Release 0.7.9

Author: anjieyang

openclaw-plugin/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@anjieyang/uncommon-route",
-  "version": "0.7.8",
+  "version": "0.7.9",
   "description": "OpenClaw plugin for UncommonRoute, the local LLM router that cuts premium-model spend",
   "type": "module",
   "main": "src/index.js",

openclaw-plugin/src/index.js

@@ -16,7 +16,7 @@
 import { spawn, execSync } from "node:child_process";
 import { setTimeout as sleep } from "node:timers/promises";
 
-const VERSION = "0.7.8";
+const VERSION = "0.7.9";
 const DEFAULT_PORT = 8403;
 const DEFAULT_UPSTREAM = "";
 const HEALTH_TIMEOUT_MS = 15_000;

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "uncommon-route"
-version = "0.7.8"
+version = "0.7.9"
 description = "Local LLM router that cuts premium-model spend with adaptive 3-tier routing, OpenAI + Anthropic compatible"
 requires-python = ">=3.11"
 license = "MIT"

tests/test_model_experience.py

@@ -226,6 +226,75 @@ def test_route_adapts_to_model_experience() -> None:
         selector._rng.setstate(rng_state)
 
 
+def test_select_from_pool_uses_local_feedback_prior_strength(monkeypatch) -> None:
+    import uncommon_route.benchmark as benchmark
+
+    class DummyBenchmarkCache:
+        def get_all_qualities(self, models):
+            return {
+                "alpha/model": 0.90,
+                "beta/model": 0.70,
+            }
+
+    monkeypatch.setattr(benchmark, "get_benchmark_cache", lambda: DummyBenchmarkCache())
+
+    store = ModelExperienceStore(storage=InMemoryModelExperienceStorage(), alpha=0.25)
+    for _ in range(5):
+        store.record_feedback("alpha/model", RoutingMode.AUTO, Tier.SIMPLE, "weak")
+
+    common_kwargs = dict(
+        complexity=0.15,
+        mode=RoutingMode.AUTO,
+        confidence=0.8,
+        reasoning_text="test",
+        available_models=["alpha/model", "beta/model"],
+        estimated_input_tokens=100,
+        max_output_tokens=100,
+        prompt="hello",
+        pricing={
+            "alpha/model": ModelPricing(1.0, 1.0),
+            "beta/model": ModelPricing(1.0, 1.0),
+        },
+        capabilities={
+            "alpha/model": infer_capabilities("alpha/model", ModelPricing(1.0, 1.0), has_explicit_pricing=True),
+            "beta/model": infer_capabilities("beta/model", ModelPricing(1.0, 1.0), has_explicit_pricing=True),
+        },
+        requirements=RequestRequirements(),
+        selection_weights=SelectionWeights(
+            editorial=0.0,
+            cost=0.0,
+            latency=0.0,
+            reliability=0.0,
+            feedback=0.0,
+            cache_affinity=0.0,
+            byok=0.0,
+            free_bias=0.0,
+            local_bias=0.0,
+            reasoning_bias=0.0,
+            quality_alignment=0.0,
+            continuity=0.0,
+        ),
+        model_experience=store,
+    )
+
+    high_prior = select_from_pool(
+        **common_kwargs,
+        bandit_config=BanditConfig(enabled=False, prior_n=20.0),
+    )
+    low_prior = select_from_pool(
+        **common_kwargs,
+        bandit_config=BanditConfig(enabled=False, prior_n=5.0),
+    )
+
+    assert high_prior.model == "alpha/model"
+    assert low_prior.model == "beta/model"
+
+    high_alpha = next(score for score in high_prior.candidate_scores if score.model == "alpha/model")
+    low_alpha = next(score for score in low_prior.candidate_scores if score.model == "alpha/model")
+    assert high_alpha.predicted_quality > 0.70
+    assert low_alpha.predicted_quality < 0.70
+
+
 def test_best_mode_uses_higher_quality_threshold() -> None:
     """BEST mode's higher threshold excludes lower-quality models."""
     pricing = {

uncommon_route/cli.py

@@ -38,7 +38,7 @@
 from uncommon_route.router.classifier import classify
 from uncommon_route.router.structural import extract_structural_features, extract_unicode_block_features
 
-VERSION = "0.7.8"
+VERSION = "0.7.9"
 _DATA_DIR = data_dir()
 _PID_FILE = _DATA_DIR / "serve.pid"
 _LOG_FILE = _DATA_DIR / "serve.log"

uncommon_route/proxy.py

@@ -119,7 +119,7 @@
 logger = logging.getLogger("uncommon-route")
 _debug_log = logging.getLogger("uncommon_route.debug_routing")
 
-VERSION = "0.7.8"
+VERSION = "0.7.9"
 DEFAULT_UPSTREAM = ""
 DEFAULT_PORT = int(os.environ.get("UNCOMMON_ROUTE_PORT", "8403"))
 

uncommon_route/router/selector.py

@@ -833,7 +833,7 @@ def select_from_pool(
 
     mu = complexity
     bandit_active = bc.enabled
-    prior_n = 20.0
+    prior_n = max(0.0, float(bc.prior_n))
 
     # Mode controls quality-vs-cost preference:
     #   FAST  → strongly prefer cheap (low cost_sensitivity = quality matters less)

uncommon_route/router/types.py

@@ -321,6 +321,7 @@ class BanditConfig:
     enabled: bool = True
     reward_weight: float = 0.12
     exploration_weight: float = 0.18
+    prior_n: float = 5.0
     warmup_pulls: int = 2
     min_samples_for_guardrail: int = 3
     min_reliability: float = 0.25

uncommon_route/support.py

@@ -46,7 +46,7 @@ def _package_version() -> str:
 
         return version("uncommon-route")
     except Exception:
-        return "0.7.8"
+        return "0.7.9"
 
 
 def _feedback_buffer_summary(root: Path) -> dict[str, Any]: