slidedeckai.helpers.llm_helper#
Helper functions to access LLMs using LiteLLM.
Get a LiteLLM-compatible object for streaming. |
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Get a LiteLLM-compatible object for streaming. |
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Convert provider and model to LiteLLM model name format. |
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Parse and get LLM provider and model name from strings like [provider]model/name-version. |
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Verify whether LLM settings are proper. |
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Stream completion from LiteLLM. |
Helper functions to access LLMs using LiteLLM.
- slidedeckai.helpers.llm_helper.get_langchain_llm(provider: str, model: str, max_new_tokens: int, api_key: str = '', azure_endpoint_url: str = '', azure_deployment_name: str = '', azure_api_version: str = '') object | None#
Get a LiteLLM-compatible object for streaming.
- Parameters:
provider – The LLM provider.
model – The name of the LLM.
max_new_tokens – The maximum number of tokens to generate.
api_key – API key or access token to use.
azure_endpoint_url – Azure OpenAI endpoint URL.
azure_deployment_name – Azure OpenAI deployment name.
azure_api_version – Azure OpenAI API version.
- Returns:
A LiteLLM-compatible object for streaming; None in case of any error.
- slidedeckai.helpers.llm_helper.get_litellm_llm(provider: str, model: str, max_new_tokens: int, api_key: str = '', azure_endpoint_url: str = '', azure_deployment_name: str = '', azure_api_version: str = '') object | None[source]#
Get a LiteLLM-compatible object for streaming.
- Parameters:
provider – The LLM provider.
model – The name of the LLM.
max_new_tokens – The maximum number of tokens to generate.
api_key – API key or access token to use.
azure_endpoint_url – Azure OpenAI endpoint URL.
azure_deployment_name – Azure OpenAI deployment name.
azure_api_version – Azure OpenAI API version.
- Returns:
A LiteLLM-compatible object for streaming; None in case of any error.
- slidedeckai.helpers.llm_helper.get_litellm_model_name(provider: str, model: str) str | None[source]#
Convert provider and model to LiteLLM model name format.
Note: Azure OpenAI models are handled separately in stream_litellm_completion() and should not be passed to this function.
- Parameters:
provider – The LLM provider.
model – The model name.
- Returns:
LiteLLM-compatible model name, or None if provider is not supported.
- slidedeckai.helpers.llm_helper.get_provider_model(provider_model: str, use_ollama: bool) tuple[str, str][source]#
Parse and get LLM provider and model name from strings like [provider]model/name-version.
- Parameters:
provider_model – The provider, model name string from GlobalConfig.
use_ollama – Whether Ollama is used (i.e., running in offline mode).
- Returns:
The provider and the model name; empty strings in case no matching pattern found.
- slidedeckai.helpers.llm_helper.is_valid_llm_provider_model(provider: str, model: str, api_key: str, azure_endpoint_url: str = '', azure_deployment_name: str = '', azure_api_version: str = '') bool[source]#
Verify whether LLM settings are proper. This function does not verify whether api_key is correct. It only confirms that the key has at least five characters. Key verification is done when the LLM is created.
- Parameters:
provider – Name of the LLM provider.
model – Name of the model.
api_key – The API key or access token.
azure_endpoint_url – Azure OpenAI endpoint URL.
azure_deployment_name – Azure OpenAI deployment name.
azure_api_version – Azure OpenAI API version.
- Returns:
True if the settings “look” OK; False otherwise.
- slidedeckai.helpers.llm_helper.stream_litellm_completion(provider: str, model: str, messages: list, max_tokens: int, api_key: str = '', azure_endpoint_url: str = '', azure_deployment_name: str = '', azure_api_version: str = '') Iterator[str][source]#
Stream completion from LiteLLM.
- Parameters:
provider – The LLM provider.
model – The name of the LLM.
messages – List of messages for the chat completion.
max_tokens – The maximum number of tokens to generate.
api_key – API key or access token to use.
azure_endpoint_url – Azure OpenAI endpoint URL.
azure_deployment_name – Azure OpenAI deployment name.
azure_api_version – Azure OpenAI API version.
- Returns:
Iterator of response chunks.