Refactor agent execution to use AgentRun with OpenAI-compatible API
Major refactoring to support isolated run objects with streaming, events, and OpenAI-compatible endpoints. ## Backend Changes - **Agent class**: Added `run()` method, `received_message()` wraps chat into AgentRun - **AgentRun class**: New class for run state with event system, serialization, and user tracking - **inference.py**: Complete refactor with `build_messages()`, `chat_completion()`, tool support for llama-cpp/ollama/replicate - **tools.py**: New centralized tool management (ToolSpec, ToolParameter, format_tools_for_engine) - **tools.py**: Removed legacy Toolset/Action/ToolDescription system - **server.py**: Added OpenAI-compatible `/api/openai/v1/chat/completions` endpoint with streaming support - **temporary.py**: Added `self.runs` dict to State class - **expert.py**: Refactored to use new Agent.run() signature - **scripted.py**: Updated to raise NotImplementedError ## Frontend Changes - **backend.js**: Added `onRunEvents()` for run event subscriptions - **Sidebar.vue**: Added runs navigation mode - **router/index.js**: Renamed User route to RunsView - **RunsView.vue**: New view for listing/monitoring agent runs ## Breaking Changes - Agent `prompt()` signature changed: `(instruction, input=None, **kwargs)` instead of `(content)` - Agent `received_message()` must use AgentRun pattern - Tools.py removed, functionality moved to tool.py - Deprecated tool prompt/action system removed
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# Automated Workflow
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idea.md
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plan.md
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progress.md
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