From 6a6e50a4f4835143e8c4ab8fd54b6bf59719a3b8 Mon Sep 17 00:00:00 2001
From: cthomas <caren@letta.com>
Date: Sat, 1 Mar 2025 14:53:10 -0800
Subject: [PATCH] feat: add args schema for tool object (#1160)

---
 .../54f2311edb62_add_args_schema_to_tools.py  |  31 +
 letta/functions/ast_parsers.py                |  51 +-
 letta/functions/helpers.py                    |  87 +-
 letta/orm/tool.py                             |   2 +-
 letta/schemas/tool.py                         |  18 +-
 letta/server/rest_api/routers/v1/tools.py     |   1 +
 letta/server/server.py                        |   4 +-
 .../services/helpers/tool_execution_helper.py |  18 +
 letta/services/tool_execution_sandbox.py      |  23 +-
 letta/services/tool_manager.py                |   2 +-
 poetry.lock                                   | 973 ++++++++++--------
 pyproject.toml                                |   1 +
 tests/test_tool_schema_parsing.py             |  55 +-
 .../all_python_complex.py                     |  29 +
 .../all_python_complex_nodict.py              |  25 +
 .../list_of_pydantic_example.py               |   7 +
 .../nested_pydantic_as_arg_example.json       |  72 +-
 .../nested_pydantic_as_arg_example.py         |  14 +-
 .../nested_pydantic_as_arg_example_so.json    |  80 +-
 .../pydantic_as_single_arg_example.py         |   7 +
 20 files changed, 1011 insertions(+), 489 deletions(-)
 create mode 100644 alembic/versions/54f2311edb62_add_args_schema_to_tools.py

diff --git a/alembic/versions/54f2311edb62_add_args_schema_to_tools.py b/alembic/versions/54f2311edb62_add_args_schema_to_tools.py
new file mode 100644
index 00000000..1b5f332e
--- /dev/null
+++ b/alembic/versions/54f2311edb62_add_args_schema_to_tools.py
@@ -0,0 +1,31 @@
+"""add args schema to tools
+
+Revision ID: 54f2311edb62
+Revises: b183663c6769
+Create Date: 2025-02-27 16:45:50.835081
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "54f2311edb62"
+down_revision: Union[str, None] = "b183663c6769"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.add_column("tools", sa.Column("args_json_schema", sa.JSON(), nullable=True))
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_column("tools", "args_json_schema")
+    # ### end Alembic commands ###
diff --git a/letta/functions/ast_parsers.py b/letta/functions/ast_parsers.py
index fbe8a06b..acc73bef 100644
--- a/letta/functions/ast_parsers.py
+++ b/letta/functions/ast_parsers.py
@@ -1,6 +1,8 @@
 import ast
 import json
-from typing import Dict
+from typing import Dict, Optional, Tuple
+
+from letta.errors import LettaToolCreateError
 
 # Registry of known types for annotation resolution
 BUILTIN_TYPES = {
@@ -103,3 +105,50 @@ def coerce_dict_args_by_annotations(function_args: dict, annotations: Dict[str,
             except (TypeError, ValueError, json.JSONDecodeError, SyntaxError) as e:
                 raise ValueError(f"Failed to coerce argument '{arg_name}' to {annotation_str}: {e}")
     return coerced_args
+
+
+def get_function_name_and_description(source_code: str, name: Optional[str] = None) -> Tuple[str, str]:
+    """Gets the name and description for a given function source code by parsing the AST.
+
+    Args:
+        source_code: The source code to parse
+        name: Optional override for the function name
+
+    Returns:
+        Tuple of (function_name, docstring)
+    """
+    try:
+        # Parse the source code into an AST
+        tree = ast.parse(source_code)
+
+        # Find the last function definition
+        function_def = None
+        for node in ast.walk(tree):
+            if isinstance(node, ast.FunctionDef):
+                function_def = node
+
+        if not function_def:
+            raise LettaToolCreateError("No function definition found in source code")
+
+        # Get the function name
+        function_name = name if name is not None else function_def.name
+
+        # Get the docstring if it exists
+        docstring = ast.get_docstring(function_def)
+
+        if not function_name:
+            raise LettaToolCreateError("Could not determine function name")
+
+        if not docstring:
+            raise LettaToolCreateError("Docstring is missing")
+
+        return function_name, docstring
+
+    except Exception as e:
+        raise LettaToolCreateError(f"Failed to parse function name and docstring: {str(e)}")
+
+    except Exception as e:
+        import traceback
+
+        traceback.print_exc()
+        raise LettaToolCreateError(f"Name and docstring generation failed: {str(e)}")
diff --git a/letta/functions/helpers.py b/letta/functions/helpers.py
index eb436ddc..524f50f6 100644
--- a/letta/functions/helpers.py
+++ b/letta/functions/helpers.py
@@ -1,11 +1,11 @@
 import asyncio
 import threading
 from random import uniform
-from typing import Any, List, Optional, Union
+from typing import Any, Dict, List, Optional, Type, Union
 
 import humps
 from composio.constants import DEFAULT_ENTITY_ID
-from pydantic import BaseModel
+from pydantic import BaseModel, Field, create_model
 
 from letta.constants import COMPOSIO_ENTITY_ENV_VAR_KEY, DEFAULT_MESSAGE_TOOL, DEFAULT_MESSAGE_TOOL_KWARG
 from letta.functions.interface import MultiAgentMessagingInterface
@@ -561,3 +561,86 @@ async def _send_message_to_agents_matching_all_tags_async(sender_agent: "Agent",
 
