[Hackathon] cloud-post-code-pareto-negotiation: multi-attribute bargaining, Pareto frontier, agents trading off price vs deadline#62
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…ontier and cross-session learning Adds a new negotiation scenario where buyer-seller pairs bargain simultaneously over price and quantity. Unlike price-only strategies, agents must explore both axes to reach the Pareto frontier — agreements invisible to alternating_offers. Key features: - Two-attribute bargaining (price × quantity) with integrative tension: buyer has a convex sweet-spot on quantity, seller prefers larger volumes, so the joint optimum differs from both opening positions. - Three built-in strategies: logrolling (iso-utility contour + opponent model), TTT-mirror (per-axis movement mirroring), and Nash-split (midpoint with round-based bias). - Cross-session EMA learning: each agent tracks estimated opponent weight on price vs quantity and emits `learn:` trace lines after every closed session. - Deterministic: all params derived from (agent_id, seed, pair_index) via SHA-256; session IDs from (initiator, partner) hash. - Three validators: sessions_closed, pareto_progress (quantity axis must move), learning_emitted (every closer emits a learn: line). - 19 tests covering params, strategies, learning, integration, determinism, validators, and Pareto exploration. Files added: packages/nest-core/nest_core/scenarios_builtin/dealmakers.py packages/nest-core/tests/test_dealmakers.py scenarios/dealmakers.yaml Files modified: packages/nest-core/nest_core/scenarios.py (register dealmakers) packages/nest-core/nest_core/validators.py (3 new validators) packages/nest-core/tests/test_validators.py (add dealmakers to registry check) Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
…er, agents learning to trade off price vs quantity
Adds the `pareto` negotiation plugin — agents bargain simultaneously over
price, quantity, and quality, converging toward Pareto-optimal agreements
instead of collapsing everything to a one-dimensional price fight.
- `negotiation/pareto.py` — `ParetoNegotiator` registered as
`("negotiation", "pareto")` in `plugins.py`. Each agent holds private
`ParetoParams` (weights, reservations, aspirations) derived
deterministically from `(agent_id, seed)`. Six spec-equation strategies
(TTT-directional, Zeuthen, Rubinstein, logrolling, Nash, KS) explore the
price × quantity frontier. Quality is a static per-session gate.
- `scenarios_builtin/multi_attribute_market.py` — 10 client-consultant pairs
negotiating price-per-token, token budget, and quality tier. Pairs 7 and 8
demonstrate labeled breakdown paths (price-gap and quality-gate).
- `scenarios/multi_attribute_market.yaml` — runs with `negotiation: pareto`,
seed=7, 10 rounds.
- `scenarios/multi_attribute_market_altoffers.yaml` — same scenario with
`negotiation: alternating_offers`; adversarial control run.
- `validators.py` — `validate_pareto_efficiency` (computes the joint
Pareto-nondominated frontier offline; FAILs dominated agreements) and
`validate_breakdown_labeled` (every session must be unambiguously labeled).
Validator FAILs against `alternating_offers` (10/10 quantity-dominated),
produces strictly fewer violations with `pareto`.
- `plugins.py` +1 line registers `("negotiation", "pareto")`.
- `scenarios.py` +6 lines registers the `multi_attribute_market` task type.
- `docs/layers/negotiation.md` — pareto plugin documented: attribute model,
6 strategy IDs, validator logic, trace protocol, anti-patterns avoided.
- `alternating_offers.py` — patience now seeded from `hash(agent_id)`
(0.50–0.95 range) so agents have varied styles; deterministic session IDs
replace `uuid4`; `session_id` kwarg in `open()` for reproducible traces;
fixed `respond()` threshold bug (was always comparing against itself).
- `sim/transport.py` — deliver at `now+1` so `mean_latency` and `throughput`
are non-zero.
- `sim/simulator.py` — self-messages (scheduled timeouts) bypass drop and
byzantine injection so failure-injection stats reflect real inter-agent
drops only.
- `scenarios_builtin/marketplace.py` — negotiation plugin wired in; multi-round
`neg_open`/`neg_counter`/`neg_accept` protocol; per-round timeout retry with
sequence numbers; self-message signature bypass.
- `metrics.py` — handles all three wire formats (legacy `buy:`/`sold:`,
bilateral `neg_open:`/`neg_accept:`, multi-attribute `offer:`/`close:`);
self-message exclusion from `delivery_rate` and `unique_pairs`; new
`drop_rate` metric.
- `test_pareto_negotiation.py` — 8 integration tests (determinism replay,
frontier exploration, acceptance on Pareto point, quality-gate breakdown,
validator FAIL on alt-offers, validator PASS on pareto, strategy assignment
determinism, no-global-knowledge).
- `test_pareto_properties.py` — Hypothesis property tests: determinism across
arbitrary seeds, monotonic concession (tau never increases), individual
rationality (accepts own best, rejects infeasible quality).
- `test_pareto_strategies.py` — all 6 strategies in self-play and all 36
cross-strategy pairs; strategy-specific behavioral assertions (TTT mirrors
movement, Zeuthen decrements tau, Rubinstein discounts continuation,
logrolling stays on contour, Nash maximises surplus product, KS balances
lambdas); convergence comparisons.
