Know what your AI spends.
Before the invoice tells you.
Chau7 tracks what your AI agents spend, what tokens they burn, and where the money goes. Context Token Optimization strips terminal noise before your AI reads it, saving ~40% on tokens. Numbers instead of vibes.
Why does agent cost visibility matter?
Every time an AI agent reads your terminal output, it consumes tokens. Every token costs money. And terminal output is full of garbage your AI pays for but cannot use.
Terminal output is noisy
ANSI escape codes for colors. Progress bar frames that update 60 times per second. Spinner animations. Repeated whitespace. Your AI reads all of it, pays for all of it, and learns nothing from most of it.
Tokens add up fast
A single AI coding session can consume thousands of tokens just reading terminal output. Multiply that by sessions per day, days per month, and team members. The bill gets large while the waste stays invisible.
Chau7 optimizes both sides
Chau7 reduces what goes in (Context Token Optimization strips noise) and shows what comes out (cost tracking, token counting, latency tracking). You manage less. Your AI wastes less. Your bill shrinks.
We could have called it "AI Context Efficiency Orchestration." But we named our terminal after a sock, so honestly we are not qualified to name things. We went with CTO.
How does Chau7 Context Token Optimization work?
Chau7 Context Token Optimization intercepts terminal output before it reaches your AI agent and strips everything that wastes tokens without conveying meaning.
ANSI escape codes
Color codes, cursor movement, scroll regions, text formatting. All of these are escape sequences that AI models parse as literal characters. Chau7 CTO removes them so your AI reads clean text instead of encoded noise.
Progress bars and spinners
Progress bars rewrite the same line hundreds of times. Spinner frames cycle through characters at 60fps. Chau7 CTO collapses these into a single meaningful line: the final state.
Redundant whitespace
Trailing spaces, blank line runs, tab padding for visual alignment. Chau7 CTO normalizes whitespace so your AI gets content, not formatting artifacts.
~40% savings, zero config
Chau7 CTO saves approximately 40% on context tokens per session. It is enabled by default and requires no configuration. The savings appear immediately in your token counts and your costs.
Per-tab override
CTO per-tab override lets you toggle Context Token Optimization on or off for individual tabs. Full optimization on your Claude Code tab. Raw output on your debug session. Each tab gets exactly the behavior you want.
How does Chau7 track AI costs?
Chau7 cost tracking shows you dollars and cents for every AI interaction. Per call, per session, per month. The numbers your AI provider charges but never shows you in real time.
Dollars per API call
Every API call shows its cost in dollars based on model-specific token pricing. Chau7 cost tracking applies the correct rate for the model your agent is using, whether that is Claude, GPT, Gemini, or another provider.
Session totals
Chau7 aggregates costs per AI session so you see exactly how much a coding task cost from start to finish. No more wondering whether that refactoring session was worth $2 or $20.
Monthly rollups
Chau7 cost tracking provides monthly spend visibility so you know where the budget is going before the invoice arrives. Spot trends. Set expectations. Avoid surprises.
All local
Cost data is computed and stored locally on your Mac. No data leaves your machine. No cloud analytics. No third-party dashboard. Just your numbers, on your hardware.
How does Chau7 count tokens?
Chau7 token counting shows input tokens and output tokens for every API call. The raw numbers behind the dollar amounts, visible in real time as your AI works.
Input tokens per call
See exactly how many tokens your AI consumes reading context, terminal output, and conversation history on every API call. Chau7 token counting breaks down what goes into each request.
Output tokens per call
See exactly how many tokens your AI generates in each response. Chau7 token counting shows the output side so you understand both halves of the cost equation.
Session and run totals
Chau7 totals tokens per session and per run so you can compare the token cost of different tasks, models, and workflows. Spot the sessions that burn budget.
How does Chau7 track AI latency?
Cost is not just money. It is also time. Chau7 latency tracking measures both sides of every API call so you know how fast your AI actually responds.
Time to first token (TTFT)
Chau7 latency tracking measures the time between sending a request and receiving the first token of the response. TTFT tells you how long you wait before your AI starts working.
