ui-improvements (#17)

- feat: improves ui (1cf2398913610e9b0967eb0764fe71e54969d765)

README.md

@@ -14,48 +14,48 @@ short_description: AI-driven TDAgent to automate threat analysis with MCP tools
 
 ---
 
-# TDAgentTools & TDAgent: Empowering Cybersecurity with Agentic AI
+# Welcome to **TDAgentTools & TDAgent**
 
-Welcome to TDAgentTools & TDAgent, our innovative proof of concept (PoC) crafted for the Agents-MCP Hackathon. Our initiatives focus on leveraging Agentic AI to enhance cybersecurity threat analysis, providing robust tools for data enrichment and strategic advice for incident handling.
+Our innovative proof of concept (PoC) crafted for the Agents-MCP Hackathon. Our initiatives focus on leveraging Agentic AI to enhance cybersecurity threat analysis, providing robust tools for data enrichment and strategic advice for incident handling.
 
 ## Team Introduction
 
 We are an AI-focused team within a company, dedicated to empowering other teams by implementing AI solutions. Our expertise lies in automating processes to enhance productivity and tackle complex tasks that AI excels in. Our hackathon team members include:
 
-- Pedro Completo Bento
-- Josep Pon Farreny
-- Sofia Jeronimo dos Santos
-- Rodrigo Dominguez Sanz
-- Miguel Rodin
+- **Pedro Completo Bento**
+- **Josep Pon Farreny**
+- **Sofia Jeronimo dos Santos**
+- **Rodrigo Dominguez Sanz**
+- **Miguel Rodin**
 
 ## Project Overview
 
-### Track 1: MCP Tool - TDAgentTools
+### Track 1: MCP Tool - **TDAgentTools**
 
-TDAgentTools serves as an MCP server built using Gradio, offering a wide array of cybersecurity intelligence tools. These tools enable users to augment their LLMs' capabilities by integrating with various publicly available cybersecurity intel resources. Our TDAgentTools are accessible via the following link: [TDAgentTools Space](https://huggingface.co/spaces/Agents-MCP-Hackathon/TDAgentTools).
+**TDAgentTools** serves as an MCP server built using Gradio, offering a wide array of cybersecurity intelligence tools. These tools enable users to augment their LLMs' capabilities by integrating with various publicly available cybersecurity intel resources. Our **TDAgentTools** are accessible via the following link: [TDAgentTools Space](https://huggingface.co/spaces/Agents-MCP-Hackathon/TDAgentTools).
 
 #### Available Tools:
-1. **TDAgentTools_get_url_http_content**: Retrieve URL content through an HTTP GET request.
-2. **TDAgentTools_query_abuseipdb**: Query AbuseIPDB to check if an IP is reported for abusive behavior.
-3. **TDAgentTools_query_rdap**: Gather information about internet resources such as domain names and IP addresses.
-4. **TDAgentTools_get_virus_total_url_info**: Fetch URL information using VirusTotal URL Scanner.
-5. **TDAgentTools_get_geolocation**: Obtain location details from an IP address.
-6. **TDAgentTools_enumerate_dns**: Access DNS configuration details for a given domain.
-7. **TDAgentTools_scrap_subdomains_for_domain**: Retrieve subdomains related to a domain.
-8. **TDAgentTools_retrieve_ioc_from_threatfox**: Get potential IoC information from ThreatFox.
-9. **TDAgentTools_get_stix_object_of_attack_id**: Access a STIX object using an ATT&CK ID.
-10. **TDAgentTools_lookup_user**: Seek user details from the Company User Lookup System.
-11. **TDAgentTools_lookup_cloud_account**: Investigate cloud account information.
-12. **TDAgentTools_send_email**: Simulate emailing from [email protected].
-
-> **Note:** TDAgentTools rely on publicly provided APIs and some of which require API keys. If any of these API keys are revoked, certain tools may not function as intended.
+1. ***TDAgentTools_get_url_http_content***: Retrieve URL content through an HTTP GET request.
+2. ***TDAgentTools_query_abuseipdb***: Query AbuseIPDB to check if an IP is reported for abusive behavior.
+3. ***TDAgentTools_query_rdap***: Gather information about internet resources such as domain names and IP addresses.
+4. ***TDAgentTools_get_virus_total_url_info***: Fetch URL information using VirusTotal URL Scanner.
+5. ***TDAgentTools_get_geolocation***: Obtain location details from an IP address.
+6. ***TDAgentTools_enumerate_dns***: Access DNS configuration details for a given domain.
+7. ***TDAgentTools_scrap_subdomains_for_domain***: Retrieve subdomains related to a domain.
+8. ***TDAgentTools_retrieve_ioc_from_threatfox***: Get potential IoC information from ThreatFox.
+9. ***TDAgentTools_get_stix_object_of_attack_id***: Access a STIX object using an ATT&CK ID.
+10. ***TDAgentTools_lookup_user***: Seek user details from the Company User Lookup System.
+11. ***TDAgentTools_lookup_cloud_account***: Investigate cloud account information.
+12. ***TDAgentTools_send_email***: Simulate emailing from [email protected].
+
+> **Note:** TDAgentTools rely on publicly provided APIs, and some of these require API keys. If any of these API keys are revoked, certain tools may not function as intended.
 
