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

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

Usage - LiteLLM Proxy Server

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

1. Save API key in your environment

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

# 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

# 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)