[ACTION] OpenAI Responses API

components/openai/actions/chat-using-file-search/chat-using-file-search.mjs

@@ -5,13 +5,13 @@
 export default {
   ...common,
   name: "Chat using File Search",
-  version: "0.0.5",
+  version: "0.0.6",
   key: "openai-chat-using-file-search",
   description: "Chat with your files knowledge base (vector stores). [See the documentation](https://platform.openai.com/docs/guides/tools-file-search)",
   type: "action",
   props: {
     openai,
     alert: {
       type: "alert",
       alertType: "info",
       content: "To use this action, you need to have set up a knowledge base in a vector store and uploaded files to it. [More infomation here](https://platform.openai.com/docs/guides/tools-file-search?lang=javascript#overview).",

components/openai/actions/chat-using-functions/chat-using-functions.mjs

@@ -5,13 +5,13 @@
 export default {
   ...common,
   name: "Chat using Functions",
-  version: "0.0.6",
+  version: "0.0.7",
   key: "openai-chat-using-functions",
   description: "Chat with your models and allow them to invoke functions. Optionally, you can build and invoke workflows as functions. [See the documentation](https://platform.openai.com/docs/guides/function-calling)",
   type: "action",
   props: {
     openai,
     alert: {
       type: "alert",
       alertType: "info",
       content: "Provide function names and parameters, and the model will either answer the question directly or decide to invoke one of the functions, returning a function call that adheres to your specified schema. Add a custom code step that includes all available functions which can be invoked based on the model's response - [you can even build an entire workflow as a function](https://pipedream.com/docs/workflows/building-workflows/code/nodejs/#invoke-another-workflow)! Once the appropriate function or workflow is executed, continue the overall execution or pass the result back to the model for further analysis. For more details, [see this guide](https://platform.openai.com/docs/guides/function-calling?api-mode=responses#overview) and this [walkthrough](https://pipedream.com/blog/introducing-enhanced-openai-chat-actions-for-pipedream/#using-pipedream-workflows-as-functions).",

components/openai/actions/chat-using-web-search/chat-using-web-search.mjs

@@ -5,7 +5,7 @@ import constants from "../../common/constants.mjs";
 export default {
   ...common,
   name: "Chat using Web Search",
-  version: "0.0.5",
+  version: "0.0.6",
   key: "openai-chat-using-web-search",
   description: "Chat using the web search tool. [See the documentation](https://platform.openai.com/docs/guides/tools-web-search)",
   type: "action",

