{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"windmill","slug":"windmill","name":"Windmill","type":"repo","url":"https://github.com/windmill-labs/windmill","page_url":"https://unfragile.ai/windmill","categories":["app-builders"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"windmill__cap_0","uri":"capability://code.generation.editing.multi.language.script.execution.with.auto.inferred.json.schemas","name":"multi-language script execution with auto-inferred json schemas","description":"Executes code in 13+ languages (Python, TypeScript, Go, Bash, Java, Rust, C#, PHP, Deno, Bun, Ansible, Nu, SQL) by routing to language-specific executors in windmill-worker that parse function signatures using language-specific parsers (windmill-parser-*) to automatically infer JSON schemas without manual type annotation. Workers poll PostgreSQL queue table using SELECT FOR UPDATE SKIP LOCKED, execute in sandboxed nsjail environments, and store results in completed_job table or S3, enabling polyglot workflow composition.","intents":["I want to write scripts in my preferred language and have them automatically exposed as APIs without boilerplate","I need to orchestrate heterogeneous services written in different languages in a single workflow","I want to avoid manual schema definition and let the system infer input/output types from code"],"best_for":["teams with polyglot codebases wanting unified execution","developers building internal tools without language constraints","organizations migrating legacy scripts to a managed platform"],"limitations":["Schema inference relies on function signature parsing — complex type unions or generics may not infer correctly","Sandbox isolation adds ~50-200ms overhead per execution depending on language","No built-in dependency version pinning across language runtimes — requires explicit lockfile management","SQL execution limited to read-only queries in some configurations for security"],"requires":["PostgreSQL 12+ for job queue and state storage","Language runtime installed on worker (Python 3.8+, Node.js 16+, Go 1.18+, etc.)","nsjail for sandboxing (Linux kernel 4.4+)","Rust backend compiled from source or Docker image"],"input_types":["function signatures with typed parameters","environment variables","JSON payloads","file paths (for file-based inputs)"],"output_types":["JSON-serializable return values","structured objects","file artifacts stored in S3 or local storage","streaming logs"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_1","uri":"capability://automation.workflow.openflow.based.workflow.orchestration.with.state.tracking","name":"openflow-based workflow orchestration with state tracking","description":"Composes multi-step workflows using OpenFlow specification (openflow.openapi.yaml) where modules execute sequentially or in parallel with full state tracking in PostgreSQL flow_status JSONB column. Each step can branch on conditions, loop over arrays, or call other flows/scripts, with intermediate results passed between steps via variable interpolation. The worker processes flow definitions by parsing the DAG, executing modules in dependency order, and persisting state after each step for resumability and debugging.","intents":["I need to build complex multi-step workflows with conditional branching and loops without coding","I want to see the execution state of each step and resume failed workflows from the last successful step","I need to compose existing scripts and APIs into higher-order business processes"],"best_for":["non-technical operators building data pipelines","teams automating business processes (approvals, notifications, data syncs)","developers building internal tools with complex orchestration needs"],"limitations":["No built-in distributed transaction semantics — partial flow failures require manual compensation logic","State serialization to JSONB adds ~10-50ms per step depending on payload size","Circular dependencies not detected at parse time — runtime errors only","Maximum recommended flow depth ~50 steps before performance degrades due to sequential state writes"],"requires":["PostgreSQL 12+ with JSONB support","Windmill backend and worker services running","Valid OpenFlow YAML definition conforming to openflow.openapi.yaml schema"],"input_types":["OpenFlow YAML definitions","JSON input payloads","environment variables","outputs from previous steps"],"output_types":["flow_status JSONB with step results","final output from last step","execution logs per step","artifacts (files, data exports)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_10","uri":"capability://tool.use.integration.client.libraries.for.programmatic.access.typescript.python.powershell","name":"client libraries for programmatic access (typescript, python, powershell)","description":"Provides official SDKs in TypeScript, Python, and PowerShell for programmatically calling Windmill scripts and flows from external applications. The SDKs handle authentication, request serialization, and response deserialization, with type hints generated from script schemas. Clients support both synchronous and asynchronous execution, polling for job completion, and