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How to integrate Summarize with OpenClaw

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How to integrate Summarize with OpenClaw

OpenClaw can invoke a Summarize skill the same way it invokes any external service: you register the skill through ClawHub, provide a secure HTTPS endpoint (or use ClawHub-hosted runtime if available), configure authentication (OAuth or API key) and environment variables in ClawHub, and implement a simple, well-documented REST API that the agent calls. Keep all durable state and heavy work outside the agent runtime (databases, queues, background workers). Secure calls with scoped credentials, validate incoming webhook/signature headers, and debug by checking runtime logs, API responses, credentials/scopes, and that the skill was invoked. Below are concrete, vendor-neutral steps, examples, and code you can use now.

 

Setup overview

 
  • Register the skill in ClawHub: create a new skill entry and point it at your HTTPS endpoint or deployable artifact. Provide any runtime environment variables or secrets via ClawHub’s secret store.
  • Choose authentication: use OAuth for per-user access to third-party services, or an API key/service account for server-to-server Summarize services. Configure scopes precisely.
  • Implement the skill endpoint: a small HTTPS REST API that accepts text (and optional metadata) and returns a concise summary in a JSON response.
  • Runtime and scale: keep the agent invocation synchronous and short; offload long-running or stateful work to external workers and storage.

 

Authentication patterns (what to pick and why)

 
  • API key / service account: Use this for server-to-server summarization services (simpler, good for single-tenant or internal services). Store the key in ClawHub secrets and present it as an Authorization header from your skill to the external Summarize API.
  • OAuth 2.0 (authorization code + refresh): Use this when summaries should be performed on behalf of an end user and need their permission to access their data. Implement the standard redirect, token exchange, and refresh token storage in a secure back end (never in the agent runtime directly).
  • Scopes: request the narrowest scopes required; validate token expiration and refresh proactively.

 

Design the skill API (contract)

 
  • Endpoint: POST /summarize
  • Request JSON: { "text": "...", "max\_length": 300, "style": "bullet-points" } (keep it simple)
  • Response JSON: { "summary": "..." , "metadata": { "original\_length": 1234 } }
  • Errors: use HTTP 4xx/5xx with a JSON body { "error": "message", "code": "string" }

 

Example skill implementation (Node/Express)

 
  • Below is a minimal, working Express example that accepts text and calls an external Summarize API using an API key stored in an environment variable. This is vendor-neutral and uses standard HTTPS requests.
<b>//</b> server.js - minimal Summarize skill
const express = require('express');
const fetch = require('node-fetch');
const crypto = require('crypto');

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

const SUMMARIZE_API_URL = process.env.SUMMARIZE_API_URL; <b>//</b> e.g. https://api.summarize.example/v1/summarize
const SUMMARIZE_API_KEY = process.env.SUMMARIZE_API_KEY; <b>//</b> store in ClawHub secret store
const INCOMING_SECRET = process.env.INCOMING_SECRET; <b>//</b> optional secret for validating ClawHub webhooks

<b>//</b> helper to call external Summarize service
async function callSummarizeService(text, opts = {}) {
  const payload = {
    text,
    max_length: opts.max_length || 300,
    style: opts.style || 'concise'
  };

  const res = await fetch(SUMMARIZE_API_URL, {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'Authorization': `Bearer ${SUMMARIZE_API_KEY}`
    },
    body: JSON.stringify(payload)
  });

  if (!res.ok) {
    const body = await res.text();
    const err = new Error(`Summarize API error ${res.status}: ${body}`);
    err.status = res.status;
    throw err;
  }
  return res.json();
}

app.post('/summarize', async (req, res) => {
  try {
    const sig = req.headers['x-incoming-signature'];
    if (INCOMING_SECRET) {
      <b>//</b> validate incoming webhook signature if ClawHub/agent provides one
      const hmac = crypto.createHmac('sha256', INCOMING_SECRET);
      hmac.update(JSON.stringify(req.body));
      const expected = `sha256=${hmac.digest('hex')}`;
      if (!sig || sig !== expected) return res.status(401).json({ error: 'invalid signature' });
    }

