Agent Platform Updates & Release Notes

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41 updates curated from 1 source by the Releasebot Team. Last updated: Oct 11, 2026

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  • Oct 7, 2026
    • Date parsed from source:
      Oct 7, 2026
    • First seen by Releasebot:
      Oct 11, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.7.3 October 7, 2026

    Agent Platform adds richer multi-intent handling, clearer tool confirmations, model-context support for tool responses, and better project import model preservation. It also improves web crawling, voice fillers, Gemini turn recovery, and wider dashboard tables.

    Agent builder experience

    Configuring multi-intent request completion

    Two new settings for managing multi-intent interactions have been added to Runtime Config:

    • When a request is finished: Determines whether a request ends when the agent replies or only when the agent confirms it is done, so follow-up questions no longer move the conversation to the next request too early
    • Capturing every request in one routing decision: The supervisor lists all of the customer’s requests at once, so a second request isn’t lost when the model routes only one.

    Auto strategy no longer runs requests in parallel

    The auto multi-intent strategy now handles independent and dependent requests one after another, and asks the customer to choose when the requests are ambiguous. To run independent requests at the same time, set the strategy to parallel.

    Clearer tool confirmation questions

    When a tool call needs approval, the customer now sees a plain question built from the tool’s consent action and readable parameter labels, such as the account and amount. Sensitive values are masked, tool names and internal instructions are never shown, and you can change the wording in the agent’s MESSAGES block.

    Model context for tool-hook responses

    A tool’s on_result or on_error do: action can now include a short MODEL_CONTEXT beside its RESPOND. The customer still gets the full response, while later model calls see only your summary, keeping large responses out of the model’s own conversation context.

    Project imports keep model selections

    Project exports now include the project’s selected models. When you import the project or install it as a template, those models are linked, and the archive’s default model is applied. The import preview lists which models will be linked, and imported search pipelines keep their custom embedding model.

    Knowledge base

    Web crawler works with more protected sites

    When a site answers the crawler with a browser challenge page, the crawler now retries with a browser profile. Sitemap crawls also keep your robots.txt setting, and recrawls keep their original settings.

    Voice experience

    Pre-written fillers continue long waits

    On voice, the configured static filler pool now continues a long wait after the AI-generated lines run out, up to the per-turn limit, so callers no longer hear silence after the first filler. Custom filler prompts can produce up to three lines, the same as the built-in prompt, and a phrase is never repeated in one turn. Runtime Config shows an instruction you can copy into a custom prompt to get more than one line.

    Recover unanswered Gemini caller turns

    Gemini realtime channels have a new Recover unanswered caller turns only switch under Silent-turn recovery. When Gemini hears the caller but doesn’t answer within eight seconds, the platform restarts the session with the caller’s words. It doesn’t re-prompt after tool results.

    Insights

    Wider table widgets in custom dashboards

    Table and detail widgets in custom dashboards can now save up to 200 columns, up from 20, so wide SQL results no longer need to be split across widgets.

    Original source
  • Oct 1, 2026
    • Date parsed from source:
      Oct 1, 2026
    • First seen by Releasebot:
      Oct 7, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.7.2 October 1, 2026

    Agent Platform adds major upgrades across agent building, voice, connectors, and governance, including tighter tool-result control, safer retry behavior, bulk delete filtering, Oracle Database and FAQ connectors, richer voice transcription and fillers, and payload encryption for public analytics APIs.

    Agent builder experience

    Control what the model sees from tool results

    You can now decide how much of each tool result the model keeps in the conversation: the full result, selected fields only, or a short summary built from a template. Flow steps and completions also accept a note describing what the customer received, for later reasoning. The customer-facing response doesn’t change, and large tool payloads no longer crowd out the rest of the conversation history.

    Idempotency header for HTTP tools is now opt-in

    HTTP tools no longer send an idempotency header on every call by default, which resolves errors from providers such as Salesforce that reject unsupported headers. If your provider supports idempotency, such as Stripe, Adyen, or PayPal, enter its header name in the new Idempotency Header field in the tool’s resilience settings. The platform still protects retried calls from running twice.

    Filtered bulk delete in Agent Tables

    Agent Tables can now delete many rows at once by filtering on any column, not only a unique key. Grant the new bulk delete operation on a table tool, run

    DELETE ... WHERE
    

    in the query console, or use the API. A configurable row limit of up to 10,000 rows guards against accidental large deletes.

    Duplicate-run protection for workflow and MCP tools

    Workflow and MCP tools are now treated as having side effects unless you mark them otherwise, so retried calls no longer run the same operation twice. As a result, confirmation policies that apply to side-effecting tools now cover these tools too.

    Clearer deployment preflight errors

    Deployment checks now follow the same model rules as the runtime, so agents that work in testing no longer fail deployment with unexpected errors. When there is a real problem, the message names the agent and points you to the setting to fix, instead of showing a generic error count.

    Oracle Database connector

    Agents and workflows can now connect to Oracle Database 12.1 and later. Supported actions are Run Custom SQL, Insert Row, Insert Rows, Update Row, Delete Row, and Find Row, with results returned 500 rows at a time. Set up the connection with an auth profile, then use it from tools and workflows.

    Knowledge base

    FAQ connector

    Knowledge bases can now ingest FAQ content through a dedicated FAQ connector. Upload question-and-answer pairs as a JSON or CSV file, or add them manually in a guided wizard that detects fields for you. You can exclude fields from indexing and split list values into separate entries. FAQ answers are also tuned so exact question matches rank well.

