add: requirements.txt + app renaming

app.py

@@ -1,153 +1,190 @@
-import functools
-import os
 import uuid
-import asyncio
+import os
 import gradio as gr
 
-from langchain_mcp_adapters.client import MultiServerMCPClient
-from langchain_openai import ChatOpenAI
-from langgraph.prebuilt import ToolNode
-from langgraph.graph import MessagesState, END, StateGraph
-from langchain_core.messages import HumanMessage, SystemMessage, AIMessage
-from langgraph.checkpoint.memory import MemorySaver
-
-
-
-# Apply a theme
-theme = gr.themes.Soft(
-    primary_hue="blue", secondary_hue="sky", neutral_hue="slate"
-).set(
-    body_background_fill="linear-gradient(to right, #f0f4f8, #e6e9f0)",  # Light gradient background
-    block_background_fill="white",
-    block_border_width="1px",
-    block_shadow="*shadow_drop_lg",
-    button_primary_background_fill="*primary_500",
-    button_primary_text_color="white",
-    button_secondary_background_fill="*secondary_500",
-    button_secondary_text_color="white",
-)
-
-with gr.Blocks(theme=theme, title="PMCP - Agentic Project Management") as demo:
-    gr.Markdown(
-        """
-        # PMCP - Agentic Project Management
-        Manage your projects with AI assistance - GitHub, Trello.
-        """
-    )
-    
-    with gr.Row():
-        # Left column for environment variables
-        with gr.Column(scale=1):
-            gr.Markdown("### Environment Variables")
-            github_repo = gr.Textbox(label="GitHub Repo", placeholder="username/repository")
-            github_token = gr.Textbox(label="GitHub Token", placeholder="ghp_xxxxxxxxxxxx", type="password")
-            trello_api = gr.Textbox(label="Trello API", placeholder="Your Trello API key")
-            trello_token = gr.Textbox(label="Trello Token", placeholder="Your Trello token", type="password")
-            hf_token = gr.Textbox(label="HF Token", placeholder="Your Hugging Face token", type="password")
-            
-            set_env_button = gr.Button("Set Environment Variables", variant="primary")
-            env_status = gr.Markdown("")
-            
-        # Right column for chat interface
-        with gr.Column(scale=2):
-            chatbot = gr.Chatbot(
-                label="Conversation",
-                bubble_full_width=False,
-                height=600,
-                avatar_images=(
-                    None,
-                    "https://upload.wikimedia.org/wikipedia/commons/thumb/7/72/Brandon_Sanderson_in_2018.jpg/800px-Brandon_Sanderson_in_2018.jpg?20230101015657",
-                ),
-                # (user_avatar, bot_avatar) - replace bot avatar with something better or remove
-            )
+from langchain_core.messages import HumanMessage, AIMessage
+
+# Assuming mcpc_graph.py and its setup_graph function are in the same directory.
+from mcpc_graph import setup_graph
+
+
+async def chat_logic(
+    message,
+    history,
+    session_state,
+    github_repo,
+    github_token,
+    trello_api,
+    trello_token,
+    hf_token,
+):
+    """
+    Handles the main chat logic, including environment setup and streaming responses.
+
+    Args:
+        message (str): The user's input message.
+        history (list): The chat history managed by Gradio.
+        session_state (dict): A dictionary to maintain state across calls for a session.
+        github_repo (str): The GitHub repository (username/repo).
+        github_token (str): The GitHub personal access token.
+        trello_api (str): The Trello API key.
+        trello_token (str): The Trello API token.
+        hf_token (str): The Hugging Face API token.
+
+    Yields:
+        str: The bot's streaming response or an interruption message.
+    """
+    # Retrieve the initialized graph and interrupt handler from the session state.
+    app = session_state.get("app")
+    human_resume_node = session_state.get("human_resume_node")
+
+    # If the graph is not initialized, this is the first message of the session.
+    # We configure the environment and set up the graph.
+    if app is None:
+        # Check if all required fields have been filled out.
+        if not all([github_repo, github_token, trello_api, trello_token, hf_token]):
+            yield "Error: Please provide all API keys and the GitHub repository in the 'API Configuration' section before starting the chat."
