Files
Maven/cmd/mavend/memoryeval.go
T
kami a103708a08 memeval: five minutes again, now that the gate keeps a turn from waiting
The budget was cut to 60s because a five-minute evaluation held the single
llama-server slot, and a voice turn arriving mid-evaluation waited behind it.
That collision is now solved where it belongs: the background client yields the
slot while a turn is in flight.

With the gate in place the short budget only truncates a Thinking model
mid-synthesis, which costs an observation and saves no latency on any real turn.
Kami's call, 2026-08-02.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BFaeSbLMEVG5ey8tejU3y2
2026-08-02 02:16:45 +04:00

102 lines
3.9 KiB
Go

// mavend/memoryeval.go — the driver for background memory evaluation
// (Vikunja #248). The evaluator itself is pure-ish and lives in
// internal/memeval; this is the one impure part: a ticker, the store, and the
// resident model's base URL.
//
// It is its own goroutine and NOT a step on the main tick, deliberately. The
// tick runs every 60s and has a delivery deadline behind it; an evaluation is
// a multi-second LLM round-trip on the same llama-server that answers voice
// turns, and it happens hourly at most. Bolting it onto the tick would make
// every hour's tick the slow one for no benefit.
package main
import (
"context"
"log"
"time"
"github.com/kami/maven/internal/config"
"github.com/kami/maven/internal/memeval"
"github.com/kami/maven/internal/phraser"
"github.com/kami/maven/internal/store"
)
// memoryEvalTimeout — the per-request deadline on one evaluation.
//
// It used to be five minutes, on the grounds that nobody waits for the answer.
// Nobody waits for the evaluation, but there is ONE resident model behind one
// llama-server, so a voice turn arriving mid-evaluation waited behind it: five
// minutes of evaluation was five minutes of a mute assistant.
//
// The background client now yields the slot while a turn is in flight, so the
// collision is solved where it belongs and this is a prompt budget again. Five
// minutes is safe once more, and it is back: 60s truncated a Thinking model
// mid-synthesis, which costs an observation for no latency saved. The gate, not
// this number, is what keeps a voice turn from waiting.
const memoryEvalTimeout = 5 * time.Minute
// memoryEvalWorker — ticker + evaluator.
type memoryEvalWorker struct {
eval *memeval.Evaluator
interval time.Duration
}
// newMemoryEvalWorker wires the evaluation loop, or returns nil when it should
// not run at all. nil is the normal case and every caller must handle it:
//
// - no memory_eval config block ⇒ off (a capability is off unless configured);
// - no LLM phraser ⇒ nothing to evaluate with. There is no template fallback
// here on purpose: a "memory evaluation" assembled from string templates
// would be a fixed sentence pretending to be an observation.
func newMemoryEvalWorker(st *store.Store, phr phraser.Phraser, cfg *config.Config) *memoryEvalWorker {
if cfg.MemoryEval == nil {
return nil
}
lp, ok := phr.(*phraser.LLMPhraser)
if !ok {
log.Printf("memory eval: configured but no llama-server phraser — evaluation disabled")
return nil
}
interval := time.Duration(cfg.MemoryEval.Interval)
if interval <= 0 {
interval = config.DefaultMemoryEvalInterval
}
// Background: nobody is waiting on an observation, and it must not sit in
// front of a voice turn on the single llama-server slot.
client := llmBackgroundClientFor(lp, memoryEvalTimeout)
ev := memeval.NewEvaluator(st, st, client, memeval.Config{
MaxItems: cfg.MemoryEval.MaxItems,
MinConfidence: cfg.MemoryEval.MinConfidence,
ContextBlock: contextBlockFn(cfg, time.Now),
})
log.Printf("memory eval: enabled, every %s", interval)
return &memoryEvalWorker{eval: ev, interval: interval}
}
// run evaluates every interval until ctx is canceled.
//
// The first evaluation waits a full interval rather than firing at startup, the
// opposite of the tick loop's cold-start behaviour. A tick that fires late is a
// nudge that arrives late; an evaluation that fires late is nothing at all, and
// the alternative is a heavy LLM call competing with startup — including with
// the first voice turn after a restart.
func (w *memoryEvalWorker) run(ctx context.Context) {
ticker := time.NewTicker(w.interval)
defer ticker.Stop()
for {
select {
case <-ctx.Done():
return
case now := <-ticker.C:
obs, err := w.eval.Evaluate(ctx, now)
if err != nil {
log.Printf("memory eval: %v", err)
continue
}
for _, o := range obs {
log.Printf("memory eval: noted (%.2f, %s): %s", o.Conf, o.Action, o.Text)
}
}
}
}