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* test(rust): encode anthropic response serialization shape as rstest cases Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> * feat(rust): shape Anthropic Messages requests natively The Rust Messages route only relayed the body. It now runs the request shaping the Python handler does for the direct Anthropic provider: history sanitizers (empty blocks, tool ids, replayed web search results, provider_specific_fields, encrypted reasoning, advisor blocks), reasoning_effort and adaptive/legacy thinking translation against the model's capability flags, the sampling and speed gates under drop_params, the metadata allowlist, additional_drop_params, reasoning auto summary, OAuth and ANTHROPIC_AUTH_TOKEN credentials, provider_specific_header merging and anthropic-beta injection. Capability flags and LiteLLM settings reach Rust through route_host.shaping(). A request the route rejects before the call now maps to BadRequestError instead of APIConnectionError Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> * test(rust): port Anthropic Messages shaping tests and pin comment contracts as cases Every Python unit test that exercises the ported shaping for the direct Anthropic provider now has a named rstest counterpart, and every comment that stated a behavior contract is deleted in favor of a case that pins it. Measured with cargo-mutants over the touched files, all viable mutants are caught Porting the tests surfaced parity gaps, fixed here to match Python: every casing of a forwarded anthropic-beta header is merged, replayed web search results are rewritten from their own block (an empty result keeps its slot and a server_tool_use with a non-string query stays), an empty output_config.effort falls back to medium, speed and reasoning effort errors quote values the way Python does, additional_drop_params apply after metadata validation and the auto summary and never touch model or messages, and a non-string metadata.user_id is rejected before the call * fix(rust): resolve Messages credentials through the secret source and scope headers by resolved provider The native Messages route read ANTHROPIC_API_KEY, ANTHROPIC_AUTH_TOKEN and the base URL straight from the process environment, so a key or base held in a configured secret manager was never found. Each provider config now declares its secret names and the route resolves them through the same SecretSource the OCR route uses, with the Python bridge passing in litellm's configured manager provider_specific_header entries were scoped by the explicit custom_llm_provider only, falling back to anthropic, so an azure_ai/ model lost its azure_ai scoped headers. Scoping now happens in the route after the provider is resolved from the model, as Python's handler does The Azure config now adds the same anthropic-beta feature headers Python's Azure route adds, and the metadata allowlist, reasoning auto summary and history sanitizers move from the core route into the llms crate, mirroring their home in Python's messages handler * test(rust): escape the dot in the metadata.user_id match pattern * refactor(rust-bridge): project Messages capabilities without mutable dicts The capability flags and effort tiers were built as dict comprehensions, which the type-discipline gate counts as mutable construction, and the asdict call carried a mutable-ok suppression that suppressed nothing. The flags are now passed one by one and the effort tiers are a frozen dataclass, which asdict projects to the same map the native side reads --------- Co-authored-by: Yujong Lee <yujong@berri.ai> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
237 lines
8.7 KiB
Python
237 lines
8.7 KiB
Python
"""The native Messages route shapes the wire request the way the Python handler does.
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Model capability expectations come from model_prices_and_context_window.json (Claude Sonnet 5 is an
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adaptive-thinking model without sampling params; Claude Haiku 4.5 is a legacy-thinking model), read at
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2026-09-24; the cost map is LiteLLM's own file.
