docs: cleanup (#1745)

apps/next/src/content/docs/llamaindex/getting_started/starter_tutorial/structured_data_extraction.mdx → apps/next/src/content/docs/llamaindex/tutorials/structured_data_extraction.mdx

 ---
-title: Structured data extraction tutorial
+title: Structured data extraction 
 ---
 
 import { DynamicCodeBlock } from 'fumadocs-ui/components/dynamic-codeblock';
-import CodeSource from "!raw-loader!../../../../../../../../examples/jsonExtract";
+import CodeSource from "!raw-loader!../../../../../../../examples/jsonExtract";
 
 Make sure you have installed LlamaIndex.TS and have an OpenAI key. If you haven't, check out the [installation](../setup) guide.
 
-You can use [other LLMs](../../examples/other_llms) via their APIs; if you would prefer to use local models check out our [local LLM example](../../examples/local_llm).
+You can use [other LLMs](/docs/llamaindex/modules/llms) via their APIs; if you would prefer to use local models check out our [local LLM example](./local_llm).
 
 ## Set up
 

examples/agentworkflow/single-agent.ts

 /**
- * This example shows how to use AgentWorkflow as a single agent with tools
+ * This example shows how to use a single agent with a tool
  */
 import { openai } from "@llamaindex/openai";
-import { Settings, agent } from "llamaindex";
+import { agent } from "llamaindex";
 import { getWeatherTool } from "../agent/utils/tools";
 
-Settings.llm = openai({
-  model: "gpt-4o",
-});
-
-async function singleWeatherAgent() {
-  const workflow = agent({
+async function main() {
+  const weatherAgent = agent({
+    llm: openai({
+      model: "gpt-4o",
+    }),
     tools: [getWeatherTool],
     verbose: false,
   });
 
-  const workflowContext = workflow.run(
-    "What's the weather like in San Francisco?",
-  );
-  const sfResult = await workflowContext;
-  // The weather in San Francisco, CA is currently sunny.
-  console.log(`${JSON.stringify(sfResult, null, 2)}`);
+  // Run the agent and keep the context
+  const context = weatherAgent.run("What's the weather like in San Francisco?");
+  const result = await context;
+  console.log(`${JSON.stringify(result, null, 2)}`);
 
   // Reuse the context from the previous run
-  const workflowContext2 = workflow.run("Compare it with California?", {
-    context: workflowContext.data,
+  const caResult = await weatherAgent.run("Compare it with California?", {
+    context: context.data,
   });
-  const caResult = await workflowContext2;
-  // Both San Francisco and California are currently experiencing sunny weather.
   console.log(`${JSON.stringify(caResult, null, 2)}`);
 }
 
-singleWeatherAgent().catch((error) => {
+main().catch((error) => {
   console.error("Error:", error);
 });

packages/community/README.md

@@ -5,8 +5,8 @@
 ## Current Features:
 
 - Bedrock support for Amazon Nova models Pro, Lite and Micro
-- Bedrock support for the Anthropic Claude Models [usage](https://ts.llamaindex.ai/modules/llms/available_llms/bedrock) including the latest Sonnet 3.5 v2 and Haiku 3.5
-- Bedrock support for the Meta LLama 2, 3, 3.1 and 3.2 Models [usage](https://ts.llamaindex.ai/modules/llms/available_llms/bedrock)
+- Bedrock support for the Anthropic Claude Models [usage](https://ts.llamaindex.ai/docs/llamaindex/modules/llms/bedrock) including the latest Sonnet 3.5 v2 and Haiku 3.5
+- Bedrock support for the Meta LLama 2, 3, 3.1 and 3.2 Models [usage](https://ts.llamaindex.ai/docs/llamaindex/modules/llms/bedrock)
 - Meta LLama3.1 405b and Llama3.2 tool call support
 - Meta 3.2 11B and 90B vision support
 - Bedrock support for querying Knowledge Base