Use correct Azure inference endpoint
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@@ -20,7 +20,7 @@ inputs:
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endpoint:
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endpoint:
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description: The endpoint to use
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description: The endpoint to use
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required: false
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required: false
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default: 'https://models.github.ai/inference'
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default: 'https://models.inference.ai.azure.com'
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system-prompt:
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system-prompt:
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description: The system prompt for the model
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description: The system prompt for the model
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required: false
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required: false
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@@ -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: 77.27%"><title>Coverage: 77.27%</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">77.27%</text><text x="885" y="140" transform="scale(.1)" fill="#fff" textLength="430">77.27%</text></g></svg>
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Before Width: | Height: | Size: 1.1 KiB After Width: | Height: | Size: 1.1 KiB |
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@@ -33584,17 +33584,27 @@ async function run() {
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}
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}
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});
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});
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if (isUnexpected(response)) {
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if (isUnexpected(response)) {
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if (response.body.error) {
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throw response.body.error;
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throw response.body.error;
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}
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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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const modelResponse = response.body.choices[0].message.content;
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// Set outputs for other workflow steps to use
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// Set outputs for other workflow steps to use
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coreExports.setOutput('response', modelResponse || '');
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coreExports.setOutput('response', modelResponse || '');
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}
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}
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catch (error) {
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catch (error) {
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// Fail the workflow run if an error occurs
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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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coreExports.setFailed(error.message);
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}
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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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}
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/**
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/**
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File diff suppressed because one or more lines are too long
+13
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@@ -43,8 +43,16 @@ export async function run(): Promise<void> {
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})
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})
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if (isUnexpected(response)) {
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if (isUnexpected(response)) {
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if (response.body.error) {
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throw response.body.error
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throw response.body.error
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}
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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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const modelResponse: string | null =
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response.body.choices[0].message.content
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response.body.choices[0].message.content
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@@ -53,6 +61,10 @@ export async function run(): Promise<void> {
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core.setOutput('response', modelResponse || '')
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core.setOutput('response', modelResponse || '')
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} catch (error) {
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} catch (error) {
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// Fail the workflow run if an error occurs
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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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}
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}
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