Files
webber/webber-api/src/domains/conversations/schemas.py
T
jpmschweitzerandClaude Opus 4.5 2523db4da7
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feat: add conversation persistence and context management layer
- SQLAlchemy async database layer (SQLite dev, PostgreSQL prod)
- Conversation and Message models with UUID primary keys
- Token counting utilities using litellm
- Context summarization at 80% token threshold
- REST API endpoints for multi-turn conversations
- 19 conversation tests, 6 token tests (176 total passing)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-11 22:42:38 +01:00

80 lines
2.0 KiB
Python

"""
Pydantic schemas for conversation API.
"""
from datetime import datetime
from uuid import UUID
from pydantic import BaseModel, Field
# === Request Schemas ===
class CreateConversationRequest(BaseModel):
"""Request to create a new conversation."""
agent_type: str = Field(default="explore", description="Agent type to use")
working_dir: str = Field(default=".", description="Working directory for agent")
title: str | None = Field(default=None, description="Optional conversation title")
class AddMessageRequest(BaseModel):
"""Request to add a message to a conversation."""
content: str = Field(..., min_length=1, description="Message content")
# === Response Schemas ===
class MessageResponse(BaseModel):
"""Response for a single message."""
id: UUID
role: str
content: str
token_count: int
is_summary: bool
created_at: datetime
model_config = {"from_attributes": True}
class ConversationResponse(BaseModel):
"""Response for conversation metadata."""
id: UUID
agent_type: str
title: str | None
working_dir: str
total_tokens: int
created_at: datetime
updated_at: datetime | None
model_config = {"from_attributes": True}
class ConversationDetailResponse(BaseModel):
"""Response for conversation with messages."""
id: UUID
agent_type: str
title: str | None
working_dir: str
total_tokens: int
created_at: datetime
updated_at: datetime | None
messages: list[MessageResponse]
model_config = {"from_attributes": True}
class ConversationListResponse(BaseModel):
"""Response for listing conversations."""
conversations: list[ConversationResponse]
total: int
class AddMessageResponse(BaseModel):
"""Response after adding a message (includes agent response)."""
user_message: MessageResponse
assistant_message: MessageResponse
total_tokens: int
summarized: bool = Field(
default=False,
description="Whether context was summarized due to token limit"
)