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Initiates an agent conversation and returns a complete response. This endpoint manages the full lifecycle of an agent interaction, from receiving the initial message through all processing steps until completion. Supports synchronous execution (waits for completion) and asynchronous execution (returns immediately with task ID). The response includes all messages exchanged, tool calls made, and token usage statistics. Ideal for request-response patterns where you need the complete interaction result.
from orq_ai_sdk import Orqimport oswith Orq( api_key=os.getenv("ORQ_API_KEY", ""),) as orq: res = orq.agents.responses.create(agent_key="<value>", message={ "role": "tool", "parts": [], }, identity={ "id": "contact_01ARZ3NDEKTSV4RRFFQ69G5FAV", "display_name": "Jane Doe", "email": "jane.doe@example.com", "metadata": [ { "department": "Engineering", "role": "Senior Developer", }, ], "logo_url": "https://example.com/avatars/jane-doe.jpg", "tags": [ "hr", "engineering", ], }, thread={ "id": "thread_01ARZ3NDEKTSV4RRFFQ69G5FAV", "tags": [ "customer-support", "priority-high", ], }, background=False, stream=False) with res as event_stream: for event in event_stream: # handle event print(event, flush=True)
Optional task ID to continue an existing agent execution. When provided, the agent will continue the conversation from the existing task state. The task must be in an inactive state to continue.
Retrieves the current state of an agent response by task ID. Returns the response output, model information, token usage, and execution status. When the agent is still processing, the output array will be empty and status will be in_progress. Once completed, the response includes the full output, usage statistics, and finish reason.
from orq_ai_sdk import Orqimport oswith Orq( api_key=os.getenv("ORQ_API_KEY", ""),) as orq: res = orq.agents.responses.get(agent_key="<value>", task_id="<id>") # Handle response print(res)