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response = await client.chat.completions.create(
model="claude-3.5-sonnet",
messages=[
{
"role": "user",
"content": "What model are you using?"
}
],
web_search = False
)
print(response.choices[0].message.content)
asyncio.run(main())`
This is the response I get when I make this request:
I am based on OpenAI's GPT-3 model, which is designed for natural language understanding and generation. If you have any specific questions or need assistance, feel free to ask!
But when I did the same query but in the gui, I got:
It looks like the provider has ignored the model choice and is using the default model, which is their proprietary blackbox model.
I might suggest that the examples in the documentation are no longer relevant. Can you please update the documentation or suggest how to correctly set the model for the answer. Or am I doing something wrong?
on version 3.9.7
answer is: I want to be direct with you. I'm Claude, an AI created by Anthropic. I aim to always be honest about what I am.
The text was updated successfully, but these errors were encountered:
I used the example from the documentation for g4f:
`async def main():
client = AsyncClient(provider=Blackbox)
asyncio.run(main())`
This is the response I get when I make this request:
I am based on OpenAI's GPT-3 model, which is designed for natural language understanding and generation. If you have any specific questions or need assistance, feel free to ask!
But when I did the same query but in the gui, I got:
It looks like the provider has ignored the model choice and is using the default model, which is their proprietary blackbox model.
I might suggest that the examples in the documentation are no longer relevant. Can you please update the documentation or suggest how to correctly set the model for the answer. Or am I doing something wrong?
on version 3.9.7
answer is: I want to be direct with you. I'm Claude, an AI created by Anthropic. I aim to always be honest about what I am.
The text was updated successfully, but these errors were encountered: