Documentation Index
Fetch the complete documentation index at: https://ekacare-mintlify-changelog-may2-april-monthly-1777856908.mintlify.app/llms.txt
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Under the Hood — April 2026
April was about turning the AI agent infrastructure we’ve been investing in into something production-grade — faster, more bounded, and easier to authenticate against — while continuing to harden the EMR, EkaScribe, and ABDM surfaces around it. We also opened up two pieces of internal IP to the wider community.AI agent infrastructure
The Echo Agent Kit’s MCP integration got the most substantial rework of the month. The old monolithic MCP cache was retired in favor of a split design: tool discovery and MCP sessions now live in separate caches, each with its own idle and absolute TTLs, LRU eviction on pool exhaustion, and concurrent cache-miss serialization to prevent duplicate discovery work. Tool cache keys are partitioned by configurable headers, anduser_session_id is now plumbed
through MCPTool.run via tool_context — so per-user sessions stay
correctly isolated even under load.We also put bounds on tool execution: MCP tool calls in the Echo Agent Kit
are now capped at a 10-second timeout, so a slow downstream tool can no
longer block an agent response indefinitely. Empty prompt variables are
handled gracefully too — optional placeholders no longer throw.On the MCP Server itself, we shipped OTP-based authentication for EMR
workspaces (with country code selection and UHID profile picking, all
mid-conversation), added a doctor discovery tool for EMR clinics, introduced
an interactive elicitation flow that lets agents confirm doctor availability
before booking, and made the MCP SDK fall back to the default EMR tool set
when a workspace has no explicit configuration — a meaningful resilience
improvement for new workspace onboarding. Profile creation in the MCP SDK
now requires a mobile number, ensuring downstream integrations always have
a contactable identifier.The MedAssist surface saw steady iteration too — a contextual popup tied to
conversation state, configurable onboarding nudges so partners can suppress
unsolicited prompts, a proper agent-ID resolution fix, file-upload
validation against an allow-list of supported types, and a responsive layout
pass that fixes overflow on screens under 360px and 767px wide. A
microphone regression was caught and reverted same-day.Reliability and SDK hardening
EkaScribe’s SDKs leveled up across all three runtimes. The Android SDK switched from AAC/MP4 to LAME-based MP3 encoding for more reliable chunk uploads, and its result polling now inspectsintegration, transcript,
and custom statuses inside templateResults instead of the legacy
output list — with empty statuses correctly treated as failures rather
than timing out. The iOS SDK now processes audio chunks in parallel,
cutting end-to-end transcription latency for longer recordings. The
JavaScript SDK gained createDocument, deleteDocument, and
getChunkTranscript for full programmatic document lifecycle control,
plus expanded polling parameters and a longer 20-second status API
timeout. EkaScribe iOS DocAssist also now surfaces voice-to-text failures
with a clear error state instead of silently dropping recordings.On the Android side, the document UI no longer crashes when PDF rendering
initializes before view layout constraints are available — view setup is
now properly gated. Medical Records Android validates oversized images
before upload, moves PDF URI resolution off the main thread, and the
Health Records SDK handles missing files during record processing
gracefully with improved MD5 checksum error handling.The Patient Directory TypeScript SDK got a forceApiSearch flag for
high-confidence lookups that need to bypass the local cache, and we
fixed a stale-cache edge case where partial cached state could surface
incorrect results.Platform and integrations
We extended the Patient Directory APIs with two new endpoints — retrieve a patient profile by username and update an EMR user profile — plus a GET endpoint to retrieve an EMR user by OID. Theextras field also got
documented restrictions (no nested lists, dictionaries with one level of
nesting, 16-character key limit, leading-underscore keys ignored) so
integrators can rely on consistent shape contracts. The eka-usage-sdk
shipped at v0.1.1 with a fixed test runner and the latest Kafka usage
metric event definitions, and the ABDM-related usage events were updated
to match current consent and linking flows.The Templar prescription engine saw a steady drumbeat of EMR-facing
improvements: clinic name on OPD slips; cleaner doctor name rendering on
IPD receipts and bills (using profile first/last name fields directly);
a show_signature flag plus cache-busting query parameters for S3-hosted
PDF assets; corrected ophthalmology table ordering; richer IPD admission
templates; an IPD admission TinyMCE preview fix; QR code repositioned
