, "
+                    f"session_id: {session_id}, user_id: {user_id}"
+                )
+
+                # Initialize database pool if not already done
+                if not self._pool:
+                    ctx.logger.info("Initializing database connection pool")
+                    self._pool = await self._memory_config.initialize_db_pool(ctx)
+
+                async with self._pool.connection() as conn:
+                    memory = AsyncPostgresSaver(conn)
+
+                    # Set up memory schema if not already done
+                    if not self._setup_completed:
+                        ctx.logger.info("Setting up memory schema")
+                        await memory.setup()
+                        self._setup_completed = True
+                        ctx.logger.info("Memory schema setup completed")
+
+                    ctx.logger.debug(
+                        f"Creating orchestrator agent with memory, "
+                        f"session_id: {session_id}, user_id: {user_id}"
+                    )
+                    # Create agent with memory
+                    agent = await self._create_orchestrator_agent(
+                        ctx=ctx,
+                        agent_tools_map=tools_by_group,
+                        memory=memory,
+                        model_name=self._model,
+                        max_history_tokens=self._model_context_window,
+                        max_tool_response_tokens=self._tool_response_token_limit,
+                    )
+
+                    # Step 4: Process the query
+                    ctx.logger.info(
+                        f"Processing query with memory-enabled agent, "
+                        f"session_id: {session_id}, user_id: {user_id}"
+                    )
+                    response = await self._run_agent_query(
+                        agent=agent, query=query, session_id=session_id, ctx=ctx
+                    )
+                    yield response
+                    return
+
+            else:
+                ctx.logger.info(
+                    f"Using stateless agent (no memory), "
+                    f"session_id: {session_id}, user_id: {user_id}"
+                )
+
+                ctx.logger.debug(
+                    f"Creating orchestrator agent without memory, "
+                    f"session_id: {session_id}, user_id: {user_id}"
+                )
+                # Create agent without memory
+                agent = await self._create_orchestrator_agent(
+                    ctx=ctx,
+                    agent_tools_map=tools_by_group,
+                    model_name=self._model,
+                    max_history_tokens=self._model_context_window,
+                    max_tool_response_tokens=self._tool_response_token_limit,
+                )
+
+                # Step 4: Process the query
+                ctx.logger.info(
+                    f"Processing query with stateless agent, "
+                    f"session_id: {session_id}, user_id: {user_id}"
+                )
+                response = await self._run_agent_query(
+                    agent=agent, query=query, session_id=session_id, ctx=ctx
+                )
+                yield response
+                return
+
+        except Exception as e:
+            ctx.logger.error(
+                f"Unexpected error in query processing stream, "
+                f"session_id: {session_id}, user_id: {user_id}, "
+                f"query_length: {len(query)}, error: {str(e)}, "
+                f"error_type: {type(e).__name__}",
+                exc_info=True,
+            )
+            yield (
+                "Sorry, an unexpected error occurred while processing your query. "
+                "Please try again later."
+            )
+            return
+
+    @property
+    def protocol(self) -> AgentChatProtocol:
+        """
+        Get the configured chat protocol with message handlers.
+
+        This property returns a uAgent Protocol instance configured with handlers
+        for different types of chat messages. The protocol manages the complete
+        conversation lifecycle including session management, authentication,
+        and query processing.
+
+        Message Types Handled:
+            - ChatAcknowledgement: Confirms message receipt
+            - ChatMessage: Processes user messages and queries
+                - StartSessionContent: Initiates new conversation sessions
+                - TextContent: Processes natural language queries
+                - EndSessionContent: Cleanly terminates sessions
+                - MetadataContent: Handles additional context information
+
+        Returns:
+            Protocol: Configured protocol instance ready for agent integration
+
+        Note:
+            The protocol handlers are set up once and reused across all conversations.
+            Each handler includes comprehensive error handling and structured logging.
