Workflow History and run simulation replay
Review past workflow runs like Actions history — filter, share, and replay step-by-step on the graph.What’s new
- Workflows history — New Workflows nav item with org-wide run history (admins see all; members see their own)
- Run detail — Inputs, step traces, and result with copy/share; default Simulation opens the graph replay for the recorded run
- Activity timeline — Last-7-days histogram by run status with brush-to-filter (same pattern as Actions)
- Workflow Recording — Organization setting: Full, Headers only, or Disabled (HITL approval checkpoints still persist when disabled so resume works)
- Share links — Share a run via
/workflow-history/share/{run_id}with the same detail + simulation UI
Improvements
- Real non-dry-run executions are persisted when a workflow id is present (not only approval waits)
- Display names for agent and workflow in the history table and detail view
- Dry runs are never written to history
Workflow dry-run, outputs, and richer run insights
Simulate workflows before going live, shape final results with an output node, and inspect each step more clearly.What’s new
- Dry-run / simulation — Run a workflow without side effects to validate logic, see step status on the graph, and review inputs and outputs in the inspector
- Output node (
apigene.output) — Define the final structured result of a workflow run - On-error handling — Configure how workflows respond when a step fails
- Richer expressions — Inline object and array literals and improved nesting in workflow expressions
- MCP —
run_workflowsupportsdry_runand optional step data in results
Improvements
- Copy and download workflow run results as JSON
- Step tracing, elapsed time, and result size in the workflows UI
- Resizable workflow inspector and clearer run status visualization
Approvals, LLM steps, and parallel joins
Pause for human approval, call an LLM inside a workflow, and join parallel branches before continuing.What’s new
- Human-in-the-loop approvals — Pause a run for review, then approve or reject and resume from Copilot or MCP (
resume_workflow) - LLM node (
apigene.llm) — Call a language model as a first-class workflow step - Join node (
apigene.join) — Wait for parallel branches and continue with combined results - Richer conditions — More string operators for
if/ expression logic
Improvements
- Clearer graph UI for approved, rejected, and waiting nodes
- Better workflow compile and lint error messages
Agent workflows and chat pinning
Build, lint, and run multi-step agent workflows from Copilot and MCP, and keep important chats pinned.What’s new
- Workflows on agents — Create and manage workflows from a dedicated Workflows tab
- Workflow graph editor — Design steps visually with improved layout and node tooling
- Workflow linting — Catch compile issues early with actionable hints
- MCP workflow tools — Author, run, and manage workflows from MCP clients
- Pin chat threads — Pin important conversations in the sidebar
- Dashboard analytics — Conversation analytics on the dashboard
Improvements
- Clearer message timestamps in chat
- More reliable interactive / streaming app handling in chat
Tasks, chat search, and app secrets
Schedule and run tasks from Copilot, find threads faster, and manage provider secrets more safely.What’s new
- Tasks — Create, schedule, and run tasks from the product navigation and task management UI
- Model per task — Choose which chat model a task uses
- Thread search and filters — Search and filter conversations in the sidebar
- Provider secret management — Clearer handling of secrets for application / provider configuration
Improvements
- Faster chat loading and paginated thread history
- “Run now” for tasks no longer times out behind long-running proxies
- Task names must be unique within the organization
- MCP lists can include tool details when needed
Chat commands, follow-ups, and audit coverage
Save reusable chat prompts, control follow-up suggestions, and see more sensitive activity in audit.What’s new
- Chat commands (prompt presets) — Save, pick, and reuse prompts from the chat input, including agent selection
- Follow-up suggestions — Toggle suggested follow-up prompts in chat settings
- Personal settings snapshots — Manage settings snapshots from personal settings
- Broader audit logging — Audit entries for API token generation and organization settings changes
Improvements
- Interaction / action views handle redacted request bodies safely
- Organizations can control when interaction bodies are recorded
- Prompt commands are sorted by name for easier browsing
Chat message queue, skills download, and clearer model errors
Keep typing while the assistant works, download skill docs, and get clearer Bedrock feedback.What’s new
- Message queue — Queue follow-up messages while a chat response is still running
- Download
SKILL.md— Export skill documentation from the skills table - More file types in chat — Broader file support in the prompt input
- LLM checks on install — Installing an application checks that a model provider is configured
Improvements
- Clearer Bedrock chat errors and filtering of unavailable / end-of-life models
- Agent icons display correctly in the tool picker and selected-agent list
- Better reindexing status feedback on application metadata
Mock execution for API actions
Test applications without hitting live APIs.What’s new
- Mock execution mode — Generate mock API responses for interactions when mock mode is enabled
- Optional LLM fallback for mocks — Prefer schema-based mocks by default; optionally fall back to an LLM when examples are insufficient
- Force reindex — Force an application reindex when refreshing agentic metadata
Apigene 5.0 — org models, skill registry, and self-serve auth
First 5.x release: tenant-scoped models, discoverable skills, and Apigene-native sign-in.What’s new
- Org-scoped model credentials — LLM keys come from Settings → Models per organization (no shared global
OPENAI_API_KEYon the API) - Amazon Bedrock & Microsoft Foundry — Configure Bedrock (including API-key auth) and Azure / Microsoft Foundry providers with clearer validation
- Skill registry — Find and install skills from the skill registry in Agent Builder
- Apigene authentication — Native Apigene sign-in adapter and sign-in UI (alongside existing providers)
- Self-service organizations — Admins can create an organization during signup
- GPT-5.5 — GPT-5.5 available in the model list
Improvements
- Searchable model picker with collapsible providers
- Clearer organization settings layout with sticky save for unsaved changes