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Update the documentations(Module.md, Package.md and README.md) and update Ballerina.toml
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NipunaRanasinghe authored Aug 14, 2024
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83 changes: 80 additions & 3 deletions README.md
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## Overview

[//]: # (TODO: Add overview mentioning the purpose of the module, supported REST API versions, and other high-level details.)
[OpenAI](https://openai.com/), an AI research organization focused on creating friendly AI for humanity, offers the [OpenAI API](https://platform.openai.com/docs/api-reference/introduction) to access its powerful AI models for tasks like natural language processing and image generation.

The `ballarinax/openai.finetunes` package offers APIs to connect and interact with [the fine-tuning related endpoints of OpenAI REST API v1](https://platform.openai.com/docs/guides/fine-tuning) allowing users to customize OpenAI's AI models to meet specific needs.

## Setup guide

[//]: # (TODO: Add detailed steps to obtain credentials and configure the module.)
To use the OpenAI Connector, you must have access to the OpenAI API through a [OpenAI Platform account](https://platform.openai.com) and a project under it. If you do not have a OpenAI Platform account, you can sign up for one [here](https://platform.openai.com/signup).

#### Create a OpenAI API Key

1. Open the [OpenAI Platform Dashboard](https://platform.openai.com).

2. Navigate to Dashboard -> API keys
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/navigate-api-key-dashboard.png alt="OpenAI Platform" style="width: 70%;">

3. Click on the "Create new secret key" button
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/api-key-dashboard.png alt="OpenAI Platform" style="width: 70%;">

4. Fill the details and click on Create secret key
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/create-new-secret-key.png alt="OpenAI Platform" style="width: 70%;">

5. Store the API key securely to use in your application
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/saved-key.png alt="OpenAI Platform" style="width: 70%;">

## Quickstart

[//]: # (TODO: Add a quickstart guide to demonstrate a basic functionality of the module, including sample code snippets.)
To use the `OpenAI Finetunes` connector in your Ballerina application, update the `.bal` file as follows:

### Step 1: Import the module

Import the `openai.finetunes` module.

```ballerina
import ballerinax/openai.finetunes;
import ballerina/io;
```

### Step 2: Instantiate a new connector

Create a `finetunes:ConnectionConfig` with the obtained API Key and initialize the connector.

```ballerina
configurable string apiKey = ?;
final finetunes:Client openAIFinetunes = check new({
auth: {
token: apiKey
}
});
```

### Step 3: Invoke the connector operation

Now, utilize the available connector operations.

**Note**: First, create a sample.jsonl file in the same directory. This file should contain the training data formatted according to the guidelines provided [here](https://platform.openai.com/docs/api-reference/files/create).

#### Fine tuning the gpt-3.5-turbo model

```ballerina
public function main() returns error? {
finetunes:CreateFileRequest req = {
file: {fileContent: check io:fileReadBytes("sample.jsonl"), fileName: "sample.jsonl"},
purpose: "fine-tune"
};
finetunes:OpenAIFile fileRes = check openaiFinetunes->/files.post(req);
string fileId = fileRes.id;
CreateFineTuningJobRequest fineTuneRequest = {
model: "gpt-3.5-turbo",
training_file: fileId
};
FineTuningJob fineTuneResponse =
check openaiFinetunes->/fine_tuning/jobs.post(fineTuneRequest);
}
```

### Step 4: Run the Ballerina application

```bash
bal run
```

## Examples

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4 changes: 2 additions & 2 deletions ballerina/Ballerina.toml
Original file line number Diff line number Diff line change
Expand Up @@ -5,8 +5,8 @@ name = "openai.finetunes"
version = "1.0.5"
license = ["Apache-2.0"]
authors = ["Ballerina"]
keywords = [] # TODO: Add keywords
icon = "icon.png" # TODO: Add icon
keywords = ["AI/Fine-tunes", "OpenAI", "Cost/Paid", "Files", "Models", "Vendor/OpenAI"]
icon = "icon.png"
repository = "https://github.com/ballerina-platform/module-ballerinax-openai.finetunes"

[build-options]
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86 changes: 82 additions & 4 deletions ballerina/Module.md
Original file line number Diff line number Diff line change
@@ -1,17 +1,95 @@

## Overview

[//]: # (TODO: Add overview mentioning the purpose of the module, supported REST API versions, and other high-level details.)
[OpenAI](https://openai.com/), an AI research organization focused on creating friendly AI for humanity, offers the [OpenAI API](https://platform.openai.com/docs/api-reference/introduction) to access its powerful AI models for tasks like natural language processing and image generation.

The `ballarinax/openai.finetunes` package offers APIs to connect and interact with [the fine-tuning related endpoints of OpenAI REST API v1](https://platform.openai.com/docs/guides/fine-tuning) allowing users to customize OpenAI's AI models to meet specific needs.

## Setup guide

[//]: # (TODO: Add detailed steps to obtain credentials and configure the module.)
To use the OpenAI Connector, you must have access to the OpenAI API through a [OpenAI Platform account](https://platform.openai.com) and a project under it. If you do not have a OpenAI Platform account, you can sign up for one [here](https://platform.openai.com/signup).

