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feat: add memory API and optimize memory middleware

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- Add memory API endpoints for retrieving memory data:
  - GET /api/memory - get current memory data
  - POST /api/memory/reload - reload from file
  - GET /api/memory/config - get memory configuration
  - GET /api/memory/status - get config and data together
- Optimize MemoryMiddleware to only use user inputs and final
  assistant responses, filtering out intermediate tool calls
- Add memory configuration example to config.example.yaml

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
hetaoBackend
2026-02-03 13:41:04 +08:00
parent 0ea666e0cf
commit 3b30913e10
4 changed files with 267 additions and 8 deletions
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10
backend/src/gateway/app.py
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@@ -5,7 +5,7 @@ from contextlib import asynccontextmanager
from fastapi import FastAPI
from src.gateway.config import get_gateway_config
from src.gateway.routers import artifacts, mcp, models, skills, uploads
from src.gateway.routers import artifacts, mcp, memory, models, skills, uploads
# Configure logging
logging.basicConfig(
@@ -50,6 +50,7 @@ API Gateway for DeerFlow - A LangGraph-based AI agent backend with sandbox execu
- **Models Management**: Query and retrieve available AI models
- **MCP Configuration**: Manage Model Context Protocol (MCP) server configurations
- **Memory Management**: Access and manage global memory data for personalized conversations
- **Skills Management**: Query and manage skills and their enabled status
- **Artifacts**: Access thread artifacts and generated files
- **Health Monitoring**: System health check endpoints
@@ -73,6 +74,10 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
"name": "mcp",
"description": "Manage Model Context Protocol (MCP) server configurations",
},
{
"name": "memory",
"description": "Access and manage global memory data for personalized conversations",
},
{
"name": "skills",
"description": "Manage skills and their configurations",
@@ -101,6 +106,9 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an
# MCP API is mounted at /api/mcp
app.include_router(mcp.router)
# Memory API is mounted at /api/memory
app.include_router(memory.router)
# Skills API is mounted at /api/skills
app.include_router(skills.router)