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2025-08-16 00:43:48 +05:00
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@@ -93,9 +93,9 @@ Models like GPT-5 do not return raw thinking content, but instead return thinkin
If you wish to have the fastest responses, I'd recommend setting `--reasoning-effort` to low, and `--reasoning-summary` to none. If you wish to have the fastest responses, I'd recommend setting `--reasoning-effort` to low, and `--reasoning-summary` to none.
All parameters and choices can be seen by sending `python chatgpt_local.py serve --h` All parameters and choices can be seen by sending `python chatgpt_local.py serve --h`
**When the model returns a thinking summary, the model will send back thinking tags to make it compatiable with chat apps. If you don't like this behavior, you can instead set `--reasoning-compat` to legacy, and reasoning will be set in the reasoning tag instead of being returned in the actual response text.** **When the model returns a thinking summary, the model will send back thinking tags to make it compatible with chat apps. If you don't like this behavior, you can instead set `--reasoning-compat` to legacy, and reasoning will be set in the reasoning tag instead of being returned in the actual response text.**
# Todo # TODO
- Implement Ollama support (?) - Implement Ollama support (?)
- Explore to see if we can make more model settings accessible - Explore to see if we can make more model settings accessible
- Implement analytics (token counting, etc, to track usage) - Implement analytics (token counting, etc, to track usage)