fix(forecasting): persist LLM overlay under Tier-1 ITPM via two-call architecture
The daily forecast:llm-overlay command was being skipped because the previous single-conversation flow consumed more than Tier-1's 50,000 input-tokens-per- minute Anthropic bucket. The web_search tool auto-caches its results (~55k tokens) and requires `encrypted_content` intact when those blocks are resent, so the prior retry-on-missing-citations path either 429'd or 400'd on the second call. LlmOverlayService now runs two independent API calls. Phase 1 invokes the web_search tool and we discard the transcript after harvesting the URLs + titles from the returned web_search_tool_result blocks. Phase 2 is a fresh conversation containing the forecast context and the harvested headlines as plain text, with a forced submit_overlay tool call. events_cited is now optional in the tool schema — Haiku's flaky compliance no longer matters because citations come from the search results, not the model's transcription. Model-tagged events (with directional impact) merge with harvested-only entries (impact: 'neutral'), deduped by URL. Between phases the service reads anthropic-ratelimit-input-tokens-remaining / …-reset from Phase 1's headers and sleeps proportionally — only long enough for the SUBMIT_TOKEN_BUDGET worth of refill, not for the full bucket reset, capped at 65 seconds. ApiLogger now captures usage.input_tokens, usage.output_tokens, cache_read_input_tokens, cache_creation_input_tokens, plus the rate-limit remaining/reset headers on every Anthropic response. New nullable columns on api_logs make rate-limit diagnostics directly queryable. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -119,3 +119,57 @@ it('captures response_body when an HTTP RequestException is thrown', function ()
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expect(ApiLog::first()->response_body)->toBe('upstream details');
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});
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it('captures Anthropic usage tokens from a successful response', function (): void {
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Http::fake(['https://api.anthropic.com/v1/messages' => Http::response([
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'content' => [],
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'usage' => [
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'input_tokens' => 1234,
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'output_tokens' => 56,
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'cache_creation_input_tokens' => 8000,
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'cache_read_input_tokens' => 12000,
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],
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])]);
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$this->apiLogger->send('anthropic', 'POST', 'https://api.anthropic.com/v1/messages',
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fn () => Http::post('https://api.anthropic.com/v1/messages'));
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$log = ApiLog::first();
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expect($log->input_tokens)->toBe(1234)
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->and($log->output_tokens)->toBe(56)
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->and($log->cache_write_tokens)->toBe(8000)
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->and($log->cache_read_tokens)->toBe(12000);
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});
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it('captures rate-limit headers from any provider response', function (): void {
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Http::fake(['https://api.anthropic.com/v1/messages' => Http::response(
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['content' => [], 'usage' => ['input_tokens' => 100, 'output_tokens' => 10]],
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200,
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[
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'anthropic-ratelimit-input-tokens-remaining' => '38000',
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'anthropic-ratelimit-input-tokens-reset' => '2026-05-14T12:41:00Z',
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],
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)]);
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$this->apiLogger->send('anthropic', 'POST', 'https://api.anthropic.com/v1/messages',
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fn () => Http::post('https://api.anthropic.com/v1/messages'));
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$log = ApiLog::first();
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expect($log->ratelimit_remaining)->toBe(38000)
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->and($log->ratelimit_reset_at?->toIso8601String())->toBe('2026-05-14T12:41:00+00:00');
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});
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it('leaves token columns null for services without usage data', function (): void {
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Http::fake(['https://example.com/x' => Http::response(['ok' => true])]);
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$this->apiLogger->send('test_service', 'GET', 'https://example.com/x',
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fn () => Http::get('https://example.com/x'));
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$log = ApiLog::first();
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expect($log->input_tokens)->toBeNull()
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->and($log->output_tokens)->toBeNull()
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->and($log->cache_read_tokens)->toBeNull()
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->and($log->cache_write_tokens)->toBeNull()
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->and($log->ratelimit_remaining)->toBeNull()
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->and($log->ratelimit_reset_at)->toBeNull();
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});
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