What we ship, when we

Conversation-flow agents in alpha, plus eleven new Indic voices.

A meaty release this month, the long-promised structured agent runtime is now in alpha, and the Sarvam Bulbul-v3 voice pack covers eleven Indic languages out of the box.

• NewConversation-flow agents (alpha), build multi-step structured flows alongside the single-prompt runtime.
• NewSarvam Bulbul-v3 added to the TTS provider list. Hindi, Tamil, Telugu, Bengali, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, Assamese.
• ImprovedSession viewer load time cut by 4× on workspaces with > 50k sessions.
• ImprovedOutbound call ringing now respects locale-specific DNC rules automatically.
• FixedWhatsApp message delivery delays during high-volume campaigns.
• FixedKB ingest occasionally double-counted PDF pages with embedded images.

MCP endpoint goes generally available.

After a quiet beta with a handful of design partners, the MCP endpoint is open to everyone. Connect Claude, Cursor, ChatGPT, or any MCP client and your sessions / KBs / campaigns become one prompt away.

• NewMCP endpoint at mcp.saaya.ai, read-only by default, RBAC-scoped per key.
• NewEight tools exposed: list_agents, get_agent, query_knowledge_base, list_sessions, get_session_transcript, get_session_summary, list_campaigns, get_campaign_status.
• NewBridge SDK published to npm (@saaya/mcp-bridge) for clients that prefer a local subprocess.
• ImprovedAPI rate-limit headers now match the conventions used by Stripe and Linear.
• FixedRace condition during agent rollback when a draft was promoted in the same second.

Strict-citation RAG, KB-gap analytics, and audit-log streaming.

• NewStrict-citation mode: agents refuse to answer when source confidence is below your threshold and escalate cleanly.
• NewKB-gap analytics, top unanswered questions ranked by frequency and severity.
• NewAudit-log streaming to S3, GCS, and Azure Blob.
• ImprovedKnowledge-base ingest now handles documents up to 1 GB without chunking the upload pipeline.
• ImprovedSentiment scoring switched to a fine-tuned model, accuracy up 14% on Indic-English code-mixed transcripts.
• BreakingThe deprecated `/v0/agents` namespace is removed. Migrate to `/v1/agents` (full migration guide in docs).

New campaign engine + WhatsApp-first cascades.

• NewRe-architected campaign engine, 3× more concurrent calls per worker pool, predictable retries.
• NewChannel cascades: try WhatsApp first, fall through to voice, end with email, all from one config.
• ImprovedLive ops dashboard now shows per-channel answer rate, sentiment distribution, and KB-hit ratio.
• FixedSome campaigns paused mid-run when the underlying number pool exhausted, now drains gracefully.

Saaya 2.0, multimodal agents in one config.

The big one. One agent definition, every channel, voice, video, chat, WhatsApp. The provider matrix lets you pick the LLM, STT, TTS, and avatar per call without rewriting your prompts.

• NewMultimodal agent runtime, voice, video, chat, WhatsApp from a single config.
• NewProvider-agnostic LLM, STT, TTS, and avatar layers. Switch in seconds; no lock-in.
• NewVersioning + rollback, every publish is a versioned snapshot, restore in one call.
• ImprovedSub-second cold starts thanks to the new Redis config cache.
• Breaking`agent.voice_id` flat field is replaced by `agent.voice = { provider, voice_id }`.
• DeprecatedThe legacy single-channel "Voice Bot" object is deprecated and will be removed in 2.5.0.

Smart escalation, sentiment-aware barge-in, and 200ms turn-taking.

• NewSmart escalation, agents hand off to a human queue based on sentiment, complexity, or explicit request.
• ImprovedTurn-taking latency cut to a 200ms barge-in median across LiveKit + Twilio paths.
• FixedTool-call retries occasionally double-fired when the underlying provider returned 5xx mid-stream.