     log_telemetry(sender_agent.logger, "_send_message_to_agents_matching_all_tags_async finish", message=message, tags=tags)
     return final
+
+
+def generate_model_from_args_json_schema(schema: Dict[str, Any]) -> Type[BaseModel]:
+    """Creates a Pydantic model from a JSON schema.
+
+    Args:
+        schema: The JSON schema dictionary
+
+    Returns:
+        A Pydantic model class
+    """
+    # First create any nested models from $defs
+    nested_models = {}
+    if "$defs" in schema:
+        for name, model_schema in schema["$defs"].items():
+            # Create field definitions for the nested model
+            fields = {}
+            for field_name, field_schema in model_schema["properties"].items():
+                field_type = _get_field_type(field_schema)
+                required = field_name in model_schema.get("required", [])
+                description = field_schema.get("description", "")  # Get description or empty string
+                fields[field_name] = (field_type, Field(..., description=description) if required else Field(None, description=description))
+
+            # Create the nested model
+            nested_models[name] = create_model(name, **fields)
+
+    # Create the main model fields
+    fields = {}
+    for field_name, field_schema in schema["properties"].items():
+        field_type = _get_field_type(field_schema, nested_models)
+        required = field_name in schema.get("required", [])
+        description = field_schema.get("description", "")  # Get description or empty string
+        fields[field_name] = (field_type, Field(..., description=description) if required else Field(None, description=description))
+
+    # Create and return the main model
+    return create_model(schema.get("title", "DynamicModel"), **fields)
+
+
+def _get_field_type(field_schema: Dict[str, Any], nested_models: Dict[str, Type[BaseModel]] = None) -> Any:
+    """Helper to convert JSON schema types to Python types."""
+    if field_schema.get("type") == "string":
+        return str
+    elif field_schema.get("type") == "integer":
+        return int
+    elif field_schema.get("type") == "number":
+        return float
+    elif field_schema.get("type") == "boolean":
+        return bool
+    elif field_schema.get("type") == "array":
+        item_type = field_schema["items"].get("$ref", "").split("/")[-1]
+        if item_type and nested_models and item_type in nested_models:
+            return List[nested_models[item_type]]
+        return List[_get_field_type(field_schema["items"])]
+    elif field_schema.get("type") == "object":
+        if "$ref" in field_schema:
+            ref_type = field_schema["$ref"].split("/")[-1]
+            if nested_models and ref_type in nested_models:
+                return nested_models[ref_type]
+        elif "additionalProperties" in field_schema:
+            value_type = _get_field_type(field_schema["additionalProperties"], nested_models)
+            return Dict[str, value_type]
+        return dict
+    elif field_schema.get("$ref") is not None:
+        ref_type = field_schema["$ref"].split("/")[-1]
+        if nested_models and ref_type in nested_models:
+            return nested_models[ref_type]
+        else:
+            raise ValueError(f"Reference {ref_type} not found in nested models")
+    elif field_schema.get("anyOf") is not None:
+        types = []
+        has_null = False
+        for type_option in field_schema["anyOf"]:
+            if type_option.get("type") == "null":
+                has_null = True
+            else:
+                types.append(_get_field_type(type_option, nested_models))
+        # If we have exactly one type and null, make it Optional
+        if has_null and len(types) == 1:
+            return Optional[types[0]]
+        # Otherwise make it a Union of all types
+        else:
+            return Union[tuple(types)]
+    raise ValueError(f"Unable to convert pydantic field schema to type: {field_schema}")
diff --git a/letta/orm/tool.py b/letta/orm/tool.py
index bb47566b..c43a0a88 100644
--- a/letta/orm/tool.py
+++ b/letta/orm/tool.py
@@ -43,6 +43,6 @@ class Tool(SqlalchemyBase, OrganizationMixin):
     source_type: Mapped[ToolSourceType] = mapped_column(String, doc="The type of the source code.", default=ToolSourceType.json)
     source_code: Mapped[Optional[str]] = mapped_column(String, doc="The source code of the function.")
     json_schema: Mapped[Optional[dict]] = mapped_column(JSON, default=lambda: {}, doc="The OAI compatable JSON schema of the function.")
-
+    args_json_schema: Mapped[Optional[dict]] = mapped_column(JSON, default=lambda: {}, doc="The JSON schema of the function arguments.")
     # relationships
     organization: Mapped["Organization"] = relationship("Organization", back_populates="tools", lazy="selectin")
diff --git a/letta/schemas/tool.py b/letta/schemas/tool.py
index 209664b0..14b6dba8 100644
--- a/letta/schemas/tool.py
+++ b/letta/schemas/tool.py
@@ -8,8 +8,9 @@ from letta.constants import (
     LETTA_CORE_TOOL_MODULE_NAME,
     LETTA_MULTI_AGENT_TOOL_MODULE_NAME,
 )
+from letta.functions.ast_parsers import get_function_name_and_description
 from letta.functions.functions import derive_openai_json_schema, get_json_schema_from_module
-from letta.functions.helpers import generate_composio_tool_wrapper, generate_langchain_tool_wrapper
+from letta.functions.helpers import generate_composio_tool_wrapper, generate_langchain_tool_wrapper, generate_model_from_args_json_schema
 from letta.functions.schema_generator import generate_schema_from_args_schema_v2, generate_tool_schema_for_composio
 from letta.log import get_logger
 from letta.orm.enums import ToolType
@@ -46,6 +47,7 @@ class Tool(BaseTool):
     # code
     source_code: Optional[str] = Field(None, description="The source code of the function.")
     json_schema: Optional[Dict] = Field(None, description="The JSON schema of the function.")
+    args_json_schema: Optional[Dict] = Field(None, description="The args JSON schema of the function.")
 
     # tool configuration
     return_char_limit: int = Field(FUNCTION_RETURN_CHAR_LIMIT, description="The maximum number of characters in the response.")
@@ -70,7 +72,16 @@ class Tool(BaseTool):
             # TODO: Instead of checking the tag, we should having `COMPOSIO` as a specific ToolType
             # TODO: We skip this for Composio bc composio json schemas are derived differently
             if not (COMPOSIO_TOOL_TAG_NAME in self.tags):
-                self.json_schema = derive_openai_json_schema(source_code=self.source_code)
+                if self.args_json_schema is not None:
+                    name, description = get_function_name_and_description(self.source_code, self.name)
+                    args_schema = generate_model_from_args_json_schema(self.args_json_schema)
+                    self.json_schema = generate_schema_from_args_schema_v2(
+                        args_schema=args_schema,
+                        name=name,
+                        description=description,
+                    )
+                else:
+                    self.json_schema = derive_openai_json_schema(source_code=self.source_code)
         elif self.tool_type in {ToolType.LETTA_CORE, ToolType.LETTA_MEMORY_CORE}:
             # If it's letta core tool, we generate the json_schema on the fly here
             self.json_schema = get_json_schema_from_module(module_name=LETTA_CORE_TOOL_MODULE_NAME, function_name=self.name)
@@ -107,6 +118,7 @@ class ToolCreate(LettaBase):
     json_schema: Optional[Dict] = Field(
         None, description="The JSON schema of the function (auto-generated from source_code if not provided)"
     )
+    args_json_schema: Optional[Dict] = Field(None, description="The args JSON schema of the function.")
     return_char_limit: int = Field(FUNCTION_RETURN_CHAR_LIMIT, description="The maximum number of characters in the response.")
 
     @classmethod
@@ -189,6 +201,7 @@ class ToolUpdate(LettaBase):
     json_schema: Optional[Dict] = Field(
         None, description="The JSON schema of the function (auto-generated from source_code if not provided)"
     )
+    args_json_schema: Optional[Dict] = Field(None, description="The args JSON schema of the function.")
     return_char_limit: Optional[int] = Field(None, description="The maximum number of characters in the response.")
 
     class Config:
@@ -202,3 +215,4 @@ class ToolRunFromSource(LettaBase):
     env_vars: Dict[str, str] = Field(None, description="The environment variables to pass to the tool.")
     name: Optional[str] = Field(None, description="The name of the tool to run.")
     source_type: Optional[str] = Field(None, description="The type of the source code.")
+    args_json_schema: Optional[Dict] = Field(None, description="The args JSON schema of the function.")
diff --git a/letta/server/rest_api/routers/v1/tools.py b/letta/server/rest_api/routers/v1/tools.py
index f198592b..5a5de213 100644
--- a/letta/server/rest_api/routers/v1/tools.py
+++ b/letta/server/rest_api/routers/v1/tools.py
@@ -190,6 +190,7 @@ def run_tool_from_source(
             tool_args=request.args,
             tool_env_vars=request.env_vars,
             tool_name=request.name,
+            tool_args_json_schema=request.args_json_schema,
             actor=actor,
         )
     except LettaToolCreateError as e:
diff --git a/letta/server/server.py b/letta/server/server.py
index 3131832b..796af566 100644
--- a/letta/server/server.py
+++ b/letta/server/server.py
@@ -6,7 +6,7 @@ import traceback
 import warnings
 from abc import abstractmethod
 from datetime import datetime
-from typing import Callable, Dict, List, Optional, Tuple, Union
+from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
 from composio.client import Composio
 from composio.client.collections import ActionModel, AppModel
@@ -1104,6 +1104,7 @@ class SyncServer(Server):
         tool_env_vars: Optional[Dict[str, str]] = None,
         tool_source_type: Optional[str] = None,
         tool_name: Optional[str] = None,
+        tool_args_json_schema: Optional[Dict[str, Any]] = None,
     ) -> ToolReturnMessage:
         """Run a tool from source code"""
         if tool_source_type is not None and tool_source_type != "python":
@@ -1113,6 +1114,7 @@ class SyncServer(Server):
         tool = Tool(
             name=tool_name,
             source_code=tool_source,
+            args_json_schema=tool_args_json_schema,
         )
         assert tool.name is not None, "Failed to create tool object"
 
diff --git a/letta/services/helpers/tool_execution_helper.py b/letta/services/helpers/tool_execution_helper.py
index 1fd132d8..ac86f480 100644
--- a/letta/services/helpers/tool_execution_helper.py
+++ b/letta/services/helpers/tool_execution_helper.py
@@ -4,6 +4,10 @@ import subprocess
 import venv
 from typing import Dict, Optional
 
