Changelog

Integration & Rerun Reliability

• •watch_compiled() — attach ARGUS to already-compiled graphs, no more "must call before compile()" trap
• •Reducer-aware state merging — list fields (messages, tool calls) now append correctly during reruns instead of being overwritten
• •HTTP recording — opt-in record_http=True captures all API calls for fully deterministic reruns
• •argus doctor — 5-second diagnostic command checks Python, LangGraph, storage, and rerun readiness
• •Renamed "replay" to "rerun" across all UI, CLI, and docs — honest about what it actually does
• •Live-call warning in CLI — explicitly tells users that external API calls execute live unless HTTP recording is enabled

Detection Engine Upgrade

• •7 new failure patterns: truncated outputs, retrieval quality, hallucinated success, confidence-behavior mismatch, shallow summaries, partial tool failures, corrupted structured output
• •Single-node rerun — re-run one node in isolation without rebuilding the full graph
• •Inline before/after diff shown in CLI immediately after rerun completes
• •AI investigation now wired into rerun results via stored node refs
• •14 new semantic signatures: hedging phrases, placeholder variants, corrupted markers
• •Short-string repetition detection fixed (N/A × 4 and similar patterns now caught)
• •Rerun tree visible in run detail Overview tab

Master-Detail UI & Factory-Free Rerun

• •Factory-free rerun — node function refs stored per-run, no --app flag required
• •Master-detail layout: resizable split panel, runs list left, full detail right
• •Overview tab: status card, pipeline overview, metrics grid, AI analysis summary, execution timeline, rerun branches
• •Pipeline tab: node-by-node inspector with expandable input/output per step
• •AI Analysis tab: LLM root cause investigation panel with confidence score
• •Correlations, State, and Logs tabs added

Beta Testing Rollout

• •LLM token/cost tracking — auto-extracts usage from node outputs, shows cost per node and total
• •Redesigned sidebar into Observe / Analyze sections
• •Rerun from subdirectories — runs recorded from child folders are now found and rerunnable
• •Changelog page with full version timeline
• •Report the Dev page for bug reports and feature requests
• •Restored and expanded test suite

Rerun wired to UI

• •Rerun from UI — hover any step, click "rerun from here", no CLI needed
• •App factory input persists to .argus/config.json automatically
• •Auto-compare after rerun — navigates to diff view showing original vs rerun
• •Eval metrics panel in compare page (failure count, severity, success rate)
• •--app flag on argus ui for startup config

Auto-login & interrupt stitching

• •Auto-login in argus ui — reads CLI credentials, no second OAuth flow
• •Interrupted runs + resume continuations stitched into a single merged view
• •Resume runs hidden from top-level list to avoid duplicates

Cloud storage

• •Google login and Supabase cloud storage
• •Background sync of runs to cloud

Web Dashboard

• •argus ui — web dashboard served by a pure-Python HTTP server, no Node.js required
• •Runs list with status, duration, pass rate stats
• •Per-run detail view with step-by-step inspection
• •Side-by-side run comparison at /compare
• •Zero extra dependencies — just Python

Silent failure enhancements

• •Strict mode for inspector
• •Nested error scan in tool outputs
• •Generic list type checking

Parallel Execution

• •Parallel nodes grouped in a parallel panel in argus show
• •Graph topology diagram above the step list
• •Silent failure detection is parallel-aware — only blames nodes for fields they wrote
• •Root cause chain excludes innocent parallel siblings

Run Differentiator

• •argus diff — compare any two runs node-by-node
• •Status changes with FIXED / REGRESSION labels
• •Inspection diff, validator result flips, output field deltas
• •Frozen node and duration change tracking

Tool Call Failure Detection

• •Detects error_response, rate_limit (HTTP 429), and empty_result from tool calls
• •Tool failures show inline under the node that swallowed them

Deterministic Replay

• •Replay plays back exact outputs from the original run — no live LLM calls
• •Reproducible replays with zero configuration

MVP

• •Core monitoring: ArgusWatcher for LangGraph, ArgusSession for any framework
• •Silent failure detection: missing fields, type mismatches, empty outputs
• •Semantic signature registry for placeholder/degraded LLM outputs
• •Root cause analysis chain
• •CLI: argus show, argus replay
• •Local storage in .argus/runs/