spectra_cli 0.1.5
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A Multi-LLM Spec-Driven Development System.
Spectra #
A Multi-LLM Spec-Driven Development System written in Dart

AI-driven development often leads to technical debt, inconsistent patterns, and "AI hallucinations" that break your build.
Spectra fixes that. It's the multi-agent context engineering layer that makes LLMs (Gemini, Claude, OpenAI, Grok, DeepSeek) reliable for real software engineering.
Use Spectra your way:
- π€ Automatic: AI plans AND implements code
- π€ Manual: AI plans tasks, YOU implement (NEW in v0.1.5)
- π€ Interactive: AI suggests, you review
THIS is how you build systems that actually last.
Perfect for developers who want smart planning without losing control of their code.
Installation #
dart pub global activate spectra_cli
Use it: spectra
Why I Built This #
I'm an engineer who loves building, not babysitting LLMs.
Most AI tools treat code like a single-shot generation problem. They lack "living memory" of your project state and fail when projects grow beyond a few files. I didn't want a "chat with your code" tool; I wanted a Spec-Driven Execution Engine that respects my architecture, follows my conventions, and doesn't forget decisions made three days ago.
So I built Spectra. It's designed for small-to-medium projects (1β50 files) where precision matters more than volume.
- Context Engineering: Strict line limits and structured state tracking.
- XML Prompting: Optimized for LLM precision (especially Claude & Gemini).
- Multi-LLM Agnostic: Switch between Gemini-3.0, Claude-4.5, GPT-5, Grok-4.1, and DeepSeek-V3.2 with ease.
- Git Native: Every task is an atomic commit with clear rationale.
Spectra allows me to focus on high-level architecture while it handles the implementation and verification. It's the system I trust to get work done.
How It Works #
1. Configuration (First-time setup) #
spectra config
Spectra will prompt you for your API keys for Google Gemini, OpenAI, Anthropic Claude, xAI Grok, and DeepSeek. These are stored securely encrypted in ~/.spectra/.secure/ using machine-specific encryption.
NEW: You can now configure separate providers for:
- Planning Provider: Strategic tasks (plan, map, architecture analysis)
- Coding Provider: Tactical tasks (execute, worker agents, code generation)
Recommended: Claude for planning, Gemini Flash for coding. See LLM Usage Types for details.
2. New Projects (Greenfield) #
spectra new
Interactive onboarding. Spectra asks about your project vision, tech stack, and constraints. It initializes the .spectra/ directory with your "Living Memory".
3. Existing Projects (Brownfield) #
spectra map
Scans your existing repository to extract architecture, naming conventions, and tech stack into the .spectra/ context. Spectra learns your style before it writes a single line of code.
4. Plan & Orchestrate #
spectra plan "Auth Implementation"
spectra start --workers 3
The Planner breaks your roadmap into 2β5 atomic tasks. While spectra execute runs tasks sequentially, spectra start launches a Multi-Agent Orchestrator inspired by Gastown.
- Mayor Agent: Coordinates task assignment.
- Worker Agents: Parallel executors that implement tasks.
- Witness Agent: Monitors health and detects stuck workers.
Monitor in real-time: While spectra start is running, you can use spectra progress in another terminal to see the live status of all active agents and their assigned tasks. For a visual experience, run spectra dashboard to launch a web-based monitoring UI.
Use Spectra Your Way #
Spectra adapts to your workflow with flexible execution modes:
π€ Automatic Mode (Default) #
AI plans AND implements code automatically. Best for rapid prototyping.
spectra plan "Features" β spectra execute
# AI does everything
π€ Manual Mode (Planning Only) #
AI plans, YOU code. Use Spectra as a planning tool only.
spectra plan "Features" β spectra execute --manual
# AI creates task breakdown
# You implement in your IDE
π€ Interactive Mode #
AI suggests code, you review and approve. Best for production.
spectra execute # Review each file before applying
Choose what works for you. See Execution Modes for details.
LLM Usage Optimization #
Spectra intelligently separates LLM usage into Planning and Coding tasks for maximum efficiency:
Why Separate Planning from Coding? #
Different tasks need different strengths:
- Strategic Planning β Strong reasoning, architectural thinking (Claude, GPT-5)
- Tactical Coding β Fast generation, syntax accuracy (Gemini Flash, DeepSeek)
Cost Optimization:
- Planning happens once per phase β Use powerful models ($0.50)
- Coding happens many times β Use fast models ($2.00 for 50 tasks)
- Result: $2.50 total vs $25 with expensive models everywhere (90% savings!)
