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2025-08-16 01:03:45 +05:00
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@@ -17,14 +17,14 @@ ChatMock runs a local server that creates an OpenAI compatible API, and requests
1. Sign in with your ChatGPT account and follow the prompts
```bash
python chatgpt_local.py login
python chatmock.py login
```
You can make sure this worked by running `python chatgpt_local.py info`
You can make sure this worked by running `python chatmock.py info`
2. After the login completes successfully, you can just simply start the local server
```bash
python chatgpt_local.py serve
python chatmock.py serve
```
- Then, you can simply use the address and port as the baseURL as you require (http://127.0.0.1:8000 by default)
@@ -92,7 +92,7 @@ Models like GPT-5 do not return raw thinking content, but instead return thinkin
## Notes
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 chatmock.py serve --h`
**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.**