+from datamodel_code_generator import DataModelType, PythonVersion
+from datamodel_code_generator.model import get_data_model_types
+from datamodel_code_generator.parser.jsonschema import JsonSchemaParser
+
 from letta.log import get_logger
 from letta.schemas.sandbox_config import LocalSandboxConfig
 
@@ -153,3 +157,17 @@ def create_venv_for_local_sandbox(sandbox_dir_path: str, venv_path: str, env: Di
     except subprocess.CalledProcessError as e:
         logger.error(f"Error while setting up the virtual environment: {e}")
         raise RuntimeError(f"Failed to set up the virtual environment: {e}")
+
+
+def add_imports_and_pydantic_schemas_for_args(args_json_schema: dict) -> str:
+    data_model_types = get_data_model_types(DataModelType.PydanticV2BaseModel, target_python_version=PythonVersion.PY_311)
+    parser = JsonSchemaParser(
+        str(args_json_schema),
+        data_model_type=data_model_types.data_model,
+        data_model_root_type=data_model_types.root_model,
+        data_model_field_type=data_model_types.field_model,
+        data_type_manager_type=data_model_types.data_type_manager,
+        dump_resolve_reference_action=data_model_types.dump_resolve_reference_action,
+    )
+    result = parser.parse()
+    return result
diff --git a/letta/services/tool_execution_sandbox.py b/letta/services/tool_execution_sandbox.py
index 2dfc55a9..1dc8d309 100644
--- a/letta/services/tool_execution_sandbox.py
+++ b/letta/services/tool_execution_sandbox.py
@@ -11,12 +11,14 @@ import traceback
 import uuid
 from typing import Any, Dict, Optional
 
+from letta.functions.helpers import generate_model_from_args_json_schema
 from letta.log import get_logger
 from letta.schemas.agent import AgentState
 from letta.schemas.sandbox_config import SandboxConfig, SandboxRunResult, SandboxType
 from letta.schemas.tool import Tool
 from letta.schemas.user import User
 from letta.services.helpers.tool_execution_helper import (
+    add_imports_and_pydantic_schemas_for_args,
     create_venv_for_local_sandbox,
     find_python_executable,
     install_pip_requirements_for_sandbox,
@@ -408,20 +410,35 @@ class ToolExecutionSandbox:
         code += "import sys\n"
         code += "import base64\n"
 
-        # Load the agent state data into the program
+        # imports to support agent state
         if agent_state:
             code += "import letta\n"
             code += "from letta import * \n"
             import pickle
 
+        if self.tool.args_json_schema:
+            schema_code = add_imports_and_pydantic_schemas_for_args(self.tool.args_json_schema)
+            if "from __future__ import annotations" in schema_code:
+                schema_code = schema_code.replace("from __future__ import annotations", "").lstrip()
+                code = "from __future__ import annotations\n\n" + code
+            code += schema_code + "\n"
+
+        # load the agent state
+        if agent_state:
             agent_state_pickle = pickle.dumps(agent_state)
             code += f"agent_state = pickle.loads({agent_state_pickle})\n"
         else:
             # agent state is None
             code += "agent_state = None\n"
 
-        for param in self.args:
-            code += self.initialize_param(param, self.args[param])
+        if self.tool.args_json_schema:
+            args_schema = generate_model_from_args_json_schema(self.tool.args_json_schema)
+            code += f"args_object = {args_schema.__name__}(**{self.args})\n"
+            for param in self.args:
+                code += f"{param} = args_object.{param}\n"
+        else:
+            for param in self.args:
+                code += self.initialize_param(param, self.args[param])
 
         if "agent_state" in self.parse_function_arguments(self.tool.source_code, self.tool.name):
             inject_agent_state = True
diff --git a/letta/services/tool_manager.py b/letta/services/tool_manager.py
index aa85e17b..7a726424 100644
--- a/letta/services/tool_manager.py
+++ b/letta/services/tool_manager.py
@@ -42,7 +42,7 @@ class ToolManager:
         tool = self.get_tool_by_name(tool_name=pydantic_tool.name, actor=actor)
         if tool:
             # Put to dict and remove fields that should not be reset
-            update_data = pydantic_tool.model_dump(to_orm=True, exclude_unset=True, exclude_none=True)
+            update_data = pydantic_tool.model_dump(exclude_unset=True, exclude_none=True)
 
             # If there's anything to update
             if update_data:
diff --git a/poetry.lock b/poetry.lock
index fc13e59e..4c806934 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -13,92 +13,92 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.11.12"
+version = "3.11.13"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "aiohttp-3.11.12-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:aa8a8caca81c0a3e765f19c6953416c58e2f4cc1b84829af01dd1c771bb2f91f"},
-    {file = "aiohttp-3.11.12-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:84ede78acde96ca57f6cf8ccb8a13fbaf569f6011b9a52f870c662d4dc8cd854"},
-    {file = "aiohttp-3.11.12-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:584096938a001378484aa4ee54e05dc79c7b9dd933e271c744a97b3b6f644957"},
-    {file = "aiohttp-3.11.12-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:392432a2dde22b86f70dd4a0e9671a349446c93965f261dbaecfaf28813e5c42"},
-    {file = "aiohttp-3.11.12-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:88d385b8e7f3a870146bf5ea31786ef7463e99eb59e31db56e2315535d811f55"},
-    {file = "aiohttp-3.11.12-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b10a47e5390c4b30a0d58ee12581003be52eedd506862ab7f97da7a66805befb"},
-    {file = "aiohttp-3.11.12-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b5263dcede17b6b0c41ef0c3ccce847d82a7da98709e75cf7efde3e9e3b5cae"},
-    {file = "aiohttp-3.11.12-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:50c5c7b8aa5443304c55c262c5693b108c35a3b61ef961f1e782dd52a2f559c7"},
-    {file = "aiohttp-3.11.12-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d1c031a7572f62f66f1257db37ddab4cb98bfaf9b9434a3b4840bf3560f5e788"},
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 ]
 
 [package.dependencies]
@@ -215,6 +215,20 @@ files = [
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 ]
 
+[[package]]
+name = "argcomplete"
+version = "3.5.3"
+description = "Bash tab completion for argparse"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
+test = ["coverage", "mypy", "pexpect", "ruff", "wheel"]
+
 [[package]]
 name = "asn1crypto"
 version = "1.5.1"
@@ -288,36 +302,62 @@ tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "bcrypt"
-version = "4.2.1"
+version = "4.3.0"
 description = "Modern password hashing for your software and your servers"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 ]
 
 [package.extras]
@@ -407,17 +447,17 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.36.24"
+version = "1.37.3"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.36.24-py3-none-any.whl", hash = "sha256:c9055fe6a33f79c43053c06db432092cfcf88f4b4181950f5ca8f2f0cb6abb87"},
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+    {file = "boto3-1.37.3-py3-none-any.whl", hash = "sha256:2063b40af99fd02f6228ff52397b552ff3353831edaf8d25cc04801827ab9794"},
+    {file = "boto3-1.37.3.tar.gz", hash = "sha256:21f3ce0ef111297e63a6eb998a25197b8c10982970c320d4c6e8db08be2157be"},
 ]
 
 [package.dependencies]
-botocore = ">=1.36.24,<1.37.0"
+botocore = ">=1.37.3,<1.38.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.11.0,<0.12.0"
 
@@ -426,13 +466,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.36.24"
+version = "1.37.3"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "botocore-1.37.3.tar.gz", hash = "sha256:fe8403eb55a88faf9b0f9da6615e5bee7be056d75e17af66c3c8f0a3b0648da4"},
 ]
 