+            return
+
+        # Set environment variables for the current process.
+        os.environ["GITHUB_REPO"] = github_repo
+        os.environ["HUGGINGFACE_API_KEY"] = hf_token
+
+        # Asynchronously initialize the graph and store it in the session state
+        # to reuse it for subsequent messages in the same session.
+        app, human_resume_node = await setup_graph(
+            github_token=github_token, trello_api=trello_api, trello_token=trello_token
+        )
+        session_state["app"] = app
+        session_state["human_resume_node"] = human_resume_node
+
+    # Ensure a unique thread_id for the conversation.
+    thread_id = session_state.get("thread_id")
+    if not thread_id:
+        thread_id = str(uuid.uuid4())
+        session_state["thread_id"] = thread_id
+
+    # Check if the current message is a response to a human interruption.
+    is_message_command = session_state.get("is_message_command", False)
+
+    config = {
+        "configurable": {"thread_id": thread_id},
+        "recursion_limit": 100,
+    }
+
+    if is_message_command:
+        # The user is providing feedback to an interruption.
+        app_input = human_resume_node.call_human_interrupt_agent(message)
+        session_state["is_message_command"] = False
+    else:
+        # A standard user message.
+        app_input = {"messages": [HumanMessage(content=message)]}
+
+    app_input["github_repo"] = github_repo
+    # Stream the graph's response.
+    # This revised logic handles intermediate messages and prevents duplication.
+    async for res in app.astream(app_input, config=config, stream_mode="values"):
+        if "messages" in res:
+            last_message = res["messages"][-1]
+            # We only stream content from AIMessages. Any intermediate AIMessages
+            # (e.g., "I will now use a tool") will be overwritten by subsequent
+            # AIMessages in the UI, so only the final answer is visible.
+            if isinstance(last_message, AIMessage):
+                yield last_message.content
+
+        elif "__interrupt__" in res:
+            # Handle interruptions where the agent needs human feedback.
+            interruption_message = res["__interrupt__"][0]
+            session_state["is_message_command"] = True
+            yield interruption_message.value
+            return  # Stop the stream and wait for the user's next message.
+
+
+def create_gradio_app():
+    """Creates and launches the Gradio web application."""
+    print("Launching Gradio app...")
+
+    with gr.Blocks(theme=gr.themes.Soft(), title="LangGraph Multi-Agent Chat") as demo:
+        session_state = gr.State({})
+
+        gr.Markdown(
+            """
+            # LangGraph Multi-Agent Project Manager
+
+            Interact with a multi-agent system powered by LangGraph.
+            You can assign tasks related to Trello and Github.
+            The system can be interrupted for human feedback when it needs to use a tool.
+            """
+        )
 
-            with gr.Row():
-                msg = gr.Textbox(
-                    label="Your Message",
-                    placeholder="Type your message here and press Enter to send...",
-                    scale=4,  # Make textbox take more space
-                    autofocus=True,
-                )
-                with gr.Column(scale=1):
-                    submit_button = gr.Button("Send", variant="primary")
-                    clear_button = gr.Button("Reset Conversation", variant="secondary")
-
-    async def respond(user_message_text, chat_history):
-        if not user_message_text.strip():
-            return (
-                chat_history,
-                "",
-            )  # Ignore empty input, return current history and clear textbox
-
-        is_first_turn = not chat_history
-
-        # Append user message to chat_history optimistically for immediate display
-        # Bot response will fill in the 'None' later or add new [None, bot_msg] rows
-        # This makes UI feel more responsive.
-        # chat_history.append([user_message_text, None]) # Temporarily removed for simpler logic below
-
-        ai_utterances = await agent.generate_responses_for_turn(
-            user_message_text, is_first_turn
+        chatbot = gr.Chatbot(
+            [],
+            elem_id="chatbot",
+            bubble_full_width=False,
+            height=600,
+            label="Multi-Agent Chat",
+            show_label=False,
         )
 
-        if ai_utterances:
-            chat_history.append([user_message_text, ai_utterances[0]])
-            for i in range(1, len(ai_utterances)):
-                chat_history.append([None, ai_utterances[i]])
-        else:
-            # If agent provides no utterances (e.g. error or no action)
-            chat_history.append(
-                [user_message_text, "I don't have a response for that right now."]
