fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore
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- 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>
This commit is contained in:
@@ -5,13 +5,13 @@ from typing import Any, Literal
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from pydantic import BaseModel, Field
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from fusionagi._time import utc_now_iso
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from fusionagi._logger import logger
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from fusionagi._time import utc_now_iso
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class ConversationStyle(BaseModel):
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"""Configuration for conversation style and personality."""
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formality: Literal["casual", "neutral", "formal"] = Field(
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default="neutral",
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description="Conversation formality level"
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@@ -52,7 +52,7 @@ class ConversationStyle(BaseModel):
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class ConversationContext(BaseModel):
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"""Context for a conversation session."""
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session_id: str = Field(default_factory=lambda: f"session_{uuid.uuid4().hex}")
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user_id: str | None = Field(default=None)
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style: ConversationStyle = Field(default_factory=ConversationStyle)
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@@ -65,7 +65,7 @@ class ConversationContext(BaseModel):
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class ConversationTurn(BaseModel):
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"""A single turn in a conversation."""
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turn_id: str = Field(default_factory=lambda: f"turn_{uuid.uuid4().hex[:8]}")
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session_id: str
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speaker: Literal["user", "agent", "system"]
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@@ -85,44 +85,44 @@ class ConversationTurn(BaseModel):
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class ConversationTuner:
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"""
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Conversation tuner for natural language interaction.
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Allows admin to configure conversation style, personality, and behavior
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for different contexts, users, or agents.
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"""
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def __init__(self) -> None:
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self._styles: dict[str, ConversationStyle] = {}
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self._default_style = ConversationStyle()
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logger.info("ConversationTuner initialized")
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def register_style(self, name: str, style: ConversationStyle) -> None:
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"""
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Register a named conversation style.
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Args:
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name: Style name (e.g., "customer_support", "technical_expert").
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style: Conversation style configuration.
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"""
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self._styles[name] = style
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logger.info("Conversation style registered", extra={"name": name})
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def get_style(self, name: str) -> ConversationStyle | None:
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"""Get a conversation style by name."""
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return self._styles.get(name)
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def list_styles(self) -> list[str]:
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"""List all registered style names."""
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return list(self._styles.keys())
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def set_default_style(self, style: ConversationStyle) -> None:
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"""Set the default conversation style."""
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self._default_style = style
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logger.info("Default conversation style updated")
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def get_default_style(self) -> ConversationStyle:
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"""Get the default conversation style."""
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return self._default_style
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def tune_for_context(
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self,
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base_style: ConversationStyle | None = None,
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@@ -131,41 +131,41 @@ class ConversationTuner:
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) -> ConversationStyle:
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"""
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Tune conversation style for a specific context.
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Args:
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base_style: Base style to start from (uses default if None).
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domain: Domain/topic to optimize for.
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user_preferences: User-specific preferences to apply.
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Returns:
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Tuned conversation style.
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"""
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style = base_style or self._default_style.model_copy(deep=True)
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# Apply domain-specific tuning
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if domain:
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style = self._apply_domain_tuning(style, domain)
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# Apply user preferences
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if user_preferences:
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for key, value in user_preferences.items():
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if hasattr(style, key):
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setattr(style, key, value)
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logger.info(
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"Conversation style tuned",
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extra={"domain": domain, "has_user_prefs": bool(user_preferences)}
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)
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return style
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def _apply_domain_tuning(self, style: ConversationStyle, domain: str) -> ConversationStyle:
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"""
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Apply domain-specific tuning to a conversation style.
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Args:
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style: Base conversation style.
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domain: Domain to tune for.
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Returns:
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Tuned conversation style.
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"""
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@@ -196,27 +196,27 @@ class ConversationTuner:
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"proactivity": 0.7,
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},
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}
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preset = domain_presets.get(domain.lower())
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if preset:
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for key, value in preset.items():
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setattr(style, key, value)
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return style
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class ConversationManager:
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"""
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Conversation manager for maintaining conversation state and history.
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Manages conversation sessions, tracks turns, and provides context for
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natural language understanding and generation.
