Release 0.7.16

Author: anjieyang

openclaw-plugin/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@anjieyang/uncommon-route",
-  "version": "0.7.15",
+  "version": "0.7.16",
   "description": "OpenClaw plugin for UncommonRoute, the local LLM router that cuts premium-model spend",
   "type": "module",
   "main": "src/index.js",

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "uncommon-route"
-version = "0.7.15"
+version = "0.7.16"
 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_calibration.py

@@ -1,5 +1,3 @@
-import json
-from pathlib import Path
 
 from uncommon_route.decision.calibration import (
     PlattCalibrator,

tests/test_ensemble.py

@@ -1,5 +1,5 @@
 from uncommon_route.signals.base import TierVote
-from uncommon_route.decision.ensemble import Ensemble, EnsembleResult
+from uncommon_route.decision.ensemble import Ensemble
 
 
 def test_unanimous_vote():

tests/test_index_growth.py

@@ -1,6 +1,5 @@
 import json
 import numpy as np
-from pathlib import Path
 from uncommon_route.learning.index_growth import EmbeddingIndexManager
 
 

tests/test_keyword_free.py

@@ -7,8 +7,6 @@
 from __future__ import annotations
 
 import json
-import math
-from collections import defaultdict
 from pathlib import Path
 
 from uncommon_route.router.structural import (
@@ -130,7 +128,7 @@ def test_keyword_free_training_accuracy():
     print(f"  Disagreements: {len(disagreements)}/{total}")
 
     if disagreements:
-        print(f"\n  Sample disagreements (first 10):")
+        print("\n  Sample disagreements (first 10):")
         for prompt, expected, pred_kw, pred_no_kw in disagreements[:10]:
             print(f"    '{prompt}...'")
             print(f"      expected={expected}  with_kw={pred_kw}  no_kw={pred_no_kw}")
@@ -143,7 +141,7 @@ def test_keyword_free_held_out():
     test_path = data_dir / "test.jsonl"
 
     if not train_path.exists() or not test_path.exists():
-        print(f"\n  train.jsonl or test.jsonl not found, skipping held-out test")
+        print("\n  train.jsonl or test.jsonl not found, skipping held-out test")
         return
 
     def load_jsonl(path):
@@ -232,7 +230,7 @@ def test_keyword_free_specific_cases():
         ("证明哥德尔不完备定理", "COMPLEX"),
     ]
 
-    print(f"\n  Keyword-free classifier on specific cases:")
+    print("\n  Keyword-free classifier on specific cases:")
     correct = 0
     total = len(test_prompts)
     for prompt, expected in test_prompts:

tests/test_learning_weights.py

@@ -1,5 +1,3 @@
-import json
-from pathlib import Path
 from uncommon_route.learning.weights import SignalWeightTracker
 
 
@@ -17,7 +15,6 @@ def test_correct_signal_weight_increases():
 
 def test_abstaining_signal_not_updated():
     tracker = SignalWeightTracker(initial_weights=[0.5, 0.5])
-    old_w1 = tracker.weights[1]
     tracker.update(predictions=[1, None], abstained=[False, True], actual_tier=1)
     # Abstaining signal weight changes only due to normalization
     # but should not be directly penalized/rewarded

tests/test_persistence.py

@@ -1,5 +1,4 @@
 import json
-from pathlib import Path
 from uncommon_route.persistence import LearnedState, save_state, load_state, reset_state
 
 

tests/test_reported_issues.py

@@ -11,26 +11,18 @@
 
 from __future__ import annotations
 
-import json
-import copy
-from dataclasses import replace
 
 from uncommon_route.router.api import route
-from uncommon_route.router.classifier import classify, extract_features, _ensure_model_loaded, update_model, save_online_model, rollback_online_model
-from uncommon_route.router.config import DEFAULT_CONFIG, DEFAULT_MODEL_PRICING, DEFAULT_MODEL_CAPABILITIES
+from uncommon_route.router.classifier import classify, extract_features, _ensure_model_loaded, update_model, rollback_online_model
 from uncommon_route.router.types import (
     ModelCapabilities,
     ModelPricing,
-    RequestRequirements,
-    RoutingConstraints,
     RoutingFeatures,
     RoutingMode,
-    ScoringConfig,
     Tier,
     WorkloadHints,
 )
 from uncommon_route.model_experience import (
-    CandidateExperience,
     InMemoryModelExperienceStorage,
     ModelExperienceStore,
 )
@@ -189,7 +181,6 @@ def test_issue3_minimax_never_wins_for_complex():
 def test_issue3_minimax_ranking_across_tiers():
     """Check MiniMax's position in ranking for each complexity level."""
     for complexity, label in [(0.15, "SIMPLE"), (0.45, "MEDIUM"), (0.85, "COMPLEX")]:
-        tier = Tier.SIMPLE if complexity < 0.33 else (Tier.MEDIUM if complexity < 0.67 else Tier.COMPLEX)
         # Use a neutral prompt and force complexity via routing features
         decision = route(
             "do something",
@@ -211,7 +202,7 @@ def test_issue3_quality_prior_is_benchmark_based():
     opus_quality = cache.get_quality("anthropic/claude-opus-4.6")
     oss_quality = cache.get_quality("nvidia/gpt-oss-120b")
 
