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bff78a34dc
GLM-5.2 ships with a 1M (1,048,576) token context window. Without this entry, Hermes falls through to the generic 'glm' key (202,752 tokens), under-reporting the context bar and prematurely compressing conversations. The 1M limit was verified empirically via needle-in-a-haystack retrieval at 789,240 prompt tokens on api.z.ai/api/coding/paas/v4 — zero errors, zero truncation, correct retrieval at every tested size (25K through 789K). Changes: - agent/model_metadata.py: add 'glm-5.2': 1_048_576 before 'glm' fallback - hermes_cli/models.py: add glm-5.2 to zai curated models - hermes_cli/setup.py: add glm-5.2 to setup wizard zai list - hermes_cli/auth.py: add glm-5.2 to coding plan endpoint probes - plugins/model-providers/zai/__init__.py: add glm-5.2 to fallback_models - tests/agent/test_model_metadata.py: context resolution + vendor-prefix tests
22 lines
573 B
Python
22 lines
573 B
Python
"""ZAI / GLM provider profile."""
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from providers import register_provider
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from providers.base import ProviderProfile
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zai = ProviderProfile(
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name="zai",
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aliases=("glm", "z-ai", "z.ai", "zhipu"),
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env_vars=("GLM_API_KEY", "ZAI_API_KEY", "Z_AI_API_KEY"),
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display_name="Z.AI (GLM)",
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description="Z.AI / GLM — Zhipu AI models",
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signup_url="https://z.ai/",
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fallback_models=(
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"glm-5.2",
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"glm-5",
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"glm-4-9b",
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),
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base_url="https://api.z.ai/api/paas/v4",
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default_aux_model="glm-4.5-flash",
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)
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register_provider(zai)
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