    Voice experience

    Caller transcription settings for speech-to-speech channels

    OpenAI and Gemini speech-to-speech channels now include a Caller Transcription section where you can choose the transcriber, set the language callers speak, and list words to expect, such as brand names. Setting the caller language stops the model from guessing it on every turn, which could otherwise switch English speech into another script.

    Continuous filler updates during long waits

    Voice agents now prepare several filler lines at once: an opener, then timed progress updates spaced by a configurable follow-up gap after each line finishes. Callers hear steady updates during long lookups, instead of one filler followed by silence. Fillers follow the conversation’s language, and you can set a default or override language in Runtime Configuration.

    Voice safeguards are now opt-in

    The voice grounding guards, built-in guardrail bindings, and realtime channel defaults introduced in v1.7.0 are now off by default, so existing agents keep their previous behavior. You can enable them per agent with new execution settings. Realtime channels also gain an Advanced voice behavior section, with options such as which caller wording the agent acts on.

    Step-level no-input prompts

    Voice flow steps can now have their own prompts for when the caller stays silent, instead of sharing one agent-wide sequence. For example, a greeting step and a payment step can each respond to silence in a way that fits the moment.

    Localized secure input prompts and tool arguments

    Secure input prompts and tool call arguments can now use entries from your locale catalog, following the caller’s language with the usual fallback order. If a translation is missing, the flow receives a clear result it can handle, instead of raw template text.

    More reliable tool calls on Gemini Live

    Gemini Live agents no longer stall or lose tool results when the provider restarts its session mid-turn. If Gemini cancels a tool call and asks for it again after the caller speaks, the platform reuses the call already running, avoiding duplicate actions such as a repeated booking.

    Governance

    Payload encryption for public analytics APIs

    Platform keys used with the Sessions, Conversations, LLM Logs, and Traces APIs can now encrypt request and response payloads. Turn on request encryption to get a key for encrypting what you send, and add your RSA public key to receive encrypted responses in a standard JWE envelope. The new Payload encryption section is in the platform key settings, and existing keys continue to work unchanged.

    Original source
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  • Sep 29, 2026
    • Date parsed from source:
      Sep 29, 2026
    • First seen by Releasebot:
      Oct 2, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.7.1 September 29, 2026

    Agent Platform adds broader Agent Tables access across all deployments, improves voice handling with clearer background audio, outbound caller identity, transcript coverage, Gemini Live tool scheduling defaults, and runtime secret context support for workflow tools.

    Agent builder experience

    Agent Tables on non-production deployments

    Agent Tables can now be used from deployments in every environment, not only production. All deployment environments currently read and write the same production rows; per-environment table data is not yet available.

    Voice experience

    Background audio behavior with barge-in disabled

    Background audio settings on Pipeline Voice channels now indicate when the audio actually plays. Between-sentence background audio requires barge-in to be enabled on the channel and a streaming text-to-speech voice. When barge-in is disabled, background audio plays only before the agent starts responding, because the reply is spoken as one continuous block with no gaps between sentences.

    Caller identity on outbound calls

    On outbound calls, the customer is now identified by the number the platform dialed, so contact, memory, and conversation history are attributed to the right person.

    Emotech hotwords and Deepgram custom vocabulary controls

    Custom vocabulary controls on voice channels now adapt to the speech provider you select:

    • Emotech channels: add a Hotword Weight field that applies to every hotword in the list, with a recommended range of 5–10. Clearing the list turns hotwords off.
    • Deepgram channels: show the vocabulary limit inline (up to 100 words) and warn when a saved phrase contains a comma, since the voice gateway splits comma-separated text into separate words.

    Agent-spoken messages in the conversation transcript

    Messages the agent speaks outside a normal turn — handoff announcements, no-input prompts, and farewell messages — now appear in both the transcript and the Conversation view. Previously, these reached the caller but were missing from the transcript, making voice sessions harder to review and audit.

    Tool response scheduling default for Gemini Live

    The Tool response scheduling setting on Google Gemini Live realtime channels now defaults to When idle, so the model finishes its current response before processing a tool’s final result. Progress updates for a pending tool call and native filler audio now always wait until Gemini is idle — regardless of this setting — so they no longer interrupt a response that’s already underway. Channels that relied on the previous immediate-response behavior can switch to Interrupt to restore it.

    Governance

    Runtime secret context for workflow tools

    Workflow tools can now resolve secret references from the runtime secret context, as HTTP tools already do. The tool retrieves the credential at call time, and the secret value never enters the model prompt, execution logs, or traces — so it’s never exposed to the agent or persisted anywhere.

    Original source
  • Sep 27, 2026
    • Date parsed from source:
      Sep 27, 2026
    • First seen by Releasebot:
      Oct 1, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.7.0 September 27, 2026

    Agent Platform adds bigger eval suites, unified human tasks, smarter routing, and stronger realtime orchestration, while expanding voice with secure DTMF, Nova Sonic support, configurable fillers, and better recovery. It also improves knowledge base import/export, logging, and cloud auth.

    Agent builder experience

    Higher scenario and persona limits for evaluation suites

    Evaluation suites can now include up to 500 scenarios and 10 personas, up from 3 and 3, letting you cover far more conversation paths in a single suite. The evaluator limit stays at 12 per suite, and suites generated automatically with Arch still start at 3 scenarios and 3 personas by default.

    Unified human task handling

    Process workflows can now handle approvals and data collection through a single Human Task node. It pauses the workflow, notifies assignees, and can collect structured data through a reusable Form before resuming based on the selected outcome. You can define SLAs, configure reminders and escalation steps, and specify how to handle SLA breaches. Forms can be created once as reusable, project-level assets and used across workflows. This gives process workflows a simpler way to manage human decisions, data collection, and task deadlines while reducing duplicate form creation.

