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How to integrate Sag with OpenClaw

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How to integrate Sag with OpenClaw

 

Direct answer

 

Integrate Sag with OpenClaw by building a skill that calls Sag’s public APIs and/or accepts Sag webhooks, registering and configuring that skill in ClawHub (providing OAuth client credentials or API keys as secrets), keeping long‑running/stateful pieces outside the agent runtime (webhook receiver, token refresh, databases, schedulers), and ensuring every API call is authenticated and validated (token scopes, webhook signatures, TLS). Implement an external HTTP service that the OpenClaw skill invokes (or that calls into OpenClaw when webhooks arrive), store secrets in ClawHub/your secret store, and use standard debugging steps (logs, API responses, credentials/scopes, and ClawHub invocation logs) when things fail.

 

Overview and key concepts

 
  • Skill: the OpenClaw unit that you install via ClawHub. It defines what your agent can do and how it invokes external services.
  • External service: your Sag integration backend — an HTTPS service you control that performs Sag API calls, manages tokens, and receives webhooks.
  • Authentication: use Sag’s supported mechanism (OAuth 2.0 or API keys). Store credentials as secrets accessible to the skill via ClawHub configuration or an external secret manager.
  • Runtime separation: keep ephemeral agent code small and stateless; anything that needs persistence, scheduled tasks, or high uptime lives outside the agent in your service infrastructure.

 

Prerequisites

 
  • Sag developer credentials (OAuth client_id/client_secret or API key) and knowledge of Sag’s API endpoints and webhook configuration.
  • ClawHub account and the ability to upload/configure a skill package (the skill acts as an entry point for OpenClaw to call into your integration or to call out).
  • HTTPS public endpoint for webhooks and API calls (TLS certificate and domain).
  • Runtime to host your integration backend (serverless function, container, VM) and a secret store for tokens/credentials.

 

High-level architecture

 
  • OpenClaw agent (skill code) — lightweight. It coordinates requests and invokes your external integration endpoints or uses stored credentials to call Sag if the runtime allows it.
  • Integration backend (your service) — implements Sag API calls, handles OAuth token lifecycle, persists state, and validates/accepts Sag webhooks.
  • Secret storage — where client secrets, API keys, and webhook secrets live (ClawHub secret fields or external secret manager referenced by the skill config).
  • Monitoring & logs — centralized logging for your backend and ClawHub invocation logs for the skill to debug end-to-end flows.

 

Authentication: OAuth 2.0 or API keys

 
  • If Sag supports OAuth 2.0: implement a standard authorization code or client credentials flow depending on Sag’s rules. Your integration backend should perform the token exchange and store refresh tokens securely. Expose only short‑lived access tokens to the skill if needed.
  • If Sag supports API keys: store the key in ClawHub secrets or your secret manager; never embed secrets in agent code.
  • Always request the minimum scopes required and document required scopes in the skill configuration so install-time consent is clear.

 

Implementing the integration backend (example patterns)

 
  • Option A — Backend holds credentials and performs Sag calls. The OpenClaw skill calls your backend (authenticated by a ClawHub-issued secret or service token). This is the recommended pattern for security and scale.
  • Option B — Skill has short-lived token and calls Sag directly. Only suitable for short, simple actions when ClawHub supports issuing managed secrets to runtime; still keep refresh/token lifecycle in a backend where possible.

 

Example: calling Sag’s REST API from your backend (Node.js)

 
import fetch from 'node-fetch';

const SAG_API_BASE = process.env.SAG_API_BASE; // e.g. https://api.sag.example
const ACCESS_TOKEN = process.env.SAG_ACCESS_TOKEN;

export async function getResource(resourceId) {
  const res = await fetch(`${SAG_API_BASE}/resources/${encodeURIComponent(resourceId)}`, {
    method: 'GET',
    headers: {
      'Authorization': `Bearer ${ACCESS_TOKEN}`,
      'Accept': 'application/json'
    }
  });
  if (!res.ok) {
    const body = await res.text();
    throw new Error(`Sag API error ${res.status}: ${body}`);
  }
  return res.json();
}

 

