hermes-agent/tests/test_output_cap_parsing.py
Teknium 1fb99b1f22
fix(stream+output-cap): guard empty streams and parse OpenRouter output-cap errors (#40589)
Two isolated reliability fixes:
- chat_completion_helpers: raise on a zero-chunk stream (no finish_reason,
  no content/reasoning/tool_calls) so retry handles it instead of
  fabricating a successful empty turn.
- model_metadata: parse the OpenRouter/Nous output-cap error phrasing
  ("maximum context length is N ... (A of text input, B of tool input,
  C in the output)") so parse_available_output_tokens_from_error returns
  a real cap and the caller stops looping on it.

Salvaged from #40405 (@ashishpatel26) — took the two stream/error-parsing
fixes. The PR also bundled compression-state changes (on_session_start
clearing _previous_summary; cron session-id prefix preservation, #38788);
those touch the compression hot path and are split out for separate review.

Co-authored-by: ashishpatel26 <ashishpatel26@users.noreply.github.com>
2026-06-07 03:52:09 -07:00

27 lines
1.3 KiB
Python

import pytest
from agent.model_metadata import parse_available_output_tokens_from_error
class TestParseOpenRouterOutputCap:
"""OpenRouter/Nous phrase the output-cap error as a context breakdown."""
def test_openrouter_breakdown_format(self):
msg = ("This endpoint's maximum context length is 200000 tokens. "
"However, you requested about 195000 tokens "
"(150000 of text input, 40000 of tool input, 5000 in the output).")
# available output = 200000 - 150000 - 40000 = 10000
assert parse_available_output_tokens_from_error(msg) == 10000
def test_anthropic_format_still_works(self):
msg = ("max_tokens: 32768 > context_window: 200000 - "
"input_tokens: 190000 = available_tokens: 10000")
assert parse_available_output_tokens_from_error(msg) == 10000
def test_non_output_cap_error_returns_none(self):
assert parse_available_output_tokens_from_error("some unrelated 400 error") is None
def test_breakdown_with_no_room_returns_none(self):
# ctx - text - tool <= 0 -> None (don't return a non-positive cap)
msg = ("maximum context length is 1000 tokens "
"(900 of text input, 200 of tool input, 0 in the output)")
assert parse_available_output_tokens_from_error(msg) is None