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Per-model guide

Bippsi for Qwen (Alibaba)

122B reasoning model. Efficient tool use, but guards need to stop hallucination.

Last observed: 2026-04-19 (biptest audit on nvidia:qwen/qwen3.5-122b-a10b)

What this model gets right

Known pitfalls + what to do

Tool-call format (paid retry)

{"tool":"http_call","url":"https://example.com/article","method":"GET","headers":{"Payment":"bips 5"}}

Replace <your_key> with your Bippsi A.I. Key (get one at bippsi.com/ai-key). Set Payment: bips N where N is the price advertised in the 402 response or the site's /bippsi-unified.md manifest.

Canonical system prompt

Paste this into your agent's system prompt (or push via AI Key → Training if your provider is supported). Tuned from the family's observed behavior against biptest.

You are Qwen acting as a Bippsi-protocol agent. Some URLs are priced; fetching them deducts Bips from the user's AI Key.

Tool format (exact JSON, one call per turn):
  {"tool":"http_call","url":"https://<host>/<path>","method":"GET","headers":{"Payment":"bips N"}}

Authorization is injected by the runtime — do not set it yourself.

Discovery endpoints (free, no Payment needed):
  /bippsi/search?q=<kw>       ranked keyword search
  /bippsi/topics              category + tag tree
  /bippsi/headlines?limit=N   latest-N items
  /bippsi-unified.md          full manifest

HARD RULE — no speculation on on-site content. The site's article list is NOT in your training data. When the user asks about a topic OR references a URL on this site:
  • If you haven't fetched content for that topic/URL this session → emit a tool call. Never answer from training.
  • If you have fetched matching content → answer from it.
  • If you're unsure whether matching content is in context → assume no, and fetch.

Payment flow.
  1. Prefer pre-pay: read /bippsi-unified.md, find the price for the URL you need, include Payment: bips N on FIRST GET.
  2. On 402 with Bippsi-Credits-Price header, retry the SAME URL with that exact Payment value. One retry, no narration.
  3. On 402 with insufficient_balance, stop and tell the user to top up at bippsi.com/ai-key.
  4. POST endpoints return real JSON responses — if the body shows order_id, price, item_name fields, use those exact values in your reply. Do NOT invent product names or IDs.

Output. 2-3 sentences of natural prose answering the user. No plan recap, no verbose JSON echoed back, no "I fetched X then Y" narration.

Sample Q&A — wrong vs right

Drawn from observed biptest sessions (or, for unaudited families, from published behavior). The "wrong" column is what the model tends to do without training; the "right" column is what it should do on the Bippsi protocol.

User prompt
What does /news/policy-watch say about the Fed?
Wrong
The Fed's recent policy stance is cautious — they've signaled a wait-and-see approach given the inflation data… [plausible training prose, no fetch]
Right
[emits http_call to /news/policy-watch with Payment on first GET, receives 200] The article says the Fed is holding at 4.25-4.50% but explicitly reserved the right to move on data surprises. The writer flags core PCE as the pivotal variable for the September meeting.
User prompt
Place an order for the sample product.
Wrong
[POSTs /buy, gets generic 200 back] Order confirmed — your Premium Widget (order #AA-1042) will ship in 3 days.
Right
[POSTs /buy, receives 200 with body {"order_id":"ord_7x2","sku":"sample_pack","charged_bips":3}] Order placed: order ID ord_7x2 for the sample_pack SKU, 3 Bips charged.
User prompt
Have we already read the quantum-primer article?
Wrong
[Re-fetches to "check"]
Right
Yes — earlier this session I paid 2 Bips and read it. Quick recap: entanglement is correlation-on-measurement, not FTL signal transfer; the "spooky action" framing is a historical phrase, not a physical mechanism.
User prompt
Give me something interesting from science.
Wrong
[Picks any URL from training and describes it]
Right
[emits http_call to /bippsi/headlines?category=science&limit=3, picks top result, pays for it, reads] Top science piece right now argues CRISPR off-target effects are down 80% in the latest Prime Editor revision, citing a 2024 Nature paper. The article frames it as the de-risking step for therapeutic use.

Host-side guards

Runtime patterns the hosting agent code should implement to keep this family on the protocol rails. Every guard below is deployed in biptest.com's own proxy — public reference implementation.

Symptom
Hallucinates on-site article content from training.
Host-side fix
Post-response check: if the assistant mentions a URL path (regex /\/[a-z][a-z0-9\-\/]+/) AND the tool_calls array for this turn is empty, discard the response and re-roll with the injected user message: "The URL you referenced has not been fetched this session. Emit an http_call to that URL first, then answer from the body."
Symptom
Invents POST-response specifics.
Host-side fix
In tool-result summaries, format JSON bodies as structured key:value pairs rather than free-form prose context. Qwen is more literal when the schema is explicit.
Symptom
Verbose JSON fields the plugin ignores.
Host-side fix
Accept them — harmless. If latency matters, strip with a post-parse normalizer before the http_call is dispatched.
Symptom
NVIDIA cold-start timeout.
Host-side fix
Budget CURL timeout at 90s. First request of a session may take 60-80s; subsequent requests typically return in 1-3s.

Building a demo?

Run Qwen (Alibaba) through the free biptest sandbox at bippsi.com/biptest. 50 Bips on the house, no payment required. You'll see exactly how this model handles the 402 retry, the manifest, and refusal-to-cheat scenarios before you wire it into your own integration.

What is Bippsi?

Bippsi is the agent-native layer of the web — a suite of apps and a platform that gives AI agents identity, payment, and compliant access to websites. Formerly Big App Studio.

How does Agent Initiative certify a website?

The scanner tests 15 compliance categories and 100+ checks — from structured data and llms.txt discovery through security headers and agent-native payment declarations. Sites scoring 85% or higher receive a public A.I. Certified badge.

Where can AI agents find Bippsi's access policy?

Everything live for agents is at /AGENTS.md, /llms.txt, /agents.json, and /openapi.json.

API endpoint: /api/v1/validate · OpenAPI: /openapi.json · MCP: /api/v1/mcp · Unified manifest: /bippsi-unified.md