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Trying to run sample on two devices (Pixel 8 Android 15 with "Enable on-device GenAI Features" enabled, Pixel 9 Pro w/ GrapheneOS w/play services & AICore installed), and I get the following error:
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every time I send a message to the AI from the app, this exception is thrown:
```
com.google.ai.client.generativeai.type.QuotaExceededException: Quota exceeded for quota metric 'Generate Content A…
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### Description of the bug:
Unable to get response_logprobs in response body - unrecognized parameter
### Actual vs expected behavior:
[According to this cookbook](https://github.com/google-gemin…
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The examples cause the following exception when used:
System.Net.Http.HttpRequestException: 'An internal error has occurred. ConfigurationLoadCredential failed: Unknown (0x80090331) (generativelang…
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### System Info
Anaconda 23.7.2
Windows 11
Python 3.11.5
### Who can help?
@hwchase17 @agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
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kegbo updated
2 months ago
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### Description of the feature request:
Currently, the [Python Quickstart](https://ai.google.dev/tutorials/python_quickstart) documentation for using the Gemini API suggests setting the API key i…
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**Is your feature request related to a problem? Please describe.**
When we try to use Gemini LLM we only have option to pass it as an `API KEY`, what if we have a json file through which we want to c…
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### Description of the bug:
Both of the following results in an error.
```python
model = genai.GenerativeModel(
model_name="models/gemini-1.5-pro-001",
system_instruction=(...),
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GenerativeModel reponse hang on multireaded case.
Works fine on windows.
Also added workaround.
#### Environment details
- OS type and version: linux (any type of include GCP containerized O…
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### Description of the bug:
when i use `gemini-1.5-flash` or `gemini-1.5-pro` i have no problem asking for json return like so
```python
model = genai.GenerativeModel("gemini-1.5-flash",system_ins…