Comments (2)
michaeltremeer
commented on August 29, 2024
Hey @edjez, there is another fork of this repo which has a number of bugfixes and additional tools to resolve exactly what you are looking for. Have a look at the README here (ctrl+f for "combine_logs"): https://github.com/michaeltremeer/azure-openai-benchmark. Note that you will need to rerun your tests using the fork, since right now none of the run info is logged in this official repo
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technicianted
commented on August 29, 2024
There is probably no need for this as you can pipe stdout to jq and reformat jsonl any which way you want.
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Related Issues (20)
- Any plan to adding visualization result in this package? HOT 3
- Utilization Statistics - avg, P95
- Typo when setting "presence penalty" parameter
- RequestBuilder is prepared with hardcoded value of "gpt-4-0613"
- Renaming "frequence_penalty" function argument to "frequency_penalty"
- Considering "retry-after" header as well when retrying throttled requests.
- Documenting reference for header values used.
- RETRY_AFTER_MS_HEADER not getting properly "honored" HOT 1
- Decoupling Throttling retries logic & Throttling backoff logic. HOT 4
- Fixing the while loop logic of retry mechanism for 429 requests HOT 1
- Value for MAX_RETRY_SECONDS should not be hardcoded HOT 2
- Documenting about MAX_RETRY_SECONDS HOT 2
- Documenting about the two types of retry logics for 429 errors. HOT 2
- Count of Completed Requests & Total Requests is same
- Properly reflecting the count of "requests"
- Purpose of stats call condition in while loop?
- Difference in the e2e_avg latency observed in the benchmarking tool and Azure portal
- Issue with azure benchmarking tool on passing input tokens greater than 30k
- Issue while running benchmarking tool in setting the rpm
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