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fix(conversation-loop): tailor length-continuation prompt for partial stream

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The length-continue path's user-facing vprint and continuation prompt
both told the model "your response was truncated by the output length
limit." That's a lie when the stub came from a partial-stream network
error (issue #30963) — and a lie the model can detect, leading to "I
wasn't truncated, I'm done" no-op responses that defeat the
continuation entirely.

Detect the partial-stream-stub via response.id and swap in:

- vprint:   "Stream interrupted by network error
             (finish_reason='length' on partial-stream-stub)"
- prompt:   "[System: The previous response was cut off by a network
             error mid-stream. Continue exactly where you left off.
             Do not restart or repeat prior text. Finish the answer
             directly.]"

Real length truncations still see the original "truncated by output
length limit" prompt — the model needs to know which class of failure
it's recovering from. Same length_continue_retries=3 budget,
truncated_response_parts merging, and final-response stitching
infrastructure on both branches.

Refs: NousResearch/hermes-agent#30963
This commit is contained in:
xxxigm 2026-05-23 22:05:55 +07:00 • committed by Teknium
parent 9140be7c22
commit 20b3703a42
1 changed files with 42 additions and 8 deletions
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50
agent/conversation_loop.py
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@ -1414,7 +1414,18 @@ def run_conversation(
finish_reason = "length"
if finish_reason == "length":
agent._vprint(f"{agent.log_prefix}⚠️ Response truncated (finish_reason='length') - model hit max output tokens", force=True)
if getattr(response, "id", "") == "partial-stream-stub":
agent._vprint(
f"{agent.log_prefix}⚠️ Stream interrupted by network error "
f"(finish_reason='length' on partial-stream-stub)",
force=True,
)
else:
agent._vprint(
f"{agent.log_prefix}⚠️ Response truncated "
f"(finish_reason='length') - model hit max output tokens",
force=True,
)
# Normalize the truncated response to a single OpenAI-style
# message shape so text-continuation and tool-call retry
@ -1507,17 +1518,40 @@ def run_conversation(
truncated_response_parts.append(assistant_message.content)
if length_continue_retries < 3:
agent._vprint(
f"{agent.log_prefix}↻ Requesting continuation "
f"({length_continue_retries}/3)..."
# Distinguish a real output-token truncation
# from a partial-stream-stub network error
# (#30963). Same continuation machinery,
# but the prompt has to tell the truth or
# the model goes off rails ("I wasn't
# truncated, I'm done").
_is_partial_stream_stub = (
getattr(response, "id", "") == "partial-stream-stub"
)
continue_msg = {
"role": "user",
"content": (
if _is_partial_stream_stub:
agent._vprint(
f"{agent.log_prefix}↻ Stream interrupted — "
f"requesting continuation "
f"({length_continue_retries}/3)..."
)
_continue_content = (
"[System: The previous response was cut off by a "
"network error mid-stream. Continue exactly where "
"you left off. Do not restart or repeat prior text. "
"Finish the answer directly.]"
)
else:
agent._vprint(
f"{agent.log_prefix}↻ Requesting continuation "
f"({length_continue_retries}/3)..."
)
_continue_content = (
"[System: Your previous response was truncated by the output "
"length limit. Continue exactly where you left off. Do not "
"restart or repeat prior text. Finish the answer directly.]"
),
)
continue_msg = {
"role": "user",
"content": _continue_content,
}
messages.append(continue_msg)
agent._session_messages = messages