Wasp•4w ago

Wasp API Route Not Found (404) for Langflow Integration in GitHub Codespaces

📌 Wasp API Route Not Found (404) for Langflow Integration in GitHub Codespaces Hey everyone,
I'm working on integrating Langflow into my Wasp (v0.16.0) project inside a GitHub Codespace, but I'm running into a 404 Not Found issue when my frontend tries to call the API route.
--- 🛠️ Setup & What I'm Trying to Do - Using Wasp (v0.16.0). - Running the app inside a GitHub Codespace. - Trying to create an API endpoint (/api/runLangflow) that my frontend can call to interact with Langflow. --- 📌 What I’ve Done So Far 1️⃣ Defined the API route in main.wasp:

api runLangflow {
  fn: import { runLangflow } from "@src/demo-ai-app/operations",
  entities: [User],
  httpRoute: (POST, "/api/runLangflow")
}

api runLangflow {
  fn: import { runLangflow } from "@src/demo-ai-app/operations",
  entities: [User],
  httpRoute: (POST, "/api/runLangflow")
}

2️⃣ Created the function in operations.ts:

import { LangflowClient } from "./langflow";

{API Keys}

const langflowClient = new LangflowClient(
{ENV}
);

export async function runLangflow({ input }: { input: string }) {
  try {
    const response = await langflowClient.runFlow(input);
    return response;
  } catch (e) {
    console.error("Error running Langflow:", e);
    throw e;
  }
}

import { LangflowClient } from "./langflow";

{API Keys}

const langflowClient = new LangflowClient(
{ENV}
);

export async function runLangflow({ input }: { input: string }) {
  try {
    const response = await langflowClient.runFlow(input);
    return response;
  } catch (e) {
    console.error("Error running Langflow:", e);
    throw e;
  }
}

###3️⃣ Updated my frontend to call /api/runLangflow:

const response = await fetch("/api/runLangflow", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ input: userMessage }),
});

const response = await fetch("/api/runLangflow", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ input: userMessage }),
});

Issues - /api/runLangflow doesn't appear in wasp info, meaning it’s not being registered. - Running curl to /api/runLangflow also returns a 404 Not Found. What Could Be Causing This? - Is Wasp not recognizing the API definition? - Do I need to expose the API differently in GitHub Codespaces? - Does Wasp handle API routes differently in Codespaces? Would really appreciate any help! Thanks in advance. 🚀😊

4 Replies

kapa.ai•4w ago

Hi @Marcus. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave: ---------------------- Based on the information provided in the knowledge sources, I can offer some insights into your issue with the Wasp API route not being found (404) for Langflow integration in GitHub Codespaces. However, it's important to note that the knowledge sources don't contain specific information about GitHub Codespaces integration with Wasp, so I'll focus on the general API setup in Wasp. 1. API Definition: Your API definition in main.wasp looks correct. However, make sure that the import path for the runLangflow function is correct. The path should be relative to the src directory. 2. API Implementation: The implementation of your runLangflow function seems fine, but ensure that it's exported correctly and that the file path matches the import statement in main.wasp. 3. Frontend API Call: Instead of using fetch directly, you should import and use the action generated by Wasp. According to the Wasp documentation on Operations, you should import the action on the client side and call it as a function. Your code should look something like this:

import { runLangflow } from '@wasp/actions/runLangflow'

// ...

const response = await runLangflow({ input: userMessage })

import { runLangflow } from '@wasp/actions/runLangflow'

// ...

const response = await runLangflow({ input: userMessage })

4. API Route Not Appearing: If the API route doesn't appear in wasp info, it's possible that there's an issue with how Wasp is processing your main.wasp file. Double-check for any syntax errors or misconfigurations in your Wasp file. 5. CORS Issues: If you're running into CORS issues, you might need to set up CORS for your API. According to the Wasp documentation on Custom HTTP API Endpoints, you can modify headers in your API implementation:

export const runLangflow = (req, res, context) => {
  res.set("Access-Control-Allow-Origin", "*");
  // Your implementation here
};

export const runLangflow = (req, res, context) => {
  res.set("Access-Control-Allow-Origin", "*");
  // Your implementation here
};