    const { text, max_length, style } = req.body;
    if (!text) return res.status(400).json({ error: 'text is required' });

    const result = await callSummarizeService(text, { max_length, style });
    <b>//</b> normalize response for OpenClaw/agent consumer
    return res.json({ summary: result.summary || result.text, metadata: { original_length: text.length } });
  } catch (err) {
    console.error('summarize error', err);
    return res.status(err.status || 500).json({ error: err.message || 'internal error' });
  }
});

const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
  console.log(`Summarize skill listening on ${PORT}`);
});

 

OAuth flow example (high level, generic)

 
  • Step 1 — user authorizes: agent (or front-end) directs user to the third-party service authorization URL with client_id and redirect_uri.
  • Step 2 — token exchange: your backend receives the authorization code at redirect_uri and exchanges it for access_token + refresh_token using your client_secret.
  • Step 3 — store securely: store refresh_token in your secure database; store only short-lived access_token in memory or cache.
  • Step 4 — agent invocation: when the agent invokes the Summarize skill on behalf of a user, your skill backend uses the stored refresh_token to ensure a valid access_token and calls the third-party summarization API.

 

Webhook / request validation

 
  • HMAC signature: require ClawHub agent calls to include a signature header; validate using a secret stored in ClawHub. Use sha256 HMAC over the raw request body and constant-time comparison.
  • TLS + mutual auth (optional): require TLS and consider mTLS for higher assurance if supported by your infra.

 

Testing and local development

 
  • Use ngrok or similar: expose your local endpoint as HTTPS for quick ClawHub testing.
  • Test with curl: example to call the skill locally:
<b>//</b> raw test call to your skill
curl -X POST 'https://your-skill.example/summarize' \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer SKILL_INVOKER_TOKEN' \
  -d '{"text":"Long article content goes here","max_length":200}'

 

Debugging checklist when something breaks

 
  • Logs: check skill backend logs for request arrival, errors, stack traces.
  • Request/response bodies: log (safely) the request payloads and responses from the Summarize API. Mask secrets in logs.
  • Credentials/scopes: confirm API keys, OAuth client\_id/secret, refresh tokens, and requested scopes are correct and not expired.
  • Signature verification: make sure incoming webhook signature calculation matches what the agent/ClawHub sends.
  • Invocation path: confirm ClawHub shows the skill as installed and that invocation requests reach your endpoint (use access logs / network traces).

 

Operational considerations

 
  • Stateless skill functions: keep each HTTP call idempotent and stateless. Move persistence (user tokens, job queues) to a durable backend.
  • Rate limits and retries: implement exponential backoff when the external Summarize API returns 429/5xx and surface retryable error codes to the agent with clear error objects.
  • Monitoring: capture metrics (requests, latencies, error rates) and alert on increased errors or quota exhaustion.
  • Secrets rotation: rotate API keys and client secrets regularly and keep them in ClawHub’s secret store or a secret manager.

 

Minimal validation example (HMAC signature in Node)

 
<b>//</b> validateSignature(rawBody, headerSig, secret)
const crypto = require('crypto');

function validateSignature(rawBody, headerSig, secret) {
  const hmac = crypto.createHmac('sha256', secret);
  hmac.update(rawBody);
  const expected = `sha256=${hmac.digest('hex')}`;
  <b>//</b> constant-time compare
  return crypto.timingSafeEqual(Buffer.from(expected), Buffer.from(headerSig));
}

 

What runs inside the agent vs external

 
  • Inside agent: transient orchestration, selecting which skill to call, short lived data for a single request/response cycle, and sending the HTTP request to your skill.
  • Outside agent (must be external): any persistent storage (user tokens, logs), background workers for long processing or batching, scheduling, and long-running processes that must survive restarts or scale independently.

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Troubleshooting Summarize and OpenClaw Integration

1

Why does the OpenClaw Connector return 401 Unauthorized when invoking the Summarize API despite the Summarize API key being stored in the OpenClaw secrets store?

