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@@ -14,16 +14,24 @@ your actions.
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Create a workflow to use the AI inference action:
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```yaml
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steps:
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- name: Test Local Action
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id: inference
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uses: actions/ai-inference@v1
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with:
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prompt: 'Hello!'
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name: 'AI inference'
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on: workflow_dispatch
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- name: Print Output
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id: output
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run: echo "${{ steps.test-action.outputs.response }}"
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jobs:
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inference:
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permissions:
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models: read
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runs-on: ubuntu-latest
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steps:
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- name: Test Local Action
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id: inference
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uses: actions/ai-inference@v1
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with:
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prompt: 'Hello!'
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- name: Print Output
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id: output
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run: echo "${{ steps.inference.outputs.response }}"
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```
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## Inputs
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@@ -31,13 +39,14 @@ steps:
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Various inputs are defined in [`action.yml`](action.yml) to let you configure
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the action:
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| Name | Description | Default |
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| ------------ | ------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
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| `token` | Token to use for inference. Typically the GITHUB_TOKEN secret | `github.token` |
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| `prompt` | The prompt to send to the model | N/A |
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| `model` | The model to use for inference. Must be available in the [GitHub Models](https://github.com/marketplace?type=models) catalog | `gpt-4o` |
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| `endpoint` | The endpoint to use for inference. If you're running this as part of an org, you should probably use the org-specific Models endpoint | `https://models.github.ai/inference` |
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| `max_tokens` | The max number of tokens to generate | 200 |
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| Name | Description | Default |
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| --------------- | ------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
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| `token` | Token to use for inference. Typically the GITHUB_TOKEN secret | `github.token` |
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| `prompt` | The prompt to send to the model | N/A |
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| `system-prompt` | The system prompt to send to the model | `""` |
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| `model` | The model to use for inference. Must be available in the [GitHub Models](https://github.com/marketplace?type=models) catalog | `gpt-4o` |
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| `endpoint` | The endpoint to use for inference. If you're running this as part of an org, you should probably use the org-specific Models endpoint | `https://models.github.ai/inference` |
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| `max-tokens` | The max number of tokens to generate | 200 |
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## Outputs
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+12
-4
@@ -4,27 +4,35 @@ author: 'GitHub'
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# Add your action's branding here. This will appear on the GitHub Marketplace.
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branding:
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icon: 'play-circle'
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icon: 'message-square'
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color: red
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# Define your inputs here.
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inputs:
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prompt:
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description: Your input description here
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description: The prompt for the model
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required: true
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default: ''
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model:
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description: The model to use
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required: false
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default: 'gpt-4o'
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default: 'openai/gpt-4o'
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endpoint:
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description: The endpoint to use
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required: false
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default: 'https://models.github.ai/inference'
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max_tokens:
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system-prompt:
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description: The system prompt for the model
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required: false
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default: 'You are a helpful assistant'
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max-tokens:
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description: The maximum number of tokens to generate
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required: false
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default: '200'
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token:
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description: The token to use
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required: false
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default: ${{ github.token }}
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# Define your outputs here.
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outputs:
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+1
-1
@@ -1 +1 @@
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<svg xmlns="http://www.w3.org/2000/svg" width="116" height="20" role="img" aria-label="Coverage: 89.47%"><title>Coverage: 89.47%</title><linearGradient id="s" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="r"><rect width="116" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#r)"><rect width="63" height="20" fill="#555"/><rect x="63" width="53" height="20" fill="#dfb317"/><rect width="116" height="20" fill="url(#s)"/></g><g fill="#fff" text-anchor="middle" font-family="Verdana,Geneva,DejaVu Sans,sans-serif" text-rendering="geometricPrecision" font-size="110"><text aria-hidden="true" x="325" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="530">Coverage</text><text x="325" y="140" transform="scale(.1)" fill="#fff" textLength="530">Coverage</text><text aria-hidden="true" x="885" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="430">89.47%</text><text x="885" y="140" transform="scale(.1)" fill="#fff" textLength="430">89.47%</text></g></svg>
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<svg xmlns="http://www.w3.org/2000/svg" width="116" height="20" role="img" aria-label="Coverage: 76.92%"><title>Coverage: 76.92%</title><linearGradient id="s" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="r"><rect width="116" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#r)"><rect width="63" height="20" fill="#555"/><rect x="63" width="53" height="20" fill="#e05d44"/><rect width="116" height="20" fill="url(#s)"/></g><g fill="#fff" text-anchor="middle" font-family="Verdana,Geneva,DejaVu Sans,sans-serif" text-rendering="geometricPrecision" font-size="110"><text aria-hidden="true" x="325" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="530">Coverage</text><text x="325" y="140" transform="scale(.1)" fill="#fff" textLength="530">Coverage</text><text aria-hidden="true" x="885" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="430">76.92%</text><text x="885" y="140" transform="scale(.1)" fill="#fff" textLength="430">76.92%</text></g></svg>
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|
Before Width: | Height: | Size: 1.1 KiB After Width: | Height: | Size: 1.1 KiB |
+24
-7
@@ -33559,21 +33559,28 @@ async function run() {
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if (prompt === undefined || prompt === '') {
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throw new Error('prompt is not set');
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}
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const systemPrompt = coreExports.getInput('system_prompt');
