The Log.

Your Box, Your Brains

Every agent you've ever run phoned home, sent your data somewhere, billed you by the token. The deal just changed. NVIDIA put a Grace-Blackwell supercomputer and 128 GB of unified memory on a desk — most teams will run a demo and screenshot the tokens-per-second. We made Sandcastle treat it like home. Plug in a DGX Spark and it knows: Spark Mode lights up, defaults flip to local-first, and inference goes first-class local through a new nim/* provider at $0.00/run, data that never leaves the box. Then it learns — Overnight Self-Tune trains a task-specific LoRA on your own eval data while you sleep. You wanted to stop renting. Here's the deed. And Spark is only the headline: this drop also bundles offline cassettes, run permalinks, a one-command local runner, a Template Hub explosion, a provider-neutral dashboard refresh, the 2026-06 model wave, and a security & reliability sweep. Roughly three weeks of work in one release.

• feat · headline

  Spark Mode — your box, zero flags

  Sandcastle auto-detects an NVIDIA DGX Spark (GB10 Grace-Blackwell, 128 GB unified memory) and flips to local-first defaults on its own — no flag, no config. A startup banner, a dashboard badge, and GET /api/runtime all say the same thing: you're running on your own silicon. Your data, your box, your rules.

• feat

  Local inference, first-class

  A new nim/* provider (NVIDIA NIM, OpenAI-compatible) joins ollama and oMLX — every one at region=local, $0.00/run, data-stays-on-box. On a detected Spark the bare default model auto-routes to the local NIM. No token meter. No egress.

• feat

  Overnight Self-Tune

  The evolution loop can train a task-specific LoRA adapter on a workflow's own eval data and route to it — the box gets better at your task, on your data, for $0. Train it overnight, wake up to a model tuned to your workflow.

• feat

  Deterministic cassettes

  Record a run once, replay it offline at $0 — identically, provider-free, with a tamper-evident signature. A new strict mode hard-fails on a modified cassette. Demos that never call an API; tests that never flake on the network.

• feat

  Shareable run permalinks

  Loom-for-workflows: a public, secrets-scrubbed link to any run, with a 30-day TTL. Send the result, not a screenshot — no login, no replay cost, nothing private leaks.

• feat

  sandcastle run --local

  One command, in-process, zero external dependencies — no server, no queue, no Redis. First-run onboarding now picks your engine for you. The fastest path from pip install to a finished workflow.

• feat · templates

  Template Hub explosion

  The biggest content drop yet. New categories — Automation & RPA, plus several more — and dozens of provider-neutral browser / computer-use RPA workflows that run on whatever model you point them at. A living community gallery seeded with 31 workflows from 19 authors, synced to the web hub. Three viral creative use-cases too: Action Figure Me, Glow-Up Restore, Ad Creative Factory.

• feat

  Tool step + UGC Studio

  A first-class tool step type and a self-healing UGC Studio flow with a vision judge — reference-image creative that checks its own output and retries until it passes.

• feat · models

  2026-06 model refresh

  The June wave wired in: GPT Image 2, Gemini 3.5, and GPT-5.2 — with retired models cleaned out so nothing routes to a dead endpoint.

• feat · dashboard

  Provider-neutral, dark-first dashboard

  A refresh that tells the real story: Sandcastle runs on any provider, not one. Dark-first design, demo runs seeded with real provider models, and recovery from stale-deploy chunk misses instead of a dead-end "Connection error".

• docs

  Built for code assistants

  llms.txt + llms-full.txt ship in the repo and on the site, so a code-generating assistant can read Sandcastle's surface and scaffold a correct workflow on the first try.

• fix · hardening

  Security & reliability sweep

  A browser-step SSRF guard blocks requests to internal/disallowed hosts. Share tokens carry a TTL; dynamic nim/* model ids are validated; an auth pepper and a step-cache cap landed. The sync run endpoint no longer reports completed when persistence fails — it retries and returns verification_pending. Browser dom / computer-use / lightpanda modes stop crashing on a never-defined sandbox_exec. Packaging gained its missing runtime deps, and the last test-isolation flakes are gone.

• milestone
  20+PRs shipped since v0.32.2

  $0Local inference / run

  3Local providers (nim/ollama/oMLX)

  0Tokens leaving the box

Your Sandbox, Your Silicon

Anthropic shipped a managed-agents update on May 19. Most teams will read the blog post and move on. We extracted everything. Self-hosted sandboxes that keep your org key inside your boundary. A Memory MCP server that fills the gap Anthropic left when they declared memory_stores incompatible with self-hosted runs. MCP tunnels with WIF token exchange so your private Jira can be reached by a managed agent without static secrets. Live work-queue telemetry in the dashboard. Three production case-study blueprints. Five sandbox cookbooks. 150 new tests, validated across six iterations. Zero regressions. You wanted control over where your model runs. Here it is.

