fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore

- Integrate GPU scoring inline into reasoning/multi_path.py (auto-uses GPU when available)
- Integrate GPU deduplication into multi_agent/consensus_engine.py
- Add semantic_search() method to memory/semantic_graph.py with GPU acceleration
- Integrate GPU training into self_improvement/training.py AutoTrainer
- Fix all 758 ruff lint issues (whitespace, import sorting, unused imports, ambiguous vars, undefined names)
- Fix all 40 mypy type errors across the codebase (no-any-return, union-attr, arg-type, etc.)
- Fix deprecated ruff config keys (select/ignore -> [tool.ruff.lint])
- Add .dockerignore to exclude .venv/, tests/, docs/ from Docker builds
- Add type hints and docstrings to verification/outcome.py
- Fix E402 import ordering in witness_agent.py
- Fix F821 undefined names in vector_pgvector.py and native.py
- Fix E741 ambiguous variable names in reflective.py and recommender.py

All 276 tests pass. 0 ruff errors. 0 mypy errors.

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>

fusionagi/schemas/__init__.py

@@ -1,30 +1,30 @@
 """Structured schemas for tasks, messages, plans, self-improvement, and AGI."""
 
-from fusionagi.schemas.task import Task, TaskState, TaskPriority
+from fusionagi.schemas.atomic import (
+    AtomicSemanticUnit,
+    AtomicUnitType,
+    DecompositionResult,
+    RelationType,
+    SemanticRelation,
+)
+from fusionagi.schemas.audit import AuditEntry, AuditEventType
+from fusionagi.schemas.commands import ParsedCommand, UserIntent, parse_user_input
+from fusionagi.schemas.goal import Blocker, Checkpoint, Goal, GoalBudget, GoalStatus
+from fusionagi.schemas.grounding import Citation, GroundedClaim
+from fusionagi.schemas.head import HeadClaim, HeadId, HeadOutput, HeadRisk
 from fusionagi.schemas.messages import AgentMessage, AgentMessageEnvelope
 from fusionagi.schemas.plan import Plan, PlanStep
+from fusionagi.schemas.policy import PolicyEffect, PolicyRule
 from fusionagi.schemas.recommendation import (
     Recommendation,
     RecommendationKind,
     TrainingSuggestion,
     TrainingSuggestionKind,
 )
-from fusionagi.schemas.goal import Goal, GoalBudget, GoalStatus, Blocker, Checkpoint
-from fusionagi.schemas.grounding import Citation, GroundedClaim
 from fusionagi.schemas.skill import Skill, SkillKind, SkillVersionInfo
-from fusionagi.schemas.audit import AuditEntry, AuditEventType
-from fusionagi.schemas.policy import PolicyRule, PolicyEffect
+from fusionagi.schemas.task import Task, TaskPriority, TaskState
+from fusionagi.schemas.witness import AgreementMap, FinalResponse, TransparencyReport
 from fusionagi.schemas.world_model import StateTransition, UncertaintyInfo
-from fusionagi.schemas.head import HeadId, HeadClaim, HeadRisk, HeadOutput
-from fusionagi.schemas.witness import AgreementMap, TransparencyReport, FinalResponse
-from fusionagi.schemas.commands import UserIntent, ParsedCommand, parse_user_input
-from fusionagi.schemas.atomic import (
-    AtomicUnitType,
-    RelationType,
-    AtomicSemanticUnit,
-    SemanticRelation,
-    DecompositionResult,
-)
 
 __all__ = [
     "Task",

fusionagi/schemas/commands.py

@@ -2,7 +2,6 @@
 
 import re
 from enum import Enum
-from typing import Any
 
 from pydantic import BaseModel, Field
 

fusionagi/schemas/head.py

@@ -1,7 +1,6 @@
 """Dvādaśa head output schemas: claims, risks, structured outputs per head."""
 
 from enum import Enum
-from typing import Any
 
 from pydantic import BaseModel, Field
 

fusionagi/schemas/messages.py

@@ -11,7 +11,7 @@ from fusionagi._time import utc_now
 class AgentMessage(BaseModel):
     """
     Structured message between agents.
-    
+
     Includes validation for:
     - Non-empty sender, recipient, and intent
     - Confidence in valid [0, 1] range
@@ -45,7 +45,7 @@ class AgentMessage(BaseModel):
 class AgentMessageEnvelope(BaseModel):
     """
     Top-level envelope for agent messages; can carry task context.
-    
+
     The envelope wraps a message and provides additional context:
     - task_id: Associates the message with a specific task
     - correlation_id: Enables request/response tracking
@@ -78,7 +78,7 @@ class AgentMessageEnvelope(BaseModel):
     ) -> "AgentMessageEnvelope":
         """
         Create a response envelope to this message.
-        
+
         Swaps sender/recipient and preserves task_id and correlation_id.
         """
         return AgentMessageEnvelope(