 [package.dependencies]
@@ -579,13 +619,13 @@ files = [
 
 [[package]]
 name = "cachetools"
-version = "5.5.1"
+version = "5.5.2"
 description = "Extensible memoizing collections and decorators"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "cachetools-5.5.1-py3-none-any.whl", hash = "sha256:b76651fdc3b24ead3c648bbdeeb940c1b04d365b38b4af66788f9ec4a81d42bb"},
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+    {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"},
 ]
 
 [[package]]
@@ -834,13 +874,13 @@ test = ["pytest"]
 
 [[package]]
 name = "composio-core"
-version = "0.7.2"
+version = "0.7.4"
 description = "Core package to act as a bridge between composio platform and other services."
 optional = false
 python-versions = "<4,>=3.9"
 files = [
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-    {file = "composio_core-0.7.2.tar.gz", hash = "sha256:0775661b11ff6cb0ed946c2695046009e6ac0e14678adb1a665c00538bb03ad3"},
+    {file = "composio_core-0.7.4-py3-none-any.whl", hash = "sha256:fcd0e50b2aff5b932491d532cc63d28d3b1018aeb633ae8ea96002ba75b307e7"},
+    {file = "composio_core-0.7.4.tar.gz", hash = "sha256:e09f80a9dfcbd187d73174bd5fb83e25a5935347149e63d62294f0646b931bc2"},
 ]
 
 [package.dependencies]
@@ -871,13 +911,13 @@ tools = ["diskcache", "flake8", "networkx", "pathspec", "pygments", "ruff", "tra
 
 [[package]]
 name = "composio-langchain"
-version = "0.7.2"
+version = "0.7.4"
 description = "Use Composio to get an array of tools with your LangChain agent."
 optional = false
 python-versions = "<4,>=3.9"
 files = [
-    {file = "composio_langchain-0.7.2-py3-none-any.whl", hash = "sha256:b25341f41df533834c914fe4bd8ee623f5b439d8eff96f992a24976e8b2bf60f"},
-    {file = "composio_langchain-0.7.2.tar.gz", hash = "sha256:5088283a4a9295634e6272dafd8e478338c942bad305689bef9265bdf3685b48"},
+    {file = "composio_langchain-0.7.4-py3-none-any.whl", hash = "sha256:21a730214b33e63714991a0c4e14d58218fd164e3bee1e8a0ff974f5859d6e41"},
+    {file = "composio_langchain-0.7.4.tar.gz", hash = "sha256:801ec3ae8c73bca75087d2524cdd24dde7a8cc7729b251bee8ca021b08f1b323"},
 ]
 
 [package.dependencies]
@@ -970,6 +1010,40 @@ files = [
 marshmallow = ">=3.18.0,<4.0.0"
 typing-inspect = ">=0.4.0,<1"
 
+[[package]]
+name = "datamodel-code-generator"
+version = "0.25.9"
+description = "Datamodel Code Generator"
+optional = false
+python-versions = "<4.0,>=3.7"
+files = [
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+    {file = "datamodel_code_generator-0.25.9.tar.gz", hash = "sha256:65ca9807d8edbd88a7f7931c10f4bc1c08bd9bbc5bb0508418a2b6a16590eb65"},
+]
+
+[package.dependencies]
+argcomplete = ">=1.10,<4.0"
+black = ">=19.10b0"
+genson = ">=1.2.1,<2.0"
+httpx = {version = "*", optional = true, markers = "extra == \"http\""}
+inflect = ">=4.1.0,<6.0"
+isort = ">=4.3.21,<6.0"
+jinja2 = ">=2.10.1,<4.0"
+packaging = "*"
+pydantic = [
+    {version = ">=1.9.0,<2.4.0 || >2.4.0,<3.0", extras = ["email"], markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.10.0,<2.4.0 || >2.4.0,<3.0", extras = ["email"], markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
+    {version = ">=1.10.0,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.4.0 || >2.4.0,<3.0", extras = ["email"], markers = "python_version >= \"3.12\" and python_version < \"4.0\""},
+]
+pyyaml = ">=6.0.1"
+toml = {version = ">=0.10.0,<1.0.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+debug = ["PySnooper (>=0.4.1,<2.0.0)"]
+graphql = ["graphql-core (>=3.2.3,<4.0.0)"]
+http = ["httpx"]
+validation = ["openapi-spec-validator (>=0.2.8,<0.7.0)", "prance (>=0.18.2)"]
+
 [[package]]
 name = "datasets"
 version = "2.21.0"
@@ -1051,13 +1125,13 @@ files = [
 
 [[package]]
 name = "decorator"
-version = "5.1.1"
+version = "5.2.1"
 description = "Decorators for Humans"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 files = [
-    {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
-    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
+    {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"},
+    {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"},
 ]
 
 [[package]]
@@ -1135,6 +1209,26 @@ files = [
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 ]
 
+[[package]]
+name = "dnspython"
+version = "2.7.0"
+description = "DNS toolkit"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "dnspython-2.7.0-py3-none-any.whl", hash = "sha256:b4c34b7d10b51bcc3a5071e7b8dee77939f1e878477eeecc965e9835f63c6c86"},
+    {file = "dnspython-2.7.0.tar.gz", hash = "sha256:ce9c432eda0dc91cf618a5cedf1a4e142651196bbcd2c80e89ed5a907e5cfaf1"},
+]
+
+[package.extras]
+dev = ["black (>=23.1.0)", "coverage (>=7.0)", "flake8 (>=7)", "hypercorn (>=0.16.0)", "mypy (>=1.8)", "pylint (>=3)", "pytest (>=7.4)", "pytest-cov (>=4.1.0)", "quart-trio (>=0.11.0)", "sphinx (>=7.2.0)", "sphinx-rtd-theme (>=2.0.0)", "twine (>=4.0.0)", "wheel (>=0.42.0)"]
+dnssec = ["cryptography (>=43)"]
+doh = ["h2 (>=4.1.0)", "httpcore (>=1.0.0)", "httpx (>=0.26.0)"]
+doq = ["aioquic (>=1.0.0)"]
+idna = ["idna (>=3.7)"]
+trio = ["trio (>=0.23)"]
+wmi = ["wmi (>=1.5.1)"]
+
 [[package]]
 name = "docker"
 version = "7.1.0"
@@ -1214,6 +1308,21 @@ attrs = ">=21.3.0"
 e2b = ">=1.0.4,<2.0.0"
 httpx = ">=0.20.0,<1.0.0"
 
+[[package]]
+name = "email-validator"
+version = "2.2.0"
+description = "A robust email address syntax and deliverability validation library."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "email_validator-2.2.0-py3-none-any.whl", hash = "sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631"},
+    {file = "email_validator-2.2.0.tar.gz", hash = "sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7"},
+]
+
+[package.dependencies]
+dnspython = ">=2.0.0"
+idna = ">=2.0.0"
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
@@ -1258,18 +1367,18 @@ tzdata = "*"
 
 [[package]]
 name = "fastapi"
-version = "0.115.8"
+version = "0.115.10"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.115.8-py3-none-any.whl", hash = "sha256:753a96dd7e036b34eeef8babdfcfe3f28ff79648f86551eb36bfc1b0bf4a8cbf"},
-    {file = "fastapi-0.115.8.tar.gz", hash = "sha256:0ce9111231720190473e222cdf0f07f7206ad7e53ea02beb1d2dc36e2f0741e9"},
+    {file = "fastapi-0.115.10-py3-none-any.whl", hash = "sha256:47346c5437e933e68909a835cf63890a9bd52fb6091b2499b996c08a01ca43a5"},
+    {file = "fastapi-0.115.10.tar.gz", hash = "sha256:920cdc95c1c6ca073656deae80ad254512d131031c2d7759c87ae469572911ee"},
 ]
 
 [package.dependencies]
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.40.0,<0.46.0"
+starlette = ">=0.40.0,<0.47.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
@@ -1327,17 +1436,18 @@ dotenv = ["python-dotenv"]
 
