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test_other_constraints_preserved
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@@ -1113,66 +1113,6 @@
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"supports_vision": true,
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"tool_use_system_prompt_tokens": 346
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},
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"au.anthropic.claude-opus-4-6-v1:0": {
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"cache_creation_input_token_cost": 6.875e-06,
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"cache_creation_input_token_cost_above_200k_tokens": 1.375e-05,
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"cache_read_input_token_cost": 5.5e-07,
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"cache_read_input_token_cost_above_200k_tokens": 1.1e-06,
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"input_cost_per_token": 5.5e-06,
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"input_cost_per_token_above_200k_tokens": 1.1e-05,
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"litellm_provider": "bedrock_converse",
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"max_input_tokens": 200000,
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"max_output_tokens": 128000,
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"max_tokens": 128000,
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"mode": "chat",
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"output_cost_per_token": 2.75e-05,
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"output_cost_per_token_above_200k_tokens": 4.125e-05,
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"search_context_cost_per_query": {
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"search_context_size_high": 0.01,
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"search_context_size_low": 0.01,
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"search_context_size_medium": 0.01
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},
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"supports_assistant_prefill": false,
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"supports_computer_use": true,
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"supports_function_calling": true,
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"supports_pdf_input": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_tool_choice": true,
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"supports_vision": true,
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"tool_use_system_prompt_tokens": 346
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},
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"au.anthropic.claude-opus-4-6-v1:0": {
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"cache_creation_input_token_cost": 6.875e-06,
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"cache_creation_input_token_cost_above_200k_tokens": 1.375e-05,
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"cache_read_input_token_cost": 5.5e-07,
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"cache_read_input_token_cost_above_200k_tokens": 1.1e-06,
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"input_cost_per_token": 5.5e-06,
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"input_cost_per_token_above_200k_tokens": 1.1e-05,
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"litellm_provider": "bedrock_converse",
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"max_input_tokens": 200000,
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"max_output_tokens": 128000,
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"max_tokens": 128000,
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"mode": "chat",
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"output_cost_per_token": 2.75e-05,
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"output_cost_per_token_above_200k_tokens": 4.125e-05,
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"search_context_cost_per_query": {
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"search_context_size_high": 0.01,
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"search_context_size_low": 0.01,
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"search_context_size_medium": 0.01
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},
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"supports_assistant_prefill": false,
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"supports_computer_use": true,
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"supports_function_calling": true,
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"supports_pdf_input": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_tool_choice": true,
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"supports_vision": true,
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"tool_use_system_prompt_tokens": 346
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},
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"anthropic.claude-sonnet-4-20250514-v1:0": {
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"cache_creation_input_token_cost": 3.75e-06,
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"cache_read_input_token_cost": 3e-07,
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@@ -5,9 +5,10 @@ This test file verifies that Pydantic models with various constraints
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are properly converted to Anthropic-compatible JSON schemas.
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"""
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from typing import List
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import pytest
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from pydantic import BaseModel, Field
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from typing import List
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class TestAnthropicStructuredOutput:
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@@ -23,7 +24,7 @@ class TestAnthropicStructuredOutput:
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Related issue: https://github.com/BerriAI/litellm/issues/19444
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"""
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from litellm.llms.anthropic.chat.transformation import AnthropicConfig
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# Define a Pydantic model with max_length on a List field
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class ResponseModel(BaseModel):
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items: List[str] = Field(max_length=5, description="List of items")
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@@ -130,40 +131,45 @@ class TestAnthropicStructuredOutput:
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def test_other_constraints_preserved(self):
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"""
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Test that other valid constraints are preserved.
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Test that string and numeric constraints are moved to description.
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Anthropic's output_format API doesn't support minLength/maxLength for
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strings or minimum/maximum for numbers. Per Anthropic's SDK approach,
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these constraints are removed from the schema and added to the
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description text instead.
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"""
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from litellm.llms.anthropic.chat.transformation import AnthropicConfig
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class ResponseModel(BaseModel):
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name: str = Field(max_length=100, min_length=1, description="Name")
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age: int = Field(ge=0, le=150, description="Age")
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items: List[str] = Field(description="Items list")
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config = AnthropicConfig()
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json_schema = config.get_json_schema_from_pydantic_object(ResponseModel)
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response_format = {
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"type": "json_schema",
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"json_schema": json_schema["json_schema"]
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"json_schema": json_schema["json_schema"],
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}
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output_format = config.map_response_format_to_anthropic_output_format(
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response_format
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)
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assert output_format is not None
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transformed_schema = output_format["schema"]
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# String constraints should be preserved
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# String constraints moved to description (not preserved in schema)
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name_schema = transformed_schema["properties"]["name"]
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assert "maxLength" in name_schema
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assert "minLength" in name_schema
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assert name_schema["maxLength"] == 100
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assert name_schema["minLength"] == 1
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# Number constraints should be preserved
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assert "maxLength" not in name_schema
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assert "minLength" not in name_schema
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assert "maximum length: 100" in name_schema["description"]
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assert "minimum length: 1" in name_schema["description"]
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# Number constraints moved to description (not preserved in schema)
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age_schema = transformed_schema["properties"]["age"]
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assert "minimum" in age_schema
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assert "maximum" in age_schema
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assert age_schema["minimum"] == 0
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assert age_schema["maximum"] == 150
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assert "minimum" not in age_schema
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assert "maximum" not in age_schema
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assert "minimum value: 0" in age_schema["description"]
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assert "maximum value: 150" in age_schema["description"]
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