mirror of
https://github.com/BerriAI/litellm.git
synced 2026-09-27 01:22:18 +00:00
f6882246d4
* ci: run the unit_selection.sh shard files on every event instead of only fork pull requests Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: rename fork-flag to unit-flag now that it applies on every event * test: move tests/test_litellm root and small trees into tests/unit Pure renames, no content changes. Follow-up commits in this PR fix references, merge the three files that already existed in tests/unit, keep live-provider tests in tests/test_litellm and wire CI. * test: carry tests/test_litellm conftest isolation into tests/unit Callback lists, routing fallbacks, cached HTTP clients, logger state, AWS, proxy-URL and keychain env, and session-end client cleanup now reset for unit tests too. The environment isolation owns its MonkeyPatch so a test's own monkeypatch is undone before the model-cost teardown runs. * test: merge, split and prune the moved root and small-tree tests Merge batches/test_batch_utils.py and the chat_completions and messages dispatch tests into the files that already existed in tests/unit. Keep the live Gemini interactions tests, the async image-fetch format test and the OpenAI embedding scorer test in tests/test_litellm since they need real network or keys. Put test_router.py under tests/unit/test_router so the existing package no longer shadows it. Delete eight tests the audit found superseded by stronger ones kept in this move. * ci: run the moved root and small-tree tests under their legacy flags Add the misc and responses-caching-types flags to unit_selection.sh and CircleCI, extend enterprise-routing and mcp-integration, and point the legacy GHA shards, Makefile, redis-compat workflow, merge smoke manifest and change classifier at the new paths. * test: make the new tests/unit directories packages tests/unit/test_package_layout.py requires every directory to carry an __init__.py, and without one the moved and retained test_litellm_responses_bridge.py modules collide on import. * test: scope the unit socket block to tests/unit in shared sessions The GHA shards collect the legacy test-path and the unit selection in one pytest session. The unit conftest's loopback-only block leaked into legacy modules that reach the network at import. The legacy conftest now lifts the restriction at collect and setup time, and the unit conftest re-applies it when collecting its own modules. * test: give the shard-script tests their own GITHUB_OUTPUT They only passed where the runner set it. The CircleCI unit job's env allowlist drops it, so the script's redirect failed there. * test: point the router and module-deletion checks at tests/unit router_code_coverage and code_qa_check_tests only searched tests/test_litellm, so the moved router tests no longer counted. The two silent-experiment tests the audit deleted were the only direct callers of those methods; they are replaced with tests that assert the forwarded shadow request and the recursion guard. --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
251 lines
8.1 KiB
Python
251 lines
8.1 KiB
Python
"""
|
|
Test that stream_chunk_builder correctly preserves images from streaming chunks.
|
|
|
|
This tests the fix for https://github.com/BerriAI/litellm/issues/19478
|
|
where images from models like gemini-2.5-flash-image were lost when
|
|
rebuilding the response from streaming chunks.
|
|
"""
|
|
|
|
import pytest
|
|
import litellm
|
|
from litellm import stream_chunk_builder
|
|
|
|
|
|
def test_stream_chunk_builder_preserves_images():
|
|
"""
|
|
Test that stream_chunk_builder correctly preserves images from streaming chunks.
|
|
"""
|
|
# Simulate streaming chunks from an image generation model
|
|
init_chunks = [
|
|
{
|
|
"id": "chatcmpl-image-test",
|
|
"choices": [
|
|
{
|
|
"index": 0,
|
|
"delta": {
|
|
"role": "assistant",
|
|
},
|
|
"finish_reason": None,
|
|
}
|
|
],
|
|
"created": 1737654321,
|
|
"model": "gemini/gemini-2.5-flash-image",
|
|
"object": "chat.completion.chunk",
|
|
},
|
|
{
|
|
"id": "chatcmpl-image-test",
|
|
"choices": [
|
|
{
|
|
"index": 0,
|
|
"delta": {
|
|
"images": [
|
|
{
|
|
"image_url": {
|
|
"url": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==",
|
|
"detail": "auto",
|
|
},
|
|
"index": 0,
|
|
"type": "image_url",
|
|
}
|
|
],
|
|
},
|
|
"finish_reason": None,
|
|
}
|
|
],
|
|
"created": 1737654321,
|
|
"model": "gemini/gemini-2.5-flash-image",
|
|
"object": "chat.completion.chunk",
|
|
},
|
|
{
|
|
"id": "chatcmpl-image-test",
|
|
"choices": [
|
|
{
|
|
"index": 0,
|
|
"delta": {},
|
|
"finish_reason": "stop",
|
|
}
|
|
],
|
|
"created": 1737654321,
|
|
"model": "gemini/gemini-2.5-flash-image",
|
|
"object": "chat.completion.chunk",
|
|
},
|
|
]
|
|
|
|
chunks = []
|
|
for chunk in init_chunks:
|
|
chunks.append(litellm.ModelResponseStream(**chunk))
|
|
|
|
response = stream_chunk_builder(chunks=chunks)
|
|
|
|
# Verify that images are preserved in the rebuilt response
|
|
assert (
|
|
response.choices[0].message.images is not None
|
|
), "Images should be preserved in stream_chunk_builder"
|
|
assert len(response.choices[0].message.images) == 1, "Should have exactly 1 image"
|
|
assert response.choices[0].message.images[0]["type"] == "image_url"
|
|
assert "base64" in response.choices[0].message.images[0]["image_url"]["url"]
|
|
|
|
|
|
def test_stream_chunk_builder_preserves_multiple_images():
|
|
"""
|
|
Test that stream_chunk_builder correctly preserves multiple images from different chunks.