streaming results. The SDKs are auto-generated from the OpenAPI spec (windmill-api/openapi.yaml) ensuring consistency with the API.","intents":["I want to call Windmill scripts from my application code without HTTP boilerplate","I need type-safe access to Windmill APIs with IDE autocompletion","I want to integrate Windmill into CI/CD pipelines or scheduled tasks"],"best_for":["developers embedding Windmill into larger applications","teams automating deployments and infrastructure tasks","organizations building on top of Windmill as a platform"],"limitations":["SDKs are auto-generated from OpenAPI spec — may lag behind actual API changes","Type hints are only as accurate as schema inference — complex types may lose information","No built-in retry logic — applications must implement their own","PowerShell SDK is minimal — lacks some features of TypeScript/Python versions"],"requires":["TypeScript 4.0+ or Python 3.8+ or PowerShell 5.1+","Windmill API endpoint and authentication token","npm/pip/PowerShell Gallery access for package installation"],"input_types":["script/flow path and parameters","execution options (timeout, priority)","authentication token"],"output_types":["job result (typed based on schema)","job ID for polling","execution logs"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_11","uri":"capability://data.processing.analysis.job.result.visualization.and.artifact.management","name":"job result visualization and artifact management","description":"Stores job results in PostgreSQL completed_job table with full execution context (inputs, outputs, logs, duration), and provides a web UI for browsing results with filtering by status, date, and user. Large payloads (>1MB) are stored in S3 with references in the database. Results can be visualized as tables, charts, or raw JSON depending on output type, and artifacts (files, exports) are downloadable. The system maintains result history per script/flow for trend analysis and debugging.","intents":["I want to see what happened when a script ran, including inputs, outputs, and logs","I need to download artifacts generated by scripts (reports, exports, etc.)","I want to analyze trends in script execution (success rate, duration, etc.)"],"best_for":["operators debugging failed jobs","teams auditing script execution for compliance","developers analyzing performance and failure patterns"],"limitations":["Result retention is unlimited by default — database can grow unbounded without cleanup policies","Visualization is basic (tables, charts) — complex custom visualizations require external tools","No built-in result comparison — manual inspection required to identify regressions","S3 storage requires external configuration — local storage limited to ~1GB per job"],"requires":["PostgreSQL 12+ for result storage","S3 or local storage for large artifacts","Web browser for UI access"],"input_types":["completed job ID","filter criteria (status, date range, user)"],"output_types":["job metadata (inputs, outputs, duration, user)","execution logs (stdout, stderr)","visualized results (table, chart, JSON)","downloadable artifacts"],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_12","uri":"capability://code.generation.editing.dependency.management.with.lockfile.generation.and.caching","name":"dependency management with lockfile generation and caching","description":"Automatically detects dependencies in scripts (imports, requires, use statements) and generates language-specific lockfiles (requirements.txt for Python, package-lock.json for Node.js, go.mod for Go, etc.) to ensure reproducible execution. Dependencies are cached on workers to avoid repeated downloads, and the system detects when lockfiles change to invalidate caches. The parser (windmill-parser-*) extracts imports from code and resolves them to specific versions, supporting both public registries and private package repositories.","intents":["I want to ensure scripts run with the same dependencies across different workers and time","I need to use specific versions of libraries without manually managing requirements files","I want to cache dependencies to speed up script execution"],"best_for":["teams managing many scripts with varying dependencies","organizations requiring reproducible execution for compliance","developers optimizing script startup time"],"limitations":["Dependency detection is heuristic-based — complex imports or dynamic requires may be missed","Lockfile generation requires network access to package registries — offline execution not supported","No built-in vulnerability scanning — outdated dependencies may have known CVEs","Cache invalidation is based on lockfile hash — manual cache clearing required for some edge cases"],"requires":["Language-specific package manager (pip, npm, go, etc.) installed on worker","Network access to package registries (PyPI, npm, etc.)","Disk space for dependency cache (~1GB per language)"],"input_types":["script code with import statements","language identifier"],"output_types":["generated lockfile (requirements.txt, package-lock.json, etc.)","cached dependencies on worker","dependency resolution