2114ccd278
CI / Lint & Test (Python 3.13) (push) Failing after 2s
CI / Lint & Test (Python 3.14) (push) Failing after 1s
CI / Lint & Test (Python 3.12) (push) Failing after 2s
CI / DCO Check (push) Has been skipped
Scorecard supply-chain security / Scorecard analysis (push) Failing after 2s
255 lines
10 KiB
Python
255 lines
10 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
"""Tests for the AnthropicProxyProvider (Vertex-style raw-predict endpoints)."""
|
|
|
|
from __future__ import annotations
|
|
|
|
import json
|
|
|
|
import httpx
|
|
import pytest
|
|
from langchain_anthropic import ChatAnthropic
|
|
|
|
from skillspector.providers import create_chat_model, get_metadata_provider, registry
|
|
from skillspector.providers.anthropic_proxy import AnthropicProxyProvider
|
|
from skillspector.providers.anthropic_proxy.provider import (
|
|
DEFAULT_API_VERSION,
|
|
_ChatAnthropicProxy,
|
|
_get_api_version,
|
|
_ProxyTransport,
|
|
)
|
|
|
|
|
|
@pytest.fixture(autouse=True)
|
|
def _clean_env(monkeypatch: pytest.MonkeyPatch):
|
|
"""Isolate provider-related env vars for each test."""
|
|
monkeypatch.delenv("ANTHROPIC_PROXY_ENDPOINT_URL", raising=False)
|
|
monkeypatch.delenv("ANTHROPIC_PROXY_API_KEY", raising=False)
|
|
monkeypatch.delenv("ANTHROPIC_PROXY_API_VERSION", raising=False)
|
|
monkeypatch.delenv("SKILLSPECTOR_MODEL", raising=False)
|
|
monkeypatch.delenv("SKILLSPECTOR_PROVIDER", raising=False)
|
|
monkeypatch.delenv("SKILLSPECTOR_SSL_VERIFY", raising=False)
|
|
monkeypatch.delenv("OPENAI_API_KEY", raising=False)
|
|
monkeypatch.delenv("ANTHROPIC_API_KEY", raising=False)
|
|
monkeypatch.delenv("NVIDIA_INFERENCE_KEY", raising=False)
|
|
registry._load.cache_clear()
|
|
yield
|
|
registry._load.cache_clear()
|
|
|
|
|
|
class TestAnthropicProxyProviderCredentials:
|
|
"""Credential resolution tests."""
|
|
|
|
def test_returns_none_without_env_vars(self) -> None:
|
|
assert AnthropicProxyProvider().resolve_credentials() is None
|
|
|
|
def test_returns_none_with_only_key(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
|
monkeypatch.setenv("ANTHROPIC_PROXY_API_KEY", "token-123")
|
|
assert AnthropicProxyProvider().resolve_credentials() is None
|
|
|
|
def test_returns_none_with_only_url(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
|
monkeypatch.setenv("ANTHROPIC_PROXY_ENDPOINT_URL", "https://proxy.example.com/predict")
|
|
assert AnthropicProxyProvider().resolve_credentials() is None
|
|
|
|
def test_resolves_credentials_with_both_env_vars(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
|
monkeypatch.setenv("ANTHROPIC_PROXY_API_KEY", "bearer-tok")
|
|
monkeypatch.setenv("ANTHROPIC_PROXY_ENDPOINT_URL", "https://proxy.example.com/predict")
|
|
creds = AnthropicProxyProvider().resolve_credentials()
|
|
assert creds == ("bearer-tok", "https://proxy.example.com/predict")
|
|
|
|
|
|
class TestAnthropicProxyProviderChatModel:
|
|
"""Chat model creation tests."""
