hermes-agent/tests/run_agent/test_image_shrink_recovery.py
Brooklyn Nicholson 88e136448d fix(agent): shrink anthropic-native image history
Retry image-size rejections by rewriting Anthropic base64 image source blocks, not just OpenAI-style image_url parts.
2026-06-22 18:23:21 -05:00

663 lines
27 KiB
Python

"""Tests for reactive image-shrink recovery.
Covers the full chain for Anthropic's 5 MB per-image ceiling (and any
future provider that returns an image-too-large error):
1. agent/error_classifier.py: 400 with "image exceeds 5 MB maximum"
gets FailoverReason.image_too_large, not context_overflow.
2. run_agent._try_shrink_image_parts_in_messages mutates the API
payload in-place, re-encoding native data: URL image parts to fit
under 4 MB using vision_tools._resize_image_for_vision.
The end-to-end wiring in the retry loop is not unit-tested here — it's
covered by the live E2E in the PR description. These tests lock in the
two pieces that matter independently: the classifier signal and the
payload rewriter.
"""
from __future__ import annotations
import base64
import sys
from types import SimpleNamespace
from agent.conversation_loop import _image_error_max_dimension
from agent.error_classifier import FailoverReason, classify_api_error
class _FakeApiError(Exception):
"""Stand-in for an openai.BadRequestError with status_code + body."""
def __init__(self, status_code: int, message: str, body: dict | None = None):
super().__init__(message)
self.status_code = status_code
self.body = body or {"error": {"message": message}}
self.response = None # required by some code paths
# ─── Classifier ──────────────────────────────────────────────────────────────
class TestImageTooLargeClassification:
def test_anthropic_400_image_exceeds_message(self):
"""Anthropic's exact wording must classify as image_too_large, not context."""
err = _FakeApiError(
status_code=400,
message=(
"messages.0.content.1.image.source.base64: image exceeds 5 MB "
"maximum: 12966600 bytes > 5242880 bytes"
),
)
result = classify_api_error(err, provider="anthropic", model="claude-sonnet-4-6")
assert result.reason == FailoverReason.image_too_large
assert result.retryable is True
def test_generic_image_too_large_no_status(self):
"""No status_code path: message text alone triggers classification."""
err = Exception("image too large for this endpoint")
result = classify_api_error(err, provider="some-provider", model="some-model")
assert result.reason == FailoverReason.image_too_large
assert result.retryable is True
def test_image_too_large_not_confused_with_context_overflow(self):
"""'image exceeds' must NOT be mis-classified as context_overflow.
The context_overflow patterns include 'exceeds the limit' which is a
superstring risk — verify the image-too-large check fires first.
"""
err = _FakeApiError(
status_code=400,
message="image exceeds the limit for this model",
)
result = classify_api_error(err, provider="anthropic", model="claude-sonnet-4-6")
assert result.reason == FailoverReason.image_too_large
def test_regular_context_overflow_unaffected(self):
"""Context-overflow errors without image keywords still classify correctly."""
err = _FakeApiError(
status_code=400,
message="prompt is too long: context length 300000 exceeds max of 200000",
)
result = classify_api_error(err, provider="anthropic", model="claude-sonnet-4-6")
assert result.reason == FailoverReason.context_overflow
def test_anthropic_many_image_dimension_limit(self):
"""OpenRouter-wrapped Anthropic many-image limits recover via shrink."""
err = _FakeApiError(
status_code=400,
message=(
"messages.21.content.43.image.source.base64.data: At least one "
"of the image dimensions exceed max allowed size for many-image "
"requests: 2000 pixels"
),
)
result = classify_api_error(err, provider="openrouter", model="anthropic/claude-opus-4.8")
assert result.reason == FailoverReason.image_too_large
assert result.retryable is True
assert _image_error_max_dimension(err) == 2000
# ─── Shrink helper ───────────────────────────────────────────────────────────
def _big_png_data_url(size_kb: int) -> str:
"""Build a data URL with a plausible large base64 payload."""
# Use real PNG header so MIME detection works; fill to target size.
raw = b"\x89PNG\r\n\x1a\n" + b"X" * (size_kb * 1024)
return "data:image/png;base64," + base64.b64encode(raw).decode("ascii")
def _install_fake_pillow(
monkeypatch,
size: tuple[int, int],
*,
shrunk_size: tuple[int, int] | None = None,
sizes: list[tuple[int, int]] | None = None,
) -> None:
"""Install the tiny subset of Pillow used by the shrink preflight.
