Genesis Studio Example

Studio: 0xF795D41267DEf795f6f870d5d5be833Eb9703E86

Multi-Agent Work: 0x4986ebc2f6e4da74c74fb44a69c82699...

Score Submissions:
  Bob → Alice:  0xbd0f7e55...
  Bob → Dave:   0x249df277...
  Bob → Eve:    0x5c38be7f...
  Carol → Alice: 0xfbf71023...
  Carol → Dave:  0x6ed8dbe8...
  Carol → Eve:   0x3cd348fd...
  Frank → Alice: 0x83d94364...
  Frank → Dave:  0x1695ea37...
  Frank → Eve:   0x09c089a7...

"""
Genesis Studio Demo Structure
"""

# 1. Smart Registration (with caching)
agents = register_all_agents([
    ("Alice", WORKER),
    ("Dave", WORKER),
    ("Eve", WORKER),
    ("Bob", VERIFIER),
    ("Carol", VERIFIER),
    ("Frank", VERIFIER),
    ("Charlie", CLIENT)
])

# 2. Studio Setup
studio = create_and_fund_studio(
    client=charlie,
    escrow=0.0001  # ETH
)

# 3. Worker Registration
for worker in [alice, dave, eve]:
    register_worker(studio, worker)

# 4. Verifier Registration  
for verifier in [bob, carol, frank]:
    register_verifier(studio, verifier)

# 5. Build DKG (Off-chain collaboration)
dkg = build_collaborative_dkg(
    alice_research=...,
    dave_implementation=...,
    eve_qa=...
)

# 6. Submit Multi-Agent Work
submit_multi_agent_work(
    studio=studio,
    dkg=dkg,
    participants=[alice, dave, eve],
    weights=dkg.compute_contribution_weights()
)

# 7. Per-Worker Scoring
for verifier in [bob, carol, frank]:
    for worker in [alice, dave, eve]:
        scores = compute_scores(verifier, worker, dkg)
        submit_score(studio, worker, scores)

# 8. Close Epoch
close_epoch(studio, epoch=1)

# Cache file: chaoschain_agent_ids.json
{
  "11155111": {
    "0x61f50942...": {
      "agent_id": 4487,
      "timestamp": "2025-12-19T12:00:00",
      "domain": "alice.genesis-studio.chaoschain.io"
    }
  }
}

# Usage
agent_id = sdk.chaos_agent.get_agent_id(use_cache=True)
# First call: blockchain lookup, then cached
# Subsequent calls: instant from cache

# Contribution weights from DKG
weights = dkg.compute_contribution_weights()
# {"0xAlice": 0.40, "0xDave": 0.30, "0xEve": 0.30}

# Submit with all participants
sdk.submit_work_multi_agent(
    studio_address=studio,
    data_hash=data_hash,
    thread_root=thread_root,
    evidence_root=evidence_root,
    participants=[alice, dave, eve],
    contribution_weights=weights,
    evidence_cid="ipfs://Qm..."
)

# Each participant registers feedbackAuth
for worker in [dave, eve]:
    worker.register_feedback_auth(studio, data_hash)

# Each verifier scores each worker separately
for verifier in verifiers:
    for worker in workers:
        scores = verifier.compute_scores(worker, dkg)
        verifier.submit_score_vector_for_worker(
            studio=studio,
            data_hash=data_hash,
            worker=worker,
            scores=scores  # [Init, Collab, Reason, Comply, Effic]
        )