feat: improve task execution, verification and packaging

Add execution incidents, action bursts and shared Flash history.

Expose verification and Explorer settings with streamed check results.

Support graceful cancellation, recording recovery and bundled UI resources.

Add CI quality checks and clean up comments and documentation.

artemis/config/llm.py

@@ -116,6 +116,21 @@ class LLMWithFallback(LLM):
         return f"{self.provider}/{self.model} (fallback: {self.fallback})"
 
 
+def lightweight_judge_default() -> "LLMWithFallback":
+    """Factory default for the lightweight judge nodes (pixel safety net and
+    planner validation): a flash-lite model at temperature 0."""
+    return LLMWithFallback(
+        provider="google",
+        model="gemini-3.5-flash-lite",
+        temperature=0.0,
+        fallback=LLM(
+            provider="google",
+            model="gemini-3.1-flash-lite",
+            temperature=0.0,
+        ),
+    )
+
+
 class LLMConfigUtils(BaseModel):
     """Configuration container for auxiliary utility agents/nodes."""
 
@@ -138,7 +153,6 @@ class LLMConfig(BaseModel):
     log_reader_sub_agent: LLMWithFallback
     log_analyzer: LLMWithFallback
     diagnoser: LLMWithFallback
-    validator_failure_analyzer: LLMWithFallback
     checker: LLMWithFallback
     planner_avatar: LLMWithFallback
     history_analyzer_expert: LLMWithFallback
@@ -146,6 +160,7 @@ class LLMConfig(BaseModel):
     explorer: LLMWithFallback
     history_analyzer: LLMWithFallback | None = None
     validator_pixel_safety_net: LLMWithFallback | None = None
+    planner_validation: LLMWithFallback | None = None
     output_analyzer: LLMWithFallback | None = None
 
     def validate_providers(self) -> None:
@@ -163,7 +178,6 @@ class LLMConfig(BaseModel):
         self.log_reader_sub_agent.validate_provider("LogReaderSubAgent")
         self.log_analyzer.validate_provider("LogAnalyzer")
         self.diagnoser.validate_provider("Diagnoser")
-        self.validator_failure_analyzer.validate_provider("ValidatorFailureAnalyzer")
         self.checker.validate_provider("Checker")
         self.planner_avatar.validate_provider("PlannerAvatar")
         self.history_analyzer_expert.validate_provider("HistoryAnalyzerExpert")
@@ -173,6 +187,8 @@ class LLMConfig(BaseModel):
             self.history_analyzer.validate_provider("HistoryAnalyzer")
         if self.validator_pixel_safety_net:
             self.validator_pixel_safety_net.validate_provider("ValidatorPixelSafetyNet")
+        if self.planner_validation:
+            self.planner_validation.validate_provider("PlannerValidation")
         if self.output_analyzer:
             self.output_analyzer.validate_provider("OutputAnalyzer")
 
@@ -192,17 +208,11 @@ class LLMConfig(BaseModel):
         if val is None:
             if item == "history_analyzer":
                 return self.operator
-            elif item == "validator_pixel_safety_net":
-                return LLMWithFallback(
-                    provider="google",
-                    model="gemini-3.5-flash-lite",
-                    temperature=0.0,
-                    fallback=LLM(
-                        provider="google",
-                        model="gemini-3.1-flash-lite",
-                        temperature=0.0,
-                    ),
-                )
+            elif item in ("validator_pixel_safety_net", "planner_validation"):
+                # Both are cheap, high-frequency judges: the pixel safety net
+                # runs before actions, the planner validator after every
+                # milestone edit. They share one lightweight default.
+                return lightweight_judge_default()
             elif item == "output_analyzer":
                 return self.log_analyzer
         return val
@@ -227,10 +237,10 @@ def _expand_default_into_nodes(config_dict: dict) -> dict:
         "default",
         {
             "provider": "google",
-            "model": "gemini-3.7-flash",
+            "model": "gemini-3.8-flash",
             "fallback": {
                 "provider": "google",
-                "model": "gemini-3.6-flash",
+                "model": "gemini-3.7-flash",
             },
         },
     )
@@ -245,7 +255,6 @@ def _expand_default_into_nodes(config_dict: dict) -> dict:
         "log_reader_sub_agent",
         "log_analyzer",
         "diagnoser",
-        "validator_failure_analyzer",
         "checker",
         "planner_avatar",
         "history_analyzer_expert",
@@ -345,7 +354,7 @@ def load_llm_config_override(path: Path | str) -> LLMConfig:
     if not resolved_path.exists():
         try:
             resolved_path = get_config_path(str(path))
-        except Exception:
+        except OSError:
             pass
 
     override_config_dict = {}