+        # --- FIX: Added an accordion for API keys and configuration ---
+        with gr.Accordion("API Configuration", open=True):
+            gr.Markdown(
+                "Please enter your credentials. The agent will be configured when you send your first message."
+            )
+            github_repo = gr.Textbox(
+                label="GitHub Repo",
+                placeholder="e.g., username/repository",
+                info="The target repository for GitHub operations.",
+            )
+            github_token = gr.Textbox(
+                label="GitHub Token",
+                placeholder="ghp_xxxxxxxxxxxx",
+                type="password",
+                info="A fine-grained personal access token.",
             )
+            trello_api = gr.Textbox(
+                label="Trello API Key",
+                placeholder="Your Trello API key",
+                info="Your API key from trello.com/power-ups/admin.",
+            )
+            trello_token = gr.Textbox(
+                label="Trello Token",
+                placeholder="Your Trello token",
+                type="password",
+                info="A token generated from your Trello account.",
+            )
+            hf_token = gr.Textbox(
+                label="Hugging Face Token",
+                placeholder="hf_xxxxxxxxxxxx",
+                type="password",
+                info="Used for tools requiring Hugging Face models.",
+            )
+
+        gr.ChatInterface(
+            fn=chat_logic,
+            chatbot=chatbot,
+            additional_inputs=[
+                session_state,
+                github_repo,
+                github_token,
+                trello_api,
+                trello_token,
+                hf_token,
+            ],
+            title=None,
+            description=None,
+        )
+
+    demo.queue()
+    demo.launch(debug=True)
 
-        return chat_history, ""  # Return updated history and clear the textbox
-
-    # Event handlers
-    msg.submit(respond, [msg, chatbot], [chatbot, msg])
-    submit_button.click(respond, [msg, chatbot], [chatbot, msg])
-
-    def clear_chat_and_reset_agent():
-        agent.reset_thread()
-        return [], ""  # Clears chatbot UI and textbox
-    
-    def set_environment_variables(github_repo, github_token, trello_api, trello_token, hf_token):
-        # Set environment variables
-        if github_repo:
-            os.environ["GITHUB_REPO"] = github_repo
-        if github_token:
-            os.environ["GITHUB_TOKEN"] = github_token
-        if trello_api:
-            os.environ["TRELLO_API_KEY"] = trello_api
-        if trello_token:
-            os.environ["TRELLO_TOKEN"] = trello_token
-        if hf_token:
-            os.environ["NEBIUS_API_KEY"] = hf_token
-            
-        # Create a message showing which variables were set
-        set_vars = []
-        if github_repo: set_vars.append("GITHUB_REPO")
-        if github_token: set_vars.append("GITHUB_TOKEN")
-        if trello_api: set_vars.append("TRELLO_API_KEY")
-        if trello_token: set_vars.append("TRELLO_TOKEN")
-        if hf_token: set_vars.append("NEBIUS_API_KEY")
-        
-        if set_vars:
-            return f"✅ Set environment variables: {', '.join(set_vars)}"
-        else:
-            return "⚠️ No environment variables were set"
-
-    # Connect the set environment variables button
-    set_env_button.click(
-        set_environment_variables,
-        inputs=[github_repo, github_token, trello_api, trello_token, hf_token],
-        outputs=[env_status]
-    )
-    
-    clear_button.click(clear_chat_and_reset_agent, None, [chatbot, msg], queue=False)
-
-    # Load agent setup when the app starts
-    # Using a lambda to ensure asyncio.run is called within the demo's event loop context if needed
-    demo.load(lambda: asyncio.run(agent.setup()))
 
 if __name__ == "__main__":
-    demo.launch()
+    try:
+        # The main function to create the app is now synchronous.
+        # Gradio handles the async calls within the chat logic.
+        create_gradio_app()
+    except KeyboardInterrupt:
+        print("\nShutting down Gradio app.")
