Morph

LiteLLM supports all models on Morph

Overview

Morph provides specialized AI models designed for agentic workflows, particularly excelling at precise code editing and manipulation. Their "Apply" models enable targeted code changes without full file rewrites, making them ideal for AI agents that need to make intelligent, context-aware code modifications.

API Key

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

Sample Usage

from litellm import completion

# set env variable 
os.environ["MORPH_API_KEY"] = "your-api-key"

messages = [
    {"role": "user", "content": "Write a Python function to calculate factorial"}
]

## Morph v3 Fast - Optimized for speed
response = completion(
    model="morph/morph-v3-fast",
    messages=messages,
)
print(response)

## Morph v3 Large - Most capable model
response = completion(
    model="morph/morph-v3-large", 
    messages=messages,
)
print(response)

Sample Usage - Streaming

from litellm import completion

# set env variable
os.environ["MORPH_API_KEY"] = "your-api-key"

messages = [
    {"role": "user", "content": "Write a Python function to calculate factorial"}
]

## Morph v3 Fast with streaming
response = completion(
    model="morph/morph-v3-fast",
    messages=messages,
    stream=True,
)

for chunk in response:
    print(chunk)

Supported Models

Model Name	Function Call	Description	Context Window
morph-v3-fast	completion('morph/morph-v3-fast', messages)	Fastest model, optimized for quick responses	16k tokens
morph-v3-large	completion('morph/morph-v3-large', messages)	Most capable model for complex tasks	16k tokens

Usage - LiteLLM Proxy Server

Here's how to use Morph with the LiteLLM Proxy Server:

1. Save API key in your environment

export MORPH_API_KEY="your-api-key"

2. Add model to config.yaml

model_list:
  - model_name: morph-v3-fast
    litellm_params:
      model: morph/morph-v3-fast
      
  - model_name: morph-v3-large
    litellm_params:
      model: morph/morph-v3-large

3. Start the proxy server

litellm --config config.yaml

Advanced Usage

Setting API Base

import litellm 

# set custom api base
response = completion(
    model="morph/morph-v3-large",
    messages=[{"role": "user", "content": "Hello, world!"}],
    api_base="https://api.morphllm.com/v1"
)
print(response)

Setting API Key

import litellm 

# set api key via completion
response = completion(
    model="morph/morph-v3-large",
    messages=[{"role": "user", "content": "Hello, world!"}],
    api_key="your-api-key"
)
print(response)