Example: OAuth token exchange (Node.js) — generic

 
import fetch from 'node-fetch';

const TOKEN_URL = process.env.SAG_TOKEN_URL; // Sag token endpoint
const CLIENT_ID = process.env.SAG_CLIENT_ID;
const CLIENT_SECRET = process.env.SAG_CLIENT_SECRET;

export async function exchangeCode(code, redirectUri) {
  const params = new URLSearchParams();
  params.append('grant_type', 'authorization_code');
  params.append('code', code);
  params.append('redirect_uri', redirectUri);
  params.append('client_id', CLIENT_ID);
  params.append('client_secret', CLIENT_SECRET);

  const res = await fetch(TOKEN_URL, {
    method: 'POST',
    body: params,
    headers: { 'Content-Type': 'application/x-www-form-urlencoded' }
  });

  if (!res.ok) {
    const text = await res.text();
    throw new Error(`Token exchange failed ${res.status}: ${text}`);
  }
  return res.json();
}

 

Example: webhook receiver and signature verification (Express + Node.js)

 
import express from 'express';
import crypto from 'crypto';

const app = express();
app.use(express.raw({ type: '*/*' }));

const WEBHOOK_SECRET = process.env.SAG_WEBHOOK_SECRET;

app.post('/webhook/sag', (req, res) => {
  const signatureHeader = req.headers['x-sag-signature']; // placeholder header name
  const payload = req.body; // Buffer from express.raw

  const hmac = crypto.createHmac('sha256', WEBHOOK_SECRET);
  hmac.update(payload);
  const expected = hmac.digest('hex');

  if (!signatureHeader || !crypto.timingSafeEqual(Buffer.from(expected), Buffer.from(String(signatureHeader)))) {
    return res.status(401).send('invalid signature');
  }

  const data = JSON.parse(payload.toString('utf8'));
  // process Sag event in your backend (persist, enqueue, or notify OpenClaw skill)
  res.status(200).send('ok');
});

app.listen(process.env.PORT || 8080);

 

How the skill connects to your backend via ClawHub

 
  • Create the skill package that defines what actions the agent can ask your integration to perform (intents/commands and the HTTP endpoints to call on your backend). Use ClawHub’s UI to upload and configure the skill (description, permissions, and which secrets/env variables the skill needs).
  • In ClawHub, set secrets/environment variables (client_id, client_secret, webhook secret, backend service token). Do not commit secrets to source control.
  • Secure the skill-to-backend channel. Use mutual TLS or signed requests (HMAC) so your backend can trust incoming calls originated from the installed skill.

 

Where to run what (practical guidance)

 
  • Run the webhook receiver, token storage, refresh logic, and persistent state in your backend (outside the OpenClaw agent runtime).
  • Keep the agent skill logic minimal: it should orchestrate, validate user input, and call your backend endpoints which contain business logic and API calls to Sag.
  • Use queues for heavy or async work (webhook handling may enqueue work; worker processes process and call Sag when needed).

 

Debugging checklist

 
  • Verify credentials: confirm client_id/client_secret or API key correctness and scope. Attempt a direct cURL token exchange from a terminal.
  • Check token usage: ensure the Authorization header exactly matches Sag’s docs and tokens are not expired.
  • Inspect HTTP responses and logs: log full request/response bodies and headers (redact secrets) for failing calls.
  • Validate webhook signatures and header names. Replay a webhook (using a test signing value) to exercise verification code.
  • Confirm ClawHub skill is installed and invoked: check ClawHub logs for invocation entries or errors and confirm your backend receives expected requests.
  • Confirm network/SSL: the webhook URL must be a public HTTPS endpoint; verify TLS and DNS.

 

Security and operational best practices

 
  • Least privilege: request minimal scopes for OAuth tokens and limit API key permissions.
  • Secrets management: store credentials in ClawHub secret fields or a dedicated secret manager; rotate keys regularly.
  • Webhook validation: always validate signatures, enforce TLS, and use a short window for replay protection.
  • Audit & logging: centralize logs, retain webhook delivery logs, and monitor for anomalous API errors (401/403 rate limits).
  • Error handling: return helpful, structured errors; implement exponential backoff and rate‑limit handling when calling Sag.

 

Testing and rollout

 
  • Start in a staging environment with test Sag credentials or sandbox mode.
  • Run end-to-end flows: install the skill in a test ClawHub workspace, perform OAuth or API key install, trigger actions from the agent, and verify Sag side effects.
  • Use synthetic tests and health checks on your webhook endpoint and token refresh logic.