However, for a more comprehensive CORS setup, you might need to use the apiNamespace feature as mentioned in a GitHub issue comment. 6. 404 Error: The 404 error suggests that the route is not being registered correctly. This could be due to a mismatch between your API definition and implementation, or an issue with how Wasp is processing your configuration. To troubleshoot further: 1. Double-check all import paths and make sure they're correct. 2. Verify that your Wasp version (v0.16.0) supports all the features you're using. 3. Try creating a minimal example with just the API route to isolate the issue. 4. Check Wasp's server logs for any error messages during startup. If these steps don't resolve the issue, it might be related to how GitHub Codespaces interacts with Wasp, which isn't covered in the provided knowledge sources. In that case, you might want to reach out to Wasp's support channels or check their documentation for any specific instructions related to GitHub Codespaces. ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ---------------------- Sorry @Marcus, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist: Perhaps try again in 15mins?

Vinny (@Wasp)•4w ago

Hey @Marcus if this server-side operation is only being called by your client then you should opt for a Wasp Operation instead of a traditional API endpoint. Wasp uses "Operations" (actions and queries) for it's internal CRUD operations, and saves the API definitions more for externally facing operations (e.g. Webhooks, External users calling your server-side functions) @kapa.ai can you show us how to convert this api definition into a Wasp Action instead?

kapa.ai•4w ago

Let me check the knowledge base for you again. One moment! :books: ---------------------- Certainly! You're absolutely right that for internal operations between the client and server in a Wasp application, using Wasp Operations (actions and queries) is the preferred approach. I'll show you how to convert the API definition into a Wasp Action. To convert the API definition into a Wasp Action, you'll need to make changes in two places: the main.wasp file and the implementation file. Here's how you can do it: 1. In main.wasp: Replace the API definition with an action definition:

action runLangflow {
  fn: import { runLangflow } from "@src/demo-ai-app/operations.js",
  entities: [User]
}

action runLangflow {
  fn: import { runLangflow } from "@src/demo-ai-app/operations.js",
  entities: [User]
}

Note that we've removed the httpRoute field, as it's not needed for actions. The entities field is optional and depends on whether you need to access any entities within the action. 2. In your implementation file (e.g., src/demo-ai-app/operations.js): The implementation remains largely the same, but the function signature changes slightly:

import { LangflowClient } from "./langflow";

// {API Keys and environment variables setup}

const langflowClient = new LangflowClient(
  // {ENV}
);

export const runLangflow = async (args, context) => {
  try {
    const response = await langflowClient.runFlow(args.input);
    return response;
  } catch (e) {
    console.error("Error running Langflow:", e);
    throw e;
  }
}

import { LangflowClient } from "./langflow";

// {API Keys and environment variables setup}

const langflowClient = new LangflowClient(
  // {ENV}
);

export const runLangflow = async (args, context) => {
  try {
    const response = await langflowClient.runFlow(args.input);
    return response;
  } catch (e) {
    console.error("Error running Langflow:", e);
    throw e;
  }
}

The main difference here is that the function now receives args and context parameters. The input is now accessed via args.input. 3. On the client-side: Instead of using fetch, you'll import and use the action directly:

import { runLangflow } from 'wasp/client/operations'

// ...

try {
  const response = await runLangflow({ input: userMessage });
  // Handle the response
} catch (error) {
  // Handle any errors
}

import { runLangflow } from 'wasp/client/operations'

// ...

try {
  const response = await runLangflow({ input: userMessage });
  // Handle the response
} catch (error) {
  // Handle any errors
}

This approach offers several advantages: - It's more idiomatic in Wasp applications. - It provides automatic type checking if you're using TypeScript. - It handles authentication and authorization automatically if you've set up auth in your Wasp app. - It integrates with Wasp's smart cache invalidation system. By using a Wasp Action instead of a custom API endpoint, you're leveraging Wasp's built-in features for client-server communication, which should resolve the 404 issue you were experiencing and provide a more seamless development experience. Wasp Documentation on Actions provides more details on working with actions if you need further information. ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ---------------------- Sorry @Vinny (@Wasp), I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist: Perhaps try again in 15mins?

Vinny (@Wasp)•4w ago

Does this make sense @Marcus ? Let me know if you need more help.

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Wasp API Route Not Found (404) for Langflow Integration in GitHub Codespaces

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