Bug 1: Assistant text content was silently dropped when the LLM response
included both content and tool calls (e.g. finish with a summary). Now
content is displayed before tool call execution regardless.
Bug 2: Shell redirect operators (>, >>, <<) allowed bypassing file-write
permissions when the base command (e.g. cat) was in the allowed list.
Redirects now require explicit user approval in permissions, and the
shell tool itself blocks them as defense-in-depth.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
Allows passing arbitrary parameters (e.g., enable_thinking, reasoning_effort)
to the LLM API request body via config.yaml, solving reasoning-only response
loops with models like Qwen 3.x without requiring code changes per model.
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>
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>
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>
Wire the REPL to a local Ollama instance via streaming HTTP (SSE).
LLMClient handles async streaming chat, StreamHandler renders live
Markdown via Rich and accumulates tool call fragments. Startup now
runs a preflight check that verifies Ollama is reachable and the
configured model is pulled, exiting with a clear message on failure.
Also adds .gitignore and updates config to use qwen3.5.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