The shrink helper decodes pixel dimensions twice for the dimension path:
once on the *original* data URL (to decide it's oversized) and once on the
*re-encoded* result (to confirm the downscale landed under the cap). To
model that honestly, ``_FakeImage`` can return a sequence of sizes across
successive ``open()`` calls:
* ``sizes=[...]`` — explicit per-call size list (clamped to last).
* ``shrunk_size=(w, h)`` — shorthand for ``[size, shrunk_size]``: first
decode is the oversized original, second is the in-cap re-encode.
* neither — every decode returns ``size`` (legacy behaviour).
"""
call_count = {"n": 0}
target_sizes = sizes or [
size,
shrunk_size if shrunk_size is not None else size,
]
class _FakeImage:
def __init__(self):
self.size = target_sizes[min(call_count["n"], len(target_sizes) - 1)]
call_count["n"] += 1
def __enter__(self):
return self
def __exit__(self, *exc):
return False
class _FakeImageModule:
@staticmethod
def open(_data):
return _FakeImage()
monkeypatch.setitem(sys.modules, "PIL", SimpleNamespace(Image=_FakeImageModule))
monkeypatch.setitem(sys.modules, "PIL.Image", _FakeImageModule)
def _make_agent():
"""Build a bare AIAgent for method-level testing, no provider setup."""
from run_agent import AIAgent
agent = object.__new__(AIAgent)
agent.provider = "anthropic"
agent.model = "claude-sonnet-4-6"
return agent
class TestShrinkImagePartsHelper:
def test_no_messages_returns_false(self):
agent = _make_agent()
assert agent._try_shrink_image_parts_in_messages([]) is False
assert agent._try_shrink_image_parts_in_messages(None) is False
def test_no_image_parts_returns_false(self):
agent = _make_agent()
msgs = [
{"role": "user", "content": "plain text"},
{"role": "assistant", "content": "ack"},
]
assert agent._try_shrink_image_parts_in_messages(msgs) is False
def test_small_image_part_not_shrunk(self, monkeypatch):
"""An image under 4 MB is left alone — shrink helper only touches oversized ones."""
agent = _make_agent()
small_url = _big_png_data_url(100) # ~100 KB + b64 overhead
resize_hits = {"count": 0}
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
lambda *a, **kw: resize_hits.__setitem__("count", resize_hits["count"] + 1) or small_url,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "text", "text": "hi"},
{"type": "image_url", "image_url": {"url": small_url}},
],
}]
assert agent._try_shrink_image_parts_in_messages(msgs) is False
assert resize_hits["count"] == 0
# URL unchanged.
assert msgs[0]["content"][1]["image_url"]["url"] == small_url
def test_oversized_image_url_dict_shape_rewritten(self, monkeypatch):
"""OpenAI chat.completions shape: {image_url: {url: data:...}}."""
agent = _make_agent()
oversized_url = _big_png_data_url(5000) # ~5 MB raw → ~6.7 MB b64
shrunk = "data:image/jpeg;base64," + "A" * 1000 # small
def _fake_resize(path, mime_type=None, max_base64_bytes=None, max_dimension=None):
return shrunk
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
_fake_resize,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "text", "text": "look"},
{"type": "image_url", "image_url": {"url": oversized_url}},
],
}]
changed = agent._try_shrink_image_parts_in_messages(msgs)
assert changed is True
assert msgs[0]["content"][1]["image_url"]["url"] == shrunk
def test_many_image_dimension_limit_rewritten(self, monkeypatch):
"""A 2000px many-image rejection must shrink images below the cap."""
agent = _make_agent()
# Original decodes oversized (2501px); the re-encode decodes in-cap.
_install_fake_pillow(monkeypatch, (2501, 100), shrunk_size=(1500, 60))
oversized_for_many = _big_png_data_url(100)
shrunk = "data:image/jpeg;base64," + "M" * 1000
seen = {}
def _fake_resize(path, mime_type=None, max_base64_bytes=None, max_dimension=None):
seen["max_dimension"] = max_dimension
return shrunk
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
_fake_resize,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": oversized_for_many}},
],
}]
changed = agent._try_shrink_image_parts_in_messages(
msgs,
max_dimension=2000,
)
assert changed is True
assert seen["max_dimension"] == 2000
assert msgs[0]["content"][0]["image_url"]["url"] == shrunk
def test_anthropic_base64_image_source_rewritten(self, monkeypatch):
"""Anthropic-native image blocks are shrinkable after adapter conversion."""
