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How to avoid context loss due to model switching in multiple rounds of conversation with genspark2api?

2025-09-05 1.5 K

Context-sensitive technology program

The genspark2api binds models to conversations by default, but the following operational details should be noted:

  • Session ID Passing: in/chat/completionsThe request adds theconversation_idFields (automatically generated if not provided)
  • Message History Maintenance: Each request needs to contain the fullmessagesArray (with records of previous conversations)
  • Model Lock: Set on non-streaming requests"fixed_model": trueParameter disable auto switching
  • timeout control: Configurationkeep_aliveParameter (in seconds) extends session hold time

Example of a full request:
{
"model": "gpt-4o",
"conversation_id": "uuid123",
"messages": [
{"role": "user", "content": "上一轮问题"},
{"role": "assistant", "content": "上一轮回答"},
{"role": "user", "content": "新问题"}
],
"fixed_model": true
}

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