64429b19e6
- Added `trillium.py` for searching and creating notes with Trillium's ETAPI. - Implemented `search_notes` and `create_note` functions with appropriate error handling and validation. feat: Add web search functionality using DuckDuckGo - Introduced `web_search.py` for performing web searches without API keys. - Implemented `search_web` function with result handling and validation. feat: Create provider-agnostic function caller for iterative tool calling - Developed `function_caller.py` to manage LLM interactions with tools. - Implemented iterative calling logic with error handling and tool execution. feat: Establish a tool registry for managing available tools - Created `registry.py` to define and manage tool availability and execution. - Integrated feature flags for enabling/disabling tools based on environment variables. feat: Implement event streaming for tool calling processes - Added `stream_events.py` to manage Server-Sent Events (SSE) for tool calling. - Enabled real-time updates during tool execution for enhanced user experience. test: Add tests for tool calling system components - Created `test_tools.py` to validate functionality of code execution, web search, and tool registry. - Implemented asynchronous tests to ensure proper execution and result handling. chore: Add Dockerfile for sandbox environment setup - Created `Dockerfile` to set up a Python environment with necessary dependencies for code execution. chore: Add debug regex script for testing XML parsing - Introduced `debug_regex.py` to validate regex patterns against XML tool calls. chore: Add HTML template for displaying thinking stream events - Created `test_thinking_stream.html` for visualizing tool calling events in a user-friendly format. test: Add tests for OllamaAdapter XML parsing - Developed `test_ollama_parser.py` to validate XML parsing with various test cases, including malformed XML.
16 lines
492 B
Docker
16 lines
492 B
Docker
FROM python:3.11-slim
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WORKDIR /app
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# Install docker CLI for code executor
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RUN apt-get update && apt-get install -y \
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docker.io \
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&& rm -rf /var/lib/apt/lists/*
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COPY requirements.txt .
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RUN pip install -r requirements.txt
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COPY . .
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EXPOSE 7081
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# NOTE: Running with single worker to maintain SESSIONS global state in Intake.
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# If scaling to multiple workers, migrate SESSIONS to Redis or shared storage.
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7081"]
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