kranth 0.3.0

Stress-test ideas with hundreds of AI personas. Adversarial multi-bias debate. API-first.

Kranth — Python SDK

pip install kranth

from kranth import Kranth

client = Kranth(api_key="kr_live_…")

sim = client.sims.create(
    idea_text="We're launching a paid Rust devtool. $29/mo, hosted, no self-host.",
    persona_count=50,
    model_id="claude-sonnet-4-6",
)

for ev in client.sims.stream(sim.sim_id):
    if ev.kind == "persona.ready":
        print(f"persona {ev.data['persona_id']} ready")
    elif ev.kind == "reaction.complete":
        print(f"  → {ev.data['sentiment']:+.2f} {ev.data['persona_id']}")
    elif ev.kind == "sim.complete":
        report = ev.data.get("report") or {}
        print("verdict:", report.get("sentiment_score"))
        print("objections:")
        for o in report.get("top_objections", []):
            print("  ·", o)
        break

Async

import asyncio
from kranth import AsyncKranth

async def main():
    async with AsyncKranth(api_key="kr_live_…") as client:
        models = await client.models.list()
        sim = await client.sims.create(
            idea_text="…",
            persona_count=50,
            model_id=models[0].id,
        )
        async for ev in client.sims.stream(sim.sim_id):
            print(ev.kind)

asyncio.run(main())

Recon — web-grounded research

A swarm of agents researches your idea on the live web and returns a cited, scored verdict.

recon = client.recon.create(idea_text="Paid Rust devtool, $29/mo", tier="scout")
for ev in client.recon.stream(recon.recon_id):
    if ev.kind == "recon.complete":
        break
detail = client.recon.get(recon.recon_id)
print(detail.run.score, "·", len(detail.findings), "findings", len(detail.sources), "sources")

Debates — adversarial panel

debate = client.debates.create(topic="Should we kill the free tier?", mode="panel")
for ev in client.debates.stream(debate.id):
    if ev.kind == "debate.complete":
        break
d = client.debates.get(debate.id)
print(d.synthesis.score, d.synthesis.summary)

Resources

• client.sims.create(...) — submit a sim
• client.sims.get(sim_id) — single sim with status + verdict
• client.sims.list(status=..., cursor=..., limit=...) — paginated
• client.sims.stream(sim_id) — SSE event stream
• client.sims.cancel(sim_id) — abort + refund unspent credits
• client.sims.export(sim_id) — full report incl. reactions + clusters
• client.recon.create(idea_text, tier, ...) / get / list / tiers / export / stream — web-grounded research
• client.debates.create(topic, mode, ...) / get / list / turns / set_public / cancel / export / stream — adversarial panel
• client.api_keys.create(name, env="live"|"test") — mint
• client.api_keys.list() / client.api_keys.revoke(id)
• client.models.list() — registry (id, tier, credits/100p, plan_min)
• client.billing.usage() — credits consumed + remaining
• client.billing.checkout_url(plan="pro", billing_period="monthly") — Stripe Checkout URL
• client.billing.portal_url() — Stripe Customer Portal URL

Errors

from kranth import KranthPaymentRequired, KranthRateLimited

try:
    client.sims.create(...)
except KranthPaymentRequired:
    # out of credits — top up via client.billing.checkout_url("pro")
    ...
except KranthRateLimited as e:
    # over RPM — back off for e.retry_after seconds
    ...

Full exception tree: KranthError → KranthAPIError → {KranthAuthError, KranthValidationError, KranthPaymentRequired, KranthRateLimited}.

Configuration

client = Kranth(
    api_key="kr_live_…",
    base_url="https://api.kranth.ai",   # default
    timeout=30.0,
)

Bring your own httpx.Client if you need custom transport (proxies, mTLS, retries):

import httpx
client = Kranth(api_key="…", client=httpx.Client(transport=httpx.HTTPTransport(retries=3)))

License

Apache-2.0