feat: Add form filling use case for TS

helpers/typescript.ts

@@ -146,11 +146,11 @@ export const installTSTemplate = async ({
         rename: assetRelocator,
       });
 
-      // Copy attachments for form filling agent
-      const attachmentPath = path.join(useCasePath, "attachments");
-      await copy("**", path.join(root), {
+      // Copy use case files to project root
+      await copy("*.*", path.join(root), {
         parents: true,
-        cwd: attachmentPath,
+        cwd: useCasePath,
+        rename: assetRelocator,
       });
     } else {
       console.log(

templates/components/agents/typescript/blog/workflow/factory.ts

@@ -139,6 +139,7 @@ Decision (respond with either 'not_publish' or 'publish'):`;
         new AgentRunEvent({
           agent: "writer",
           text: `Too many attempts (${MAX_ATTEMPTS}) to write the blog post. Proceeding with the current version.`,
+          type: "text",
         }),
       );
     }
@@ -184,6 +185,7 @@ Decision (respond with either 'not_publish' or 'publish'):`;
         text: `The post is ${postIsGood ? "" : "not "}good enough for publishing. Sending back to the writer${
           postIsGood ? " for publication." : "."
         }`,
+        type: "text",
       }),
     );
     if (postIsGood) {

templates/components/agents/typescript/financial_report/README-template.md

@@ -0,0 +1,46 @@
+This is a [LlamaIndex](https://www.llamaindex.ai/) project using [Next.js](https://nextjs.org/) bootstrapped with [`create-llama`](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/create-llama).
+
+## Getting Started
+
+First, install the dependencies:
+
+```
+npm install
+```
+
+Then check the parameters that have been pre-configured in the `.env` file in this directory.
+Make sure you have the `OPENAI_API_KEY` set.
+
+Second, generate the embeddings of the documents in the `./data` directory:
+
+```
+npm run generate
+```
+
+Third, run the development server:
+
+```
+npm run dev
+```
+
+Open [http://localhost:3000](http://localhost:3000) with your browser to see the chat UI.
+
+## Use Case: Filling Financial CSV Template
+
+You can start by sending an request on the chat UI to create a report comparing the finances of Apple and Tesla.
+Or you can test the `/api/chat` endpoint with the following curl request:
+
+```
+curl --location 'localhost:3000/api/chat' \
+--header 'Content-Type: application/json' \
+--data '{ "messages": [{ "role": "user", "content": "Create a report comparing the finances of Apple and Tesla" }] }'
+```
+
+## Learn More
+
+To learn more about LlamaIndex, take a look at the following resources:
+
+- [LlamaIndex Documentation](https://docs.llamaindex.ai) - learn about LlamaIndex.
+- [Workflows Introduction](https://docs.llamaindex.ai/en/stable/understanding/workflows/) - learn about LlamaIndex workflows.
+
+You can check out [the LlamaIndex GitHub repository](https://github.com/run-llama/llama_index) - your feedback and contributions are welcome!

templates/components/agents/typescript/financial_report/workflow/fin-report.ts

@@ -244,6 +244,7 @@ export class FinancialReportWorkflow extends Workflow<
       new AgentRunEvent({
         agent: "Analyst",
         text: `Starting analysis`,
+        type: "text",
       }),
     );
     // Request by workflow LLM, input is a list of tool calls

templates/components/agents/typescript/form_filling/README-template.md

@@ -0,0 +1,36 @@
+This is a [LlamaIndex](https://www.llamaindex.ai/) project using [Next.js](https://nextjs.org/) bootstrapped with [`create-llama`](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/create-llama).
+
+## Getting Started
+
+First, install the dependencies:
+
+```
+npm install
+```
+
+Then check the parameters that have been pre-configured in the `.env` file in this directory.
+Make sure you have the `OPENAI_API_KEY` set.
+
+Second, run the development server:
+
+```
+npm run dev
+```
+
+Open [http://localhost:3000](http://localhost:3000) with your browser to see the chat UI.
+
+## Use Case: Filling Financial CSV Template
+
+1. Upload the Apple and Tesla financial reports from the [data](./data) directory. Just send an empty message.
+2. Upload the CSV file [sec_10k_template.csv](./sec_10k_template.csv) and send the message "Fill the missing cells in the CSV file".
+
+The agent will fill the missing cells by retrieving the information from the uploaded financial reports and return a new CSV file with the filled cells.
+
+## Learn More
+
+To learn more about LlamaIndex, take a look at the following resources:
+
+- [LlamaIndex Documentation](https://docs.llamaindex.ai) - learn about LlamaIndex.
+- [Workflows Introduction](https://docs.llamaindex.ai/en/stable/understanding/workflows/) - learn about LlamaIndex workflows.
+
+You can check out [the LlamaIndex GitHub repository](https://github.com/run-llama/llama_index) - your feedback and contributions are welcome!

templates/components/multiagent/typescript/nextjs/route.ts

@@ -42,8 +42,7 @@ export async function POST(request: NextRequest) {
     const { stream, dataStream } =
       await createStreamFromWorkflowContext(context);
 
-    // Return using the new Response API
-    // TODO: StreamingTextResponse has been deprecated
+    // Return the two streams in one response
     return new StreamingTextResponse(stream, {}, dataStream);
   } catch (error) {
     console.error("[LlamaIndex]", error);

templates/components/multiagent/typescript/workflow/single-agent.ts

@@ -172,6 +172,8 @@ export class FunctionCallingAgent extends Workflow<
     ctx: HandlerContext<FunctionCallingAgentContextData>,
   ) => {
     if (!this.writeEvents) return;
-    ctx.sendEvent(new AgentRunEvent({ agent: this.name, text: msg }));
+    ctx.sendEvent(
+      new AgentRunEvent({ agent: this.name, text: msg, type: "text" }),
+    );
   };
 }

templates/components/multiagent/typescript/workflow/type.ts

@@ -21,16 +21,4 @@ export class AgentRunEvent extends WorkflowEvent<{
   text: string;
   type: AgentRunEventType;
   data?: AgentRunEventData;
-}> {
-  constructor(options: {
-    agent: string;
-    text: string;
-    type?: AgentRunEventType;
-    data?: AgentRunEventData;
-  }) {
-    super({
-      ...options,
-      type: options.type || "text",
-    });
-  }
-}
+}> {}