errors"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_13","uri":"capability://tool.use.integration.webhook.based.job.triggering.with.signature.verification","name":"webhook-based job triggering with signature verification","description":"Exposes webhook endpoints for each script/flow that accept HTTP POST requests and enqueue jobs with the request payload as parameters. Webhooks support signature verification (HMAC-SHA256) to ensure requests come from trusted sources, and can be triggered by external services (GitHub, Slack, Stripe, etc.) without authentication. The system generates unique webhook URLs per script and supports custom headers and query parameters for routing. Webhook delivery is retried with exponential backoff if the job fails.","intents":["I want to trigger scripts from external services (GitHub, Slack, webhooks) without API keys","I need to verify webhook signatures to prevent unauthorized job execution","I want to integrate Windmill into event-driven architectures"],"best_for":["teams integrating Windmill with SaaS platforms (GitHub, Slack, Stripe)","developers building event-driven workflows","organizations automating responses to external events"],"limitations":["Webhook URLs are long and not user-friendly — require documentation or QR codes for sharing","No built-in rate limiting — high-volume webhooks can overwhelm workers","Signature verification is optional — misconfiguration can allow unauthorized access","Webhook delivery is fire-and-forget — no acknowledgment to caller if job fails"],"requires":["Script/flow deployed to Windmill","Webhook URL generated and shared with external service","Shared secret for signature verification (optional but recommended)"],"input_types":["HTTP POST request with JSON body","custom headers and query parameters","HMAC-SHA256 signature in Authorization header"],"output_types":["job ID for polling","HTTP 202 Accepted response","job result (if synchronous execution)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_2","uri":"capability://code.generation.editing.auto.generated.rest.apis.and.uis.from.scripts","name":"auto-generated rest apis and uis from scripts","description":"Automatically exposes any script as a REST API endpoint and generates a web form UI by introspecting the inferred JSON schema. The API server (windmill-api) creates routes dynamically for each script, accepting JSON payloads that map to function parameters. The frontend (SvelteKit) renders form components based on schema type (string, number, object, array) with validation, and submits to the API which enqueues a job. Results are returned synchronously for short-running scripts or via polling/webhooks for long-running jobs, eliminating manual API/UI boilerplate.","intents":["I want to turn a Python script into a web form and API without writing HTTP handlers","I need to expose internal tools to non-technical users without building a custom UI","I want to version-control my business logic as code while auto-updating the API contract"],"best_for":["solo developers building internal tools rapidly","teams with strong backend skills but limited frontend resources","organizations standardizing on code-first infrastructure"],"limitations":["Generated UIs are functional but basic — complex custom layouts require App Builder (separate capability)","Schema inference limitations propagate to API validation — edge cases in type unions may accept invalid inputs","No built-in API versioning — breaking schema changes immediately affect all clients","Synchronous API responses timeout after ~30s; long-running scripts must use async patterns"],"requires":["Script deployed to Windmill with valid inferred schema","API key or OAuth token for authentication","HTTP client (curl, SDK, browser)"],"input_types":["JSON request body matching script parameters","URL query parameters (for simple types)","form-encoded data"],"output_types":["JSON response with script result","HTTP status codes (200, 400, 500, 504 for timeout)","job ID for async execution","HTML form (when accessed via browser)"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_3","uri":"capability://automation.workflow.cron.based.job.scheduling.with.timezone.and.concurrency.control","name":"cron-based job scheduling with timezone and concurrency control","description":"Schedules scripts and flows to run on cron expressions with timezone awareness, storing schedule definitions in PostgreSQL and using a background scheduler service to enqueue jobs at the specified times. The scheduler respects concurrency limits per script (preventing duplicate runs if previous execution hasn't completed) and supports both simple cron syntax and human-readable schedules. Failed scheduled jobs are retried with exponential backoff, and execution history is logged for audit and debugging.","intents":["I want to run data syncs, reports, or cleanup tasks on a schedule without managing cron servers","I need to prevent concurrent executions of the same job to avoid race conditions","I want to see when scheduled jobs ran and why they failed"],"best_for":["teams automating routine maintenance and data pipelines","organizations needing audit trails for scheduled