|
|
"""
|
|
init_chunks = [
|
|
{
|
|
"id": "chatcmpl-multi-image-test",
|
|
"choices": [
|
|
{
|
|
"index": 0,
|
|
"delta": {
|
|
"role": "assistant",
|
|
"content": "Here are your images:",
|
|
},
|
|
"finish_reason": None,
|
|
}
|
|
],
|
|
"created": 1737654321,
|
|
"model": "gemini/gemini-2.5-flash-image",
|
|
"object": "chat.completion.chunk",
|
|
},
|
|
{
|
|
"id": "chatcmpl-multi-image-test",
|
|
"choices": [
|
|
{
|
|
"index": 0,
|
|
"delta": {
|
|
"images": [
|
|
{
|
|
"image_url": {
|
|
"url": "data:image/png;base64,image1data",
|
|
"detail": "auto",
|
|
},
|
|
"index": 0,
|
|
"type": "image_url",
|
|
}
|
|
],
|
|
},
|
|
"finish_reason": None,
|
|
}
|
|
],
|
|
"created": 1737654321,
|
|
"model": "gemini/gemini-2.5-flash-image",
|
|
"object": "chat.completion.chunk",
|
|
},
|
|
{
|
|
"id": "chatcmpl-multi-image-test",
|
|
"choices": [
|
|
{
|
|
"index": 0,
|
|
"delta": {
|
|
"images": [
|
|
{
|
|
"image_url": {
|
|
"url": "data:image/png;base64,image2data",
|
|
"detail": "auto",
|
|
},
|
|
"index": 1,
|
|
"type": "image_url",
|
|
}
|
|
],
|
|
},
|
|
"finish_reason": None,
|
|
}
|
|
],
|
|
"created": 1737654321,
|
|
"model": "gemini/gemini-2.5-flash-image",
|
|
"object": "chat.completion.chunk",
|
|
},
|
|
{
|
|
"id": "chatcmpl-multi-image-test",
|
|
"choices": [
|
|
{
|
|
"index": 0,
|
|
"delta": {},
|
|
"finish_reason": "stop",
|
|
}
|
|
],
|
|
"created": 1737654321,
|
|
"model": "gemini/gemini-2.5-flash-image",
|
|
"object": "chat.completion.chunk",
|
|
},
|
|
]
|
|
|
|
chunks = []
|
|
for chunk in init_chunks:
|
|
chunks.append(litellm.ModelResponseStream(**chunk))
|
|
|
|
response = stream_chunk_builder(chunks=chunks)
|
|
|
|
# Verify content is preserved
|
|
assert response.choices[0].message.content == "Here are your images:"
|
|
|
|
# Verify all images are preserved
|
|
assert response.choices[0].message.images is not None, "Images should be preserved"
|
|
assert len(response.choices[0].message.images) == 2, "Should have exactly 2 images"
|
|
assert "image1data" in response.choices[0].message.images[0]["image_url"]["url"]
|
|
assert "image2data" in response.choices[0].message.images[1]["image_url"]["url"]
|
|
|
|
|
|
def test_stream_chunk_builder_no_images():
|
|
"""
|
|
Test that stream_chunk_builder works correctly when there are no images (regression test).
|
|
"""
|
|
init_chunks = [
|
|
{
|
|
"id": "chatcmpl-no-image-test",
|
|
"choices": [
|
|
{
|
|
"index": 0,
|
|
"delta": {
|
|
"role": "assistant",
|
|
"content": "Hello, ",
|
|
},
|
|
"finish_reason": None,
|
|
}
|
|
],
|
|
"created": 1737654321,
|
|
"model": "gpt-4",
|
|
"object": "chat.completion.chunk",
|
|
},
|
|
{
|
|
"id": "chatcmpl-no-image-test",
|
|
"choices": [
|
|
{
|
|
"index": 0,
|
|
"delta": {
|
|
"content": "world!",
|
|
},
|
|
"finish_reason": None,
|
|
}
|
|
],
|
|
"created": 1737654321,
|
|
"model": "gpt-4",
|
|
"object": "chat.completion.chunk",
|
|
},
|
|
{
|
|
"id": "chatcmpl-no-image-test",
|
|
"choices": [
|
|
{
|
|
"index": 0,
|
|
"delta": {},
|
|
"finish_reason": "stop",
|
|
}
|
|
],
|
|
"created": 1737654321,
|
|
"model": "gpt-4",
|
|
"object": "chat.completion.chunk",
|
|
},
|
|
]
|
|
|
|
chunks = []
|
|
for chunk in init_chunks:
|
|
chunks.append(litellm.ModelResponseStream(**chunk))
|
|
|
|
response = stream_chunk_builder(chunks=chunks)
|
|
|
|
# Verify content is preserved
|
|
assert response.choices[0].message.content == "Hello, world!"
|
|
|
|
# Verify images attribute doesn't exist or is None (no images in this stream)
|
|
images = getattr(response.choices[0].message, "images", None)
|
|
assert images is None, "Should not have images when none were in the stream"
|