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Author SHA1 Message Date
Mateo Wang
be6d082bdc
fix(anthropic)!: send /v1/messages PDF documents to OpenAI-shaped providers as file parts (#47166)
* fix(anthropic): send /v1/messages PDF documents to OpenAI-shaped providers as file parts

* refactor(anthropic): hold the chat completions document change for a later commit

* fix(anthropic): send /v1/messages PDFs as file parts and keep file parts on azure_ai

* fix(snowflake): turn file parts into document blocks for Cortex Claude

* fix(prompt_security): sanitize chat file parts that carry file_data

* fix: answer 400 or drop PDFs for models that cannot read them

Models whose model_info or cost map entry sets supports_pdf_input to
false, and Ollama, now get the PDF dropped under drop_params and a 400
from litellm without it. GigaChat uploads file parts, SAP keeps sending
them as image_url data URLs, azure_ai passes dict content through, and
annotations other than url_citation move to provider_specific_fields
instead of failing the response.

* fix(router): scope supports_pdf_input to its deployment and keep provider annotation keys

Mark the azure_ai chat models in the cost map that cannot read PDFs, so drop_params drops the PDF and
litellm answers its own 400 without it. Keep url_citation annotations whole, move only typed provider
annotations to provider_specific_fields, and split them the same way when a stream is rebuilt.

* fix(vertex_ai): send PDF file parts to Vertex partner models as image_url

Vertex AI's OpenAI-compatible partner endpoint rejects the chat `file` part, so PDFs from /v1/messages
reach those models as the image_url data URL they took before. Mark native DeepSeek chat models as
unable to read PDFs, and treat a file part as a PDF by its format or filename when it has no data URL.

* fix(cost-map): leave native DeepSeek PDF support unset

/v1/messages reaches native DeepSeek through its own Anthropic endpoint, so the marks never applied there
and would only change chat completions, which this PR does not otherwise touch.

* fix(main): drop a user turn that held only a PDF under drop_params

Dropping the PDF from a PDF-only user turn left an empty content list, which
Foundry and OpenAI-shaped providers reject with a 400, so drop_params still
failed for that request. The emptied user turn is now removed.

* fix: read OCI PDFs, gate deployment base models, and stop empty drops

OCI generic chat sends file parts as image data URLs again, so OCI Gemini
keeps reading PDFs from /v1/messages and chat file parts.

The PDF gate now reads model_info.base_model, drops PDFs under drop_params
for azure_ai deployments that never declared PDF support (the old flattening
behavior), and answers 400 when dropping the PDF leaves no user message.

The cost map marks the Vertex partner text models that a live probe showed
answering without reading the PDF.

* test(integration): cover the PDF input gate, messages PDF file parts and provider annotations

Wire cells for the supports_pdf_input check on chat, chat streaming, /v1/messages and the Responses bridge, its model_info, base_model, cost map and Ollama sources, drop_params at deployment and request level, azure_ai file parts, sibling deployment isolation, Anthropic SDK PDFs reaching azure as titled file parts, Gemini and Bedrock document controls, Prompt Security sanitizing a /v1/messages PDF, and OpenRouter file annotations live, cached and streamed

* test(integration): cover Snowflake Claude and SAP in the messages PDF wire cells

* fix(azure_ai): flatten non-PDF file parts to text as before and cover the GigaChat PDF upload

* fix(main): PDF check reads the deployment's top-level base_model

* fix(main): keep roles alternating after drop_params removes a PDF-only turn

When ensure_alternating_roles is set, re-run role normalization on the messages left after the PDF check drops a turn, so two assistant turns never end up next to each other

* test: type the PDF and annotation tests the PR added

* test: type the GigaChat, SAP and Snowflake PDF tests
2026-10-29 08:06:12 -07:00
yuneng-jiang
f6882246d4
test: move tests/test_litellm root and small trees into tests/unit (#43186)
* 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>
2026-09-25 11:30:43 -07:00
Renamed from tests/test_litellm/test_stream_chunk_builder_annotations.py (Browse further)