|
|
|
|
def test_create_chat_model_returns_none_without_creds(self) -> None:
|
|
result = AnthropicProxyProvider().create_chat_model("claude-sonnet-4-6", max_tokens=1024)
|
|
assert result is None
|
|
|
|
def test_creates_chat_anthropic_subclass(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
|
monkeypatch.setenv("ANTHROPIC_PROXY_API_KEY", "bearer-tok")
|
|
monkeypatch.setenv(
|
|
"ANTHROPIC_PROXY_ENDPOINT_URL",
|
|
"https://proxy.example.com/models/claude-sonnet-4-6:streamRawPredict",
|
|
)
|
|
llm = AnthropicProxyProvider().create_chat_model("claude-sonnet-4-6", max_tokens=4096)
|
|
assert isinstance(llm, ChatAnthropic)
|
|
assert isinstance(llm, _ChatAnthropicProxy)
|
|
assert llm.model == "claude-sonnet-4-6"
|
|
assert llm.max_tokens == 4096
|
|
|
|
|
|
class TestAnthropicProxyProviderMetadata:
|
|
"""Token-budget metadata and model resolution tests."""
|
|
|
|
def test_metadata_known_model(self) -> None:
|
|
provider = AnthropicProxyProvider()
|
|
assert provider.get_context_length("claude-sonnet-4-6") == 1_000_000
|
|
assert provider.get_max_output_tokens("claude-sonnet-4-6") == 128_000
|
|
|
|
def test_metadata_unknown_model_returns_none(self) -> None:
|
|
provider = AnthropicProxyProvider()
|
|
assert provider.get_context_length("unknown-model") is None
|
|
assert provider.get_max_output_tokens("unknown-model") is None
|
|
|
|
def test_default_model(self) -> None:
|
|
assert AnthropicProxyProvider().resolve_model() == "claude-sonnet-4-6"
|
|
|
|
def test_resolve_model_env_override(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
|
monkeypatch.setenv("SKILLSPECTOR_MODEL", "claude-opus-4-6")
|
|
assert AnthropicProxyProvider().resolve_model() == "claude-opus-4-6"
|
|
assert AnthropicProxyProvider().resolve_model("meta_analyzer") == "claude-opus-4-6"
|
|
|
|
|
|
class TestProxyTransport:
|
|
"""Transport request-rewriting tests."""
|
|
|
|
def _make_request(
|
|
self, body: dict, *, monkeypatch: pytest.MonkeyPatch | None = None
|
|
) -> tuple[httpx.Request, dict]:
|
|
"""Create a transport and capture the rewritten request.
|
|
|
|
Returns the rewritten httpx.Request and the decoded body.
|
|
"""
|
|
transport = _ProxyTransport(
|
|
endpoint_url="https://proxy.example.com/models/claude:predict",
|
|
bearer_token="my-token",
|
|
verify=False,
|
|
)
|
|
|
|
original_request = httpx.Request(
|
|
method="POST",
|
|
url="https://api.anthropic.com/v1/messages",
|
|
headers={
|
|
"x-api-key": "sk-ant-secret",
|
|
"anthropic-version": "2023-06-01",
|
|
"content-type": "application/json",
|
|
},
|
|
content=json.dumps(body).encode("utf-8"),
|
|
)
|
|
|
|
captured: list[httpx.Request] = []
|
|
|
|
class _CapturingTransport(httpx.BaseTransport):
|
|
def handle_request(self, request: httpx.Request) -> httpx.Response:
|
|
captured.append(request)
|
|
return httpx.Response(
|
|
status_code=200,
|
|
json={
|
|
"id": "msg_test",
|
|
"type": "message",
|
|
"role": "assistant",
|
|
"content": [{"type": "text", "text": "hello"}],
|
|
"model": "claude-sonnet-4-6",
|
|
"stop_reason": "end_turn",
|
|
"usage": {"input_tokens": 10, "output_tokens": 5},
|
|
},
|
|
)
|
|
|
|
transport._inner = _CapturingTransport()
|
|
transport.handle_request(original_request)
|
|
|
|
assert len(captured) == 1
|
|
rewritten = captured[0]
|
|
rewritten_body = json.loads(rewritten.content)
|
|
return rewritten, rewritten_body
|
|
|
|
def test_rewrites_url(self) -> None:
|
|
rewritten, _ = self._make_request(
|
|
{"model": "claude-sonnet-4-6", "messages": [], "max_tokens": 100}