    Scenario-level session variables in Evals

    Evaluation scenarios can now define their own session variables, not just personas. When a scenario and a persona share a variable, the scenario’s value wins by default, unless the persona marks that key as priority, in which case the persona’s value is kept. This lets you test the same persona across different contexts without cloning it for each one.

    Conditional routing in ESCALATE blocks

    ESCALATE routing can now be an ordered list of destinations, each guarded by a condition such as channel or language and evaluated in order, with a required default as the last entry. Previously, routing to different destinations per channel — for example, a voice transfer versus a digital handoff — required duplicating the entire agent. Now, one agent can express both.

    Runtime-Guard for realtime orchestration

    A new Runtime-Guard mode lets a realtime model stay in control of the conversation, proposing actions and extracting values naturally, while the runtime validates every context write and business action against the active flow step, and rejects anything invalid, stale, duplicate, or out of order. This keeps realtime conversations flexible without giving up control over side effects; the stricter runtime-owned mode remains available where it’s still needed.

    Knowledge base

    Knowledge base included in import/export

    Project export now includes each knowledge base’s configurations, including source configurations and pipeline stages, instead of just an empty tool shell pointing at a missing index. On import, the knowledge base, its search index, and its sources are provisioned automatically, and the knowledge base tool is reconnected to the new index.

    Voice experience

    PCI-compliant secure DTMF input with voice channel suppression

    Flow authors can now collect sensitive DTMF input, such as credit card numbers, while fully suppressing the voice channel: no speech reaches ASR models and no audio is captured in call recordings during collection.

    Amazon Nova Sonic (S2S) support via Bedrock

    Amazon Nova Sonic is now available as a realtime speech-to-speech voice provider via AWS Bedrock, alongside the existing OpenAI and Gemini Live options, with barge-in and live transcription support.

    Configurable static filler messages per language

    Static filler messages played during voice processing pauses can now be added or updated per language directly from Studio’s Runtime Configuration panel, with no platform deployment required.

    Call-status reason fields for unanswered outbound calls

    Agents and campaign workflows can now branch on why an outbound call ended — busy, no answer, network timeout — instead of only knowing that it failed.

    Low-latency customer-service voice profile

    Voice projects can now apply a low-latency profile tuned for customer-service calls, using faster model tiers and disabled reasoning by default, in exchange for quicker responses. Studio flags when a project’s settings deviate from the recommended values and lets you apply them individually or all at once.

    Voice channel recovery on LLM and tool failures

    The platform now classifies voice and tool failures into specific recovery codes, such as an LLM timeout, an unavailable tool, or a provider disconnect, instead of collapsing everything into a generic failure, with configurable retry and fallback behavior per channel. When a tool call is running slowly, the runtime can also generate a response speculatively, so the caller hears something sooner instead of dead air.

    Insights

    Credential attribution in LLM logs

    LLM Logs now record which credential or auth profile served each model call, so you can attribute token and cost consumption to a specific source rather than just a project or model. This includes distinguishing two credentials that share a display name across projects.

    Governance

    Improved AWS KMS BYOK support

    AWS KMS bring-your-own-key configurations now support AssumeRole authentication, matching the structured setup Azure KMS already had, and no longer silently fall back to the platform’s own AWS credentials if a tenant’s are incomplete.

    Auto-accept workspace invites option for SSO

    Workspace admins can now enable automatic invite acceptance for SSO sign-ins, so a user invited to a workspace no longer hits an authentication error if they log in through their identity provider before separately accepting the invite. The option is configurable per workspace under SSO Settings.

    GCP Workload Identity Federation support

    GCP Workload Identity Federation is now supported for LLM and voice credentials, letting projects with a no-static-keys security policy authenticate to Gemini and Vertex AI, including Gemini Live for voice, without a long-lived service-account key file.

    Original source
  • Sep 22, 2026
    • Date parsed from source:
      Sep 22, 2026
    • First seen by Releasebot:
      Sep 26, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.6.5 September 22, 2026

    Agent Platform adds PDF formula extraction for knowledge bases, new SharePoint connector quick actions and permission-aware search, and configurable context-window compression for Gemini Live voice chats, improving retrieval, connector management, and long-conversation context handling.

    Knowledge base

    PDF formula extraction

    Knowledge bases can now extract mathematical formulas from PDF documents. Previously, formulas weren’t recognized as either text or images during extraction, so they were left out of the indexed content. They’re now captured along with the rest of the document. This is enabled by default for newly created knowledge bases, improving retrieval quality for technical and scientific content. Existing knowledge bases keep their current extraction configuration.

    SharePoint connector: quick actions and permission-aware search

    The SharePoint connector’s overview screen in Studio now includes a Quick Actions bar for Sync, Pause, Resume, Edit Config, Re-Auth, Health Check, and Search, all directly from the connector overview.

    Voice experience

    Gemini Live: configurable context-window compression

    For long voice conversations on Gemini Live, you can now configure context-window compression directly from the channel’s configuration panel in Studio — turn compression on or off, set the token count at which it triggers, and the token count it compresses down to. This helps longer conversations retain relevant context without hitting the model’s context limit.

    Original source
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  • Sep 18, 2026
    • Date parsed from source:
      Sep 18, 2026
    • First seen by Releasebot:
      Sep 23, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.6.4 September 18, 2026

    Agent Platform expands voice, language, and governance capabilities with lifecycle event improvements, language-aware routing and mid-call switching, dynamic Agent Assist welcome messages, configurable transcript grouping, Gemini 3.8 Live support, and deployment lifecycle audits.

