OpenHands/openhands/utils/conversation_summary.py
Rohit Malhotra 25d9cf2890
[Refactor]: Add LLMRegistry for llm services (#9589)
Co-authored-by: openhands <openhands@all-hands.dev>
Co-authored-by: Graham Neubig <neubig@gmail.com>
Co-authored-by: Engel Nyst <enyst@users.noreply.github.com>
2025-08-18 02:11:20 -04:00

143 lines
5.1 KiB
Python

"""Utility functions for generating conversation summaries."""
from typing import Optional
from openhands.core.config import LLMConfig
from openhands.core.logger import openhands_logger as logger
from openhands.events.action.message import MessageAction
from openhands.events.event import EventSource
from openhands.events.event_store import EventStore
from openhands.llm.llm_registry import LLMRegistry
from openhands.storage.data_models.settings import Settings
from openhands.storage.files import FileStore
async def generate_conversation_title(
message: str,
llm_config: LLMConfig,
llm_registry: LLMRegistry,
max_length: int = 50,
) -> Optional[str]:
"""Generate a concise title for a conversation based on the first user message.
Args:
message: The first user message in the conversation.
llm_config: The LLM configuration to use for generating the title.
max_length: The maximum length of the generated title.
Returns:
A concise title for the conversation, or None if generation fails.
"""
if not message or message.strip() == '':
return None
# Truncate very long messages to avoid excessive token usage
if len(message) > 1000:
truncated_message = message[:1000] + '...(truncated)'
else:
truncated_message = message
try:
# Create a simple prompt for the LLM to generate a title
messages = [
{
'role': 'system',
'content': 'You are a helpful assistant that generates concise, descriptive titles for conversations with OpenHands. OpenHands is a helpful AI agent that can interact with a computer to solve tasks using bash terminal, file editor, and browser. Given a user message (which may be truncated), generate a concise, descriptive title for the conversation. Return only the title, with no additional text, quotes, or explanations.',
},
{
'role': 'user',
'content': f'Generate a title (maximum {max_length} characters) for a conversation that starts with this message:\n\n{truncated_message}',
},
]
title = llm_registry.request_extraneous_completion(
'convo_title_creator', llm_config, messages
)
# Ensure the title isn't too long
if len(title) > max_length:
title = title[: max_length - 3] + '...'
return title
except Exception as e:
logger.error(f'Error generating conversation title: {e}')
return None
def get_default_conversation_title(conversation_id: str) -> str:
"""Generate a default title for a conversation based on its ID.
Args:
conversation_id: The ID of the conversation
Returns:
A default title string
"""
return f'Conversation {conversation_id[:5]}'
async def auto_generate_title(
conversation_id: str,
user_id: str | None,
file_store: FileStore,
settings: Settings,
llm_registry: LLMRegistry,
) -> str:
"""Auto-generate a title for a conversation based on the first user message.
Uses LLM-based title generation if available, otherwise falls back to a simple truncation.
Args:
conversation_id: The ID of the conversation
user_id: The ID of the user
Returns:
A generated title string
"""
try:
# Create an event store for the conversation
event_store = EventStore(conversation_id, file_store, user_id)
# Find the first user message
first_user_message = None
for event in event_store.search_events():
if (
event.source == EventSource.USER
and isinstance(event, MessageAction)
and event.content
and event.content.strip()
):
first_user_message = event.content
break
if first_user_message:
# Get LLM config from user settings
try:
if settings and settings.llm_model:
# Create LLM config from settings
llm_config = LLMConfig(
model=settings.llm_model,
api_key=settings.llm_api_key,
base_url=settings.llm_base_url,
)
# Try to generate title using LLM
llm_title = await generate_conversation_title(
first_user_message, llm_config, llm_registry
)
if llm_title:
logger.info(f'Generated title using LLM: {llm_title}')
return llm_title
except Exception as e:
logger.error(f'Error using LLM for title generation: {e}')
# Fall back to simple truncation if LLM generation fails or is unavailable
first_user_message = first_user_message.strip()
title = first_user_message[:30]
if len(first_user_message) > 30:
title += '...'
logger.info(f'Generated title using truncation: {title}')
return title
except Exception as e:
logger.error(f'Error generating title: {str(e)}')
return ''