+    except Exception as e:
+        print(f"An error occurred: {e}")

app_new.py

@@ -1,190 +0,0 @@
-import uuid
-import os
-import gradio as gr
-
-from langchain_core.messages import HumanMessage, AIMessage
-
-# Assuming mcpc_graph.py and its setup_graph function are in the same directory.
-from mcpc_graph import setup_graph
-
-
-async def chat_logic(
-    message,
-    history,
-    session_state,
-    github_repo,
-    github_token,
-    trello_api,
-    trello_token,
-    hf_token,
-):
-    """
-    Handles the main chat logic, including environment setup and streaming responses.
-
-    Args:
-        message (str): The user's input message.
-        history (list): The chat history managed by Gradio.
-        session_state (dict): A dictionary to maintain state across calls for a session.
-        github_repo (str): The GitHub repository (username/repo).
-        github_token (str): The GitHub personal access token.
-        trello_api (str): The Trello API key.
-        trello_token (str): The Trello API token.
-        hf_token (str): The Hugging Face API token.
-
-    Yields:
-        str: The bot's streaming response or an interruption message.
-    """
-    # Retrieve the initialized graph and interrupt handler from the session state.
-    app = session_state.get("app")
-    human_resume_node = session_state.get("human_resume_node")
-
-    # If the graph is not initialized, this is the first message of the session.
-    # We configure the environment and set up the graph.
-    if app is None:
-        # Check if all required fields have been filled out.
-        if not all([github_repo, github_token, trello_api, trello_token, hf_token]):
-            yield "Error: Please provide all API keys and the GitHub repository in the 'API Configuration' section before starting the chat."
-            return
-
-        # Set environment variables for the current process.
-        os.environ["GITHUB_REPO"] = github_repo
-        os.environ["HUGGINGFACE_API_KEY"] = hf_token
-
-        # Asynchronously initialize the graph and store it in the session state
-        # to reuse it for subsequent messages in the same session.
-        app, human_resume_node = await setup_graph(
-            github_token=github_token, trello_api=trello_api, trello_token=trello_token
-        )
-        session_state["app"] = app
-        session_state["human_resume_node"] = human_resume_node
-
-    # Ensure a unique thread_id for the conversation.
-    thread_id = session_state.get("thread_id")
-    if not thread_id:
-        thread_id = str(uuid.uuid4())
-        session_state["thread_id"] = thread_id
-
-    # Check if the current message is a response to a human interruption.
-    is_message_command = session_state.get("is_message_command", False)
-
-    config = {
-        "configurable": {"thread_id": thread_id},
-        "recursion_limit": 100,
-    }
-
-    if is_message_command:
-        # The user is providing feedback to an interruption.
-        app_input = human_resume_node.call_human_interrupt_agent(message)
-        session_state["is_message_command"] = False
-    else:
-        # A standard user message.
-        app_input = {"messages": [HumanMessage(content=message)]}
-
-    app_input["github_repo"] = github_repo
-    # Stream the graph's response.
-    # This revised logic handles intermediate messages and prevents duplication.
-    async for res in app.astream(app_input, config=config, stream_mode="values"):
-        if "messages" in res:
-            last_message = res["messages"][-1]
-            # We only stream content from AIMessages. Any intermediate AIMessages
-            # (e.g., "I will now use a tool") will be overwritten by subsequent
-            # AIMessages in the UI, so only the final answer is visible.
-            if isinstance(last_message, AIMessage):
-                yield last_message.content
-
-        elif "__interrupt__" in res:
-            # Handle interruptions where the agent needs human feedback.
-            interruption_message = res["__interrupt__"][0]
-            session_state["is_message_command"] = True
-            yield interruption_message.value
-            return  # Stop the stream and wait for the user's next message.
-
-
-def create_gradio_app():
-    """Creates and launches the Gradio web application."""
-    print("Launching Gradio app...")
-
-    with gr.Blocks(theme=gr.themes.Soft(), title="LangGraph Multi-Agent Chat") as demo:
-        session_state = gr.State({})
-
-        gr.Markdown(
-            """
-            # LangGraph Multi-Agent Project Manager
-            
-            Interact with a multi-agent system powered by LangGraph.
-            You can assign tasks related to Trello and Github.
-            The system can be interrupted for human feedback when it needs to use a tool.