-    print(f"\n  Benchmark quality (not price-based):")
+    print("\n  Benchmark quality (not price-based):")
     print(f"    MiniMax: {minimax_quality:.3f}")
     print(f"    Opus:    {opus_quality:.3f}")
     print(f"    gpt-oss: {oss_quality:.3f}")
@@ -248,7 +239,7 @@ def test_issue4_any_tools_means_agentic():
         prompt="hello",
     )
 
-    print(f"\n  Prompt: 'hello'")
+    print("\n  Prompt: 'hello'")
     print(f"  step_type: {step_type}")
     print(f"  is_agentic: {features.is_agentic}")
     print(f"  needs_tool_calling: {features.needs_tool_calling}")
@@ -404,7 +395,7 @@ def test_issue6_anthropic_model_resolution():
     opus_resolved = mapper.resolve("anthropic/claude-opus-4.6")
     sonnet_resolved = mapper.resolve("anthropic/claude-sonnet-4.6")
 
-    print(f"\n  Pre-discovery:")
+    print("\n  Pre-discovery:")
     print(f"    Opus → {opus_resolved}")
     print(f"    Sonnet → {sonnet_resolved}")
     print(f"    Is gateway: {mapper.is_gateway}")
@@ -424,10 +415,31 @@ def test_issue6_openrouter_detected_as_gateway():
     assert mapper.resolve("xai/grok-4-1-fast-reasoning") == "xai/grok-4-1-fast-reasoning"
 
 
+def test_issue6_learned_fallbacks_do_not_override_gateway_seed_aliases():
+    """Runtime fallback aliases from one gateway should not hide known model renames."""
+    from uncommon_route.model_map import DiscoveredModel, ModelMapper
+
+    mapper = ModelMapper("https://openrouter.ai/api/v1")
+    mapper._learned_aliases["xai/grok-4-1-fast-reasoning"] = "google/gemini-2.5-flash"
+    for model_id in ["x-ai/grok-4.1-fast", "google/gemini-2.5-flash"]:
+        provider = model_id.split("/", 1)[0]
+        mapper._pool[model_id] = DiscoveredModel(
+            id=model_id,
+            provider=provider,
+            owned_by=provider,
+            pricing=ModelPricing(0.2, 0.8),
+            capabilities=ModelCapabilities(tool_calling=True, vision=False, reasoning=False),
+        )
+        mapper._upstream_models.add(model_id)
+    mapper._build_map()
+    mapper._discovered = True
+
+    assert mapper.resolve("xai/grok-4-1-fast-reasoning") == "x-ai/grok-4.1-fast"
+
+
 def test_issue6_legacy_model_ids_resolve_to_live_successors():
     """Legacy internal ids should map onto current upstream successors."""
     from uncommon_route.model_map import DiscoveredModel, ModelMapper
-    from uncommon_route.router.types import ModelCapabilities, ModelPricing
 
     live_models = [
         "x-ai/grok-4",
@@ -488,7 +500,6 @@ def test_issue6_legacy_model_ids_resolve_to_live_successors():
 def test_issue6_image_generation_models_do_not_enter_chat_routing_pool():
     """Image-generation catalog entries should not become chat candidates."""
     from uncommon_route.model_map import DiscoveredModel, ModelMapper, is_routable_chat_model
-    from uncommon_route.router.types import ModelCapabilities, ModelPricing
 
     mapper = ModelMapper("https://api.commonstack.ai/v1")
     for model_id in [

tests/test_telemetry.py

@@ -1,8 +1,6 @@
 """E2E tests for telemetry: opt-in logic, record lifecycle, buffer, privacy."""
 
-import json
 import os
-from pathlib import Path
 from unittest import mock
 
 import numpy as np