Store OpenAI responses without automatic chaining

With store=True (or store unset), Agno's OpenAIResponses used to both store responses on OpenAI and chain them for supported reasoning models. It set previous_response_id from the last assistant message and sent only the messages after that response, so Agno's history limits and refreshed instructions never reached the request. The only way to turn chaining off was store=False, which also turned off storage.

Set use_previous_response_id=False to keep responses in OpenAI's logs and send Agno's context every time:

from agno.agent import Agent
from agno.db.in_memory import InMemoryDb
from agno.models.openai import OpenAIResponses
 
agent = Agent(
    model=OpenAIResponses(
        id="gpt-5.6-luna",
        store=True,
        use_previous_response_id=False,
    ),
    db=InMemoryDb(),
    add_history_to_context=True,
    num_history_runs=2,
    instructions="Answer briefly using the conversation history when relevant.",
)

OpenAIResponses builds these requests for a follow-up turn with o4-mini when the history already holds a response ID (real output):

store=True
  store: True
  previous_response_id: resp_abc123
  input roles: ['user']
 
store=True, use_previous_response_id=False
  store: True
  previous_response_id: None
  include: ['reasoning.encrypted_content']
  input roles: ['developer', 'user', 'assistant', 'user']

use_previous_response_id defaults to True, so existing agents keep chaining for supported reasoning models whenever store is not False. store=False still turns off both storage and chaining. When chaining is off, OpenAIResponses requests encrypted reasoning, keeps it on each assistant message, and replays it before the assistant's text or function calls. Tool calls continue without a server-side chain, in regular and streaming runs. Explicit request_params overrides keep their precedence, so leave previous_response_id unset there when you use this option.

See the cookbook, and learn more about OpenAI Responses in the documentation.