Run one command, open one page, and inspect the artifacts that demonstrate agent reliability, realistic execution, risk-aware action filters, diagnostic visuals, and extensible plugins. Each card names the artifact and the command that regenerates it; the first-run path uses deterministic agents, tracked snapshots, and no live provider calls.
Watch the quickstart command, showcase portal, audit report, execution realism, extension walkthrough, and retail planning sandbox without leaving this page.
Start with a guided quickstart route through the main demo artifacts, their source commands, and redacted cache manifest.
python scripts/run_launch_demo.py
Artifact status: ready
A compact result page for agent reliability, execution-aware baselines, intraday portfolio probes, and representation robustness.
python scripts/build_benchmark_page.py
A redacted benchmark-submission page that compares runs without exposing raw provider prompts or responses.
python scripts/build_benchmark_registry.py examples/benchmark_submissions
Execution realism, Markowitz/MVO baselines, representation signatures, and custom plugin extensibility.
python scripts/run_paper_design_demos.py
Regenerate the README animations and inspect what each preview conveys without relying on motion alone.
python examples/visual_tour_demo.py
Trace one decision from market observation through proposal, risk review, execution, and reflection.
python scripts/render_audit_report.py
Inspect intent versus executed weights, slippage attribution, and the risk intervention timeline from a replayable trajectory.
python scripts/render_agent_autopsy_dashboard.py
Representation trajectory, correlation/intent heatmap, feedback curves, and exposure waterfall snapshots.
python examples/crisis_snapshot_demo.py
T+1, price-limit, and board-lot constraints as auditable risk-gate interventions.
python examples/ashare_market_rules_demo.py
No-key high-volatility crypto-style stress with fill, rejection, latency, and slippage diagnostics.
python examples/crypto_microstructure_stress_demo.py
Contract metadata and a roll schedule produce expiry and roll-window risk reports.
python examples/futures_roll_risk_demo.py
A deterministic policy wrapper emits normal decisions and reuses risk, execution, trajectory, and evaluator plugins.
python examples/rl_policy_baseline_demo.py
Approved orders become paper-review JSON/CSV rows without any live broker submission.
python examples/alpaca_paper_export_demo.py
Broker request shape is validated locally without credentials, network calls, or live submission.
python examples/dry_run_broker_adapter_demo.py
Adapter permissions, account modes, credential policy, and live-safety controls are declared before review.
python examples/broker_capability_manifest_demo.py
A redacted approval artifact becomes a live-mode safety gate that allows bounded orders and blocks oversized ones.
python examples/broker_approval_safety_demo.py
Paper broker responses are matched back to submitted client order IDs for audit review.
python examples/broker_response_reconciliation_demo.py
Human-gated live-readiness controls are written as an offline checklist artifact.
python examples/operator_runbook_demo.py
Capability, handoff, approval binding, response reconciliation, and runbook artifacts are checked together.
python examples/live_readiness_preflight_demo.py
A tiny holdings CSV fixture feeds the retail planning sandbox and paper rebalance diagnostics.
python examples/holdings_csv_import_demo.py
A local analyst plugin running through the same strategy, risk, execution, memory, and evaluator stack.
python examples/custom_plugin_demo.py
Swap in a custom analyst, risk manager, and evaluator while reusing the rest of the TreLLM stack.
python examples/extension_walkthrough_demo.py
Review investor profiles, suitability checks, target allocations, futures margin estimates, and paper rebalance orders.
python examples/retail_planner_demo.py
Generated by python scripts/run_showcase.py. Large model calls and live market-data downloads are intentionally outside the first-run path.
python scripts/run_showcase.py