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Update README.md

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@@ -48,9 +48,11 @@ TDAgentTools serves as an MCP server built using Gradio, offering a wide array o
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  11. **TDAgentTools_lookup_cloud_account**: Investigate cloud account information.
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  12. **TDAgentTools_send_email**: Simulate emailing from [email protected].
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  ### Track 3: Agentic Demo Showcase - TDAgent
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- TDAgent is an adaptive and interactive AI agent, available on TDAgentTools. 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. Explore it here: [TDAgent Space](https://huggingface.co/spaces/Agents-MCP-Hackathon/TDAgent).
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  #### Key Features:
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  - **Intelligent API Interactions**: The agent autonomously interacts with APIs for data enrichment and analysis without explicit user guidance.
@@ -79,7 +81,6 @@ We aimed to:
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  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!
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-
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  # TDA Agent
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  # Development setup
@@ -92,8 +93,3 @@ To start, sync all the dependencies with `uv sync --all-groups`.
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  Then, install the pre-commit hooks (`uv run pre-commit install`) to
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  ensure that future commits comply with the bare minimum to keep
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  code _readable_.
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-
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- ## Old content
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-
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- An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
 
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  11. **TDAgentTools_lookup_cloud_account**: Investigate cloud account information.
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  12. **TDAgentTools_send_email**: Simulate emailing from [email protected].
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+ > **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.
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+
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  ### Track 3: Agentic Demo Showcase - TDAgent
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+ 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).
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  #### Key Features:
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  - **Intelligent API Interactions**: The agent autonomously interacts with APIs for data enrichment and analysis without explicit user guidance.
 
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  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!
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  # TDA Agent
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  # Development setup
 
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  Then, install the pre-commit hooks (`uv run pre-commit install`) to
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  ensure that future commits comply with the bare minimum to keep
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  code _readable_.