+        """
+
+        @self._protocol.on_message(ChatAcknowledgement)
+        async def _handle_ack(
+            ctx: Context, sender: str, msg: ChatAcknowledgement
+        ) -> None:
+            """Handle acknowledgement messages from users."""
+            try:
+                session_id_str = str(ctx.session) if hasattr(ctx, "session") else "None"
+                ctx.logger.info(
+                    f"Chat acknowledgement received, sender: {sender}, "
+                    f"acknowledged_msg_id: {str(msg.acknowledged_msg_id)}, "
+                    f"session_id: {session_id_str}"
+                )
+                ctx.logger.debug(
+                    f"Acknowledgement received from {sender} for message {msg.acknowledged_msg_id}"
+                )
+            except Exception as e:
+                ctx.logger.error(
+                    f"Error handling chat acknowledgement, sender: {sender}, "
+                    f"error: {str(e)}, error_type: {type(e).__name__}",
+                    exc_info=True,
+                )
+
+        @self._protocol.on_message(ChatMessage)
+        async def _handle_message(ctx: Context, sender: str, msg: ChatMessage) -> None:
+            """Handle incoming chat messages and process different content types."""
+            try:
+                session_id_str = str(ctx.session) if hasattr(ctx, "session") else "None"
+                content_types = [type(item).__name__ for item in msg.content]
+                ctx.logger.info(
+                    f"Chat message received, sender: {sender}, "
+                    f"session_id: {session_id_str}, message_id: {str(msg.msg_id)}, "
+                    f"content_types: {content_types}, content_count: {len(msg.content)}"
+                )
+
+                ctx.logger.debug(
+                    f"Message received from {sender} in session: {ctx.session}"
+                )
+
+                # Send acknowledgement
+                try:
+                    await ctx.send(
+                        sender,
+                        ChatAcknowledgement(
+                            timestamp=datetime.now(UTC), acknowledged_msg_id=msg.msg_id
+                        ),
+                    )
+                    ctx.logger.debug(
+                        f"Acknowledgement sent, sender: {sender}, message_id: {str(msg.msg_id)}"
+                    )
+                except Exception as ack_error:
+                    ctx.logger.error(
+                        f"Failed to send acknowledgement, sender: {sender}, "
+                        f"message_id: {str(msg.msg_id)}, error: {str(ack_error)}",
+                        exc_info=True,
+                    )
+
+                # Process message content
+                for i, item in enumerate(msg.content):
+                    try:
+                        session_id_str = (
+                            str(ctx.session) if hasattr(ctx, "session") else "None"
+                        )
+                        ctx.logger.info(
+                            f"Processing message content item, sender: {sender}, "
+                            f"item_index: {i}, item_type: {type(item).__name__}, "
+                            f"session_id: {session_id_str}"
+                        )
+
+                        if isinstance(item, StartSessionContent):
+                            session_id_str = (
+                                str(ctx.session) if hasattr(ctx, "session") else "None"
+                            )
+                            ctx.logger.info(
+                                f"Session started, sender: {sender}, "
+                                f"session_id: {session_id_str}"
+                            )
+                            ctx.logger.debug(
+                                f"Session started with {sender} with session id: {ctx.session}"
+                            )
+
+                        elif isinstance(item, TextContent):
+                            session_id_str = (
+                                str(ctx.session) if hasattr(ctx, "session") else "None"
+                            )
+                            text_preview = (
+                                item.text[:100] + "..."
