Check Health
There is easy way of checking the health of your ProxAI connections.
import proxai as px
px.check_health()You can also run the command from the command line:
$ python3 -c 'import proxai as px; px.check_health()'This command tries to make queries to all the providers and models in parallel and checks if there are any issues with the connections. After running the command, you check the results from:
- Console output:
From cache;
0 models are working.
0 models are failed.
Running test for 70 models.
Testing (mistral, open-mixtral-8x7b)...
Testing (openai, chatgpt-4o-latest)...
Testing (openai, gpt-4.1-mini)...
...
After test;
66 models are working.
4 models are failed.
Test duration: 36.304316 seconds.
> Finished testing.
Registered Providers: 9
Succeeded Models: 66
Failed Models: 4
> claude:
[ WORKING | 0.65s ]: 3-haiku
[ WORKING | 1.34s ]: 3-sonnet
[ WORKING | 0.98s ]: 3.5-sonnet
...
> cohere:
[ WORKING | 23.35s ]: command
[ WORKING | 0.37s ]: command-a
[ WORKING | 0.43s ]: command-light
...
...- ProxDash Experiment Directory:
proxai.co/dashboard/experiments >/exp/connection_health/YYYY-MM-DD_HH-MM-SS.
Parameters
| Option | Type | Default Value | Description |
|---|---|---|---|
experiment_path | Optional[str] | None | Path to the experiment directory. If not provided, check health
creates default directory in
connection_health/YYYY-MM-DD_HH-MM-SS format with current date and
time. |
verbose | bool | True | If True, the command will print the details of the health
check to the console. |
allow_multiprocessing | bool | True | If True, the command will use multiprocessing to check the health
of the connections. |
model_test_timeout | int | 25 | Timeout for the model test in seconds. If the model test takes longer than this, it will be killed and marked as failed. |
extensive_return | bool | False | If True, the command will return detailed px.types.ModelStatus
object with the check_health results. |