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"""
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from collections.abc import Iterator
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from typing import Final
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import pytest
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import litellm
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from litellm.rust_bridge import catalog
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from litellm.rust_bridge.catalog import Route, RouteRule
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from litellm.rust_bridge.configuration import Rollout
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from tests.test_litellm_rust.support.isolation import rebound
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from tests.test_litellm_rust.support.recording_server import RecordingServer, ResponseSpec
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from tests.test_litellm_rust.support.requests import MESSAGES, MESSAGES_RESPONSE
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pytestmark = pytest.mark.requires_rust_extension
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ADAPTIVE_MODEL: Final = "anthropic/claude-sonnet-5"
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LEGACY_THINKING_MODEL: Final = "anthropic/claude-haiku-4-5"
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@pytest.fixture(autouse=True)
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def opt_messages_into_rust() -> Iterator[None]:
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with rebound(catalog, "RULES", (RouteRule(Route.MESSAGES, Rollout.RUST_OPT_IN), *catalog.RULES)):
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yield
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@pytest.fixture
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def messages_server(recording_server: RecordingServer) -> RecordingServer:
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recording_server.default_response = ResponseSpec(body=MESSAGES_RESPONSE)
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return recording_server
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def arguments(server: RecordingServer, **kwargs: object) -> dict[str, object]:
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return {
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"model": ADAPTIVE_MODEL,
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"messages": [dict(message) for message in MESSAGES],
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"max_tokens": 8192,
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"api_key": "test-key",
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"api_base": server.base_url,
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**kwargs,
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}
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def sent(server: RecordingServer) -> tuple[dict[str, object], dict[str, str]]:
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assert len(server.requests) == 1
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request: Final = server.requests[0]
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assert not request.headers.get("user-agent", "").startswith("python-httpx")
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assert isinstance(request.body, dict)
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return request.body, request.headers
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@pytest.mark.asyncio
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async def test_reasoning_effort_becomes_adaptive_thinking_and_effort_on_the_wire(
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messages_server: RecordingServer,
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) -> None:
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await litellm.anthropic.messages.acreate(**arguments(messages_server, reasoning_effort="high"))
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body, _ = sent(messages_server)
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assert "reasoning_effort" not in body
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assert body["thinking"] == {"type": "adaptive", "display": "summarized"}
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assert body["output_config"] == {"effort": "high"}
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@pytest.mark.asyncio
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async def test_claude_code_adaptive_payload_is_downgraded_to_a_capped_budget_for_a_legacy_model(
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messages_server: RecordingServer,
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) -> None:
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await litellm.anthropic.messages.acreate(
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**arguments(
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messages_server,
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model=LEGACY_THINKING_MODEL,
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max_tokens=3000,
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thinking={"type": "adaptive"},
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output_config={"effort": "high"},
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temperature=0,
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)
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)
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body, _ = sent(messages_server)
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assert body["thinking"] == {"type": "enabled", "budget_tokens": 2999}
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assert "output_config" not in body
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assert "temperature" not in body
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@pytest.mark.asyncio
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async def test_removed_sampling_params_are_dropped_under_drop_params(messages_server: RecordingServer) -> None:
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await litellm.anthropic.messages.acreate(
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**arguments(messages_server, temperature=0.2, top_p=0.9, top_k=5, drop_params=True)
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)
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body, _ = sent(messages_server)
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assert not {"temperature", "top_p", "top_k"} & body.keys()
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@pytest.mark.asyncio
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async def test_removed_sampling_params_are_rejected_without_drop_params(messages_server: RecordingServer) -> None:
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messages_server.expected_requests = 0
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with pytest.raises(litellm.BadRequestError, match="does not support top_k=5"):
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await litellm.anthropic.messages.acreate(**arguments(messages_server, top_k=5))
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assert messages_server.requests == []
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@pytest.mark.asyncio
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async def test_replayed_history_is_sanitized_before_it_reaches_the_provider(
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messages_server: RecordingServer,
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) -> None:
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history: Final = [
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{"role": "user", "content": "run it"},
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{
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"role": "assistant",
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"content": [
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{"type": "text", "text": ""},
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{
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"type": "tool_use",
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"id": "functions.Bash:0",
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"name": "Bash",
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"input": {},
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"provider_specific_fields": {"x": 1},