 [Track1 Demo link](https://youtu.be/c7Yg_jOD6J0)
 
 
-### Track 3: Agentic Demo Showcase - TDAgent
+### Track 3: Agentic Demo Showcase - **TDAgent**
 
-TDAgent is an adaptive and interactive AI agent. This agent facilitates a dynamic AI experience, allowing users to switch the LLM used and adjust the system prompt to refine the agent’s behavior and objectives. It uses TDAgentTools to enrich threat data. Explore it here: [TDAgent Space](https://huggingface.co/spaces/Agents-MCP-Hackathon/TDAgent).
+**TDAgent** is an adaptive and interactive AI agent. This agent facilitates a dynamic AI experience, allowing users to switch the LLM used and adjust the system prompt to refine the agent’s behavior and objectives. It uses **TDAgentTools** to enrich threat data. Explore it here: [TDAgent Space](https://huggingface.co/spaces/Agents-MCP-Hackathon/TDAgent).
 
 #### Key Features:
 - **Intelligent API Interactions**: The agent autonomously interacts with APIs for data enrichment and analysis without explicit user guidance.
@@ -85,14 +85,15 @@ We aimed to:
 
 Our projects successfully demonstrated rapid prototyping with Gradio and Hugging Face Spaces, achieving all intended objectives while providing an engaging and rewarding experience for our team. This PoC shows the potential for future expansions and refinements in the realm of cybersecurity AI support!
 
+---
 
 # TDA Agent
 
-# Development setup
+## Development setup
 
 To start developing you need the following tools:
 
- * [uv](https://docs.astral.sh/uv/)
+- [uv](https://docs.astral.sh/uv/)
 
 To start, sync all the dependencies with `uv sync --all-groups`.
 Then, install the pre-commit hooks (`uv run pre-commit install`) to

pyproject.toml

@@ -22,6 +22,7 @@ dependencies = [
     "langchain-mcp-adapters>=0.1.1",
     "langchain-openai>=0.3.19",
     "langgraph>=0.4.7",
+    "markdown>=3.8",
     "openai>=1.84.0",
 ]
 

requirements-dev.txt

@@ -59,6 +59,7 @@ langgraph-prebuilt==0.2.2
 langgraph-sdk==0.1.70
 langsmith==0.3.43
 license-expression==30.4.1
+markdown==3.8
 markdown-it-py==3.0.0
 markupsafe==3.0.2
 mcp==1.9.0

requirements.txt

@@ -51,6 +51,7 @@ langgraph-checkpoint==2.0.26
 langgraph-prebuilt==0.2.2
 langgraph-sdk==0.1.70
 langsmith==0.3.43
+markdown==3.8
 markdown-it-py==3.0.0 ; sys_platform != 'emscripten'
 markupsafe==3.0.2
 mcp==1.9.0

tdagent/grchat.py

@@ -5,6 +5,7 @@ import enum
 import os
 from collections import OrderedDict
 from collections.abc import Mapping, Sequence
+from pathlib import Path
 from types import MappingProxyType
 from typing import TYPE_CHECKING, Any
 
@@ -13,6 +14,7 @@ import botocore
 import botocore.exceptions
 import gradio as gr
 import gradio.themes as gr_themes
+import markdown
 from langchain_aws import ChatBedrock
 from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
@@ -119,6 +121,8 @@ MODEL_OPTIONS = OrderedDict(  # Initialize with tuples to preserve options order
     ),
 )
 
