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blog engineering notes on ai routing and llms prism by ssimplifi prism guides compare tools pricing docs blog dashboard sign in get started guides compare tools pricing docs the prism blog engineering notes product updates and deep dives on ai api routing model selection and building with llms the prism blog covers ai api engineering for developers written by ravi patel founder of ssimplifi posts focus on hands on engineering rather than industry commentary topics covered cost optimization how to cut ai api spend 30 50 by routing simple queries to cheaper models without losing quality model comparisons claude vs gpt 4o vs gemini benchmarks on real developer workloads code generation classification reasoning provider quirks differences in streaming behavior error handling and token counting across anthropic openai and google build in public engineering decisions and architecture notes from shipping prism tutorials integrating multi model routing session memory and automatic failover into production apps routing cost optimization model comparisons build in public tutorials session memory all posts jun 3 2026 9 min read the hop loss gap we shipped in 24 hours a competitor adjacent founder publicly flagged an attribution gap in our edge cache layer here s exactly what was wrong why it mattered and the one day commit that closed it code paths included jun 3 2026 5 min read three ai providers went down on the same day here s the architecture that didn t care on june 2 2026 claude chatgpt and grok all had outages in the same window if your app calls one provider directly your app went down too why single vendor reliance is an architecture problem and what health weighted cross provider failover actually looks like ai reliability llm failover multi provider api infrastructure may 31 2026 4 min read the free ai gateway reframed bring your own key and keep the savings most free ai gateway tiers meter your logs and stop recording at a cap prism s free tier is different bring your own provider keys get a full multi model gateway with caching and routing and the savings land on your own bill 0 markup ai api ai gateway byok caching free tier cost optimization llm infrastructure may 25 2026 15 min read gpt 5 4 vs gpt 5 4 mini task by task where the 3 3x price gap is worth paying and where it isn apos t gpt 5 4 costs about 3 3x more than gpt 5 4 mini at current openai list pricing the honest task by task comparison where mini handles the work cleanly most simple tasks where the price gap is justified reasoning complex synthesis and the routing pattern that captures the wedge gpt 5 4 gpt 5 4 mini model comparison cost optimization routing openai may 24 2026 14 min read the hidden cost of streaming llms caches you can apos t use bills you don apos t expect and complexity you don apos t need streaming feels faster to users but breaks caching complicates billing adds operational overhead and creates failure modes that non streaming requests avoid entirely here apos s when to use it and the more common cases where you shouldn apos t llm streaming cost optimization ux production discipline may 24 2026 14 min read structured outputs vs json mode vs function calling vs raw text the cost tradeoff explained structured outputs feel like a quality feature but the real impact is token economics 30 50 less verbose responses on extraction and classification workloads plus reliability gains that eliminate retry driven cost overruns the tradeoff matrix and when to use each shape openai structured outputs json mode function calling cost optimization may 24 2026 15 min read redis vs vector cache for llm responses latency cost and when to use each redis is the right backend for exact match llm caching vector databases are the right backend for semantic caching production deployments need both here s the latency math cost model and pick list per use case redis vector database llm cache semantic cache infrastructure upstash pinecone pgvector may 24 2026 12 min read prompt cache fingerprinting pitfalls the discipline that makes exact match caching actually hit exact match llm caching only works if two equivalent requests fingerprint to the same key the seven normalisation pitfalls that break naive implementations with the fixes that hold up in production ai caching fingerprinting llm infrastructure redis production discipline may 24 2026 15 min read openai prompt caching explained automatic free to enable 90 off cached input tokens openai apos s prompt cache engages automatically on prompts 1 024 tokens with no caller side configuration the mechanics the 90 discount math the cached_tokens field the production patterns that maximise hit rate openai prompt caching cached tokens llm cost optimization gpt 5 may 24 2026 15 min read model routing by task type the savings math the classifier overhead and the a b that proves it task type routing is the largest structural cost lever in llm applications here s the per task savings arithmetic the classifier overhead it s negligible and the a b framework that proves quality didn t regress llm routing task classifier cost optimization production discipline may 24 2026 16 min read measuring llm roi the 5 metrics that matter the 12 that look like they do and the live savings counter that closes the loop roi on llm spend isn apos t one number it apos s a small panel of metrics that together answer what you apos re getting for the money the 5 that actually drive decisions the 12 vanity metrics to ignore and the public savings counter prism uses to close the credibility loop llm roi metrics finops savings measurement may 24 2026 14 min read llm token budgeting for startups the playbook before you have a finance function ai finops without the finops team per feature budgets simple alert wiring and the rule of thumb thresholds that catch runaway loops before they cost a week of runway the startup shaped version of llm budget governance llm finops startup token budget cost governance ai spend may 24 2026 15 min read llm cost reduction techniques ranked by roi the 5 that matter the 9 that don t much don t deploy 14 cost reduction techniques deploy 5 that capture most of the savings in this order provider