    Patch release

    This update includes:

    Voice experience

    Contact Centre lifecycle events from CCAI

    The platform now derives Contact Centre lifecycle events (agent connected, agent disconnected, ACW completed) from CCAI’s conversation_info payload, removing the need for explicitly pushed event entries. Canonical transfer_initiated events are now emitted for voice SIP transfers. The dispositionCode and wrapUpNotes field mapping has been corrected, and close events now include queue and assignment fields.

    Language-based voice channel routing

    Callers can now select their preferred language at the start of a call (via DTMF, e.g., press 1 for English, 2 for Spanish) and are routed to a language-specific voice channel with matching ASR/TTS settings. The selected language is retained for the entire session, preventing the agent from unexpectedly switching between languages mid-conversation.

    Runtime-driven dynamic language switching

    Callers can now switch languages mid-conversation with a simple spoken request (e.g., “continue in French” or “speak Greek”), instead of only selecting a language once at the start of the call. Runtime validates and owns the language state, so switches only happen on clear, explicit requests — casual mentions like “I have a French account” won’t trigger a change. The selected language is preserved consistently across handoffs, reconnects, and session resumption, and voice fillers (e.g., “one moment”) now play back in the caller’s active language instead of defaulting to English. This also extends language-consistency support to Gemini-based realtime voice sessions, alongside the existing pipeline voice channels.

    Dynamic Welcome Messages for Agent Assist

    The Kore Agent Assist channel now renders templated ON_START welcome messages using live session data. By initializing the session and running ON_START setup routines (SET, CALL) upfront, the platform ensures authored responses populate with real values. Static welcome message configurations for agents remain fully supported and unaffected.

    Transcript grouping timeout

    Flow authors can now configure a transcript grouping timeout, controlling how long the platform waits before grouping transcript segments into a single turn.

    Gemini 3.8 Live voice model support

    Gemini 3.8 Live is now available as a realtime voice model option.

    Governance

    Deployment lifecycle audits

    Studio now surfaces deployment lifecycle audits, giving visibility into the deployment process for governance and compliance. Deployment audit metadata now includes additional context, and catalog compatibility is preserved across audit entries.

    Original source
  • Sep 14, 2026
    • Date parsed from source:
      Sep 14, 2026
    • First seen by Releasebot:
      Sep 18, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.6.3 September 14, 2026

    Agent Platform adds comment-only survey templates and simpler follow-up rules in Studio, plus per-turn TTS delivery protection for voice responses. Authors can now collect comments without ratings and stream important spoken messages more reliably.

    Agent builder experience

    Comment-only survey templates and simplified follow-up rules

    Feedback templates in Studio can now be authored without a numeric rating, so you can collect comments on their own. Per-rating follow-up questions can also inherit their visibility rule from the survey’s primary control, instead of being configured separately.

    Voice experience

    Per-turn TTS delivery policy for protected voice responses

    Flow authors can now configure the STREAMING delivery mode for voice responses, alongside the existing barge_in control. This lets authors protect important spoken responses — such as compliance disclosures or handoff completion messages — from being interrupted, truncated, or affected by tool calls, reconnects, or mid-call capability changes.

    Learn more →

    Original source
  • Sep 12, 2026
    • Date parsed from source:
      Sep 12, 2026
    • First seen by Releasebot:
      Sep 18, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.6.2 September 12, 2026

    Agent Platform adds richer voice and survey experiences with Amazon Nova Sonic and Vertex AI Gemini Live support, multilingual voice profiles, post-transfer CSAT surveys, improved GCP auth, Gemini Live JSON tool results with filler audio, and a warning for imported model selection.

    Voice experience

    Amazon Nova Sonic speech-to-speech voice

    Voice channels can now use Amazon Nova Sonic, a speech-to-speech (S2S) model served through AWS Bedrock, as a realtime voice provider. Configure it in Studio’s Voice Services page, using either access-key or IAM-role-based authentication.

    Vertex AI Gemini Live for realtime voice

    Realtime LLM voice channels can now be powered by Vertex AI’s Gemini Live models, in addition to the direct Google Gemini Live provider. Model resolution and credential handling for Vertex use the same Voice Services configuration flow as other realtime providers.

    Native multilingual voice profiles

    Voice channels now support per-language voice profiles: each supported interaction language can have its own ASR and TTS provider and voice selection, with the voice runtime handling automatic cutover and fallback.

    Learn more →

    Voice CSAT survey on the return leg

    Voice transfers over SIP now support a post-agent CSAT survey played back on the call’s return leg after a human agent completes the interaction, using a reserved x-callee-number SIP header to identify the transfer target.

    GCP authentication for Vertex AI and Gemini

    Auth profiles for Vertex AI and Gemini now support:

    • Google Cloud Workload Identity Federation (WIF): Authenticate without long-lived service-account keys.
    • GCP service-account authentication: Configure Vertex AI auth profiles with an uploaded GCP service-account key and test the connection.

    Gemini Live JSON tool results and non-blocking tool fillers

    Gemini Live channels now return tool results in JSON mode and can play non-blocking filler audio while a tool call is still in progress, reducing dead air during longer tool executions.

    Warning on imported model selection

    Studio now warns when a project selects an imported model that may not be fully compatible with the current configuration, so teams can catch mismatches before deployment.

