Files
Maven/internal/router/eval/llmrouter_test.go
T
kami 46259b4571 Score the LLM router on Qwen3.5-0.8B against the routing fixture (#319)
Completes #319's comparison. Three configurations, because "the LLM router"
was ambiguous: the model alone, the cascade #320 would actually ship (stage-0
grammar → model → classifier floor), and a thinking-off diagnostic.

                      intent-only  full    RU     missed-clarify  p50
  classifier+onnx     36.8%        36.8%   25/61  5/6             31ms
  llm-only (0.8B)     48.7%        23.7%   13/61  6/6             850ms
  cascade+llm (0.8B)  50.0%        32.9%   18/61  6/6             825ms

On the question asked — does the resident model route better? — yes, 50.0%
vs 36.8% intent accuracy. REARCH.md's premise holds. It costs 27x the
latency (p50 825ms vs 31ms, max 3.1s), on the same llama-server the phraser
needs, so it is a trade rather than a free win.

Three things the numbers surface that the headline hides:

query→fact x15 is the dominant failure, four times the classifier's x4 on
the same axis. routeSystem's decision order puts "сообщает или обновляет
состояние" (rule 3) above "хочет получить информацию" (rule 4), so any
utterance naming a fact key matches the earlier rule and a question about
past state reads as an assertion of it. A prompt fix, not a model limit.

The LLM router cannot clarify: llmrouter.go hardcodes Confidence 1.0, so
stage 3's gate can never fire on its decisions — 6/6 missed. With #359's
finding that the classifier's gate is miscalibrated under ONNX, neither path
currently refuses. Flipping #320 as-is removes the refusal lane.

The gap between 50.0% intent and 32.9% full accuracy is entirely slots: the
LLM path fills neither Fn nor Time (it returns Slots.Text for acts, and
Extract never runs on an LLM decision).

Also settles a hypothesis rather than leaving it in the air: thinking mode is
a non-issue under a grammar (identical score), and the grammar's unbounded
("," ws action)* repetition that ran away in an isolated smoke test does not
reproduce under the real prompt — 2 errors in 76, not 76. internal/llm
deliberately does not grow a chat_template_kwargs field.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01X5JApcrCRVGmqrxnhynSik
2026-07-31 00:50:20 +04:00

