.h ddlmZddlZddlZddlmZddlmZddlm Z ddl m Z ddl m Z mZmZdd lmZerdd lmZGd d ejZGd dejZGddejZdS)) annotationsN) AsyncIterator) TYPE_CHECKING)AgentOutputSchemaBase)Handoff) ModelResponseTResponseInputItemTResponseStreamEvent)Tool) ModelSettingsc0eZdZdZ dZ dZ d dZd dZdS) ModelTracingrrreturnboolc"|tjkSN)rDISABLEDselfs T/var/www/FlaskApp/flask-venv/lib/python3.11/site-packages/agents/models/interface.py is_disabledzModelTracing.is_disableds|,,,c"|tjkSr)rENABLEDrs r include_datazModelTracing.include_datas|+++rN)rr)__name__ __module__ __qualname__rrENABLED_WITHOUT_DATArrrrrrsUH'G7B----,,,,,,rrcVeZdZdZejddZejddZdS)Modelz&The base interface for calling an LLM.system_instructions str | Noneinputstr | list[TResponseInputItem]model_settingsr tools list[Tool] output_schemaAgentOutputSchemaBase | Nonehandoffs list[Handoff]tracingrprevious_response_idrr c KdS)aGet a response from the model. Args: system_instructions: The system instructions to use. input: The input items to the model, in OpenAI Responses format. model_settings: The model settings to use. tools: The tools available to the model. output_schema: The output schema to use. handoffs: The handoffs available to the model. tracing: Tracing configuration. previous_response_id: the ID of the previous response. Generally not used by the model, except for the OpenAI Responses API. Returns: The full model response. Nr" rr%r'r)r*r,r.r0r1s r get_responsezModel.get_response%s : r#AsyncIterator[TResponseStreamEvent]cdS)aStream a response from the model. Args: system_instructions: The system instructions to use. input: The input items to the model, in OpenAI Responses format. model_settings: The model settings to use. tools: The tools available to the model. output_schema: The output schema to use. handoffs: The handoffs available to the model. tracing: Tracing configuration. previous_response_id: the ID of the previous response. Generally not used by the model, except for the OpenAI Responses API. Returns: An iterator of response stream events, in OpenAI Responses format. Nr"r3s rstream_responsezModel.stream_responseDs : rN)r%r&r'r(r)r r*r+r,r-r.r/r0rr1r&rr )r%r&r'r(r)r r*r+r,r-r.r/r0rr1r&rr5)rrr __doc__abcabstractmethodr4r7r"rrr$r$"s`00    <       rr$c4eZdZdZejddZdS) ModelProviderzoThe base interface for a model provider. Model provider is responsible for looking up Models by name. model_namer&rr$cdS)zGet a model by name. Args: model_name: The name of the model to get. Returns: The model. Nr")rr=s r get_modelzModelProvider.get_modeljsrN)r=r&rr$)rrr r8r9r:r?r"rrr<r<dsB        rr<) __future__rr9enumcollections.abcrtypingr agent_outputrr.ritemsr r r toolr r)r EnumrABCr$r<r"rrrIsJ"""""" )))))) 000000KKKKKKKKKK/......,,,,,49,,,"? ? ? ? ? CG? ? ? D     CG     r