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How to integrate Ai Ppt Generator with OpenClaw

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How to integrate Ai Ppt Generator with OpenClaw

To integrate Ai Ppt Generator with OpenClaw, build a small external service that handles OAuth/API-key authentication, calls the Ai Ppt Generator REST API to create PPT files, stores or streams generated files (S3 or similar), and exposes secure webhook/callback and REST endpoints that your OpenClaw skill (registered in ClawHub) will invoke. Keep all long-running work and stateful storage outside the agent runtime, implement proper token handling and webhook validation, and configure the skill in ClawHub with the correct redirect URIs, scopes, and API credentials so OpenClaw can invoke your skill actions reliably.

 

High-level architecture

 

  • External integration service (recommended): a web service you control that performs OAuth token exchanges, calls the Ai Ppt Generator API, persists tokens and job state, and exposes callback/webhook endpoints.
  • Storage and assets: object storage (S3/GCS) to hold generated PPTs; use presigned URLs for upload/download to avoid large attachments through the agent runtime.
  • OpenClaw skill configuration: register the skill in OpenClaw’s skill management (ClawHub) with the endpoints, OAuth redirect, scopes and metadata. The skill should forward user intent to your external service.
  • Agent runtime vs external: keep the agent runtime stateless and short-lived. Use the agent to authenticate the user (trigger OAuth), start jobs, and present results; let the external service handle generation, retries, queuing and storage.

 

Step-by-step integration plan

 

  • 1) Read Ai Ppt Generator docs: identify API endpoints, required auth (OAuth2 vs API key), request/response shapes for job creation, status polling, and webhook callbacks. Use the exact URLs and parameters from the vendor docs.
  • 2) Plan auth: choose OAuth2 if you need user-scoped access, or API keys/service accounts for app-level access. Note required scopes and redirect URIs.
  • 3) Build a small external service: handle OAuth flows, token refresh, call Ai Ppt Generator APIs, store job state, and expose HTTP endpoints for your OpenClaw skill to invoke. Use secure storage for secrets.
  • 4) Storage: implement S3/compatible storage for PPTs and return presigned URLs to OpenClaw so the agent or UI can fetch files.
  • 5) Webhooks/callbacks: implement and validate webhooks from Ai Ppt Generator (HMAC or secret header) so generation completion is pushed to your service.
  • 6) Register skill in ClawHub: configure the skill manifest or registration so OpenClaw can call your skill endpoints and so your skill can initiate OAuth flows (redirect URIs, scopes). Provide any human-readable metadata required by ClawHub.
  • 7) Implement agent-side invocations: map user intents to skill actions that call your external endpoints (start job, check status, fetch result).
  • 8) Test and harden: verify token refresh, webhook validation, file upload/download, and failure modes (network, rate limits). Add logging and retries.

 

Minimal example: Node.js external service pieces

 

Notes: Replace <AI_PPT_API\_BASE>, client IDs, secrets, and storage endpoints with vendor-provided values. These examples use generic OAuth token exchange, job creation, and webhook verification patterns—adapt to the actual Ai Ppt Generator API spec.

const express = require('express');
const fetch = require('node-fetch');
const crypto = require('crypto');
// load secrets from environment
const {
  AI_PPT_CLIENT\_ID,
  AI_PPT_CLIENT\_SECRET,
  AI_PPT_API\_BASE, // e.g. https://api.vendor.example
  WEBHOOK\_SECRET,
  S3_PRESIGN_ENDPOINT
} = process.env;

const app = express();
app.use(express.json());

// OAuth token exchange endpoint (called by your browser redirect after user authorizes)
app.post('/oauth/callback', async (req, res) => {
  const { code, redirect\_uri } = req.body;
  // Exchange code for tokens
  const tokenResp = await fetch(`${AI_PPT_API_BASE}/oauth/token`, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({
      grant_type: 'authorization_code',
      code,
      client_id: AI_PPT_CLIENT_ID,
      client_secret: AI_PPT_CLIENT_SECRET,
      redirect\_uri
    })
  });
  const tokenJson = await tokenResp.json();
  // Persist tokenJson (access_token, refresh_token, expires\_in) associated with user
  // saveTokensForUser(userId, tokenJson);
  res.json({ ok: true });
});