 

Summary checklist to complete integration

 
  • Decide authentication pattern (OAuth vs API key).
  • Implement integration backend: API callers, token lifecycle, webhook verification.
  • Host backend on HTTPS with public endpoints for webhooks.
  • Configure skill in ClawHub and provide secrets via ClawHub or external secret manager.
  • Secure and test the end-to-end flow in staging, then promote to production with monitoring and key rotation.

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Troubleshooting Sag and OpenClaw Integration

1

Why does Sag fail to authenticate to OpenClaw with "invalid API token" when using clawctl configure-token?

 

Direct answer

 

The error means the value you gave to clawctl configure-token is not the exact, usable API token the OpenClaw runtime expects — common causes are a mistyped/truncated token, wrong token type (UI/session token vs agent/API token), an expired or revoked token, or clawctl pointing at a different OpenClaw instance where the token is invalid.

 

Why this happens and how to fix it

 
  • Check the token string: copy/paste can add newlines or whitespace; re-copy from the source.
  • Verify token type: use the API/agent token, not a UI session cookie.
  • Confirm target: ensure clawctl is configured for the same OpenClaw URL/instance.
  • Inspect env/config overrides: env vars or config files may override the token.
  • Test and refresh: make an authenticated API call and, if 401, regenerate the token and reconfigure.

2

Why does OpenClaw Operator not create OpenClawFlow CRDs after deploying the Sag connector manifest?

The Operator doesn't auto-create OpenClawFlow CRDs because either the CRD isn't installed/applied, the operator lacks RBAC/cluster permissions, the connector manifest only creates CR instances (not CRD definitions), or there's an apiVersion/Kind/namespace mismatch—OpenClaw requires explicit CRD installation and correct permissions.

 

What to check and fix

 
  • Confirm CRD presence: run kubectl get crds | grep OpenClawFlow
  • Check operator logs & RBAC: kubectl -n openclaw-operator logs deploy/openclaw-operator and inspect ServiceAccount/ClusterRoleBindings
  • Validate manifest: ensure it contains CRD YAML (kind: CustomResourceDefinition) or creates CR instances with correct apiVersion/kind/metadata
  • Namespace/watch scope: operator may be namespace-scoped; ensure it's watching the target namespace

3

Why do webhook deliveries from Sag to OpenClaw fail with TLS handshake errors in ocl-agent logs?

Webhook TLS handshakes fail because the ocl-agent cannot build a trusted TLS connection to Sag’s endpoint: common causes are an untrusted or expired certificate chain, hostname/SNI mismatch, TLS version/cipher incompatibility, Sag requiring mutual TLS (client cert) or the agent/container lacking the needed CA roots or being behind TLS‑inspecting proxy.

 

Troubleshooting checklist

 
  • Verify cert chain with openssl:
``` // check chain and SNI openssl s_client -connect sag.example.com:443 -servername sag.example.com ```
  • Test from agent host using curl -v to see precise TLS error.
  • Confirm mTLS — Sag may require client certs; ocl-agent must be given client key/cert.
  • Check CA store in the container/runtime (NODE_EXTRA_CA_CERTS/REQUESTS_CA_BUNDLE or system CA).
  • Inspect logs for “certificate verify failed”, “unknown ca”, “handshake failure”, or “protocol version”.

4

Why are Sag events rejected by the OpenClaw Schema Registry with "schema version mismatch" when using the OpenClaw sink connector?

Direct answer: Sag events are rejected with schema version mismatch because the event's serialized schema version (what the producer embedded or the sink expects) does not match the version registered in the OpenClaw Schema Registry for the subject the sink connector is validating against.

 

Why this happens

 

Common causes:

  • Producer used a different schema version than the registry's current/expected version.
  • Subject naming strategy mismatch (connector validates a different subject).
  • Schema not registered or wrong compatibility mode so the registry rejects the provided version.
  • Missing schema id/metadata in the event payload or headers, so validator assumes a different version.

 

Quick diagnostic and fix

 

Check the event's schema version vs registry and ensure the connector's subject and converter settings align. Example guard in a consumer/transform:

```javascript // // parse incoming Sag event and compare versions const evt = JSON.parse(raw); if (evt.schemaVersion !== process.env.EXPECTED_SCHEMA_VERSION) { throw new Error('schema version mismatch'); } ```
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