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OpenLLM |
To use OpenLLM with promptfoo, we take advantage of OpenLLM's support for OpenAI-compatible endpoint.
Start the server using the openllm start
command.
Set environment variables:
OPENAI_BASE_URL
to http://localhost:8001/v1
OPENAI_API_KEY
to a dummy value foo
.Depending on your use case, use the chat
or completion
model types.
Chat format example: To run a Llama2 eval using chat-formatted prompts, first start the model:
openllm start llama --model-id meta-llama/Llama-2-7b-chat-hf
Then set the promptfoo configuration:
providers:
- openai:chat:llama2
Completion format example: To run a Flan eval using completion-formatted prompts, first start the model:
openllm start flan-t5 --model-id google/flan-t5-large
Then set the promptfoo configuration:
providers:
- openai:completion:flan-t5
See OpenAI provider documentation for more details.
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promptfoo is now integrated with AWS S3!
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promptfoo is now integrated with Google Cloud Storage!
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Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
promptfoo is now integrated with Azure Cloud Storage!
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Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
promptfoo is now integrated with your S3 compatible storage!
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