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A dataclass that represents the complete state of a conversation, including its metadata, exchanges, and lifecycle information.

Purpose

ConversationState serves as a data container for tracking and managing conversation sessions. It stores all relevant information about a conversation including its unique identifier, user association, timing information, exchange history, current status, and contextual metadata. This class is typically used in conversation management systems, chatbots, or dialogue systems to maintain state across multiple interactions.

Source Code

class ConversationState:
    """Represents the state of a conversation"""
    conversation_id: str
    user_id: Optional[str]
    created_at: str
    last_activity: str
    total_exchanges: int
    status: str  # 'active', 'completed', 'archived'
    exchanges: List[Exchange]
    context_summary: str
    metadata: Dict[str, Any]

Parameters

Name	Type	Default	Kind
bases	-	-

Parameter Details

conversation_id: Unique identifier for the conversation, typically a string UUID or similar unique value

user_id: Optional identifier for the user participating in the conversation. Can be None for anonymous conversations

created_at: ISO format timestamp string indicating when the conversation was initiated

last_activity: ISO format timestamp string indicating the most recent activity in the conversation

total_exchanges: Integer count of the total number of exchanges (message pairs) in the conversation

status: String indicating the current state of the conversation. Valid values are 'active', 'completed', or 'archived'

exchanges: List of Exchange objects representing the conversation history, where each Exchange contains a user message and assistant response

context_summary: String containing a summary or description of the conversation context, useful for maintaining conversation continuity

metadata: Dictionary containing arbitrary additional information about the conversation, allowing for flexible extension of conversation properties

Return Value

As a dataclass, instantiation returns a ConversationState object with all specified attributes initialized. The dataclass decorator automatically generates __init__, __repr__, __eq__, and other methods. The object can be converted to a dictionary using asdict() from the dataclasses module.

Class Interface

Methods

Attributes

Name	Type	Description	Scope
conversation_id	str	Unique identifier for the conversation	instance
user_id	Optional[str]	Optional identifier for the user participating in the conversation	instance
created_at	str	ISO format timestamp string of when the conversation was created	instance
last_activity	str	ISO format timestamp string of the most recent activity	instance
total_exchanges	int	Total count of message exchanges in the conversation	instance
status	str	Current status of the conversation: 'active', 'completed', or 'archived'	instance
exchanges	List[Exchange]	List of Exchange objects representing the conversation history	instance
context_summary	str	Summary or description of the conversation context	instance
metadata	Dict[str, Any]	Dictionary containing arbitrary additional information about the conversation	instance

Dependencies

• dataclasses
• typing

Required Imports

from dataclasses import dataclass
from typing import Dict, List, Optional, Any

Usage Example

from dataclasses import dataclass, asdict
from typing import Dict, List, Optional, Any
from datetime import datetime
import uuid

# Assuming Exchange class is defined
@dataclass
class Exchange:
    user_message: str
    assistant_response: str
    timestamp: str

@dataclass
class ConversationState:
    conversation_id: str
    user_id: Optional[str]
    created_at: str
    last_activity: str
    total_exchanges: int
    status: str
    exchanges: List[Exchange]
    context_summary: str
    metadata: Dict[str, Any]

# Create a new conversation state
conversation = ConversationState(
    conversation_id=str(uuid.uuid4()),
    user_id="user123",
    created_at=datetime.now().isoformat(),
    last_activity=datetime.now().isoformat(),
    total_exchanges=0,
    status="active",
    exchanges=[],
    context_summary="Initial conversation about Python",
    metadata={"source": "web", "language": "en"}
)

# Add an exchange
exchange = Exchange(
    user_message="Hello",
    assistant_response="Hi there!",
    timestamp=datetime.now().isoformat()
)
conversation.exchanges.append(exchange)
conversation.total_exchanges += 1
conversation.last_activity = datetime.now().isoformat()

# Convert to dictionary for serialization
conversation_dict = asdict(conversation)

# Update status
conversation.status = "completed"

Best Practices

• Always initialize conversation_id with a unique value (e.g., using uuid.uuid4())
• Use ISO format strings for created_at and last_activity timestamps for consistency and parseability
• Update last_activity timestamp whenever the conversation state changes
• Increment total_exchanges counter when adding new exchanges to the exchanges list
• Ensure status only contains valid values: 'active', 'completed', or 'archived'
• Use the metadata dictionary for extensible properties rather than adding new attributes
• Consider using asdict() from dataclasses module when serializing to JSON or database
• Keep context_summary updated to maintain conversation continuity across sessions
• Handle user_id as Optional to support both authenticated and anonymous conversations
• Validate that exchanges list length matches total_exchanges for data integrity

Tags

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class ConversationState:
    """Represents the state of a conversation"""
    conversation_id: str
    user_id: Optional[str]
    created_at: str
    last_activity: str
    total_exchanges: int
    status: str  # 'active', 'completed', 'archived'
    exchanges: List[Exchange]
    context_summary: str
    metadata: Dict[str, Any]