https://github.com/andreban/gemini-rust

A demo for using Google's Vertex API / Gemini demos in Rust via the REST API.
https://github.com/andreban/gemini-rust

gemini gemini-pro rust vertex-ai

Last synced: 6 months ago
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A demo for using Google's Vertex API / Gemini demos in Rust via the REST API.

• Host: GitHub
• URL: https://github.com/andreban/gemini-rust
• Owner: andreban
• Created: 2023-12-27T14:41:00.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-04-08T06:15:58.000Z (6 months ago)
• Last Synced: 2025-04-13T22:09:31.463Z (6 months ago)
• Topics: gemini, gemini-pro, rust, vertex-ai
• Language: Rust
• Homepage: https://cloud.google.com/vertex-ai/docs/reference/rest
• Size: 176 KB
• Stars: 12
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Vertex API / Gemini in Rust [![Rust](https://github.com/andreban/gemini-rust/actions/workflows/rust.yml/badge.svg?branch=main)](https://github.com/andreban/gemini-rust/actions/workflows/rust.yml)

A port of the [Vertex API][4] Gemini [demos by Mete Atamel][1] to Rust.

## Running the demos

1. Enable the Vertex AI API in the [Cloud Console][2].

2. Install the [Google Cloud SDK][3] is insalled and configured and that you are logged in into an account with the Vertex API enabled in the Cloud Console. You can use `gcloud auth login` to log in.

3. Ensure you have the following environment variables set:

  - `API_ENDPOINT`: The endpoint of the Vertex AI API.

  - `PROJECT_ID`: The ID of the project to use.

  - `LOCATION_ID`: The ID of the location to use (also called region).

Alternatively, create `.cargo/config.toml` with the following content:

```toml

[env]

API_ENDPOINT=""

PROJECT_ID=""

LOCATION_ID="`.

[1]: https://github.com/meteatamel/genai-samples/tree/main/vertexai/gemini/console/csharp/rest

[2]: https://console.cloud.google.com/apis/library/aiplatform.googleapis.com?q=vertex

[3]: https://cloud.google.com/sdk/?hl=en_US

[4]: https://cloud.google.com/vertex-ai/docs