import _302_ai from "../../_302_ai.app.mjs";
import constants from "../common/constants.mjs";
export default {
name: "Chat using Functions",
version: "0.0.1",
annotations: {
destructiveHint: false,
openWorldHint: true,
readOnlyHint: false,
},
key: "_302_ai-chat-using-functions",
description: "Enable your 302.AI model to invoke user-defined functions. Useful for conditional logic, workflow orchestration, and tool invocation within conversations. [See documentation](https://doc.302.ai/211560247e0)",
type: "action",
props: {
_302_ai,
modelId: {
propDefinition: [
_302_ai,
"chatCompletionModelId",
],
},
input: {
type: "string",
label: "Chat Input",
description: "Text input to the model used to generate a response",
},
functions: {
type: "string",
label: "Functions",
description: "A valid JSON array of tools/functions using the OpenAI function schema definition. Each tool must have a `type` property set to \"function\" and a `function` object with `name`, `description`, and `parameters`.",
default:
`[
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"]
}
},
"required": ["location"]
}
}
}
]`,
},
instructions: {
type: "string",
label: "Instructions",
description: "System instructions for the model",
optional: true,
},
toolChoice: {
type: "string",
label: "Tool Choice",
description: "- **auto**: The model decides whether and how many functions to call.\n- **required**: The model must call one or more functions.\n- **function_name**: Enter a custom function name to force the model to call this specific function.",
optional: true,
default: "auto",
options: [
"auto",
"required",
],
},
parallelToolCalls: {
type: "string",
label: "Parallel Function Calling",
description: "Allow or prevent the model to call multiple functions in a single turn",
optional: true,
default: "1",
options: [
{
label: "Enabled",
value: "1",
},
{
label: "Disabled",
value: "0",
},
],
},
maxTokens: {
label: "Max Tokens",
description: "The maximum number of tokens to generate in the completion.",
type: "string",
optional: true,
},
temperature: {
label: "Temperature",
description: "What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.",
type: "string",
optional: true,
},
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.",
options: [
constants.CHAT_RESPONSE_FORMAT.TEXT.value,
constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value,
],
default: constants.CHAT_RESPONSE_FORMAT.TEXT.value,
optional: true,
reloadProps: 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 messages = [];
if (this.instructions) {
messages.push({
role: "system",
content: this.instructions,
});
}
messages.push({
role: "user",
content: this.input,
});
const data = {
model: this.modelId,
messages,
parallel_tool_calls: parseInt(this.parallelToolCalls) === 1,
tools: [],
};
if (this.maxTokens) {
data.max_tokens = parseInt(this.maxTokens);
}
if (this.temperature) {
data.temperature = parseFloat(this.temperature);
}
let functions = this.functions;
if (typeof functions === "string") {
try {
functions = JSON.parse(functions);
} catch (error) {
throw new Error("Invalid JSON format in the provided Functions Schema");
}
}
if (Array.isArray(functions)) {
data.tools.push(...functions);
} else {
data.tools.push(functions);
}
if (this.toolChoice) {
if (this.toolChoice === "auto" || this.toolChoice === "required") {
data.tool_choice = this.toolChoice;
} else {
data.tool_choice = {
type: "function",
name: this.toolChoice,
};
}
}
if (this.responseFormat === constants.CHAT_RESPONSE_FORMAT.JSON_SCHEMA.value
&& this.jsonSchema) {
try {
data.response_format = {
type: this.responseFormat,
json_schema: typeof this.jsonSchema === "string"
? JSON.parse(this.jsonSchema)
: this.jsonSchema,
};
} catch (error) {
throw new Error("Invalid JSON format in the provided JSON Schema");
}
}
const response = await this._302_ai.createChatCompletion({
$,
data,
});
if (response) {
$.export("$summary", `Successfully sent chat with id ${response.id}`);
}
return response;
},
};
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