feat: Implement Trillium notes executor for searching and creating notes via ETAPI
- 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.
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cortex/autonomy/tools/adapters/llamacpp_adapter.py
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cortex/autonomy/tools/adapters/llamacpp_adapter.py
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"""
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llama.cpp adapter for tool calling.
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Since llama.cpp has similar constraints to Ollama (no native function calling),
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this adapter reuses the XML-based approach from OllamaAdapter.
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"""
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from .ollama_adapter import OllamaAdapter
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class LlamaCppAdapter(OllamaAdapter):
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"""llama.cpp adapter - uses same XML approach as Ollama.
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llama.cpp doesn't have native function calling support, so we use
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the same XML-based prompt engineering approach as Ollama.
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"""
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pass
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