feat(openrouter): add app with create chat completion action

packages/backend/src/apps/openrouter/actions/create-chat-completion/index.js

@@ -0,0 +1,157 @@
+import defineAction from '../../../../helpers/define-action.js';
+
+const castFloatOrUndefined = (value) => {
+  return value === '' ? undefined : parseFloat(value);
+};
+
+export default defineAction({
+  name: 'Create chat completion',
+  key: 'createChatCompletion',
+  description: 'Creates a chat completion.',
+  arguments: [
+    {
+      label: 'Model',
+      key: 'model',
+      type: 'dropdown',
+      required: true,
+      variables: true,
+      source: {
+        type: 'query',
+        name: 'getDynamicData',
+        arguments: [
+          {
+            name: 'key',
+            value: 'listModels',
+          },
+        ],
+      },
+    },
+    {
+      label: 'Messages',
+      key: 'messages',
+      type: 'dynamic',
+      required: true,
+      description:
+        'The prompt(s) to generate completions for, encoded as a list of dict with role and content.',
+      value: [{ role: 'system', body: '' }],
+      fields: [
+        {
+          label: 'Role',
+          key: 'role',
+          type: 'dropdown',
+          required: true,
+          options: [
+            {
+              label: 'System',
+              value: 'system',
+            },
+            {
+              label: 'Assistant',
+              value: 'assistant',
+            },
+            {
+              label: 'User',
+              value: 'user',
+            },
+          ],
+        },
+        {
+          label: 'Content',
+          key: 'content',
+          type: 'string',
+          required: true,
+          variables: true,
+        },
+      ],
+    },
+    {
+      label: 'Temperature',
+      key: 'temperature',
+      type: 'string',
+      required: false,
+      variables: true,
+      description:
+        'What sampling temperature to use. Higher values mean the model will take more risk. Try 0.9 for more creative applications, and 0 for ones with a well-defined answer. We generally recommend altering this or Top P but not both.',
+    },
+    {
+      label: 'Maximum tokens',
+      key: 'maxTokens',
+      type: 'string',
+      required: false,
+      variables: true,
+      description: `The maximum number of tokens to generate in the completion. The token count of your prompt plus max_tokens cannot exceed the model's context length.`,
+    },
+    {
+      label: 'Stop sequences',
+      key: 'stopSequences',
+      type: 'dynamic',
+      required: false,
+      variables: true,
+      description: 'Stop generation if one of these tokens is detected',
+      fields: [
+        {
+          label: 'Stop sequence',
+          key: 'stopSequence',
+          type: 'string',
+          required: false,
+          variables: true,
+        },
+      ],
+    },
+    {
+      label: 'Top P',
+      key: 'topP',
+      type: 'string',
+      required: false,
+      variables: true,
+      description:
+        'Nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.',
+    },
+    {
+      label: 'Frequency Penalty',
+      key: 'frequencyPenalty',
+      type: 'string',
+      required: false,
+      variables: true,
+      description: `Frequency_penalty penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition.`,
+    },
+    {
+      label: 'Presence Penalty',
+      key: 'presencePenalty',
+      type: 'string',
+      required: false,
+      variables: true,
+      description: `Presence penalty determines how much the model penalizes the repetition of words or phrases. A higher presence penalty encourages the model to use a wider variety of words and phrases, making the output more diverse and creative.`,
+    },
+  ],
+
+  async run($) {
+    const nonEmptyStopSequences = $.step.parameters.stopSequences
+      .filter(({ stopSequence }) => stopSequence)
+      .map(({ stopSequence }) => stopSequence);
+
+    const messages = $.step.parameters.messages.map((message) => ({
+      role: message.role,
+      content: message.content,
+    }));
+
+    const payload = {
+      model: $.step.parameters.model,
+      messages,
+      stop: nonEmptyStopSequences,
+      temperature: castFloatOrUndefined($.step.parameters.temperature),
+      max_tokens: castFloatOrUndefined($.step.parameters.maxTokens),
+      top_p: castFloatOrUndefined($.step.parameters.topP),
+      frequency_penalty: castFloatOrUndefined(
+        $.step.parameters.frequencyPenalty
+      ),
+      presence_penalty: castFloatOrUndefined($.step.parameters.presencePenalty),
+    };
+
+    const { data } = await $.http.post('/v1/chat/completions', payload);
+
+    $.setActionItem({
+      raw: data,
+    });
+  },
+});

packages/backend/src/apps/openrouter/actions/index.js

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+import createChatCompletion from './create-chat-completion/index.js';
+
+export default [createChatCompletion];