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Roadmap

Upcoming features and planned capabilities

This page outlines features we're actively building or planning. Timelines are estimates and may change.

In Progress

Monitoring & Observability

Target: Q1 2026

Core observability infrastructure for understanding system behavior:

  • Logs — Structured runtime messages with contextual fields (Node, Project, Execution)
  • Traces — Step-by-step paths with timing across Nodes
  • Metrics — Quantitative indicators (counts, durations, error rates)

How you'll use it:

  • Inspect Executions to see logs and trace waterfalls
  • Drill from an erroring Node into its Action context
  • Compare metrics across Deploys to validate improvements

Current focus:

  • Consistent event schemas across Actions/Flows
  • Lightweight log ingestion with contextual fields
  • Trace propagation through Agent tool calls

tip: Log with intent — Emit concise, structured logs that capture what happened and why.


Planned

Chat Client

Target: Q2 2026

A customizable, embeddable chat widget connecting end-users directly to your Triform Agents.

Key features:

  • Single-line JavaScript integration
  • Customizable styling and branding
  • Rich media support (images, code, forms)
  • Built-in rate limiting and content filtering
  • Mobile SDKs (iOS, Android, React Native, Flutter)

Use cases: Customer support bots, product assistants, internal tools, e-commerce


Alerts

Target: Q2 2026

Proactive notifications when critical conditions occur.

Capabilities:

  • Define rules on logs, metrics, or evaluation scores
  • Send to email, chat, and webhooks
  • Group, dedupe, and throttle noisy signals
  • Link alerts to remediation runbooks

Example rules:

  • Error rate exceeds N% over M minutes
  • Evaluation score falls below threshold for k runs
  • Latency p95 exceeds T ms after deploy

Persistent Storage

Target: Q3 2026

Managed storage for state that persists across executions.

Use cases:

  • Session state for multi-turn conversations
  • Caching expensive computations
  • Storing user preferences
  • Accumulating data across runs

Evaluations

Target: Q3 2026

Automated quality assessment for AI outputs.

Capabilities:

  • Define evaluation criteria and scoring rubrics
  • Run evaluations on historical executions
  • Track quality trends over time
  • Set thresholds that trigger alerts

Community Library

Target: Q4 2026

Shared repository of reusable components.

Features:

  • Browse and search community contributions
  • One-click import into your Projects
  • Version management and updates
  • Rating and review system

Advanced Logging & Metrics

Target: Q4 2026

Extended observability capabilities.

Logging:

  • Structured logging with log levels
  • Advanced search and filtering
  • Log streaming (real-time tail)
  • External integrations (Datadog, Splunk, CloudWatch)

Metrics:

  • Custom metric definitions (counters, gauges, histograms)
  • Custom dashboards with drag-and-drop widgets
  • Metric-based alerting
  • External export (Prometheus, Graphite)

Traces (Advanced)

Target: Q4 2026

Enhanced execution tracing and analysis.

Capabilities:

  • Distributed tracing with span details
  • LLM-specific tracing (prompts, tool calls, token usage)
  • Cost attribution per span
  • OpenTelemetry export (Jaeger, Zipkin)
  • Flamegraph visualization

Schedules (Enhanced)

Target: 2027

Advanced scheduling capabilities.

Features:

  • Complex cron expressions
  • Timezone-aware scheduling
  • Schedule dependencies
  • Pause and resume schedules
  • Schedule versioning

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