Adds `llm.thinking` config option (default: true) that when disabled:
- Injects /no_think into the last user message for Qwen 3.x compatibility
- Sends chat_template_kwargs in API payload for backends that support it
- Silently and immediately nudges on reasoning-only responses instead of
showing warnings and wasting retry iterations
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add a skill package system where each skill is a directory with a skill.yaml
manifest and prompt markdown files. Skills support /command triggers, scoped
config overrides (temperature, max_tokens, tool filtering), chain dependencies
with cycle-safe resolution, and a finish_skill completion signal.
Includes four built-in skills: explore, brainstorm, write-document, and plan.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Assistant message panels now use Markdown() instead of raw strings, so
bold/italic/lists render properly. Also nudge the model immediately after
tool errors instead of wasting 2 retry iterations in reasoning-only mode.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The streaming widget shows content during streaming then hides on
completion, but nobody was writing the final response to the RichLog.
The assistant message flashed briefly then disappeared.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implement 6 new agent tools — write_file, make_dir, delete_file,
str_replace, patch_apply, run_command — bringing the agent from
read-only observer to active code modifier. All write/shell operations
are gated through the existing permissions service.
Also fix a bug where qwen3.5 thinking mode produces reasoning tokens
but no content after tool results, causing the agent to silently exit.
The loop now detects reasoning-only responses, retries twice, then
injects a nudge message to break the model out of its thinking loop.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
resolve_safe_path now detects when the LLM passes the workspace root as
a relative path (e.g. "home/user/project/file.py") and strips the prefix
before joining. Also updated the system prompt to explicitly instruct the
model to use relative paths for all tool arguments.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implement the core autonomy layer — AgentLoop streams LLM responses,
parses tool calls, executes them with permission checks, feeds results
back, and repeats until the task completes or finish is called.
- Add FinishTool for explicit loop termination
- Add tools parameter to LLMClient.stream_chat() for function calling
- Add compact tool result display (status line, not full output)
- Refactor REPL to delegate to AgentLoop.run_turn()
- Fix Ollama null content rejection (always send content as string)
- Add finish to auto_approve permissions
- 9 unit tests for agent loop (34 total, zero regressions)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