components/openai/actions/chat-with-responses-api/chat-with-responses-api.mjs

@@ -0,0 +1,161 @@
+import openai from "../../openai.app.mjs";
+import common from "../common/common.mjs";
+import constants from "../../common/constants.mjs";
+import { parseArray } from "../../common/helpers.mjs";
+
+export default {
+  ...common,
+  key: "openai-chat-with-responses-api",
+  name: "Chat With Responses API",
+  version: "0.0.1",
+  description: "Send a chat via the Responses API, mixing built-in tools and MCP server tools. [See the documentation](https://platform.openai.com/docs/guides/tools?api-mode=responses).",
+  type: "action",
+  props: {
+    openai,
+    modelId: {
+      description: "Model used to generate the response",
+      propDefinition: [
+        openai,
+        "chatCompletionModelId",
+      ],
+    },
+    input: {
+      description: "Text input to the model used to generate a response",
+      propDefinition: [
+        openai,
+        "input",
+      ],
+    },
+    instructions: {
+      description: "Inserts a system (or developer) message as the first item in the model's context",
+      propDefinition: [
+        openai,
+        "instructions",
+      ],
+    },
+    previousResponseId: {
+      type: "string",
+      label: "Previous Response ID",
+      description: "The unique ID of the previous response to the model. Use this to create multi-turn conversations",
+      optional: true,
+    },
+    truncation: {
+      type: "string",
+      label: "Truncation",
+      description:
+        "Specifies the truncation mode for the response if it exceeds the context window",
+      default: "auto",
+      options: [
+        "auto",
+        "disabled",
+      ],
+      optional: true,
+    },
+    responseFormat: {
+      type: "string",
+      label: "Response Format",
+      description: "- `text`: Returns unstructured text output.\n- `json_schema`: Enforces a specific structure using a JSON schema.",
+      options: [
+        "text",
+        "json_schema",
+      ],
+      default: "text",
+      optional: true,
+      reloadProps: true,
+    },
+    builtInTools: {
+      type: "string[]",
+      label: "Built-In Tools",
+      description: "Which of OpenAI's first-party tools to enable (web search, file search, code interpreter).",
+      options: [
+        {
+          label: "Web Search",
+          value: "web_search_preview",
+        },
+        {
+          label: "File Search",
+          value: "file_search",
+        },
+        {
+          label: "Code Interpreter",
+          value: "code_interpreter",
+        },
+      ],
+      default: [],
+    },
+    otherTools: {
+      type: "string[]",
+      label: "Other Tools",
+      description: "Other tools to include in the chat. [See the documentation](https://platform.openai.com/docs/guides/tools-remote-mcp). Example: `{ type: \"mcp\", server_label: \"gmail\", server_url: \"https://remote.mcp.pipedream.net\", headers: {}, require_approval: \"never\" }`",
+      optional: true,
+    },
+  },
+  additionalProps() {
+    const props = {};
+    if (this.responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) {
+      props.jsonSchema = {
+        type: "string",
+        label: "JSON Schema",
+        description:
+          "Define the schema that the model's output must adhere to.",
+      };
+    }
+    return props;
+  },
+  async run({ $ }) {
+    const {
+      builtInTools,
+      otherTools,
+      modelId,
+      input,
+      instructions,
+      previousResponseId,
+      truncation,
+      responseFormat,
+      jsonSchema,
+    } = this;
+
+    const tools = builtInTools.map((tool) => ({
+      type: tool,
+    }));
+
+    if (otherTools) {
+      tools.push(...parseArray(otherTools));
+    }
+
+    const data = {
+      model: modelId,
+      input,
+      instructions,
+      previous_response_id: previousResponseId,
+      truncation,
+      tools,
+    };
+
+    if (responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) {
+      try {
+        data.text = {
+          format: {
+            type: responseFormat,
+            ...JSON.parse(jsonSchema),
+          },
+        };
+      } catch {
+        throw new Error("Invalid JSON format in the provided JSON Schema");
+      }
+    }
+
+    const response = await this.openai.responses({
+      $,
+      data,
+      debug: true,
+    });
+
+    if (response) {
+      $.export("$summary", `Successfully sent chat to OpenAI Responses API with ID \`${response.id}\`.`);
+      $.export("chat_responses", response.output);
+    }
+
+    return response;
+  },
+};

components/openai/actions/chat/chat.mjs

@@ -5,13 +5,13 @@
 export default {
   ...common,
   name: "Chat",
-  version: "0.3.1",
+  version: "0.3.2",
   key: "openai-chat",
   description: "The Chat API, using the `gpt-3.5-turbo` or `gpt-4` model. [See the documentation](https://platform.openai.com/docs/api-reference/chat)",
   type: "action",
   props: {
     openai,
     alert: {
       type: "alert",
       alertType: "info",
       content: "Looking to chat with your tools? Check out our individual actions: [Chat using Web Search](https://pipedream.com/apps/openai/actions/chat-using-web-search), [Chat using File Search](https://pipedream.com/apps/openai/actions/chat-using-file-search), and [Chat using Functions](https://pipedream.com/apps/openai/actions/chat-using-functions).",

components/openai/actions/classify-items-into-categories/classify-items-into-categories.mjs

