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README
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## Why
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> [GitHub Copilot](https://docs.github.com/en/copilot/quickstart) is free to use for
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> <strong>verified</strong> [students], [teachers], and [maintainers] of <strong>popular</strong> open source projects.
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<details>
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- Students and teachers: visit [Benefits for everyone at school](https://education.github.com/benefits)
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- Maintainers: check https://github.com/github-copilot/free_signup
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If you are not eligible, it indicates that your project needs more stars.
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</details>
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Even if you don't meet the eligibility criteria, the paid subscription
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([_Individual_](https://docs.github.com/en/copilot/copilot-individual/about-github-copilot-individual))
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is more affordable than [OpenAI's offering](https://chat.openai.com/#pricing).
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It costs only $10 and still provides access to [GPT-4](https://openai.com/gpt-4).
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> [!NOTE]
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> If the above options are not suitable for you - consider trying completely
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> free alternative: [openai-gemini](https://github.com/PublicAffairs/openai-gemini).
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[students]: https://github.com/pricing#i-am-a-student-can-i-get-access-to-github-copilot-for-free
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[teachers]: https://github.com/pricing#i-am-a-teacher-can-i-get-access-to-github-copilot-for-free
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[maintainers]: https://github.com/pricing#i-work-on-open-source-projects-can-i-get-access-to-github-copilot-for-free
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## What
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GitHub Copilot chat is exclusively available through selected IDEs.
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The `openai-github-copilot` project enables its use across a broader range of tools.
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It provides a general OpenAI-compatible API that can be deployed at no cost.
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(However, a GitHub Copilot subscription is still required.)
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## Serverless?
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Although it runs in the cloud, it does not require server maintenance.
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It can be easily deployed to Cloudflare for free
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(with generous [limits](https://developers.cloudflare.com/workers/platform/limits/#worker-limits)
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suitable for personal use).
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> [!TIP]
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> Running the proxy endpoint locally is also an option,
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> though it's more appropriate for development use.
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## How to start
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First, you need to create an account on [Cloudflare](https://dash.cloudflare.com/sign-up).
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The simplest way to deploy is by manually pasting content of [`src/worker.mjs`](../cf-playground/src/worker.mjs)
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into https://workers.cloudflare.com/playground (see there `Deploy` button).
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> [!CAUTION]
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> This is a bit simplified version of the code, that does not implement token caching,
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> and lacks a "/token" page.
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> To deploy full-featured version, please refer to the section below.
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### Advanced instructions
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> [!TIP]
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> If your account is new and you haven't created any workers yet, some of the links mentioned below
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> might be inaccessible. Therefore, it's recommended to create at least a "Hello World" Worker:
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> [Deploy "Hello World" script](https://dash.cloudflare.com/?to=/:account/workers-and-pages/create/workers/new).
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> You can name it "copilot".
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[](
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https://deploy.workers.cloudflare.com/?url=https://github.com/PublicAffairs/openai-github-copilot)
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After clicking this button, you'll be guided through the process of forking the repository first,
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which is necessary for continuous integration (CI).
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> [!WARNING]
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> The initial deployment will fail, because it requires _KV namespace_, which does not exist yet.
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Navigate to [Workers & Pages / KV](https://dash.cloudflare.com/?to=/:account/workers/kv/namespaces)
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and create a namespace with _"copilot-KV"_ name.
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Next, copy its _ID_, and modify the [`wrangler.toml`](wrangler.toml) file in your forked repository,
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replacing the existing `id` with your copied value.
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Once you push these changes, the CI will automatically deploy the repo to Cloudflare Workers,
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this time without any issues.
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### Manual deployment
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Instead of using the "_button-deploy_", you can also manage the project locally using the
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[Cloudflare CLI](https://developers.cloudflare.com/workers/wrangler/):
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- Create a _KV namespace_: `wrangler kv:namespace create KV`
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(and update `id` value in your [`wrangler.toml`](wrangler.toml) file).
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- Serve locally: `wrangler dev`
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- Deploy to Cloudlare Workers: `wrangler deploy`
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## How to use
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If you open your newly-deployed site in a browser, you will only see a `404 Not Found` message.
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This is expected, as the API is not designed for direct browser access.
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To utilize it, you should enter your _API address_ and your Github Copilot _access token_
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into the corresponding fields in your software settings.
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> [!NOTE]
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> Not all software tools allow overriding the OpenAI endpoint, but many do
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> (however these settings can sometimes be deeply hidden).
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### API base / address / URL / ...
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Typically, you should specify the API base in this format:
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`https://copilot.YOURSUBDOMAIN.workers.dev/v1`
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However, some software may expect it without the `/v1` ending:
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`https://copilot.YOURSUBDOMAIN.workers.dev`
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The relevant field may be labeled as "_OpenAI proxy_".
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You might need to look under "_Advanced settings_" or similar sections.
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Alternatively, it could be in some config file (check the relevant documentation for details).
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For some command-line tools, you may need to set an environment variable, _e.g._:
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```sh
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set OPENAI_BASE_URL=https://copilot.YOURSUBDOMAIN.workers.dev/v1
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```
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_..or_:
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```sh
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set OPENAI_API_BASE=https://copilot.YOURSUBDOMAIN.workers.dev/v1
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```
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### API key
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First you need to obtain a Copilot-enabled Github _access token_
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(which should start either with `ghu_` or `gho_`).
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Once deployed, this project provides a "/token" web page that assists in generating such a token.
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For alternative methods, please refer to the [`scripts`](scripts).
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Input this token into the "_OpenAI API key_" field in your software settings.
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Alternatively, it might be located in some config file
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(check the relevant documentation for details).
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For some command-line tools, you may need to set an environment variable, _e.g._:
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```sh
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set OPENAI_API_KEY=ghu_...
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```
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## Tech notes
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Copilot provides following endpoints:
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- `/v1/chat/completions`
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- `tools` and other related properties are ignored.
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- Output is post-processed in order to remove differences from OpenAI's.
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The `model` property always appears as "gpt-4".
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- `/v1/embeddings`
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- [`input`](https://platform.openai.com/docs/api-reference/embeddings/create#embeddings-create-input):
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supports array of strings only
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- `encoding_format`, `dimensions`: ignored.
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- Output is not altered in any way, and has some minor differences from OpenAI's:
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- no `object` property (`"object": "embedding"`)
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- no `model` property (`"model": "text-embedding-3-small"`)
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- `/v1/models`: Copilot does not provide models list, so it was determined empirically,
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and this API endpoint is served with `openai-github-copilot` itself.
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- `/token`: serves a Web page that allows you to obtain a Github Copilot access token.
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