claude
19242ef73b
Every clarify turn said one sentence per gap, and a re-ask repeated it word for word. A question he already failed to answer is the worst one to ask again unchanged: the second wording is what tells him which part she missed. clarifytemplates.go holds three wordings per slot, picked by attempt rather than at random — short first, then naming the gap, then spelling it out with an example. Past the end she keeps the most explicit one instead of wrapping back to the short question he has already not answered. The intents with nothing identifiable to ask about (note, query, chat, system) kept the stub's single "не совсем поняла — можешь переформулировать?", which is the line he hears whenever she misses him completely. Four wordings now, picked by a hash of the utterance so one question asked twice reads the same and two different misses do not. Still no model call on this path: the resident model would wander, and this text has to be right every time. No schema_version either, unlike the nudge templates — these are Go constants, so no file can drift out of step with the code that reads it. The persona test already in clarify_test.go covers the new lines. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
40 lines
1.3 KiB
Go
40 lines
1.3 KiB
Go
package main
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import (
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"context"
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"github.com/kami/maven/internal/phraser"
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"github.com/kami/maven/internal/router"
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"github.com/kami/maven/internal/voice"
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)
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// llmReplier is the daemon-side wiring around phraser.Replier: it owns the
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// deterministic floor, and nothing else. The phrasing itself, the prompt and the
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// output parsing live in internal/phraser so the eval can score them (#396).
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type llmReplier struct {
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p *phraser.Replier
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stub *voice.StubReplier
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}
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func newLLMReplier(c phraser.Completer, block func() string) *llmReplier {
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return &llmReplier{p: phraser.NewReplier(c, block), stub: voice.NewStubReplier()}
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}
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// Reply never fails: a clarify, a model error and an unusable generation all
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// answer from the stub, which is what keeps a turn from breaking on the model.
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func (r *llmReplier) Reply(d router.Decision) string {
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if d.Clarify {
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// The deck, not the stub's single sentence: a clarify she cannot turn
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// into a question is the line he hears most often when she misses him,
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// and it used to be the same words every time (Vikunja #457). Still no
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// model call — this text has to be right every time, and it is not worth
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// a generation to say something this small.
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return clarifyMissedLine(d)
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}
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out, err := r.p.PhraseReply(context.Background(), d)
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if err != nil || out == "" {
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return r.stub.Reply(d)
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}
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return out
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}
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