@@ -3,13 +3,13 @@
 export default {
   ...common,
   name: "Classify Items into Categories",
-  version: "0.1.7",
+  version: "0.1.8",
   key: "openai-classify-items-into-categories",
   description: "Classify items into specific categories using the Chat API. [See the documentation](https://platform.openai.com/docs/api-reference/chat)",
   type: "action",
   props: {
     ...common.props,
     info: {
       type: "alert",
       alertType: "info",
       content: `Provide a list of **items** and a list of **categories**. The output will contain an array of objects, each with properties \`item\` and \`category\`

components/openai/actions/create-embeddings/create-embeddings.mjs

@@ -4,7 +4,7 @@ import common from "../common/common.mjs";
 
 export default {
   name: "Create Embeddings",
-  version: "0.0.19",
+  version: "0.0.20",
   key: "openai-create-embeddings",
   description: "Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. [See the documentation](https://platform.openai.com/docs/api-reference/embeddings)",
   type: "action",

components/openai/actions/send-prompt/send-prompt.mjs

@@ -4,13 +4,13 @@
 export default {
   ...common,
   name: "Create Completion (Send Prompt)",
-  version: "0.1.18",
+  version: "0.1.19",
   key: "openai-send-prompt",
   description: "OpenAI recommends using the **Chat** action for the latest `gpt-3.5-turbo` API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older `/completions` API. [See the documentation](https://beta.openai.com/docs/api-reference/completions/create)",
   type: "action",
   props: {
     openai,
     alert: {
       type: "alert",
       alertType: "warning",
       content: "We recommend using the Pipedream **Chat** action instead of this one. It supports the latest `gpt-3.5-turbo` API, which is faster and 10x cheaper. This action, **Create Completion (Send Prompt)**, creates a completion for the provided prompt and parameters using the older `/completions` API.",

components/openai/actions/summarize/summarize.mjs

@@ -4,7 +4,7 @@ import constants from "../../common/constants.mjs";
 export default {
   ...common,
   name: "Summarize Text",
-  version: "0.1.7",
+  version: "0.1.8",
   key: "openai-summarize",
   description: "Summarizes text using the Chat API. [See the documentation](https://platform.openai.com/docs/api-reference/chat)",
   type: "action",

components/openai/actions/translate-text/translate-text.mjs

@@ -9,7 +9,7 @@ const langOptions = lang.LANGUAGES.map((l) => ({
 export default {
   ...common,
   name: "Translate Text (Whisper)",
-  version: "0.1.7",
+  version: "0.1.8",
   key: "openai-translate-text",
   description: "Translate text from one language to another using the Chat API. [See the documentation](https://platform.openai.com/docs/api-reference/chat)",
   type: "action",

components/openai/common/helpers.mjs

@@ -37,3 +37,50 @@ export function parse(value) {
     throw new ConfigurationError("Make sure the schema contains a valid JSON object.");
   }
 }
+
+const parseJson = (input, maxDepth = 100) => {
+  const seen = new WeakSet();
+  const parse = (value) => {
+    if (maxDepth <= 0) {
+      return value;
+    }
+    if (typeof(value) === "string") {
+      // Only parse if the string looks like a JSON object or array
+      const trimmed = value.trim();
+      if (
+        (trimmed.startsWith("{") && trimmed.endsWith("}")) ||
+        (trimmed.startsWith("[") && trimmed.endsWith("]"))
+      ) {
+        try {
+          return parseJson(JSON.parse(value), maxDepth - 1);
+        } catch (e) {
+          return value;
+        }
+      }
+      return value;
+    } else if (typeof(value) === "object" && value !== null) {
+      if (seen.has(value)) {
+        return value;
+      }
+      seen.add(value);
+      return Object.entries(value)
+        .reduce((acc, [
+          key,
+          val,
+        ]) => Object.assign(acc, {
+          [key]: parse(val),
+        }), {});
+    }
+    return value;
+  };
+
+  return parse(input);
+};
+
+export function parseArray (input, maxDepth = 100) {
+  if (!Array.isArray(input)) {
+    return input;
+  }
+
+  return input.map((item) => parseJson(item, maxDepth));
+}

components/openai/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@pipedream/openai",
-  "version": "1.0.2",
+  "version": "1.1.0",
   "description": "Pipedream OpenAI Components",
   "main": "openai.app.mjs",
   "keywords": [
@@ -15,8 +15,8 @@
   },
   "dependencies": {
     "@pipedream/platform": "^3.1.0",
+    "@pipedream/sdk": "^1.7.0",
     "@pipedream/types": "^0.1.4",
-    "axios": "^1.6.2",
     "bottleneck": "^2.19.5",
     "form-data": "^4.0.0",
     "got": "^12.6.0",