Configure via ai.prompt.user_template in config.json using {text}, {full_name},
{user_id}, {first_name}, {last_name}, {username} placeholders. Applied to both
history user messages and the current prompt. No-op when unset.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- AIService.generate() now runs an agentic loop: sends tools to the API,
handles tool_calls responses, executes tools, appends results, and repeats
until a text response (up to tool_max_rounds, default 10)
- New app/ai/tools.py: six sandboxed file tools (write/read/create/modify/delete/list),
OpenAI JSON schemas, path sandbox validator, and MCP→OpenAI schema converter
- Paths are sandboxed to workspace/ (project root) and prompts/ai/; traversal blocked
- MinimaxImageUnderstandClient gains list_tools() and call_tool() methods; MCP tool
schemas are lazily fetched once per session and forwarded to the AI as callable tools
- AIConfig gains workspace_dir (Path, default workspace/) and tool_max_rounds (int, default 10)
- MCP client opened lazily only when an MCP tool is actually called during a loop
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Some providers (e.g. Ollama) may return response bytes that aren't valid
UTF-8. json.loads() raises UnicodeDecodeError in that case. Add an httpx
response event hook that replaces invalid bytes before the SDK parses the
response body.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
