Drop the three-layer Claude subprocess orchestration (local model →
Claude verifier → cloud escalation). Skills now call LiteLLM directly
and return plain text to Claude Code, which decides what to do with it.
- Delete executor, orchestrator, verifier, result, attempts packages
- Simplify LiteLLMExecutor: Run(Request)→Result becomes Complete(model,sys,user)→(string,int64,error)
- Replace ExecutorFn with CompleteFunc in all 6 skill configs
- Rewrite all skill handlers to call Complete and return {"text","model","duration_ms"}
- Simplify config/models: remove Verifier/LlamaSwapURL, add ModelFor
- Bump version to v0.5.0
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
gitea.d-ma.be:30022 is refused externally — the NodePort is only
reachable on koala locally. Use HostName 127.0.0.1 in SSH config
so git@gitea.d-ma.be connects to localhost:30022 instead.
Unindented heredoc content inside a YAML literal block breaks parsing.
Gitea silently drops workflows with YAML errors, causing the CD job
to never trigger.
gitea.d-ma.be port 22 is rejected (NPM only proxies HTTP/HTTPS).
The runner runs on koala where the Gitea SSH NodePort 30022 is
reachable locally. Use SSH config override instead of ssh-keyscan.
buildOrch now returns a closure instead of *Orchestrator. Each invocation
calls models.ChainFor(skill, req.Model) so a non-empty caller override
collapses to a single-entry chain (no escalation). The attempts slice is
also allocated fresh per call, preventing unbounded growth across requests.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Each skill now gets its own Orchestrator built from its ChainFor entry,
with LiteLLM for local tiers and Claude for cloud tiers. Removes the
defunct models.Resolve calls and single shared executor.Run pattern.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements escalation chains per skill with three-layer priority:
1. Caller override (model param) — no escalation
2. Per-skill chain from models.yaml
3. default_chain fallback
New APIs:
- Verifier() — fixed verifier for output validation
- LlamaSwapURL() — base URL for warm-state probing
- ChainFor(skill, override) — ordered model list for escalation
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Reader agent scans session logs for SFT/DPO candidates; writer receives
reader output and formats+writes training pairs to brain/training-data/.
Adds trainer-reader.md and trainer-writer.md discipline prompts.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds the spec skill that generates structured implementation specs from
requirements and writes them to a configurable output path in the project.
Follows the same pattern as review/debug skills with session history injection.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements the debug skill following the same pattern as review. The skill
accepts project_root + error (+ optional context/model/session_id), prepends
session history, and calls the executor to produce 3-5 ordered hypotheses —
diagnosis only, no fixes.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
