feat: adjust the way of returning data to LLM (#69)

1 files changed, 19 insertions, 7 deletions

diff --git a/scripts/run-agent.js b/scripts/run-agent.js
index 69dd119..36fc66b 100755
--- a/scripts/run-agent.js
+++ b/scripts/run-agent.js
@@ -49,11 +49,19 @@ function parseRawData(data) {
 }
 
 function setupEnv(rootDir, agentName) {
-  process.env["LLM_ROOT_DIR"] = rootDir;
   loadEnv(path.resolve(rootDir, ".env"));
+  process.env["LLM_ROOT_DIR"] = rootDir;
   process.env["LLM_AGENT_NAME"] = agentName;
-  process.env["LLM_AGENT_ROOT_DIR"] = path.resolve(rootDir, "agents", agentName);
-  process.env["LLM_AGENT_CACHE_DIR"] = path.resolve(rootDir, "cache", agentName);
+  process.env["LLM_AGENT_ROOT_DIR"] = path.resolve(
+    rootDir,
+    "agents",
+    agentName,
+  );
+  process.env["LLM_AGENT_CACHE_DIR"] = path.resolve(
+    rootDir,
+    "cache",
+    agentName,
+  );
 }
 
 function loadEnv(filePath) {
@@ -84,22 +92,26 @@ async function run(agentPath, agentFunc, agentData) {
     throw new Error(`Not module function '${agentFunc}' at '${agentPath}'`);
   }
   const value = await mod[agentFunc](agentData);
-  dumpValue(value);
+  returnToLLM(value);
 }
 
-function dumpValue(value) {
+function returnToLLM(value) {
   if (value === null || value === undefined) {
     return;
   }
+  let writer = process.stdout;
+  if (process.env["LLM_OUTPUT"]) {
+    writer = fs.createWriteStream(process.env["LLM_OUTPUT"]);
+  }
   const type = typeof value;
   if (type === "string" || type === "number" || type === "boolean") {
-    console.log(value);
+    writer.write(value);
   } else if (type === "object") {
     const proto = Object.prototype.toString.call(value);
     if (proto === "[object Object]" || proto === "[object Array]") {
       const valueStr = JSON.stringify(value, null, 2);
       require("assert").deepStrictEqual(value, JSON.parse(valueStr));
-      console.log(valueStr);
+      writer.write(value);
     }
   }
 }