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* 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 Delete eight tests the audit found superseded by stronger ones kept in this move.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>
80 lines
3.6 KiB
Python
80 lines
3.6 KiB
Python
"""
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Tests for LiteLLM Responses bridge provider.
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Inherits from BaseInteractionsTest to run the same test suite against
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the litellm_responses bridge provider, which calls litellm.responses() internally.
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"""
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from litellm.interactions.litellm_responses_transformation.transformation import (
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LiteLLMResponsesInteractionsConfig,
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)
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from litellm.types.interactions import Turn
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class TestBridgeInputTransformation:
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"""Regression tests for translating Interactions input into Responses API input.
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The bridge used to pass Google content parts through raw ({"type": "text"}),
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which the Responses API rejects with a 400, and it dropped the role encoded
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in step types and in the legacy "model" turn role.
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"""
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def test_step_input_maps_roles_and_content_types(self):
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transformed = LiteLLMResponsesInteractionsConfig._transform_interactions_input_to_responses_input(
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[
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{"type": "user_input", "content": [{"type": "text", "text": "I like apples."}]},
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{"type": "model_output", "content": [{"type": "text", "text": "I like oranges."}]},
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{"type": "user_input", "content": [{"type": "text", "text": "What did you say?"}]},
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]
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)
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assert transformed == [
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{"role": "user", "content": [{"type": "input_text", "text": "I like apples."}]},
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{"role": "assistant", "content": [{"type": "output_text", "text": "I like oranges."}]},
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{"role": "user", "content": [{"type": "input_text", "text": "What did you say?"}]},
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]
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def test_legacy_turn_input_maps_model_role_to_assistant(self):
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transformed = LiteLLMResponsesInteractionsConfig._transform_interactions_input_to_responses_input(
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[
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{"role": "user", "content": [{"type": "text", "text": "I like apples."}]},
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{"role": "model", "content": [{"type": "text", "text": "I like oranges."}]},
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]
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)
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assert transformed == [
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{"role": "user", "content": [{"type": "input_text", "text": "I like apples."}]},
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{"role": "assistant", "content": [{"type": "output_text", "text": "I like oranges."}]},
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]
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def test_turn_pydantic_model_with_string_content(self):
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transformed = LiteLLMResponsesInteractionsConfig._transform_interactions_input_to_responses_input(
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[Turn(role="model", content="I like oranges.")]
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)
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assert transformed == [
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{"role": "assistant", "content": [{"type": "output_text", "text": "I like oranges."}]}
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]
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def test_string_input_passes_through(self):
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transformed = LiteLLMResponsesInteractionsConfig._transform_interactions_input_to_responses_input("Hello")
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assert transformed == "Hello"
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def test_content_list_input_becomes_single_user_message(self):
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transformed = LiteLLMResponsesInteractionsConfig._transform_interactions_input_to_responses_input(
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[{"type": "text", "text": "Hello"}, "world"]
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)
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assert transformed == [
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{
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"role": "user",
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"content": [
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{"type": "input_text", "text": "Hello"},
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{"type": "input_text", "text": "world"},
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],
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}
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]
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def test_non_text_content_passes_through_unchanged(self):
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image_part = {"type": "image", "data": "base64data", "mime_type": "image/png"}
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transformed = LiteLLMResponsesInteractionsConfig._transform_interactions_input_to_responses_input(
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[{"type": "user_input", "content": [image_part]}]
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)
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assert transformed == [{"role": "user", "content": [image_part]}]
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