Files
MemoryBear/api/app/models/prompt_optimizer_model.py
mengyonghao 64d9dde209 feat(prompt-optimizer): add prompt optimization APIs and database tables
- Added API endpoints for prompt optimization:
  * POST /prompt/sessions: Create a new prompt optimization session
  * GET /prompt/sessions/{session_id}: Retrieve session message history
  * POST /prompt/sessions/{session_id}/messages: Send message and get optimized prompt
  * PUT /prompt/model: Create or update system prompt model configuration

- Added database models for prompt optimization:
  * prompt_opt_session: Stores session metadata
  * prompt_opt_session_history: Stores session message history
  * prompt_opt_message: Stores user and assistant messages
  * prompt_opt_model_config: Stores system prompt model configurations

- Updated service layer to handle message creation, prompt optimization, and variable parsing
- Added corresponding Pydantic schemas for request and response validation
2025-12-17 15:59:33 +08:00

177 lines
7.0 KiB
Python

import datetime
import uuid
from enum import StrEnum
from sqlalchemy import Column, ForeignKey, Text, DateTime, String, Index
from sqlalchemy.dialects.postgresql import UUID
from app.db import Base
class RoleType(StrEnum):
"""
Enumeration of message roles used in prompt optimization conversations.
This enum standardizes the role identifiers for messages stored in the
prompt optimization session history, ensuring consistency across
system-generated messages, user inputs, and assistant responses.
Attributes:
SYSTEM (str): Represents system-level instructions or prompts that
define the behavior or constraints of the assistant.
USER (str): Represents messages originating from the end user.
ASSISTANT (str): Represents messages generated by the AI assistant.
"""
SYSTEM = "system"
USER = "user"
ASSISTANT = "assistant"
class PromptOptimizerModelConfig(Base):
"""
Prompt Optimization Model Configuration.
This table stores system-level prompt configurations for each tenant.
The configuration defines the base system prompt used during prompt
optimization sessions and serves as a foundational instruction set
for the optimization process.
Each tenant may have one or more model configurations depending on
business requirements.
Table Name:
prompt_model_config
Columns:
id (UUID):
Primary key. Unique identifier for the prompt model configuration.
tenant_id (UUID):
Foreign key referencing `tenants.id`.
Identifies the tenant that owns this configuration.
system_prompt (Text):
The system-level prompt used to guide prompt optimization logic.
created_at (DateTime):
Timestamp indicating when the configuration was created.
updated_at (DateTime):
Timestamp indicating the last update time of the configuration.
Usage:
- Loaded when initializing a prompt optimization session
- Acts as the root system instruction for all subsequent prompts
"""
__tablename__ = "prompt_model_config"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4, index=True)
tenant_id = Column(UUID(as_uuid=True), ForeignKey("tenants.id"), nullable=False, comment="Tenant ID")
# model_id = Column(UUID(as_uuid=True), nullable=False, comment="Model ID")
system_prompt = Column(Text, nullable=False, comment="System Prompt")
created_at = Column(DateTime, default=datetime.datetime.now, comment="Creation Time")
updated_at = Column(DateTime, default=datetime.datetime.now, onupdate=datetime.datetime.now, comment="Update Time")
class PromptOptimizerSession(Base):
"""
Prompt Optimization Session Registry.
This table records high-level metadata for prompt optimization sessions.
Each record represents a single logical session initiated by a user
under a specific tenant.
The session acts as a container for multiple conversation messages
stored in the session history table.
Table Name:
prompt_opt_session_list
Columns:
id (UUID):
Primary key. Internal unique identifier for the session record.
tenant_id (UUID):
Foreign key referencing `tenants.id`.
Identifies the tenant under which the session is created.
session_id (UUID):
Public-facing session identifier used to group conversation history.
user_id (UUID):
Foreign key referencing `users.id`.
Identifies the user who initiated the session.
created_at (DateTime):
Timestamp indicating when the session was created.
Design Notes:
- This table intentionally does not store message content
- Message-level data is stored in `prompt_opt_session_history`
- Enables efficient session listing and pagination
"""
__tablename__ = "prompt_opt_session_list"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4, index=True)
tenant_id = Column(UUID(as_uuid=True), ForeignKey("tenants.id"), nullable=False, comment="Tenant ID")
# app_id = Column(UUID(as_uuid=True), ForeignKey("apps.id"), nullable=False, comment="Application ID")
session_id = Column(UUID(as_uuid=True), nullable=False, comment="Session ID")
user_id = Column(UUID(as_uuid=True), ForeignKey("users.id"), nullable=False, comment="User ID")
created_at = Column(DateTime, default=datetime.datetime.now, comment="Creation Time", index=True)
class PromptOptimizerSessionHistory(Base):
"""
Prompt Optimization Session Message History.
This table stores the complete conversational history of a prompt
optimization session, including system prompts, user inputs, and
assistant responses.
Each record represents a single message within a session, preserving
the chronological order of interactions.
Table Name:
prompt_opt_session_history
Columns:
id (UUID):
Primary key. Unique identifier for the message record.
tenant_id (UUID):
Foreign key referencing `tenants.id`.
Identifies the tenant under which the session operates.
session_id (UUID):
Logical session identifier linking messages to a session.
user_id (UUID):
Foreign key referencing `users.id`.
Identifies the user associated with the session.
message_role (Text):
Role of the message sender (e.g., system, user, assistant).
message_content (Text):
Raw message content generated or provided during the session.
prompt (Text):
The prompt snapshot used at the time of message generation.
created_at (DateTime):
Timestamp indicating when the message was created.
Design Notes:
- Supports full conversation replay and audit
- Enables prompt evolution tracking over time
- Indexed by creation time for efficient chronological queries
"""
__tablename__ = "prompt_opt_session_history"
__table_args__ = (
Index(
"ix_prompt_opt_session_history_session_user_created",
"session_id",
"user_id",
"created_at"
),
)
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4, index=True)
tenant_id = Column(UUID(as_uuid=True), ForeignKey("tenants.id"), nullable=False, comment="Tenant ID")
# app_id = Column(UUID(as_uuid=True), ForeignKey("apps.id"), nullable=False, comment="Application ID")
session_id = Column(UUID(as_uuid=True), nullable=False, comment="Session ID")
user_id = Column(UUID(as_uuid=True), ForeignKey("users.id"), nullable=False, comment="User ID")
role = Column(String, nullable=False, comment="Message Role")
content = Column(Text, nullable=False, comment="Message Content")
# prompt = Column(Text, nullable=False, comment="Prompt")
created_at = Column(DateTime, default=datetime.datetime.now, comment="Creation Time", index=True)