Antigravity: Specifications & Operating Guide
Token amortization models, prompt caching mechanics, and autonomous agent fleet deployment economics.
Antigravity Token Quota & Pricing Sizer
Model monthly token consumption, prompt cache hit savings, and local vs cloud inference costs.
Community OSS
- 100% Local Ollama / vLLM execution
- 0kb JS static UI architecture
- Complete data privacy & air-gap compliance
- Zero token limits & rate caps
Pro Cloud Tier
- Hosted Claude 3.5 Sonnet & GPT-4o
- Prompt caching active (65% cache discount)
- Automated agent tool-use execution
- Sub-700ms response time benchmarks
Enterprise Fleet
- Parallel reasoning debate swarms
- 128k - 1M token dynamic context
- Dedicated edge routing & SLA guarantee
- Unified team key management
Step-by-Step Antigravity Pricing Instructions & Specifications
The Antigravity Specifications, Interactive Tools & Guides guide provides verified specifications, step-by-step instructions, and interactive calculation tools for antigravity pricing. Access technical tolerances, operational guidelines, and error-prevention checklists directly in your browser.
Baseline Quota Dimensioning
Measure your daily development cycle. An active autonomous agent generates between 30 and 100 conversational turns per day, with context window accumulation scaling from 16k tokens up to 128k tokens as project files are indexed.
Prompt Caching Econometrics
Modern provider APIs discount cached prompt prefix reads by 75% to 90%. Structuring system instructions and immutable repo files in the initial prompt segments maximizes cache hits, dramatically lowering per-turn billing.
Hybrid Cloud-Local Triage
Route high-volume exploratory tasks (syntax linting, documentation scans, test executions) to local quantized models via Ollama, reserving cloud frontier reasoning credits strictly for architectural planning and code edits.
Interactive Antigravity Sizing & Analysis Tool
Accurately forecasting operational expenses for agentic AI IDEs prevents unexpected billing spikes during intensive engineering sprints. Cross-reference your deployment parameters with companion guides:
Critical Engineering Tolerances & Operational Standards
Agentic execution introduces distinct architectural failure modes. Monitoring context degradation, token latency, and rate throttling is vital for continuous build integrity.
| System Dimension | Nominal Operating Spec | Degradation Limit | Mitigation Strategy |
|---|---|---|---|
| Context Window Depth | 32,000 – 64,000 tokens | > 128,000 tokens | Truncate historical tool logs and invoke subagents |
| Turn Step Cap | 20 – 40 steps / thread | 80 steps / thread | Enforce subagent task delegation protocol |
| Cache TTL Persistence | 300 seconds (5 min) | < 60 seconds | Maintain keep-alive heartbeats during long reviews |
| Output Latency (TTFT) | < 850 milliseconds | > 3,500 milliseconds | Step down to low-latency fast models for simple tasks |
| Memory Footprint (Local) | 16 GB VRAM (Qwen 7B) | > 32 GB unified memory | Employ 4-bit AWQ or GGUF quantization |
Operating Guidelines, Quality Adherence & Error Prevention
Subagent Fleet Partitioning
Avoid monolithic single-thread executions exceeding 80 planner turns. Partition complex features into isolated subagents with specialized roles (architect, designer, QA) to preserve context acuity.
Deterministic File Locks
When running concurrent subagent swarms, assign explicit non-overlapping directory paths to avoid race conditions or merge conflicts across generated assets.
Automated Fallback Circuits
Configure client API wrappers with automatic retry logic on 429 rate limit exceptions, falling back seamlessly from primary cloud endpoints to local Ollama backends.
Frequently Asked Questions About Antigravity
Frequently Asked Questions About Antigravity
The Antigravity Specifications, Interactive Tools & Guides guide provides verified specifications, step-by-step instructions, and interactive calculation tools for antigravity pricing. Access technical tolerances, operational guidelines, and error-prevention checklists directly in your browser.
How does prompt caching affect Antigravity operating expenses?
Antigravity agents maintain comprehensive architectural state in context. With 5-minute prompt cache persistence, subsequent agent turns read cached context at a 75% to 90% discount, decreasing net cloud API spend from over $140/mo down to approximately $48/mo.
Can Antigravity run on 100% free local hardware?
Yes. Antigravity connects directly to local Ollama and vLLM servers via OpenAI-compatible endpoints. Developers with Apple Silicon (M-series) or local NVIDIA RTX GPUs can run quantized coding models (such as Qwen 2.5 Coder) with zero recurring token fees.
What differentiates Community OSS from the Pro Cloud tier?
Community OSS focuses on local single-agent execution and offline privacy. Pro Cloud integrates hosted frontier reasoning models (Claude 3.5 Sonnet, GPT-4o), automated subagent swarms, and background parallel tool evaluation.