feat: add generateLlmPredictionWithContext with web search geopolitical context
- New method uses web_search_20260209 server-side tool so Claude fetches 48h of oil/geopolitical news autonomously before predicting direction - Prompt uses raw prices only — no pre-computed EWMA indicators - pause_turn loop handles server-side search continuation (up to 5 iters) - generatePrediction() now tries context method first, falls back to generateLlmPrediction(), then EWMA - Default model updated to claude-sonnet-4-6 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -104,7 +104,8 @@ class OilPriceService
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$prediction = null;
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if (config('services.anthropic.api_key')) {
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$prediction = $this->generateLlmPrediction($prices);
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$prediction = $this->generateLlmPredictionWithContext($prices);
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$prediction ??= $this->generateLlmPrediction($prices);
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}
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$prediction ??= $this->generateEwmaPrediction($prices);
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@@ -204,6 +205,104 @@ class OilPriceService
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}
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}
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/**
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* LLM prediction with 48h geopolitical context via Anthropic web search.
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* Claude searches for recent oil/geopolitical news before answering.
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* Reasons from raw prices only — no pre-computed indicators in prompt.
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*/
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public function generateLlmPredictionWithContext(Collection $prices): ?PricePrediction
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{
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$priceList = $prices->sortBy('date')
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->map(fn (BrentPrice $p) => "{$p->date->toDateString()}: \${$p->price_usd}")
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->implode("\n");
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$prompt = <<<PROMPT
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You are analyzing Brent crude oil price data for a UK fuel price alert service.
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Your goal is to predict the short-term direction over the next 3–5 days.
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First, search for recent news (last 48 hours) about:
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- Brent crude oil price movements
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- OPEC+ production decisions or announcements
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- Major geopolitical events affecting oil supply (Middle East, Russia, US sanctions)
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- Global demand signals (China economic data, US inventory reports)
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Then, combining the news context with the price history below, predict the direction.
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Recent Brent crude prices (USD/barrel):
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{$priceList}
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Respond with JSON only, no other text:
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{"direction": "rising|falling|flat", "confidence": 0-85, "reasoning": "one sentence combining price trend and key news factor"}
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PROMPT;
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$url = 'https://api.anthropic.com/v1/messages';
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$messages = [['role' => 'user', 'content' => $prompt]];
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$response = null;
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try {
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for ($i = 0; $i < 5; $i++) {
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$response = $this->apiLogger->send('anthropic', 'POST', $url, fn () => Http::timeout(30)
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->withHeaders([
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'x-api-key' => config('services.anthropic.api_key'),
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'anthropic-version' => '2023-06-01',
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])
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->post($url, [
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'model' => config('services.anthropic.model', 'claude-sonnet-4-6'),
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'max_tokens' => 1024,
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'tools' => [['type' => 'web_search_20260209', 'name' => 'web_search']],
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'messages' => $messages,
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]));
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if (! $response->successful()) {
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Log::error('OilPriceService: Anthropic context request failed', ['status' => $response->status()]);
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return null;
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}
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if ($response->json('stop_reason') !== 'pause_turn') {
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break;
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}
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$messages[] = ['role' => 'assistant', 'content' => $response->json('content')];
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}
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$text = collect($response->json('content') ?? [])
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->firstWhere('type', 'text')['text'] ?? '';
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$text = preg_replace('/^```(?:json)?\s*/m', '', trim($text));
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$text = preg_replace('/```\s*$/m', '', $text);
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$data = json_decode(trim($text), true);
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if (! isset($data['direction'], $data['confidence'], $data['reasoning'])) {
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Log::error('OilPriceService: unexpected context LLM response format', ['text' => $text]);
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return null;
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}
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$direction = TrendDirection::tryFrom($data['direction']);
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$confidence = min((int) $data['confidence'], self::LLM_MAX_CONFIDENCE);
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if ($direction === null) {
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Log::error('OilPriceService: invalid direction in context LLM response', ['direction' => $data['direction']]);
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return null;
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}
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return new PricePrediction([
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'predicted_for' => now()->toDateString(),
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'source' => PredictionSource::Llm,
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'direction' => $direction,
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'confidence' => $confidence,
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'reasoning' => $data['reasoning'],
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'generated_at' => now(),
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]);
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} catch (Throwable $e) {
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Log::error('OilPriceService: generateLlmPredictionWithContext failed', ['error' => $e->getMessage()]);
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return null;
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}
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}
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/**
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* Option A — EWMA-based trend extrapolation. Used as fallback when LLM is unavailable.
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* Compares the 3-day EWMA against the 7-day EWMA to detect direction.
