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Direct answer: Build a small OpenClaw skill that calls Perplexity’s public REST API (or the Perplexity endpoint your org has), store Perplexity credentials in ClawHub as secure secrets, implement either an API-key or OAuth flow depending on Perplexity’s auth model, keep any long‑running/stateful pieces (databases, queues, schedulers) outside the agent runtime, and deploy the skill through ClawHub so the agent can call the service at runtime — instrument everything with request/response logging, signature/webhook validation, and clear retry and error-handling logic so you can debug API responses, credential scope issues, and invocation problems quickly.
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// <b>//</b> Node.js 18+ or environment with fetch
const PERPLEXITY_API_BASE = process.env.PERPLEXITY_API_BASE || "https://api.perplexity.example"; // <b>//</b> replace with official base
const API_KEY = process.env.PERPLEXITY_API_KEY; // <b>//</b> stored as ClawHub/secret
export async function callPerplexity(prompt, options = {}) {
// <b>//</b> Basic request shape — adapt to Perplexity's schema
const body = {
prompt,
max_tokens: options.maxTokens || 512,
// <b>//</b> add other fields Perplexity requires
};
const res = await fetch(`${PERPLEXITY_API_BASE}/v1/query`, {
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": `Bearer ${API_KEY}`,
},
body: JSON.stringify(body),
// <b>//</b> set sensible timeout at HTTP client or wrapper level
});
// <b>//</b> Check HTTP-level errors early
if (!res.ok) {
const text = await res.text();
throw new Error(`Perplexity API error: ${res.status} ${res.statusText} - ${text}`);
}
const data = await res.json();
// <b>//</b> Normalize the response to what your skill/agent expects
return {
raw: data,
text: data.answer || data.output || JSON.stringify(data), // <b>//</b> adapt per API
};
}
// <b>//</b> Pseudocode: fetch token from your token service
async function getAccessTokenForOrg(orgId) {
const res = await fetch(`https://tokens.example/orgs/${orgId}/perplexity-token`, {
headers: { "Authorization": `Bearer ${process.env.SERVICE_TO_SERVICE_KEY}` }
});
if (!res.ok) throw new Error("Failed to obtain access token");
return res.json(); // <b>//</b> { access_token, expires_at }
}
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1
Direct answer: a 401 usually means the connector didn’t actually present the expected credentials (wrong header name/format, empty/mismounted env var, token expired/incorrect scope), or a network layer (proxy/load‑balancer) altered/removed the auth header — not that OpenClaw “failed” by magic.
// realistic fetch example showing header format
fetch('https://api.perplexity.example/endpoint', {
method: 'POST',
headers: { 'Authorization': 'Bearer YOUR_API_KEY', 'Content-Type': 'application/json' },
body: JSON.stringify({ query: 'test' })
});
2
Perplexity can be used as an LLM provider by adding your Perplexity API key as an environment variable, registering a provider entry in ClawHub or your OpenClaw runtime config that points to Perplexity’s API endpoint, and selecting that provider in the agent’s LLM configuration so runtime calls route to Perplexity models. Verify auth, scopes, and test with a simple request while watching logs.
Do this:
3
Direct answer: Perplexity streaming often hangs or is truncated because the OpenClaw runtime or the HTTP client wrapper used by a skill is buffering the whole response (or not honoring chunked Transfer‑Encoding / SSE), or because the skill isn’t consuming the response stream (or missing the correct SSE headers and timeouts). The fix is to handle the HTTP response as a real stream (SSE/chunked) in your skill or move streaming to an external service that forwards chunks to the agent.
Use a streaming-capable HTTP client (native fetch or axios with responseType:'stream'), set Accept: text/event-stream, and consume the ReadableStream. If the OpenClaw runtime doesn’t expose streaming primitives, handle streaming in an external worker and send assembled events to the agent.
// <b>//</b> Node example using native fetch and a stream reader
const res = await fetch(perplexityUrl, { headers: { Accept: 'text/event-stream', Authorization: `Bearer ${API_KEY}` } });
const reader = res.body.getReader();
const dec = new TextDecoder();
while (true) {
const { value, done } = await reader.read();
if (done) break;
const chunk = dec.decode(value, { stream: true });
// <b>//</b> process or forward chunk immediately
console.log(chunk);
}
4
Fix the mismatch by explicitly mapping Perplexity's response fields to your OpenClaw tool output schema inside the skill adapter: validate types, rename keys, convert structures (arrays/objects), and return the exact fields the action binding expects. Log both schemas and fail early with clear errors.
This prompt helps an AI assistant understand your setup and guide you through the fix step by step, without assuming technical knowledge.
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