prettier

MarcoMandar · Nov 7, 2024 · 84f2da0 · 84f2da0
1 parent ad34b78
commit 84f2da0
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Showing 59 changed files with 1,776 additions and 1,238 deletions.
diff --git a/core/src/actions/imageGeneration.ts b/core/src/actions/imageGeneration.ts
@@ -14,7 +14,7 @@ export const imageGeneration: Action = {
     description: "Generate an image to go along with the message.",
     validate: async (runtime: IAgentRuntime, message: Memory) => {
         // TODO: Abstract this to an image provider thing
-        
+
         const anthropicApiKeyOk = !!runtime.getSetting("ANTHROPIC_API_KEY");
         const togetherApiKeyOk = !!runtime.getSetting("TOGETHER_API_KEY");
 

diff --git a/core/src/adapters/sqlite.ts b/core/src/adapters/sqlite.ts
@@ -152,7 +152,6 @@ export class SqliteDatabaseAdapter extends DatabaseAdapter {
         tableName: string;
         agentId?: UUID;
     }): Promise<Memory[]> {
-
         if (!params.tableName) {
             // default to messages
             params.tableName = "messages";

diff --git a/core/src/clients/discord/actions/summarize_conversation.ts b/core/src/clients/discord/actions/summarize_conversation.ts
@@ -288,7 +288,7 @@ const summarizeAction = {
                     "gpt-4o-mini"
                 ),
             });
-            
+
             const summary = await generateText({
                 runtime,
                 context,

diff --git a/core/src/clients/twitter/interactions.ts b/core/src/clients/twitter/interactions.ts
@@ -311,38 +311,36 @@ export class TwitterInteractionClient extends ClientBase {
 
         if (response.text) {
             try {
-                    const callback: HandlerCallback = async (
-                        response: Content
-                    ) => {
-                        const memories = await sendTweetChunks(
-                            this,
-                            response,
-                            message.roomId,
-                            this.runtime.getSetting("TWITTER_USERNAME"),
-                            tweet.id
-                        );
-                        return memories;
-                    };
+                const callback: HandlerCallback = async (response: Content) => {
+                    const memories = await sendTweetChunks(
+                        this,
+                        response,
+                        message.roomId,
+                        this.runtime.getSetting("TWITTER_USERNAME"),
+                        tweet.id
+                    );
+                    return memories;
+                };
 
-                    const responseMessages = await callback(response);
+                const responseMessages = await callback(response);
 
-                    state = (await this.runtime.updateRecentMessageState(
-                        state
-                    )) as State;
+                state = (await this.runtime.updateRecentMessageState(
+                    state
+                )) as State;
 
-                    for (const responseMessage of responseMessages) {
-                        await this.runtime.messageManager.createMemory(
-                            responseMessage
-                        );
-                    }
+                for (const responseMessage of responseMessages) {
+                    await this.runtime.messageManager.createMemory(
+                        responseMessage
+                    );
+                }
 
-                    await this.runtime.evaluate(message, state);
+                await this.runtime.evaluate(message, state);
 
-                    await this.runtime.processActions(
-                        message,
-                        responseMessages,
-                        state
-                    );
+                await this.runtime.processActions(
+                    message,
+                    responseMessages,
+                    state
+                );
                 const responseInfo = `Context:\n\n${context}\n\nSelected Post: ${tweet.id} - ${tweet.username}: ${tweet.text}\nAgent's Output:\n${response.text}`;
                 // f tweets folder dont exist, create
                 if (!fs.existsSync("tweets")) {

diff --git a/core/src/clients/twitter/post.ts b/core/src/clients/twitter/post.ts
@@ -113,7 +113,7 @@ export class TwitterPostClient extends ClientBase {
             let content = slice.slice(0, contentLength);
             // if its bigger than 280, delete the last line
             if (content.length > 280) {
-              content = content.slice(0, content.lastIndexOf("\n"));
+                content = content.slice(0, content.lastIndexOf("\n"));
             }
             if (content.length > contentLength) {
                 // slice at the last period
@@ -130,8 +130,7 @@ export class TwitterPostClient extends ClientBase {
                 );
                 // read the body of the response
                 const body = await result.json();
-                const tweetResult =
-                    body.data.create_tweet.tweet_results.result;
+                const tweetResult = body.data.create_tweet.tweet_results.result;
 