-            """
-        )
-
-        chatbot = gr.Chatbot(
-            [],
-            elem_id="chatbot",
-            bubble_full_width=False,
-            height=600,
-            label="Multi-Agent Chat",
-            show_label=False,
-        )
-
-        # --- FIX: Added an accordion for API keys and configuration ---
-        with gr.Accordion("API Configuration", open=True):
-            gr.Markdown(
-                "Please enter your credentials. The agent will be configured when you send your first message."
-            )
-            github_repo = gr.Textbox(
-                label="GitHub Repo",
-                placeholder="e.g., username/repository",
-                info="The target repository for GitHub operations.",
-            )
-            github_token = gr.Textbox(
-                label="GitHub Token",
-                placeholder="ghp_xxxxxxxxxxxx",
-                type="password",
-                info="A fine-grained personal access token.",
-            )
-            trello_api = gr.Textbox(
-                label="Trello API Key",
-                placeholder="Your Trello API key",
-                info="Your API key from trello.com/power-ups/admin.",
-            )
-            trello_token = gr.Textbox(
-                label="Trello Token",
-                placeholder="Your Trello token",
-                type="password",
-                info="A token generated from your Trello account.",
-            )
-            hf_token = gr.Textbox(
-                label="Hugging Face Token",
-                placeholder="hf_xxxxxxxxxxxx",
-                type="password",
-                info="Used for tools requiring Hugging Face models.",
-            )
-
-        chat_interface = gr.ChatInterface(
-            fn=chat_logic,
-            chatbot=chatbot,
-            additional_inputs=[
-                session_state,
-                github_repo,
-                github_token,
-                trello_api,
-                trello_token,
-                hf_token,
-            ],
-            title=None,
-            description=None,
-        )
-
-    demo.queue()
-    demo.launch(debug=True)
-
-
-if __name__ == "__main__":
-    try:
-        # The main function to create the app is now synchronous.
-        # Gradio handles the async calls within the chat logic.
-        create_gradio_app()
-    except KeyboardInterrupt:
-        print("\nShutting down Gradio app.")
-    except Exception as e:
-        print(f"An error occurred: {e}")

requirements.txt

@@ -0,0 +1,401 @@
+# This file was autogenerated by uv via the following command:
+#    uv export --format requirements-txt --no-hashes
+aiofiles==24.1.0
+    # via gradio
+aiohappyeyeballs==2.6.1
+    # via aiohttp
+aiohttp==3.12.6
+    # via litellm
+aiosignal==1.3.2
+    # via aiohttp
+aiosqlite==0.21.0
+    # via langgraph-checkpoint-sqlite
+annotated-types==0.7.0
+    # via pydantic
+anyio==4.9.0
+    # via
+    #   gradio
+    #   httpx
+    #   mcp
+    #   openai
+    #   sse-starlette
+    #   starlette
+attrs==25.3.0
+    # via
+    #   aiohttp
+    #   jsonschema
+    #   referencing
+audioop-lts==0.2.1 ; python_full_version >= '3.13'
+    # via gradio
+beautifulsoup4==4.13.4
+    # via markdownify
+certifi==2025.4.26
+    # via
+    #   httpcore
+    #   httpx
+    #   requests
+cffi==1.17.1 ; platform_python_implementation == 'PyPy'
+    # via zstandard
+cfgv==3.4.0