|
|
)
|
|
assert str(rewritten.url) == "https://proxy.example.com/models/claude:predict"
|
|
|
|
def test_removes_model_from_body(self) -> None:
|
|
_, body = self._make_request(
|
|
{"model": "claude-sonnet-4-6", "messages": [], "max_tokens": 100}
|
|
)
|
|
assert "model" not in body
|
|
|
|
def test_injects_anthropic_version(self) -> None:
|
|
_, body = self._make_request(
|
|
{"model": "claude-sonnet-4-6", "messages": [], "max_tokens": 100}
|
|
)
|
|
assert body["anthropic_version"] == DEFAULT_API_VERSION
|
|
|
|
def test_replaces_auth_header(self) -> None:
|
|
rewritten, _ = self._make_request(
|
|
{"model": "claude-sonnet-4-6", "messages": [], "max_tokens": 100}
|
|
)
|
|
assert rewritten.headers["authorization"] == "Bearer my-token"
|
|
assert "x-api-key" not in rewritten.headers
|
|
assert "anthropic-version" not in rewritten.headers
|
|
|
|
def test_preserves_content_type(self) -> None:
|
|
rewritten, _ = self._make_request(
|
|
{"model": "claude-sonnet-4-6", "messages": [], "max_tokens": 100}
|
|
)
|
|
assert rewritten.headers["content-type"] == "application/json"
|
|
|
|
def test_preserves_other_body_fields(self) -> None:
|
|
_, body = self._make_request(
|
|
{
|
|
"model": "claude-sonnet-4-6",
|
|
"messages": [{"role": "user", "content": "hi"}],
|
|
"max_tokens": 200,
|
|
"temperature": 0.5,
|
|
}
|
|
)
|
|
assert body["messages"] == [{"role": "user", "content": "hi"}]
|
|
assert body["max_tokens"] == 200
|
|
assert body["temperature"] == 0.5
|
|
|
|
|
|
class TestApiVersionConfiguration:
|
|
"""Tests for ANTHROPIC_PROXY_API_VERSION env var."""
|
|
|
|
def test_default_api_version(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
|
monkeypatch.delenv("ANTHROPIC_PROXY_API_VERSION", raising=False)
|
|
assert _get_api_version() == "vertex-2023-10-16"
|
|
|
|
def test_custom_api_version(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
|
monkeypatch.setenv("ANTHROPIC_PROXY_API_VERSION", "bedrock-2023-05-31")
|
|
assert _get_api_version() == "bedrock-2023-05-31"
|
|
|
|
def test_empty_string_falls_back_to_default(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
|
monkeypatch.setenv("ANTHROPIC_PROXY_API_VERSION", " ")
|
|
assert _get_api_version() == DEFAULT_API_VERSION
|
|
|
|
|
|
class TestProviderSelection:
|
|
"""Integration with the provider selector."""
|
|
|
|
def test_select_anthropic_proxy(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
|
monkeypatch.setenv("SKILLSPECTOR_PROVIDER", "anthropic_proxy")
|
|
assert isinstance(get_metadata_provider(), AnthropicProxyProvider)
|
|
|
|
def test_create_chat_model_via_selector(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
|
monkeypatch.setenv("SKILLSPECTOR_PROVIDER", "anthropic_proxy")
|
|
monkeypatch.setenv("ANTHROPIC_PROXY_API_KEY", "tok")
|
|
monkeypatch.setenv("ANTHROPIC_PROXY_ENDPOINT_URL", "https://proxy.example.com/predict")
|
|
llm = create_chat_model("claude-sonnet-4-6", max_tokens=1024)
|
|
assert isinstance(llm, _ChatAnthropicProxy)
|
|
|
|
def test_falls_back_to_openai_when_proxy_unconfigured(
|
|
self, monkeypatch: pytest.MonkeyPatch
|
|
) -> None:
|
|
"""When anthropic_proxy is selected but not configured, falls back to OpenAI."""
|
|
from langchain_openai import ChatOpenAI
|
|
|
|
monkeypatch.setenv("SKILLSPECTOR_PROVIDER", "anthropic_proxy")
|
|
monkeypatch.setenv("OPENAI_API_KEY", "sk-fallback")
|
|
llm = create_chat_model("gpt-5.4", max_tokens=1024)
|
|
assert isinstance(llm, ChatOpenAI)
|