AI Agent Frameworks Release Notes
Release notes for AI agent platforms that allow you to set up and orchestrate AI agents
Products (17)
Latest AI Agent Frameworks Updates
- April 2026
- No date parsed from source.
- First seen by Releasebot:Apr 16, 2026
Dive into our Agentforce 360 Announcements
Agentforce 360 introduces a major AI agent release with Builder for faster agent development, Agent Script for tighter behavior control, Agentforce Voice for natural brand conversations, and Intelligent Context to ground agents in unstructured data.
Learn more about our latest release, designed to help you connect to customers, employees, agents, and operations in a whole new way.
Agentforce 360 brings together humans, applications, AI agents, and data
Agentforce 360 is our boldest release yet, shaped by thousands of real-world customer deployments.
This release introduces a new Agentforce Builder for faster agent development, Agent Script for greater control of agent behavior, Agentforce Voice for natural on-brand conversations, and Intelligent Context to ground agents in your complex unstructured data.
Explore Agentforce 360
Agentforce Builder
Agent Script
Agentforce Voice
Intelligent ContextEveryone can now build and control reliable agents with Agentforce Builder
With Agentforce Builder, teams can now craft, test, and refine agents in a single, conversational workspace. Whether you're a seasoned developer or a natural language builder, you can ditch the separate build, test, and deploy cycles. Revolutionize your workflow with "vibe-building," instant editing in doc-like, canvas, or script views, and one-click simulations with real-time debugging. Iterate radically faster, safer, and more collaboratively than ever before. Every agent compiles into a portable JSON file, making versioning and sharing a breeze, while our enterprise-grade security and privacy controls ensure top-tier governance.
Key capabilities include:
- Unified workspace: Collapse drafting, testing, and deployment into a single interface, eliminating the traditional build-test loop.
- Multi-view editing: Switch seamlessly between a doc-like editor with autocomplete in a low-code canvas, and a script view to match any workflow.
- Rapid iteration with simulation and live debugging. Preview real user interactions in real time, view trace data for each reasoning step, and adjust instantly.
- Enterprise-grade governance: Built on Salesforce’s security and privacy features to ensure compliance and safe deployment.
- Agentforce Vibes: An AI coding partner that collaborates like a pair programmer, understanding your Salesforce project context and executing on your behalf to accelerate development.
Control agent behavior with Agent Script
Agent Script is a new scripting language for controlling agents. It combines the creativity of AI with the predictability of code so that agents perform the exact way you want them to, every time. Agent Script allows you to define agent behavior with a human-readable expression language, which enables conditional logic, precise tool use, and guided, deterministic controls. This new level of control empowers Agentforce to tackle even your most complex tasks with confidence.
Key Capabilities include:
- More predictable agents - Agent Script is a new scripting language designed for controlling agents. This human-readable, portable JSON expression language allows teams to define complex agent logic, including conditionals, “if/then” rules, and hand-offs - all with programmatic precision.
- Hybrid Reasoning in the Atlas Reasoning Engine: The Atlas Reasoning Engine is now configurable, enabling teams to balance the inherent creativity of LLMs with the certainty of structured business logic, enabling more predictable and reliable agent behavior.
- Flexible, expanded model choice: Agentforce now supports Google Gemini as a model for the Atlas Reasoning Engine, joining Open AI and Anthropic on Amazon Bedrock to enable even greater choice for what models Agentforce uses to reason and plan.
Create unified, dynamic experiences that delight with Agentforce Voice
Leave long waits and frustrating phone menus behind. Agentforce Voice delivers natural, human-like conversations that capture your brand's unique tone and personality, and connect seamlessly to every part of your business. With 80% of all inquiries starting by phone, we're transforming every call into a dynamic, real-time interaction that is fully integrated into every Salesforce application. We put each agent through thousands of real-world scenarios—including noisy backgrounds, distracted callers, and complex, multi-step processes—to ensure reliable, enterprise-ready performance. The result? Stronger customer relationships and measurable ROI.
Key capabilities include:
- Fully personalized voice agents: Each AI agent speaks in a voice aligned to the company’s brand, trained on its data, tone, and contextual knowledge.