• feat · headline

  Self-hosted sandboxes — your code, your silicon

  Five providers in the runtime enum: cloudflare, daytona, modal, vercel, docker. Each gets a cookbook under deploy/cookbooks/ with a copy-paste-ready spawn script and image. Your org key never leaves your boundary — the worker refuses to start if ANTHROPIC_API_KEY is present in the sandbox env. Only sk-ant-oat01- environment-scoped keys get past the gate. A foot-gun that would have leaked your org budget now raises before the first network call.

• feat

  Memory MCP server

  Anthropic explicitly documented that memory_stores cannot be combined with self-hosted sandboxes. We filled the gap. sandcastle.engine.memory_mcp_server wraps mem0 + persistent Qdrant + Anthropic Haiku for memory decisions. Four tools, two resources, one prompt. Helm chart + docker-compose. NetworkPolicy egress to Cloudflare CIDR only.

• feat

  MCP tunnels with WIF auth

  Gated beta, header mcp-client-2025-11-20. Your internal Jira / Snowflake / Confluence is reachable from a managed agent through a cloudflared tunnel authenticated with WIF tokens. No static secrets. 60s skew-cached token exchange. Manual cert mode also supported for air-gapped setups.

• feat

  Live work-queue dashboard

  WorkQueuePanel on the run detail page, SSE-driven. Depth, sparkline (Recharts), pill (green < 5, amber 5–50, red > 50), aria-live="polite", exponential backoff up to 30 s. You see the backlog before the pager fires.

• feat

  Webhook-driven workers

  New session.status_run_started event in SUPPORTED_EVENTS. A worker can now run as a webhook handler instead of a long-poll loop — saves RAM, latency, and your AWS bill. HMAC verification round-trips sha256= prefix and bare digest forms.

• feat · templates

  Three production case studies

  Not tutorials. Blueprints. Amplitude designer (multiagent + accessibility specialist + computer-use + Cloudflare). Clay GTM (project_manager + researcher / writer / qualifier + Daytona). Rogo analyst on private data (Vercel + WIF tunnel + risk_level high + mandatory approval + eval gate).

• feat · quality

  Tested six different ways

  150 new tests. Sequential re-run, file isolation, randomized + pollution cluster, pytest-repeat 10x stress, module + CLI smoke, consolidated verdict. Zero flakes. Zero new regression categories. Documented in the PR.

• milestone
  150New v0.32.2 tests

  5Sandbox cookbooks

  6Validation iterations

  0Regressions

Claude Agents Deep Integration

You shipped the agent. The client wants the integration. The auditor wants the trail. The user wants you to ask the next question without restarting the whole workflow. v0.32 is the answer to every one of those. Sandcastle now exposes every Anthropic Managed Agents primitive shipped under the managed-agents-2026-04-01 beta umbrella, plus the things Anthropic doesn't ship: cryptographically verifiable trajectory replay, a Skills publisher that turns workflows into uploadable Claude Skills, and an Agent SDK runtime for teams that want in-process execution. Two weeks of work, 169 new tests, one release.

• feat · headline

  Every Anthropic primitive surfaced

  Memory Stores, Multiagent coordinator, Outcomes API, Webhooks. All four came out from Anthropic under the same beta header in April and May 2026; Sandcastle now wires each one into the YAML and the dashboard so a single workflow can attach versioned memory, spawn 20 parallel specialist agents, define outcomes the eval pipeline reads automatically, and emit lifecycle events to a webhook endpoint.

  Add three lines of YAML, get a multi-agent system that meets your eval gate.

• feat

  Skills Publisher

  sandcastle publish-skills --upload converts every workflow into a tar.gz SKILL.md package with strict frontmatter and uploads to /v1/skills. Your workflows are now callable from every Anthropic Skills-aware client. Pair with v0.31 MCP-first publishing and Sandcastle covers both major distribution channels.

• feat

  Trajectory Replay

  New type: trajectory-replay step computes SHA-256 over a recorded tool-call sequence and diffs against a candidate run. Sandcastle's audit trail is a hash chain, so the replay is cryptographically verifiable. EU AI Act auditors love this.