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},
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],
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},
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{"role": "user", "content": [{"type": "tool_result", "tool_use_id": "functions.Bash:0", "content": "ok"}]},
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]
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await litellm.anthropic.messages.acreate(**arguments(messages_server, messages=history))
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body, _ = sent(messages_server)
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assert body["messages"] == [
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{"role": "user", "content": "run it"},
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{"role": "assistant", "content": [{"type": "tool_use", "id": "functions_Bash_0", "name": "Bash", "input": {}}]},
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{"role": "user", "content": [{"type": "tool_result", "tool_use_id": "functions_Bash_0", "content": "ok"}]},
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]
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@pytest.mark.asyncio
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async def test_feature_betas_merge_into_the_forwarded_beta_header(messages_server: RecordingServer) -> None:
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await litellm.anthropic.messages.acreate(
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**arguments(
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messages_server,
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output_format={"type": "json_schema", "schema": {"type": "object"}},
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extra_headers={"anthropic-beta": "web-search-2025-03-05"},
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)
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)
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_, headers = sent(messages_server)
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assert headers["anthropic-beta"] == "structured-outputs-2025-11-13,web-search-2025-03-05"
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@pytest.mark.asyncio
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async def test_oauth_token_authenticates_as_a_bearer_with_the_oauth_beta(messages_server: RecordingServer) -> None:
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await litellm.anthropic.messages.acreate(**arguments(messages_server, api_key="sk-ant-oat01-token"))
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_, headers = sent(messages_server)
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assert "x-api-key" not in headers
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assert headers["authorization"] == "Bearer sk-ant-oat01-token"
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assert headers["anthropic-beta"] == "oauth-2025-04-20"
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assert headers["anthropic-dangerous-direct-browser-access"] == "true"
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@pytest.mark.asyncio
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async def test_metadata_is_reduced_to_the_fields_anthropic_accepts(messages_server: RecordingServer) -> None:
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await litellm.anthropic.messages.acreate(
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**arguments(messages_server, metadata={"user_id": "u-1", "trace_id": "internal"})
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)
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body, _ = sent(messages_server)
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assert body["metadata"] == {"user_id": "u-1"}
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@pytest.mark.asyncio
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async def test_additional_drop_params_remove_nested_fields_from_the_wire(messages_server: RecordingServer) -> None:
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tools: Final = [{"name": "lookup", "input_schema": {"type": "object"}, "input_examples": [{"q": "x"}]}]
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await litellm.anthropic.messages.acreate(
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**arguments(messages_server, tools=tools, additional_drop_params=["tools[*].input_examples"])
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)
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body, _ = sent(messages_server)
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assert body["tools"] == [{"name": "lookup", "input_schema": {"type": "object"}}]
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@pytest.mark.asyncio
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async def test_provider_specific_headers_scoped_to_anthropic_reach_the_wire(messages_server: RecordingServer) -> None:
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await litellm.anthropic.messages.acreate(
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**arguments(
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messages_server,
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provider_specific_header=[
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{"custom_llm_provider": "anthropic, azure_ai", "extra_headers": {"x-scoped": "yes"}},
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{"custom_llm_provider": "openai", "extra_headers": {"x-other": "no"}},
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],
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)
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)
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_, headers = sent(messages_server)
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assert headers["x-scoped"] == "yes"
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assert "x-other" not in headers
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@pytest.mark.asyncio
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async def test_scoped_headers_override_extra_headers_which_override_forwarded_headers(
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messages_server: RecordingServer,
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) -> None:
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await litellm.anthropic.messages.acreate(
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**arguments(
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messages_server,
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headers={"x-priority": "forwarded", "x-forwarded-only": "kept"},
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extra_headers={"x-priority": "extra", "x-extra-only": "kept"},
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provider_specific_header={"custom_llm_provider": "anthropic", "extra_headers": {"x-priority": "scoped"}},
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)
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)
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_, headers = sent(messages_server)
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assert {name: headers.get(name) for name in ("x-priority", "x-forwarded-only", "x-extra-only")} == {
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"x-priority": "scoped",
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"x-forwarded-only": "kept",
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"x-extra-only": "kept",
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}
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@pytest.mark.asyncio
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async def test_non_string_metadata_user_id_is_rejected_before_the_provider_call(
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messages_server: RecordingServer,
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) -> None:
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messages_server.expected_requests = 0
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with pytest.raises(litellm.BadRequestError, match=r"metadata\.user_id must be a string"):
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await litellm.anthropic.messages.acreate(**arguments(messages_server, metadata={"user_id": 123}))
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assert messages_server.requests == []
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