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>
50 lines
1.0 KiB
Go
50 lines
1.0 KiB
Go
package config
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import (
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"fmt"
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"os"
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"gopkg.in/yaml.v3"
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)
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type skillChain struct {
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Chain []string `yaml:"chain"`
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}
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type modelsFile struct {
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DefaultChain []string `yaml:"default_chain"`
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Skills map[string]skillChain `yaml:"skills"`
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}
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type Models struct {
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data modelsFile
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}
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func LoadModels(path string) (Models, error) {
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raw, err := os.ReadFile(path)
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if err != nil {
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return Models{}, fmt.Errorf("load models: %w", err)
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}
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var f modelsFile
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if err := yaml.Unmarshal(raw, &f); err != nil {
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return Models{}, fmt.Errorf("parse models: %w", err)
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}
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return Models{data: f}, nil
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}
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// ModelFor returns the primary model to use for a skill.
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// If override is non-empty, it is returned directly.
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// Falls back to default_chain[0] when the skill has no explicit entry.
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func (m Models) ModelFor(skill, override string) string {
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if override != "" {
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return override
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}
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if sc, ok := m.data.Skills[skill]; ok && len(sc.Chain) > 0 {
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return sc.Chain[0]
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}
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if len(m.data.DefaultChain) > 0 {
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return m.data.DefaultChain[0]
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}
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return ""
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}
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