January focused on visibility. Custom observability dashboards let teams build the monitoring views they need, token pricing provides per-run token costs, and a round of UI improvements makes everyday workflows faster.
Custom Observability Dashboards
Teams can now build custom dashboards to monitor agents for their specific needs. Create multiple dashboards per project, add widgets, rearrange them with drag-and-drop, and adjust the time window with a date range picker.
Four widget types are available out of the box:
- ✓Area charts: Visualize runs, token usage, latency, or cost over time with grouping by agent, status, or model
- ✓Horizontal bar charts: Compare metrics across agents, models, or connectors at a glance
- ✓Stat cards: Single-number KPIs like total runs, average latency, success rate, or token cost
- ✓Logs list: A live feed of recent agent runs with status, duration, and error details
Every widget is configurable. Pick a metric, choose how to aggregate it, filter by agent or connector, and pick the visualization that makes the data clearest. Dashboards are saved per project and accessible from the new Observability tab in the project sidebar.
Token Pricing & Cost Tracking
Agent costs are now visible. Connic ships with pricing data for popular models from OpenAI, Anthropic, Google, and others. Each run shows its token cost in the configured native currency based on the tokens it consumed and the model it used.
Pricing covers four token categories:
- •Input tokens: Prompt and context sent to the model
- •Output tokens: Generated response from the model
- •Cached input tokens: Tokens served from cache at a reduced rate
- •Thinking tokens: Reasoning tokens used by models with extended thinking
Global defaults work automatically, but model pricing can be overridden per project under Settings > Token Pricing. This is especially useful for fine-tuned models or custom provider rates. Cost data also feeds into the new dashboard widgets. Teams can chart spending over time or compare costs across agents.
Dashboard UI Improvements
Several pages received usability improvements this month:
- •Connector overview: The connector list now shows live stats per connector, including total runs, success rate, and when it was last triggered
- •Connector detail: Expanded view with a configurable time range for run statistics and a cleaner layout for linked agents
- •Runs table: Now includes token cost so expensive runs stand out at a glance
- •Pricing page: Redesigned feature comparison with expandable sections for Features, Support & Enterprise, and Compliance
- •404 page: A proper not-found page so dead links no longer land on a blank screen
llms.txt
We now publish a llms.txt file at the root of our website. This follows the emerging llms.txt standard and gives AI assistants a structured overview of Connic, including links to our documentation, connector guides, feature pages, and more.
Cursor, Claude, ChatGPT, and other AI coding assistants can now understand what Connic does and reference the right documentation while teams build and configure agents.