Total duration
Chau7 measures the complete duration of every API call from request to final token. Compare models, compare providers, compare times of day. Find the fastest path to results.
How does Chau7's analytics dashboard show trends?
Individual numbers are useful. Trends are powerful. Chau7 analytics dashboard charts tokens, costs, and latency over time so you can spot patterns and make decisions.
Token trends
Chau7 analytics dashboard shows token consumption over time. See whether your sessions are getting more or less expensive. Spot the days and tasks that drive costs.
Cost trends
Chau7 analytics dashboard tracks dollar spend over time. Weekly trends, model breakdowns, session comparisons. The chart your finance team wishes they had.
Latency trends
Chau7 analytics dashboard plots TTFT and duration over time. Spot when your provider slows down. Compare model performance across different timeframes.
How does Chau7's API cost proxy work?
Chau7 API cost proxy is a local TLS/WSS proxy that intercepts LLM API traffic to count tokens and estimate costs. It runs on your machine, sees the raw requests and responses, and computes everything locally.
Local interception
The Chau7 API cost proxy runs locally on your Mac. It intercepts HTTPS and WebSocket traffic between your AI agent and the API provider. No cloud relay. No remote analytics. Everything stays on your machine.
TLS and WSS support
Chau7 API cost proxy handles both standard HTTPS API calls and WebSocket streaming connections. It works with Anthropic, OpenAI, Google, and any provider that uses standard HTTPS or WSS endpoints.
Token extraction
The proxy reads token counts from API response headers and bodies. It applies model-specific pricing tables to convert token counts into dollar amounts. Numbers you can trust because they come from the actual API responses.
Zero configuration
Chau7 sets up the proxy automatically. No manual certificate installation. No environment variable changes. No proxy configuration files. It works the moment you launch Chau7.
Every Chau7 feature that optimizes cost and context
Explore the individual features that make Chau7 the most cost-aware terminal for AI development.
Context Token Optimization
Strips terminal noise, saves ~40% on tokens.
CTO Per-Tab Override
Toggle CTO on or off for individual tabs.
Cost Tracking
Dollars per API call, per session, per month.
Token Counting
Input and output tokens for every API call.
Latency Tracking
TTFT and total duration per call.
Analytics Dashboard
Tokens, costs, and latency trends over time.
API Cost Proxy
Local TLS/WSS interception for cost data.
AI Session Tracking
Every session tracked from first prompt to last.
Frequently asked questions about Chau7 cost optimization
Why does AI terminal cost optimization matter?
AI agents consume LLM API tokens every time they read terminal output. Terminal output is full of noise: ANSI escape codes, progress bars, spinner frames, repeated whitespace. Without optimization, your AI pays for garbage. Chau7 Context Token Optimization strips that noise before the AI reads it, saving approximately 40% on context tokens per session.
How does Context Token Optimization work in Chau7?
Chau7 Context Token Optimization intercepts terminal output before it reaches your AI agent and strips ANSI escape sequences, progress bar frames, spinner animations, and redundant whitespace. The result is clean text that conveys the same meaning in fewer tokens. CTO saves approximately 40% on context tokens with zero configuration.
How does Chau7 track AI costs?
Chau7 runs a local TLS/WSS proxy that intercepts LLM API traffic to count tokens and estimate costs. Chau7 cost tracking shows dollars per API call, per session, and per month. Input tokens, output tokens, and model-specific pricing are all tracked locally. No data leaves your machine.
Can I disable Context Token Optimization for specific tabs?
Yes. Chau7 CTO per-tab override lets you toggle Context Token Optimization on or off for individual tabs. Run full optimization on your Claude Code tab and raw unfiltered output on your debug session. Each tab gets exactly the behavior you want.
Does Chau7 cost tracking work with all AI providers?
Chau7 cost tracking works with any AI provider that uses standard HTTPS API calls, including Anthropic, OpenAI, Google, and others. The local API cost proxy intercepts traffic locally and applies model-specific token pricing. Chau7 supports pricing tables for all major models.