Architecture Overview #
βββββββββββββββββββββββββββββββ βββββββββββββββββββββββββββββββ
β π― PLANNING (Strategic) β β π» CODING (Tactical) β
βββββββββββββββββββββββββββββββ€ βββββββββββββββββββββββββββββββ€
β β β β
β Commands: β β Commands: β
β β’ spectra plan β β β’ spectra execute β
β β’ spectra map β β β’ spectra start (workers) β
β β β β
β Agents: β β Agents: β
β β’ Mayor (coordination) β β β’ Workers (implementation) β
β β’ Witness (monitoring) β β β
β β β β
β Recommended: β β Recommended: β
β β’ Claude (reasoning) β β β’ Gemini Flash (speed) β
β β’ GPT-5 (balanced) β β β’ DeepSeek (code-focused) β
β β β β
β Frequency: LOW β β Frequency: HIGH β
β Cost/Use: HIGH β β Cost/Use: LOW β
βββββββββββββββββββββββββββββββ βββββββββββββββββββββββββββββββ
Provider Comparison #
For Planning (Strategic Tasks)
| Provider | Reasoning | Speed | Cost | Recommendation |
|---|---|---|---|---|
| Claude | βββββ | βββ | π°π°π° | Best |
| GPT-5 | ββββ | ββββ | π°π°π° | Great |
| Gemini Pro | βββ | βββββ | π°π° | Good |
For Coding (Tactical Tasks)
| Provider | Code Quality | Speed | Cost | Recommendation |
|---|---|---|---|---|
| Gemini Flash | ββββ | βββββ | π° | Best |
| DeepSeek | βββββ | ββββ | π° | Great |
| GPT-5 Mini | ββββ | ββββ | π°π° | Good |
Recommended Configurations #
Balanced (Most Projects)
Planning: Claude (best reasoning)
Coding: Gemini Flash (fastest, cheapest)
Mode: Automatic
Cost-Optimized
Planning: Gemini Flash
Coding: DeepSeek
Mode: Automatic
Savings: Up to 95%
Speed-First
Planning: Gemini Pro
Coding: Gemini Flash
Mode: Automatic
Speedup: 3-4x faster
Planning-Only (Manual)
Planning: Claude
Mode: Manual
Cost: Just planning (~$0.50 per phase)
You: Implement code yourself
Cost & Speed Examples #
20-Task Project
| Configuration | Planning | Coding | Total | Time |
|---|---|---|---|---|
| Claude Only | $0.50 | $20.00 | $20.50 | 64s |
| Claude + Gemini | $0.50 | $1.50 | $2.00 | 19s |
| Manual Mode | $0.50 | $0.00 | $0.50 | You code |
Savings with dual providers: 90% cost, 70% time!
Usage Examples #
Example 1: Cost-Optimized Automation
$ spectra config
Planning Provider: Claude
Coding Provider: Gemini Flash
Mode: Automatic
$ spectra plan "E-commerce Platform"
β
50 tasks planned with Claude ($0.50)
$ spectra start --workers 5
β
All 50 tasks completed with Gemini ($3.00)
Total: $3.50 (vs $25 with Claude only)
Savings: 86%
Example 2: Planning-Only Workflow
$ spectra config
Planning Provider: Claude
Mode: Manual
$ spectra plan "Full Stack App"
β
AI creates 20 task breakdown
$ spectra execute --manual
π 20 tasks displayed with details
# You implement in your IDE
Total: $0.50 for planning only
Example 3: Mixed Workflow
# AI handles boilerplate
$ spectra plan "Models & Config"
$ spectra execute # AI generates
# You handle business logic
$ spectra plan "Payment Processing"
$ spectra execute --manual # You implement
Why It Works: Context Engineering #
Spectra maintains a "Living Memory" in the .spectra/ directory. Every file has strict line limits to prevent LLM context degradation.
| File | Purpose |
|---|---|
PROJECT.md |
Core vision, tech stack, and constraints (Immutable) |
ROADMAP.md |
High-level phases and milestones |
STATE.md |
Current technical decisions & blockers (Auto-pruned) |
PLAN.md |
Atomic tasks in XML format |
SUMMARY.md |
Results of the last execution |
ISSUES.md |
Deferred enhancements and technical debt |
When STATE.md grows too large, Spectra automatically archives older decisions to history/, keeping the most relevant context at the forefront.
Commands #
| Command | Description |
|---|---|
new |
Interactive onboarding to start a new project |
map |
Analyze existing repository architecture (Brownfield) |
plan |
Break a roadmap phase into atomic XML tasks |
execute |
Parse plans, apply changes, and commit to Git (Sequential) |
start |
Launch the Multi-Agent Orchestrator (Parallel execution) |
dashboard |
Launch web UI for real-time agent monitoring |
progress |
CLI dashboard of completed vs. upcoming phases |
resume |
Detect interrupted states and pick up where you left off |
config |
Set up API keys for Gemini, Claude, OpenAI, Grok, and DeepSeek |
Who This Is For #
Creative engineers who want to build complex systems without being bogged down by manual implementation details.
If you want to define the what and have a system you trust handle the howβwhile maintaining full architectural controlβSpectra is for you.
Learn More #
Want deeper insights? Check out our comprehensive guides:
Core Features:
- Execution Modes - Automatic, Manual, Interactive workflows
- LLM Usage Types - Provider optimization strategies
- Security Features - Encryption implementation details
Technical Deep Dives:
- Architecture - LLM separation design
- Testing Guide - Running and writing tests
- Migration Guide - Upgrading from v0.1.4
Security Features #
Spectra takes security seriously, especially when handling sensitive API keys:
- Encrypted Storage: All API keys are encrypted using machine-specific encryption before being stored
- No Plain Text: API keys are never stored in plain YAML or configuration files
- Automatic Migration: Legacy plain-text configs are automatically migrated to encrypted storage on first use
- Secure Key Derivation: Encryption keys are derived from system-specific information using PBKDF2 with 10,000 iterations
- Local-Only Storage: All credentials remain on your machine in
~/.spectra/.secure/
Your API keys are as secure as your machine's filesystem permissions.
Roadmap / TODO #
Future enhancements planned for Spectra:
- β Expand Test Coverage β Integration tests for commands and end-to-end workflows β
- β Security Hardening β Encrypted storage for API keys with automatic migration β
- β Metrics & Telemetry β Track agent performance, task completion times, and LLM costs over time
- β Plugin System β Allow custom LLM providers and agent types via plugins
- β Web Dashboard β Real-time browser UI for monitoring agents, built with Jaspr
- β Task Dependencies β Support for task ordering and prerequisite chains in
PLAN.md - β Rollback Support β Automatic Git rollback when a task fails verification
Contributions welcome! Feel free to open issues or pull requests on GitHub.
License #
MIT License. See LICENSE for details.
Spectra: Precision-guided software engineering.