Feature (OpenMemory): Add support for LLM and Embedding Providers in OpenMemory (#2794)
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240
openmemory/api/app/routers/config.py
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240
openmemory/api/app/routers/config.py
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import os
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import json
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from typing import Dict, Any, Optional
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from fastapi import APIRouter, HTTPException, Depends
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from pydantic import BaseModel, Field
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from sqlalchemy.orm import Session
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from app.database import get_db
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from app.models import Config as ConfigModel
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from app.utils.memory import reset_memory_client
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router = APIRouter(prefix="/api/v1/config", tags=["config"])
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class LLMConfig(BaseModel):
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model: str = Field(..., description="LLM model name")
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temperature: float = Field(..., description="Temperature setting for the model")
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max_tokens: int = Field(..., description="Maximum tokens to generate")
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api_key: Optional[str] = Field(None, description="API key or 'env:API_KEY' to use environment variable")
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ollama_base_url: Optional[str] = Field(None, description="Base URL for Ollama server (e.g., http://host.docker.internal:11434)")
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class LLMProvider(BaseModel):
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provider: str = Field(..., description="LLM provider name")
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config: LLMConfig
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class EmbedderConfig(BaseModel):
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model: str = Field(..., description="Embedder model name")
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api_key: Optional[str] = Field(None, description="API key or 'env:API_KEY' to use environment variable")
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ollama_base_url: Optional[str] = Field(None, description="Base URL for Ollama server (e.g., http://host.docker.internal:11434)")
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class EmbedderProvider(BaseModel):
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provider: str = Field(..., description="Embedder provider name")
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config: EmbedderConfig
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class OpenMemoryConfig(BaseModel):
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custom_instructions: Optional[str] = Field(None, description="Custom instructions for memory management and fact extraction")
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class Mem0Config(BaseModel):
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llm: Optional[LLMProvider] = None
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embedder: Optional[EmbedderProvider] = None
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class ConfigSchema(BaseModel):
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openmemory: Optional[OpenMemoryConfig] = None
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mem0: Mem0Config
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def get_default_configuration():
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"""Get the default configuration with sensible defaults for LLM and embedder."""
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return {
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"openmemory": {
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"custom_instructions": None
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},
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"mem0": {
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"llm": {
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"provider": "openai",
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"config": {
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"model": "gpt-4o-mini",
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"temperature": 0.1,
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"max_tokens": 2000,
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"api_key": "env:OPENAI_API_KEY"
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}
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},
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"embedder": {
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"provider": "openai",
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"config": {
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"model": "text-embedding-3-small",
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"api_key": "env:OPENAI_API_KEY"
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}
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}
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}
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}
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def get_config_from_db(db: Session, key: str = "main"):
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"""Get configuration from database."""
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config = db.query(ConfigModel).filter(ConfigModel.key == key).first()
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if not config:
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# Create default config with proper provider configurations
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default_config = get_default_configuration()
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db_config = ConfigModel(key=key, value=default_config)
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db.add(db_config)
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db.commit()
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db.refresh(db_config)
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return default_config
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# Ensure the config has all required sections with defaults
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config_value = config.value
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default_config = get_default_configuration()
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# Merge with defaults to ensure all required fields exist
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if "openmemory" not in config_value:
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config_value["openmemory"] = default_config["openmemory"]
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if "mem0" not in config_value:
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config_value["mem0"] = default_config["mem0"]
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else:
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# Ensure LLM config exists with defaults
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if "llm" not in config_value["mem0"] or config_value["mem0"]["llm"] is None:
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config_value["mem0"]["llm"] = default_config["mem0"]["llm"]
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# Ensure embedder config exists with defaults
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if "embedder" not in config_value["mem0"] or config_value["mem0"]["embedder"] is None:
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config_value["mem0"]["embedder"] = default_config["mem0"]["embedder"]
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# Save the updated config back to database if it was modified
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if config_value != config.value:
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config.value = config_value
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db.commit()
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db.refresh(config)
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return config_value
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def save_config_to_db(db: Session, config: Dict[str, Any], key: str = "main"):
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"""Save configuration to database."""