 [[package]]
 name = "flask-cors"
-version = "5.0.0"
-description = "A Flask extension adding a decorator for CORS support"
+version = "5.0.1"
+description = "A Flask extension simplifying CORS support"
 optional = true
-python-versions = "*"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "Flask_Cors-5.0.0-py2.py3-none-any.whl", hash = "sha256:b9e307d082a9261c100d8fb0ba909eec6a228ed1b60a8315fd85f783d61910bc"},
-    {file = "flask_cors-5.0.0.tar.gz", hash = "sha256:5aadb4b950c4e93745034594d9f3ea6591f734bb3662e16e255ffbf5e89c88ef"},
+    {file = "flask_cors-5.0.1-py3-none-any.whl", hash = "sha256:fa5cb364ead54bbf401a26dbf03030c6b18fb2fcaf70408096a572b409586b0c"},
+    {file = "flask_cors-5.0.1.tar.gz", hash = "sha256:6ccb38d16d6b72bbc156c1c3f192bc435bfcc3c2bc864b2df1eb9b2d97b2403c"},
 ]
 
 [package.dependencies]
-Flask = ">=0.9"
+flask = ">=0.9"
+Werkzeug = ">=0.7"
 
 [[package]]
 name = "flask-login"
@@ -1497,6 +1607,17 @@ test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,
 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"]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "genson"
+version = "1.3.0"
+description = "GenSON is a powerful, user-friendly JSON Schema generator."
+optional = false
+python-versions = "*"
+files = [
+    {file = "genson-1.3.0-py3-none-any.whl", hash = "sha256:468feccd00274cc7e4c09e84b08704270ba8d95232aa280f65b986139cec67f7"},
+    {file = "genson-1.3.0.tar.gz", hash = "sha256:e02db9ac2e3fd29e65b5286f7135762e2cd8a986537c075b06fc5f1517308e37"},
+]
+
 [[package]]
 name = "gevent"
 version = "24.11.1"
@@ -1681,16 +1802,18 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-genai"
-version = "1.2.0"
+version = "1.3.0"
 description = "GenAI Python SDK"
 optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "google_genai-1.2.0-py3-none-any.whl", hash = "sha256:609d61bee73f1a6ae5b47e9c7dd4b469d50318f050c5ceacf835b0f80f79d2d9"},
+    {file = "google_genai-1.3.0-py3-none-any.whl", hash = "sha256:daa8934addb701ff5863d80f5eed278b33cac5dcb41e8eba9363fce8827c308b"},
+    {file = "google_genai-1.3.0.tar.gz", hash = "sha256:7b365a767474becc899bb2f1a38bcdc4967f20645cbf9b7781bd38ad1a59c25b"},
 ]
 
 [package.dependencies]
 google-auth = ">=2.14.1,<3.0.0dev"
+httpx = ">=0.28.1,<1.0.0dev"
 pydantic = ">=2.0.0,<3.0.0dev"
 requests = ">=2.28.1,<3.0.0dev"
 typing-extensions = ">=4.11.0,<5.0.0dev"
@@ -1698,13 +1821,13 @@ websockets = ">=13.0,<15.0dev"
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.67.0"
+version = "1.68.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "googleapis_common_protos-1.67.0-py2.py3-none-any.whl", hash = "sha256:579de760800d13616f51cf8be00c876f00a9f146d3e6510e19d1f4111758b741"},
-    {file = "googleapis_common_protos-1.67.0.tar.gz", hash = "sha256:21398025365f138be356d5923e9168737d94d46a72aefee4a6110a1f23463c86"},
+    {file = "googleapis_common_protos-1.68.0-py2.py3-none-any.whl", hash = "sha256:aaf179b2f81df26dfadac95def3b16a95064c76a5f45f07e4c68a21bb371c4ac"},
+    {file = "googleapis_common_protos-1.68.0.tar.gz", hash = "sha256:95d38161f4f9af0d9423eed8fb7b64ffd2568c3464eb542ff02c5bfa1953ab3c"},
 ]
 
 [package.dependencies]
@@ -2042,13 +2165,13 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.29.0"
+version = "0.29.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = true
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.29.0-py3-none-any.whl", hash = "sha256:c02daa0b6bafbdacb1320fdfd1dc7151d0940825c88c4ef89837fdb1f6ea0afe"},
-    {file = "huggingface_hub-0.29.0.tar.gz", hash = "sha256:64034c852be270cac16c5743fe1f659b14515a9de6342d6f42cbb2ede191fc80"},
+    {file = "huggingface_hub-0.29.1-py3-none-any.whl", hash = "sha256:352f69caf16566c7b6de84b54a822f6238e17ddd8ae3da4f8f2272aea5b198d5"},
+    {file = "huggingface_hub-0.29.1.tar.gz", hash = "sha256:9524eae42077b8ff4fc459ceb7a514eca1c1232b775276b009709fe2a084f250"},
 ]
 
 [package.dependencies]
@@ -2087,13 +2210,13 @@ files = [
 
 [[package]]
 name = "identify"
-version = "2.6.7"
+version = "2.6.8"
 description = "File identification library for Python"
 optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "identify-2.6.7-py2.py3-none-any.whl", hash = "sha256:155931cb617a401807b09ecec6635d6c692d180090a1cedca8ef7d58ba5b6aa0"},
-    {file = "identify-2.6.7.tar.gz", hash = "sha256:3fa266b42eba321ee0b2bb0936a6a6b9e36a1351cbb69055b3082f4193035684"},
+    {file = "identify-2.6.8-py2.py3-none-any.whl", hash = "sha256:83657f0f766a3c8d0eaea16d4ef42494b39b34629a4b3192a9d020d349b3e255"},
+    {file = "identify-2.6.8.tar.gz", hash = "sha256:61491417ea2c0c5c670484fd8abbb34de34cdae1e5f39a73ee65e48e4bb663fc"},
 ]
 
 [package.extras]
@@ -2136,6 +2259,21 @@ perf = ["ipython"]
 test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
+[[package]]
+name = "inflect"
+version = "5.6.2"
+description = "Correctly generate plurals, singular nouns, ordinals, indefinite articles; convert numbers to words"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "inflect-5.6.2-py3-none-any.whl", hash = "sha256:b45d91a4a28a4e617ff1821117439b06eaa86e2a4573154af0149e9be6687238"},
+    {file = "inflect-5.6.2.tar.gz", hash = "sha256:aadc7ed73928f5e014129794bbac03058cca35d0a973a5fc4eb45c7fa26005f9"},
+]
+
+[package.extras]
+docs = ["jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx"]
+testing = ["pygments", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+
 [[package]]
 name = "inflection"
 version = "0.5.1"
@@ -2209,13 +2347,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio
 
 [[package]]
 name = "ipython"
-version = "8.32.0"
+version = "8.33.0"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "ipython-8.32.0-py3-none-any.whl", hash = "sha256:cae85b0c61eff1fc48b0a8002de5958b6528fa9c8defb1894da63f42613708aa"},
-    {file = "ipython-8.32.0.tar.gz", hash = "sha256:be2c91895b0b9ea7ba49d33b23e2040c352b33eb6a519cca7ce6e0c743444251"},
+    {file = "ipython-8.33.0-py3-none-any.whl", hash = "sha256:aa5b301dfe1eaf0167ff3238a6825f810a029c9dad9d3f1597f30bd5ff65cc44"},
+    {file = "ipython-8.33.0.tar.gz", hash = "sha256:4c3e36a6dfa9e8e3702bd46f3df668624c975a22ff340e96ea7277afbd76217d"},
 ]
 