- Ultra-realistic, low-latency interactions: Built for real-time responsiveness, Agentforce achieves near-human conversational flow while executing actions such as updating CRM records, triggering workflows, or calling APIs - with full auditability through Data 360.
- Seamless integration: Natively connected to Salesforce, Agentforce Voice extends across the contact center stack with first-class support for Amazon Connect, Five9, Genesys, NiCE, and Vonage.
- Fluid, interruptible conversations: Every word is transcribed live in Salesforce Voice, giving human agents real-time visibility from within the agent console to allow instant, seamless takeovers when needed.
- Voice-first platform architecture: Enhanced latency, speech realism, and deep language understanding make it not just a new modality - but a complete platform experience built to meet customers where they are.
Make every agent more accurate with Intelligent Context
Enterprise-grade agent experiences start with business-specific context. Intelligent Context ensures your AI agents are deeply grounded in the complex, unstructured data of your business. Powered by the new Data 360, this feature automatically extracts, structures, and surfaces this information so your agents can deliver accurate, relevant, and business-specific answers. Our low-code pipeline lets you configure document processing in hours instead of days. Plus, you can configure context so agents interpret the same content from multiple business perspectives. The result is agents that reason with the right data, empowering your teams with rich, contextual intelligence in every interaction.
Key capabilities include:
- Automated context extraction: Converts complex, unstructured documents into structured, actionable data for Agentforce.
- Low-code configuration: Quickly set up unstructured data pipelines in hours, not days, without extensive engineering effort.
- Multimodal support: Handles PDFs, tables, images, flowcharts, and other diverse content types.
- Seamless integration with Data 360: Create a search index with AI, then activate it everywhere for secure, contextual, enterprise-ready operations.
Build, deploy and manage AI agents at scale.
Learn more: Agentforce Builder
Configure Agentforce Topics, Actions, and Instructions in a few clicks.
Learn more: Agentforce Voice
Bring AI-powered voice to every channel with Agentforce Voice. Deliver fast, natural conversations across phone, web, and mobile.
Learn more: Multi-Agent Orchestration
Build a collaborative AI agent team that works together to solve complex problems faster.
Learn more: Agentforce Observability
Monitor, analyze, and optimize agent performance in near real time so you can deliver faster resolutions, higher accuracy, and better customer experiences.Agentforce 360 Ecosystem
Customer Model Choice for Agentforce
Agentforce Voice CCaaS PartnersReady to take the next step with Agentforce?
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Original source Report a problem
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Contact us - April 2026
- No date parsed from source.
- First seen by Releasebot:Apr 16, 2026
Support extended for SAP Intelligent Clinical Supply Management.
Joule is now available in SAP Intelligent Clinical Supply Management for cloud with conversational search and navigation.
Joule
Joule is now available in SAP Intelligent Clinical Supply Management with the following capabilities for cloud:
- Conversational Search
- Navigational Capabilities
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- April 2026
- No date parsed from source.
- First seen by Releasebot:Apr 16, 2026
New Transactional Use Cases
Joule adds transactional use case support for Total Payment, Payment Comparison, and Payment Averages.
New transactional use cases are supported in the following areas: Total Payment, Payment Comparison, and Payment Averages.
For more information, see:
- SAP Incentive Management on Hyperscalers
- SAP Incentive Management, enterprise edition
- April 2026
- No date parsed from source.
- First seen by Releasebot:Apr 16, 2026
New Transactional Use Cases
Joule adds transactional use cases for Total Payment, Payment Comparison, and Payment Averages in SAP Incentive Management.
New transactional use cases are supported in the following areas: Total Payment, Payment Comparison, and Payment Averages.
For more information, see:
- SAP Incentive Management on Hyperscalers
- SAP Incentive Management, enterprise edition
- Apr 16, 2026
- Date parsed from source:Apr 16, 2026
- First seen by Releasebot:Apr 16, 2026
langchain-text-splitters==1.1.2
LangChain ships text-splitters 1.1.2 with an SSRF-safe transport update for split_text_from_url, a fix for silent data loss on empty dict values in RecursiveJsonSplitter, and broader maintenance updates including Python 3.14 test support and security-driven dependency bumps.