    Digital experience

    Post-transfer CSAT survey

    After an agent-to-agent transfer, the Web SDK can now present an end-of-transfer CSAT survey to the user, with responses captured through a new webhook survey resolver.

    Original source
  • Sep 8, 2026
    • Date parsed from source:
      Sep 8, 2026
    • First seen by Releasebot:
      Sep 18, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.6.1 September 8, 2026

    Agent Platform adds governance visibility and realtime health monitoring for voice models across projects.

    Governance

    Realtime model visibility and health monitoring

    Workspace administrators now have clearer visibility into which models are available for realtime voice interactions across projects. The platform also continuously verifies realtime model connectivity through an internal health-monitoring service, helping ensure configured realtime models are available for voice use.

    Original source
  • Sep 8, 2026
    • Date parsed from source:
      Sep 8, 2026
    • First seen by Releasebot:
      Sep 12, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.6.0 September 8, 2026

    Agent Platform adds major updates across agent building, workflow monitoring, voice, analytics, governance, and integrations, including per-server MCP rate limits, better editor diagnostics, versioned workflows, richer voice controls, scheduled web crawls, and new security and admin tools.

    Agent builder experience

    Per-server rate limits for MCP tools

    Rate limits can now be configured per MCP server, with Studio controls to set the limit and automatic enforcement across tenants, so one server’s traffic can’t overwhelm the rest.

    Automatic indentation validation and repair in the ABL editor

    The ABL editor now detects indentation problems as you write and offers an auto-fix, with clearer diagnostics when something can’t be repaired automatically.

    Link eval suites to a version, deployment, or environment

    Eval suites can now run against a specific project version, deployment, or environment. This helps teams determine whether a score change came from a project edit or another change, and evaluate what is actually deployed.

    Workflow versions, settings, and a redesigned monitor experience

    Workflows now support versioning and a dedicated settings tab, alongside a redesigned monitor experience in Studio with clearer run detail, timeline, status, outcomes, and payload views.

    Learn more →

    Customize webhook trigger request and response formats

    You can now customize the structure of webhook trigger requests and responses. Use the default format or define a custom format for the request payload the workflow receives and the response payload it returns.

    Learn more →

    See why an agent isn’t ready to run

    Studio now surfaces structured readiness diagnostics before a chat starts, explaining what’s blocking execution — such as a validation issue or incomplete topology — instead of only failing at runtime.

    Higher-fidelity execution token budget alerts

    Studio’s debug panel now warns when a run’s execution approaches its token budget, with the limit enforced consistently from the compiler through the core parser — so you catch runaway prompts during testing instead of in production.

    Redesigned architecture review experience

    The Arch AI architecture review now shows staged review progress as it works, clearer proposal summaries, and suggested next steps once you create a review — making it easier to follow what Arch AI checked and what to do next.

    Import and export projects using a public API

    Projects can now be imported and exported using a public API authenticated with a platform key and processed asynchronously. This helps external systems and pipelines move projects across deployments without using the Studio.

    Improved model resolution

    Model resolution now supports non-reasoning models for named-entity recognition tasks, with additional provider options and an improved resolver for query-time model selection.

    Knowledge base

    Scheduled web crawls for SearchAI

    SearchAI can now crawl configured websites on a recurring schedule, not just on demand, with a Studio panel to set up and manage crawl schedules.

    Exact SharePoint site targeting

    The SharePoint connector for SearchAI lets you scope to specific sites via SharePoint’s ‘Sites.Selected’ permissions, featuring a Studio interface for direct site selection rather than requiring broader site-collection access.

    Voice experience

    Richer handoff context for ServiceNow, Five9, and Salesforce agent transfers

    Agent transfers now resolve handoff metadata at runtime and project it into SIP headers for ServiceNow, with matching adapter support for Five9 and Salesforce, so more conversation context reaches the receiving system.

    SIP termination URI support for BYOC voice channels

    Bring-your-own-carrier voice channels can now be configured with a SIP termination URI, including provisioning and cleanup handled from Studio.

    Author realtime voice delivery policy directly in Studio

    Studio now lets you author the delivery policy for realtime voice sessions — controlling how responses are delivered as the conversation happens — directly in the agent editor, instead of only through the underlying ABL definition.

    Reference SIP data in voice transfer destinations

    Voice call transfer destinations can now include {{sip.}} placeholders that resolve to SIP data at runtime, with validation to make sure only the permitted values are forwarded.

    Learn more →

    Scoped barge-in control for voice interruptions

    Barge-in behavior (whether a caller can interrupt the agent mid-response) can now be scoped to an individual step or flow instead of only a project-wide setting, giving you finer control over which parts of a voice agent are interruptible.

    Outbound dialing from voice agents

    Voice agents can now place outbound calls, not just receive them, using a new public API that triggers a call on demand over telephone or SIP through a configured voice channel. Each call is tracked with an ID and logged for later review.

    Support for phone numbers with a leading plus sign

    BYOC voice channels now accept E.164 phone numbers with a leading plus sign by default, closing a gap where such numbers could be rejected.

    Choose an OpenAI speech-to-text model for voice channels

    Voice channel configuration now lets you select which OpenAI speech-to-text model to use, in addition to the existing provider options.

    Bring your own custom speech provider

    Tenants can now register and use their own custom speech provider for voice channels, alongside the platform’s built-in speech provider options.

    On-premises Deepgram support for voice channels

    Voice channels can now connect to an on-premises Deepgram deployment using shared gateway speech credentials, instead of only Deepgram’s cloud endpoint.

