Previously respond() accepted files but silently dropped them.
Now when files are attached:
- Images are base64-encoded as image_url content parts
- Text files are read and inlined as text content parts
- The last user message is converted to multipart format
Follows the same encoding pattern used in tools/image.py.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove unused modules that were never called at startup:
- cheddahbot/skills/__init__.py (dead @skill decorator system)
- cheddahbot/providers/__init__.py (empty placeholder)
- cheddahbot/tools/build_skill.py (depends on dead skills system)
- cheddahbot/tools/build_tool.py (security risk: generates arbitrary Python)
Also fix all pre-existing ruff lint errors across the codebase:
- Fix import sorting, unused imports, line length violations
- Fix type comparisons (use `is` instead of `==`)
- Fix implicit Optional types (dict -> dict | None)
- Fix unused variables, ambiguous variable names
- Apply ruff format for consistent style
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implements write_press_releases tool that generates 7 headlines via chat
brain, AI-judges the best 2, writes 2 full press releases via execution
brain, and generates JSON-LD schemas via Sonnet with WebSearch. Saves all
output files to data/generated/press_releases/.
Also adds tools/model pass-through in agent and LLM layers, fixes Windows
command line length limit by piping prompts via stdin, and updates model
references to current versions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Agent: deduplicate tool calls across iterations, reduce max iterations
10→5, add system prompt instructions to prevent re-calling tools
- Router: preserve tool name in history messages, add anti-loop and
delegate_task instructions to system prompt
- Memory: auto_flush now deletes flushed messages from DB so conversations
don't get re-summarized repeatedly, skip tool results in summaries
- DB: add delete_messages() method, include message id in get_messages()
- Scheduler: stop logging routine heartbeat checks to daily log
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Chat brain uses OpenAI-compatible APIs (OpenRouter/Ollama/LM Studio) for
all UI conversations, giving full control over system prompts so the
Cheddah personality works correctly. Execution brain uses Claude Code CLI
for heartbeat, scheduled tasks, and delegated system-level work.
- Split llm.py: chat() routes through OpenAI-compat only, new execute()
calls Claude CLI with Bash/Read/Edit/Write/Glob/Grep tools
- Add chat_model config field (default: openai/gpt-4o-mini)
- Add delegate_task tool bridging chat brain to execution brain
- Scheduler/heartbeat now use execute_task() for real CLI power
- UI dropdown shows chat-only models with custom value support
- Updated model list to current OpenRouter top models (Feb 2026)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Multi-model AI assistant with Gradio UI, persistent memory, 15+ tools,
and meta-tools for runtime tool creation. Routes Claude models through
Claude Code SDK (Max subscription), cloud models through OpenRouter,
and local models through Ollama/LM Studio.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
PeninsulaInd