• feat

  Agent SDK runtime

  runtime: "agent-sdk" swaps Managed Agents for in-process Claude Agent SDK. For EU sovereignty, air-gapped, regulated teams who can't send session state to Anthropic's hosted infra. Lazy-imports the SDK; graceful error when not installed.

• feat · polish

  Live Agent Reasoning panel

  Run detail page now subscribes to an SSE event stream and shows agent.thinking, agent.tool_use, and agent.message events as they fire. Thread-grouped, collapsible. The dashboard finally shows what the agent is actually doing.

• fix

  Five wire fixes (table stakes)

  tools_enabled finally reaches the API (was parsed but ignored). temperature, max_tokens, thinking_budget on ManagedAgentConfig. stream config field actually used. Pricing table mapping every Claude 4.x model. Fallback chains of up to 5 templates.

• feat

  Tool Search + examples convention

  Mark tools with defer_loading: true and 1–5 invocation examples per tool. Anthropic's own measurements: tool-selection accuracy 49% to 74%, usable context up 85%, parameter accuracy 72% to 90%. New docs/tool-examples-convention.md.

• feat

  Computer Use + MCP Elicitation

  New type: computer-use step type with the computer_20251124 beta + an 8-item safety pre-flight (prompt-injection guard, page-load deadline, screenshot bounds). Plus the 6th MCP primitive (Elicitation, spec rev 2025-11-25) lets workflows ask the user for a missing input mid-run.

• milestone
  15,176Tests passing

  169New v0.32 tests

  9New modules

  24Step types

Compliance & Connections

Eighty days. That is how long you have until the EU AI Act's general-purpose obligations go live. After 2 August 2026, "we'll figure it out later" stops being an acceptable answer. v0.31 is the answer you can ship today: a dedicated EU AI Act landing your CISO can actually read, ten ready-made compliance workflow templates mapped to specific Articles and Annex IV, eval gates that block a regressing model from getting promoted, and MCP-first publishing that turns every workflow you've already built into a first-class tool inside Claude Desktop, Cursor, Windsurf, or any MCP client. The work was quiet. The result is loud.

• feat · headline

  Built for August 2, 2026

  The EU AI Act deadline is on the calendar whether you like it or not. v0.31 ships a dedicated landing page mapping every Sandcastle control to a specific Article (9, 11, 12, 14, 25, 49, 50, 73) and Annex IV, plus ten production-ready compliance workflow templates: DPIA, vendor risk assessment, incident reporting, bias audit, model card generator, AI inventory, risk register, GDPR data-subject request, human oversight log, and Annex IV transparency report.

  Bring the templates. Customize the prompts. Hand the auditor the audit trail. Done.

• feat

  MCP-First Publishing

  One command: sandcastle publish-mcp researcher. Paste the snippet into Claude Desktop, Cursor, or Windsurf. Your workflow is now a tool the AI client can call. Every workflow you already built becomes reachable from every MCP client in the ecosystem — the full five-primitive spec (tools, resources, prompts, sampling, roots) and a .well-known/mcp.json discovery manifest included.

• feat

  Eval gates that block bad models

  Define a golden dataset of inputs and expected scores. Set a minimum threshold. Promote with ?strict=true and Sandcastle runs the gate before flipping the production version. The new model regresses by even a hair? Promotion fails closed. Eval-driven development is no longer a future plan.

• fix · polish

  A dashboard that doesn't crash

  Overview page split into twenty focused components, each wrapped in its own error boundary. One slow API endpoint no longer wipes the page. Every section that loads stays loaded. The 2,261-line monolith is now a 241-line orchestrator.

• fix

  Cost estimates that tell the truth

  The token estimator used to assume 1,000 tokens per run for every workflow on Earth. Now it reads each workflow's actual run history, blends the price per million, and gives each one its own number. Evolution makes better keep/discard calls. AutoPilot stops lying about the cost of an experiment.

• fix · security

  Codex Audit Rounds 9 + 10

  Five HIGH findings closed: tenant-scoped cache and Mem0 scope, XSS-safe report config, SSRF-guarded WeasyPrint URL fetching, A2A budget enforcement, version-list 404 correctness. Plus one MEDIUM: cross-tenant prompt injection in the workflow generator. tenant_id threaded through every executor path so neighbouring tenants cannot see each other's cache hits, memory reads, or prompt context.

