The AI gateway. One API for 600+ models, routed intelligently. Built for teams shipping AI to production.
- Tweets 249
- Following 98
- Followers 931
- Likes 180
Sensitive project data. Public-sector clients. 5 to 15 models.
LOUPZ points its AI chats, apps and agents at one European endpoint, router.eu.requesty.ai. Data goes to the US only when strictly required, and no app is tied to a provider.
requesty.ai/customers/loupz
2
101
Not every Claude Code call needs Opus.
Auto Routing, now in beta: describe the kinds of work your team does, point each one at a model, and Requesty makes the call on the first message.
8
8
60
763,769
We used it ourselves.
Our Claude Code sessions on Auto Routing: 42% cheaper and 30% faster than everything on Opus 5.5.
1
7
1,588
The part we care most about: the choice is pinned for the session.
The model never switches mid-task, so prompt caches keep working. If the classifier isn't sure, it falls back to the model you trust most.
Set up a policy: app.requesty.ai/routing-poli…
3
524
Last week Jev was the #1 model on Requesty by requests.
By tokens it was #12.
A decision model answers with a typed decision, not an essay, so a call uses ~12% of the tokens of an average LLM call.
Token leaderboards barely see them.
1
183
If your AI gateway guardrails are taking seconds to respond, you're adding a ridiculous amount of unnecessary latency to every single request.
And if you're running them in production, you're paying that price constantly.
Ours, 3–18 Oct:
4 ms median
15 ms p95
Just 23 ms p95 on 64k+ token prompts.
5
445
Your agent made 300 calls. One of them went wrong.
In a flat log, good luck.
Requesty rebuilds the run as one session: every prompt, reply and tool call in order, and any request open down to the token.
Replay a whole session: requesty.ai/product/observab…
1
1
6
267
Every Amber Notes meeting summary is an LLM call.
@amber_script put them all behind one Requesty integration:
> 40% lower AI cost per meeting
> 99.9% AI feature availability
> New models in minutes, not days
requesty.ai/customers/ambers…
1
159
Requesty is now a native provider plugin in Hermes Agent.
Add a fallback policy and when a provider goes down, your agent moves to the next model instead of stopping.
Change the chain in Requesty, not in your Hermes config.
docs.requesty.ai/integration…
2
7
352
Claude Code. Cursor. Codex. curl.
All on your API keys. Do you know which ones?
New in Requesty: see every agent on every key, catch leaked keys, kill them in one click.
→ app.requesty.ai/api-keys?vie…
2
1
2
168
Keys leak. Make a leaked key useless off your network.
New on Requesty: Allowed IPs.
List the IPv4 addresses and CIDR ranges that may call Requesty for your org.
Anything else is rejected, on every endpoint, and every change lands in the audit trail.
1
3
177
New @deepseek_ai v4.1 51% discounted on Requesty!
$0.098 / 1M tokens
$0.294 / 1M tokens
$0.003 cached / 1M tokens
1
2
146
A Jev decision through Requesty, median over the last 30 days:
Model: 241 ms
Requesty: 2.3 ms
That 2.3 ms is key auth, spend limits, approved-model and compliance checks, and rate limits. Under 1% of the request.
typesafe/jev-latest
2
154
Meta's Muse Spark Open is live on Requesty.
Open weights, 816B total / 42B active parameters, 1M context.
Meta built it for coding and long-horizon agentic work, and calls it the most capable US open-weight model to date.
model: muse-spark-open
Today we’re releasing Muse Spark Open, the most capable US open-weight model to date.
Built for coding and agentic work, it excels at long-horizon tasks, complex software engineering, and multi-step reasoning.
Key Model Specs:
→ 816B total / 42B active parameters
→ 1M token context window
→ Natively multimodal across text, image, video, audio
5
267
Small one, but you kept asking for it.
Top up by card in USD, GBP, EUR, JPY or CNY, or iDEAL in EUR. It lands in your USD balance at the rate shown in checkout.
Auto top-up charges your card in its own currency too.
1
103
Morning spikes pushed NotarBot past provider quotas, and 429s stalled live calls. Rotating regions split the prompt cache.
Now: one stable endpoint, higher-limit deployments, cross-provider failover. Cache hits on nearly every turn.
requesty.ai/customers/notarb…
91
Gemini 4 Argon from @GoogleDeepMind is live on Requesty.
Google's new frontier model for coding, enterprise knowledge work and cyber defense. 1M context, up to 1M output tokens, with vision, tools and caching.
Served globally and from the EU.
Gemini 4 Argon is now globally available.
Built to solve your hardest problems from start to finish, the model brings frontier capabilities across coding, enterprise workflows, and cyber defense.
1
136