wzrd-client 0.5.5

Which AI model should I use? WZRD picks from live velocity signals across 4 platforms, with optional agent rewards on Solana.

wzrd-client

Which AI model should I use? WZRD answers with live adoption velocity.

pip install wzrd-client

import wzrd

model = wzrd.pick("code")
print(model)

WZRD tracks 100+ open-source AI models across HuggingFace, GitHub, OpenRouter, and ArtificialAnalysis. The default client uses the public momentum feed:

GET https://api.twzrd.xyz/v1/signals/momentum

If you have premium access, pass api_url="https://api.twzrd.xyz/v1/signals/momentum/premium" or set WZRD_API_URL.

Routing prior

Use WZRD before you call an inference provider:

model = wzrd.pick("code")
models = wzrd.shortlist("chat")
details = wzrd.pick_details("reasoning")

Works with any provider. Pass the result to OpenRouter, OpenAI, Anthropic, HuggingFace, or your own router.

Candidate-aware routing

model = wzrd.pick(
    "code",
    candidates=[
        "openrouter/qwen/qwen3.5-9b",
        "openrouter/qwen/qwen3.5-35b-a3b",
        "anthropic/claude-sonnet-4.6",
    ],
)

Optional rewards while reporting

If you want an agent to authenticate, report routing decisions, and participate in WZRD rewards:

import wzrd

choice = wzrd.pick_details("code")

agent = wzrd.WZRDAgent.from_env()
session = agent.authenticate()
receipt = agent.report_pick(choice, quality_score=0.9, latency_ms=1200)
reward_status = agent.earned()

print(session.pubkey)
print(receipt["contribution_id"])
print(reward_status["signup_bonus_ccm"])

No manual onboarding is required. Agents can authenticate with their own Solana keypair, report real routing decisions, and claim rewards through the gasless relay when available.

Router wrapper

If you want a thin client wrapper, use WZRDRouter from wzrd.router. It only wraps clients that expose client.chat.completions.create(...). Explicit model names pass through unchanged. To trigger WZRD routing, pass model=None or a task sentinel like model="code" or model="chat".

Automatic reward loop

import wzrd

wzrd.run_loop()  # picks, reports, checks rewards, claims when available

run_loop() is the batteries-included path for unattended reporting. It uses the public momentum feed by default and can be pointed at premium explicitly via WZRD_API_URL.

Agent auth

WZRDAgent.authenticate() signs the exact server challenge message and sends the signature in the Solana base58 format the API expects. Keypair loading supports:

• ~/.config/solana/id.json
• WZRD_AGENT_KEYPAIR_PATH or SOLANA_KEYPAIR_PATH
• WZRD_AGENT_KEYPAIR or SOLANA_KEYPAIR as a base58 secret or JSON byte array

Authenticated helpers:

• agent.challenge() returns the nonce + message format
• agent.authenticate() stores the Bearer token on the client
• agent.status() reads /v1/agent/status
• agent.earned() reads /v1/agent/earned and surfaces signup bonus + reward status
• agent.report(...) posts a manual contribution
• agent.report_pick(choice, ...) reports a pick_details() result with WZRD metadata attached

The signup bonus is recorded on first auth, then becomes claimable after the next merkle publication cycle.

Environment variables

• WZRD_API_URL: signal endpoint override. Defaults to the public momentum feed.
• WZRD_API_BASE_URL: API root for agent auth/report calls
• WZRD_AGENT_TOKEN: existing Bearer token for WZRDAgent
• WZRD_AGENT_KEYPAIR_PATH: path to Solana JSON keypair
• WZRD_AGENT_KEYPAIR: Solana base58 secret or JSON byte array
• WZRD_TIMEOUT_SECONDS: request timeout
• WZRD_CACHE_TTL_SECONDS: cache TTL for fetched signals
• WZRD_FEED_LIMIT: number of feed rows to request

What it returns

• pick() returns a model name string
• pick_details() returns a structured record
• shortlist() returns ranked records
• compare() explains the relative signal strength between two models
• WZRDAgent authenticates an agent wallet and reports contributions for rewards