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const systemPrompt = coreExports.getInput('system-prompt');
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const modelName = coreExports.getInput('model');
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const maxTokens = parseInt(coreExports.getInput('max_tokens'), 10);
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const token = process.env['GITHUB_TOKEN'];
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const maxTokens = parseInt(coreExports.getInput('max-tokens'), 10);
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const token = coreExports.getInput('token') || process.env['GITHUB_TOKEN'];
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if (token === undefined) {
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throw new Error('GITHUB_TOKEN is not set');
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}
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const endpoint = coreExports.getInput('endpoint');
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let endpoint = coreExports.getInput('endpoint');
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// If we're in an org-owned repository, we should use the org-owned endpoint
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const repoOwner = process.env.GITHUB_REPOSITORY_OWNER;
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const ownerType = process.env.GITHUB_REPOSITORY_OWNER_TYPE;
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if (endpoint == 'https://models.github.ai/inference' &&
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ownerType == 'Organization') {
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endpoint = `https://models.github.ai/${repoOwner}/inference`;
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}
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const client = createClient(endpoint, new AzureKeyCredential(token));
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const response = await client.path('/chat/completions').post({
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body: {
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messages: [
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{
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role: 'system',
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content: systemPrompt || 'You are a helpful assistant.'
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content: systemPrompt
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},
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{ role: 'user', content: prompt }
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],
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@@ -33584,7 +33591,13 @@ async function run() {
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}
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});
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if (isUnexpected(response)) {
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throw response.body.error;
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if (response.body.error) {
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throw response.body.error;
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}
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throw new Error('An error occurred while fetching the response (' +
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response.status +
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'): ' +
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response.body);
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}
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const modelResponse = response.body.choices[0].message.content;
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// Set outputs for other workflow steps to use
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@@ -33592,8 +33605,12 @@ async function run() {
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}
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catch (error) {
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// Fail the workflow run if an error occurs
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if (error instanceof Error)
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if (error instanceof Error) {
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coreExports.setFailed(error.message);
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}
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else {
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coreExports.setFailed('An unexpected error occurred');
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}
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}
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}
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+1
-1
File diff suppressed because one or more lines are too long
+30
-7
@@ -14,15 +14,26 @@ export async function run(): Promise<void> {
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throw new Error('prompt is not set')
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}
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const systemPrompt: string = core.getInput('system_prompt')
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const systemPrompt: string = core.getInput('system-prompt')
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const modelName: string = core.getInput('model')
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const maxTokens: number = parseInt(core.getInput('max_tokens'), 10)
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const maxTokens: number = parseInt(core.getInput('max-tokens'), 10)
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const token = process.env['GITHUB_TOKEN']
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const token = core.getInput('token') || process.env['GITHUB_TOKEN']
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if (token === undefined) {
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throw new Error('GITHUB_TOKEN is not set')
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}
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const endpoint = core.getInput('endpoint')
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let endpoint = core.getInput('endpoint')
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// If we're in an org-owned repository, we should use the org-owned endpoint
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const repoOwner = process.env.GITHUB_REPOSITORY_OWNER
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const ownerType = process.env.GITHUB_REPOSITORY_OWNER_TYPE
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if (
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endpoint == 'https://models.github.ai/inference' &&
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ownerType == 'Organization'
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) {
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endpoint = `https://models.github.ai/${repoOwner}/inference`
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}
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const client = ModelClient(endpoint, new AzureKeyCredential(token))
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@@ -31,7 +42,7 @@ export async function run(): Promise<void> {
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messages: [
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{
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role: 'system',
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content: systemPrompt || 'You are a helpful assistant.'
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content: systemPrompt
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},
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{ role: 'user', content: prompt }
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],
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@@ -43,7 +54,15 @@ export async function run(): Promise<void> {
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})
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if (isUnexpected(response)) {
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throw response.body.error
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if (response.body.error) {
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throw response.body.error
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}
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throw new Error(
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'An error occurred while fetching the response (' +
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response.status +
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'): ' +
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response.body
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)
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}
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const modelResponse: string | null =
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@@ -53,6 +72,10 @@ export async function run(): Promise<void> {
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core.setOutput('response', modelResponse || '')
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} catch (error) {
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// Fail the workflow run if an error occurs
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if (error instanceof Error) core.setFailed(error.message)
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if (error instanceof Error) {
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core.setFailed(error.message)
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} else {
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core.setFailed('An unexpected error occurred')
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}
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}
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}
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Reference in New Issue
Block a user