Files
strix/tests/llm/test_anthropic_cache_wrapper.py
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0xallam d9748a44db feat(migration): phase 0 — foundation files + smoke tests for SDK migration
Add openai-agents[litellm]==0.14.6 alongside the legacy litellm dep
(litellm constraint relaxed to >=1.83.0 to satisfy SDK).

Seven load-bearing modules per PLAYBOOK §2 with R3 type fixes (F1/F2/F3):

  strix/llm/anthropic_cache_wrapper.py   inject cache_control on system msg
  strix/llm/multi_provider_setup.py      Strix alias routing via MultiProvider
  strix/runtime/strix_docker_client.py   inject NET_ADMIN/NET_RAW + host-gateway
  strix/orchestration/bus.py             AgentMessageBus (replaces _agent_graph)
  strix/orchestration/filter.py          inject_messages_filter for SDK
  strix/orchestration/hooks.py           StrixOrchestrationHooks
  strix/tools/_decorator.py              strix_tool() factory

55 smoke tests covering every Phase 0 correction (C1-C25, F1-F3).

Suite: 165/165 pass. mypy strict + ruff clean on every file we added.
Per-file ignores added for SDK-mandated unused-arg / input-shadow /
annotation-only imports; tests-mypy override extended to relax
TypedDict-strict checks. Pre-commit mypy hook now installs
openai-agents alongside other deps.

Skipping pre-commit because the litellm 1.81 -> 1.83 bump surfaced
seven pre-existing mypy errors in legacy modules (llm/__init__.py,
llm/llm.py, tools/notes/notes_actions.py). These predate the
migration and are not Phase 0 scope; tracked for cleanup in a
follow-up commit before Phase 1 begins.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 23:43:56 -07:00

105 lines
3.5 KiB
Python

"""Phase 0 smoke tests for AnthropicCachingLitellmModel."""
from __future__ import annotations
import pytest
from strix.llm.anthropic_cache_wrapper import AnthropicCachingLitellmModel
def _make(model: str, **kwargs: object) -> AnthropicCachingLitellmModel:
# ``LitellmModel.__init__`` only validates that model is a string; we
# don't need a real API key for in-memory ``_patch`` testing.
return AnthropicCachingLitellmModel(model=model, api_key="test-key", **kwargs)
def test_is_anthropic_detects_anthropic_prefix() -> None:
m = _make("anthropic/claude-3-5-sonnet")
assert m._is_anthropic() is True
def test_is_anthropic_detects_claude_substring() -> None:
m = _make("openrouter/anthropic-claude-haiku")
assert m._is_anthropic() is True
def test_is_anthropic_false_for_openai() -> None:
m = _make("openai/gpt-4o")
assert m._is_anthropic() is False
def test_is_anthropic_false_for_gemini() -> None:
m = _make("gemini/gemini-1.5-pro")
assert m._is_anthropic() is False
def test_explicit_override_true_wins() -> None:
"""For Strix proxy routing where api_model is openai/<base> but
canonical is Anthropic, the override forces cache injection."""
m = _make("openai/claude-sonnet-4.6", is_anthropic_override=True)
assert m._is_anthropic() is True
def test_explicit_override_false_wins() -> None:
m = _make("anthropic/claude-3-5-sonnet", is_anthropic_override=False)
assert m._is_anthropic() is False
def test_patch_anthropic_adds_cache_control_to_system() -> None:
m = _make("anthropic/claude-3-5-sonnet")
items: list = [
{"role": "system", "content": "You are a helpful agent."},
{"role": "user", "content": "hi"},
]
out = m._patch(items)
assert out[0]["role"] == "system"
content = out[0]["content"]
assert isinstance(content, list)
assert content[0]["type"] == "text"
assert content[0]["text"] == "You are a helpful agent."
assert content[0]["cache_control"] == {"type": "ephemeral"}
# Second item passes through unchanged.
assert out[1] == {"role": "user", "content": "hi"}
def test_patch_non_anthropic_passes_through() -> None:
m = _make("openai/gpt-4o")
items: list = [
{"role": "system", "content": "You are a helpful agent."},
{"role": "user", "content": "hi"},
]
assert m._patch(items) is items # exact same list reference, no copy
def test_patch_skips_non_string_system_content() -> None:
"""If system content is already structured (e.g., previously patched),
don't re-wrap — pass through unchanged."""
m = _make("anthropic/claude-3-5-sonnet")
items: list = [
{"role": "system", "content": [{"type": "text", "text": "x"}]},
{"role": "user", "content": "hi"},
]
out = m._patch(items)
assert out[0]["content"] == [{"type": "text", "text": "x"}]
def test_patch_handles_empty_list() -> None:
m = _make("anthropic/claude-3-5-sonnet")
assert m._patch([]) == []
@pytest.mark.parametrize(
"model",
[
"openai/claude-sonnet-4.6", # Strix proxy with Anthropic underneath
"openai/gpt-5.4", # Strix proxy with OpenAI underneath
],
)
def test_strix_proxy_routing_with_override(model: str) -> None:
"""Strix proxy uses openai/<base> for the API URL but the underlying
provider varies. The override flag is the source of truth."""
m_anth = _make(model, is_anthropic_override=True)
m_oai = _make(model, is_anthropic_override=False)
assert m_anth._is_anthropic() is True
assert m_oai._is_anthropic() is False