208 lines
7.0 KiB
Go

package eval
import (
"bytes"
"context"
"encoding/json"
"fmt"
"net/http"
"os"
"strings"
"testing"
"time"
"github.com/kami/maven/internal/llm"
"github.com/kami/maven/internal/router"
)
// TestLLMRouterBaseline — the other half of Vikunja #319: the resident model as
// route decider, scored on the same 76 held-out cases as the classifier, so the
// #320 flip is a comparison and not a preference.
//
// Opt-in against a running llama-server:
//
// llama-server -m /mnt/hdd1/llms/qwen3.5/Qwen3.5-0.8B.Q4_K_M.gguf \
// --host 127.0.0.1 --port 18099 -c 2048 -ngl 99
// MAVEN_LLM_URL=http://127.0.0.1:18099 make eval-router
//
// Three configurations, because "the LLM router" is ambiguous and the three
// numbers answer different questions:
//
// llm-only — the model alone. Measures the prompt + grammar contract.
// cascade+llm — what #320 would actually ship: stage-0 grammar, then the
// model, then the classifier as the failure floor.
// llm-no-thinking — diagnostic only, not a shippable path (see below).
func TestLLMRouterBaseline(t *testing.T) {
base := os.Getenv("MAVEN_LLM_URL")
if base == "" {
t.Skip("MAVEN_LLM_URL unset — start llama-server and point it here (see doc comment)")
}
// A local llama-server must not go through an HTTP proxy. This box has
// http_proxy pointing at a SOCKS bridge that answers 503 for the loopback
// address, which would score every case as a route error and read as "the
// model can't route" — measure the model, not the proxy.
noProxyLoopback(t)
f, err := Load()
if err != nil {
t.Fatalf("Load: %v", err)
}
client := llm.New(base, 60*time.Second)
if err := ping(context.Background(), client); err != nil {
t.Skipf("llama-server at %s unreachable: %v", base, err)
}
ctx := context.Background()
lr := router.NewLLMRouter(client)
// llm-only: the LLM stage in isolation. Route returns (Decision, ok, err);
// !ok without an error would be a contract violation, so it is surfaced as
// one rather than silently scored as a miss.
llmOnly := RouterFunc(func(ctx context.Context, u string, now time.Time) (router.Decision, error) {
d, ok, err := lr.Route(ctx, u, now)
if err != nil {
return d, err
}
if !ok {
return d, fmt.Errorf("llm router declined without an error")
}
return d, nil
})
repLLM, err := Score(ctx, "llm-only (0.8B, as deployed)", llmOnly, f)
if err != nil {
t.Fatalf("Score llm-only: %v", err)
}
t.Log("\n" + repLLM.String() + repLLM.Failures())
// cascade+llm: stage-0 grammar → LLM → classifier fallback, the wiring #320
// proposes. Hash embedder for the fallback so the classifier contribution is
// the deterministic floor and any lift is attributable to the model.
repCascade, err := Score(ctx, "cascade+llm (0.8B) + hash fallback",
newBaselineRouter(t, router.NewHashEmbedder(1024), lr), f)
if err != nil {
t.Fatalf("Score cascade: %v", err)
}
t.Log("\n" + repCascade.String() + repCascade.Failures())
// llm-no-thinking: same prompt and grammar with the chat template's
// thinking mode off. Qwen3.5's template defaults thinking=1, so under a
// grammar the constrained JSON lands in reasoning_content with content
// empty — llm.Client's ReasoningContent fallback is what makes the router
// work at all today, by accident rather than design.
//
// MEASURED 2026-07-31: this variant scores identically to as-deployed
// (18/76, 48.7% intent-only, 2 errors, same p50). Thinking mode is a
// non-issue under a grammar — llama.cpp constrains the same token stream
// either way. Kept so the question stays answered instead of being
// re-asked, and so internal/llm does NOT grow a chat_template_kwargs field
// for a problem that does not exist.
repNoThink, err := Score(ctx, "llm-only (0.8B, thinking off) [diagnostic]",
RouterFunc(func(ctx context.Context, u string, now time.Time) (router.Decision, error) {
d, ok, err := router.NewLLMRouter(&noThinkCompleter{base: base, http: &http.Client{Timeout: 60 * time.Second}}).Route(ctx, u, now)
if err != nil {
return d, err
}
if !ok {
return d, fmt.Errorf("llm router declined without an error")
}
return d, nil
}), f)
if err != nil {
t.Fatalf("Score no-thinking: %v", err)
}
t.Log("\n" + repNoThink.String() + repNoThink.Failures())
// Reports rather than asserts — the numbers are inputs to the #320
// decision, and an assertion here would be this test inventing the bar.
// The one thing worth failing on is a harness fault: if every single case
// errors, the run measured infrastructure, not routing, and the report
// must not be mistaken for a score.
for _, rep := range []Report{repLLM, repCascade, repNoThink} {
if rep.Errors == rep.Total {
t.Errorf("%s: all %d cases errored — harness fault, not a measurement", rep.Name, rep.Total)
}
}
}
// noThinkCompleter — llm.Client with chat_template_kwargs.enable_thinking
// false. A test-local copy rather than a change to internal/llm: whether the
// daemon should send it is the open question, and answering it here by adding
// the field would prejudge #320.
type noThinkCompleter struct {
base string
http *http.Client
}
func (c *noThinkCompleter) Complete(ctx context.Context, r llm.Req) (string, error) {
payload := map[string]any{
"messages": []map[string]string{
{"role": "system", "content": r.System},
{"role": "user", "content": r.User},
},
"max_tokens": r.MaxTokens,
"temperature": 0,
"grammar": r.Grammar,
"chat_template_kwargs": map[string]any{"enable_thinking": false},
}
b, err := json.Marshal(payload)
if err != nil {
return "", err
}
req, err := http.NewRequestWithContext(ctx, "POST", c.base+"/v1/chat/completions", bytes.NewReader(b))
if err != nil {
return "", err
}
req.Header.Set("Content-Type", "application/json")
resp, err := c.http.Do(req)
if err != nil {
return "", err
}
defer resp.Body.Close()
if resp.StatusCode != 200 {
return "", fmt.Errorf("status %d", resp.StatusCode)
}
var out struct {
Choices []struct {
Message struct {
Content string `json:"content"`
ReasoningContent string `json:"reasoning_content"`
} `json:"message"`
} `json:"choices"`
}
if err := json.NewDecoder(resp.Body).Decode(&out); err != nil {
return "", err
}
if len(out.Choices) == 0 {
return "", fmt.Errorf("no choices")
}
m := out.Choices[0].Message
if m.Content != "" {
return m.Content, nil
}
return m.ReasoningContent, nil
}
func ping(ctx context.Context, c *llm.Client) error {
ctx, cancel := context.WithTimeout(ctx, 90*time.Second)
defer cancel()
_, err := c.Complete(ctx, llm.Req{User: "ping", MaxTokens: 4})
return err
}
// noProxyLoopback appends the loopback host to no_proxy before any request, so
// http.ProxyFromEnvironment (which caches the environment on first use) sees it.
func noProxyLoopback(t *testing.T) {
t.Helper()
for _, key := range []string{"no_proxy", "NO_PROXY"} {
cur := os.Getenv(key)
if strings.Contains(cur, "127.0.0.1") {
continue
}
if cur == "" {
t.Setenv(key, "127.0.0.1,localhost")
continue
}
t.Setenv(key, cur+",127.0.0.1,localhost")
}
}