Files
hermes-agent/tests/run_agent/test_image_rejection_fallback.py
T
Al Cooke 0241619068 fix: retry text-only on Codex invalid image data errors
Treat the ChatGPT Codex invalid image-data 400 as an image rejection so Hermes strips image parts and retries text-only instead of aborting the session. Add coverage for the exact error wording.
2026-08-28 03:46:24 -07:00

192 lines
7.5 KiB
Python

"""Tests for the image-rejection fallback in run_agent.
When a server rejects image content (e.g. text-only endpoints), the agent
strips image parts from message history and retries text-only. These tests
verify that stripping preserves the role-alternation invariants providers
require, and that the phrase detector fires on the expected error bodies.
"""
from run_agent import _strip_images_from_messages
class TestStripImagesPreservesAlternation:
"""_strip_images_from_messages must not break message role alternation."""
def test_noop_when_no_images(self):
msgs = [
{"role": "user", "content": "hello"},
{"role": "assistant", "content": "hi"},
]
changed = _strip_images_from_messages(msgs)
assert changed is False
assert msgs == [
{"role": "user", "content": "hello"},
{"role": "assistant", "content": "hi"},
]
def test_tool_message_with_all_images_replaced_not_deleted(self):
"""CRITICAL: tool messages must NEVER be deleted — their tool_call_id
pairs with an assistant tool_call and providers reject unmatched IDs.
"""
msgs = [
{"role": "user", "content": "take a screenshot"},
{
"role": "assistant",
"content": None,
"tool_calls": [{
"id": "call_abc",
"type": "function",
"function": {"name": "computer_use", "arguments": "{}"},
}],
},
{
"role": "tool",
"tool_call_id": "call_abc",
"content": [
{"type": "image_url", "image_url": {"url": "data:image/png;base64,..."}},
],
},
]
changed = _strip_images_from_messages(msgs)
assert changed is True
# Length preserved — tool message NOT deleted
assert len(msgs) == 3
# tool_call_id still present
assert msgs[2]["tool_call_id"] == "call_abc"
# Content replaced with text placeholder (now a string, not a list)
assert isinstance(msgs[2]["content"], str)
assert "image content removed" in msgs[2]["content"].lower()
def test_tool_message_with_mixed_content_keeps_text_parts(self):
msgs = [
{"role": "user", "content": "screenshot plz"},
{
"role": "assistant",
"content": None,
"tool_calls": [{"id": "call_1", "type": "function", "function": {"name": "x", "arguments": "{}"}}],
},
{
"role": "tool",
"tool_call_id": "call_1",
"content": [
{"type": "text", "text": "Captured 1024x768"},
{"type": "image_url", "image_url": {"url": "data:..."}},
],
},
]
changed = _strip_images_from_messages(msgs)
assert changed is True
assert len(msgs) == 3
assert msgs[2]["content"] == [{"type": "text", "text": "Captured 1024x768"}]
assert msgs[2]["tool_call_id"] == "call_1"
def test_multiple_tool_messages_all_preserved(self):
"""Parallel tool calls: each tool_call_id must retain a paired message."""
msgs = [
{
"role": "assistant",
"content": None,
"tool_calls": [
{"id": "c1", "type": "function", "function": {"name": "x", "arguments": "{}"}},
{"id": "c2", "type": "function", "function": {"name": "x", "arguments": "{}"}},
],
},
{
"role": "tool",
"tool_call_id": "c1",
"content": [{"type": "image_url", "image_url": {}}],
},
{
"role": "tool",
"tool_call_id": "c2",
"content": [{"type": "image_url", "image_url": {}}],
},
]
changed = _strip_images_from_messages(msgs)
assert changed is True
tool_msgs = [m for m in msgs if m.get("role") == "tool"]
assert len(tool_msgs) == 2
assert {m["tool_call_id"] for m in tool_msgs} == {"c1", "c2"}
class TestImageRejectionPhraseIsolation:
"""The image-rejection phrase list must NOT false-match on other
image-related error categories (size-too-large, format errors, etc.)
so they route to the correct recovery handler (e.g. _try_shrink_image_parts).
"""
# Reproduces the phrase list used in run_agent.py's error-handler block.
_REJECTION_PHRASES = (
"only 'text' content type is supported",
"only text content type is supported",
"image_url is not supported",
"image content is not supported",
"multimodal is not supported",
"multimodal content is not supported",
"multimodal input is not supported",
"vision is not supported",
"vision input is not supported",
"does not support images",
"does not support image input",
"does not support multimodal",
"does not support vision",
"model does not support image",
"image_url'. expected",
"no endpoints found that support image input",
"failed to decode image",
"image data you provided does not represent a valid image",
)
def _matches(self, body: str) -> bool:
low = body.lower()
return any(p in low for p in self._REJECTION_PHRASES)
def test_kimi_truncated_image_trips_recovery(self):
# Kimi/Moonshot reject truncated image bytes with this 400; the
# bad bytes are in immutable history so stripping must fire.
body = ("HTTP 400: Invalid request: prepare image failed error, "
"status code: 400, message: failed to decode image: invalid "
"or unsupported image format")
assert self._matches(body) is True
def test_anthropic_image_too_large_does_not_trip(self):
# From agent/error_classifier.py _IMAGE_TOO_LARGE_PATTERNS —
# these must route to image_too_large / _try_shrink_image_parts_in_messages,
# NOT to our vision-unsupported fallback.
bodies = [
"messages.0.content.1.image.source.base64: image exceeds 5 MB maximum",
"image too large: 6291456 bytes > 5242880 limit",
"image_too_large",
"image size exceeds per-request limit",
]
for body in bodies:
assert self._matches(body) is False, f"false positive on: {body}"
def test_real_image_rejection_bodies_trip(self):
"""Positive cases — real-world error wordings that should trigger."""
bodies = [
"Only 'text' content type is supported.",
"Bad request: multimodal is not supported by this model",
"This model does not support images",
"vision is not supported on this endpoint",
"model does not support image input",
# ChatGPT-account Codex backend (issue #23570) — rejects
# data:image/...base64 URLs in input_image fields. Without this
# match the agent cascaded into compression / context-too-large
# recovery instead of just stripping the images.
"Invalid 'input[56].content[1].image_url'. Expected a valid URL, but got a value with an invalid format.",
"The image data you provided does not represent a valid image. Please check your input and try again.",
]
for body in bodies:
assert self._matches(body) is True, f"false negative on: {body}"