Files
webber/webber-api/src/domains/conversations/router.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

190 lines
5.6 KiB
Python

"""
REST API routes for conversations.
"""
from uuid import UUID
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.ext.asyncio import AsyncSession
from src.db import get_session
from src.domains.conversations.schemas import (
AddMessageRequest,
AddMessageResponse,
ConversationDetailResponse,
ConversationListResponse,
ConversationResponse,
CreateConversationRequest,
MessageResponse,
)
from src.domains.conversations.service import ConversationService
from src.shared.auth import require_auth
from src.shared.logging import logged, get_logger
logger = get_logger(__name__)
router = APIRouter(prefix="/conversations", tags=["Conversations"])
@router.post("/", response_model=ConversationResponse, status_code=201)
@logged()
async def create_conversation(
request: CreateConversationRequest,
session: AsyncSession = Depends(get_session),
user=Depends(require_auth),
) -> ConversationResponse:
"""
Create a new conversation.
Starts an empty conversation with the specified agent type.
"""
service = ConversationService(session)
conversation = await service.create(
user_id=user.id,
agent_type=request.agent_type,
working_dir=request.working_dir,
title=request.title,
)
return ConversationResponse.model_validate(conversation)
@router.get("/", response_model=ConversationListResponse)
@logged()
async def list_conversations(
limit: int = 50,
offset: int = 0,
session: AsyncSession = Depends(get_session),
user=Depends(require_auth),
) -> ConversationListResponse:
"""
List user's conversations.
Returns conversations sorted by most recently updated.
"""
service = ConversationService(session)
conversations, total = await service.list_by_user(
user_id=user.id,
limit=limit,
offset=offset,
)
return ConversationListResponse(
conversations=[ConversationResponse.model_validate(c) for c in conversations],
total=total,
)
@router.get("/{conversation_id}", response_model=ConversationDetailResponse)
@logged()
async def get_conversation(
conversation_id: UUID,
session: AsyncSession = Depends(get_session),
user=Depends(require_auth),
) -> ConversationDetailResponse:
"""
Get conversation with all messages.
Returns conversation metadata and full message history.
"""
service = ConversationService(session)
conversation = await service.get_with_messages(conversation_id)
if not conversation:
raise HTTPException(status_code=404, detail="Conversation not found")
if conversation.user_id != user.id:
raise HTTPException(status_code=403, detail="Not authorized")
return ConversationDetailResponse.model_validate(conversation)
@router.delete("/{conversation_id}", status_code=204)
@logged()
async def delete_conversation(
conversation_id: UUID,
session: AsyncSession = Depends(get_session),
user=Depends(require_auth),
) -> None:
"""
Delete a conversation and all its messages.
"""
service = ConversationService(session)
conversation = await service.get(conversation_id)
if not conversation:
raise HTTPException(status_code=404, detail="Conversation not found")
if conversation.user_id != user.id:
raise HTTPException(status_code=403, detail="Not authorized")
await service.delete(conversation_id)
@router.post("/{conversation_id}/messages", response_model=AddMessageResponse)
@logged()
async def add_message(
conversation_id: UUID,
request: AddMessageRequest,
session: AsyncSession = Depends(get_session),
user=Depends(require_auth),
) -> AddMessageResponse:
"""
Add a message to a conversation and get agent response.
This is the main endpoint for continuing conversations.
It:
1. Adds the user message
2. Checks if summarization is needed
3. Builds context from conversation history
4. Gets agent response
5. Adds agent response to conversation
6. Returns both messages
"""
service = ConversationService(session)
# Verify conversation exists and user owns it
conversation = await service.get(conversation_id)
if not conversation:
raise HTTPException(status_code=404, detail="Conversation not found")
if conversation.user_id != user.id:
raise HTTPException(status_code=403, detail="Not authorized")
# Add user message
user_message = await service.add_message(
conversation_id=conversation_id,
role="user",
content=request.content,
)
# Check if summarization needed before getting response
summarized = await service.summarize_if_needed(conversation_id)
# Get agent response with context
try:
response_text = await service.get_agent_response(
conversation_id=conversation_id,
user_message=request.content,
)
except Exception as e:
logger.exception(f"Agent response failed: {e}")
raise HTTPException(
status_code=500,
detail=f"Agent error: {str(e)}"
)
# Add assistant message
assistant_message = await service.add_message(
conversation_id=conversation_id,
role="assistant",
content=response_text,
)
# Get updated conversation for total tokens
conversation = await service.get(conversation_id)
return AddMessageResponse(
user_message=MessageResponse.model_validate(user_message),
assistant_message=MessageResponse.model_validate(assistant_message),
total_tokens=conversation.total_tokens if conversation else 0,
summarized=summarized,
)