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Blackbox

Blackbox

Analysis engine for AI coding session traces. Ingests JSONL logs from Claude Code, Codex CLI, or pi.dev, runs a 9-stage LLM pipeline, and surfaces root causes, recurring failures, and anti-patterns.

Demo

Session browser
Session browser

Root cause analysis in progress
Root cause analysis in progress

Aggregation of all findings
Aggregation of all findings

What it does

  • Multi-source ingestion — accepts traces from Claude Code, Codex CLI, pi.dev, and more
  • 9-stage LLM pipeline — classifies, analyzes root causes, clusters patterns, scores severity
  • Disk persistence + resume — stage outputs saved to disk; server restart picks up where it left off
  • DeepSeek V4 Pro support — json_object response format, retry logic, structured logging

How it works

flowchart TD
    subgraph Upload
        A["POST /analyze<br/>upload JSONL files"] --> B["Detect source<br/>_detect_source()"]
        B --> C["Normalize<br/>_normalize_file()"]
    end

    C --> D["Return 202 Accepted<br/>run_id → background task"]

    subgraph Pipeline
        P0["P0 Normalize<br/>count + index messages"]
        P1["P1 Classify<br/>LLM label each user turn<br/>batches run concurrently"]
        P2["P2 Context<br/>build windows around triggers"]
        P3["P3 Root-Cause<br/>LLM per trigger window"]
        P4a["P4a Behavior<br/>rule type + confidence"]
        P4b["P4b Cluster<br/>group recurring patterns"]
        P4c["P4c Convention<br/>dont_do / do_instead"]
        P5["P5 Aggregate<br/>deduplicate + score severity"]
        P6["P6 Scope<br/>map to repos + devs"]
    end

    subgraph Client
        POLL["GET /runs/:id<br/>poll status"]
        OUT["GET /runs/:id/findings<br/>recurring findings JSON"]
    end

    P0 --> P1
    P1 --> P2
    P2 --> P3
    P3 --> P4a
    P3 --> P4b
    P3 --> P4c
    P4a --> P5
    P4b --> P5
    P4c --> P5
    P5 --> P6
    P6 --> POLL
    POLL --> OUT
Loading

Quick Start

cp .env.example .env
# edit .env and add your OPENAI_API_KEY

uv run uvicorn src.main:app --host 0.0.0.0 --port 8000
uv run quickcall  # Launch TUI (connects to http://localhost:8000)

The API binds to 0.0.0.0 (all interfaces). The CLI defaults to localhost:8000. If the API is running on a different host or port, set BLACKBOX_API_URL before launching the TUI:

export BLACKBOX_API_URL=http://192.168.1.42:8000
uv run quickcall

Features

  • Multi-source session analysis (Claude, Codex, pi, Gemini, Cursor)
  • 9-stage LLM pipeline with live progress
  • Disk persistence + resume
  • DeepSeek V4 Pro support
  • 80 tests

Docs

License

Apache 2.0 — see LICENSE.

About

Analysis engine inside QuickCall — ingests AI coding session traces, runs multi-stage LLM pipeline, surfaces root causes and recurring failure patterns

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