refactor: replace orchestrator/verifier chain with direct LiteLLM calls
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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>
This commit is contained in:
Mathias Bergqvist
2026-04-22 16:19:09 +02:00
parent 823de23213
commit ce45592730
34 changed files with 266 additions and 1432 deletions

View File

@@ -5,20 +5,19 @@ import (
"context"
"encoding/json"
iexec "github.com/mathiasbq/supervisor/internal/exec"
"github.com/mathiasbq/supervisor/internal/registry"
)
// ExecutorFn is the function signature for running a worker subprocess.
type ExecutorFn func(ctx context.Context, req iexec.Request) (iexec.Result, error)
// CompleteFunc is the function used to call a local model.
type CompleteFunc func(ctx context.Context, model, system, user string) (string, int64, error)
// Config holds dependencies for the debug skill.
type Config struct {
SkillPrompt string
DefaultModel string
ExecutorFn ExecutorFn
CompleteFunc CompleteFunc
SessionsDir string
IngestBaseURL string // optional: base URL of ingestion server for brain context
IngestBaseURL string
}
// Skill implements the debug MCP tool.
@@ -40,7 +39,7 @@ func (s *Skill) Tools() []registry.ToolDef {
return []registry.ToolDef{
{
Name: "debug",
Description: "Analyse an error and return 3-5 hypotheses ordered by likelihood, each with a concrete verification step.",
Description: "Consult a local model to analyse an error and return hypotheses ordered by likelihood, each with a concrete verification step.",
InputSchema: schema(
[]string{"project_root", "error"},
map[string]any{