import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";
import constants from "../../common/constants.mjs";
import {
parseArray,
parseJson,
} 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() {
if (this.responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) {
return {
schemaName: {
type: "string",
label: "Name",
description: "The name of the schema.",
},
schema: {
type: "string",
label: "JSON Schema",
description: "Define the schema that the model's output must adhere to. Only supported models are `gpt-4o-mini`, `gpt-4o-mini-2024-07-18`, `gpt-4o-2024-08-06` and later.",
},
};
}
return {};
},
async run({ $ }) {
const {
builtInTools,
otherTools,
modelId,
input,
instructions,
previousResponseId,
truncation,
responseFormat,
schemaName,
schema,
} = 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,
name: schemaName,
schema: parseJson(schema),
},
};
} 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;
},
};
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