+CONNECT_STATE_DEFAULT = gr.State()
+
 
 @dataclasses.dataclass
 class ToolInvocationInfo:
@@ -344,6 +348,7 @@ async def gr_connect_to_bedrock(  # noqa: PLR0913
 ) -> str:
     """Initialize Bedrock agent."""
     global llm_agent  # noqa: PLW0603
+    CONNECT_STATE_DEFAULT.value = True
 
     if not access_key or not secret_key:
         return "❌ Please provide both Access Key ID and Secret Access Key"
@@ -384,7 +389,7 @@ async def gr_connect_to_hf(
 ) -> str:
     """Initialize Hugging Face agent."""
     global llm_agent  # noqa: PLW0603
-
+    CONNECT_STATE_DEFAULT.value = True
     llm, error = create_hf_llm(
         model_id,
         hf_access_token_textbox,
@@ -420,6 +425,7 @@ async def gr_connect_to_azure(  # noqa: PLR0913
 ) -> str:
     """Initialize Hugging Face agent."""
     global llm_agent  # noqa: PLW0603
+    CONNECT_STATE_DEFAULT.value = True
 
     llm, error = create_azure_llm(
         model_id,
@@ -449,6 +455,7 @@ async def gr_connect_to_azure(  # noqa: PLR0913
 # ) -> str:
 #     """Initialize Hugging Face agent."""
 #     global llm_agent
+#     connected_state.value = True
 
 #     llm, error = create_openai_llm(model_id, nebius_access_token_textbox)
 
@@ -527,9 +534,31 @@ def _add_tools_trace_to_message(message: str) -> str:
     return f"{message}\n\n# Tools Trace\n\n" + "\n".join(traces)
 
 
-## UI components ##
+def _read_markdown_body_as_html(path: str = "README.md") -> str:
+    with Path(path).open(encoding="utf-8") as f:  # Default mode is "r"
+        lines = f.readlines()
+
+    # Skip YAML front matter if present
+    if lines and lines[0].strip() == "---":
+        for i in range(1, len(lines)):
+            if lines[i].strip() == "---":
+                lines = lines[i + 1 :]  # skip metadata block
+                break
+
+    markdown_body = "".join(lines).strip()
+    return markdown.markdown(markdown_body)
 