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"""
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def __init__(self, tuner: ConversationTuner | None = None) -> None:
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"""
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Initialize conversation manager.
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Args:
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tuner: Conversation tuner for style management.
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"""
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@@ -224,7 +224,7 @@ class ConversationManager:
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self._sessions: dict[str, ConversationContext] = {}
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self._history: dict[str, list[ConversationTurn]] = {}
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logger.info("ConversationManager initialized")
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def create_session(
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self,
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user_id: str | None = None,
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@@ -234,28 +234,30 @@ class ConversationManager:
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) -> str:
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"""
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Create a new conversation session.
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Args:
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user_id: Optional user identifier.
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style_name: Optional style name (uses default if None).
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language: Primary language code.
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domain: Domain/topic of conversation.
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Returns:
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Session ID.
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"""
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style = self.tuner.get_style(style_name) if style_name else self.tuner.get_default_style()
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resolved_style = self.tuner.get_style(style_name) if style_name else self.tuner.get_default_style()
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if resolved_style is None:
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resolved_style = self.tuner.get_default_style()
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context = ConversationContext(
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user_id=user_id,
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style=style,
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style=resolved_style,
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language=language,
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domain=domain,
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)
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self._sessions[context.session_id] = context
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self._history[context.session_id] = []
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logger.info(
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"Conversation session created",
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extra={
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@@ -265,30 +267,30 @@ class ConversationManager:
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}
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)
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return context.session_id
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def get_session(self, session_id: str) -> ConversationContext | None:
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"""Get conversation context for a session."""
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return self._sessions.get(session_id)
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def add_turn(self, turn: ConversationTurn) -> None:
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"""
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Add a turn to conversation history.
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Args:
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turn: Conversation turn to add.
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"""
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if turn.session_id not in self._history:
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logger.warning("Session not found", extra={"session_id": turn.session_id})
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return
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history = self._history[turn.session_id]
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history.append(turn)
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# Trim history to configured length
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context = self._sessions.get(turn.session_id)
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if context and len(history) > context.history_length:
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self._history[turn.session_id] = history[-context.history_length:]
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logger.debug(
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"Turn added",
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extra={
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@@ -297,15 +299,15 @@ class ConversationManager:
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"content_length": len(turn.content),
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}
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)
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def get_history(self, session_id: str, limit: int | None = None) -> list[ConversationTurn]:
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"""
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Get conversation history for a session.
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Args:
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session_id: Session identifier.
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limit: Optional limit on number of turns to return.
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Returns:
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List of conversation turns (most recent last).
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"""
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@@ -313,7 +315,7 @@ class ConversationManager:
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if limit:
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return history[-limit:]
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return history
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def get_style_for_session(self, session_id: str) -> ConversationStyle | None:
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"""
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Get the conversation style for a session.
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@@ -330,11 +332,11 @@ class ConversationManager:
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def update_style(self, session_id: str, style: ConversationStyle) -> bool:
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"""
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Update conversation style for a session.
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Args:
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session_id: Session identifier.
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style: New conversation style.
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Returns:
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True if updated, False if session not found.
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"""
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@@ -344,14 +346,14 @@ class ConversationManager:
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logger.info("Session style updated", extra={"session_id": session_id})
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return True
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return False
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def end_session(self, session_id: str) -> bool:
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"""
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End a conversation session.
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Args:
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session_id: Session identifier.
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Returns:
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True if ended, False if not found.
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"""
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@@ -361,23 +363,23 @@ class ConversationManager:
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logger.info("Session ended", extra={"session_id": session_id})
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return True
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return False
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def get_context_summary(self, session_id: str) -> dict[str, Any]:
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"""
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Get a summary of conversation context for LLM prompting.
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Args:
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session_id: Session identifier.
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Returns:
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Dictionary with context summary.
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"""
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context = self._sessions.get(session_id)
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history = self._history.get(session_id, [])
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if not context:
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return {}
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return {
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"session_id": session_id,
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"user_id": context.user_id,
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