+                                if len(item.text) > 100
+                                else item.text
+                            )
+                            ctx.logger.info(
+                                f"Processing text query, sender: {sender}, "
+                                f"session_id: {session_id_str}, "
+                                f"text_length: {len(item.text)}, "
+                                f"text_preview: {text_preview}"
+                            )
+                            ctx.logger.debug(f"Text message from {sender}: {item.text}")
+
+                            # Process the query through the agent pipeline
+                            async for response in self._process_query_stream(
+                                session_id=str(ctx.session),
+                                user_id=sender,
+                                query=item.text,
+                                ctx=ctx,
+                            ):
+                                await self._send_chat_message(response, ctx, sender)
+
+                        elif isinstance(item, EndSessionContent):
+                            session_id_str = (
+                                str(ctx.session) if hasattr(ctx, "session") else "None"
+                            )
+                            ctx.logger.info(
+                                f"Session ended, sender: {sender}, "
+                                f"session_id: {session_id_str}"
+                            )
+                            ctx.logger.debug(f"Session ended with {sender}")
+
+                        elif isinstance(item, MetadataContent):
+                            session_id_str = (
+                                str(ctx.session) if hasattr(ctx, "session") else "None"
+                            )
+                            metadata_keys = (
+                                list(item.metadata.keys())
+                                if hasattr(item, "metadata") and item.metadata
+                                else []
+                            )
+                            ctx.logger.info(
+                                f"Metadata received, sender: {sender}, "
+                                f"session_id: {session_id_str}, "
+                                f"metadata_keys: {metadata_keys}"
+                            )
+                            ctx.logger.debug(f"Metadata from {sender}: {item.metadata}")
+
+                        else:
+                            session_id_str = (
+                                str(ctx.session) if hasattr(ctx, "session") else "None"
+                            )
+                            content_repr = (
+                                str(item)[:200] + "..."
+                                if len(str(item)) > 200
+                                else str(item)
+                            )
+                            ctx.logger.warning(
+                                f"Unexpected content type received, sender: {sender}, "
+                                f"session_id: {session_id_str}, "
+                                f"content_type: {type(item).__name__}, "
+                                f"content_repr: {content_repr}"
+                            )
+                            ctx.logger.debug(
+                                "Received unexpected content type from "
+                                f"{sender}: {type(item)} - {item}"
+                            )
+
+                    except Exception as content_error:
+                        error_type = type(content_error).__name__
+                        ctx.logger.error(
+                            f"Error processing message content item, sender: {sender}, "
+                            f"item_index: {i}, item_type: {type(item).__name__}, "
+                            f"error: {str(content_error)}, error_type: {error_type}",
+                            exc_info=True,
+                        )
+                        # Continue processing other content items
+                        continue
+
+            except Exception as e:
+                msg_id = str(msg.msg_id) if hasattr(msg, "msg_id") else "None"
+                ctx.logger.error(
+                    f"Error handling chat message, sender: {sender}, "
+                    f"message_id: {msg_id}, error: {str(e)}, "
+                    f"error_type: {type(e).__name__}",
+                    exc_info=True,
+                )
+                # Send error message to user
+                try:
+                    await self._send_chat_message(
+                        "Sorry, an error occurred while processing your message. Please try again.",
+                        ctx,
+                        sender,
+                    )
+                except Exception as send_error:
+                    ctx.logger.error(
+                        f"Failed to send error message to user, "
+                        f"sender: {sender}, original_error: {str(e)}, "
+                        f"send_error: {str(send_error)}",
+                        exc_info=True,
+                    )
+
+        return self._protocol
+
+    async def health_check(self, ctx: Context | None = None) -> dict[str, Any]:
+        """
+        Perform a comprehensive health check of the service.