 
+## UI components ##
+custom_css = """
+.main-header {
+    background: linear-gradient(135deg, #00a388 0%, #ffae00 100%);
+    padding: 30px;
+    border-radius: 5px;
+    margin-bottom: 20px;
+    text-align: center;
+}
+"""
 with (
     gr.Blocks(
         theme=gr_themes.Origin(
@@ -538,162 +567,196 @@ with (
             font="sans-serif",
         ),
         title="TDAgent",
+        fill_height=True,
+        fill_width=True,
+        css=custom_css,
     ) as gr_app,
-    gr.Row(),
 ):
-    with gr.Column(scale=1):
-        with gr.Accordion("🔌  MCP Servers", open=False):
-            mcp_list = MutableCheckBoxGroup(
-                values=[
-                    MutableCheckBoxGroupEntry(
-                        name="TDAgent tools",
-                        value="https://agents-mcp-hackathon-tdagenttools.hf.space/gradio_api/mcp/sse",
-                    ),
-                ],
-                label="MCP Servers",
-                new_value_label="MCP endpoint",
-                new_name_label="MCP endpoint name",
-                new_value_placeholder="https://my-cool-mcp-server.com/mcp/sse",
-                new_name_placeholder="Swiss army knife of MCPs",
-            )
-
-        with gr.Accordion("⚙️  Provider Configuration", open=True):
-            model_provider = gr.Dropdown(
-                choices=list(MODEL_OPTIONS.keys()),
-                value=None,
-                label="Select Model Provider",
-            )
-
-            ## Amazon Bedrock Configuration ##
-            with gr.Group(visible=False) as aws_bedrock_conf_group:
-                aws_access_key_textbox = gr.Textbox(
-                    label="AWS Access Key ID",
-                    type="password",
-                    placeholder="Enter your AWS Access Key ID",
-                )
-                aws_secret_key_textbox = gr.Textbox(
-                    label="AWS Secret Access Key",
-                    type="password",
-                    placeholder="Enter your AWS Secret Access Key",
+    gr.HTML(
+        """
+    <div class="main-header">
+        <h1>👩‍💻 TDAgentTools & TDAgent 👨‍💻</h1>
+        <p style="font-size: 1.2em; margin: 10px 0 0 0;">
+            Empowering Cybersecurity with Agentic AI
+        </p>
+    </div>
+    """,
+    )
+    with gr.Tabs():
+        with gr.TabItem("About"), gr.Row():
+            html_content = _read_markdown_body_as_html("README.md")
+            gr.Markdown(html_content)
+
+        with gr.TabItem("TDAgent"), gr.Row():
+            with gr.Column(scale=1):
+                with gr.Accordion("🔌  MCP Servers", open=False):
+                    mcp_list = MutableCheckBoxGroup(
+                        values=[
+                            MutableCheckBoxGroupEntry(
+                                name="TDAgent tools",
+                                value="https://agents-mcp-hackathon-tdagenttools.hf.space/gradio_api/mcp/sse",
+                            ),
+                        ],
+                        label="MCP Servers",
+                        new_value_label="MCP endpoint",
+                        new_name_label="MCP endpoint name",
+                        new_value_placeholder="https://my-cool-mcp-server.com/mcp/sse",
+                        new_name_placeholder="Swiss army knife of MCPs",
+                    )
+
+                with gr.Accordion("⚙️  Provider Configuration", open=True):
+                    model_provider = gr.Dropdown(
+                        choices=list(MODEL_OPTIONS.keys()),
+                        value=None,
+                        label="Select Model Provider",
+                    )
+
+                    ## Amazon Bedrock Configuration ##
+                    with gr.Group(visible=False) as aws_bedrock_conf_group:
+                        aws_access_key_textbox = gr.Textbox(
+                            label="AWS Access Key ID",
+                            type="password",
+                            placeholder="Enter your AWS Access Key ID",
+                        )
+                        aws_secret_key_textbox = gr.Textbox(
+                            label="AWS Secret Access Key",
+                            type="password",
+                            placeholder="Enter your AWS Secret Access Key",
+                        )
+                        aws_region_dropdown = gr.Dropdown(
+                            label="AWS Region",
+                            choices=[
+                                "us-east-1",
+                                "us-west-2",
+                                "eu-west-1",
+                                "eu-central-1",
+                                "ap-southeast-1",
+                            ],
+                            value="eu-west-1",
+                        )
+                        aws_session_token_textbox = gr.Textbox(
+                            label="AWS Session Token",
+                            type="password",
+                            placeholder="Enter your AWS session token",
+                        )
+
+                    ## Huggingface Configuration ##
+                    with gr.Group(visible=False) as hf_conf_group:
+                        hf_token = gr.Textbox(
+                            label="HuggingFace Token",
+                            type="password",
+                            placeholder="Enter your Hugging Face Access Token",
+                        )
+
+                    ## Azure Configuration ##
+                    with gr.Group(visible=False) as azure_conf_group:
+                        azure_endpoint = gr.Textbox(
+                            label="Azure OpenAI Endpoint",
+                            type="text",
+                            placeholder="Enter your Azure OpenAI Endpoint",
+                        )
+                        azure_api_token = gr.Textbox(
+                            label="Azure Access Token",
+                            type="password",
+                            placeholder="Enter your Azure OpenAI Access Token",
+                        )
+                        azure_api_version = gr.Textbox(
+                            label="Azure OpenAI API Version",
+                            type="text",
+                            placeholder="Enter your Azure OpenAI API Version",
+                            value="2024-12-01-preview",
+                        )
+
+                with gr.Accordion("🧠  Model Configuration", open=True):
+                    model_id_dropdown = gr.Dropdown(
+                        label="Select known model id or type your own below",
+                        choices=[],
+                        visible=False,
+                    )
+                    model_id_textbox = gr.Textbox(
+                        label="Model ID",
+                        type="text",
+                        placeholder="Enter the model ID",
+                        visible=False,
+                        interactive=True,
+                    )
+
+                    # Agent configuration options
+                    with gr.Group():
+                        agent_system_message_radio = gr.Radio(
+                            choices=list(AGENT_SYSTEM_MESSAGES.keys()),
+                            value=next(iter(AGENT_SYSTEM_MESSAGES.keys())),
+                            label="Agent type",
+                            info=(
+                                "Changes the system message to pre-condition the agent"
+                                " to act in a desired way."
+                            ),
+                        )
+                        agent_trace_tools_checkbox = gr.Checkbox(
+                            value=False,
+                            label="Trace tool calls",
+                            info=(
+                                "Add the invoked tools trace at the end of the"
+                                " message"
+                            ),
+                        )
+
+                    # Initialize the temperature and max tokens based on model specs
+                    temperature = gr.Slider(
+                        label="Temperature",
+                        minimum=0.0,
+                        maximum=1.0,
+                        value=0.8,
+                        step=0.1,
+                    )
+                    max_tokens = gr.Slider(
+                        label="Max Tokens",
+                        minimum=128,
+                        maximum=8192,
+                        value=2048,
+                        step=64,
+                    )
+
+                connect_aws_bedrock_btn = gr.Button(
+                    "🔌  Connect to Bedrock",
+                    variant="primary",
+                    visible=False,
                 )
-                aws_region_dropdown = gr.Dropdown(
-                    label="AWS Region",
-                    choices=[
-                        "us-east-1",
-                        "us-west-2",
-                        "eu-west-1",
-                        "eu-central-1",
-                        "ap-southeast-1",
-                    ],
-                    value="eu-west-1",
+                connect_hf_btn = gr.Button(
+                    "🔌  Connect to Huggingface 🤗",
+                    variant="primary",
+                    visible=False,
                 )
-                aws_session_token_textbox = gr.Textbox(
-                    label="AWS Session Token",
-                    type="password",
-                    placeholder="Enter your AWS session token",
+                connect_azure_btn = gr.Button(
+                    "🔌  Connect to Azure",
+                    variant="primary",
+                    visible=False,
                 )
 
