mirrors/hermes-agent
1
0
Fork 0
mirror of https://github.com/NousResearch/hermes-agent.git synced 2026-05-07 02:51:50 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions 7

Merge 7039020c9f into 4fade39c90

Browse source
This commit is contained in:
Evi Nova 2026-04-24 18:24:00 -05:00 • committed by GitHub
commit d26e7ac7ea
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
2 changed files with 158 additions and 20 deletions
Download patch file Download diff file Expand all files Collapse all files

34
agent/context_compressor.py
View file

@ -821,8 +821,8 @@ The user has requested that this compaction PRIORITISE preserving all informatio
self._summary_failure_cooldown_until = time.monotonic() + _SUMMARY_FAILURE_COOLDOWN_SECONDS
self._last_summary_error = "no auxiliary LLM provider configured"
logging.warning("Context compression: no provider available for "
"summary. Middle turns will be dropped without summary "
"for %d seconds.",
"summary. Preserving original messages and pausing "
"summary attempts for %d seconds.",
_SUMMARY_FAILURE_COOLDOWN_SECONDS)
return None
except Exception as e:
@ -1158,6 +1158,13 @@ The user has requested that this compaction PRIORITISE preserving all informatio
display_tokens = current_tokens if current_tokens else self.last_prompt_tokens or estimate_messages_tokens_rough(messages)
# Snapshot the original messages before any lossy modifications.
# _prune_old_tool_results() returns a NEW list (via [m.copy() for m in messages])
# so rebinding 'messages' below does not affect original_messages.
# If summary generation fails later, we return this exact list so
# the caller's conversation history is completely unmodified.
original_messages = messages
# Phase 1: Prune old tool results (cheap, no LLM call)
messages, pruned_count = self._prune_old_tool_results(
messages, protect_tail_count=self.protect_last_n,
@ -1174,7 +1181,7 @@ The user has requested that this compaction PRIORITISE preserving all informatio
compress_end = self._find_tail_cut_by_tokens(messages, compress_start)
if compress_start >= compress_end:
return messages
return original_messages
turns_to_summarize = messages[compress_start:compress_end]
@ -1217,19 +1224,18 @@ The user has requested that this compaction PRIORITISE preserving all informatio
)
compressed.append(msg)
# If LLM summary failed, insert a static fallback so the model
# knows context was lost rather than silently dropping everything.
# If LLM summary failed, preserve the original messages rather than
# destroying conversation history. Dropping turns without a summary
# causes permanent data loss — the model loses context of earlier work
# with no way to recover it. (#10719, #12131, #11914, #11585)
if not summary:
if not self.quiet_mode:
logger.warning("Summary generation failed — inserting static fallback context marker")
n_dropped = compress_end - compress_start
summary = (
f"{SUMMARY_PREFIX}\n"
f"Summary generation was unavailable. {n_dropped} conversation turns were "
f"removed to free context space but could not be summarized. The removed "
f"turns contained earlier work in this session. Continue based on the "
f"recent messages below and the current state of any files or resources."
)
logger.warning(
"Summary generation failed — preserving original messages "
"to prevent data loss (%d middle turns kept intact)",
compress_end - compress_start,
)
return original_messages
_merge_summary_into_tail = False
last_head_role = messages[compress_start - 1].get("role", "user") if compress_start > 0 else "user"