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const AIbitat = require("../../agents/aibitat");
/**
* Execute an LLM instruction flow step
* @param {Object} config Flow step configuration
* @param {{introspect: Function, variables: Object, logger: Function}} context Execution context with introspect function
* @returns {Promise<string>} Processed result
*/
async function executeLLMInstruction(config, context) {
const { instruction, inputVariable, resultVariable } = config;
const { introspect, variables, logger } = context;
introspect(`Processing data with LLM instruction...`);
if (!variables[inputVariable]) {
logger(`Input variable ${inputVariable} not found`);
throw new Error(`Input variable ${inputVariable} not found`);
}
try {
introspect(`Sending request to LLM...`);
// Ensure the input is a string since we are sending it to the LLM direct as a message
let input = variables[inputVariable];
if (typeof input === "object") input = JSON.stringify(input);
if (typeof input !== "string") input = String(input);
const aibitat = new AIbitat();
const provider = aibitat.getProviderForConfig(aibitat.defaultProvider);
const completion = await provider.complete([
{
role: "system",
content: `Follow these instructions carefully: ${instruction}`,
},
{
role: "user",
content: input,
},
]);
introspect(`Successfully received LLM response`);
if (resultVariable) config.resultVariable = resultVariable;
return completion.result;
} catch (error) {
logger(`LLM processing failed: ${error.message}`, error);
throw new Error(`LLM processing failed: ${error.message}`);
}
}
module.exports = executeLLMInstruction;