operations","developers replacing ad-hoc cron jobs with managed scheduling"],"limitations":["Scheduler runs as a single service — no built-in high availability (requires external orchestration like Kubernetes)","Cron precision is minute-level; sub-minute scheduling not supported","Timezone handling relies on system tzdata — DST transitions may cause missed runs if not configured correctly","No built-in rate limiting across all scheduled jobs — resource exhaustion possible with many concurrent schedules"],"requires":["PostgreSQL 12+ for schedule storage","Windmill scheduler service running (separate from worker)","Valid cron expression (standard 5-field format or extended 6-field with seconds)"],"input_types":["cron expression string","timezone identifier (IANA format)","concurrency limit (integer)","script/flow ID"],"output_types":["job enqueued in queue table","execution history with timestamps","failure logs with retry count"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_4","uri":"capability://code.generation.editing.grid.based.app.builder.with.component.binding.and.javascript.expressions","name":"grid-based app builder with component binding and javascript expressions","description":"Provides a visual editor (frontend/src/lib/components/apps/) for building internal tool UIs by dragging components onto a grid, binding them to scripts/flows via JavaScript expressions that evaluate in the browser. Components (buttons, tables, forms, charts) can reference script outputs, user inputs, and state variables; expressions are sandboxed and re-evaluated reactively when dependencies change. Apps are stored as JSON definitions in PostgreSQL and rendered server-side or client-side depending on complexity, supporting both static and dynamic layouts.","intents":["I want to build custom dashboards and internal tools without writing HTML/CSS","I need to bind UI components to backend scripts with live data updates","I want to create multi-step forms that conditionally show fields based on user input"],"best_for":["non-technical business users building internal tools","teams needing rapid UI iteration without frontend developers","organizations standardizing on a single platform for all internal tools"],"limitations":["Expression evaluation in browser adds latency for large datasets (>10k rows) — no server-side rendering optimization","Component library is limited compared to React/Vue ecosystems — custom components require JavaScript coding","No built-in responsive design — layouts may break on mobile without manual adjustment","Expression sandbox is not cryptographically secure — untrusted user input in expressions could leak data"],"requires":["Windmill backend with app storage","Modern browser with JavaScript support","Scripts/flows deployed to bind to components"],"input_types":["component type (button, table, form, etc.)","JavaScript expressions for binding","CSS for styling","script/flow IDs for data sources"],"output_types":["rendered HTML/CSS UI","JSON app definition","execution results from bound scripts","user interaction events"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_5","uri":"capability://safety.moderation.multi.tenant.workspace.isolation.with.rbac.and.resource.sharing","name":"multi-tenant workspace isolation with rbac and resource sharing","description":"Implements workspace-level isolation where each tenant has separate scripts, flows, apps, and secrets stored in PostgreSQL with workspace_id foreign keys. Role-based access control (RBAC) defines permissions (admin, developer, viewer) per workspace, and resource sharing allows fine-grained access to specific scripts/flows. Secrets are encrypted at rest and scoped to workspaces, preventing cross-tenant data leakage. The API enforces workspace membership checks on every request, and audit logs track all resource access and modifications.","intents":["I need to run Windmill as a multi-tenant SaaS platform with isolated customer data","I want to grant different team members different permission levels (admin, developer, viewer)","I need to share specific scripts/flows with external partners without exposing the entire workspace"],"best_for":["SaaS platforms built on Windmill","enterprises with strict data isolation requirements","teams managing multiple projects with different access levels"],"limitations":["Workspace isolation is logical (not physical) — shared PostgreSQL database means potential side-channel attacks via timing analysis","No built-in cross-workspace resource sharing — requires manual API calls to copy resources","Audit logs stored in same database as operational data — no separation of concerns for compliance","RBAC is coarse-grained (workspace-level) — no row-level security within scripts"],"requires":["PostgreSQL 12+ with row-level security (RLS) enabled for enhanced isolation","Workspace creation API call with initial admin user","Authentication provider (OAuth, SAML, or local auth)"],"input_types":["workspace name and metadata","user email and role assignment","resource IDs for sharing"],"output_types":["workspace_id for all subsequent operations","access tokens scoped to workspace","audit log entries with