Day0 support for Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS on LiteLLM See details for the promotional price: docs.litellm.ai/blog/gemini_…
We’re launching Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS ⚡️ Our most expressive audio models yet let you create custom voices across 100+ languages or pick from 2,000+ ready-to-use ones. You can direct back-and-forth conversations, guide the delivery line-by-line, and add natural cues like <laughs> or an active listening interjection like |mhm| all while generating hours of consistent, glitch-free audio. Sounds pretty cool, right? So… how should you use them? — Gemini 3.8 Flash TTS: Need to design bespoke vocal personas from scratch and with line-by-line level control? This is the model! Built for high-fidelity creative production like gaming, immersive audiobooks, and podcasts. — Gemini 3.8 Flash-Lite TTS: Want the AI to automatically adjust its tone and pacing on the fly for near real-time voice agents? This is your engine! Built for cost-efficient scale, high-volume dubbing, and bulk audio creation.
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Join LiteLLM for our monthly Town Hall! When: Thursday, September 24th from 7:30-8:30am PT. We’ll be discussing: - Stability roadmap and updates - Product and roadmap progress - Reliability and security - Open Q&A Register here: forms.gle/QDK1Fq5HqouGNG9Z6
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Day-0 support for GPT-6 Sol and GPT-6 Luna on LiteLLM Read more here: docs.litellm.ai/blog/gpt_6_s…
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Day 0 support for Claude Opus 5.5 on LiteLLM! - Performs at the level of Fable 5.1 - Around 30% faster and ~40% cheaper than Opus 5 per task More info: docs.litellm.ai/blog/claude_…
Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family. It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
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5x faster than Haiku at 96% lower cost @typesafeai
Thrilled to add JEV by TypeSafe as an AUTOROUTER CLASSIFIER on @LiteLLM In our testing, we see this being 5x faster than Haiku at 96% Lower Cost docs.litellm.ai/blog/jev-aut…
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Congrats @SpaceXAI! Day 0 support for Grok 4.7 on LiteLLM! Get started here: docs.litellm.ai/blog/grok_4_…
Grok 4.7 is here. It's a notable improvement over Grok 4.6 at the same price and speed.
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LiteLLM (YC W23) retweeted
If you’re building agents with @LiteLLM, I’d love to chat. I’m working on making the SDK better and want to hear what’s working, what’s frustrating, and what you wish it could do.
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We’re working on improving the LiteLLM SDK and would love to hear what could be better. We’re especially interested in chatting with people building agents using LiteLLM. If you’re up for a 30-minute chat with our team, grab a time here: calendly.com/d/dtr8-nnr-3yy/…
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LiteLLM (YC W23) retweeted
Jev is definitely insane! What if you could just point and build a website? Uses json-render @ctatedev @LiteLLM gateway to call Jev
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Jev by @typesafeai is supported on LiteLLM, and devs are already building amazing things with it. We're also using it internally at LiteLLM. Here is one use case: docs.litellm.ai/blog/typesaf…
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LiteLLM (YC W23) retweeted
Doc-OCR router using Jev @typesafeai A Jev-powered router that looks at a PDF page by page, decides which pages actually need OCR, extracts the rest locally. Result: save cost on # OCR pages + speed
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Support for Qwen3.8-Omni-Flash on LiteLLM! Text, image, audio, and video inputs supported. More info: docs.litellm.ai/blog/qwen3_8…
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LiteLLM OCR now runs on Rust by default in v1.102.0rc1. ~1.7x more OCR throughput on a CPU-bound proxy. Same API, no code changes. Join our beta testers community! Get some cool free stickers.
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LiteLLM (YC W23) retweeted
Thrilled to announce FUSE V2 for @LiteLLM AutoRouter Fuse V2 works by predicting which model is most likely to solve each task, efficiently + cheaply. In our SWE-bench testing, Fuse V2 solved 25/25 tasks while reducing cost per solved task. Read more: docs.litellm.ai/blog/auto-ro…
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Detect and get rid of AI slop using LiteLLM
anti-ai-slop: a 4 staged skill to remove any AI slop from your codex/cc writing. catches 41 different slop patterns: • ~120 ai words, ~100 phrases • em dashes, emoji bullets, title case headings • watermarks, negative parallelism, colon reveals, throat-clearing openers 4 gates: 1. sanitize invisible chars 2. remove common ai words/chars 3. an agent reviews original vs rewrite, loops back for failed reviews 4. optional: a parallel agent uses a different model to generate additional review + score Works with any of your AI agents.
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LiteLLM (YC W23) retweeted
4️⃣ new things @LiteLLM AutoRouter 👀 Tune to your production traffic with custom routing dimensions 💪 Auto-configure the best router for your available models 🚀 Per-model output limits to prevent truncated responses 🎉 Updated presets for the latest models
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