• fix · a11y

  Dashboard accessibility pass

  aria-expanded, aria-controls, aria-hidden, focus-visible rings, sr-only labels on every search and filter input, modal widths that scale up on tablet, disabled opacity bumped to WCAG-AA contrast, and localStorage wrapped in try/catch so private browsing degrades gracefully. Eight separate polish items in one release.

• feat

  Per-workflow stats API

  GET /api/workflows/stats returns run count, success rate, average cost, and last-run status for every workflow visible to your tenant. Cached in-process for 30 seconds. The dashboard grid now shows real metrics instead of placeholder data.

• milestone
  15,014Tests passing

  10Compliance YAMLs

  5MCP primitives

  80Days to deadline

Agents Unleashed

v0.30 is the biggest Sandcastle release yet. Claude Managed Agents are now workflow steps. Pick from 15 built-in agent templates — or describe what you need and AI designs the agent for you. Combine cloud agents, local models, OCR, and PDF reports in one YAML file. Plus: GLM-OCR with 94.6% accuracy runs locally for free, and every run now tells you exactly where your tokens go.

• feat · headline

  Claude Managed Agents as Workflow Steps

  Delegate to Anthropic's cloud agent runtime. Agents get bash, files, web search, code execution. Use them alongside Mistral, oMLX, or any other provider. One YAML, best tool per step.

• feat

  15 Built-in Agent Templates

  researcher, coder, analyst, writer, reviewer, scraper, tester, devops, translator, designer, sql_expert, seo_specialist, legal_analyst, financial_analyst, project_manager. One line: agent_template: researcher

• feat

  Describe Mode

  Don't pick a template. Describe what you need: "Data analyst who creates charts from CSVs." AI designs the agent automatically — system prompt, tools, packages, network.

• feat

  Agent Chaining

  output_format (json/files/markdown), shared_files between agents, fallback_template on failure. Agents collaborate in multi-step pipelines.

• feat

  GLM-OCR Engine

  0.9B model, 94.6% accuracy, #1 on OmniDocBench. Runs locally via Ollama. Free. Handles tables, handwriting, math, code blocks. 4th OCR engine alongside pymupdf and Chandra.

• feat · perf

  Token Waste Detection

  Every run generates a token efficiency report. Detects duplicate file reads, duplicate prompts, oversized context. output_max_tokens limits what passes between steps. Cache-aware execution.

• milestone
  21Step types

  15Agent templates

  4OCR engines

  325New tests

Every Step Knows Its Story

v0.28.1 is about making what you've built understandable. Steps explain why they exist. Errors tell you what went wrong. The CLI shows you what's happening in real-time. And LLM steps can now pull in fresh context from memory, web, or files before they run.

• feat · headline

  Self-Describing Workflows

  Every step can declare its responsibility, source_hint, owner, and added_date. Three new CLI commands: sandcastle describe, sandcastle lint, sandcastle owners. Audit trail enriched. Dashboard shows metadata on steps and workflow cards.

• feat

  context_query — Dynamic Context for LLM Steps

  Steps fetch relevant context before execution. Four sources: Agent Memory (semantic search), web (Tavily), local files (keyword search), custom (shell command). Available as {context} in prompts.

• feat · ux

  sandcastle run --stream

  Live terminal output with colors: green for done, yellow for running, red for failed. Shows step timing, cost, and responsibility. Ctrl+C runs in background.

• feat · ux

  Real-Time Step Progress

  Dashboard shows live checkmarks via SSE as steps complete. No more refreshing to see progress.

• feat · ux

  Detailed Errors + PDF Download

  Full error messages in red callout boxes (not just "failed"). Download PDF button for report steps.

• feat

  Batch Cancel + Semantic Search

  Cancel running batches mid-flight. Template search with "Did you mean…" fuzzy suggestions.

• feat · quality

  540 New Tests

  280 template e2e tests (top 20 templates). 260 provider integration tests (all 7 providers). Full validation coverage.

Batch, Monitor, Report.

v0.28 is where Sandcastle stops being a tool and becomes a platform. Batch-process thousands of items. Monitor your schedules. Generate beautiful PDF reports with charts. Parse scanned documents with AI. Auto-update without downtime. And now — run everything locally on Apple Silicon with oMLX.

• feat · headline

  Auto-Update System

  CLI: sandcastle update. Dashboard: one-click with rollback. Stable/beta/pinned channels. Blackout windows. Enterprise approval policies. Never manually pip install again.

