import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";
import constants from "../../common/constants.mjs";
export default {
...common,
name: "Chat using File Search",
version: "0.0.3",
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).",
},
modelId: {
propDefinition: [
openai,
"chatCompletionModelId",
],
},
vectorStoreId: {
propDefinition: [
openai,
"vectorStoreId",
],
description: "The identifier of a vector store. Currently supports only one vector store at a time",
},
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,
},
includeSearchResults: {
type: "boolean",
label: "Include Search Results",
description: "Include the search results in the response",
default: false,
optional: true,
},
maxNumResults: {
type: "integer",
label: "Max Number of Results",
description: "Customize the number of results you want to retrieve from the vector store",
optional: true,
},
metadataFiltering: {
type: "boolean",
label: "Metadata Filtering",
description: "Configure how the search results are filtered based on file metadata",
optional: true,
reloadProps: 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",
],
},
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 {
modelId,
metadataFiltering,
responseFormat,
} = this;
const props = {};
if (this.openai.isReasoningModel(modelId)) {
props.reasoningEffort = {
type: "string",
label: "Reasoning Effort",
description: "Constrains effort on reasoning for reasoning models",
optional: true,
options: [
"low",
"medium",
"high",
],
};
}
if (metadataFiltering) {
props.filters = {
type: "object",
label: "Filters",
description: "Filter the search results based on file metadata. [See the documentation here](https://platform.openai.com/docs/guides/retrieval#attribute-filtering)",
};
}
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: "file_search",
vector_store_ids: [
this.vectorStoreId,
],
max_num_results: this.maxNumResults,
},
],
};
if (this.includeSearchResults) {
data.include = [
"output[*].file_search_call.search_results",
];
}
if (this.filters) {
data.tools[0].filters = this.filters;
}
if (this.openai.isReasoningModel(this.modelId) && this.reasoningEffort) {
data.reasoning = {
...data.reasoning,
effort: this.reasoningEffort,
};
}
if (this.openai.isReasoningModel(this.modelId) && this.generateSummary) {
data.reasoning = {
...data.reasoning,
generate_summary: this.generateSummary,
};
}
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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