解析qtbase-opensource-src 仓库，报错tokens数量太大

[Bob2019-li]

ERROR - api.simple_chat - simple_chat.py:501 - Error with Openai API: Error code: 413 - {'error': {'message': '输入Tokens数量(1176440)超过系统限制(1000000) (request id: 2026020123301026091426VGEK0SGk)', 'type': 'new_api_error', 'param': '', 'code': 'local:invalid_request'}}

是下面这段代码报的错:
elif request.provider == "openai":
try:
# Get the response and handle it properly using the previously created api_kwargs
logger.info("Making Openai API call")
response = await model.acall(api_kwargs=api_kwargs, model_type=ModelType.LLM)
# Handle streaming response from Openai
async for chunk in response:
choices = getattr(chunk, "choices", [])
if len(choices) > 0:
delta = getattr(choices[0], "delta", None)
if delta is not None:
text = getattr(delta, "content", None)
if text is not None:
yield text
except Exception as e_openai:
logger.error(f"Error with Openai API: {str(e_openai)}")
yield f"\nError with Openai API: {str(e_openai)}\n\nPlease check that you have set the OPENAI_API_KEY environment variable with a valid API key."

我使用的embedder.json配置内容，用的是openai api

{
  "embedder": {
    "client_class": "OpenAIClient",
    "initialize_kwargs": {
      "api_key": "${OPENAI_API_KEY}",
      "base_url": "${OPENAI_BASE_URL}"
    },
    "batch_size": 8,
    "model_kwargs": {
      "model": "text-embedding-3-large",
      "dimensions": 512,
      "encoding_format": "float"
    }
  },
  "embedder_ollama": {
    "client_class": "OllamaClient",
    "model_kwargs": {
      "model": "nomic-embed-text"
    }
  },
  "retriever": {
    "top_k": 10
  },
  "text_splitter": {
    "split_by": "token",
    "chunk_size": 300,
    "chunk_overlap": 60
  }
}