fusionagi/schemas/plan.py

@@ -8,7 +8,7 @@ from pydantic import BaseModel, Field, field_validator, model_validator
 class PlanStep(BaseModel):
     """
     Single step in a plan.
-    
+
     Validation:
     - id and description must be non-empty
     """
@@ -32,7 +32,7 @@ class PlanStep(BaseModel):
 class Plan(BaseModel):
     """
     Plan graph: steps and optional fallback paths.
-    
+
     Validation:
     - No duplicate step IDs
     - All dependency references must be valid step IDs
@@ -48,7 +48,7 @@ class Plan(BaseModel):
     def validate_plan(self) -> "Plan":
         """Validate the entire plan structure."""
         step_ids = {s.id for s in self.steps}
-        
+
         # Check for duplicate step IDs
         if len(step_ids) != len(self.steps):
             seen = set()
@@ -58,7 +58,7 @@ class Plan(BaseModel):
                     duplicates.append(s.id)
                 seen.add(s.id)
             raise ValueError(f"Duplicate step IDs: {duplicates}")
-        
+
         # Check all dependency references are valid
         for step in self.steps:
             invalid_deps = [d for d in step.dependencies if d not in step_ids]
@@ -66,7 +66,7 @@ class Plan(BaseModel):
                 raise ValueError(
                     f"Step '{step.id}' has invalid dependencies: {invalid_deps}"
                 )
-        
+
         # Check all fallback path references are valid
         for i, path in enumerate(self.fallback_paths):
             invalid_refs = [ref for ref in path if ref not in step_ids]
@@ -74,29 +74,29 @@ class Plan(BaseModel):
                 raise ValueError(
                     f"Fallback path {i} has invalid step references: {invalid_refs}"
                 )
-        
+
         # Check for circular dependencies
         cycles = self._find_cycles()
         if cycles:
             raise ValueError(f"Circular dependencies detected: {cycles}")
-        
+
         return self
 
     def _find_cycles(self) -> list[list[str]]:
         """Find circular dependencies in the plan graph using DFS."""
         # Build adjacency list
         graph: dict[str, list[str]] = {s.id: list(s.dependencies) for s in self.steps}
-        
+
         cycles = []
         visited = set()
         rec_stack = set()
         path = []
-        
+
         def dfs(node: str) -> bool:
             visited.add(node)
             rec_stack.add(node)
             path.append(node)
-            
+
             for neighbor in graph.get(node, []):
                 if neighbor not in visited:
                     if dfs(neighbor):
@@ -106,15 +106,15 @@ class Plan(BaseModel):
                     cycle_start = path.index(neighbor)
                     cycles.append(path[cycle_start:] + [neighbor])
                     return True
-            
+
             path.pop()
             rec_stack.remove(node)
             return False
-        
+
         for step_id in graph:
             if step_id not in visited:
                 dfs(step_id)
-        
+
         return cycles
 
     def step_ids(self) -> list[str]:
@@ -142,7 +142,7 @@ class Plan(BaseModel):
     def topological_order(self) -> list[str]:
         """
         Return step IDs in topological order (dependencies first).
-        
+
         Uses Kahn's algorithm.
         """
         # Build in-degree map
@@ -153,11 +153,11 @@ class Plan(BaseModel):
             for dep in step.dependencies:
                 if dep in dependents:
                     dependents[dep].append(step.id)
-        
+
         # Start with nodes that have no dependencies
         queue = [sid for sid, deg in in_degree.items() if deg == 0]
         result = []
-        
+
         while queue:
             node = queue.pop(0)
             result.append(node)
@@ -165,11 +165,11 @@ class Plan(BaseModel):
                 in_degree[dependent] -= 1
                 if in_degree[dependent] == 0:
                     queue.append(dependent)
-        
+
         # Add any remaining nodes (would indicate cycles, but we validate above)
         remaining = [sid for sid in in_degree if sid not in result]
         result.extend(remaining)
-        
+
         return result
 
     def to_dict(self) -> dict[str, Any]:

fusionagi/schemas/task.py

@@ -4,7 +4,7 @@ from datetime import datetime
 from enum import Enum
 from typing import Any
 
-from pydantic import BaseModel, Field, field_validator, model_validator
+from pydantic import BaseModel, Field, field_validator
 
 from fusionagi._time import utc_now
 
@@ -41,7 +41,7 @@ VALID_TASK_TRANSITIONS: dict[TaskState, set[TaskState]] = {
 class Task(BaseModel):
     """
     Task representation for orchestration.
-    
+
     Includes validation for:
     - Non-empty task_id and goal
     - Timestamps for tracking
@@ -85,7 +85,7 @@ class Task(BaseModel):
     def transition_to(self, new_state: TaskState) -> "Task":
         """
         Create a new Task with the new state.
-        
+
         Raises:
             ValueError: If the transition is not allowed.
         """