{"schema_version":"onlylabs.public_signal.v1","title":"DigitalOcean (GradientAI) Writing: Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","description":"DigitalOcean (GradientAI) writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/c0703e41-189a-4f5f-a101-88fbbd5703da","json_url":"https://onlylabs.fyi/signals/c0703e41-189a-4f5f-a101-88fbbd5703da/signal.json","generated_at":"2026-06-07T21:14:56.63886+00:00","org":{"slug":"digitalocean","name":"DigitalOcean (GradientAI)","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/digitalocean","dossier_json_url":"https://onlylabs.fyi/labs/digitalocean/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/c0703e41-189a-4f5f-a101-88fbbd5703da","signal_json":"https://onlylabs.fyi/signals/c0703e41-189a-4f5f-a101-88fbbd5703da/signal.json","source":"https://www.digitalocean.com/blog/prompt-caching-with-digital-ocean","lab_dossier":"https://onlylabs.fyi/labs/digitalocean","lab_dossier_json":"https://onlylabs.fyi/labs/digitalocean/dossier.json","analysis":"https://onlylabs.fyi/analysis/digitalocean","analysis_json":"https://onlylabs.fyi/analysis/digitalocean/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/digitalocean/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"DigitalOcean (GradientAI) published Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Routine technical blog post, not a major release or breakthrough · Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems | DigitalOcean © 2026 DigitalOcean, LLC. Sitemap . Dark mode is coming soon..... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://www.digitalocean.com/blog/prompt-caching-with-digital-ocean","source_host":"digitalocean.com","occurred_at":"2026-03-17T19:25:04.252+00:00","first_seen_at":"2026-06-05T22:32:16.504595+00:00","date_source":"rss.item_date","context":null},"context_markers":[{"label":"Lab","value":"DigitalOcean (GradientAI)","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"digitalocean.com","source":"source"},{"label":"Notability","value":"Routine technical blog post, not a major release or breakthrough","source":"signal"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Agents and tool 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frontier labs; for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/c0703e41-189a-4f5f-a101-88fbbd5703da/signal.json","required":true},{"label":"source","url":"https://www.digitalocean.com/blog/prompt-caching-with-digital-ocean","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/digitalocean/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/digitalocean/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze DigitalOcean (GradientAI)'s writing signal \"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems\" for neocloud strategy."},"semantic_triples":[{"subject":"DigitalOcean (GradientAI)","predicate":"published","object":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","text":"DigitalOcean (GradientAI) published Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems."},{"subject":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","predicate":"is classified as","object":"writing signal","text":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems is classified as writing signal."},{"subject":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","predicate":"belongs to","object":"talking desk","text":"Prompt Caching for Anthropic and OpenAI Models: 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Systems","predicate":"has related signal count","object":"6","text":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems has related signal count 6."},{"subject":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","predicate":"has analysis playbook objective","object":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","text":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems has analysis playbook objective Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.."},{"subject":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","predicate":"has source host","object":"digitalocean.com","text":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI 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notability","object":"Routine technical blog post, not a major release or breakthrough","text":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems has notability Routine technical blog post, not a major release or breakthrough."},{"subject":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","predicate":"has watch term","object":"Data pipeline","text":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems has watch term Data pipeline."},{"subject":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","predicate":"has watch term","object":"Infrastructure","text":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems has watch term Infrastructure."},{"subject":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","predicate":"has watch term","object":"Agents and tool use","text":"Prompt Caching for 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This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Routine technical blog post, not a major release or breakthrough · Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems | DigitalOcean © 2026 DigitalOcean, LLC. Sitemap . Dark mode is coming soon..... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"DigitalOcean (GradientAI)","predicate":"published","object":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","text":"DigitalOcean (GradientAI) published Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems."},{"subject":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","predicate":"is classified as","object":"writing signal","text":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems is classified as writing signal."},{"subject":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","predicate":"belongs to","object":"talking desk","text":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems belongs to talking desk."},{"subject":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems has evidence coverage 1 captured evidence page."}]},"signal":{"id":"c0703e41-189a-4f5f-a101-88fbbd5703da","url":"https://onlylabs.fyi/signals/c0703e41-189a-4f5f-a101-88fbbd5703da","json_url":"https://onlylabs.fyi/signals/c0703e41-189a-4f5f-a101-88fbbd5703da/signal.json","source_url":"https://www.digitalocean.com/blog/prompt-caching-with-digital-ocean","title":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","summary":"DigitalOcean (GradientAI) published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"digitalocean","name":"DigitalOcean (GradientAI)","category":"neocloud"},"occurred_at":"2026-03-17T19:25:04.252+00:00","first_seen_at":"2026-06-05T22:32:16.504595+00:00","date_source":"rss.item_date","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.digitalocean.com/blog/prompt-caching-with-digital-ocean"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://www.digitalocean.com/blog/prompt-caching-with-digital-ocean","final_url":"https://www.digitalocean.com/blog/prompt-caching-with-digital-ocean","title":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:14:56.63886+00:00","bytes":291181,"raw_path":"74b33810bf7cd5c574a576eab8384b9d625bb9dd80c0726f40a426f926e755a1.html","content_hash":"96d0722109d030db7727adb5f71bbd374e35d2c3e57df3188793e518a4b0f1c0","excerpt_chars":1200,"truncated":true,"excerpt":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems | DigitalOcean © 2026 DigitalOcean, LLC. Sitemap . Dark mode is coming soon. Engineering Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems By Satyam Namdeo Updated: March 17, 2026 9 min read <- Back to blog home Large Language Models (LLMs) have become a foundational component for modern AI applications, from developer copilots and documentation assistants to advanced troubleshooting tools. As these applications scale, one challenge quickly becomes apparent: token costs can grow rapidly when large prompts are repeatedly sent to the model . A common architecture for production AI systems includes long system instructions, tool schemas, retrieved knowledge base documents, and conversation history. These components can easily add thousands of tokens per request. When applications handle thousands or millions of requests per day, repeatedly processing the same static prompt content becomes expensive. To address this problem, prompt caching has emerged as an essential optimization technique supported by major model providers such as Anthropic and OpenAI . Prompt caching..."},"evidence_pages":[{"url":"https://www.digitalocean.com/blog/prompt-caching-with-digital-ocean","final_url":"https://www.digitalocean.com/blog/prompt-caching-with-digital-ocean","title":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:14:56.63886+00:00","bytes":291181,"raw_path":"74b33810bf7cd5c574a576eab8384b9d625bb9dd80c0726f40a426f926e755a1.html","content_hash":"96d0722109d030db7727adb5f71bbd374e35d2c3e57df3188793e518a4b0f1c0","excerpt_chars":1200,"truncated":true,"excerpt":"Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems | DigitalOcean © 2026 DigitalOcean, LLC. Sitemap . Dark mode is coming soon. Engineering Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems By Satyam Namdeo Updated: March 17, 2026 9 min read <- Back to blog home Large Language Models (LLMs) have become a foundational component for modern AI applications, from developer copilots and documentation assistants to advanced troubleshooting tools. As these applications scale, one challenge quickly becomes apparent: token costs can grow rapidly when large prompts are repeatedly sent to the model . A common architecture for production AI systems includes long system instructions, tool schemas, retrieved knowledge base documents, and conversation history. These components can easily add thousands of tokens per request. When applications handle thousands or millions of requests per day, repeatedly processing the same static prompt content becomes expensive. To address this problem, prompt caching has emerged as an essential optimization technique supported by major model providers such as Anthropic and OpenAI . 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