// Start PPT generation (called by OpenClaw skill endpoint)
app.post('/generate', async (req, res) => {
  const { userId, title, prompts } = req.body;
  // Retrieve stored access token for user
  // const { access\_token } = await getTokensForUser(userId);
  const access_token = 'REPLACE_WITH_REAL_TOKEN';

  // Request generation from Ai Ppt Generator
  const createResp = await fetch(`${AI_PPT_API_BASE}/v1/generate`, {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${access_token}`,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({ title, prompts, output\_format: 'pptx' })
  });
  const job = await createResp.json();
  // Persist job.id and return job handle to agent
  res.json({ jobId: job.id });
});

// Webhook: Ai Ppt Generator notifies when file is ready
app.post('/webhook/ai-ppt', async (req, res) => {
  const signature = req.header('X-Signature') || '';
  const payload = JSON.stringify(req.body);

  // Verify HMAC signature (vendor should supply signing secret or public key)
  const expected = crypto.createHmac('sha256', WEBHOOK\_SECRET).update(payload).digest('hex');
  if (!crypto.timingSafeEqual(Buffer.from(expected), Buffer.from(signature))) {
    return res.status(401).send('invalid signature');
  }

  const { jobId, fileUrl } = req.body;
  // Save fileUrl for job, optionally move file into controlled storage
  // saveJobResult(jobId, fileUrl);

  // Optionally issue a presigned S3 URL or transfer to your storage and notify OpenClaw runtime/user
  res.status(200).send('ok');
});

app.listen(3000);

 

Example: Uploading result to S3 and returning presigned URL

 

const AWS = require('aws-sdk');
const s3 = new AWS.S3();

async function fetchAndStoreToS3(sourceUrl, bucket, key) {
  // Fetch the generated file from vendor URL
  const r = await fetch(sourceUrl);
  if (!r.ok) throw new Error('failed to fetch generated file');

  const buffer = await r.buffer();
  // Upload to S3 (private)
  await s3.putObject({
    Bucket: bucket,
    Key: key,
    Body: buffer,
    ContentType: 'application/vnd.openxmlformats-officedocument.presentationml.presentation'
  }).promise();

  // Generate presigned GET URL (valid for limited time)
  const url = s3.getSignedUrl('getObject', { Bucket: bucket, Key: key, Expires: 60 \* 60 });
  return url;
}

 

How the OpenClaw skill should interact

 

  • Initiate OAuth: the skill redirects users to the Ai Ppt Generator authorization URL (configured in ClawHub), then your external service handles the token exchange and persists tokens.
  • Start job: the skill calls your external /generate endpoint with user context; your service returns a jobId immediately.
  • Notify user: when the webhook informs you the PPT is ready, your service stores the file and either:
    • returns a presigned URL to the OpenClaw agent via a callback the agent can poll, or
    • invokes a skill-specific callback endpoint in OpenClaw if supported by your skill framework (use vendor docs; otherwise rely on polling).
  • Keep agent stateless: the agent should only orchestrate — show progress and provide the download link; do heavy lifting outside.

 

Security, scaling, and operational best practices

 

  • Least privilege: request only the OAuth scopes you need.
  • Secrets management: store client secrets and webhook secrets in a secrets manager; load them into env vars at runtime.
  • Token refresh: implement refresh tokens and automatic refresh before expiry.
  • Webhook verification: always verify signatures or verification tokens on callbacks.
  • Retries and idempotency: make job creation idempotent on retries (use client-supplied request\_id) and handle vendor rate limits.
  • Move state out of agent: store job state in a DB (Postgres, Redis) external to the agent runtime for reliability.
  • Observability: log requests/responses, store vendor error messages, and surface useful errors to the agent (not raw stack traces).

 

Common failure modes and debugging checklist

 

  • 401/403 from Ai Ppt API: check tokens, scopes, and whether the client ID/secret are correct. Confirm token refresh logic works.
  • Webhook not delivered: verify public endpoint (use ngrok in dev), confirm webhook URL configured in vendor console, check firewall/NAT, and inspect webhook logs.
  • Signature verification failed: ensure you’re using the exact raw request body and the vendor’s signing algorithm/secret.
  • Large file handling: prefer presigned S3 URLs to passing files through your agent; verify content-type and memory limits.
  • Skill invocation errors in OpenClaw: confirm the skill endpoints and OAuth redirect URIs registered in ClawHub exactly match your service configuration.
  • Rate limits: implement exponential backoff and surface rate-limit status codes to logs for diagnosis.