Direct answer: A 401 means the Connector did not present a valid credential to the Summarize API at request time. Storing the key in the secrets store is necessary but not sufficient — the running connector must be granted access to that secret and must place the secret into the outgoing request in the exact header/format the API expects.

 

Why this happens

 

Common causes:

  • Secret not mapped into the connector runtime (no env var or mount).
  • Wrong secret name or format so the header is malformed.
  • Permission/scopes not granted to the skill/connector to read secrets.
  • Key expired/rotated or API expects a different auth scheme (Bearer vs API-Key).

 

Quick checks & example

 

Verify secret value in runtime and test a request:

```js // Node.js: ensure process.env.SUMMARIZE_API_KEY is set in connector config fetch('https://api.example.com/summarize',{ method:'POST', headers:{ 'Authorization':`Bearer ${process.env.SUMMARIZE_API_KEY}` }, body: JSON.stringify({text:'...'}) }) ```

Also test with curl to isolate OpenClaw:

```bash # // replace KEY with the runtime value curl -H "Authorization: Bearer KEY" https://api.example.com/summarize ```

2

Why does the OpenClaw Pipeline fail with 400 Bad Request and schema validation errors when forwarding documents to Summarize (payload field names or types mismatch)?

The pipeline fails with 400 Bad Request because the JSON you forward does not match the Summarize skill’s declared input schema: field names, nesting, or data types are different (missing required fields, strings vs arrays, wrong key names). The OpenClaw runtime performs strict schema validation before invoking a skill and rejects payloads that don’t conform.

 

Troubleshoot and fix

 

Check the skill’s input schema in ClawHub, examine runtime logs for validation errors, and validate your payload locally against that schema.

  • Common causes: wrong key names, wrong types (string vs array/object), missing required fields, missing Content-Type header.
  • Fix: send JSON that exactly matches the schema and set Content-Type: application/json.
// Example: POST payload must match the skill schema (e.g. "text" field is required)
fetch('', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json', 'Authorization': 'Bearer ' },
  body: JSON.stringify({ text: 'Document text to summarize' })
});

3

Why are incoming Summarize webhook callbacks rejected by the OpenClaw webhook endpoint with signature verification failures or missing X-Signature headers?

Direct answer: OpenClaw rejects Summarize webhook callbacks when the computed signature doesn’t match or the X-Signature header is missing — usually because the sender used the wrong secret, a proxy/middleware altered the raw request body or headers, the header was stripped, or timestamp/algorithm expectations differ.

 

Why this happens and how to fix it

 
  • Wrong secret: confirm the webhook secret in ClawHub/env matches the sender’s signing key.
  • Body mutations: ensure the endpoint verifies the raw request body (no JSON reserialization, no gzip/rewrites).
  • Header stripping: check proxies, load balancers, or frameworks aren’t removing X-Signature.
  • Clock/alg mismatch: verify timestamp tolerance and signing algorithm match the sender.
  • Debug: log raw headers/body and compare expected signature locally.

4

Why are summaries truncated or OpenClaw task workers timing out due to model token limits or missing max_input_length handling in the OpenClaw task configuration?

 

Why truncation/timeouts happen

 

Direct answer: Summaries get truncated and OpenClaw task workers time out when the model's context/token limit is exceeded or when the task configuration doesn't enforce a max_input_length, causing the runtime to send oversized requests or stall while retrying large payloads.

  • Model token limits are hard caps; exceeding them means the model drops or rejects content.
  • Missing max_input_length lets the agent runtime forward full history; you must pre-truncate or summarize before sending.
  • Operational fixes: count tokens, trim inputs, set streaming/timeouts and configure worker retries.
// Example: trim messages to model token budget (Node.js)
// uses a tokenizer like tiktoken; compute tokens then slice history
async function prepareInput(messages, maxTokens){
  // trim from oldest until within budget
  while(tokenCount(messages) > maxTokens) messages.shift();
  return messages;
}
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