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db_config = db.query(ConfigModel).filter(ConfigModel.key == key).first()
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if db_config:
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db_config.value = config
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db_config.updated_at = None # Will trigger the onupdate to set current time
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else:
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db_config = ConfigModel(key=key, value=config)
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db.add(db_config)
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db.commit()
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db.refresh(db_config)
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return db_config.value
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@router.get("/", response_model=ConfigSchema)
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async def get_configuration(db: Session = Depends(get_db)):
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"""Get the current configuration."""
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config = get_config_from_db(db)
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return config
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@router.put("/", response_model=ConfigSchema)
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async def update_configuration(config: ConfigSchema, db: Session = Depends(get_db)):
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"""Update the configuration."""
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current_config = get_config_from_db(db)
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# Convert to dict for processing
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updated_config = current_config.copy()
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# Update openmemory settings if provided
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if config.openmemory is not None:
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if "openmemory" not in updated_config:
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updated_config["openmemory"] = {}
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updated_config["openmemory"].update(config.openmemory.dict(exclude_none=True))
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# Update mem0 settings
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updated_config["mem0"] = config.mem0.dict(exclude_none=True)
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# Save the configuration to database
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save_config_to_db(db, updated_config)
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reset_memory_client()
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return updated_config
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@router.post("/reset", response_model=ConfigSchema)
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async def reset_configuration(db: Session = Depends(get_db)):
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"""Reset the configuration to default values."""
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try:
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# Get the default configuration with proper provider setups
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default_config = get_default_configuration()
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# Save it as the current configuration in the database
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save_config_to_db(db, default_config)
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reset_memory_client()
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return default_config
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except Exception as e:
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raise HTTPException(
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status_code=500,
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detail=f"Failed to reset configuration: {str(e)}"
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)
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@router.get("/mem0/llm", response_model=LLMProvider)
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async def get_llm_configuration(db: Session = Depends(get_db)):
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"""Get only the LLM configuration."""
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config = get_config_from_db(db)
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llm_config = config.get("mem0", {}).get("llm", {})
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return llm_config
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@router.put("/mem0/llm", response_model=LLMProvider)
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async def update_llm_configuration(llm_config: LLMProvider, db: Session = Depends(get_db)):
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"""Update only the LLM configuration."""
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current_config = get_config_from_db(db)
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# Ensure mem0 key exists
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if "mem0" not in current_config:
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current_config["mem0"] = {}
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# Update the LLM configuration
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current_config["mem0"]["llm"] = llm_config.dict(exclude_none=True)
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# Save the configuration to database
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save_config_to_db(db, current_config)
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reset_memory_client()
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return current_config["mem0"]["llm"]
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@router.get("/mem0/embedder", response_model=EmbedderProvider)
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async def get_embedder_configuration(db: Session = Depends(get_db)):
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"""Get only the Embedder configuration."""
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config = get_config_from_db(db)
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embedder_config = config.get("mem0", {}).get("embedder", {})
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return embedder_config
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@router.put("/mem0/embedder", response_model=EmbedderProvider)
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async def update_embedder_configuration(embedder_config: EmbedderProvider, db: Session = Depends(get_db)):
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"""Update only the Embedder configuration."""
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current_config = get_config_from_db(db)
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# Ensure mem0 key exists
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if "mem0" not in current_config:
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current_config["mem0"] = {}
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# Update the Embedder configuration
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current_config["mem0"]["embedder"] = embedder_config.dict(exclude_none=True)
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# Save the configuration to database
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save_config_to_db(db, current_config)
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reset_memory_client()
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return current_config["mem0"]["embedder"]
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@router.get("/openmemory", response_model=OpenMemoryConfig)
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async def get_openmemory_configuration(db: Session = Depends(get_db)):
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"""Get only the OpenMemory configuration."""
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config = get_config_from_db(db)
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openmemory_config = config.get("openmemory", {})
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return openmemory_config
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@router.put("/openmemory", response_model=OpenMemoryConfig)
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async def update_openmemory_configuration(openmemory_config: OpenMemoryConfig, db: Session = Depends(get_db)):
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"""Update only the OpenMemory configuration."""
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current_config = get_config_from_db(db)
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# Ensure openmemory key exists
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if "openmemory" not in current_config:
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current_config["openmemory"] = {}
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# Update the OpenMemory configuration
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current_config["openmemory"].update(openmemory_config.dict(exclude_none=True))
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# Save the configuration to database
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save_config_to_db(db, current_config)
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reset_memory_client()
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return current_config["openmemory"]
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