user, action, resource, timestamp"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_6","uri":"capability://code.generation.editing.ai.assisted.code.generation.for.scripts.and.flows","name":"ai-assisted code generation for scripts and flows","description":"Integrates with LLM APIs (OpenAI, Anthropic) to generate script boilerplate and flow definitions from natural language descriptions. Users describe what they want (e.g., 'fetch data from Postgres and send to Slack'), and the AI generates executable Python/TypeScript code or OpenFlow YAML with proper error handling and type hints. Generated code is inserted into the editor with syntax highlighting and can be immediately tested, reducing time-to-first-execution for common patterns.","intents":["I want to quickly scaffold scripts without writing boilerplate","I need to generate workflow definitions from business requirements","I want AI to suggest code improvements and refactorings"],"best_for":["developers unfamiliar with a language wanting to learn by example","teams rapidly prototyping internal tools","non-technical users describing workflows in natural language"],"limitations":["Generated code quality depends on LLM capability — may require manual fixes for complex logic","API calls to LLM add 2-5s latency per generation","No built-in cost control — unbounded LLM usage can lead to high bills","Generated code may not follow team conventions or security best practices"],"requires":["OpenAI API key or Anthropic API key configured in Windmill","Network access to LLM provider","Sufficient API quota/credits"],"input_types":["natural language description","existing code snippets for context","language preference (Python, TypeScript, etc.)"],"output_types":["generated script code with type hints","generated OpenFlow YAML","syntax-highlighted code in editor"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_7","uri":"capability://safety.moderation.resource.management.with.encrypted.secrets.and.dynamic.credentials","name":"resource management with encrypted secrets and dynamic credentials","description":"Manages sensitive data (API keys, database credentials, OAuth tokens) in a secrets store encrypted at rest in PostgreSQL, with support for dynamic credential generation (e.g., temporary AWS STS tokens, database connection strings). Resources are scoped to workspaces and can be referenced in scripts via environment variables or direct API calls. The system supports resource types (database, API, OAuth provider) with connection pooling and health checks, and logs all secret access for audit purposes without exposing the actual values.","intents":["I want to store API keys and credentials securely without hardcoding them in scripts","I need to rotate credentials automatically without updating all scripts","I want to audit who accessed which secrets and when"],"best_for":["teams managing multiple integrations with external services","organizations with compliance requirements (SOC2, HIPAA)","developers building scripts that need database or API access"],"limitations":["Encryption key management is manual — no built-in key rotation","Dynamic credentials require provider-specific SDKs — not all services supported","Secret access logs don't show the actual values — debugging requires manual verification","No built-in expiration enforcement — expired credentials may silently fail"],"requires":["PostgreSQL 12+ for encrypted storage","Encryption key configured in environment (WINDMILL_ENCRYPTION_KEY)","Resource type definition (database, API, OAuth)"],"input_types":["secret name and value","resource type and connection parameters","credential expiration time (optional)"],"output_types":["environment variable injected into script execution","connection object for database/API access","audit log entry with timestamp and user"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_8","uri":"capability://automation.workflow.job.queue.with.polling.and.result.persistence","name":"job queue with polling and result persistence","description":"Implements an asynchronous job queue in PostgreSQL (queue table) where API requests insert jobs with parameters, and workers poll using SELECT FOR UPDATE SKIP LOCKED to claim jobs atomically without race conditions. Workers execute jobs in isolated processes, capture stdout/stderr, and persist results in completed_job table or S3 for large payloads. The queue supports priority levels, retry logic with exponential backoff, and timeout enforcement, enabling reliable execution at scale without message brokers.","intents":["I want to execute long-running scripts without blocking API responses","I need reliable job execution with automatic retries and timeout handling","I want to scale execution by adding more workers without changing application code"],"best_for":["teams building internal tools with variable execution times","organizations needing reliable job execution without Kafka/RabbitMQ","developers scaling from single-server to multi-worker deployments"],"limitations":["PostgreSQL polling adds ~100-500ms latency per job claim depending on poll interval","No built-in job deduplication — duplicate requests create duplicate