> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tracelm.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Dashboard Guide

> Use TraceLM reliability views: tasks, loops, failures, context health, and feedback patterns

## Reliability Summary First

Start at `Dashboard -> First-Run Reliability Summary` (`/dashboard/first-run`).

This view brings reliability outcomes to the top:

* Deadlock/loop signals
* Context-loss signals
* Tool-call failure signals
* Unnecessary tool-call feedback patterns

## Tasks

Use task pages to inspect full execution cycles in one place.

Key views:

* Timeline: ordered `trace`, `tool_call`, and `loop` events
* Tool Calls: status, errors, latency, arguments/results
* Loops: repeated/circular/stuck patterns with severity
* Detection summary: tool matching, failures, context

## Conversations

Conversation views aggregate reliability across multi-turn user sessions.

Key views:

* `/context-failures`: typed context regressions
* `/context-health`: overall score + timeline + severity distribution
* `/trace-tree`: hierarchical trace/tool graph for root-cause analysis

## Feedback and Unnecessary Tool Patterns

From task detail pages, submit feedback on tool calls as:

* `necessary`
* `unnecessary`
* `unclear`

Then monitor:

* `/api/v1/feedback/patterns`
* `/api/v1/feedback/stats`

## Alerts

Default alerting is reliability-first and centers on:

* `execution_loop_detected`
* `tool_call_failures`
* `context_loss_detected`
* `unnecessary_tool_pattern`

Signal-based quality alerts remain available as secondary coverage.