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| """ | |
| Tests for the SchemaOptimizer to ensure it correctly processes and | |
| optimizes the schemas for agent actions without losing information. | |
| """ | |
| from pydantic import BaseModel | |
| from browser_use.agent.views import AgentOutput | |
| from browser_use.llm.schema import SchemaOptimizer | |
| from browser_use.tools.service import Tools | |
| class ProductInfo(BaseModel): | |
| """A sample structured output model with multiple fields.""" | |
| price: str | |
| title: str | |
| rating: float | None = None | |
| def test_optimizer_preserves_all_fields_in_structured_done_action(): | |
| """ | |
| Ensures the SchemaOptimizer does not drop fields from a custom structured | |
| output model when creating the schema for the 'done' action. | |
| This test specifically checks for a bug where fields were being lost | |
| during the optimization process. | |
| """ | |
| # 1. Setup a tools with a custom output model, simulating an Agent | |
| # being created with an `output_model_schema`. | |
| tools = Tools(output_model=ProductInfo) | |
| # 2. Get the dynamically created AgentOutput model, which includes all registered actions. | |
| ActionModel = tools.registry.create_action_model() | |
| agent_output_model = AgentOutput.type_with_custom_actions(ActionModel) | |
| # 3. Run the schema optimizer on the agent's output model. | |
| optimized_schema = SchemaOptimizer.create_optimized_json_schema(agent_output_model) | |
| # 4. Find the 'done' action schema within the optimized output. | |
| # The path is properties -> action -> items -> anyOf -> [schema with 'done']. | |
| done_action_schema = None | |
| actions_schemas = optimized_schema.get('properties', {}).get('action', {}).get('items', {}).get('anyOf', []) | |
| for action_schema in actions_schemas: | |
| if 'done' in action_schema.get('properties', {}): | |
| done_action_schema = action_schema | |
| break | |
| # 5. Assert that the 'done' action schema was successfully found. | |
| assert done_action_schema is not None, "Could not find 'done' action in the optimized schema." | |
| # 6. Navigate to the schema for our custom data model within the 'done' action. | |
| # The path is properties -> done -> properties -> data -> properties. | |
| done_params_schema = done_action_schema.get('properties', {}).get('done', {}) | |
| structured_data_schema = done_params_schema.get('properties', {}).get('data', {}) | |
| final_properties = structured_data_schema.get('properties', {}) | |
| # 7. Assert that the set of fields in the optimized schema matches the original model's fields. | |
| original_fields = set(ProductInfo.model_fields.keys()) | |
| optimized_fields = set(final_properties.keys()) | |
| assert original_fields == optimized_fields, ( | |
| f"Field mismatch between original and optimized structured 'done' action schema.\n" | |
| f'Missing from optimized: {original_fields - optimized_fields}\n' | |
| f'Unexpected in optimized: {optimized_fields - original_fields}' | |
| ) | |
| def test_gemini_schema_retains_required_fields(): | |
| """Gemini schema should keep explicit required arrays for mandatory fields.""" | |
| schema = SchemaOptimizer.create_gemini_optimized_schema(ProductInfo) | |
| assert 'required' in schema, 'Gemini schema removed required fields.' | |
| required_fields = set(schema['required']) | |
| assert {'price', 'title'}.issubset(required_fields), 'Mandatory fields must stay required for Gemini.' | |