agent = _make_agent()
_install_fake_pillow(monkeypatch, (2501, 100), shrunk_size=(1500, 60))
original = _big_png_data_url(100)
_, _, original_data = original.partition(",")
shrunk = "data:image/jpeg;base64," + "N" * 1000
seen = {}
def _fake_resize(path, mime_type=None, max_base64_bytes=None, max_dimension=None):
seen["mime_type"] = mime_type
seen["max_dimension"] = max_dimension
return shrunk
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
_fake_resize,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/png",
"data": original_data,
},
},
],
}]
changed = agent._try_shrink_image_parts_in_messages(
msgs,
max_dimension=2000,
)
source = msgs[0]["content"][0]["source"]
assert changed is True
assert seen["mime_type"] == "image/png"
assert seen["max_dimension"] == 2000
assert source["type"] == "base64"
assert source["media_type"] == "image/jpeg"
assert source["data"] == "N" * 1000
def test_oversized_input_image_string_shape_rewritten(self, monkeypatch):
"""OpenAI Responses shape: {type: input_image, image_url: "data:..."}."""
agent = _make_agent()
oversized_url = _big_png_data_url(5000)
shrunk = "data:image/jpeg;base64," + "B" * 1000
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
lambda *a, **kw: shrunk,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "input_text", "text": "look"},
{"type": "input_image", "image_url": oversized_url},
],
}]
changed = agent._try_shrink_image_parts_in_messages(msgs)
assert changed is True
assert msgs[0]["content"][1]["image_url"] == shrunk
def test_multiple_images_all_shrunk(self, monkeypatch):
agent = _make_agent()
big1 = _big_png_data_url(5000)
big2 = _big_png_data_url(6000)
shrunk = "data:image/jpeg;base64," + "C" * 500
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
lambda *a, **kw: shrunk,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "text", "text": "compare"},
{"type": "image_url", "image_url": {"url": big1}},
{"type": "image_url", "image_url": {"url": big2}},
],
}]
changed = agent._try_shrink_image_parts_in_messages(msgs)
assert changed is True
assert msgs[0]["content"][1]["image_url"]["url"] == shrunk
assert msgs[0]["content"][2]["image_url"]["url"] == shrunk
def test_http_url_images_not_touched(self, monkeypatch):
"""Only data: URLs are candidates — http URLs are server-fetched."""
agent = _make_agent()
resize_hits = {"count": 0}
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
lambda *a, **kw: resize_hits.__setitem__("count", resize_hits["count"] + 1) or "shrunk",
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "text", "text": "at this url"},
{"type": "image_url", "image_url": {"url": "https://example.com/big.png"}},
],
}]
assert agent._try_shrink_image_parts_in_messages(msgs) is False
assert resize_hits["count"] == 0
def test_shrink_failure_returns_false_and_leaves_url_intact(self, monkeypatch):
"""If re-encode fails, leave the URL alone so the caller surfaces the original error."""
agent = _make_agent()
oversized_url = _big_png_data_url(5000)
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
lambda *a, **kw: None, # resize returned nothing usable
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": oversized_url}},
],
}]
assert agent._try_shrink_image_parts_in_messages(msgs) is False
assert msgs[0]["content"][0]["image_url"]["url"] == oversized_url
def test_shrink_that_makes_it_bigger_rejected(self, monkeypatch):
"""If the 'shrink' somehow produces a larger payload, skip it."""
agent = _make_agent()
oversized_url = _big_png_data_url(5000)
even_bigger = "data:image/png;base64," + "Z" * (10 * 1024 * 1024)
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
lambda *a, **kw: even_bigger,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": oversized_url}},
],
}]
assert agent._try_shrink_image_parts_in_messages(msgs) is False
# Original URL still in place, not replaced by the bigger one.
assert msgs[0]["content"][0]["image_url"]["url"] == oversized_url
def test_mixed_one_shrinkable_one_not_returns_false(self, monkeypatch):
"""Regression for the wedged-session incident (May 2026).
