176 lines
7.2 KiB
Python
176 lines
7.2 KiB
Python
"""Tests for the image-rejection fallback in run_agent.
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When a server rejects image content (e.g. text-only endpoints), the agent
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strips image parts from message history and retries text-only. These tests
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verify that stripping preserves the role-alternation invariants providers
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require, and that the phrase detector fires on the expected error bodies.
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"""
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from run_agent import _looks_like_image_content_rejection, _strip_images_from_messages
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class TestStripImagesPreservesAlternation:
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"""_strip_images_from_messages must not break message role alternation."""
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def test_noop_when_no_images(self):
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msgs = [
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{"role": "user", "content": "hello"},
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{"role": "assistant", "content": "hi"},
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]
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changed = _strip_images_from_messages(msgs)
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assert changed is False
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assert msgs == [
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{"role": "user", "content": "hello"},
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{"role": "assistant", "content": "hi"},
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]
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def test_tool_message_with_all_images_replaced_not_deleted(self):
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"""CRITICAL: tool messages must NEVER be deleted — their tool_call_id
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pairs with an assistant tool_call and providers reject unmatched IDs.
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"""
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msgs = [
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{"role": "user", "content": "take a screenshot"},
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{
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"role": "assistant",
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"content": None,
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"tool_calls": [{
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"id": "call_abc",
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"type": "function",
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"function": {"name": "computer_use", "arguments": "{}"},
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}],
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},
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{
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"role": "tool",
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"tool_call_id": "call_abc",
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"content": [
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{"type": "image_url", "image_url": {"url": "data:image/png;base64,..."}},
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],
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},
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]
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changed = _strip_images_from_messages(msgs)
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assert changed is True
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# Length preserved — tool message NOT deleted
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assert len(msgs) == 3
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# tool_call_id still present
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assert msgs[2]["tool_call_id"] == "call_abc"
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# Content replaced with text placeholder (now a string, not a list)
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assert isinstance(msgs[2]["content"], str)
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assert "image content removed" in msgs[2]["content"].lower()
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def test_tool_message_with_mixed_content_keeps_text_parts(self):
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msgs = [
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{"role": "user", "content": "screenshot plz"},
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{
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"role": "assistant",
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"content": None,
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"tool_calls": [{"id": "call_1", "type": "function", "function": {"name": "x", "arguments": "{}"}}],
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},
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{
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"role": "tool",
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"tool_call_id": "call_1",
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"content": [
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{"type": "text", "text": "Captured 1024x768"},
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{"type": "image_url", "image_url": {"url": "data:..."}},
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],
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},
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]
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changed = _strip_images_from_messages(msgs)
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assert changed is True
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assert len(msgs) == 3
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assert msgs[2]["content"] == [{"type": "text", "text": "Captured 1024x768"}]
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assert msgs[2]["tool_call_id"] == "call_1"
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def test_multiple_tool_messages_all_preserved(self):
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"""Parallel tool calls: each tool_call_id must retain a paired message."""
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msgs = [
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{
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"role": "assistant",
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"content": None,
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"tool_calls": [
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{"id": "c1", "type": "function", "function": {"name": "x", "arguments": "{}"}},
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{"id": "c2", "type": "function", "function": {"name": "x", "arguments": "{}"}},
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],
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},
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{
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"role": "tool",
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"tool_call_id": "c1",
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"content": [{"type": "image_url", "image_url": {}}],
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},
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{
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"role": "tool",
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"tool_call_id": "c2",
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"content": [{"type": "image_url", "image_url": {}}],
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},
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]
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changed = _strip_images_from_messages(msgs)
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assert changed is True
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tool_msgs = [m for m in msgs if m.get("role") == "tool"]
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assert len(tool_msgs) == 2
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assert {m["tool_call_id"] for m in tool_msgs} == {"c1", "c2"}
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class TestImageRejectionPhraseIsolation:
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"""The image-rejection phrase list must NOT false-match on other
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image-related error categories (size-too-large, format errors, etc.)
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so they route to the correct recovery handler (e.g. _try_shrink_image_parts).
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"""
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def _matches(self, body: str) -> bool:
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return _looks_like_image_content_rejection(body)
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def test_kimi_truncated_image_trips_recovery(self):
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# Kimi/Moonshot reject truncated image bytes with this 400; the
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# bad bytes are in immutable history so stripping must fire.
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body = ("HTTP 400: Invalid request: prepare image failed error, "
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"status code: 400, message: failed to decode image: invalid "
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"or unsupported image format")
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assert self._matches(body) is True
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def test_anthropic_image_too_large_does_not_trip(self):
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# From agent/error_classifier.py _IMAGE_TOO_LARGE_PATTERNS —
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# these must route to image_too_large / _try_shrink_image_parts_in_messages,
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# NOT to our vision-unsupported fallback.
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bodies = [
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"messages.0.content.1.image.source.base64: image exceeds 5 MB maximum",
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"image too large: 6291456 bytes > 5242880 limit",
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"image_too_large",
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"image size exceeds per-request limit",
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]
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for body in bodies:
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assert self._matches(body) is False, f"false positive on: {body}"
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def test_real_image_rejection_bodies_trip(self):
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"""Positive cases — real-world error wordings that should trigger."""
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bodies = [
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"Only 'text' content type is supported.",
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"Bad request: multimodal is not supported by this model",
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"This model does not support images",
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"vision is not supported on this endpoint",
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"model does not support image input",
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# ChatGPT-account Codex backend (issue #23570) — rejects
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# data:image/...base64 URLs in input_image fields. Without this
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# match the agent cascaded into compression / context-too-large
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# recovery instead of just stripping the images.
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"Invalid 'input[56].content[1].image_url'. Expected a valid URL, but got a value with an invalid format.",
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# OpenRouter 404 when no upstream endpoint for the model accepts
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# image input — issue #21160. The exact wording from the report.
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"HTTP 404: No endpoints found that support image input",
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# Alibaba/OpenAI-compatible endpoints can reject image-bearing
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# messages without naming image_url explicitly. The first failed
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# turn should still switch to text-only/aux-vision mode (#57948).
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"The provided messages input is invalid. The error info is [Unexpected item type in content].",
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"The image data you provided does not represent a valid image. Please check your input and try again.",
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]
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for body in bodies:
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assert self._matches(body) is True, f"false negative on: {body}"
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