Dt8333
7dd95d8a59
* chore: auto fix by ruff * refactor: 统一修正返回类型注解为 None/bool 以匹配实现 * refactor: 将 _get_next_page 改为异步并移除多余的请求错误抛出 * refactor: 将 get_client 的返回类型改为 object * style: 为 LarkMessageEvent 的相关方法添加返回类型注解 None --------- Co-authored-by: Soulter <37870767+Soulter@users.noreply.github.com>
121 lines
3.9 KiB
Python
121 lines
3.9 KiB
Python
from astrbot import logger
|
|
|
|
from ..message import Message
|
|
from .compressor import LLMSummaryCompressor, TruncateByTurnsCompressor
|
|
from .config import ContextConfig
|
|
from .token_counter import EstimateTokenCounter
|
|
from .truncator import ContextTruncator
|
|
|
|
|
|
class ContextManager:
|
|
"""Context compression manager."""
|
|
|
|
def __init__(
|
|
self,
|
|
config: ContextConfig,
|
|
) -> None:
|
|
"""Initialize the context manager.
|
|
|
|
There are two strategies to handle context limit reached:
|
|
1. Truncate by turns: remove older messages by turns.
|
|
2. LLM-based compression: use LLM to summarize old messages.
|
|
|
|
Args:
|
|
config: The context configuration.
|
|
"""
|
|
self.config = config
|
|
|
|
self.token_counter = config.custom_token_counter or EstimateTokenCounter()
|
|
self.truncator = ContextTruncator()
|
|
|
|
if config.custom_compressor:
|
|
self.compressor = config.custom_compressor
|
|
elif config.llm_compress_provider:
|
|
self.compressor = LLMSummaryCompressor(
|
|
provider=config.llm_compress_provider,
|
|
keep_recent=config.llm_compress_keep_recent,
|
|
instruction_text=config.llm_compress_instruction,
|
|
)
|
|
else:
|
|
self.compressor = TruncateByTurnsCompressor(
|
|
truncate_turns=config.truncate_turns
|
|
)
|
|
|
|
async def process(
|
|
self, messages: list[Message], trusted_token_usage: int = 0
|
|
) -> list[Message]:
|
|
"""Process the messages.
|
|
|
|
Args:
|
|
messages: The original message list.
|
|
|
|
Returns:
|
|
The processed message list.
|
|
"""
|
|
try:
|
|
result = messages
|
|
|
|
# 1. 基于轮次的截断 (Enforce max turns)
|
|
if self.config.enforce_max_turns != -1:
|
|
result = self.truncator.truncate_by_turns(
|
|
result,
|
|
keep_most_recent_turns=self.config.enforce_max_turns,
|
|
drop_turns=self.config.truncate_turns,
|
|
)
|
|
|
|
# 2. 基于 token 的压缩
|
|
if self.config.max_context_tokens > 0:
|
|
total_tokens = self.token_counter.count_tokens(
|
|
result, trusted_token_usage
|
|
)
|
|
|
|
if self.compressor.should_compress(
|
|
result, total_tokens, self.config.max_context_tokens
|
|
):
|
|
result = await self._run_compression(result, total_tokens)
|
|
|
|
return result
|
|
except Exception as e:
|
|
logger.error(f"Error during context processing: {e}", exc_info=True)
|
|
return messages
|
|
|
|
async def _run_compression(
|
|
self, messages: list[Message], prev_tokens: int
|
|
) -> list[Message]:
|
|
"""
|
|
Compress/truncate the messages.
|
|
|
|
Args:
|
|
messages: The original message list.
|
|
prev_tokens: The token count before compression.
|
|
|
|
Returns:
|
|
The compressed/truncated message list.
|
|
"""
|
|
logger.debug("Compress triggered, starting compression...")
|
|
|
|
messages = await self.compressor(messages)
|
|
|
|
# double check
|
|
tokens_after_summary = self.token_counter.count_tokens(messages)
|
|
|
|
# calculate compress rate
|
|
compress_rate = (tokens_after_summary / self.config.max_context_tokens) * 100
|
|
logger.info(
|
|
f"Compress completed."
|
|
f" {prev_tokens} -> {tokens_after_summary} tokens,"
|
|
f" compression rate: {compress_rate:.2f}%.",
|
|
)
|
|
|
|
# last check
|
|
if self.compressor.should_compress(
|
|
messages, tokens_after_summary, self.config.max_context_tokens
|
|
):
|
|
logger.info(
|
|
"Context still exceeds max tokens after compression, applying halving truncation..."
|
|
)
|
|
# still need compress, truncate by half
|
|
messages = self.truncator.truncate_by_halving(messages)
|
|
|
|
return messages
|