    Connect greeting audio now plays by default

    You can now upload and manage the greeting audio callers hear when a voice channel connects, with a preview before publishing and a public playback API for retrieving it. New deployments now play a connection greeting by default, rather than requiring you to enable it.

    Filler noise for more natural-sounding voice agents

    Voice agents can now play configurable filler noise, such as ambient background sound, with its own playback settings, so pauses feel less abrupt.

    Digital experience

    Verified user identity for Slack channel connections

    Slack channel connections can now enforce a policy requiring verified Slack user identity before a conversation proceeds, configurable from Studio.

    Improved async handoff for AI for Work channels

    AI for Work (AI4W) channel connections now support overriding activity visibility for streamed events, with an improved resumption service for conversations that hand off asynchronously.

    Consent support for omnichannel live sessions

    The embedded web SDK widget now supports collecting user consent during live, omnichannel sessions, improving the handoff experience across channels.

    New channel: Exchange Graph Direct email

    Email is now supported as a deployment channel through Microsoft Exchange Graph, with mailbox management, message erasure support for compliance, and a dedicated channel editor in Studio.

    Upload attachments without presigned URLs

    File attachments can now be uploaded as base64 content and delivered via a signed URL, giving developers an alternative to handling presigned URLs directly.

    Insights

    Full feedback survey templates

    Feedback surveys can now be built from templates with configurable scoring, condition rules, and localization, and viewed through a dedicated analytics dashboard. Surveys can also be collected by voice and accessed through a public API.

    PII controls for custom analytics dimensions

    Custom analytics dimensions can now be governed by PII policy, with enforcement applied wherever that data is written or displayed, plus a new Govern PII card in Studio to review policy status.

    Learn more →

    Custom date ranges for Sessions and Traces

    The Sessions and Traces pages now support a custom date range picker, matching the one already available on the Insights page.

    New session and KPI metrics

    Analytics now includes a unique-sessions metric with support for ungrouped aggregates, and workspace-level KPI weighting and error-rate calculations are now more accurate.

    More reliable session message ordering

    Session messages are now delivered in a durable, guaranteed order, with a fallback for degraded conditions and clearer mapping to LLM traces in Studio.

    Governance

    Workspace-level controls for model access

    Workspace administrators can now audit and enforce which AI models a tenant can use, with idempotent controls to manage model access consistently across a workspace.

    Smoother SSO invite and lockout recovery

    Pending workspace invites are now accepted automatically when a user signs in through SSO, instead of requiring a separate acceptance step, and memberships locked due to a lockout are automatically restored once the lockout expires.

    OAuth2 Resource Owner Password Credentials auth profile

    Auth profiles now support the OAuth2 Resource Owner Password Credentials grant type, available consistently across the runtime, compiler, and Studio, for integrations that need this flow instead of an authorization-code or client-credentials grant.

    External secrets via Azure Key Vault

    You can now connect an external Azure Key Vault as a secret source, with runtime routing to resolve secrets from it and a Studio UI to connect and browse available secrets, instead of storing every credential directly in the platform

    Guard against accidental encryption provider switches

    A new safeguard prevents accidentally switching between platform-managed and bring-your-own-key encryption for a workspace’s KMS configuration.

    DTMF input can now be classified as PII

    Keypad (DTMF) input during a voice session can now be explicitly classified as PII, with policy enforcement applied the same way it is for other PII types.

    Learn more →

    Organization-wide proxy egress

    Organizations can now configure a proxy for all outbound traffic across the runtime, Studio, compiler, and editor, with built-in connectivity testing, policy invalidation when settings change, rate limiting, and observability into proxy behavior.

    Original source
  • Sep 5, 2026
    • Date parsed from source:
      Sep 5, 2026
    • First seen by Releasebot:
      Aug 31, 2026
    • Modified by Releasebot:
      Sep 12, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.5.4 September 5, 2026

    Agent Platform fixes bugs and improves the platform.

    This release includes bug fixes and platform improvements.

    Original source
  • Aug 27, 2026
    • Date parsed from source:
      Aug 27, 2026
    • First seen by Releasebot:
      Aug 31, 2026
    • Modified by Releasebot:
      Sep 2, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.5.2 August 27, 2026

    Agent Platform adds base64 attachment support in Agent Builder and lets workflow Agent nodes use attachment IDs directly. The update also introduces short-lived signed delivery URLs that can be refreshed without re-uploading files, making attachment handling smoother and more flexible.

    Agent Builder Experience

    Support for Base64-encoded file attachments

    Alongside the existing multipart/form-data upload path, the platform now accepts Base64-encoded attachments in application/json requests, using filename, mimeType, and contentBase64. Successful uploads can return a short-lived signed delivery URL. If the delivery URL expires, you can request a new one without re-uploading the file.

    Workflow Agent node accepts attachment IDs

    The Agent node’s canvas attachments field now accepts attachment IDs directly, in addition to https URLs, so a workflow can hand an already-uploaded attachment to an agent node without re-hosting it as a URL first.

    Learn more →

    Original source
  • Aug 23, 2026
    • Date parsed from source:
      Aug 23, 2026
    • First seen by Releasebot:
      Aug 25, 2026
    • Modified by Releasebot:
      Aug 28, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.5.0 August 23, 2026

    Agent Platform releases broad updates across agent building, voice, digital experiences, insights, governance, and security, adding a customer-facing CLI, expanded model support, recurring evals, richer Studio help, new voice transfer and testing tools, stronger analytics, and improved connector and compliance options.

    Agent Builder Experience

    Artemis CLI

    A new customer-facing CLI is now available, letting developers automate the full Agentic lifecycle, including authentication, project sync, eval runs, and deployment, from external systems, without Studio.