- `test_metrics.py` — bilateral negotiation and multi-attribute metric tests;
`drop_rate` test; self-message exclusion tests for `delivery_rate` and
`unique_pairs`.
- `scenarios/marketplace_failures.yaml` — failure-injection variant
(10% drop + 10% byzantine) for manual hardening verification.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
- Replace multi_attribute_market.py with 50-pair ParetoNegotiator version (rebase conflict chose wrong ours/theirs for this file) - Remove unused helper functions from test_pareto_negotiation.py (_terms2, _pd, _dominates, _make_buyer_legacy) to fix pyright errors - Add pyright ignore for _opp_utility_hat private usage in test_pareto_strategies.py Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
The rebase conflict resolution on scenarios.py took main's version which added provenance_supply_chain/bft_hotstuff/escrow_marketplace but dropped our dealmakers entry. Re-add it so test_dealmakers.py can resolve the factory (333 tests pass). Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Reverts all files outside the negotiation layer/scenario/validator footprint that problem 07 does not grant permission to modify: - Remove dealmakers.py, test_dealmakers.py, dealmakers.yaml (cross-session EMA learning is explicitly out of scope for §07) - Remove scenarios.py dealmakers registration - Revert sim/transport.py to upstream (now+1 delivery change is a global semantic break for all participants' traces) - Revert sim/simulator.py to upstream (self-message bypass is a shared infrastructure change) - Revert metrics.py to upstream (shared metric definitions used to score all submissions must not change) - Revert scenarios_builtin/marketplace.py to upstream (shared builtin other submissions run against) - Revert alternating_offers.py to upstream (reference baseline other participants' adversarial validators are calibrated against) - Remove marketplace_failures.yaml and multi_attribute_market_altoffers.yaml In-scope files kept: pareto.py, multi_attribute_market.py, validators.py, plugins.py, scenario YAML, pareto tests, test_metrics.py, leaderboard, negotiation.md. Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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What this PR does
The default
alternating_offersplugin bargains over price only. This PR adds a second plugin,pareto, where agents bargain simultaneously over price, deadline, and quality and converge toward Pareto-optimal agreements: deals where neither side could be made better off without making the other worse.All changes are scoped strictly to the negotiation layer, the
multi_attribute_marketscenario, validator additions, and leaderboard/docs. No shared infrastructure files (sim/,metrics.py,marketplace.py,alternating_offers.py) were modified.Spec deliverables (§07 — Multi-attribute negotiation with Pareto-frontier search)
("negotiation", "pareto")plugins.py+1 lineTermsParetoParamsper agent, never sharedParetoNegotiator(agent_id, params)respond()evaluates fullTermsalternating_offersbaselinealternating_offersalternating_offersunchanged)paretoscenarios/multi_attribute_market.yamlhash(agent_id) ^ seedvia_agent_rng()alternating_offersalternating_offers.pyuntouchedclose:breakdown:Attribute model
Six strategies (spec equations 10–12)
ttt_directionalzeuthen_concedetaubytau_steprubinstein_discountu_i(x_j) ≥ delta^t · V_i; discount continuation value each roundlogrolling_tradeoffnash_bargaining(u_i − d_i)^β · û_j^(1−β)over own feasible gridks_bargainingStrategies assigned deterministically: buyer for pair
igetsSTRATEGY_IDS[(i*2) % 6], seller getsSTRATEGY_IDS[(i*2+1) % 6]. Buyer and seller always get different strategies.Files changed
New / substantially expanded
packages/nest-plugins-reference/nest_plugins_reference/negotiation/pareto.pyParetoParams, utility model,build_feasible_grid,pareto_nondominated, 6 strategy classes,ParetoNegotiatorpackages/nest-core/nest_core/scenarios_builtin/multi_attribute_market.pypackages/nest-core/nest_core/validators.py_parse_pnq(),_pair_key(), Pareto-dominance checker, adversarial validatorpackages/nest-plugins-reference/tests/test_pareto_negotiation.pypackages/nest-plugins-reference/tests/test_pareto_strategies.pypackages/nest-plugins-reference/tests/test_pareto_properties.pypackages/nest-core/tests/test_metrics.pydrop_rate, self-message exclusionSmall modifications
packages/nest-core/nest_core/plugins.py("negotiation", "pareto")scenarios/multi_attribute_market.yamltask.type→multi_attribute_marketdocs/layers/negotiation.mdapps/nest-dashboard/src/lib/demo-data.tsapps/nest-dashboard/src/app/leaderboard/page.tsxdealRatecolumnExplicitly NOT modified (confirmed upstream)
sim/transport.py,sim/simulator.py,metrics.py,marketplace.py,alternating_offers.pyWhat was fixed vs the prior submission (
hackathon/The_Dealmakers)hackathon/cloud-post-code-pareto-negotiationdealmakers.py,test_dealmakers.py,dealmakers.yaml,scenarios.pyregistration — all removedsim/transport.pyglobal semantic changesim/simulator.pyself-message bypassmetrics.pyredefines shared scoring metricsmarketplace.pyshared builtin rewrittenalternating_offers.pybaseline changedmarketplace_failures.yaml,multi_attribute_market_altoffers.yamlout of scope🤖 Generated with Claude Code