🚀 Introducing Anam Agents
Build and deploy AI agents in Anam that can engage alongside you.With Anam Agents, your Personas can now interact with your applications, access your knowledge, and trigger workflows directly through natural conversation. This marks Anam’s evolution from conversational Personas to agentic Personas that think, decide, and execute.Knowledge Tools
Give your Personas access to your company’s knowledge. Upload docs to the Lab, and they’ll use semantic retrieval to integrate the right info.Docs for Knowledge Base
Client Tools
Personas can control your interface in real time—open checkout, display modals, navigate UI, and update state by voice.Docs for Client Tools
Webhook Tools
Connect your Personas to external APIs and services. Create tickets, fetch status, update records, or fetch live data.Docs for Webhook Tools
Intelligent Tool Selection
Each Persona’s LLM chooses tools based on intent—not scripts.You can create/manage tools on the Tools page in the Lab and attach them to any Persona from Build.Anam Agents are available in beta for all users: https://lab.anam.ai/loginLab Changes
Improvements- Cartesia Sonic-3 voices: the most expressive TTS model.
- Voice modal expanded: 50+ languages, voice samples, Cartesia TTS now default.
- Session reports work for custom LLMs.
- Prevented auto-logout when switching contexts.
- Fixed race conditions in cookie handling.
- Resolved legacy session token issues.
- Removed problematic voices.
- Corrected player/stream aspect ratios on mobile.
Persona Changes
Improvements- Deepgram Flux support for turn-taking (Deepgram Flux Details)
- Server-side optimization: reduced GIL contention and latency, faster connections.
- Bug-fix for dangling LiveKit connections.
Research
Improvements🛡️ Anam is now HIPAA compliant
A big milestone for our customers and partners. Anam now meets HIPAA requirements for handling protected health information.Learn more at the Anam Trust CenterLab Changes
Improvements- Enhanced voice selection: search by use case/conversational style, 50+ languages.
- Product tour update.
- Streamlined One-Shot avatar creation.
- Auto-generated Persona names based on selected avatar.
- Session start now 1.1s faster.
- Share links: fixed extra concurrency slot usage.
Persona Changes
Improvements- Improved TTS pronunciation via smarter text chunking.
- Traceability and monitoring for session IDs.
- Increased internal audio sampling rate to 24kHz.
- Increased max websocket size to 16Mb.
- Concurrency calculation now only considers sessions from last 2 hours.
- Less freezing for slower LLMs.
📊 Session Analytics
Once a conversation ends, how do you review what happened? To help you understand and improve your Persona’s performance, we’re launching Session Analytics in the Lab. Now you can access a detailed report for every conversation, complete with a full transcript, performance metrics, and AI-powered analysis.- Full Conversation Transcripts. Review every turn of a conversation with a complete, time-stamped transcript. See what the user said and how your Persona responded, making it easy to diagnose issues and identify successful interaction patterns.
- Detailed Analytics & Timeline. Alongside the transcript, a new Analytics tab provides key metrics grouped into “Transcript Metrics” (word count, turns) and “Processing Metrics” (e.g., LLM latency). A visual timeline charts the entire conversation, showing who spoke when and highlighting any technical warnings.
- AI-Powered Insights. For a deeper analysis, you can generate an AI-powered summary and review key insights. This feature, currently powered by gpt-5-mini, evaluates the conversation for highlights, adherence to the system prompt, and user interruption rates.
Lab Changes
Improvements- Improved Voice Discovery: The Voices page has been updated to be more searchable, allowing you to preview voices with a single click, and view new details like gender, TTS-model and language.
- Fixed share-link session bug: Fixed bug of share-link sessions taking an extra concurrency slot.
Persona Changes
Improvements- Small improvement to connection time: Tweaks to how we perform webrtc signalling which allows for slightly faster connection times (~900ms faster for p95 connection time).
- Improvement to output audio quality for poor connections: Enabled Opus in-band FEC to improve audio quality under packet loss.
- Small reduction in network latency: Optimisations have been made to our outbound media streams to reduce A/V jitter (and hence jitter buffer delay). Expected latency improvement is modest (<50ms).
- Fix for livekit sessions with slow TTS audio: Stabilizes LiveKit streaming by pacing output and duplicating frames during slowdowns to prevent underflow.
⚡ Intelligent LLM Routing for Faster Responses
The performance of LLM endpoints can be highly variable, with time-to-first-token latencies sometimes fluctuating by as much as 500ms from one day to the next depending on regional load. To solve this and ensure your personas respond as quickly and reliably as possible, we’ve rolled out a new intelligent routing system for LLM requests. This is active for both our turnkey customers and for customers using their own server-side Custom LLMs if they deploy multiple endpoints.This new system constantly monitors the health and performance of all configured LLM endpoints by sending lightweight probes at regular intervals. Using a time-aware moving average, it builds a real-time picture of network latency and processing speed for each endpoint. When a request is made, the system uses this data to calculate the optimal route, automatically shedding load from any overloaded or slow endpoints within a region.Lab Changes
Improvements- Generate one-shot avatars from text prompts: You can now generate one-shot avatars from text prompts within the lab, powered by Gemini’s new Nano Banana model. The one-shot creation flow has been redesigned for speed and ease-of-use, and is now available to all plans. Image upload and webcam avatars remain exclusive to Pro and Enterprise.
- Improved management of published embed widgets: Published embed widgets can now be configured and monitored from the lab at https://lab.anam.ai/personas/published.
Persona Changes
Improvements- Automatic failover to backup data centres: To ensure maximum uptime and reliability for our personas, we’ve implemented automatic failover to backup data centres.
- Prevent session crash on long user speech: Previously, unbroken user speech exceeding 30 seconds would trigger a transcription error and crash the session. We now automatically truncate continuous speech to 30 seconds, preventing sessions from failing in these rare cases.
- Allow configurable session lengths of up to 2 hours for Enterprise plans: We had a bug where sessions had a max timeout of 30 mins instead of 2 hours for enterprise plans. This has now been fixed.
- Resolved slow connection times caused by incorrect database region selection: An undocumented issue with our database provider led to incorrect region selection for our databases. Simply refreshing our credentials resolved the problem, resulting in a ~1s improvement in median connection times and ~3s faster p95 times. While our provider works on a permanent fix, we’re actively monitoring for any recurrence.
🔌 Embed Widget
Embed personas directly into your website with our new widget. Within the lab’s build page click Publish then generate your unique html snippet. This snippet will work in most common website builders, eg Wordpress.org or SquareSpace.For added security we recommend adding a whitelist with your domain url. This will lock down the persona to only work on your website. You can also cap the number of sessions or give the widget an expiration period.Lab Changes
Improvements- ONE-SHOT avatars available via API: Professional and Enterprise accounts can now create one-shot avatars via API. Docs here.
- Spend caps: It’s now possible to set a spend cap on your account. Available in profile settings.
Persona Changes
Fixes- Prevent Cartesia from timing out when using slow custom LLMs: We’ve added a safeguard to prevent Cartesia contexts from unexpectedly closing during pauses in text streaming. With slower llms or if there’s a break or slow-down in text being sent, your connection will now stay alive, ensuring smoother, uninterrupted interactions.