    Microsoft Foundry Model Catalog support

    Microsoft Foundry is now available as a unified provider, replacing the previous Anthropic-only integration. Select models from multiple publishers, including OpenAI, Meta, Mistral, Cohere, and Anthropic, or enter custom deployments. The configuration also supports Azure AD Service Principal authentication with automatic token discovery.

    Recurring evaluation run schedules

    Eval runs can now be scheduled to recur daily, weekly, or monthly, with time zone selection and flexible start and end conditions.

    Exact timestamps on eval runs

    Eval runs in Studio now display exact start and completion timestamps alongside the existing relative time labels, across Studio.

    Unsaved-changes warning in the ABL editor

    Studio now warns you before you lose unsaved work when leaving the agent editor, with the option to save, discard, or stay.

    In-app Help Center and first-time user welcome experience

    Studio now includes a built-in Help Center with guided documentation, a platform primer, feature highlights, and support resources. It also offers a unified welcome screen for first-time users with quick-start actions—creating a project, using a template, connecting Artemis MCP, inviting team members, and accessing docs and support—reopenable anytime from the profile menu.

    Knowledge Base

    Improved OCR and language handling for SearchAI document extraction

    • SearchAI now automatically detects a document’s language and selects the corresponding RapidOCR model, rather than relying on a single fixed model regardless of script. This improves results for Arabic, Thai, Urdu, and Latin-script scans.
    • Mixed-language documents are kept in their source language rather than translated.
    • SearchAI detects pages with unusable or sparse text (scanned images, glyph-name artifacts, collapsed text, or vertical right-to-left output) and runs a full-page OCR fallback to recover readable text.
    • Explicit language and OCR-language settings now carry through the SDK, connectors, and every extraction path (sync, async, split-PDF, streaming URL, extraction-only), so configured language hints are honored consistently.
    • Automatic OCR now runs only when a PDF’s embedded text layer is genuinely unusable, is disabled for pure-text formats by default, and caps fallback retries rather than retrying indefinitely.
    • A visual enrichment or OCR failure no longer causes the whole document to fail — extraction continues downstream with any usable text.

    Connector enhancements: Custom base URLs and OAuth authentication

    Multiple connectors now support custom base URLs and expanded OAuth 2.0 Client Credentials authentication, enabling connections to on-premises deployments and sovereign cloud tenants instead of relying only on public cloud endpoints:

    • Jira: Custom base URL and product-version selection for Jira Data Center deployments
    • Confluence: Custom base URL, OAuth 2.0 Client Credentials authentication, and product-version selection
    • SharePoint: Custom base URL and OAuth 2.0 Client Credentials authentication through custom Azure AD endpoints, including sovereign clouds such as .de
    • ServiceNow: Custom base URL, OAuth 2.0 Client Credentials authentication, and product-version selection
    • Salesforce: OAuth 2.0 Client Credentials authentication for non-interactive, scriptable authentication
    • Microsoft 365 (Excel): OAuth 2.0 Client Credentials authentication for non-interactive Microsoft 365 authentication

    Voice Experience

    Voice Playground for softphone-based voice testing in Studio

    Playground now supports voice testing alongside text testing, allowing developers and QA teams to initiate a softphone interaction, speak with the agent, view the live transcript and call state, and open the session in Observatory for detailed voice debugging.

    Voice call transfer and escalation to a live agent

    The Escalation block in Studio now supports voice call transfers, in addition to the existing chat hand-off to an agent desk. Voice calls can be escalated to a human agent by integrating the call_transfer tool with the ESCALATE block; previously, escalation supported only chat-based handoff. Developers can choose a call transfer type (SIP, PSTN, or relay) and a transfer method (invite, refer, or bye/release-link) directly in the Escalation editor, to prevent failure messages from being announced twice.

    Voice agents can also transfer calls to external phone numbers, not just SIP endpoints, by configuring a PSTN phone number as an agent transfer destination in the project voice settings.

    Genesys Cloud Audio Connector for voice bots

    Voice calls can now connect to Genesys Cloud through the Audio Connector, using the AudioHook protocol, with support for both Pipeline and Realtime voice modes.

    Configure language-specific TTS profiles for multilingual voice agents

    Voice Pipeline channels can now define an explicit TTS profile for each configured language, including provider, voice, model, output format, pace, and temperature. When the interaction language changes, the agent switches to the configured profile for that language, instead of inferring a voice or provider from the default configuration.

    Amazon Connect live-agent transfer via SIP BYE with generated conversation summary

    Voice calls routed from Amazon Connect to an Artemis agent can now be transferred to a live agent, along with a generated conversation summary. The platform then releases the bot’s call leg via SIP BYE, allowing Amazon Connect to resume its contact flow and route the caller with context intact.

    Validation of STT timeout configuration against provider-specific limits

    Voice channel configuration now validates the speech/segmentation-silence timeout against the selected STT provider’s actual supported range (for example, Microsoft’s 100–5000 ms), instead of accepting any positive value, and rejects invalid values rather than silently clamping or forwarding them.

    Forward custom outbound SIP headers on call transfer

    Projects can now configure a set of allowed outbound SIP headers to forward during voice call transfers. Administrators select which predefined headers (for example, x-queue, x-skill) a project permits, and agents can attach values for those headers when initiating a SIP REFER or INVITE transfer. Enforcement, sanitization, and drop telemetry are applied at runtime.