 [package.dependencies]
@@ -2249,7 +2387,7 @@ test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "num
 name = "isort"
 version = "5.13.2"
 description = "A Python utility / library to sort Python imports."
-optional = true
+optional = false
 python-versions = ">=3.8.0"
 files = [
     {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
@@ -2600,13 +2738,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.37"
+version = "0.3.40"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_core-0.3.37-py3-none-any.whl", hash = "sha256:8202fd6506ce139a3a1b1c4c3006216b1c7fffa40bdd1779f7d2c67f75eb5f79"},
-    {file = "langchain_core-0.3.37.tar.gz", hash = "sha256:cda8786e616caa2f68f7cc9e811b9b50e3b63fb2094333318b348e5961a7ea01"},
+    {file = "langchain_core-0.3.40-py3-none-any.whl", hash = "sha256:9f31358741f10a13db8531e8288b8a5ae91904018c5c2e6f739d6645a98fca03"},
+    {file = "langchain_core-0.3.40.tar.gz", hash = "sha256:893a238b38491967c804662c1ec7c3e6ebaf223d1125331249c3cf3862ff2746"},
 ]
 
 [package.dependencies]
@@ -2623,17 +2761,17 @@ typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.3.6"
+version = "0.3.7"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_openai-0.3.6-py3-none-any.whl", hash = "sha256:05f0869f6cc963e2ec9e2e54ea1038d9c2af784c67f0e217040dfc918b31649a"},
-    {file = "langchain_openai-0.3.6.tar.gz", hash = "sha256:7daf92e1cd98865ab5213ec5bec2cbd6c28f011e250714978b3a99c7e4fc88ce"},
+    {file = "langchain_openai-0.3.7-py3-none-any.whl", hash = "sha256:0aefc7bdf8e7398d41e09c4313cace816df6438f2aa93d34f79523487310f0da"},
+    {file = "langchain_openai-0.3.7.tar.gz", hash = "sha256:b8b51a3aaa1cc3bda060651ea41145f7728219e8a7150b5404fb1e8446de9cef"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.35,<1.0.0"
+langchain-core = ">=0.3.39,<1.0.0"
 openai = ">=1.58.1,<2.0.0"
 tiktoken = ">=0.7,<1"
 
@@ -2669,18 +2807,19 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
 
 [[package]]
 name = "langsmith"
-version = "0.3.8"
+version = "0.3.11"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langsmith-0.3.8-py3-none-any.whl", hash = "sha256:fbb9dd97b0f090219447fca9362698d07abaeda1da85aa7cc6ec6517b36581b1"},
-    {file = "langsmith-0.3.8.tar.gz", hash = "sha256:97f9bebe0b7cb0a4f278e6ff30ae7d5ededff3883b014442ec6d7d575b02a0f1"},
+    {file = "langsmith-0.3.11-py3-none-any.whl", hash = "sha256:0cca22737ef07d3b038a437c141deda37e00add56022582680188b681bec095e"},
+    {file = "langsmith-0.3.11.tar.gz", hash = "sha256:ddf29d24352e99de79c9618aaf95679214324e146c5d3d9475a7ddd2870018b1"},
 ]
 
 [package.dependencies]
 httpx = ">=0.23.0,<1"
 orjson = {version = ">=3.9.14,<4.0.0", markers = "platform_python_implementation != \"PyPy\""}
+packaging = ">=23.2"
 pydantic = [
     {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
     {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
@@ -2695,13 +2834,13 @@ pytest = ["pytest (>=7.0.0)", "rich (>=13.9.4,<14.0.0)"]
 
 [[package]]
 name = "letta-client"
-version = "0.1.39"
+version = "0.1.52"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "letta_client-0.1.39-py3-none-any.whl", hash = "sha256:0644643031f45ca6306e9690f9c75c8077e1d66a9b0247cbf45e018e13313312"},
-    {file = "letta_client-0.1.39.tar.gz", hash = "sha256:d4ac3aef4c6b33a6281df3751a2b9279c91448ebd75f55f0304c605317aa938a"},
+    {file = "letta_client-0.1.52-py3-none-any.whl", hash = "sha256:b1309df986f7e5e4f956207a8847579170d00e0c9bda63b28529b9d046cb7232"},
+    {file = "letta_client-0.1.52.tar.gz", hash = "sha256:87e82a48bce9316ce07d623691acb3d65c6b013e999fed24652e8e77d45137c7"},
 ]
 
 [package.dependencies]
@@ -2729,13 +2868,13 @@ pydantic = ">=1.10"
 
 [[package]]
 name = "llama-cloud-services"
-version = "0.6.1"
+version = "0.6.3"
 description = "Tailored SDK clients for LlamaCloud services."
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_cloud_services-0.6.1-py3-none-any.whl", hash = "sha256:0427c98284bbfedbdf1686d29729d04b13e13f72017e184057892c8583c2b195"},
-    {file = "llama_cloud_services-0.6.1.tar.gz", hash = "sha256:92c7ee4fcc80adaa60f26c0da805182fa56d771fff11e9abb873f9ddb11b5e37"},
+    {file = "llama_cloud_services-0.6.3-py3-none-any.whl", hash = "sha256:5db136268781151f318ee9bcb84c7bc7ea4a9f1b4577d4d003c5864d1c54d1af"},
+    {file = "llama_cloud_services-0.6.3.tar.gz", hash = "sha256:015a5830907dc871b77ba628d1ef1d720834bfa4777c0cb821509462cdaf76aa"},
 ]
 
 [package.dependencies]
@@ -2747,19 +2886,19 @@ python-dotenv = ">=1.0.1,<2.0.0"
 
 [[package]]
 name = "llama-index"
-version = "0.12.19"
+version = "0.12.21"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index-0.12.19-py3-none-any.whl", hash = "sha256:5ff5d3d3ae7a321cfccf16e76f07393e1a84f177d357c650eb9a0c3d1ba8bce7"},
-    {file = "llama_index-0.12.19.tar.gz", hash = "sha256:a13e1f95e78ae4ec8a53019583a6ff67bdadff296e800af85cc276ad748ae799"},
+    {file = "llama_index-0.12.21-py3-none-any.whl", hash = "sha256:860ebe29ceb55220fb3d15555d723fe3a2071b5b5fd6c687b5c8d407002c1098"},
+    {file = "llama_index-0.12.21.tar.gz", hash = "sha256:8ca52e6d9eb988b9761604297b5f78afacd27e66b8e6984968e052e4867fecab"},
 ]
 
 [package.dependencies]
 llama-index-agent-openai = ">=0.4.0,<0.5.0"
-llama-index-cli = ">=0.4.0,<0.5.0"
-llama-index-core = ">=0.12.19,<0.13.0"
+llama-index-cli = ">=0.4.1,<0.5.0"
+llama-index-core = ">=0.12.21,<0.13.0"
 llama-index-embeddings-openai = ">=0.3.0,<0.4.0"
 llama-index-indices-managed-llama-cloud = ">=0.4.0"
 llama-index-llms-openai = ">=0.3.0,<0.4.0"
@@ -2788,13 +2927,13 @@ openai = ">=1.14.0"
 
 [[package]]
 name = "llama-index-cli"
-version = "0.4.0"
+version = "0.4.1"
 description = "llama-index cli"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "llama_index_cli-0.4.0-py3-none-any.whl", hash = "sha256:60d12f89e6b85e80a0cc3a8b531f05a911b5eebaebc37314411476d1ba685904"},
-    {file = "llama_index_cli-0.4.0.tar.gz", hash = "sha256:d6ab201359962a8a34368aeda3a49bbbe67e9e009c59bd925c4fb2be4ace3906"},
+    {file = "llama_index_cli-0.4.1-py3-none-any.whl", hash = "sha256:6dfc931aea5b90c256e476b48dfac76f48fb2308fdf656bb02ee1e4f2cab8b06"},
+    {file = "llama_index_cli-0.4.1.tar.gz", hash = "sha256:3f97f1f8f5f401dfb5b6bc7170717c176dcd981538017430073ef12ffdcbddfa"},
 ]
 