                 const tweet = {
                     id: tweetResult.rest_id,

diff --git a/core/src/core/defaultCharacter.ts b/core/src/core/defaultCharacter.ts
@@ -398,4 +398,4 @@ export const defaultCharacter: Character = {
             "dive deeper into stuff when its interesting",
         ],
     },
-};
+};
diff --git a/core/src/core/generation.ts b/core/src/core/generation.ts
@@ -44,7 +44,8 @@ export async function generateText({
     }
 
     const provider = runtime.modelProvider;
-    const endpoint = runtime.character.modelEndpointOverride || models[provider].endpoint;
+    const endpoint =
+        runtime.character.modelEndpointOverride || models[provider].endpoint;
     const model = models[provider].model[modelClass];
     const temperature = models[provider].settings.temperature;
     const frequency_penalty = models[provider].settings.frequency_penalty;
@@ -161,9 +162,7 @@ export async function generateText({
             }
 
             case ModelProvider.LLAMALOCAL: {
-                elizaLogger.log(
-                    "Using local Llama model for text completion."
-                );
+                elizaLogger.log("Using local Llama model for text completion.");
                 response = await runtime.llamaService.queueTextCompletion(
                     context,
                     temperature,
@@ -258,7 +257,10 @@ export async function generateShouldRespond({
     let retryDelay = 1000;
     while (true) {
         try {
-            elizaLogger.log("Attempting to generate text with context:", context);
+            elizaLogger.log(
+                "Attempting to generate text with context:",
+                context
+            );
             const response = await generateText({
                 runtime,
                 context,

diff --git a/core/src/core/runtime.ts b/core/src/core/runtime.ts
@@ -263,7 +263,6 @@ export class AgentRuntime implements IAgentRuntime {
         this.token = opts.token;
 
         (opts.character.plugins ?? []).forEach((plugin) => {
-
             plugin.actions.forEach((action) => {
                 this.registerAction(action);
             });
@@ -482,14 +481,19 @@ export class AgentRuntime implements IAgentRuntime {
                 );
                 if (simileAction) {
                     action = _action;
-                    elizaLogger.success(`Action found in similes: ${action.name}`);
+                    elizaLogger.success(
+                        `Action found in similes: ${action.name}`
+                    );
                     break;
                 }
             }
         }
 
         if (!action) {
-            elizaLogger.error("No action found for", responses[0].content.action);
+            elizaLogger.error(
+                "No action found for",
+                responses[0].content.action
+            );
             return;
         }
 

diff --git a/core/src/services/llama.ts b/core/src/services/llama.ts
@@ -74,7 +74,6 @@ class LlamaService {
             "https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Hermes-3-Llama-3.1-8B.Q8_0.gguf?download=true";
         const modelName = "model.gguf";
         this.modelPath = path.join(__dirname, modelName);
-
     }
     private async ensureInitialized() {
         if (!this.modelInitialized) {
@@ -116,7 +115,7 @@ class LlamaService {
             this.model = await this.llama.loadModel({
                 modelPath: this.modelPath,
             });
-            
+
             this.ctx = await this.model.createContext({ contextSize: 8192 });
             this.sequence = this.ctx.getSequence();
 
