Howto & Style

How to Use OpenAI Codex for Free

📚 Main Topics

Introduction to Codeex
- Overview of OpenAI's CLI tool, Codeex.
- Default usage of the model04 Mini and associated costs.
Switching Providers
- Ability to use alternative models from platforms like Open Router, Gemini, and Olama.
- Running models locally to avoid costs.
Setting Up Open Router
- Instructions for using the provider flag with Open Router.
- Steps to create and set an Open Router API key.
Exploring Available Models
- How to find and select free models on Open Router.
- Example of using the Mistral model to query repository contents.
Running Models Locally with Olama
- Steps to download and install Olama.
- Instructions for running models locally and setting up the Olama API key.
Trial and Error with Models
- Importance of experimenting with different models to find the best fit.
- Example of querying a project structure using a locally run model.
Conclusion
- Summary of the benefits of using Codeex for free by leveraging local models.
- Reminder of the availability of various providers and models, some of which may incur costs.

✨ Key Takeaways

Cost-Free UsageBy switching to alternative providers and running models locally, users can utilize Codeex without incurring costs.
API Key ManagementProper handling of API keys is crucial; they must be created, copied, and stored securely.
Model SelectionUsers should explore different models to find the most suitable one for their needs, especially when using free options.
Local ExecutionRunning models locally can enhance performance and accessibility, allowing for offline use.

🧠 Lessons Learned

Flexibility in Model UsageUsers are not limited to OpenAI's models; exploring other providers can yield better or free options.
Technical SetupFamiliarity with command-line tools and environment variables is essential for effective use of Codeex.
Resource ManagementBe aware of the resource requirements for running large models locally, as they can be demanding on system performance.

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Transcript excerpt

0:00 Let me show you how you can use OpenAI's CLI tool, Codeex, for free. By default, if you've used Codeex before, you'll notice that you're using the model04 Mini. Now, this is one of OpenAI's models and it costs money in order to use the API to send and receive requests. Well, since every OpenAI model requires some amount of price in order to put in any inputs and get any outputs. This means that you have to supply your account with some money in order to use Codeex at all, at least with the OpenAI models. But now we have the ability to switch providers. So we

0:31 don't just have to use open AI. We could use any model in the open router platform or the Gemini models or Olama particularly. We could pull down an Olama model onto our machine, run it locally and then configure it to be used inside of codeex. So we don't have to pay anything. We're literally running the model on our machine. So let's check out how we can do that. Well, the first way is I want to show you using the provider flag and using open router. So all we do here is we call C codeex which is our CLI tool and then we put a d-provider and then we follow that with

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