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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 Delete eight tests the audit found superseded by stronger ones kept in this move.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: move tests/test_litellm/llms into tests/unit/llms Rename-only. Moves the provider tests and the fine-tuning fixtures they load, mirroring the old paths. Follow-up commits merge, split and wire them. * test: merge, split and prune the moved llms tests Merges the Databricks chat transformation tests into the existing unit file, keeps the tests that need real keys or the network in tests/test_litellm, deletes the audited tests a stronger unit test already covers, and points imports at tests.unit.llms. * ci: run the moved llms tests under their legacy flags The Vertex AI and All Other Providers shards keep their legacy test-path for the retained files and add the llm-vertex-ai and llm-other-providers unit selections. CircleCI gets matching unit jobs. * test: make the tests/unit/llms directories packages Adds __init__.py to the moved dirs and drops the legacy ones whose directories no longer hold tests. * test: drop script runners and path hacks the llms split left dangling The __main__ runners in the split openai_like files and the Databricks e2e runner called tests that now live in the other half of the split or were deleted. The retained legacy halves also no longer need sys.path edits. * 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. * test: move tests/test_litellm integrations and secret_managers into tests/unit Rename-only. Mirrors the old paths, including the directory conftests and the prompt and JSON fixtures. Follow-up commits prune and wire them. * test: prune and repoint the moved integrations tests Deletes the 7 audited tests a stronger test in the same tree already covers, imports the TLS sink helpers from their new conftest path, and restores os.environ after each integrations test. Some presets write OTEL_EXPORTER_OTLP_HEADERS straight into os.environ, and without the legacy tree's test ordering that header leaked into the AgentOps tests. * ci: run the moved integrations tests under their legacy flag The integrations GHA shard and a new CircleCI job run the integrations unit selection. secret_managers joins the misc selection. * docs: point integrations and secret_managers references at tests/unit * test: make the moved integrations directories packages * test: keep the Databricks manual e2e runner and fix the SageMaker Nova run path The Databricks e2e file is a manual script whose main() calls the tests that were pruned, so pruning them broke the documented run. It is back to its main version. The SageMaker Nova docstring now points at the file's real location in tests/local_testing. * test: move tests/test_litellm core utils, routing, responses, caching and rust_bridge into tests/unit Rename-only. Mirrors the old paths, including fixtures, the stubtest config and the native-route wheel script. Two files that collide with existing unit files are merged in a follow-up commit. * test: merge, prune and repoint the moved core, routing, responses, caching and rust_bridge tests Merges the two files that collided with existing unit files, folding the legacy extra case into test_is_chat_completion_cached_dict, and deletes the 9 audited tests a stronger test in the same file already covers. Keeps what needs the network in tests/test_litellm: test_tokenizers pulls a tokenizer from the Hugging Face hub, and the gpt2 and r50k_base tokenizer cases download their BPE files. The unit core_utils conftest points TIKTOKEN_CACHE_DIR at litellm's bundled encodings so the rest never depend on import order to stay offline, and FakeSecretVault moves to a shared module so both trees can build it. * ci: run the moved core, routing, responses, caching and rust_bridge tests under their flags core_utils gets a core-utils flag and CircleCI job, and its GHA shard keeps the legacy path for the retained network tests. router_utils and router_strategy join enterprise-routing, responses joins responses-caching-types (minus responses/mcp, which mcp-integration owns), caching joins caching-local and rust_bridge joins misc. The redis-compat, test-rust, stubtest and merge-smoke paths follow the move. * docs: point the Rust crate references at tests/unit * test: make the moved core, routing and rust_bridge directories packages * test: keep the no-loop DualCache batch_get_cache regression test It runs the sync path outside any event loop, which the inside-loop test cannot, so a change that picks the Redis client by loop state would only show up there. * test: keep the job's UNIT_FLAG out of the shard-script tests * fix(url_utils): block 192.0.0.0/24 on every Python patch release * test: move the new budget limiter tests into tests/unit/router_strategy * test: move the new sentry scrubbing tests into tests/unit/litellm_core_utils * test: move the new zerobus tests into tests/unit/integrations * test: make tests/unit/integrations/zerobus a package * test: load litellm's own tiktoken cache setup once instead of resetting it per test --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
116 lines
3.1 KiB
Python
116 lines
3.1 KiB
Python
import pytest
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from litellm.router_strategy.adaptive_router.classifier import classify_prompt
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from litellm.types.router import RequestType
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@pytest.mark.parametrize(
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"text",
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[
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"Write a Python function that reverses a linked list",
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"Implement a REST API endpoint for user signup",
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"Create a bash script to back up my postgres database",
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],
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)
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def test_classify_code_generation(text):
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assert classify_prompt(text) == RequestType.CODE_GENERATION
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@pytest.mark.parametrize(
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"text",
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[
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"Explain what this function does: def foo(): ...",
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"Debug this stack trace: TypeError on line 42",
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"Review this PR — does the diff handle the edge case?",
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],
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)
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def test_classify_code_understanding(text):
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assert classify_prompt(text) == RequestType.CODE_UNDERSTANDING
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@pytest.mark.parametrize(
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"text",
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[
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"Design a microservice architecture for an event-driven system",
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"Should I use PostgreSQL or DynamoDB for high-write workloads?",
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"How should I structure my Django app for multi-tenancy?",
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],
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)
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def test_classify_technical_design(text):
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assert classify_prompt(text) == RequestType.TECHNICAL_DESIGN
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@pytest.mark.parametrize(
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"text",
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[
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"Solve the integral of x^2 from 0 to 5",
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"If A implies B and B implies C, then prove A implies C",
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"Calculate the probability of two heads in three coin flips",
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],
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)
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def test_classify_analytical_reasoning(text):
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assert classify_prompt(text) == RequestType.ANALYTICAL_REASONING
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@pytest.mark.parametrize(
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"text",
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[
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"Draft an email to my team announcing the launch",
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"Rewrite this paragraph to be more concise and professional",
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"Proofread my blog post for grammar and tone",
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],
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)
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def test_classify_writing(text):
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assert classify_prompt(text) == RequestType.WRITING
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@pytest.mark.parametrize(
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"text",
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[
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"Who is the current president of France?",
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"What is the capital of Australia?",
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"Define photosynthesis",
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],
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)
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def test_classify_factual_lookup(text):
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assert classify_prompt(text) == RequestType.FACTUAL_LOOKUP
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@pytest.mark.parametrize(
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"text",
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[
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"hello",
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"tell me about your day",
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"interesting",
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],
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)
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def test_classify_general_fallback(text):
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assert classify_prompt(text) == RequestType.GENERAL
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def test_classify_empty_string():
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assert classify_prompt("") == RequestType.GENERAL
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def test_classify_whitespace_only():
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assert classify_prompt(" \n\t ") == RequestType.GENERAL
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def test_classify_truncates_very_long_input():
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text = (
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"Who is the current president of France? "
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+ "x " * 5000
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+ " Write a Python function"
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)
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assert classify_prompt(text) == RequestType.FACTUAL_LOOKUP
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def test_classify_is_deterministic():
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text = "Implement a REST API endpoint for user signup"
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results = {classify_prompt(text) for _ in range(10)}
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assert len(results) == 1
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def test_classify_returns_request_type_enum():
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result = classify_prompt("hello")
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assert isinstance(result, RequestType)
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