Changes since langchain-text-splitters==1.1.1
- release(text-splitters): 1.1.2 (#36822)
- fix(text-splitters): deprecate and use SSRF-safe transport in split_text_from_url (#36821)
- chore: bump langsmith from 0.6.3 to 0.7.31 in /libs/text-splitters (#36797)
- chore(deps): bump pytest to 9.0.3 (#36801)
- chore: bump pytest from 9.0.2 to 9.0.3 in /libs/text-splitters (#36714)
- chore: add comment explaining pygments>=2.20.0 (#36570)
- release(core): 1.2.26 (#36511)
- chore: pygments>=2.20.0 across all packages (CVE-2026-4539) (#36385)
- fix(text-splitters): prevent silent data loss for empty dict values in RecursiveJsonSplitter (#35079)
- feat(text-splitters): support spacy tests with Python 3.14 (#36198)
- fix(infra): correct lint_diff relative paths in package makefiles (#36333)
- chore: bump requests from 2.32.5 to 2.33.0 in /libs/text-splitters (#36238)
- chore: bump nltk from 3.9.3 to 3.9.4 in /libs/text-splitters (#36237)
- chore(partners): bump langchain-core min to 1.2.21 (#36183)
- chore(text-splitters): bump nltk in lock file (#36112)
- ci: suppress pytest streaming output in CI (#36092)
- chore(text-splitters): speed up ci (#36050)
- ci: avoid unnecessary dep installs in lint targets (#36046)
- chore: bump orjson from 3.11.5 to 3.11.6 in /libs/text-splitters (#35856)
- chore: bump locks, lint (#35985)
- perf(.github): set a timeout on get min versions HTTP calls (#35851)
- chore: bump tornado from 6.5.2 to 6.5.5 in /libs/text-splitters (#35774)
- chore: bump the minor-and-patch group across 3 directories with 3 updates (#35589)
- chore: bump the other-deps group across 3 directories with 2 updates (#35512)
- chore: bump nltk from 3.9.2 to 3.9.3 in /libs/text-splitters (#35449)
- chore: bump the other-deps group across 3 directories with 2 updates (#35407)
- Apr 16, 2026
- Date parsed from source:Apr 16, 2026
- First seen by Releasebot:Apr 16, 2026
langchain-core==1.2.31
LangChain releases 1.2.31 with a core v1.2 port and related updates from port 36816.
Changes since langchain-core==1.2.30
release(core): port 36816 to v1.2 and release 1.2.31 (#36817)
Original source Report a problem - Apr 16, 2026
- Date parsed from source:Apr 16, 2026
- First seen by Releasebot:Apr 16, 2026
New Search Criteria Now Supported for Consignmens in SAP Logistics Management
Joule adds consignment search in SAP Logistics Management with broader shipment, partner, date, and status criteria.
Joule now enables you to search for consignments in SAP Logistics Management using the following search criteria:
- Shipping point
- Ship-to party
- Geographical attributes of the ship-to party, for example, city or country/region
- Carrier
- Shipping dates, for example, the exact date or a date range
- Status, for example, the consolidation status
- Outbound delivery
- Processing variant
- Purchasing organization
- Partner reference number
- Apr 16, 2026
- Date parsed from source:Apr 16, 2026
- First seen by Releasebot:Apr 16, 2026
@ai-sdk/[email protected]
Vercel AI SDK adds a resilient model list for unknown model types in provider gateway.
Patch Changes
5df9b6f: feat (provider/gateway): make model list resilient to unknown model types
Original source Report a problem - Apr 16, 2026
- Date parsed from source:Apr 16, 2026
- First seen by Releasebot:Apr 15, 2026
- Modified by Releasebot:Apr 16, 2026
- Apr 16, 2026
- Date parsed from source:Apr 16, 2026
- First seen by Releasebot:Apr 15, 2026
- Modified by Releasebot:Apr 16, 2026