1.0.6 - function calling types, use .hbs for prompts

package.json

@@ -1,6 +1,6 @@
 {
   "name": "agent-adapters",
-  "version": "1.0.5",
+  "version": "1.0.6",
   "description": "Configurable AI Agents",
   "license": "MPL-2.0",
   "main": "dist/index.js",

src/agents/Agent.ts

@@ -263,7 +263,7 @@ export default abstract class Agent {
   }
 
   protected getPromptFromFile(promptName: string, context: AgentContext): Promise<string | undefined> {
-    return getPromptFromFile(path.join(this.promptsDir, promptName + '.txt'), context);
+    return getPromptFromFile(path.join(this.promptsDir, promptName + '.hbs'), context);
   }
 
   /**

src/llm/message.ts

@@ -6,11 +6,23 @@ export type LlmMessage = {
   content: string;
 };
 
-export type LlmRequestMessage = {
-  role: 'system' | 'user' | 'assistant';
-  content: string;
-  name?: string;
-};
+export type LlmRequestMessage =
+  | {
+      role: 'system' | 'user' | 'assistant';
+      content: string;
+      name?: string;
+    }
+  | {
+      role: 'assistant';
+      content?: string;
+      name?: string;
+      tool_calls: ChatCompletionMessageToolCall[];
+    }
+  | {
+      role: 'tool';
+      tool_call_id: string;
+      content: string;
+    };
 
 export type LlmResponseMessage =
   | { role: 'tool'; tools: ChatCompletionMessageToolCall[] }