 [package.dependencies]
@@ -2804,13 +2943,13 @@ llama-index-llms-openai = ">=0.3.0,<0.4.0"
 
 [[package]]
 name = "llama-index-core"
-version = "0.12.19"
+version = "0.12.21"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -2854,28 +2993,28 @@ openai = ">=1.1.0"
 
 [[package]]
 name = "llama-index-indices-managed-llama-cloud"
-version = "0.6.7"
+version = "0.6.8"
 description = "llama-index indices llama-cloud integration"
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 python-versions = "<4.0,>=3.9"
 files = [
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 [[package]]
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-version = "0.3.20"
+version = "0.3.25"
 description = "llama-index llms openai integration"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 [package.dependencies]
@@ -2967,27 +3106,27 @@ llama-parse = ">=0.5.0"
 
 [[package]]
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-version = "0.6.1"
+version = "0.6.2"
 description = "Parse files into RAG-Optimized formats."
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 python-versions = "<4.0,>=3.9"
 files = [
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 [package.dependencies]
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+llama-cloud-services = ">=0.6.2"
 
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+version = "2.33.0"
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 [package.dependencies]
@@ -3512,13 +3651,13 @@ files = [
 
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 [package.dependencies]
@@ -4160,13 +4299,13 @@ virtualenv = ">=20.10.0"
 
 [[package]]
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+version = "3.15.1"
 description = "A simple Python library for easily displaying tabular data in a visually appealing ASCII table format"
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 [[package]]
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 [package.dependencies]
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-    {file = "starlette-0.45.3.tar.gz", hash = "sha256:2cbcba2a75806f8a41c722141486f37c28e30a0921c5f6fe4346cb0dcee1302f"},
+    {file = "starlette-0.46.0-py3-none-any.whl", hash = "sha256:913f0798bd90ba90a9156383bcf1350a17d6259451d0d8ee27fc0cf2db609038"},
+    {file = "starlette-0.46.0.tar.gz", hash = "sha256:b359e4567456b28d473d0193f34c0de0ed49710d75ef183a74a5ce0499324f50"},
 ]
 
 [package.dependencies]
@@ -5967,6 +6121,17 @@ files = [
     {file = "tokenize_rt-6.1.0.tar.gz", hash = "sha256:e8ee836616c0877ab7c7b54776d2fefcc3bde714449a206762425ae114b53c86"},
 ]
 
+[[package]]
+name = "toml"
+version = "0.10.2"
+description = "Python Library for Tom's Obvious, Minimal Language"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
+    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
+]
+
 [[package]]
 name = "tomli"
 version = "2.2.1"
@@ -6865,4 +7030,4 @@ tests = ["wikipedia"]
 [metadata]
 lock-version = "2.0"
 python-versions = "<3.14,>=3.10"
-content-hash = "55cce79796d9e1265865b8bfc9a5b4aaa959705401054553b8bf39fe2f5c27f9"
+content-hash = "a5ae2759a9ca6d12bffa4662fcb7e34c172bf9efe1e15eb5d17b775281291336"
diff --git a/pyproject.toml b/pyproject.toml
index 7041426b..11c32627 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -87,6 +87,7 @@ faker = "^36.1.0"
 colorama = "^0.4.6"
 marshmallow-sqlalchemy = "^1.4.1"
 boto3 = {version = "^1.36.24", optional = true}
+datamodel-code-generator = {extras = ["http"], version = "^0.25.0"}
 
 
 [tool.poetry.extras]
diff --git a/tests/test_tool_schema_parsing.py b/tests/test_tool_schema_parsing.py
index 4a3fb3cc..109536ee 100644
--- a/tests/test_tool_schema_parsing.py
+++ b/tests/test_tool_schema_parsing.py
@@ -1,11 +1,14 @@
+import importlib.util
+import inspect
 import json
 import os
 
 import pytest
+from pydantic import BaseModel
 
 from letta.functions.functions import derive_openai_json_schema
 from letta.llm_api.helpers import convert_to_structured_output, make_post_request
-from letta.schemas.tool import ToolCreate
+from letta.schemas.tool import Tool, ToolCreate
 
 
 def _clean_diff(d1, d2):
@@ -233,3 +236,53 @@ def test_langchain_tool_schema_generation(openai_model: str, structured_output:
         print(f"Failed to call OpenAI using schema {schema} generated from {langchain_tool.name}\n\n")
 
         raise
+
+
+@pytest.mark.parametrize("openai_model", ["gpt-4", "gpt-4o"])
+@pytest.mark.parametrize("structured_output", [True, False])
+def test_valid_schemas_with_pydantic_args_schema(openai_model: str, structured_output: bool):
+    """Test that we can send the schemas to OpenAI and get a tool call back."""
+
+    for filename in [
+        "pydantic_as_single_arg_example",
+        "list_of_pydantic_example",
+        "nested_pydantic_as_arg_example",
+        "simple_d20",
+        "all_python_complex",
+        "all_python_complex_nodict",
+    ]:
+        # Import the module dynamically
+        file_path = os.path.join(os.path.dirname(__file__), f"test_tool_schema_parsing_files/{filename}.py")
+        spec = importlib.util.spec_from_file_location(filename, file_path)
+        module = importlib.util.module_from_spec(spec)
+        spec.loader.exec_module(module)
+
+        # Find the function definition and args schema if defined
+        last_function_name, last_function_source, last_model_class = None, None, None
+        for name, obj in inspect.getmembers(module):
+            if inspect.isfunction(obj) and obj.__module__ == module.__name__:
+                last_function_name = name
+                last_function_source = inspect.getsource(obj)  # only import the function, not the whole file
+            if inspect.isclass(obj) and obj.__module__ == module.__name__ and issubclass(obj, BaseModel):
+                last_model_class = obj
+
+        # Get the ArgsSchema if it exists
+        args_schema = None
+        if last_model_class:
+            args_schema = last_model_class.model_json_schema()
+
+        tool = Tool(
+            name=last_function_name,
+            source_code=last_function_source,
+            args_json_schema=args_schema,
+        )
+        schema = tool.json_schema
+
+        print(f"==== TESTING OPENAI PAYLOAD FOR {openai_model} + {filename} ====")
+
+        # We should expect the all_python_complex one to fail when structured_output=True
+        if filename == "all_python_complex" and structured_output:
+            with pytest.raises(ValueError):
+                _openai_payload(openai_model, schema, structured_output)
+        else:
+            _openai_payload(openai_model, schema, structured_output)
diff --git a/tests/test_tool_schema_parsing_files/all_python_complex.py b/tests/test_tool_schema_parsing_files/all_python_complex.py
index 4f7bc947..8e77248c 100644
--- a/tests/test_tool_schema_parsing_files/all_python_complex.py
+++ b/tests/test_tool_schema_parsing_files/all_python_complex.py
@@ -1,5 +1,34 @@
 from typing import List, Optional
 
+from pydantic import BaseModel, Field
+
+
+class ArgsSchema(BaseModel):
+    order_number: int = Field(
+        ...,
+        description="The order number to check on.",
+    )
+    customer_name: str = Field(
+        ...,
+        description="The customer name to check on.",
+    )
+    related_tickets: List[str] = Field(
+        ...,
+        description="A list of related ticket numbers.",
+    )
+    related_ticket_reasons: dict = Field(
+        ...,
+        description="A dictionary of reasons for each related ticket.",
+    )
+    severity: float = Field(
+        ...,
+        description="The severity of the order.",
+    )
+    metadata: Optional[dict] = Field(
+        None,
+        description="Optional metadata about the order.",
+    )
+
 
 def check_order_status(
     order_number: int,
diff --git a/tests/test_tool_schema_parsing_files/all_python_complex_nodict.py b/tests/test_tool_schema_parsing_files/all_python_complex_nodict.py
index 1c1bac4f..41106f5b 100644
--- a/tests/test_tool_schema_parsing_files/all_python_complex_nodict.py
+++ b/tests/test_tool_schema_parsing_files/all_python_complex_nodict.py
@@ -1,5 +1,30 @@
 from typing import List, Optional
 
