cr

src/agent/open-canvas/nodes/generatePath.ts

@@ -7,7 +7,9 @@ import { z } from "zod";
 /**
  * Routes to the proper node in the graph based on the user's query.
  */
-export const generatePath = async (state: typeof OpenCanvasGraphAnnotation.State) => {
+export const generatePath = async (
+  state: typeof OpenCanvasGraphAnnotation.State
+) => {
   if (state.highlighted) {
     return {
       next: "updateArtifact",

src/agent/open-canvas/state.ts

@@ -79,4 +79,6 @@ export const OpenCanvasGraphAnnotation = Annotation.Root({
   fixBugs: Annotation<boolean | undefined>,
 });
 
-export type OpenCanvasGraphReturnType = Partial<typeof OpenCanvasGraphAnnotation.State>;
+export type OpenCanvasGraphReturnType = Partial<
+  typeof OpenCanvasGraphAnnotation.State
+>;

src/agent/reflection/index.ts

@@ -1,5 +1,10 @@
 import { ChatAnthropic } from "@langchain/anthropic";
-import { type LangGraphRunnableConfig, type BaseStore, StateGraph, START } from "@langchain/langgraph";
+import {
+  type LangGraphRunnableConfig,
+  type BaseStore,
+  StateGraph,
+  START,
+} from "@langchain/langgraph";
 import { ReflectionGraphAnnotation, ReflectionGraphReturnType } from "./state";
 import { Memory } from "../../types";
 import { REFLECT_SYSTEM_PROMPT } from "./prompts";
@@ -23,45 +28,51 @@ const formatMemories = (memories: Memory): string => {
 - ${memories.content.join("\n- ")}
 </user-facts>`;
 
-
   return styleString + "\n\n" + contentString;
-}
+};
 
 export const reflect = async (
   state: typeof ReflectionGraphAnnotation.State,
-  config: LangGraphRunnableConfig,
+  config: LangGraphRunnableConfig
 ): Promise<ReflectionGraphReturnType> => {
   const store = ensureStoreFromConfig(config);
   const assistantId = config.configurable?.assistant_id;
   if (!assistantId) {
-    throw new Error("`assistant_id` not found in configurable");``
+    throw new Error("`assistant_id` not found in configurable");
   }
   const memoryNamespace = ["memories", assistantId];
   const memoryKey = "reflection";
   const memories = await store.get(memoryNamespace, memoryKey);
-
-  const memoriesAsString = memories?.value ? formatMemories(memories.value as Memory) : "No memories found.";
+
+  const memoriesAsString = memories?.value
+    ? formatMemories(memories.value as Memory)
+    : "No memories found.";
 
   const generateReflectionsSchema = z.object({
-    styleRules: z.array(z.string()).describe("The complete new list of style rules and guidelines."),
-    content: z.array(z.string()).describe("The complete new list of memories/facts about the user.")
+    styleRules: z
+      .array(z.string())
+      .describe("The complete new list of style rules and guidelines."),
+    content: z
+      .array(z.string())
+      .describe("The complete new list of memories/facts about the user."),
   });
 
   const model = new ChatAnthropic({
     model: "claude-3-5-sonnet-20240620",
     temperature: 0,
   }).withStructuredOutput(generateReflectionsSchema, {
     name: "generate_reflections",
-  })
+  });
 
-  const formattedSystemPrompt = REFLECT_SYSTEM_PROMPT
-    .replace("{artifact}", state.artifact?.content ?? "No artifact found.")
-    .replace("{reflections}", memoriesAsString);
+  const formattedSystemPrompt = REFLECT_SYSTEM_PROMPT.replace(
+    "{artifact}",
+    state.artifact?.content ?? "No artifact found."
+  ).replace("{reflections}", memoriesAsString);
 
   const result = await model.invoke([
     {
       role: "system",
-      content: formattedSystemPrompt
+      content: formattedSystemPrompt,
     },
     ...state.messages,
   ]);
@@ -74,10 +85,10 @@ export const reflect = async (
   await store.put(memoryNamespace, memoryKey, newMemories);
 
   return {};
-}
+};
 
 const builder = new StateGraph(ReflectionGraphAnnotation)
   .addNode("reflect", reflect)
   .addEdge(START, "reflect");
 
-export const graph = builder.compile();
+export const graph = builder.compile();

src/agent/reflection/prompts.ts

@@ -27,4 +27,4 @@ Your job is to take all of the context and existing reflections and re-generate
 - Your reflections should be very descriptive and detailed, ensuring they are clear and will not be misinterpreted.
 </system-guidelines>
 
-Finally, use the 'generate_reflections' tool to generate the new, full list of reflections.`
+Finally, use the 'generate_reflections' tool to generate the new, full list of reflections.`;

src/agent/reflection/state.ts

@@ -9,7 +9,9 @@ export const ReflectionGraphAnnotation = Annotation.Root({
   /**
    * The artifact to reflect on.
    */
-  artifact: Annotation<Artifact | undefined>
+  artifact: Annotation<Artifact | undefined>,
 });
 
-export type ReflectionGraphReturnType = Partial<typeof ReflectionGraphAnnotation.State>;
+export type ReflectionGraphReturnType = Partial<
+  typeof ReflectionGraphAnnotation.State
+>;

src/components/artifacts/actions_toolbar/text/index.tsx

@@ -1,10 +1,5 @@
 import { useEffect, useRef, useState } from "react";
-import {
-  Languages,
-  BookOpen,
-  SlidersVertical,
-  SmilePlus,
-} from "lucide-react";
+import { Languages, BookOpen, SlidersVertical, SmilePlus } from "lucide-react";
 import { cn } from "@/lib/utils";
 import { ReadingLevelOptions } from "./ReadingLevelOptions";
 import { TranslateOptions } from "./TranslateOptions";

src/types.ts

@@ -67,7 +67,6 @@ export type ReadingLevelOptions =
   | "college"
   | "phd";
 
-
 export interface Memory {
   /**
    * Style rules to follow for generating content.
@@ -77,4 +76,4 @@ export interface Memory {
    * Key content to remember about the user when generating content.
    */
   content: string[];
-}
+}