[Feature] Add OpenAI Streaming Model and Kimi K2 API model#2208
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Mor-Li merged 3 commits intoopen-compass:mainfrom Jul 22, 2025
Merged
[Feature] Add OpenAI Streaming Model and Kimi K2 API model#2208Mor-Li merged 3 commits intoopen-compass:mainfrom
Mor-Li merged 3 commits intoopen-compass:mainfrom
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…figs - Add OpenAISDKStreaming class with concurrent streaming support - Implement independent client instances to fix multi-threading issues - Add streaming and non-streaming Kimi K2 model configurations - Update models init to include new streaming class - Set retry limit to 10 for better stability The streaming implementation is essential to prevent connection timeout errors that commonly occur with non-streaming requests. Without streaming, API calls often fail due to timeouts and connection drops, leading to retry exhaustion even with 100 retries, making evaluation impossible to complete. This implementation resolves concurrent request blocking issues in streaming mode by creating isolated OpenAI client instances for each request, preventing resource conflicts between parallel tasks.
Myhs-phz
approved these changes
Jul 22, 2025
dbinthesky
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Jul 29, 2025
…ass#2208) * feat: Add OpenAI streaming model implementation and Kimi K2 model configs - Add OpenAISDKStreaming class with concurrent streaming support - Implement independent client instances to fix multi-threading issues - Add streaming and non-streaming Kimi K2 model configurations - Update models init to include new streaming class - Set retry limit to 10 for better stability The streaming implementation is essential to prevent connection timeout errors that commonly occur with non-streaming requests. Without streaming, API calls often fail due to timeouts and connection drops, leading to retry exhaustion even with 100 retries, making evaluation impossible to complete. This implementation resolves concurrent request blocking issues in streaming mode by creating isolated OpenAI client instances for each request, preventing resource conflicts between parallel tasks. * [Fix] fix pre-commit * [Model] Add deepseek-r1 streaming
zyc140345
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Oct 23, 2025
…ass#2208) * feat: Add OpenAI streaming model implementation and Kimi K2 model configs - Add OpenAISDKStreaming class with concurrent streaming support - Implement independent client instances to fix multi-threading issues - Add streaming and non-streaming Kimi K2 model configurations - Update models init to include new streaming class - Set retry limit to 10 for better stability The streaming implementation is essential to prevent connection timeout errors that commonly occur with non-streaming requests. Without streaming, API calls often fail due to timeouts and connection drops, leading to retry exhaustion even with 100 retries, making evaluation impossible to complete. This implementation resolves concurrent request blocking issues in streaming mode by creating isolated OpenAI client instances for each request, preventing resource conflicts between parallel tasks. * [Fix] fix pre-commit * [Model] Add deepseek-r1 streaming
iamkaia
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that referenced
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Feb 4, 2026
…ass#2208) * feat: Add OpenAI streaming model implementation and Kimi K2 model configs - Add OpenAISDKStreaming class with concurrent streaming support - Implement independent client instances to fix multi-threading issues - Add streaming and non-streaming Kimi K2 model configurations - Update models init to include new streaming class - Set retry limit to 10 for better stability The streaming implementation is essential to prevent connection timeout errors that commonly occur with non-streaming requests. Without streaming, API calls often fail due to timeouts and connection drops, leading to retry exhaustion even with 100 retries, making evaluation impossible to complete. This implementation resolves concurrent request blocking issues in streaming mode by creating isolated OpenAI client instances for each request, preventing resource conflicts between parallel tasks. * [Fix] fix pre-commit * [Model] Add deepseek-r1 streaming
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The streaming implementation is essential to prevent connection timeout errors
that commonly occur with non-streaming requests. Without streaming, API calls
often fail due to timeouts and connection drops, leading to retry exhaustion
even with 100 retries, making evaluation impossible to complete.