+    # via pre-commit
+charset-normalizer==3.4.2
+    # via requests
+click==8.2.1
+    # via
+    #   duckduckgo-search
+    #   litellm
+    #   typer
+    #   uvicorn
+colorama==0.4.6 ; sys_platform == 'win32'
+    # via
+    #   click
+    #   tqdm
+distlib==0.3.9
+    # via virtualenv
+distro==1.9.0
+    # via openai
+duckduckgo-search==8.0.2
+    # via smolagents
+exceptiongroup==1.3.0
+    # via fastmcp
+fastapi==0.115.12
+    # via gradio
+fastmcp==2.5.2
+    # via pmcp
+ffmpy==0.5.0
+    # via gradio
+filelock==3.18.0
+    # via
+    #   huggingface-hub
+    #   virtualenv
+frozenlist==1.6.0
+    # via
+    #   aiohttp
+    #   aiosignal
+fsspec==2025.5.1
+    # via
+    #   gradio-client
+    #   huggingface-hub
+gradio==5.32.0
+    # via pmcp
+gradio-client==1.10.2
+    # via gradio
+grandalf==0.8
+    # via pmcp
+groovy==0.1.2
+    # via gradio
+h11==0.16.0
+    # via
+    #   httpcore
+    #   uvicorn
+hf-xet==1.1.2 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
+    # via huggingface-hub
+httpcore==1.0.9
+    # via httpx
+httpx==0.28.1
+    # via
+    #   fastmcp
+    #   gradio
+    #   gradio-client
+    #   langgraph-sdk
+    #   langsmith
+    #   litellm
+    #   mcp
+    #   openai
+    #   pmcp
+    #   safehttpx
+httpx-sse==0.4.0
+    # via mcp
+huggingface-hub==0.32.3
+    # via
+    #   gradio
+    #   gradio-client
+    #   smolagents
+    #   tokenizers
+identify==2.6.12
+    # via pre-commit
+idna==3.10
+    # via
+    #   anyio
+    #   httpx
+    #   requests
+    #   yarl
+importlib-metadata==8.7.0
+    # via litellm
+jinja2==3.1.6
+    # via
+    #   gradio
+    #   litellm
+    #   smolagents
+jiter==0.10.0
+    # via openai
+jsonpatch==1.33
+    # via langchain-core
+jsonpointer==3.0.0
+    # via jsonpatch
+jsonref==1.1.0
+    # via mcpadapt
+jsonschema==4.24.0
+    # via litellm
+jsonschema-specifications==2025.4.1
+    # via jsonschema
+langchain-core==0.3.63
+    # via
+    #   langchain-mcp-adapters
+    #   langchain-openai
+    #   langgraph
+    #   langgraph-checkpoint
+    #   langgraph-prebuilt
+langchain-mcp-adapters==0.1.1
+    # via pmcp
+langchain-openai==0.3.18
+    # via pmcp
+langgraph==0.4.7
+    # via pmcp
+langgraph-checkpoint==2.0.26
+    # via
+    #   langgraph
+    #   langgraph-checkpoint-sqlite
+    #   langgraph-prebuilt
+langgraph-checkpoint-sqlite==2.0.10
+    # via pmcp
+langgraph-prebuilt==0.2.2
+    # via langgraph
+langgraph-sdk==0.1.70
+    # via langgraph
+langsmith==0.3.43
+    # via langchain-core
+litellm==1.72.0
+    # via smolagents
+lxml==5.4.0
+    # via duckduckgo-search
+markdown-it-py==3.0.0
+    # via rich
+markdownify==1.1.0
+    # via smolagents
+markupsafe==3.0.2
+    # via
+    #   gradio
+    #   jinja2
+mcp==1.9.0
+    # via
+    #   fastmcp
+    #   gradio
+    #   langchain-mcp-adapters
+    #   mcpadapt
+    #   pmcp
+    #   smolagents
+mcpadapt==0.1.9
+    # via smolagents
+mdurl==0.1.2
+    # via markdown-it-py
+multidict==6.4.4
+    # via
+    #   aiohttp
+    #   yarl
+nodeenv==1.9.1
+    # via pre-commit
+numpy==2.2.6
+    # via
+    #   gradio
+    #   pandas
+openai==1.82.1
+    # via
+    #   langchain-openai
+    #   litellm
+openapi-pydantic==0.5.1
+    # via fastmcp
+orjson==3.10.18
+    # via
+    #   gradio
+    #   langgraph-sdk
+    #   langsmith
+ormsgpack==1.10.0
+    # via langgraph-checkpoint
+packaging==24.2
+    # via