jobs","Result persistence to S3 requires external storage configuration — local storage limited to ~1GB per job","No built-in job priority queue — all jobs processed FIFO within priority level"],"requires":["PostgreSQL 12+ with SKIP LOCKED support","Worker service running and connected to same database","S3 or local storage for large result payloads"],"input_types":["script/flow ID and parameters","priority level (0-10)","timeout in seconds","retry count"],"output_types":["job ID for polling","job status (queued, running, completed, failed)","result payload (JSON or file reference)","execution logs"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__cap_9","uri":"capability://code.generation.editing.language.server.integration.for.ide.support","name":"language server integration for ide support","description":"Provides Language Server Protocol (LSP) support for Windmill scripts, enabling syntax highlighting, autocompletion, and error checking in VS Code and other LSP-compatible editors. The LSP server (lsp/) understands Windmill's schema inference and provides completions for script parameters, imported modules, and resource references. Type checking is performed using language-specific type checkers (mypy for Python, tsc for TypeScript) integrated into the LSP, surfacing errors in the editor before execution.","intents":["I want to develop Windmill scripts in my local IDE with full IDE features","I need type checking and autocompletion for script parameters and resources","I want to sync scripts between my local editor and Windmill without manual copying"],"best_for":["developers preferring local development over web editor","teams with existing IDE workflows wanting to integrate Windmill","organizations requiring offline development capability"],"limitations":["LSP server must be running separately — adds deployment complexity","Schema inference in LSP may lag behind actual Windmill inference — type mismatches possible","No built-in sync between local editor and Windmill — requires manual push/pull via CLI","Type checking is language-specific — not all languages have equally robust type checkers"],"requires":["VS Code 1.50+ or other LSP-compatible editor","Windmill LSP server running (Python-based, requires Python 3.8+)","Language-specific type checker installed (mypy, tsc, etc.)"],"input_types":["script file in local editor","Windmill workspace configuration"],"output_types":["syntax highlighting","autocompletion suggestions","error diagnostics","hover documentation"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"windmill__headline","uri":"capability://automation.workflow.open.source.workflow.automation.platform","name":"open-source workflow automation platform","description":"Windmill is an open-source platform that automates workflows by transforming scripts in multiple programming languages into user-friendly applications, APIs, and scheduled jobs, making it ideal for building internal tools.","intents":["best open-source workflow automation platform","workflow automation platform for internal tools","open-source tool for building apps from scripts","best platform for automating workflows with code","how to create internal tools using Windmill"],"best_for":["developers looking to automate internal processes","teams needing to build custom applications quickly"],"limitations":[],"requires":[],"input_types":["Python","TypeScript","Go","SQL scripts"],"output_types":["UIs","APIs","cron jobs"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":55,"verified":false,"data_access_risk":"high","permissions":["PostgreSQL 12+ for job queue and state storage","Language runtime installed on worker (Python 3.8+, Node.js 16+, Go 1.18+, etc.)","nsjail for sandboxing (Linux kernel 4.4+)","Rust backend compiled from source or Docker image","PostgreSQL 12+ with JSONB support","Windmill backend and worker services running","Valid OpenFlow YAML definition conforming to openflow.openapi.yaml schema","TypeScript 4.0+ or Python 3.8+ or PowerShell 5.1+","Windmill API endpoint and authentication token","npm/pip/PowerShell Gallery access for package installation"],"failure_modes":["Schema inference relies on function signature parsing — complex type unions or generics may not infer correctly","Sandbox isolation adds ~50-200ms overhead per execution depending on language","No built-in dependency version pinning across language runtimes — requires explicit lockfile management","SQL execution limited to read-only queries in some configurations for security","No built-in distributed transaction semantics — partial flow failures require manual compensation logic","State serialization to JSONB adds ~10-50ms per step depending on payload size","Circular dependencies not detected at parse time — runtime errors only","Maximum recommended flow depth ~50 steps before performance degrades due to sequential state writes","SDKs are auto-generated from OpenAPI spec — may lag behind actual API changes","Type hints are only as accurate as schema inference — complex types may lose information","builder identity is not verified yet","no observed match outcomes 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