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https://github.com/AstrBotDevs/AstrBot
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1daa0e3367
* fix(context): restore turn cap, serialize content parts and tool calls for llm compress, fix AftCompact debug log Three context-compaction regression fixes after #8226: 1. Restore max_context_length -> enforce_max_turns propagation so normal turn-based truncation works again. 2. Serialize ContentPart and ToolCall objects into plain dicts in _message_to_dict so llm_compress no longer fails with JSON serialization errors. 3. Print _provider_messages (compacted) instead of run_context.messages (unchanged) in AftCompact debug log; truncate long role lists to first4,...,last4 to avoid log spam. Assertions in tests are also hardened to avoid coupling to exact prompt wording. * fix(tool_loop_agent_runner): simplify context handling by removing redundant provider messages * fix(tool_loop_agent_runner): rename context manager variables for clarity * fix: update context compression to use recent token ratio instead of fixed count * fix: enhance LLMSummaryCompressor to sanitize contexts and improve message handling * ruff format --------- Co-authored-by: Soulter <905617992@qq.com>
122 lines
4.0 KiB
Python
122 lines
4.0 KiB
Python
from astrbot import logger
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from ..message import Message
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from .compressor import LLMSummaryCompressor, TruncateByTurnsCompressor
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from .config import ContextConfig
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from .token_counter import EstimateTokenCounter
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from .truncator import ContextTruncator
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class ContextManager:
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"""Context compression manager."""
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def __init__(
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self,
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config: ContextConfig,
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) -> None:
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"""Initialize the context manager.
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There are two strategies to handle context limit reached:
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1. Truncate by turns: remove older messages by turns.
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2. LLM-based compression: use LLM to summarize old messages.
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Args:
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config: The context configuration.
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"""
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self.config = config
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self.token_counter = config.custom_token_counter or EstimateTokenCounter()
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self.truncator = ContextTruncator()
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if config.custom_compressor:
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self.compressor = config.custom_compressor
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elif config.llm_compress_provider:
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self.compressor = LLMSummaryCompressor(
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provider=config.llm_compress_provider,
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keep_recent_ratio=config.llm_compress_keep_recent_ratio,
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instruction_text=config.llm_compress_instruction,
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token_counter=self.token_counter,
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)
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else:
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self.compressor = TruncateByTurnsCompressor(
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truncate_turns=config.truncate_turns
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)
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async def process(
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self, messages: list[Message], trusted_token_usage: int = 0
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) -> list[Message]:
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"""Process the messages.
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Args:
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messages: The original message list.
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Returns:
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The processed message list.
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"""
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try:
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result = messages
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# 1. 基于轮次的截断 (Enforce max turns)
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if self.config.enforce_max_turns != -1:
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result = self.truncator.truncate_by_turns(
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result,
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keep_most_recent_turns=self.config.enforce_max_turns,
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drop_turns=self.config.truncate_turns,
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)
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# 2. 基于 token 的压缩
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if self.config.max_context_tokens > 0:
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total_tokens = self.token_counter.count_tokens(
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result, trusted_token_usage
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)
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if self.compressor.should_compress(
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result, total_tokens, self.config.max_context_tokens
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):
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result = await self._run_compression(result, total_tokens)
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return result
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except Exception as e:
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logger.error(f"Error during context processing: {e}", exc_info=True)
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return messages
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async def _run_compression(
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self, messages: list[Message], prev_tokens: int
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) -> list[Message]:
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"""
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Compress/truncate the messages.
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Args:
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messages: The original message list.
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prev_tokens: The token count before compression.
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Returns:
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The compressed/truncated message list.
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"""
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logger.debug("Compress triggered, starting compression...")
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messages = await self.compressor(messages)
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# double check
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tokens_after_summary = self.token_counter.count_tokens(messages)
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# calculate compress rate
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compress_rate = (tokens_after_summary / self.config.max_context_tokens) * 100
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logger.info(
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f"Compress completed."
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f" {prev_tokens} -> {tokens_after_summary} tokens,"
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f" compression rate: {compress_rate:.2f}%.",
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)
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# last check
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if self.compressor.should_compress(
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messages, tokens_after_summary, self.config.max_context_tokens
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):
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logger.info(
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"Context still exceeds max tokens after compression, applying halving truncation..."
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)
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# still need compress, truncate by half
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messages = self.truncator.truncate_by_halving(messages)
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return messages
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