Morph is an advanced AI model designed to apply code edits generated by Large Language Models (LLMs) like GPT-4o and Claude, merging them into clean, ready-to-use code at speeds of 2000+ tokens per second. It serves as the "write" layer for AI agents, enabling instant and efficient code transformation. Morph is trained on millions of code edits and offers specialized embeddings and reranking models for code, ensuring high accuracy and context awareness. It also provides options for self-hosting in a user's cloud for maximum security and control.
Morph
Morph rapidly applies LLM code edits to files, serving as AI agent's 'write' layer.
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What is Morph?
How to use
Users can integrate Morph via its API to apply code edits from LLMs. The process involves providing original code and an LLM-generated update snippet, which Morph then merges and applies to the file at high speeds. Users can obtain an API Key to get started and utilize its capabilities for code transformation.
Core Features
- Fast Apply: Merges LLM changes into code and files at 2000+ tokens per second.
- Embeddings Model: Custom-trained on millions of commits for high-precision code search.
- Reranking Model: Custom-trained on millions of code examples for context-aware results and relevant prompt packing.
- Speculative Edits: Utilizes specialized inference optimizations and speculative decoding.
- Self-Host in Your Cloud: Allows deployment in the user's own infrastructure for maximum security and control.
Use Cases
- Applying LLM-generated code edits to existing files.
- Building AI agents that interact with and modify codebases.
- Automated code transformation and refactoring.
- Enhancing code retrieval and context for LLM prompts.
- Ensuring type safety in AI-generated code updates.
FAQ
What's the point of Morph?
Morph is designed to apply code edits generated by LLMs extremely fast and accurately, serving as the "write" layer for AI agents to transform code instantly and efficiently.
Can I self-host Morph at my company?
Yes, Morph can be deployed in your own infrastructure (VPC/Private Cloud) for maximum security, control, and complete data isolation, while retaining its speed benefits.
Can I use this on stuff that's not code, like docs?
Morph is specifically built for and trained on millions of code edits and transformations. While not explicitly stated as impossible for other document types, its core functionality and optimization are geared towards code.
Why do I need this? Shouldn't I just use Claude or 4o Mini?
Morph is significantly faster (2000+ tokens/second) and more accurate for applying code edits compared to general LLMs like Claude or GPT-4o, and it is also 10x cheaper than GPT-4o for this specific task.
How fast is Morph?
Morph can apply code edits at speeds of 2000+ tokens per second.
Is Morph safe to use for production code?
Yes, Morph offers enterprise-grade security, complete data isolation, and options for self-hosting in your own secure environment, making it suitable for production code.
Pricing
Pros & Cons
Pros
- Extremely fast code application (2000+ tokens/second).
- High accuracy in applying edits, outperforming other models.
- Cost-effective (10x cheaper than GPT-4o for applying edits).
- Specialized models for code embeddings and reranking.
- Supports self-hosting for enterprise-grade security and data isolation.
- Designed for production use with AI agents.
- Handles complex code merging, not just patches.
Cons
- First application may experience a cold start, leading to initial slowness.
- Primarily focused on code, not explicitly stated for other document types.