Sports: Opponent scouting report

examples/64-sports-scouting.halo policies |* parallel

Fetches an opponent's recent results and team stats, has an attack analyst and a defense analyst work in parallel, and combines them into a structured scouting report for the coaching staff. Swap the REST base URL for your stats provider.

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// ============================================================
// Sports: Opponent scouting report
// ============================================================
// Fetches an opponent's recent results and team stats, has an attack
// analyst and a defense analyst work in parallel, and combines them
// into a structured scouting report for the coaching staff.
// Swap the REST base URL for your stats provider.
// ============================================================

policy Budget : MaxSpend(0.30)
policy Shape  : Require(JSON)

tool Stats : REST("api.example-sportsdata.com/v3", apiKey: Env.SPORTS_DATA_KEY)

schema ScoutingReport {
  opponent: String
  formation: String
  threats: Array<String>
  weaknesses: Array<String>
  game_plan: Array<String>
}

agent AttackAnalyst [anthropic/claude-haiku-4-5, temp: 0.2]
  system "You analyze how a team scores: patterns, key players, set pieces."
  requires Budget

agent DefenseAnalyst [anthropic/claude-haiku-4-5, temp: 0.2]
  system "You analyze how a team concedes: gaps, pressing, transitions."
  requires Budget

agent Coach [anthropic/claude-sonnet-4-5, temp: 0.2]
  system """
    You combine analysts' notes into a practical scouting report. Answer
    with JSON: {"opponent": "", "formation": "", "threats": [], "weaknesses": [], "game_plan": []}
  """
  requires Budget, Shape

@retry(2, 5s)
pipeline ScoutOpponent(team_id: String, last_matches: Number) -> ScoutingReport:
  team_id
    // 1. Recent results and season stats
    |* {
         Stats.results(team: team_id, limit: last_matches) as results,
         Stats.team_stats(team: team_id) as season
       }

    // 2. Two analysts in parallel
    |* {
         AttackAnalyst.analyze_attack(context.data.results, context.data.season) as attack,
         DefenseAnalyst.analyze_defense(context.data.results, context.data.season) as defense
       }

    // 3. One report, checked against the ScoutingReport schema
    |> Coach.scouting_report("Opponent {{team_id}}.", context.data.attack, context.data.defense)