edenai-sdk 0.1.0a3

EdenAI SDK for python

Python SDK for EdenAI workflows

This package is in alpha and the api can still change

Installation

pip install edenai_sdk

Example

You can use client.create_or_update(name="my_unique_name", data=data) to create a workflow. If a workflow with this name already exists it will update the workflow. You can always view the workflow you've build in the UI in the EdenAI App

To see which parameters are availabe for each feature, you can check our api docs

from edenai_sdk.workflow import workflow_client

def main():
    client = workflow_client(
        api_key=os.environ.get("API_KEY")
    )

    data = {
        "nodes": [
            {
                "type": "input",
                "name": "Input_Node",
                "data": [
                    {"type": "string", "label": "text", "defaultValue": "Hello, world!"}
                ],
            },
            {
                "type": "text/chat",
                "name": "some_chat",
                "data": [
                    {"name": "provider", "value": "openai/gpt-4o"},
                    {"name": "text", "value": "explain me: {{Input_Node.text}}"},
                ],
            },
            {
                "type": "translation/automatic_translation",
                "name": "Translation",
                "data": [
                    {"name": "provider", "value": "google"},
                    {"name": "text", "value": "{{some_chat.generated_text}}"},
                    {"name": "source_language", "value": "en"},
                    {"name": "target_language", "value": "fr"},
                ],
            },
            {
                "type": "text/keyword_extraction",
                "name": "Keywords",
                "data": [
                    {"name": "provider", "value": "openai"},
                    {"name": "text", "value": "{{Translation.text}}"},
                ],
            },
            {
                "type": "code",
                "name": "some_code",
                "data": [
                    {
                        "name": "code",
                        "value": "const valueFromInput = {{ Input_Node.text }};\n  const valueFromNode = {{ some_chat.generated_text }};  \nfunction greet(msg) {\n  return `welcome ${msg}!`;\n};\n\nreturn {\n input: greet(valueFromInput),\n node: greet(valueFromNode),\n};",
                    }
                ],
            },
            {
                "type": "output",
                "name": "Output_Node",
                "data": [{"name": "french_keywords", "value": "{{Keywords.items[*].keyword}}"}],
            },
        ]
    }

    response = client.create_or_update(name="code_test", data=data)
    execution = client.execute(name="code_test", data={"text": "Tell me a story about Eden AI"})
    print(execution["output"])



if __name__ == "__main__":
    main()