Exception is thrown with large `max_tokens`.
Problem
Hello, I am trying to use a model with `max_tokens=64000`. However, an exception gets thrown, saying that, with a large `max_tokens`, streaming is strongly recommended. In particular, from where the exception is thrown and from the text of the exception it seems like this should be a warning instead? In my use case, I do not need streaming, and I am fine with not using it, even if the expected time to get a completion is long. Thank you in advance!
Error Output
exception gets thrown, saying that, with a large `max_tokens`, streaming is strongly recommended. In particular, from [where the exception is thrown](https://github.com/anthropics/anthropic-sdk-python/blob/main
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1 Fix
Adjust max_tokens and Implement Streaming for Large Requests
The exception is thrown because the model's API is designed to recommend streaming for large `max_tokens` values (like 64000) to handle the response efficiently and avoid timeouts. Without streaming, the request may take too long to process, leading to performance issues or failures.
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- 1
Reduce max_tokens Value
Consider reducing the `max_tokens` value to a more manageable size (e.g., 4096 or 8192) to avoid the need for streaming. This will allow the model to process the request without throwing an exception.
pythonmax_tokens = 4096 - 2
Implement Streaming
If you require the full response and cannot reduce `max_tokens`, implement streaming in your API call. This will allow the model to send partial responses as they are generated, which can handle larger token counts more effectively.
pythonresponse = client.completions.create(model='claude', prompt='your prompt', max_tokens=64000, stream=True) - 3
Handle Streaming Responses
Ensure your code can handle streamed responses correctly. This may involve iterating over the response chunks and concatenating them to form the complete output.
pythonfor chunk in response: print(chunk['choices'][0]['text'], end='') - 4
Test the Implementation
Run your application with the adjusted `max_tokens` or streaming implementation to ensure that it works without throwing exceptions and that the output is as expected.
pythonassert 'expected output' in output
Validation
Confirm the fix by running the application with both the reduced `max_tokens` and the streaming implementation. Ensure that no exceptions are thrown and that the output is generated correctly.
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Environment
Submitted by
Alex Chen
2450 rep