Skip to content

Add provider to create_embeddings function #70

@MendeBadra

Description

@MendeBadra

So, I've been exploring ways to use OpenAI.jl package's provider to have TogetherAI as mentioned in the README.md.

provider = OpenAI.OpenAIProvider(
    api_key = ENV["TOGETHER_API_KEY"],
    base_url = "https://api.together.xyz/v1"  # Must override OpenAI base
)

I can use create_chat function easily to chat with this model

response = create_chat(
    provider,
    "meta-llama/Llama-3.3-70B-Instruct-Turbo-Free",  # Use Together-compatible model name
    [Dict("role" => "user", "content" => "Write some ancient Mongolian poetry")]
)

println(response.response["choices"][begin]["message"]["content"])

However, there is no provider interface to the create_embeddings function, so I created my own:

import OpenAI: create_embeddings

function create_embeddings(
    provider::OpenAI.AbstractOpenAIProvider,
    input,
    model_id::String = DEFAULT_TOGETHERAI_EMBEDDING_MODEL_ID;
    http_kwargs::NamedTuple = NamedTuple(),
    kwargs...)
    return OpenAI.openai_request("embeddings",
        provider;
        method = "POST",
        http_kwargs = http_kwargs,
        model = model_id,
        input, 
        kwargs...)
end

resp = create_embeddings(
    provider,
    # ENV["TOGETHER_API_KEY"],
    horror_movies_tidier.overview[1];
    #model_id = DEFAULT_TOGETHERAI_EMBEDDING_MODEL_ID
)

Maybe we should add this function into the library itself?

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions