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* fix(core): map GPT-5.6 to the official 1.05M context window LiteLLM fallback treated Sol, Terra, Luna, and the gpt-5.6 alias as unknown and used the 8k default. * fix(openai): give GPT-5.6 its own 1.05M window Native lookup matched gpt-5 first, so Sol, Terra, and Luna inherited 1,047,576. Longest-prefix matching keeps gpt-5 and gpt-5.4-mini on their own sizes. * fix(azure): map GPT-5.6 deployments to the official 1.05M window Azure had no gpt-5 / gpt-5.6 entry, so Sol, Terra, and Luna fell back to 8k. * feat(cli): list GPT-5.6 Sol, Terra, and Luna in curated catalogs The family is generally available; keep gpt-5.5 as the offline default. * refactor: keep context-window tables in longest-prefix order Drop the runtime sort and document that new keys must be inserted longest-first so startswith matching stays correct. * fix(core): resolve prefixed LiteLLM models to the GPT-5.6 window openai/gpt-5.6-luna kept its provider prefix on self.model, so startswith matching missed the 1.05M mapping. Strip recognized prefixes for lookup and leave unknown ones intact.
28 lines
914 B
Python
28 lines
914 B
Python
from crewai_cli.constants import ENV_VARS, MODELS, PROVIDERS
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def test_huggingface_in_providers():
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"""Test that Huggingface is in the PROVIDERS list."""
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assert "huggingface" in PROVIDERS
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def test_huggingface_env_vars():
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"""Test that Huggingface environment variables are properly configured."""
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assert "huggingface" in ENV_VARS
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assert any(
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detail.get("key_name") == "HF_TOKEN" for detail in ENV_VARS["huggingface"]
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)
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def test_huggingface_models():
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"""Test that Huggingface models are properly configured."""
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assert "huggingface" in MODELS
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assert len(MODELS["huggingface"]) > 0
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def test_openai_models_include_gpt56_family() -> None:
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"""Curated OpenAI list should include Sol, Terra, Luna, and the alias."""
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openai_models = MODELS["openai"]
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for model in ("gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-5.6"):
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assert model in openai_models
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