Teknium
f2f6dce785
Reconciles the salvaged Responses-API mandate with the bundled meta-ai plugin that landed in #88565: - meta-ai profile api_mode -> codex_responses (prompt caching engages only on /v1/responses; 0% vs 93-99% measured). Custom endpoints with a non-api.meta.ai base URL still fall through to chat_completions via the host-driven mandate design. - cli-config.yaml.example: point the example at MODEL_API_KEY (Meta's documented env var) and note the bundled provider covers the default endpoint - tests/providers/test_meta_ai_profile.py updated for the new wire
62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
"""Tests for the bundled Meta Model API (Muse Spark) provider plugin.
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Adapted from the plugin's original suite at
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https://github.com/albertodepaola/hermes-meta-provider — the plugin is now
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bundled, so profiles resolve through normal registry discovery.
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"""
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import pytest
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from providers import get_provider_profile
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def _profile():
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p = get_provider_profile("meta-ai")
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assert p is not None
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return p
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class TestMetaAIProfile:
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def test_profile_registered(self):
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p = _profile()
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assert p.name == "meta-ai"
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assert p.base_url == "https://api.meta.ai/v1"
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assert p.auth_type == "api_key"
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# Responses API engages Muse prompt caching (0% on chat/completions
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# vs 93-99% on /v1/responses with prompt_cache_retention).
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assert p.api_mode == "codex_responses"
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assert "MODEL_API_KEY" in p.env_vars
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assert p.supports_vision is True
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assert p.default_aux_model == "muse-spark-1.2-contributor"
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assert p.default_max_tokens == 16384
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assert "muse-spark-1.2-contributor" in p.fallback_models
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assert "muse-spark-1.2" in p.fallback_models
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@pytest.mark.parametrize("alias", ["meta", "muse", "muse-spark", "model-api", "msl"])
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def test_aliases_resolve(self, alias):
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assert get_provider_profile(alias) is _profile()
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def _effort(cfg):
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_eb, top = _profile().build_api_kwargs_extras(reasoning_config=cfg)
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return top.get("reasoning_effort")
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class TestReasoningEffort:
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def test_mapping(self):
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assert _effort(None) == "medium" # unset -> medium
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assert _effort({"enabled": True, "effort": "high"}) == "high"
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assert _effort({"enabled": True, "effort": "low"}) == "low"
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assert _effort({"enabled": True, "effort": "max"}) == "xhigh"
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assert _effort({"enabled": False}) == "minimal" # disabled -> minimal
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# Meta 400s on "none" — must map to "minimal"
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assert _effort({"effort": "none"}) == "minimal"
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def test_never_uses_extra_body(self):
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"""The dial must be top-level, not extra_body.reasoning (core-gated path)."""
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eb, top = _profile().build_api_kwargs_extras(
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reasoning_config={"enabled": True, "effort": "high"}
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)
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assert eb == {}
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assert "reasoning_effort" in top
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