Empower

LiteLLM supports all models on Empower.

API Keys

import os 
os.environ["EMPOWER_API_KEY"] = "your-api-key"

Example Usage

from litellm import completion 
import os

os.environ["EMPOWER_API_KEY"] = "your-api-key"

messages = [{"role": "user", "content": "Write me a poem about the blue sky"}]

response = completion(model="empower/empower-functions", messages=messages)
print(response)

Example Usage - Streaming

from litellm import completion 
import os

os.environ["EMPOWER_API_KEY"] = "your-api-key"

messages = [{"role": "user", "content": "Write me a poem about the blue sky"}]

response = completion(model="empower/empower-functions", messages=messages, streaming=True)
for chunk in response:
    print(chunk['choices'][0]['delta'])

Example Usage - Automatic Tool Calling

from litellm import completion 
import os

os.environ["EMPOWER_API_KEY"] = "your-api-key"

messages = [{"role": "user", "content": "What's the weather like in San Francisco, Tokyo, and Paris?"}]
tools = [
    {
        "type": "function",
        "function": {
            "name": "get_current_weather",
            "description": "Get the current weather in a given location",
            "parameters": {
                "type": "object",
                "properties": {
                    "location": {
                        "type": "string",
                        "description": "The city and state, e.g. San Francisco, CA",
                    },
                    "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
                },
                "required": ["location"],
            },
        },
    }
]

response = completion(
    model="empower/empower-functions-small",
    messages=messages,
    tools=tools,
    tool_choice="auto",  # auto is default, but we'll be explicit
)
print("\nLLM Response:\n", response)

Empower Models

liteLLM supports non-streaming and streaming requests to all models on https://empower.dev/

Example Empower Usage - Note: liteLLM supports all models deployed on Empower

Empower LLMs - Automatic Tool Using models

Model Name	Function Call	Required OS Variables
empower/empower-functions	completion('empower/empower-functions', messages)	os.environ['TOGETHERAI_API_KEY']
empower/empower-functions-small	completion('empower/empower-functions-small', messages)	os.environ['TOGETHERAI_API_KEY']