+
+        Args:
+            ctx: Optional context object for logging
+
+        Returns:
+            dict: Health status information including component checks
+        """
+        health_status: dict[str, Any] = {
+            "status": "healthy",
+            "timestamp": datetime.now(UTC).isoformat(),
+            "components": {},
+        }
+
+        try:
+            # Check LLM client
+            components = health_status["components"]
+            llm_status = "healthy" if self._llm else "unhealthy"
+            llm_model = getattr(self._llm, "model_name", "unknown")
+            llm_base_url = getattr(self._llm, "base_url", "unknown")
+            components["llm"] = {
+                "status": llm_status,
+                "model": llm_model,
+                "base_url": llm_base_url,
+            }
+            logger.debug(
+                f"LLM client health check, status: {llm_status}, model: {llm_model}"
+            )
+
+            # Check Composio client
+            composio_status = "healthy" if self._client else "unhealthy"
+            auth_configs_count = len(self._composio_config.get_auth_config_ids())
+            tool_configs_count = len(self._composio_config.tool_configs or [])
+            components["composio"] = {
+                "status": composio_status,
+                "auth_configs": auth_configs_count,
+                "tool_configs": tool_configs_count,
+            }
+            logger.debug(
+                f"Composio client health check, status: {composio_status}, "
+                f"auth_configs: {auth_configs_count}, "
+                f"tool_configs: {tool_configs_count}"
+            )
+
+            # Check database connection if configured
+            if self._memory_config:
+                try:
+                    if self._pool:
+                        pool_size = getattr(self._pool, "max_size", "unknown")
+                        components["database"] = {
+                            "status": "healthy",
+                            "pool_size": pool_size,
+                            "setup_completed": self._setup_completed,
+                        }
+                        logger.debug(
+                            f"Database pool health check, status: healthy, "
+                            f"pool_size: {pool_size}, "
+                            f"setup_completed: {self._setup_completed}"
+                        )
+                    else:
+                        components["database"] = {
+                            "status": "not_initialized",
+                            "message": "Database pool not yet initialized",
+                        }
+                        logger.debug(
+                            "Database pool health check, status: not_initialized"
+                        )
+                except Exception as e:
+                    components["database"] = {"status": "unhealthy", "error": str(e)}
+                    logger.warning(f"Database health check failed, error: {str(e)}")
+            else:
+                components["database"] = {
+                    "status": "not_configured",
+                    "message": "Database memory not configured",
+                }
+                logger.debug("Database health check, status: not_configured")
+
+            # Check protocol
+            protocol_status = "healthy" if self._protocol else "unhealthy"
+            components["protocol"] = {"status": protocol_status}
+            logger.debug(f"Protocol health check, status: {protocol_status}")
+
+            # Overall status
+            component_statuses = [comp.get("status") for comp in components.values()]
+            component_statuses = [
+                comp.get("status") for comp in health_status["components"].values()
+            ]
+            if any(status == "unhealthy" for status in component_statuses):
+                health_status["status"] = "unhealthy"
+                logger.info(
+                    f"Overall health status: unhealthy, component_statuses: {component_statuses}"
+                )
+            elif any(
+                status in ["not_initialized", "not_configured"]
+                for status in component_statuses
+            ):
+                health_status["status"] = "degraded"
+                logger.info(
+                    f"Overall health status: degraded, component_statuses: {component_statuses}"
+                )
+            else:
+                logger.info(
+                    f"Overall health status: healthy, component_statuses: {component_statuses}"
+                )
+
+        except Exception as e:
+            if ctx:
+                ctx.logger.error(
+                    f"Health check failed, error: {str(e)}, error_type: {type(e).__name__}",
+                    exc_info=True,
+                )
+            else:
+                logger.error(
+                    f"Health check failed, error: {str(e)}, error_type: {type(e).__name__}",
+                    exc_info=True,
+                )
+            health_status.update({"status": "unhealthy", "error": str(e)})
+
+        return health_status
+
+    async def cleanup(self) -> None:
+        """
+        Clean up resources used by the service.
+
+        Should be called when the service is being shut down to ensure
+        proper resource cleanup and avoid memory leaks.
+        """
+        logger.info("Starting service cleanup")
+
+        try:
+            # Close database connection pool if it exists
+            if self._pool:
+                logger.info("Closing database connection pool")
+                await self._pool.close()
+                self._pool = None
+                logger.info("Database connection pool closed successfully")
+            else:
+                logger.debug("No database connection pool to close")
+
+            # Reset setup flag
+            self._setup_completed = False
+            logger.debug("Reset setup_completed flag to False")
+
+            logger.info("Service cleanup completed successfully")
+
+        except Exception as e:
+            logger.error(
+                f"Error during service cleanup, error: {str(e)}, error_type: {type(e).__name__}",
+                exc_info=True,
+            )
+            raise
+
+    def get_service_info(self) -> dict[str, Any]:
+        """
+        Get information about the service configuration.
+
+        This method returns a dictionary containing non-sensitive information
+        about the service's current configuration and state. Useful for debugging,
+        monitoring, and health checks.
+
+        Returns:
+            dict: Service configuration information including:
+                - service_type: Type identifier for the service
+                - llm_model: Name of the language model being used
+                - auth_configs_count: Number of authentication configurations
+                - tool_configs_count: Number of tool configurations
+                - memory_enabled: Whether PostgreSQL memory is configured
+                - setup_completed: Whether memory schema setup has been completed
+                - pool_initialized: Whether database connection pool is initialized
+
+        Example:
+            ```python
+            service = ComposioService(config)
+            info = service.get_service_info()
+            print(f"Service using {info['llm_model']} with {info['tool_configs_count']} tools")
+            ```
+        """
+        return {
+            "service_type": "ComposioService",
+            "llm_model": getattr(self._llm, "model_name", "unknown"),
+            "auth_configs_count": len(self._composio_config.get_auth_config_ids()),
+            "tool_configs_count": len(self._composio_config.tool_configs or []),
+            "memory_enabled": self._memory_config is not None,
+            "setup_completed": self._setup_completed,
+            "pool_initialized": self._pool is not None,
+        }
+
+    async def __aenter__(self) -> ComposioService:
+        """
+        Async context manager entry.
+
+        Enables the service to be used in an async context manager for
+        automatic resource cleanup. No additional setup is performed on entry
+        as the service is fully initialized in __init__.
+
+        Returns:
+            Self for use in async with statement
+
+        Example:
+            ```python
+            async with ComposioService(config) as service:
+                protocol = service.protocol
+                # Service will be automatically cleaned up on exit
+            ```
+        """
+        return self
+
+    async def __aexit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: Any | None,
+    ) -> None:
+        """
+        Async context manager exit with automatic cleanup.
+
+        This method ensures proper cleanup of resources when exiting the
+        context manager, including closing database connections and
+        releasing any held resources.
+
+        Args:
+            exc_type: Exception type if an exception was raised
+            exc_val: Exception instance if an exception was raised
+            exc_tb: Exception traceback if an exception was raised
+
+        Note:
+            This method does not suppress exceptions. If an exception occurred
+            in the context block, it will be re-raised after cleanup.
+
+        Example:
+            ```python
+            async with ComposioService(config) as service:
+                # Use service
+                pass  # Cleanup happens automatically here
+            ```
+        """
+        await self.cleanup()
+
+    def __repr__(self) -> str:
+        """
+        String representation of the service.
+
+        Returns:
+            Human-readable string describing the service configuration
+
+        Example:
+            ```python
+            service = ComposioService(config)
+            print(service)  # ComposioService(auth_configs=2, tool_configs=3, memory_enabled=True)
+            ```
+        """
+        return (
+            f"ComposioService("
+            f"auth_configs={len(self._composio_config.get_auth_config_ids())}, "
+            f"tool_configs={len(self._composio_config.tool_configs or [])}, "
+            f"memory_enabled={self._memory_config is not None})"
+        )
+
+
+# Public API exports
+__all__ = [
+    # Main classes
+    "ComposioService",
+    "ComposioConfig",
+    "ToolConfig",
+    "Modifiers",
+    "PostgresMemoryConfig",
+    # Exceptions
+    "ComposioError",
+    "AuthenticationError",
+    "ConnectionError",
+    "ConfigurationError",
+    "ToolRetrievalError",
+    # Type aliases for external use
+    "UserId",
+    "AuthConfigId",
+    "ToolSlug",
+    "SessionId",
+    # Modifier function types
+    "SchemaModifier",
+    "BeforeExecute",
+    "AfterExecute",
+    "SchemaModifierParam",
+    "BeforeExecuteParam",
+    "AfterExecuteParam",
+    # helpers
+    "describe_modifier_type",
+]