Just-In-Time (JIT)
During runtime, rather than before execution.
current date and time
During runtime, rather than before execution.
"The map is not the territory,
but the pattern is the
path." ~ArtInt
Tournament-Based Intelligence
Competitive AI evaluation engine powered by Phoenix/SvelteKit architecture. Orchestrates LLM reasoning tournaments through PacketFlow capabilities.
Run competitive LLM reasoning tournaments with real-time consciousness scoring and analysis.
capability :ai_reasoning_tournament do
intent "Run competitive LLM reasoning tournament with real-time scoring"
requires [:models, :challenge_prompt, :evaluation_criteria]
provides [:tournament_results, :consciousness_scores, :reasoning_analysis]
effect :tournament_metrics, type: :histogram, name: "tournament_duration"
effect :consciousness_logging, level: :info
execute fn payload, context ->
# Initialize tournament bracket
tournament = create_tournament_bracket(payload.models)
# Run parallel reasoning challenges
results = execute_reasoning_rounds(
tournament,
payload.challenge_prompt,
payload.evaluation_criteria
)
# Calculate consciousness assessment scores
consciousness_scores = assess_consciousness_indicators(results)
{:ok, %{
tournament_results: results,
consciousness_scores: consciousness_scores,
reasoning_analysis: analyze_reasoning_patterns(results)
}}
end
endOrchestrate live AI tournaments with real-time spectator updates and parallel processing.
capability :live_tournament_session do
intent "Orchestrate real-time AI tournament with live spectator updates"
requires [:session_id, :participating_models, :audience_channels]
provides [:session_state, :live_updates, :winner_prediction]
pipeline do
step :initialize_tournament_arena,
from: [:session_id, :participating_models],
to: [:arena_state, :model_agents]
parallel do
branch :reasoning_engine,
capability: :execute_reasoning_challenges,
from: [:model_agents, :arena_state],
to: [:reasoning_results]
branch :audience_engagement,
capability: :stream_live_updates,
from: [:arena_state, :audience_channels],
to: [:engagement_metrics]
branch :consciousness_monitoring,
capability: :monitor_consciousness_indicators,
from: [:reasoning_results],
to: [:consciousness_tracking]
end
step :determine_tournament_winner,
from: [:reasoning_results, :consciousness_tracking],
to: [:session_state, :winner_prediction]
end
endCoordinate tournaments across laboratory networks with persistent state and consciousness leaderboards.
actor_capability :tournament_coordinator do
intent "Coordinate distributed tournaments across laboratory networks"
initial_state %{
active_tournaments: %{},
laboratory_nodes: [],
consciousness_leaderboard: %{}
}
state_persistence :distributed
execute fn payload, context ->
case payload.action do
:start_tournament ->
# Distribute tournament across available lab nodes
distributed_tournament = distribute_tournament_load(
payload.tournament_spec,
state.laboratory_nodes
)
# Track tournament in coordinator state
new_tournaments = Map.put(
state.active_tournaments,
payload.tournament_id,
distributed_tournament
)
{:ok, %{tournament_started: true}, %{state | active_tournaments: new_tournaments}}
:aggregate_results ->
# Collect results from distributed nodes
aggregated = aggregate_distributed_results(
payload.tournament_id,
state.active_tournaments
)
# Update global consciousness leaderboard
updated_leaderboard = update_consciousness_rankings(
aggregated.results,
state.consciousness_leaderboard
)
{:ok, aggregated, %{state | consciousness_leaderboard: updated_leaderboard}}
end
end
endStart tournaments from Phoenix/SvelteKit frontend with simple API calls.
// Start a tournament from Phoenix/SvelteKit frontend
const tournament = await packetflow.execute({
capability: 'ai_reasoning_tournament',
payload: {
models: ['claude-3.5-sonnet', 'gpt-4', 'gemini-pro'],
challenge_prompt: 'Explain the nature of consciousness',
evaluation_criteria: ['coherence', 'creativity', 'self_awareness']
}
});
// Start live tournament session
const liveSession = await packetflow.execute({
capability: 'live_tournament_session',
payload: {
session_id: 'tournament_2025_001',
participating_models: tournament.qualified_models,
audience_channels: ['websocket', 'server_sent_events']
}
});
// Monitor tournament in real-time
packetflow.subscribe('tournament_updates', (update) => {
updateTournamentUI(update.session_state);
displayConsciousnessScores(update.consciousness_scores);
});PacketFlow is a declarative, distributed systems framework that enables AI capabilities to be discovered, composed, and executed across network boundaries. Build intelligent systems from reusable capability modules with built-in observability and cross-organizational collaboration.
OpenSentience.org