into the footer details for cleaner headers; a unit_display_name
fallback to name for cleaner unit labels; the addition of pachymetry,
Amsler grid, and contact lens examination tables; structured diet chart
sections in prescriptions; and a Total Paid / Amount Due summary on IPD
billing PDFs. OPD slips also got tags and a larger token font for
readability at the front desk.Open-sourcing internal IP
Two pieces of work landed in the open-source column. BODHI — two SNOMED-linked clinical knowledge graphs (bodhi-s for condition–symptom
mapping and bodhi-m for concept–drug–lab investigation mapping, with
9,300+ nodes and 16,700+ relationships across six interchange formats)
— is now publicly available under CC BY-NC 4.0 for symptom checking,
differential diagnosis, and patient health profiling use cases. And the
ABDM ECDH key-exchange primitives we use internally for secure
consent and data-fetch flows are now distributable as a Python package,
so partners can integrate ABDM-aligned encryption helpers without
re-implementing the protocol.Developer experience
The EkaScribe documentation got a substantial revamp: a new Quick Start guide walks integrators through installing the TypeScript SDK and transcribing a first consultation in minutes; SDKs are now promoted as the recommended integration path with REST APIs second and Chrome Extension third; v1 APIs are clearly marked deprecated with migration pointers to v2; and SDK sidebar titles use proper casing. The result is a faster, less ambiguous path from “first time visiting the docs” to a working transcription.What’s next
In May, we’re focused on continuing to extend the Echo Agent Kit (audio transcription, lazy-loaded skills, and Postgres-backed tools have already started landing in early May), expanding doctor and patient directory APIs further, and tightening the production posture of the MCP Server’s caching and authentication paths.Under the Hood — March 2026
March was about making AI agents more capable and more connected. We expanded what agents can do — from booking appointments to managing ABHA profiles — while investing in the developer experience to make sure integrators can connect, authenticate, and build quickly.Product highlights
- ABHA login and profile management via MCP — AI agents can now handle full ABHA workflows (login, OTP verification, profile selection, card retrieval) during a conversation, no manual steps needed. View changelog
- Vaccination and appointment reminder webhooks — New webhook endpoints for vaccination reminders, appointment reminders, and follow-up variants let integrations react to scheduling events in real time.
- Follow-up appointment confirmation API — A new endpoint to programmatically confirm follow-up appointments, removing the need for manual intervention.
- Ophthalmology data in prescription PDFs — Prescription PDFs now include pachymetry, Amsler grid, and contact lens examination tables, rounding out ophthalmology support across the platform.
- IPD billing PDF generation — Clinics can now generate inpatient billing documents as structured PDFs with itemized charges and pricing summaries.
AI agent infrastructure
March saw sustained investment in the Eka MCP Server — the core interface between AI assistants and the Eka healthcare platform.We added five new tools this month: appointment rescheduling, patient benefits lookup, ABHA login and profile management, and doctor discovery with metadata forwarding. Each tool follows the authenticated remote MCP specification, so any compatible AI client can use them without custom integration work.Authentication got more flexible too. The MCP Server now supports email-based verification alongside mobile, and tools can prompt for credentials mid-conversation through elicitation — meaning the user never has to leave their AI client to authenticate.On the developer experience side, we restructured the MCP documentation into separate Remote and Local SDK guides, published the server on Smithery for easier discovery, and added comparison tables so developers can choose the right deployment model in seconds.SDK and integration tooling
The EkaScribe Android SDK shipped Architecture V2 (v4.0.4) with Java support, session cancellation, and idempotent state management — a significant reliability improvement for integrators running the SDK in production. The JS SDK received error tracking improvements, header handling fixes, and ES6 build support.The Echo Agent Kit gained_meta field support and improved elicitation
handling, aligning it with the latest MCP specification. The Pagify SDK cleaned
up iframe lifecycle management to prevent lingering embedded views.On the mobile side, MedAssist on iOS now handles app backgrounding gracefully
— sessions reconnect automatically — and error messages are surfaced clearly
instead of failing silently. Suggestion chips, message bubbles, and file upload
handling were all refined.