import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";
import constants from "../../common/constants.mjs";
export default {
...common,
name: "Chat",
version: "0.2.0",
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,
modelId: {
propDefinition: [
openai,
"chatCompletionModelId",
],
},
userMessage: {
label: "User Message",
type: "string",
description: "The user messages provide instructions to the assistant. They can be generated by the end users of an application, or set by a developer as an instruction.",
},
...common.props,
systemInstructions: {
label: "System Instructions",
type: "string",
description: "The system message helps set the behavior of the assistant. For example: \"You are a helpful assistant.\" [See these docs](https://platform.openai.com/docs/guides/chat/instructing-chat-models) for tips on writing good instructions.",
optional: true,
},
messages: {
label: "Prior Message History",
type: "string[]",
description: "_Advanced_. Because [the models have no memory of past chat requests](https://platform.openai.com/docs/guides/chat/introduction), all relevant information must be supplied via the conversation. You can provide [an array of messages](https://platform.openai.com/docs/guides/chat/introduction) from prior conversations here. If this param is set, the action ignores the values passed to **System Instructions** and **Assistant Response**, appends the new **User Message** to the end of this array, and sends it to the API.",
optional: true,
},
images: {
label: "Images",
type: "string[]",
description: "Provide one or more images to [OpenAI's vision model](https://platform.openai.com/docs/guides/vision). Accepts URLs or base64 encoded strings. Compatible with the `gpt4-vision-preview model`",
optional: true,
},
responseFormat: {
type: "string",
label: "Response Format",
description: "Specify the format that the model must output. \n- **Text** (default): Returns unstructured text output.\n- **JSON Object**: Ensures the model's output is a valid JSON object.\n- **JSON Schema** (GPT-4o and later): Enables you to define a specific structure for the model's output using a JSON schema. Supported with models `gpt-4o-2024-08-06` and later, and `gpt-4o-mini-2024-07-18` and later.",
options: Object.values(constants.CHAT_RESPONSE_FORMAT),
default: constants.CHAT_RESPONSE_FORMAT.TEXT.value,
optional: true,
reloadProps: true,
},
},
additionalProps() {
const { responseFormat } = this;
if (responseFormat !== constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) {
return {};
}
return {
jsonSchema: {
type: "string",
label: "JSON Schema",
description: "Define the schema that the model's output must adhere to. [See the documentation here](https://platform.openai.com/docs/guides/structured-outputs/supported-schemas).",
},
};
},
async run({ $ }) {
const args = this._getChatArgs();
const response = await this.openai.createChatCompletion({
$,
data: args,
});
if (response) {
$.export("$summary", `Successfully sent chat with id ${response.id}`);
}
const { messages } = args;
return {
original_messages: messages,
original_messages_with_assistant_response: messages.concat(response.choices[0]?.message),
...response,
};
},
};