• feat

  Batch Run

  Upload 1000 items, Sandcastle fans out into parallel runs. Progress tracking, per-item results, aggregate cost. POST /workflows/{name}/batch

• feat

  PDF Report Engine

  New step type: type: report. Professional-grade PDFs with cover page, table of contents, charts, KPI boxes, callouts. 3 themes. WeasyPrint under the hood. pip install sandcastle-ai[report]

• feat

  Schedule Monitor

  Dashboard page showing all cron schedules: last run, next run countdown, success rate, pause/resume. No more guessing what failed overnight.

• feat

  Chandra OCR

  Parse scanned documents, handwriting, tables from images. 90+ languages including Czech. ocr_engine: chandra in parse step. pip install sandcastle-ai[ocr]

• feat

  oMLX — Local AI on Apple Silicon

  7th provider. Run Llama 4, Mistral, Gemma, Qwen locally. Zero cloud costs. Zero data leaving your machine. OpenAI-compatible.

• feat

  Workflow Version Diff

  Every edit versioned. Compare any two versions with YAML diff highlighting. See exactly what changed.

• feat · ux

  Activity Feed + Run Compare

  Real-time activity stream on dashboard. Select 2 runs and compare side-by-side.

• feat

  Deep Research Pipeline

  OpenVLAW-inspired 6-step template: parallel research, judge, verify, typeset, audit. Built-in.

• milestone
  7AI providers

  20Step types

  125Templates

  44New oMLX tests

Hardened

v0.2666 was the vision. v0.2666b1 is the proof. We shipped universal advisor, EU data residency, smart failover. Then we spent a week trying to break it. 1,875 new tests. 90 bug fixes. 10 security patches. Every edge case we found — fixed.

• feat · ai

  AI Assistant got smarter

  Generates workflow, finds errors, fixes them automatically. Suggests matching templates. Learns your style from existing workflows. Knows which tools you have configured.

• feat · ux

  First 60 seconds redesigned

  Auto-detects Ollama and API keys on first load. One-click demo workflow runs in 10 seconds. Onboarding wizard: 2 steps, not 5.

• feat

  Failover Dashboard

  See when and why providers failed over. Per-workflow cost recommendations with savings amounts.

• feat

  Agent Memory Page

  Search, browse, delete agent memories. Importance scores and decay visualization.

• fix · security

  Security hardened

  Admin auth on evolution endpoints, template injection prevention, EU residency enforced on every LLM call, rate limiting, credential logging sanitized.

• fix · perf

  Faster everywhere

  GZip compression, 2-phase dashboard loading, cache headers, database indexes, search debounce.

• milestone
  1,875New tests

  90Bug fixes

  10Security patches

  14,361Total tests

Your AI, Your Rules, Your Borders

The release where Sandcastle stopped being an orchestrator and became a platform. You used to choose a provider and hope for the best. Now you describe what you want and the system figures out the rest — which model, which provider, what it costs, where the data lives, and what happens when something breaks.

• feat · headline

  Universal Advisor — one setting changes everything

  Set SANDCASTLE_ADVISOR_PROVIDER=mistral and every AI feature — generation, evolution, evaluation, quality scoring — switches to Mistral. Tomorrow you want Claude? Change one line. Ollama on your laptop? Same line. Six providers, one setting, zero code changes.

• feat · compliance

  EU Data Residency

  Set DATA_RESIDENCY=eu. That's it. All AI processing routes through EU providers or stays local. Try sending data to a US provider with EU mode on — Sandcastle won't let you. Not a promise. Enforcement.

• feat · reliability

  Smart Auto-Failover

  Provider hits a rate limit at 3 AM? Sandcastle switches to the next one. No error. No alert. No intervention. You wake up, check the dashboard, see "Failover activated 2x overnight. $0.12 additional cost." That's the whole story.

• feat

  SLO-Aware Routing

  Critical analysis gets Claude Opus. Simple formatting gets Haiku. Not because you configured 47 rules — because Sandcastle matches model quality to task importance automatically. You set the priorities. It picks the brain.

• feat · cost

  Cost Intelligence — you'll finally know where the money goes

  Per-provider cost breakdown. "Last 30 days: $120 via Claude. Same workloads via Mistral: $45." One click to see the math. And proactive recommendations that actually make sense — "Switch these 3 workflows to Mistral and save $75/month with EU residency included."

• feat

  OpenClaw Integration

  New step type: type: openclaw. Your workflows can now call OpenClaw agents as a step in any pipeline. One more thing you don't have to build yourself.

• feat

  Document Parser

  New step type: type: parse. PDF, DOCX, XLSX at 576 pages per second. No external service. No API key. No monthly bill. Just pip install sandcastle-ai[parse] and go.

