AzureOpenAI
This module implements a wrapper for Azure OpenAI completion models, using BaseLLM as a base class.
AzureOpenAI
Bases: BaseLLM
A class for interacting with a Azure OpenAI deployment throught the OpenAI Completions API.
Inherits from BaseLLM.
Uses the specified OpenAI model and parameters for interacting with the OpenAI API.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
deployment_name |
str
|
The name of the Azure deployment to use. |
required |
azure_openai_endpoint |
str
|
The Azure OpenAI endpoint to use. |
required |
azure_api_version |
str
|
The Azure OpenAI API version to use. |
'2023-05-15'
|
temperature |
float
|
The temperature to use for text generation. |
0.7
|
max_tokens |
int
|
The maximum number of tokens to generate. |
500
|
max_retries |
int
|
The maximum number of retries for generating tokens. |
3
|
api_key |
str
|
The API key to use for interacting with the OpenAI API. |
required |
Attributes:
Name | Type | Description |
---|---|---|
temperature |
float
|
The temperature to use for text generation. |
max_tokens |
int
|
The maximum number of tokens to generate. |
max_retries |
int
|
The maximum number of retries for generating tokens. |
Source code in llmflows/llms/azure_openai.py
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|
generate(prompt)
Generates text from a given prompt using OpenAI API.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
prompt |
str
|
Text prompt for generation. |
required |
Returns:
Type | Description |
---|---|
tuple[str, dict, dict]
|
A tuple containing the generated text, the raw response data, and the model configuration. |
Source code in llmflows/llms/azure_openai.py
generate_async(prompt)
async
Generates text from a given prompt using OpenAI API asynchronously.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
prompt |
str
|
Text prompt for generation. |
required |
Returns:
Type | Description |
---|---|
tuple[str, dict, dict]
|
A tuple containing the generated text, the raw response data, and the model configuration. |