When one oversized image shrinks but another oversized image can't,
the helper must return False — retrying would re-send the surviving
oversized payload and fail identically, burning the single retry on a
no-op. The original bug returned True after shrinking *any* part,
which is what permanently wedged a session whose history held a 12 MB
tool-result image alongside a freshly-loaded shrinkable one.
"""
agent = _make_agent()
shrinkable = _big_png_data_url(5000)
unshrinkable = _big_png_data_url(6000)
small = "data:image/jpeg;base64," + "C" * 500
# _resize_image_for_vision returns small for the shrinkable input but
# echoes the oversized payload back for the unshrinkable one.
def fake_resize(path, *a, **kw):
# The temp file written by the helper contains the decoded bytes;
# distinguish by size — the 6000 KB source stays "big".
try:
size = path.stat().st_size
except Exception:
size = 0
if size > 5500 * 1024:
return unshrinkable # can't reduce — echo oversized back
return small
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
fake_resize,
raising=False,
)
msgs = [{
"role": "tool",
"content": [
{"type": "image_url", "image_url": {"url": shrinkable}},
{"type": "image_url", "image_url": {"url": unshrinkable}},
],
}]
# One part shrank, one survived oversized → must NOT retry.
assert agent._try_shrink_image_parts_in_messages(msgs) is False
# The shrinkable one was still re-encoded (mutated in place).
assert msgs[0]["content"][0]["image_url"]["url"] == small
# The unshrinkable one is left as-is (caller surfaces original error).
assert msgs[0]["content"][1]["image_url"]["url"] == unshrinkable
# ------------------------------------------------------------------
# #48013: the dimension path must accept a pixel-correct downscale even
# when the re-encoded PNG grew in bytes. Before the fix, the byte gate
# (`len(resized) >= len(url)`) discarded the dimension-correct result and
# left the image oversized, bricking the session on the Anthropic
# many-image 2000px path.
# ------------------------------------------------------------------
def test_dimension_shrink_with_byte_growth_accepted(self, monkeypatch):
"""A dimension-driven shrink is accepted even if its bytes grow.
Regression for #48013. The original (2501px, under the 4 MB byte
budget) is oversized on pixels only. The re-encode lands at 1500px
(in-cap) but is *larger in bytes* — the historical byte gate would
reject it. The fix keys the accept gate on the binding constraint
(dimensions), so the pixel-correct result is kept.
"""
agent = _make_agent()
_install_fake_pillow(monkeypatch, (2501, 100), shrunk_size=(1500, 60))
original_url = _big_png_data_url(100) # ~100 KB → well under 4 MB
# A *byte-larger* re-encode (the brick trigger): 200 KB payload.
dimensionally_shrunk = "data:image/png;base64," + "G" * 200 * 1024
seen = {}
def _fake_resize(path, mime_type=None, max_base64_bytes=None, max_dimension=None):
seen["max_dimension"] = max_dimension
return dimensionally_shrunk
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
_fake_resize,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": original_url}},
],
}]
# The re-encode is byte-LARGER than the original — proves the byte gate
# is no longer the rejection driver on the dimension path.
assert len(dimensionally_shrunk) > len(original_url)
assert agent._try_shrink_image_parts_in_messages(
msgs, max_dimension=2000,
) is True
assert seen["max_dimension"] == 2000
assert msgs[0]["content"][0]["image_url"]["url"] == dimensionally_shrunk
def test_dimension_shrink_failure_still_blocks_retry(self, monkeypatch):
"""A dimension-oversized image that stays oversized is unshrinkable.
If the re-encode is *still* over the per-side cap, the helper must
report no progress (return False) so the one-shot retry isn't burned
re-sending a payload the provider already rejected.
"""
agent = _make_agent()
# Both decodes report oversized: original and re-encode are 2501px.
_install_fake_pillow(monkeypatch, (2501, 100))
original_url = _big_png_data_url(100)
still_oversized = "data:image/png;base64," + "H" * 120 * 1024
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
lambda *a, **kw: still_oversized,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": original_url}},
],
}]
assert agent._try_shrink_image_parts_in_messages(
msgs, max_dimension=2000,
) is False
# Original left untouched — caller surfaces the provider's 400.
assert msgs[0]["content"][0]["image_url"]["url"] == original_url
def test_mixed_dimension_partial_progress_returns_false(self, monkeypatch):
"""Partial dimension-path progress must not falsely burn the retry.
Two dimension-oversized images: the first re-encodes in-cap, the
second stays oversized. Even though one part changed, an oversized
image survives, so retrying would 400 again — the helper must report
False. (Mirrors the byte-path
``test_mixed_one_shrinkable_one_not_returns_false`` invariant for the
pixel axis.)
"""
agent = _make_agent()
# Decode order: img1 orig (2501) -> img1 re-encode (1500, in-cap) ->
# img2 orig (2501) -> img2 re-encode (2501, still over).
_install_fake_pillow(
monkeypatch,
(2501, 100),
sizes=[(2501, 100), (1500, 60), (2501, 100), (2501, 100)],
)
first = _big_png_data_url(100)
second = _big_png_data_url(90)
calls = {"n": 0}
def _fake_resize(path, mime_type=None, max_base64_bytes=None, max_dimension=None):
calls["n"] += 1
if calls["n"] == 1:
return "data:image/png;base64," + "G" * 200 * 1024 # in-cap
return "data:image/png;base64," + "H" * 120 * 1024 # still over
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
_fake_resize,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": first}},
{"type": "image_url", "image_url": {"url": second}},
],
}]
assert agent._try_shrink_image_parts_in_messages(
msgs, max_dimension=2000,
) is False
def test_byte_oversized_but_pixel_oversized_after_shrink_blocks_retry(self, monkeypatch):
"""Bytes-triggered shrink must ALSO honour the active per-side cap.
Adversarial-review regression (#48013, round 2): an image over BOTH the
4 MB byte budget AND the per-side pixel cap can be byte-shrunk yet stay
over the cap (``_resize_image_for_vision`` returns a best-effort blob
when it exhausts its halving budget on a very-high-aspect image). The
byte-path accept gate originally checked only ``len(resized) < len(url)``
and reported success, so the caller retried and the provider re-rejected
on dimensions — re-bricking the session. The fix re-checks the pixel
cap on the byte path too; a still-over-cap result must be unshrinkable.
"""
agent = _make_agent()
# On the BYTE path, _decode_pixels is called once — on the RESIZED blob.
# Script that single decode to report still-over-cap dims (2560 > 2000).
_install_fake_pillow(monkeypatch, (2560, 64), sizes=[(2560, 64)])
# Over the 4 MB byte budget so the BYTE path is taken (triggered_by="bytes").
oversized_url = _big_png_data_url(5000) # ~5 MB raw → ~6.7 MB b64
# Byte-SMALLER re-encode, but its decoded dims are still over the cap.
byte_smaller_still_over = "data:image/png;base64," + "K" * 1000
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
lambda *a, **kw: byte_smaller_still_over,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": oversized_url}},
],
}]
# Bytes shrank, but the per-side cap is still violated → no real
# progress; the helper must NOT report success (would burn the retry).
assert len(byte_smaller_still_over) < len(oversized_url)
assert agent._try_shrink_image_parts_in_messages(
msgs, max_dimension=2000,
) is False
# Original left in place — caller surfaces the provider's 400.
assert msgs[0]["content"][0]["image_url"]["url"] == oversized_url
def test_byte_oversized_with_no_dim_cap_accepts_byte_shrink(self, monkeypatch):
"""Bytes path with the default 8000px cap still accepts a byte shrink.
Guards the fix above against over-reach: when no tight dimension cap is
active (default 8000px) and the byte-shrunk re-encode is comfortably
within it, the byte path must keep accepting on byte-shrinkage alone.
"""
agent = _make_agent()
# Byte path → single _decode_pixels call on the resized blob; report
# in-cap dims so the byte-shrink is accepted under the default 8000 cap.
_install_fake_pillow(monkeypatch, (1250, 50), sizes=[(1250, 50)])
oversized_url = _big_png_data_url(5000)
shrunk = "data:image/jpeg;base64," + "L" * 1000
monkeypatch.setattr(
"tools.vision_tools._resize_image_for_vision",
lambda *a, **kw: shrunk,
raising=False,
)
msgs = [{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": oversized_url}},
],
}]
# Default cap (8000) — no explicit max_dimension passed.
assert agent._try_shrink_image_parts_in_messages(msgs) is True
assert msgs[0]["content"][0]["image_url"]["url"] == shrunk