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This release is about getting you from “new workspace” → “working agent” faster, while unlocking richer conversations (file uploads) and more precise agent behavior (advanced settings).

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TL;DR

  • 📎 Upload files directly in the chat widget (drag & drop, previews, validation)
  • 🧭 New guided tour that walks new users through building and testing a workflow
  • 🧱 New Space setup modal for faster “first agent space” creation (templates + video tutorial + empty canvas)
  • 🎛️ Advanced agent settings (temperature, top-p, verbosity, reasoning effort)
  • 🧩 Python SDK released for running workflows programmatically
  • ✍️ Workflow editor upgrades (validation, node UI, warnings, tool node configuration)
  • 🔌 MCP tools improvements (better discovery, validation, connection reliability)
  • 📈 Better in-product stats (message counts, cost tracking, improved conversation analytics)

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What’s new

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1) File upload in the chat widget (richer conversations)

You can now drag & drop files directly into the chat input (including embedded widget use cases): Supported file types
  • Images
  • PDFs
  • Text formats: txt, md, json, xml, csv
What you’ll see
  • Thumbnail previews before sending
  • Clear validation for size/type limits
  • Upload progress + error handling so you know what happened
Why it matters: your agents can work with real inputs (docs, spreadsheets, screenshots, structured JSON) instead of copy/paste—making support, onboarding, and internal workflows more useful.
Screenshot/GIF placeholder: “Drag & drop upload → preview → send in widget chat”

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2) Guided tour system (onboarding that actually helps)

New users now get an interactive guided tour that walks through:
  • The palette
  • Agent nodes
  • Testing runs
  • Publishing/deploying
Tour progress is saved so users can resume (or skip if returning). Why it matters: fewer “where do I start?” moments, faster activation, and less time spent guessing how to build a workflow.
Screenshot/GIF placeholder: “Guided tour steps highlighting key UI”

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3) Space setup modal (faster first setup)

Creating a new space is now guided with:
  • Template selection (carousel)
  • Video tutorial integration
  • “Empty canvas” for custom builds
  • Auto-creation flow for brand-new users
Why it matters: your first agent space is the hardest step—this reduces setup friction and gets users to a working workflow faster.
Screenshot/GIF placeholder: “Space setup modal with template carousel + video”

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4) Advanced agent settings (more control, better outputs)

We added advanced controls so you can fine-tune agent behavior per node:
  • Temperature (slider)
  • Top-P (slider)
  • Verbosity (low/medium/high)
  • Reasoning effort (minimal/low/medium/high) for supported reasoning models
  • Advanced mode toggle
  • Settings persist per agent node
Why it matters: you can tune agents for different jobs—creative drafting vs. strict extraction vs. tool-heavy workflows—without changing the entire system.
Screenshot/GIF placeholder: “Advanced settings panel on an agent node”

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5) Python SDK (run workflows programmatically)

We released a Python SDK for running SketricGen workflows from your own systems, with smoother integrations and file-handling support. Why it matters: teams can trigger workflows from internal services, scripts, and products—without rebuilding logic.
Note: Public docs link should point to the SDK install + quickstart.

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Enhancements (you’ll feel these while building)

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Workflow editor improvements

  • Clearer node display (Trigger node shows “Input”)
  • Collapsible EditorPanel sections
  • Better validation errors and connection warnings
  • Sticky node improvements + better color handling
  • Tool node configuration UI improvements
Why it matters: faster building, fewer configuration mistakes, clearer debugging during tests.

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Agent space upgrades

  • Improved workflow listing (filtering + search)
  • Better loading/error states
  • Better first-time auto-creation flow
Why it matters: less time navigating, more time iterating.

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MCP tools improvements (reliability + discovery)

  • Default MCP type updated (more reliable streaming behavior)
  • Better tool discovery, validation, and error handling
  • Improved MCP server connection logic
Why it matters: fewer “tool not found” moments and more consistent connectivity during runs.

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Stats & analytics improvements (user-facing visibility)

We improved in-product stats and tracking, including:
  • Message count tracking for agents
  • Better conversation analytics
  • Better cost tracking at the conversation level
  • Improved conversation detail support
Why it matters: clearer visibility into usage, performance, and cost drivers as you scale.

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Who this release is for

  • Teams embedding SketricGen chat and wanting file uploads (support, onboarding, internal tools)
  • New users who want a guided first build instead of guessing
  • Builders who need more control over agent behavior
  • Teams running tool-heavy workflows who want more reliable MCP discovery and execution
  • Developers who want to run workflows via Python

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How to use (quick steps)

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Upload a file in the chat widget

  1. Open chat (in-app or embedded widget)
  2. Drag & drop a file into the input (or select upload)
  3. Preview the file and confirm it passes validation
  4. Send the message and let the agent process it

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Run the guided tour

  1. Create a new workspace/space (or open onboarding)
  2. Start the guided tour
  3. Follow the steps: build → test → publish
  4. Skip anytime (returning users won’t be forced through it)

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Create a new Space using the setup modal

  1. Click Create Space
  2. Choose a template (or pick Empty Canvas)
  3. Watch the quick video if needed
  4. Auto-create and start testing immediately

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Tune an agent with advanced settings

  1. Open the agent node in the workflow
  2. Enable Advanced mode
  3. Adjust temperature/top-p/verbosity (and reasoning effort if available)
  4. Run a test message and iterate

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Use the Python SDK

  1. Install the SDK (see docs)
  2. Authenticate
  3. Trigger a workflow run from your Python app/script
  4. Use results in your system

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Hotfixes

No hotfixes appended to this release yet.
(If hotfixes happen later, append here as: Date — change (impact).)

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FAQ

What files can I upload in the chat widget?
Images, PDFs, and text formats like txt/md/json/xml/csv. You’ll see validation for supported types and size limits. Can users preview files before sending?
Yes—files show a preview (including thumbnails where relevant) before you send. Is file upload available in embedded chat widgets?
Yes—this release focuses on the widget upload experience, including drag & drop. What do advanced agent settings change?
They let you tune agent behavior per node (creativity vs. precision), and persist as part of the workflow configuration. What is the guided tour for?
A step-by-step onboarding flow to help new users build, test, and publish their first workflow quickly. Who is the Python SDK for?
Teams that want to run SketricGen workflows from their own backend services, scripts, or products.

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