ce45592730
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>
88 lines
2.3 KiB
Go
88 lines
2.3 KiB
Go
// internal/skills/spec/handlers.go
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package spec
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import (
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"context"
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"encoding/json"
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"fmt"
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"time"
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"github.com/mathiasbq/supervisor/internal/brain"
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"github.com/mathiasbq/supervisor/internal/session"
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)
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type specArgs struct {
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ProjectRoot string `json:"project_root"`
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Requirements string `json:"requirements"`
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OutputPath string `json:"output_path"`
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Context string `json:"context"`
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Model string `json:"model"`
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SessionID string `json:"session_id"`
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}
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// Handle dispatches the MCP tool call to the appropriate handler.
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func (s *Skill) Handle(ctx context.Context, tool string, args json.RawMessage) (json.RawMessage, error) {
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if tool != "spec" {
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return nil, fmt.Errorf("unknown tool: %s", tool)
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}
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var a specArgs
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if err := json.Unmarshal(args, &a); err != nil {
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return nil, fmt.Errorf("parse args: %w", err)
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}
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if a.ProjectRoot == "" {
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return nil, fmt.Errorf("project_root is required")
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}
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if a.Requirements == "" {
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return nil, fmt.Errorf("requirements is required")
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}
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outputPath := a.OutputPath
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if outputPath == "" {
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outputPath = "docs/spec.md"
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}
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model := a.Model
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if model == "" {
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model = s.cfg.DefaultModel
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}
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brainCtx, _ := brain.Query(ctx, s.cfg.IngestBaseURL, a.Requirements+" "+a.Context, 3)
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task := fmt.Sprintf(
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"phase: spec\nproject_root: %s\nrequirements: %s\noutput_path: %s\ncontext: %s\nmodel: %s",
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a.ProjectRoot, a.Requirements, outputPath, a.Context, model,
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)
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task = session.PrependHistory(s.cfg.SessionsDir, a.SessionID, "spec", task)
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if brainCtx != "" {
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task = brainCtx + "\n---\n\n" + task
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}
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if s.cfg.CompleteFunc == nil {
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return nil, fmt.Errorf("no executor configured")
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}
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t0 := time.Now()
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text, dur, err := s.cfg.CompleteFunc(ctx, model, s.cfg.SkillPrompt, task)
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if err != nil {
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return nil, err
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}
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if a.SessionID != "" && s.cfg.SessionsDir != "" {
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msg := text
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if len(msg) > 200 {
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msg = msg[:200]
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}
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_ = session.Append(s.cfg.SessionsDir, a.SessionID, session.Entry{
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SessionID: a.SessionID,
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Timestamp: time.Now(),
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Skill: "spec",
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Phase: "spec",
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ProjectRoot: a.ProjectRoot,
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FinalStatus: "ok",
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ModelUsed: model,
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DurationMs: time.Since(t0).Milliseconds(),
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Message: msg,
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})
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}
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return json.Marshal(map[string]any{"text": text, "model": model, "duration_ms": dur})
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}
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