#### Create a OpenAI API Key

1. Open the [OpenAI Platform Dashboard](https://platform.openai.com).

2. Navigate to Dashboard -> API keys
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/navigate-api-key-dashboard.png alt="OpenAI Platform" style="width: 70%;">

3. Click on the "Create new secret key" button
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/api-key-dashboard.png alt="OpenAI Platform" style="width: 70%;">

4. Fill the details and click on Create secret key
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/create-new-secret-key.png alt="OpenAI Platform" style="width: 70%;">

5. Store the API key securely to use in your application
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/saved-key.png alt="OpenAI Platform" style="width: 70%;">

## Quickstart

[//]: # (TODO: Add a quickstart guide to demonstrate a basic functionality of the module, including sample code snippets.)
To use the `OpenAI Finetunes` connector in your Ballerina application, update the `.bal` file as follows:

### Step 1: Import the module

Import the `openai.finetunes` module.

```ballerina
import ballerinax/openai.finetunes;
import ballerina/io;
```

### Step 2: Instantiate a new connector

Create a `finetunes:ConnectionConfig` with the obtained API Key and initialize the connector.

```ballerina
configurable string apiKey = ?;
final finetunes:Client openAIFinetunes = check new({
auth: {
token: apiKey
}
});
```

### Step 3: Invoke the connector operation

Now, utilize the available connector operations.

**Note**: First, create a sample.jsonl file in the same directory. This file should contain the training data formatted according to the guidelines provided [here](https://platform.openai.com/docs/api-reference/files/create).

#### Fine tuning the gpt-3.5-turbo model

```ballerina
public function main() returns error? {
finetunes:CreateFileRequest req = {
file: {fileContent: check io:fileReadBytes("sample.jsonl"), fileName: "sample.jsonl"},
purpose: "fine-tune"
};
finetunes:OpenAIFile fileRes = check openaiFinetunes->/files.post(req);
string fileId = fileRes.id;
CreateFineTuningJobRequest fineTuneRequest = {
model: "gpt-3.5-turbo",
training_file: fileId
};
FineTuningJob fineTuneResponse =
check openaiFinetunes->/fine_tuning/jobs.post(fineTuneRequest);
}
```

### Step 4: Run the Ballerina application

```bash
bal run
```

## Examples

The `OpenAI Finetunes` connector provides practical examples illustrating usage in various scenarios. Explore these [examples](https://github.com/module-ballerinax-openai.finetunes/tree/main/examples/), covering the following use cases:

[//]: # (TODO: Add examples)
[//]: # (TODO: Add examples)
86 changes: 82 additions & 4 deletions ballerina/Package.md
Original file line number Diff line number Diff line change
@@ -1,17 +1,95 @@

## Overview

[//]: # (TODO: Add overview mentioning the purpose of the module, supported REST API versions, and other high-level details.)
[OpenAI](https://openai.com/), an AI research organization focused on creating friendly AI for humanity, offers the [OpenAI API](https://platform.openai.com/docs/api-reference/introduction) to access its powerful AI models for tasks like natural language processing and image generation.

The `ballarinax/openai.finetunes` package offers APIs to connect and interact with [the fine-tuning related endpoints of OpenAI REST API v1](https://platform.openai.com/docs/guides/fine-tuning) allowing users to customize OpenAI's AI models to meet specific needs.

## Setup guide

[//]: # (TODO: Add detailed steps to obtain credentials and configure the module.)
To use the OpenAI Connector, you must have access to the OpenAI API through a [OpenAI Platform account](https://platform.openai.com) and a project under it. If you do not have a OpenAI Platform account, you can sign up for one [here](https://platform.openai.com/signup).

#### Create a OpenAI API Key

1. Open the [OpenAI Platform Dashboard](https://platform.openai.com).

2. Navigate to Dashboard -> API keys
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/navigate-api-key-dashboard.png alt="OpenAI Platform" style="width: 70%;">

3. Click on the "Create new secret key" button
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/api-key-dashboard.png alt="OpenAI Platform" style="width: 70%;">

4. Fill the details and click on Create secret key
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/create-new-secret-key.png alt="OpenAI Platform" style="width: 70%;">

5. Store the API key securely to use in your application
<img src=https://raw.githubusercontent.com/KATTA-00/module-ballerinax-openai.finetunes/docs/docs/setup/resources/saved-key.png alt="OpenAI Platform" style="width: 70%;">

## Quickstart

[//]: # (TODO: Add a quickstart guide to demonstrate a basic functionality of the module, including sample code snippets.)
To use the `OpenAI Finetunes` connector in your Ballerina application, update the `.bal` file as follows:

### Step 1: Import the module

Import the `openai.finetunes` module.

```ballerina
import ballerinax/openai.finetunes;
import ballerina/io;
```

### Step 2: Instantiate a new connector

Create a `finetunes:ConnectionConfig` with the obtained API Key and initialize the connector.

```ballerina
configurable string apiKey = ?;
final finetunes:Client openAIFinetunes = check new({
auth: {
token: apiKey
}
});
```

### Step 3: Invoke the connector operation

Now, utilize the available connector operations.

**Note**: First, create a sample.jsonl file in the same directory. This file should contain the training data formatted according to the guidelines provided [here](https://platform.openai.com/docs/api-reference/files/create).

#### Fine tuning the gpt-3.5-turbo model

```ballerina
public function main() returns error? {
finetunes:CreateFileRequest req = {
file: {fileContent: check io:fileReadBytes("sample.jsonl"), fileName: "sample.jsonl"},
purpose: "fine-tune"
};
finetunes:OpenAIFile fileRes = check openaiFinetunes->/files.post(req);
string fileId = fileRes.id;
CreateFineTuningJobRequest fineTuneRequest = {
model: "gpt-3.5-turbo",
training_file: fileId
};
FineTuningJob fineTuneResponse =
check openaiFinetunes->/fine_tuning/jobs.post(fineTuneRequest);
}
```

### Step 4: Run the Ballerina application

```bash
bal run
```

## Examples

The `OpenAI Finetunes` connector provides practical examples illustrating usage in various scenarios. Explore these [examples](https://github.com/module-ballerinax-openai.finetunes/tree/main/examples/), covering the following use cases:

[//]: # (TODO: Add examples)
[//]: # (TODO: Add examples)
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