mirror of
https://github.com/BerriAI/litellm.git
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Merge 585899f1cc into 98d46ee59d
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commit
3d135a8fe7
2 changed files with 19 additions and 1 deletions
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@ -85,6 +85,16 @@ _TOOLS: Final = MappingProxyType(
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}
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)
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_CHAT_DEFAULTS: Final = MappingProxyType(
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{
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"max_output_tokens": 120000,
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"supports_function_calling": True,
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"supports_parallel_function_calling": True,
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"supports_reasoning": True,
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"supports_tool_choice": True,
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}
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)
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CAPABILITY_RULES: Final = (
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_rule(
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"MiniMaxAI/MiniMax-M3",
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@ -308,6 +318,7 @@ def _new_entry(model: CatalogModel, mode: str) -> RegistryEntry:
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"litellm_provider": PROVIDER,
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"mode": mode,
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"source": SOURCE_URL,
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**(_CHAT_DEFAULTS if model.type == "chat" else {}),
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**(dict(rule.fields) if rule else {}),
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}
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return dict(sorted(merged.items()))
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@ -105,6 +105,7 @@ def test_added_chat_model_matches_reviewed_registry_shape() -> None:
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"input_cost_per_token": 3e-06,
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"litellm_provider": "together_ai",
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"max_input_tokens": 1048576,
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"max_output_tokens": 120000,
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"max_tokens": 1048576,
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"mode": "chat",
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"output_cost_per_token": 1.5e-05,
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@ -119,6 +120,12 @@ def test_added_chat_model_matches_reviewed_registry_shape() -> None:
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}
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def test_unreviewed_chat_model_gets_catalog_defaults() -> None:
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outcome = sync.compute_sync({}, [_chat_model("acme/unreviewed")], _doc({"x": "2026-01-01"}))
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entry = outcome.cost_map["together_ai/acme/unreviewed"]
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assert {key: entry[key] for key in sync._CHAT_DEFAULTS} == dict(sync._CHAT_DEFAULTS)
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def test_added_embedding_model_has_no_output_token_cap() -> None:
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outcome = sync.compute_sync({}, RECORDED_CATALOG, RECORDED_DOC)
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assert outcome.cost_map["together_ai/intfloat/multilingual-e5-large-instruct"] == {
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@ -144,7 +151,7 @@ def test_output_ceiling_comes_from_the_rule_never_from_context_length() -> None:
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glm = next(model for model in RECORDED_CATALOG if model.id == "zai-org/GLM-5.2")
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fresh = sync.compute_sync({}, [_chat_model("acme/unreviewed", ctx=1048576), glm], _doc({"x": "2026-01-01"}))
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unreviewed = fresh.cost_map["together_ai/acme/unreviewed"]
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assert "max_output_tokens" not in unreviewed
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assert unreviewed["max_output_tokens"] == 120000
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assert (unreviewed["max_input_tokens"], unreviewed["max_tokens"]) == (1048576, 1048576)
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reviewed = fresh.cost_map["together_ai/zai-org/GLM-5.2"]
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assert (reviewed["max_input_tokens"], reviewed["max_output_tokens"], reviewed["max_tokens"]) == (
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