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@@ -47,7 +47,7 @@ return [
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'anthropic' => [
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'api_key' => env('ANTHROPIC_API_KEY'),
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'model' => env('ANTHROPIC_MODEL', 'claude-haiku-4-5-20251001'),
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'model' => env('ANTHROPIC_MODEL', 'claude-sonnet-4-6'),
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],
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];
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@@ -227,3 +227,131 @@ it('returns null when there is insufficient price data', function (): void {
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expect($this->service->generatePrediction())->toBeNull()
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->and(PricePrediction::count())->toBe(0);
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});
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// --- generateLlmPredictionWithContext ---
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it('generates llm prediction with context using web search and raw prices', function () {
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config(['services.anthropic.api_key' => 'test-key']);
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BrentPrice::factory()->count(20)->sequence(fn ($s) => [
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'date' => now()->subDays(20 - $s->index)->toDateString(),
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'price_usd' => 80.0 + $s->index * 0.5,
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])->create();
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Http::fake([
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'https://api.anthropic.com/*' => Http::response([
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'content' => [
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['type' => 'text', 'text' => '{"direction":"rising","confidence":72,"reasoning":"OPEC+ extended cuts while prices trend upward."}'],
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],
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'stop_reason' => 'end_turn',
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], 200),
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]);
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$prices = BrentPrice::orderBy('date', 'desc')->limit(30)->get();
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$prediction = app(OilPriceService::class)->generateLlmPredictionWithContext($prices);
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expect($prediction)->not->toBeNull()
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->and($prediction->direction)->toBe(TrendDirection::Rising)
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->and($prediction->confidence)->toBe(72)
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->and($prediction->source)->toBe(PredictionSource::Llm)
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->and($prediction->reasoning)->toBe('OPEC+ extended cuts while prices trend upward.');
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Http::assertSentCount(1);
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});
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it('sends web_search tool in the context prediction request', function () {
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config(['services.anthropic.api_key' => 'test-key']);
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BrentPrice::factory()->count(20)->sequence(fn ($s) => [
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'date' => now()->subDays(20 - $s->index)->toDateString(),
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'price_usd' => 80.0,
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])->create();
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Http::fake([
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'https://api.anthropic.com/*' => Http::response([
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'content' => [['type' => 'text', 'text' => '{"direction":"flat","confidence":50,"reasoning":"No clear trend."}']],
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'stop_reason' => 'end_turn',
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], 200),
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]);
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$prices = BrentPrice::orderBy('date', 'desc')->limit(30)->get();
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app(OilPriceService::class)->generateLlmPredictionWithContext($prices);
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Http::assertSent(function ($request) {
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$tools = $request->data()['tools'] ?? [];
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return collect($tools)->contains(fn ($t) => $t['type'] === 'web_search_20260209');
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});
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});
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it('does not include ewma indicators in the context prediction request', function () {
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config(['services.anthropic.api_key' => 'test-key']);
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BrentPrice::factory()->count(20)->sequence(fn ($s) => [
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'date' => now()->subDays(20 - $s->index)->toDateString(),
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'price_usd' => 80.0,
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])->create();
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Http::fake([
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'https://api.anthropic.com/*' => Http::response([
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'content' => [['type' => 'text', 'text' => '{"direction":"flat","confidence":50,"reasoning":"No clear trend."}']],
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'stop_reason' => 'end_turn',
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], 200),
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]);
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$prices = BrentPrice::orderBy('date', 'desc')->limit(30)->get();
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app(OilPriceService::class)->generateLlmPredictionWithContext($prices);
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Http::assertSent(function ($request) {
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$content = $request->data()['messages'][0]['content'] ?? '';
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return ! str_contains($content, 'EWMA') && ! str_contains($content, 'Pre-computed');
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});
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});
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it('context prediction continues on pause_turn and returns final answer', function () {
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config(['services.anthropic.api_key' => 'test-key']);
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BrentPrice::factory()->count(20)->sequence(fn ($s) => [
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'date' => now()->subDays(20 - $s->index)->toDateString(),
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'price_usd' => 80.0,
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])->create();
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Http::fake([
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'https://api.anthropic.com/*' => Http::sequence()
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->push([
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'content' => [['type' => 'server_tool_use', 'id' => 'sttool_1', 'name' => 'web_search', 'input' => ['query' => 'Brent crude news']]],
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'stop_reason' => 'pause_turn',
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], 200)
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->push([
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'content' => [['type' => 'text', 'text' => '{"direction":"falling","confidence":60,"reasoning":"Demand fears weigh on prices."}']],
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'stop_reason' => 'end_turn',
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], 200),
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]);
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$prices = BrentPrice::orderBy('date', 'desc')->limit(30)->get();
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$prediction = app(OilPriceService::class)->generateLlmPredictionWithContext($prices);
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expect($prediction)->not->toBeNull()
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->and($prediction->direction)->toBe(TrendDirection::Falling);
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Http::assertSentCount(2);
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});
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it('generatePrediction falls through to ewma when both llm methods fail', function () {
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config(['services.anthropic.api_key' => 'test-key']);
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BrentPrice::factory()->count(20)->sequence(fn ($s) => [
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'date' => now()->subDays(20 - $s->index)->toDateString(),
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'price_usd' => 80.0,
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])->create();
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Http::fake([
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'https://api.anthropic.com/*' => Http::response([], 500),
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]);
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$prediction = app(OilPriceService::class)->generatePrediction();
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expect($prediction)->not->toBeNull()
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->and($prediction->source)->toBe(PredictionSource::Ewma);
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});
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