aedc6ccc3a
Change-detectors, tautologies, source-reading tests, redundant duplicates, mock-echo tests and dead/unrunnable tests. Per-test rationale in the lane ledger (category + reason for every removal).
87 lines
3.2 KiB
Python
87 lines
3.2 KiB
Python
"""Tests for Meta api.meta.ai prompt_cache_retention and transport plumbing."""
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import pytest
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from agent.transports import get_transport
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from agent.transports.codex import _default_prompt_cache_retention_for_request
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@pytest.fixture
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def transport():
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import agent.transports.codex # noqa: F401
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return get_transport("codex_responses")
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class TestMetaRetention:
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def test_meta_retention_also_for_generic_model_name(self, transport):
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for model in ["muse-spark", "meta/muse-spark-1.2-2026-04-01", "gpt-5.4", ""]:
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kw = transport.build_kwargs(
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model=model,
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messages=[{"role": "user", "content": "Hi"}],
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tools=[],
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base_url="https://api.meta.ai/v1",
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session_id="sid",
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)
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assert kw.get("prompt_cache_retention") == "24h", f"model={model!r}"
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def test_meta_retention_helper_direct(self):
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assert _default_prompt_cache_retention_for_request("muse-spark-1.2", "https://api.meta.ai/v1") == "24h"
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assert _default_prompt_cache_retention_for_request("muse-spark-1.2", "https://API.META.AI/v1") == "24h"
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assert _default_prompt_cache_retention_for_request("muse-spark-1.2", "https://api.meta.ai:443/v1") == "24h"
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def test_meta_retention_override_wins(self, transport):
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kw = transport.build_kwargs(
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model="muse-spark-1.2",
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messages=[{"role": "user", "content": "Hi"}],
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tools=[],
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base_url="https://api.meta.ai/v1",
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session_id="sid",
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request_overrides={"prompt_cache_retention": "in_memory"},
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)
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assert kw.get("prompt_cache_retention") == "in_memory"
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def test_non_meta_no_retention(self, transport):
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kw = transport.build_kwargs(
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model="muse-spark-1.2",
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messages=[{"role": "user", "content": "Hi"}],
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tools=[],
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base_url="https://generic.example.com/v1",
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session_id="sid",
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)
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assert "prompt_cache_retention" not in kw
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def test_meta_prompt_cache_key_is_content_addressed(self, transport):
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messages = [{"role": "user", "content": "Hi"}]
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kw = transport.build_kwargs(
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model="muse-spark-1.2",
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messages=messages,
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tools=[],
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base_url="https://api.meta.ai/v1",
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session_id="cron_job_xxx_20260624_143000",
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)
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pck = kw.get("prompt_cache_key", "")
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assert pck.startswith("pck_")
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# stable across different cron fire timestamps (same scope)
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kw2 = transport.build_kwargs(
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model="muse-spark-1.2",
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messages=messages,
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tools=[],
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base_url="https://api.meta.ai/v1",
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session_id="cron_job_xxx_20260624_143500",
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)
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assert kw["prompt_cache_key"] == kw2["prompt_cache_key"]
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def test_meta_reasoning_effort_passthrough(self, transport):
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kw = transport.build_kwargs(
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model="muse-spark-1.2",
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messages=[{"role": "user", "content": "Hi"}],
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tools=[],
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base_url="https://api.meta.ai/v1",
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session_id="sid",
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reasoning_config={"effort": "high", "enabled": True},
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)
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assert kw.get("reasoning") == {"effort": "high", "summary": "auto"}
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