How do we stop employees pasting sensitive data into AI chats?

The extension and the desktop app check the text on the device and redact personal data and secrets before it is sent, under the policy your workspace sets.

How do we govern which AI models employees use?

Routing rules say which models may answer which requests - by data boundary, region, cost or team - and every request that broke a rule is in the audit trail.

Do people need training to use it?

No. The extension and the desktop app sit under the composer people already use and show the price and the pick; nothing changes in how they work.

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OpenSmartRoute

Blog

Results for “observability tools”

Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.

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All Models LLMs Agents Research AI

#agents 698 #ai 689 #news 651 #models 611 #llm 436 #research 330 #inference 290 #benchmark 114 #open-weights 109 #safety 82 #evaluation 79 #security 52 #automation 41 #reasoning 35 #aws 34 #benchmarks 32 #training 32 #optimization 31

LLMsOct 10, 20261 min read

Cloudflare Traces beta turns proxy into OpenTelemetry spans, adds volume pricing

Cloudflare launches Traces open beta, exposing every proxy step as OpenTelemetry spans and moving to volume‑based pricing for ingestion and storage.

From InfoQ: AI, ML and data engineering

LLMsSep 11, 20261 min read

Wrapture: Monkey Patching for Testing and Observability

Graham Dumpleton's wrapture package offers monkey patching capabilities for Python, supporting testing and observability with features like tracing and OpenTelemetry export. It's currently in alpha but offers a flexible approach without code modification.

From Simon Willison

How this blog is made

Every post is a routed request.

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace. Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run it yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.

Photo: Yan Krukau

For the business

What it does for the people who use AI all day.

A quote under the composer
The price before you send
The browser extension shows the cost and the router's pick on the AI sites your teams already use.
The extension
A trace with every answer
Every decision explained
Which model answered, why it won, what it cost and what the alternatives were - kept for the retention period you set.
Open a trace
Checks on the device
Safe AI at every desk
Personal data and secrets are flagged and redacted on the computer, before a message leaves it.

Results for “observability tools”

Cloudflare Traces beta turns proxy into OpenTelemetry spans, adds volume pricing

Wrapture: Monkey Patching for Testing and Observability

Every post is a routed request.

What it does for the people who use AI all day.

The price before you send

Every decision explained

Safe AI at every desk

LangSmith Homepage Redesign and Enhanced Resource Organization

Podium Reduces Engineering Time with LangSmith for Agent Testing