-            ## Huggingface Configuration ##
-            with gr.Group(visible=False) as hf_conf_group:
-                hf_token = gr.Textbox(
-                    label="HuggingFace Token",
-                    type="password",
-                    placeholder="Enter your Hugging Face Access Token",
-                )
-
-            ## Azure Configuration ##
-            with gr.Group(visible=False) as azure_conf_group:
-                azure_endpoint = gr.Textbox(
-                    label="Azure OpenAI Endpoint",
-                    type="text",
-                    placeholder="Enter your Azure OpenAI Endpoint",
-                )
-                azure_api_token = gr.Textbox(
-                    label="Azure Access Token",
-                    type="password",
-                    placeholder="Enter your Azure OpenAI Access Token",
+                status_textbox = gr.Textbox(
+                    label="Connection Status",
+                    interactive=False,
                 )
-                azure_api_version = gr.Textbox(
-                    label="Azure OpenAI API Version",
-                    type="text",
-                    placeholder="Enter your Azure OpenAI API Version",
-                    value="2024-12-01-preview",
-                )
-
-        with gr.Accordion("🧠  Model Configuration", open=True):
-            model_id_dropdown = gr.Dropdown(
-                label="Select known model id or type your own below",
-                choices=[],
-                visible=False,
-            )
-            model_id_textbox = gr.Textbox(
-                label="Model ID",
-                type="text",
-                placeholder="Enter the model ID",
-                visible=False,
-                interactive=True,
-            )
 
-            # Agent configuration options
-            with gr.Group():
-                agent_system_message_radio = gr.Radio(
-                    choices=list(AGENT_SYSTEM_MESSAGES.keys()),
-                    value=next(iter(AGENT_SYSTEM_MESSAGES.keys())),
-                    label="Agent type",
-                    info=(
-                        "Changes the system message to pre-condition the agent"
-                        " to act in a desired way."
-                    ),
-                )
-                agent_trace_tools_checkbox = gr.Checkbox(
-                    value=False,
-                    label="Trace tool calls",
-                    info="Add the invoked tools trace at the end of the message",
+            with gr.Column(scale=2):
+                chat_interface = gr.ChatInterface(
+                    fn=gr_chat_function,
+                    type="messages",
+                    examples=[],  # Add examples if needed
+                    description="A simple threat analyst agent with MCP tools.",
                 )
-
-            # Initialize the temperature and max tokens based on model specifications
-            temperature = gr.Slider(
-                label="Temperature",
-                minimum=0.0,
-                maximum=1.0,
-                value=0.8,
-                step=0.1,
+        with gr.TabItem("Demo"):
+            gr.Markdown(
+                """
+            This is a demo of TDAgent, a simple threat analyst agent with MCP tools.
+            You can configure the agent to use different LLM providers and connect to
+            various MCP servers to access tools.
+            """,
             )
-            max_tokens = gr.Slider(
-                label="Max Tokens",
-                minimum=128,
-                maximum=8192,
-                value=2048,
-                step=64,
+            gr.HTML(
+                """<iframe width="560" height="315" src="https://youtu.be/C6Z9EOW-3lE?feature=shared" frameborder="0" allowfullscreen></iframe>""",  # noqa: E501
             )
 