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+    #   langchain-core
+    #   langsmith
+pandas==2.2.3
+    # via gradio
+pillow==11.2.1
+    # via
+    #   gradio
+    #   smolagents
+platformdirs==4.3.8
+    # via virtualenv
+pre-commit==4.2.0
+primp==0.15.0
+    # via duckduckgo-search
+propcache==0.3.1
+    # via
+    #   aiohttp
+    #   yarl
+pycparser==2.22 ; platform_python_implementation == 'PyPy'
+    # via cffi
+pydantic==2.11.5
+    # via
+    #   fastapi
+    #   gradio
+    #   langchain-core
+    #   langgraph
+    #   langsmith
+    #   litellm
+    #   mcp
+    #   mcpadapt
+    #   openai
+    #   openapi-pydantic
+    #   pydantic-settings
+pydantic-core==2.33.2
+    # via pydantic
+pydantic-settings==2.9.1
+    # via mcp
+pydub==0.25.1
+    # via gradio
+pygments==2.19.1
+    # via rich
+pyparsing==3.2.3
+    # via grandalf
+python-dateutil==2.9.0.post0
+    # via pandas
+python-dotenv==1.1.0
+    # via
+    #   fastmcp
+    #   litellm
+    #   mcp
+    #   mcpadapt
+    #   pydantic-settings
+    #   smolagents
+python-multipart==0.0.20
+    # via
+    #   gradio
+    #   mcp
+pytz==2025.2
+    # via pandas
+pyyaml==6.0.2
+    # via
+    #   gradio
+    #   huggingface-hub
+    #   langchain-core
+    #   pre-commit
+referencing==0.36.2
+    # via
+    #   jsonschema
+    #   jsonschema-specifications
+regex==2024.11.6
+    # via tiktoken
+requests==2.32.3
+    # via
+    #   huggingface-hub
+    #   langsmith
+    #   pmcp
+    #   requests-toolbelt
+    #   smolagents
+    #   tiktoken
+requests-toolbelt==1.0.0
+    # via langsmith
+rich==14.0.0
+    # via
+    #   fastmcp
+    #   smolagents
+    #   typer
+rpds-py==0.25.1
+    # via
+    #   jsonschema
+    #   referencing
+ruff==0.11.12
+    # via gradio
+safehttpx==0.1.6
+    # via gradio
+semantic-version==2.10.0
+    # via gradio
+shellingham==1.5.4
+    # via typer
+six==1.17.0
+    # via
+    #   markdownify
+    #   python-dateutil
+smolagents==1.17.0
+    # via pmcp
+sniffio==1.3.1
+    # via
+    #   anyio
+    #   openai
+soupsieve==2.7
+    # via beautifulsoup4
+sqlite-vec==0.1.6
+    # via langgraph-checkpoint-sqlite
+sse-starlette==2.3.6
+    # via mcp
+starlette==0.46.2
+    # via
+    #   fastapi
+    #   gradio
+    #   mcp
+tenacity==9.1.2
+    # via langchain-core
+tiktoken==0.9.0
+    # via
+    #   langchain-openai
+    #   litellm
+tokenizers==0.21.1
+    # via litellm
+tomlkit==0.13.2
+    # via gradio
+tqdm==4.67.1
+    # via
+    #   huggingface-hub
+    #   openai
+typer==0.16.0
+    # via
+    #   fastmcp
+    #   gradio
+    #   mcp
+typing-extensions==4.13.2
+    # via
+    #   aiosqlite
+    #   anyio
+    #   beautifulsoup4
+    #   exceptiongroup
+    #   fastapi
+    #   gradio
+    #   gradio-client
+    #   huggingface-hub
+    #   langchain-core
+    #   openai
+    #   pydantic
+    #   pydantic-core
+    #   referencing
+    #   typer
+    #   typing-inspection
+typing-inspection==0.4.1
+    # via
+    #   pydantic
+    #   pydantic-settings
+tzdata==2025.2
+    # via pandas
+urllib3==2.4.0
+    # via
+    #   gradio
+    #   requests
+uvicorn==0.34.3 ; sys_platform != 'emscripten'
+    # via
+    #   gradio
+    #   mcp
+virtualenv==20.31.2
+    # via pre-commit
+websockets==15.0.1
+    # via
+    #   fastmcp
+    #   gradio-client
+xxhash==3.5.0
+    # via langgraph
+yarl==1.20.0
+    # via aiohttp
+zipp==3.22.0
+    # via importlib-metadata
+zstandard==0.23.0
+    # via langsmith