@@ -391,4 +390,3 @@ class LlamaService {
 }
 
 export default LlamaService;
-
diff --git a/core/tsconfig.json b/core/tsconfig.json
@@ -3,10 +3,7 @@
     "compilerOptions": {
         "target": "ESNext",
         "module": "ESNext",
-        "lib": [
-            "ESNext",
-            "dom"
-        ],
+        "lib": ["ESNext", "dom"],
         "moduleResolution": "Bundler",
         "outDir": "./dist",
         "rootDir": "./src",
@@ -30,13 +27,6 @@
             "./node_modules/jest/types"
         ]
     },
-    "include": [
-        "src/**/*"
-    ],
-    "exclude": [
-        "node_modules",
-        "dist",
-        "src/**/*.d.ts",
-        "types/**/*.test.ts"
-    ]
-}
+    "include": ["src/**/*"],
+    "exclude": ["node_modules", "dist", "src/**/*.d.ts", "types/**/*.test.ts"]
+}
diff --git a/core/tsup.config.ts b/core/tsup.config.ts
@@ -11,7 +11,7 @@ export default defineConfig({
         "fs", // Externalize fs to use Node.js built-in module
         "path", // Externalize other built-ins if necessary
         "http",
-        "https"
+        "https",
         // Add other modules you want to externalize
     ],
 });
diff --git a/docs/docs/api/_media/README_CN.md b/docs/docs/api/_media/README_CN.md
@@ -4,39 +4,39 @@
 
 ## 功能
 
--   🛠 支持discord/推特/telegram连接
--   👥 支持多模态agent
--   📚 简单的导入文档并与文档交互
--   💾 可检索的内存和文档存储
--   🚀 高可拓展性，你可以自定义客户端和行为来进行功能拓展
--   ☁️ 多模型支持，包括Llama、OpenAI、Grok、Anthropic等
--   📦 简单好用
+- 🛠 支持discord/推特/telegram连接
+- 👥 支持多模态agent
+- 📚 简单的导入文档并与文档交互
+- 💾 可检索的内存和文档存储
+- 🚀 高可拓展性，你可以自定义客户端和行为来进行功能拓展
+- ☁️ 多模型支持，包括Llama、OpenAI、Grok、Anthropic等
+- 📦 简单好用
 
 你可以用Eliza做什么？
 
--   🤖 聊天机器人
--   🕵️ 自主Agents
--   📈 业务流程自动化处理
--   🎮 游戏NPC
+- 🤖 聊天机器人
+- 🕵️ 自主Agents
+- 📈 业务流程自动化处理
+- 🎮 游戏NPC
 
 # 开始使用
 
 **前置要求（必须）:**
 
--   [Node.js 22+](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)
--   Nodejs安装
--   [pnpm](https://pnpm.io/installation)
--   使用pnpm
+- [Node.js 22+](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)
+- Nodejs安装
+- [pnpm](https://pnpm.io/installation)
+- 使用pnpm
 
 ### 编辑.env文件
 
--   -   将 .env.example 复制为 .env 并填写适当的值
--   编辑推特环境并输入你的推特账号和密码
+- - 将 .env.example 复制为 .env 并填写适当的值
+- 编辑推特环境并输入你的推特账号和密码
 
 ### 编辑角色文件
 
--   查看文件 `src/core/defaultCharacter.ts` - 您可以修改它
--   您也可以使用 `node --loader ts-node/esm src/index.ts --characters="path/to/your/character.json"` 加载角色并同时运行多个机器人。
+- 查看文件 `src/core/defaultCharacter.ts` - 您可以修改它
+- 您也可以使用 `node --loader ts-node/esm src/index.ts --characters="path/to/your/character.json"` 加载角色并同时运行多个机器人。
 
 在完成账号和角色文件的配置后，输入以下命令行启动你的bot：
 
@@ -163,9 +163,9 @@ pnpm test:sqljs    # Run tests with SQL.js
 
 测试使用 Jest 编写，位于 src/\*_/_.test.ts 文件中。测试环境配置如下：
 
--   从 .env.test 加载环境变量
--   使用 2 分钟的超时时间来运行长时间运行的测试
--   支持 ESM 模块
--   按顺序运行测试 (--runInBand)
+- 从 .env.test 加载环境变量
+- 使用 2 分钟的超时时间来运行长时间运行的测试
+- 支持 ESM 模块
+- 按顺序运行测试 (--runInBand)
 
 要创建新测试，请在要测试的代码旁边添加一个 .test.ts 文件。
-Original file line number
+Diff line change
@@ Expand Up / @@ -398,4 +398,4 @@ export const defaultCharacter: Character = { @@
                 "dive deeper into stuff when its interesting",
             ],
         },
-    };
+    };