    Multi-gateway BYOC SIP support

    BYOC (Bring Your Own Carrier) voice channels now support configuring multiple SIP gateway IP addresses and CIDR ranges, replacing the previous single-IP field. Each entry is provisioned as its own Jambonz SIP gateway, with full lifecycle management for create, update, rollback, and cleanup.

    Digital Experience

    Genesys Cloud Open Messaging integration for digital channel agent handoff

    Conversations on Web Chat, WhatsApp, and other messaging channels can now be handed off to a live agent through Genesys Cloud.

    Add Support for Microsoft Teams and Copilot channel

    Microsoft Teams and Copilot are now supported as a new deployment channel. Users can create a Teams channel instance from the Studio deployments screen, configure credentials and identity policies, and have the runtime enforce a verified Teams identity on inbound messages.

    File attachment support in the API channel and web SDK chat widget

    The file attachment option in the chat widget can now be shown or hidden per project, and the API channel now passes along caller-supplied context to the agent.

    Auto-disconnect idle chat widget sessions

    The embedded chat widget can now be configured to automatically disconnect or end a session after a period of user inactivity.

    Insights

    One place to see every LLM call

    A new Generations view shows every model call, from Studio, search, and live traffic, in one place, with cost, latency, and token usage.

    Filter analytics by environment and channel

    Analytics dashboards is now filetered by environment (development, staging, production) and channel, so testing data doesn’t get mixed in with production numbers.

    See who gave feedback

    The feedback table and exported reports now show which user submitted each piece of feedback, plus any custom tags.

    Public analytics APIs for sessions, traces, and LLM usage

    External systems can now pull conversation history, session and session-summary reporting data, messages, execution traces, and LLM cost and usage ledger data directly through public APIs.

    Governance

    Simpler guardrail threshold configuration and scanner configuration

    Guardrail policies now provide a simpler way to configure detection thresholds at the project level.

    Workspace administrators can configure guardrail providers and their available scanners, while project authors can select which configured providers the project can use. Guardrail providers also support a wider range of classifier response formats.

    Entity-based PII detection and anonymization

    PII detection and anonymization now support entity-based detection. Authors can create PII patterns using entity recognition (built-in or model-backed) instead of regex. An ignore-values list lets authors exclude known values from detection and reduce false positives.

    Auth Profile fields to reference deployment environment variables

    Project Auth Profile fields — Token URL, Refresh Token URL, Scopes, Client ID, and Client Secret — can now be populated from environment variables defined under Deployments, instead of requiring these values to be entered directly into the Auth Profile.

    OAuth and PKCE support for remote MCP servers

    Remote MCP server authentication profiles now support OAuth configuration, including authorization, token, and refresh URLs, scopes, and PKCE. PKCE can be enabled with the S256 challenge method.

    Simpler Azure encryption setup

    Customers using their own Azure encryption keys no longer need to register an app in their Azure tenant — the platform now manages that identity, and key rotation is simpler. This also adds support for additional compliance certifications (GDPR, SOC2, NIST, FIPS-140-3).

    Original source
  • Aug 17, 2026
    • Date parsed from source:
      Aug 17, 2026
    • First seen by Releasebot:
      Aug 18, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.4.4 August 17, 2026

    Agent Platform adds voice and security upgrades, including SIP transfer destinations in the agent DSL, an STT confidence threshold, dynamic HTTP batch payloads, simpler Azure BYOK setup, and new KMS compliance controls with split key rotation.

    Voice

    Author SIP transfer destinations directly in the agent DSL

    You can now declare a trusted SIP transfer destination directly on the built-in call_transfer tool, instead of relying solely on the project-level transfer target. The destination is authored as a non-model default (default_source: config), so it’s never visible to or fillable by the LLM. The compiler validates it at publish time — catching blank values, unresolved templates, and malformed SIP URIs before an agent goes live.

    Configure a minimum STT confidence threshold

    You can now set a project-level minimum speech-to-text (STT) confidence threshold for voice interactions. Transcripts below the threshold are treated as no input, preventing low-confidence speech recognition results from triggering agent responses. Set the threshold between 0 and 1; set it to 0 to disable it.

    Tools

    Build dynamic batch payloads with HTTP body templates

    HTTP tools now support {{#each input.X}} in body templates, letting you dynamically generate batch payloads from array inputs in a single request. You can also use session secrets in the generated payload, while keeping secret values protected from the model.

    Security and Compliance

    Simplified Azure BYOK setup with a platform-owned identity

    Azure Bring-Your-Own-Key (BYOK) encryption for same-tenant Azure Key Vault no longer requires customers to register or maintain their own Entra app registration or a federated credential configuration. Artemis now uses a platform-owned Workload Identity Federation application — customers grant it a scoped Key Vault role and provide their key location, with no client ID, secret, or certificate ever entered or stored.

    New KMS compliance controls for BYOK

    Workspaces using BYOK/KMS can now select a compliance level (GDPR, SOC2, or NIST), which the platform enforces at the point of any KMS configuration write. Key rotation is now split into two distinct, independently controlled actions — DEK retirement and KEK rewrap — each with its own preflight check before running.

    Original source
  • Aug 13, 2026
    • Date parsed from source:
      Aug 13, 2026
    • First seen by Releasebot:
      Aug 13, 2026
    Kore AI logo

    Agent Platform by Kore AI

    v1.4.3 August 13, 2026

    Agent Platform ships stability and resilience updates for agent handoffs, long calls, authentication, routing, and playback.

    Patch Release

    This release includes various updates to enhance the stability and resilience of agent handoffs, long-duration calls, and authentication flows, as well as improvements to conversation routing and recording playback.

    Original source
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