AskCodi is an OpenAI-compatible orchestration layer that empowers developers to build and deploy custom "virtual models" on top of any large language model (LLM). By combining prompts, reasoning, review, and guardrails, teams can create reusable AI models tailored to their specific coding needs. These models can be used seamlessly across various development environments, including IDEs, CLI tools, and internal applications, all through a single, unified API.
The product eliminates the need for extensive training by allowing users to define custom models based on existing LLMs. This approach not only saves time but also ensures consistency and control over AI-generated code. With support for multiple LLM providers such as OpenAI, Anthropic, Google, and open-source models, AskCodi offers flexibility and cost efficiency, enabling teams to leverage the best available models without vendor lock-in.
AskCodi operates through three core steps:
Connect the Models You Already Use
Define Your Own "Code Models"
Use Them Everywhere You Work
| Benefit | Description |
|---|---|
| Flexibility | Supports multiple LLM providers and models, including open-source options. |
| Consistency | Ensures uniform AI behavior across different tools and projects. |
| Control | Allows teams to define rules, guardrails, and review processes. |
| Cost Efficiency | Enables use of lower-cost models where appropriate, while reserving expensive ones for critical tasks. |
| Scalability | Handles high volumes of requests with optimized infrastructure. |
| Ease of Integration | Uses OpenAI-compatible API, making it easy to adopt without major changes to existing workflows. |