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Troubleshooting Ai Ppt Generator and OpenClaw Integration

1

401 Unauthorized for Ai Ppt Generator requests using OpenClaw CLI token

 

Return 401 Unauthorized for Ai Ppt Generator requests that present an OpenClaw CLI token because CLI tokens commonly lack the runtime API scopes or are invalid for service-to-service calls; reject them at the API boundary and log the mismatch.

 

How to detect and respond

  • Check Authorization header for presence and correct Bearer token format.
  • Validate token type/scopes against expected runtime or service credential.
  • Log token metadata (masked) and reason for rejection.
// Minimal Express middleware to reject CLI tokens const expectedType = process.env.EXPECTED_TOKEN_TYPE || 'service'; // <b>//</b> assume token format: type:value (example policy) function rejectCliToken(req,res,next){  const auth = req.get('Authorization') || '';  if(!auth.startsWith('Bearer ')) return res.status(401).send('Unauthorized');  const token = auth.slice(7);  // <b>//</b> simple heuristic: CLI tokens start with "cli_"  if(token.startsWith('cli_')) return res.status(401).send('Unauthorized: CLI token not allowed');  next(); }

2

Configuring webhook/callback URLs behind reverse proxy/NAT for Ai Ppt Generator callbacks

 Expose your Ai Ppt Generator callback by creating a stable public URL (reverse proxy, dynamic DNS + port-forward, or tunnel), terminate TLS there, forward to the OpenClaw agent runtime preserving headers (X-Forwarded-For/Proto), register that URL in ClawHub/skill config, and protect callbacks with a secret token or signature verified by the skill. Log and validate payloads, and use healthchecks/retries.

 

Details

  • Use a reverse proxy (nginx/caddy) or ngrok/Cloudflare Tunnel to get TLS and a public endpoint.
  • Port-forward NAT to the proxy; keep agent runtime on localhost and proxy to it.
  • Set a callback path like /callbacks/ai-ppt and require a header X-Callback-Token.
  • Verify signature/token in the skill before accepting work; log requests and responses for debugging.

3

Corrupted/truncated PPTX output when Ai Ppt Generator runs as OpenClaw workflow task

Most likely the PPTX is corrupted because binary data is being transformed or truncated between the Ai Ppt Generator and the OpenClaw task runtime (wrong encoding, missing Content-Length, text-mode transport, closed stream too early, or runtime size limits). Return the file as base64, set proper headers, or store the file externally and return a URL.

 

Steps to debug

 

Check:

  • Ensure generator closes the ZIP and produces a complete Buffer.
  • Return file as base64 with isBase64Encoded or upload to object store.
  • Set Content-Type to PPTX MIME and Content-Length when streaming.
  • Inspect logs, API responses, and runtime size/time limits.
```js exports.handler = async (event) => { const buf = await generatePptx(); return { statusCode:200, headers:{'Content-Type':'application/vnd.openxmlformats-officedocument.presentationml.presentation'}, isBase64Encoded:true, body:buf.toString('base64') }}; ```

4

Rate-limit (429) and retry errors when submitting bulk Ai Ppt Generator jobs via workflow manifest or job queue

 

Handle 429s by honoring Retry-After, using exponential backoff with jitter, queueing requests (so workers rate-limit), using idempotency keys for safe retries, and recording metrics + circuit-breaker to prevent overload. Implement retries in your job-submitter (or workflow worker) and move heavy retry/state to external queue or service outside the agent runtime.

 

Practical steps

  • Detect 429 and look for Retry-After header.
  • Backoff: exponential + random jitter; cap delay.
  • Queue and worker-side rate limiter; emit idempotency keys.
  • Log/metrics and circuit-breaker to pause submissions.
async function submitJob(payload){  const max=6;  for(let i=1;i<=max;i++){    const res=await fetch(URL, {method:'POST', headers:{'Authorization':`Bearer ${process.env.AI_KEY}`,'Content-Type':'application/json'}, body:JSON.stringify(payload)});    if(res.status===202) return await res.json();    if(res.status!==429) throw new Error('submit failed '+res.status);    const ra=res.headers.get('Retry-After');    const delay=ra?parseFloat(ra)*1000:Math.min(1000*Math.pow(2,i),30000);    const jitter=Math.random()*500;    await new Promise(r=>setTimeout(r, delay + jitter));  <b>//</b> retry after delay  }  throw new Error('max retries reached'); }
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