native prompt caching exact match response caching model tier routing max_tokens discipline semantic caching the ranking the math and the diminishing returns curve llm cost reduction ai cost optimization ranked techniques production discipline may 24 2026 11 min read exact vs semantic caching for llms when each wins measured exact match caching is cheap and never wrong but hits rarely semantic caching catches near duplicates but risks false positives here s the per workload economics the threshold math and when to run both ai api caching semantic cache exact cache cost optimization llm infrastructure may 24 2026 13 min read cache invalidation strategies for llm apis ttl prompt version semantic threshold phil karlton was right cache invalidation is one of the two hard problems for llm caches the four invalidation strategies that actually work ttl by workload class prompt version keying semantic threshold tuning and explicit purge when each applies with the trade offs llm cache cache invalidation ttl prompt versioning semantic cache production discipline may 24 2026 13 min read batch api vs real time openai the 50 discount the 24 hour latency tolerance and the workloads that should switch openai apos s batch api discounts chat completions 50 in exchange for accepting up to 24 hour processing latency here apos s which workloads qualify the integration pattern the math and the surprisingly large slice of production traffic that should move openai batch api cost optimization async processing llm spend may 24 2026 14 min read anthropic prompt caching explained cache_control markers the two tier write premium and when it actually pays off how anthropic s prompt cache works mechanically the ephemeral cache_control marker the two tier write premium 1 25x for 5 min ttl 2x for 1 hour ttl the 90 read discount and the production patterns that capture the wedge anthropic claude prompt caching cache control llm cost optimization may 23 2026 10 min read three new ways to call prism cli mcp and sdks v1 8 ships a command line tool an mcp server for claude desktop cursor zed continue cline and first party python node sdks every operational surface cache settings routing policy budgets audit workspaces now scriptable from outside the web dashboard honest reporting on what shipped and what s gated ai api cli mcp sdk developer tools infrastructure may 22 2026 10 min read we added 5 providers and the router got smarter v1 7 a triples prism s model catalog from 7 models on 3 providers to 23 models on 8 providers all direct integrations routing table rewrite based on a 552 call benchmark suite the wedge in practice ai api providers routing benchmark developer tools infrastructure may 19 2026 6 min read the 50ms promise i made in v1 6 last week i shipped the edge layer and admitted i d promised 50ms cache hits but only delivered 300 500ms here s the follow up that closes the gap workers kv replication why it took one day not the two i d guessed and what the actual numbers look like ai api edge latency cloudflare workers kv developer tools may 18 2026 7 min read putting prism s front door on every continent v1 6 moves prism s auth and cache layer onto cloudflare s edge network international customers now get auth rejections and cache hits hundreds of milliseconds faster without changing how prism actually works honest reporting on what shipped and what s still gated on v1 6 5 ai api edge latency cloudflare developer tools infrastructure may 18 2026 6 min read how we route around a 20 minute anthropic outage provider outages should be a routing problem not a customer problem v1 5 ships redis backed rolling window health streaming aware failover and speculative parallel routing on sport mode ai api reliability failover developer tools production ai may 18 2026 7 min read how to stop your ai bill from surprising you budgets aren t about not spending they re about predictability policy isn t about restricting it s about consistency v1 4 ships routing rules monthly budget caps an audit log on the prism dashboard ai api budget governance policy developer tools production ai may 16 2026 5 min read what was that request exactly observability for the ai proxy layer caching tells you how much you saved observability tells you what just happened v1 3 ships request explorer per feature cost attribution latency histograms and feedback capture on the prism dashboard ai api observability developer tools monitoring production ai may 5 2026 6 min read your ai bill minus the ai you ve already paid for most ai traffic is repeated traffic the same prompts the same near duplicates the same system messages caching is the difference between paying once and paying every time here s the math the layers and where prism lands ai api caching cost optimization developer tools semantic cache apr 20 2026 5 min read mcp is a transport layer pretending to be a brain the mcp explosion gave agents access to hundreds of tools but nobody solved the coordination problem the result is infinite loops burned credits and a transport layer that everyone is treating like intelligence mcp ai developer tools api indie hacking apr 15 2026 4 min read the merging take is too early everyone is calling for ai coding tools to consolidate we are not in the merging phase we are in the explosion phase calling for consolidation right now is reading the cycle wrong ai developer tools market analysis indie hacking apr 10 2026 7 min read the hidden cost of stateless ai apis every ai api is stateless which means you resend the entire conversation on every call here s what that actually costs and why session memory matters more than you think ai api developer tools chatbots cost optimization apr 8 2026 7 min read there is no best ai model in 2026 and that s actually good news gpt 5 4 claude opus 4 6 and gemini 3 1 pro all dropped within weeks each is best at something different here s why that changes how you should build with ai ai llm developer tools model comparison subscribe via rss product pricing docs free signup dashboard faq resources guides compare glossary tools blog company about contact bengaluru india security privacy terms refunds social twitter github email 2026 ssimplifi built in bengaluru india built by ravi rikuq com