diff --git a/packages/backend/src/apps/openai/actions/index.ts b/packages/backend/src/apps/openai/actions/index.ts
index 1f89da7a..9c2ddf6c 100644
--- a/packages/backend/src/apps/openai/actions/index.ts
+++ b/packages/backend/src/apps/openai/actions/index.ts
@@ -1,4 +1,5 @@
 import checkModeration from './check-moderation';
 import sendPrompt from './send-prompt';
+import sendChatPrompt from './send-chat-prompt';
 
-export default [checkModeration, sendPrompt];
+export default [checkModeration, sendChatPrompt, sendPrompt];
diff --git a/packages/backend/src/apps/openai/actions/send-chat-prompt/index.ts b/packages/backend/src/apps/openai/actions/send-chat-prompt/index.ts
new file mode 100644
index 00000000..e15ee972
--- /dev/null
+++ b/packages/backend/src/apps/openai/actions/send-chat-prompt/index.ts
@@ -0,0 +1,137 @@
+import defineAction from '../../../../helpers/define-action';
+
+type TMessage = {
+  role: string;
+  content: string;
+}
+
+const castFloatOrUndefined = (value: string | null) => {
+  return value === '' ? undefined : parseFloat(value);
+}
+
+export default defineAction({
+  name: 'Send chat prompt',
+  key: 'sendChatPrompt',
+  description: 'Creates a completion for the provided prompt and parameters.',
+  arguments: [
+    {
+      label: 'Model',
+      key: 'model',
+      type: 'dropdown' as const,
+      required: true,
+      variables: false,
+      source: {
+        type: 'query',
+        name: 'getDynamicData',
+        arguments: [
+          {
+            name: 'key',
+            value: 'listModels',
+          },
+        ],
+      },
+    },
+    {
+      label: 'Messages',
+      key: 'messages',
+      type: 'dynamic' as const,
+      required: false,
+      description: 'Add or remove messages as needed',
+      value: [{ role: 'system', body: '' }],
+      fields: [
+        {
+          label: 'Role',
+          key: 'role',
+          type: 'dropdown' as const,
+          required: true,
+          options: [
+            {
+              label: 'System',
+              value: 'system',
+            },
+            {
+              label: 'User',
+              value: 'user',
+            }
+          ],
+        },
+        {
+          label: 'Content',
+          key: 'content',
+          type: 'string' as const,
+          required: true,
+          variables: true,
+        }
+      ],
+    },
+    {
+      label: 'Temperature',
+      key: 'temperature',
+      type: 'string' as const,
+      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' as const,
+      required: false,
+      variables: true,
+      description: 'The maximum number of tokens to generate in the completion.'
+    },
+    {
+      label: 'Stop Sequence',
+      key: 'stopSequence',
+      type: 'string' as const,
+      required: false,
+      variables: true,
+      description: 'Single stop sequence where the API will stop generating further tokens. The returned text will not contain the stop sequence.'
+    },
+    {
+      label: 'Top P',
+      key: 'topP',
+      type: 'string' as const,
+      required: false,
+      variables: true,
+      description: 'An alternative to sampling with temperature, called 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.'
+    },
+    {
+      label: 'Frequency Penalty',
+      key: 'frequencyPenalty',
+      type: 'string' as const,
+      required: false,
+      variables: true,
+      description: `Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.`
+    },
+    {
+      label: 'presencePenalty',
+      key: 'presencePenalty',
+      type: 'string' as const,
+      required: false,
+      variables: true,
+      description: `Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.`
+    },
+  ],
+
+  async run($) {
+    const payload = {
+      model: $.step.parameters.model as string,
+      temperature: castFloatOrUndefined($.step.parameters.temperature as string),
+      max_tokens: castFloatOrUndefined($.step.parameters.maxTokens as string),
+      stop: ($.step.parameters.stopSequence as string || null),
+      top_p: castFloatOrUndefined($.step.parameters.topP as string),
+      frequency_penalty: castFloatOrUndefined($.step.parameters.frequencyPenalty as string),
+      presence_penalty: castFloatOrUndefined($.step.parameters.presencePenalty as string),
+      messages: ($.step.parameters.messages as TMessage[]).map(message => ({
+        role: message.role,
+        content: message.content,
+      })),
+    };
+    const { data } = await $.http.post('/v1/chat/completions', payload);
+
+    $.setActionItem({
+      raw: data,
+    });
+  },
+});