import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";
import constants from "../../common/constants.mjs";
import { WEB_SEARCH_CHAT_MODELS } from "../../common/models.mjs";
export default {
...common,
name: "Chat using Web Search",
version: "0.0.8",
annotations: {
destructiveHint: false,
openWorldHint: true,
readOnlyHint: true,
},
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",
props: {
openai,
modelId: {
type: "string",
label: "Model",
description: "Model used to generate the response",
default: WEB_SEARCH_CHAT_MODELS[0],
options: WEB_SEARCH_CHAT_MODELS,
},
input: {
type: "string",
label: "Chat Input",
description: "Text inputs to the model used to generate a response",
},
instructions: {
type: "string",
label: "Instructions",
description: "Inserts a system (or developer) message as the first item in the model's context",
optional: true,
},
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's larger than the context window size",
optional: true,
default: "auto",
options: [
"auto",
"disabled",
],
},
userLocation: {
type: "string[]",
label: "User Location",
description: "Additional configuration for approximate location parameters for the search",
optional: true,
options: [
"City",
"Region",
"Country",
"Timezone",
],
},
searchContextSize: {
type: "string",
label: "Search Context Size",
description: "Determines the amount of context to use during the web search",
optional: true,
default: "medium",
options: [
"low",
"medium",
"high",
],
},
responseFormat: {
type: "string",
label: "Response Format",
description: "- **Text**: Returns unstructured text output.\n- **JSON Schema**: Enables you to define a [specific structure for the model's output using a JSON schema](https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses).",
options: [
"text",
"json_schema",
],
default: "text",
optional: true,
reloadProps: true,
},
skipThisStep: {
type: "boolean",
label: "Skip This Step",
description: "Pass in a boolean custom expression to skip this step's execution at runtime",
optional: true,
default: false,
},
},
additionalProps() {
const {
responseFormat,
userLocation,
} = this;
const props = {};
if (userLocation?.includes("City")) {
props.city = {
type: "string",
label: "City",
description: "Free text input for the city of the user, e.g. `San Francisco`",
};
}
if (userLocation?.includes("Region")) {
props.region = {
type: "string",
label: "Region",
description: "Free text input for the region of the user, e.g. `California`",
};
}
if (userLocation?.includes("Country")) {
props.country = {
type: "string",
label: "Country",
description: "The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`",
};
}
if (userLocation?.includes("Timezone")) {
props.timezone = {
type: "string",
label: "Timezone",
description: "The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the user, e.g. `America/Los_Angeles`",
};
}
if (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. [Generate one here](https://platform.openai.com/docs/guides/structured-outputs/supported-schemas).",
};
}
return props;
},
methods: {
...common.methods,
},
async run({ $ }) {
if (this.skipThisStep) {
$.export("$summary", "Step execution skipped");
return;
}
const data = {
model: this.modelId,
input: this.input,
instructions: this.instructions,
previous_response_id: this.previousResponseId,
truncation: this.truncation,
tools: [
{
type: "web_search_preview",
user_location: {
type: "approximate",
city: this.city,
country: this.country,
region: this.region,
timezone: this.timezone,
},
search_context_size: this.searchContextSize,
},
],
};
if (this.responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value) {
try {
data.text = {
format: {
type: this.responseFormat,
...JSON.parse(this.jsonSchema),
},
};
} catch (error) {
throw new Error("Invalid JSON format in the provided JSON Schema");
}
}
const response = await this.openai.responses({
$,
data,
});
if (response) {
$.export("$summary", `Successfully sent chat with id ${response.id}`);
$.export("chat_responses", response.output);
}
return response;
},
};
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