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refactor: move message summarization into SummarizeMessages - #7815
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Keep context compaction in one class so agent_utils only starts the summary when the context window is exceeded.
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Included review availability: This review used your included allowance. Your plan provides up to 10 included reviews per hour; 6 remain after this review. 📝 WalkthroughWalkthroughMessage summarization moves into ChangesMessage summarization
Sequence Diagram(s)sequenceDiagram
participant AgentUtils
participant SummarizeMessages
participant LLM
AgentUtils->>SummarizeMessages: pass messages and summarization options
SummarizeMessages->>SummarizeMessages: prepare and chunk non-system messages
SummarizeMessages->>LLM: call acall for chunk summaries
LLM-->>SummarizeMessages: return chunk summaries
SummarizeMessages->>SummarizeMessages: replace non-system history with summary
Priority: ⬇️ Low Merge Risk: 🔵 Low · up to When a conversation is too long to summarize, the retry can send the same rejected request up to three times before failing, which adds latency and cost. History integrity and normal summarization are not affected. This can be followed up after merge. Security Architecture ReviewSecurity architecture risk: 🔵 Low · up to The summarization flow changes how long conversations recover from context limits, but the reviewed path retains its existing entry point and context-window setting. No new privilege or data boundary was established. The behavior of production callers under concurrent use remains uncertain. Retained concerns Security review detailsSecurity Blast Radius
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🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
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Inline comments:
Review comments at @lib/crewai/src/crewai/utilities/summarize_messages.py:
- Around line 80-86: Update _summarize_all to handle a single chunk by invoking
self.llm.call through _summarize_one, while retaining self.llm.acall for
parallel multi-chunk summaries. Ensure one-chunk compaction works with BaseLLM
implementations that provide call but not acall.
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Reuse one summarizer instance and drop the separate module now that compaction lives next to summarize_messages.
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Actionable comments posted: 1
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Inline comments:
Review comments at @lib/crewai/src/crewai/utilities/agent_utils.py:
- Around line 892-895: Update summarize_messages to create a fresh
SummarizeMessages instance for each call instead of using the shared _SUMMARIZER
object, and remove the module-level _SUMMARIZER instance so per-call state
cannot leak across concurrent summaries.
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When a chunk hits the context window during summarization, re-chunk at 3 and 2.5 chars per token before failing.
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Inline comments:
Review comments at @lib/crewai/src/crewai/utilities/agent_utils.py:
- Around line 981-982: Update _summarize_one so that when _chunk_messages
returns the unchanged single chunk, it advances to the next tighter estimate
without retrying the same prompt. Continue until the chunk changes, splitting
fails, or no levels remain; in the latter cases, raise the existing
LLMContextLengthExceededError.
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Chunk at levels 4/3/2.5 chars per token and recurse through summarize until index 3 raises.
Keep chars-per-token retry levels as a class constant instead of module scope.
Assert chunking uses indices 0–2 when context overflows twice before a successful summary.
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Inline comments:
Review comments at @lib/crewai/src/crewai/utilities/agent_utils.py:
- Around line 990-995: Update the context-overflow retry in `_summarize_one` to
split the chunk at the next character level and await `_summarize_one` for each
sub-chunk with `asyncio.gather`, then combine the summaries. Preserve the
retry-limit and unsplittable-chunk error behavior, and remove the now-unneeded
retry branch in `summarize`.
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Avoid sharing one summarizer across concurrent context-window recoveries.
Re-chunk failed chunks at tighter token levels with gather instead of calling summarize recursively.
Per-chunk summarization is only reachable from _summarize_all or its own retry path; tests exercise _summarize_all instead of calling _summarize_one directly.

Related issue
Fixes #
Summary
Moves context compaction out of
agent_utilsinto aSummarizeMessagesclass.summarize_messagesstill starts the summary when the context window is exceeded, and every chunk now goes through one_summarize_onecoroutine.Verification
tests/utilities/test_agent_utils.py(109 passed). Pre-commit ruff and mypy passed.Additional context
None.
Note
Medium Risk
Changes how agents recover from oversized history (async-only summarization plus new retry heuristics); wrong retries could drop detail or loop on edge cases, though behavior is heavily tested.
Overview
Context compaction when the window is exceeded is refactored into a
SummarizeMessagesclass; the publicsummarize_messagesAPI still mutates the message list in place (system prompts, merged user files, single summary turn).Summarization execution now always runs through
_summarize_allandllm.acall, including a single chunk—the old syncllm.callpath is removed. Multi-chunk work still uses parallelasyncio.gather, with the existing event-loopThreadPoolExecutorfallback unchanged.New resilience: if a summarization call hits a context-length error, the code retries with progressively tighter chars-per-token estimates (4.0 → 3.0 → 2.5), re-chunking and re-summarizing until success or a hard failure. Chunking/formatting helpers that used to be module-level functions live on the class as
_chunk_messages,_conversation_text,_approx_tokens, etc.Tests were retargeted to the class and
acall, with coverage for the retry ladder and context-length recovery.Reviewed by Cursor Bugbot for commit a3f6db0. Bugbot is set up for automated code reviews on this repo. Configure here.