+from pydantic import BaseModel, Field
+
+
+class ArgsSchema(BaseModel):
+    order_number: int = Field(
+        ...,
+        description="The order number to check on.",
+    )
+    customer_name: str = Field(
+        ...,
+        description="The customer name to check on.",
+    )
+    related_tickets: List[str] = Field(
+        ...,
+        description="A list of related ticket numbers.",
+    )
+    severity: float = Field(
+        ...,
+        description="The severity of the order.",
+    )
+    metadata: Optional[str] = Field(
+        None,
+        description="Optional metadata about the order.",
+    )
+
 
 def check_order_status(
     order_number: int,
diff --git a/tests/test_tool_schema_parsing_files/list_of_pydantic_example.py b/tests/test_tool_schema_parsing_files/list_of_pydantic_example.py
index cef1b7c9..400fd5de 100644
--- a/tests/test_tool_schema_parsing_files/list_of_pydantic_example.py
+++ b/tests/test_tool_schema_parsing_files/list_of_pydantic_example.py
@@ -16,6 +16,13 @@ class Step(BaseModel):
     )
 
 
+class ArgsSchema(BaseModel):
+    steps: list[Step] = Field(
+        ...,
+        description="List of steps to add to the task plan.",
+    )
+
+
 def create_task_plan(steps: list[Step]) -> str:
     """
     Creates a task plan for the current task.
diff --git a/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example.json b/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example.json
index 53cb12d9..087182cf 100644
--- a/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example.json
+++ b/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example.json
@@ -1,39 +1,43 @@
 {
-    "name": "create_task_plan",
-    "description": "Creates a task plan for the current task.",
-    "parameters": {
-      "type": "object",
-      "properties": {
-        "steps": {
-          "type": "object",
-          "description": "List of steps to add to the task plan.",
-          "properties": {
-            "steps": {
-              "type": "array",
-              "description": "A list of steps to add to the task plan.",
-              "items": {
-                "type": "object",
-                "properties": {
-                  "name": {
-                    "type": "string",
-                    "description": "Name of the step."
-                  },
-                  "key": {
-                    "type": "string",
-                    "description": "Unique identifier for the step."
-                  },
-                  "description": {
-                    "type": "string",
-                    "description": "An exhaustic description of what this step is trying to achieve and accomplish."
-                  }
+  "name": "create_task_plan",
+  "description": "Creates a task plan for the current task.",
+  "parameters": {
+    "type": "object",
+    "properties": {
+      "steps": {
+        "type": "object",
+        "description": "List of steps to add to the task plan.",
+        "properties": {
+          "steps": {
+            "type": "array",
+            "description": "A list of steps to add to the task plan.",
+            "items": {
+              "type": "object",
+              "properties": {
+                "name": {
+                  "type": "string",
+                  "description": "Name of the step."
                 },
-                "required": ["name", "key", "description"]
-              }
+                "key": {
+                  "type": "string",
+                  "description": "Unique identifier for the step."
+                },
+                "description": {
+                  "type": "string",
+                  "description": "An exhaustic description of what this step is trying to achieve and accomplish."
+                }
+              },
+              "required": ["name", "key", "description"]
             }
-          },
-          "required": ["steps"]
-        }
+          }
+        },
+        "required": ["steps"]
       },
-      "required": ["steps"]
-    }
+      "completed": {
+        "type": "integer",
+        "description": "The number of steps to add as completed to the task plan."
+      }
+    },
+    "required": ["steps", "completed"]
   }
+}
diff --git a/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example.py b/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example.py
index 50813f89..88c34946 100644
--- a/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example.py
+++ b/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example.py
@@ -25,7 +25,18 @@ class Steps(BaseModel):
     )
 
 
-def create_task_plan(steps: Steps) -> str:
+class ArgsSchema(BaseModel):
+    steps: Steps = Field(
+        ...,
+        description="A list of steps to add to the task plan.",
+    )
+    completed: int = Field(
+        ...,
+        description="The number of steps to add as completed to the task plan.",
+    )
+
+
+def create_task_plan(steps: Steps, completed: int) -> str:
     """
     Creates a task plan for the current task.
     It takes in a list of steps, and updates the task with the new steps provided.
@@ -39,6 +50,7 @@ def create_task_plan(steps: Steps) -> str:
 
     Args:
         steps: List of steps to add to the task plan.
+        completed: The number of steps to add as completed to the task plan.
 
     Returns:
         str: A summary of the updated task plan after deletion
diff --git a/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example_so.json b/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example_so.json
index 5f886b5d..0a311389 100644
--- a/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example_so.json
+++ b/tests/test_tool_schema_parsing_files/nested_pydantic_as_arg_example_so.json
@@ -1,43 +1,47 @@
 {
-    "name": "create_task_plan",
-    "description": "Creates a task plan for the current task.",
-    "strict": true,
-    "parameters": {
-      "type": "object",
-      "properties": {
-        "steps": {
-          "type": "object",
-          "description": "List of steps to add to the task plan.",
-          "properties": {
-            "steps": {
-              "type": "array",
-              "description": "A list of steps to add to the task plan.",
-              "items": {
-                "type": "object",
-                "properties": {
-                  "name": {
-                    "type": "string",
-                    "description": "Name of the step."
-                  },
-                  "key": {
-                    "type": "string",
-                    "description": "Unique identifier for the step."
-                  },
-                  "description": {
-                    "type": "string",
-                    "description": "An exhaustic description of what this step is trying to achieve and accomplish."
-                  }
+  "name": "create_task_plan",
+  "description": "Creates a task plan for the current task.",
+  "strict": true,
+  "parameters": {
+    "type": "object",
+    "properties": {
+      "steps": {
+        "type": "object",
+        "description": "List of steps to add to the task plan.",
+        "properties": {
+          "steps": {
+            "type": "array",
+            "description": "A list of steps to add to the task plan.",
+            "items": {
+              "type": "object",
+              "properties": {
+                "name": {
+                  "type": "string",
+                  "description": "Name of the step."
                 },
-                "additionalProperties": false,
-                "required": ["name", "key", "description"]
-              }
+                "key": {
+                  "type": "string",
+                  "description": "Unique identifier for the step."
+                },
+                "description": {
+                  "type": "string",
+                  "description": "An exhaustic description of what this step is trying to achieve and accomplish."
+                }
+              },
+              "additionalProperties": false,
+              "required": ["name", "key", "description"]
             }
-          },
-          "additionalProperties": false,
-          "required": ["steps"]
-        }
+          }
+        },
+        "additionalProperties": false,
+        "required": ["steps"]
       },
-      "additionalProperties": false,
-      "required": ["steps"]
-    }
+      "completed": {
+        "type": "integer",
+        "description": "The number of steps to add as completed to the task plan."
+      }
+    },
+    "additionalProperties": false,
+    "required": ["steps", "completed"]
   }
+}
diff --git a/tests/test_tool_schema_parsing_files/pydantic_as_single_arg_example.py b/tests/test_tool_schema_parsing_files/pydantic_as_single_arg_example.py
index 6a1b2264..44d46ecc 100644
--- a/tests/test_tool_schema_parsing_files/pydantic_as_single_arg_example.py
+++ b/tests/test_tool_schema_parsing_files/pydantic_as_single_arg_example.py
@@ -16,6 +16,13 @@ class Step(BaseModel):
     )
 
 
+class ArgsSchema(BaseModel):
+    step: Step = Field(
+        ...,
+        description="A step to add to the task plan.",
+    )
+
+
 def create_step(step: Step) -> str:
     """
     Creates a step for the current task.