💻 Add code writer tool

next/src/components/AutonomousAgent.ts

@@ -284,6 +284,9 @@ class AutonomousAgent {
     if (analysis.action == "image") {
       message = `🎨 Generating an image with prompt: "${analysis.arg}"...`;
     }
+    if (analysis.action == "code") {
+      message = `💻 Writing code...`;
+    }
 
     this.sendMessage({
       type: MESSAGE_TYPE_SYSTEM,

next/src/components/ChatWindow.tsx

@@ -105,13 +105,6 @@ const ChatWindow = ({
         onScroll={handleScroll}
         id={messageListId}
       >
-        <div className="mx-4 rounded-full border border-red-500 bg-red-900/30 p-2 px-4 text-red-100">
-          🚨{" "}
-          <a className="link" href="https://status.openai.com/">
-            OpenAI
-          </a>{" "}
-          is currently experiencing issues. As a result, AgentGPT may not be available. 🚨
-        </div>
         {agent !== null && agentMode === PAUSE_MODE && isAgentPaused && (
           <FaPause className="animation-hide absolute left-1/2 top-1/2 text-lg md:text-3xl" />
         )}

next/src/services/agent-service.ts

@@ -3,7 +3,7 @@ import {
   createModel,
   createTasksPrompt,
   executeTaskPrompt,
-  startGoalPrompt
+  startGoalPrompt,
 } from "../utils/prompts";
 import type { ModelSettings } from "../utils/types";
 import { env } from "../env/client.mjs";
@@ -47,7 +47,7 @@ async function analyzeTaskAgent(modelSettings: ModelSettings, goal: string, task
 
 export type Analysis = {
   reasoning: string;
-  action: "reason" | "search" | "wikipedia" | "image";
+  action: "reason" | "search" | "wikipedia" | "image" | "code";
   arg: string;
 };
 

platform/reworkd_platform/web/api/agent/prompts.py

@@ -40,6 +40,25 @@
     input_variables=["goal", "task", "tools_overview"],
 )
 
+code_prompt = PromptTemplate(
+    template="""
+    You are a world-class software engineer and an expert in all programing languages,
+    software systems, and architecture.
+
+    For reference, your high level goal is
+    {goal}
+
+    Answer in the "{language}" language but write code in English.
+    Provide no information about who you are and focus on writing code.
+    Ensure code is bug and error free and explain complex concepts through comments
+    Respond in well-formatted markdown. Ensure code blocks are used for code sections.
+
+    Write code to accomplish the following:
+    {task}
+    """,
+    input_variables=["goal", "language", "task"],
+)
+
 execute_task_prompt = PromptTemplate(
     template="""Answer in the "{language}" language. Given
     the following overall objective `{goal}` and the following sub-task, `{task}`.

platform/reworkd_platform/web/api/agent/tools/code.py

@@ -0,0 +1,22 @@
+from langchain import LLMChain
+
+from reworkd_platform.web.api.agent.model_settings import ModelSettings, create_model
+from reworkd_platform.web.api.agent.prompts import code_prompt
+from reworkd_platform.web.api.agent.tools.tool import Tool
+
+
+class Code(Tool):
+    description = (
+        "Useful for writing, reviewing, and refactoring code. Can also fix bugs, "
+        "and explain programming concepts."
+    )
+    public_description = "Write and review code."
+
+    def __init__(self, model_settings: ModelSettings):
+        super().__init__(model_settings)
+
+    async def call(self, goal: str, task: str, input_str: str) -> str:
+        llm = create_model(self.model_settings)
+        chain = LLMChain(llm=llm, prompt=code_prompt)
+
+        return await chain.arun({"goal": goal, "language": "English", "task": task})

platform/reworkd_platform/web/api/agent/tools/tools.py

@@ -1,5 +1,6 @@
 from typing import Type, List
 
+from reworkd_platform.web.api.agent.tools.code import Code
 from reworkd_platform.web.api.agent.tools.conclude import Conclude
 from reworkd_platform.web.api.agent.tools.image import Image
 from reworkd_platform.web.api.agent.tools.reason import Reason
@@ -20,6 +21,7 @@ def get_external_tools() -> List[Type[Tool]]:
         # Wikipedia, # Requires an async version
         Image,
         Search,
+        Code,
     ]
 
 

platform/reworkd_platform/web/api/agent/views.py

@@ -87,7 +87,17 @@ class CompletionResponse(BaseModel):
 
 @router.post("/execute")
 async def execute_tasks(
-    req_body: AgentRequestBody,
+    req_body: AgentRequestBody = Body(
+        example={
+            "goal": "Perform tasks accurately",
+            "task": "Write code to make a platformer",
+            "analysis": {
+                "reasoning": "I like to write code.",
+                "action": "code",
+                "arg": ""
+            },
+        }
+    ),
 ) -> CompletionResponse:
     try:
         response = await get_agent_service().execute_task_agent(