• feat · ux

  Dashboard that gets out of your way

  Getting Started checklist for new users. Quick Run cards — jump straight to results. Collapsible sidebar. Step palette with categories. Backend configurator with copy-paste .env snippets. Lazy loading. The dashboard got simpler by getting smarter.

• milestone
  6AI providers

  20Step types

  576Pages/sec parsed

  0Lines to switch providers

Evolution

• feat · headline

  Workflow Evolution

  Your workflows optimize themselves. Set an eval suite, click "Evolve", and Sandcastle autonomously mutates prompts, swaps models, and simplifies steps — keeping only changes that improve your score.

• feat

  Composite Scoring

  quality * confidence - cost_penalty - latency_penalty. Every mutation is evaluated mechanically. No subjective judgments.

• feat

  Mutation Operators

  Three strategies: prompt refinement (LLM-guided), model swapping (haiku <-> sonnet based on quality/cost), and simplification (the AI learns that less is more).

• feat

  Evolution Dashboard

  Track every iteration. See the score evolve. Compare baseline vs best. Accept the winner with one click.

Ecosystem

• feat · headline

  Workflow as API

  Your workflows are now production APIs. One click to publish, one curl to call. Your customers hit the endpoint, you see every run in the dashboard. POST /api/v1/lead-enrichment with a Bearer key and a JSON body.

• feat

  Living Dashboard

  The dashboard shows real data now. Real-time sparklines update on every run. Anomaly detection catches cost spikes and error streaks automatically. Heatmap shows 6 months of activity — click any day to drill down into individual runs.

• feat

  Agent Marketplace

  Publish your workflows to the community hub. Others rate them, install them, remix them. Think npm for AI agents. One command to publish, one click to install.

• feat

  Multi-Agent Delegation

  Agents that call other agents. Dynamic routing: the output of one step picks which workflow runs next. Full depth tracking, real-time progress events at every level of delegation.

• feat

  File Upload

  Workflows accept real documents now. Drop a PDF, CSV, or image into the run modal. Text files are inlined into prompts. Binary files are passed as references to your agent steps.

Enterprise Trust

• feat · compliance

  EU AI Act Compliance

  Risk classification per EU AI Act categories. Compliance mode that blocks high-risk workflows without human approval. Transparency reports (Article 13), Annex IV technical documentation, global emergency stop.

• feat · security

  Tamper-Evident Audit Trail

  SHA-256 hash chain on every event. Each entry links to the previous — if anyone modifies a record, the chain breaks. Verify integrity via API. 7 executor hooks + 9 admin action hooks. 3 query endpoints.

• feat · privacy

  Privacy Router

  7 PII patterns: email, phone, SSN, credit card, IP address, IBAN, date of birth. Per-workflow or per-server config. Redact sensitive data before it touches your LLM, or run in audit-only mode.

• feat · infra

  Browser Modes

  LightPanda (10x faster CDP, zero memory bloat) and Browserbase (cloud, zero cold-start) join E2B, Docker, and local as sandbox options. Playwright pre-baked in the Dockerfile. Switch backends with one env var.

• feat · observability

  OpenTelemetry

  Workflow and step-level OTLP spans. Cost, duration, and token counts on every trace. Compatible with Jaeger, Tempo, Honeycomb, Datadog. pip install sandcastle-ai[otel]

• feat · integrations

  5 New Connectors

  Langfuse (LLM observability), Qdrant (vector search), GCS (Google Cloud Storage), Azure Blob Storage, and Exa (semantic web search). 63 total connectors.

Reliability & Cost

• feat · cost

  Cost Estimation

  POST /runs/estimate tells you what a workflow will cost before you run it. Per-step breakdown with model pricing baked in. Set budget guardrails. Workflows that would exceed the budget are blocked before a single token is spent.

• feat · security

  Secret Scrubber

  Catches credential URLs, PEM keys, Azure AccountKey, and JSON-quoted secrets before they reach logs or LLM context. Two-layer defense. Idempotent — safe to run multiple times on the same payload.

• feat · quality

  Eval Framework

  Detects quality regressions with IEEE 754-safe integer basis points. No more floating-point false positives that cause flaky CI. Define expected outputs, run evals on every commit, catch regressions at 0.01 percentage point precision.

• feat · integrations

  Composio Integration

  500+ business app actions through a single step type. Gmail, Slack, Notion, Salesforce, HubSpot, and more — all wired in via the Composio connector. One auth flow, any tool, zero custom code.