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* feat(anthropic): generate auto mode safeguard_results with a classifier model on the /v1/messages chat bridge * fix(anthropic): check caller limits for the safeguards classifier, mark truncated tool calls, and keep pre-compaction context * fix(anthropic): log classifier spend under the caller's key hash and read list-shaped classifier replies * feat(anthropic): generate safeguard_results on the Responses bridge and native non-Claude /v1/messages providers * fix(messages): keep safeguards requests on Python under the Rust opt-in * fix(anthropic): keep non-ASCII text unescaped in the safeguards classifier prompt * test(anthropic): build the text-parts classifier reply without openai's construct path Message.model_construct goes through openai's construct_type, which caches discriminated unions in a weak-key map. On Python 3.12 a PEP 604 union cannot be weak-referenced, so the fixture raised inside the fake classifier and the test read an unavailable verdict. model_copy sets the list content without that path. * fix(anthropic): scan only new bytes for SSE frame ends on safeguarded native streams * fix(anthropic): answer safeguards on web search short circuits and widen the classifier reply cap * fix(anthropic): answer unsupported when the proxy serves no deployment for the safeguards classifier * fix(anthropic): keep a backend's stream verdicts and join split SSE data lines before stamping * fix(anthropic): map only the router's no-healthy-deployments refusal to unsupported * fix(anthropic): answer unavailable for the turn on a transient caller denial and let the classifier deployment's timeout apply * fix(anthropic): keep the user's whole opening message in the classifier transcript past its budget * fix(anthropic): run the proxy's own access checks for the safeguards classifier call The classifier and compaction sub-calls now pass through the same model access checks as the parent request (key, team, team member, user, project, end user, managed agent grants), with budgets left to the per-model budget check so nothing is reserved. They also carry the parent's logging params and headers, so a redaction header or per-request callback params apply to their own rows. Only per-model RPM limits count against a sub-call now, since a key-wide or team-wide RPM window is already spent by the parent request. The MCP auto-execute loop classifies only its final response, a chat-bridge stream without safeguards yields frames directly, and a classifier provider failure logs one warning line instead of a traceback * fix(anthropic): keep safeguards sub-calls off the parent's session routing and carry a body trace id The classifier and compaction summary calls no longer get the parent's proxy_server_request, so a Claude Code session bound to a router no longer pulls them off their configured model. Redaction still reads the headers carried in metadata. Their access checks now use the parent's resolved litellm_trace_id when the parent metadata has no trace_id, so a team that requires a trace id accepts a sub-call whose parent sent it in the body. * fix(anthropic): keep the disable-callbacks header on safeguards sub-calls * fix(proxy): charge per-model budgets from litellm_metadata when metadata holds only routing keys * test(integration): add safeguard_results cells for the bridges, native routes, caller checks, and classifier failures * fix(proxy): check the caller's budgets on the classifier call and keep failed access reads retryable --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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| .. | ||
| _support | ||
| base_sdk_tests | ||
| benchmarks | ||
| code_coverage_tests | ||
| documentation_tests | ||
| e2e | ||
| e2e_harness | ||
| fixtures | ||
| harness_e2e | ||
| integration | ||
| rust-python-harness | ||
| test_litellm_rust | ||
| typing | ||
| unit | ||
| windows_tests | ||
| __init__.py | ||
| _fake_openai_endpoint_server.py | ||
| _flush_vcr_cache.py | ||
| _live_test_helpers.py | ||
| _master_key.py | ||
| _openai_record_replay_proxy.py | ||
| _process_helpers.py | ||
| _vcr_conftest_common.py | ||
| _vcr_redis_persister.py | ||
| _wait_helpers.py | ||
| _ws_vcr.py | ||
| AGENTS.md | ||
| capturing_transport.py | ||
| eval_swe_bench.py | ||
| fake_openai_endpoint.py | ||
| gettysburg.wav | ||
| large_text.py | ||
| openai_batch_completions.jsonl | ||
| pyrightconfig.json | ||
| README.MD | ||
| test_logging.conf | ||
| test_rust_python_harness.py | ||
| VCR_TESTING.md | ||
| white_100x100.png | ||
In total litellm runs 1000+ tests
[02/20/2025] Update:
To make it easier to contribute and map what behavior is tested,
we've started mapping the litellm directory in tests/unit
This folder can only run mock tests.