-        connect_aws_bedrock_btn = gr.Button(
-            "🔌  Connect to Bedrock",
-            variant="primary",
-            visible=False,
-        )
-        connect_hf_btn = gr.Button(
-            "🔌  Connect to Huggingface 🤗",
-            variant="primary",
-            visible=False,
-        )
-        connect_azure_btn = gr.Button(
-            "🔌  Connect to Azure",
-            variant="primary",
-            visible=False,
-        )
-
-        status_textbox = gr.Textbox(label="Connection Status", interactive=False)
-
-    with gr.Column(scale=2):
-        chat_interface = gr.ChatInterface(
-            fn=gr_chat_function,
-            type="messages",
-            examples=[],  # Add examples if needed
-            title="👩‍💻 TDAgent 👨‍💻",
-            description="A simple threat analyst agent with MCP tools.",
-        )
-
     ## UI Events ##
 
     def _toggle_model_choices_ui(
@@ -728,6 +791,18 @@ with (
         is_azure = provider == "Azure OpenAI"
         return gr.update(visible=is_azure), gr.update(visible=is_azure)
 
+    # Initialize a flag to check if connected
+
+    def _on_change_model_configuration(*args: str) -> Any:  # noqa: ARG001
+        # If model configuration changes after connecting, issue a warning
+        if CONNECT_STATE_DEFAULT.value:
+            CONNECT_STATE_DEFAULT.value = False  # Reset the state
+            return gr.Warning(
+                "When changing model configuration, you need to reconnect.",
+                duration=5,
+            )
+        return gr.update()
+
     ## Connect Event Listeners ##
 
     model_provider.change(
@@ -810,6 +885,14 @@ with (
         inputs=[model_id_dropdown, model_provider],
         outputs=[model_id_textbox],
     )
+    model_provider.change(
+        _on_change_model_configuration,
+        inputs=[model_provider],
+    )
+    model_id_dropdown.change(
+        _on_change_model_configuration,
+        inputs=[model_id_dropdown, model_provider],
+    )
 
 ## Entry Point ##
 

uv.lock

@@ -1148,6 +1148,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/53/84/8a89614b2e7eeeaf0a68a4046d6cfaea4544c8619ea02595ebeec9b2bae3/license_expression-30.4.1-py3-none-any.whl", hash = "sha256:679646bc3261a17690494a3e1cada446e5ee342dbd87dcfa4a0c24cc5dce13ee", size = 111457, upload-time = "2025-01-14T05:11:38.658Z" },
 ]
 
+[[package]]
+name = "markdown"
+version = "3.8"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/2f/15/222b423b0b88689c266d9eac4e61396fe2cc53464459d6a37618ac863b24/markdown-3.8.tar.gz", hash = "sha256:7df81e63f0df5c4b24b7d156eb81e4690595239b7d70937d0409f1b0de319c6f", size = 360906, upload-time = "2025-04-11T14:42:50.928Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/51/3f/afe76f8e2246ffbc867440cbcf90525264df0e658f8a5ca1f872b3f6192a/markdown-3.8-py3-none-any.whl", hash = "sha256:794a929b79c5af141ef5ab0f2f642d0f7b1872981250230e72682346f7cc90dc", size = 106210, upload-time = "2025-04-11T14:42:49.178Z" },
+]
+
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
@@ -2869,6 +2878,7 @@ dependencies = [
     { name = "langchain-mcp-adapters" },
     { name = "langchain-openai" },
     { name = "langgraph" },
+    { name = "markdown" },
     { name = "openai" },
 ]
 
@@ -2897,6 +2907,7 @@ requires-dist = [
     { name = "langchain-mcp-adapters", specifier = ">=0.1.1" },
     { name = "langchain-openai", specifier = ">=0.3.19" },
     { name = "langgraph", specifier = ">=0.4.7" },
+    { name = "markdown", specifier = ">=3.8" },
     { name = "openai", specifier = ">=1.84.0" },
 ]