Skip to main content

AI coding agent with per-tool permissions, cost tracking, and token optimization

Project description

Vantage Agent

AI coding agent with per-tool permissions, cost tracking, prompt optimization, and anomaly detection. Works across Claude (API), Claude Code, Codex CLI, and Gemini CLI.

Install

pip install vantageai-agent

Requires Python 3.9+.

Quick Start

Interactive REPL

# Set your API key, then launch
export ANTHROPIC_API_KEY=sk-...
vantageai-agent

One-shot prompt

vantageai-agent "explain the main function in cli.py"

Pipe mode

echo "summarize this file" | vantageai-agent

Backends

Vantage auto-detects the best backend. You can override with --backend:

Backend Description Requires
api Direct Anthropic API (exact token counts) ANTHROPIC_API_KEY
claude Claude Code subprocess (free tier / subscription) claude binary
codex OpenAI Codex CLI subprocess codex binary
gemini Gemini CLI subprocess gemini binary
vantageai-agent --backend claude "refactor this function"
vantageai-agent --backend codex "write unit tests for auth.py"

Auto-detect priority: VANTAGE_BACKEND env → ANTHROPIC_API_KEYclaude binary → codex binary → gemini binary.

Session Management

Sessions are persisted to ~/.vantage/sessions/. Resume any previous session:

# List sessions and costs
vantageai-agent summary

# Resume by session ID
vantageai-agent --resume abc12345

REPL Commands

Command Description
/help Show all commands
/tools Show tool approval status
/allow Bash,Write Approve specific tools
/allow all Approve all tools for this session
/cost Show current session cost
/optimize on|off Toggle prompt optimization
/model claude-opus-4-6 Switch model mid-session
/reset Clear history, permissions, cost
/quit Exit (shows final cost summary)

Cost Tracking

Every turn shows token usage and cost. Exit shows a full session summary:

  +----- Cost Summary -----+
  Model:             claude-sonnet-4-6
  Input tokens:      1,234
  Output tokens:     456
  Cost:              $0.0123
  Session total:     $0.0456
  Prompts:           3
  +-------------------------+

For Claude Code / Codex / Gemini (subscription or free tier), costs are labeled ~$0.00 (free tier) or ~$0.0123 (estimated).

VantageAI Dashboard

Send telemetry to your VantageAI dashboard for cross-session cost analysis:

export VANTAGE_API_KEY=vnt_...
vantageai-agent

Or pass inline: vantageai-agent --vantage-key vnt_...

All Flags

vantageai-agent [OPTIONS] [PROMPT]

  PROMPT              One-shot prompt (omit for interactive REPL)

  --backend           api | claude | codex | gemini (auto-detected)
  --model             Model ID (default: claude-sonnet-4-6)
  --max-tokens        Max output tokens (default: 16384)
  --resume SESSION_ID Resume a previous session
  --api-key           Anthropic API key (or ANTHROPIC_API_KEY env)
  --vantage-key       VantageAI dashboard API key (or VANTAGE_API_KEY env)
  --system            Custom system prompt
  --no-optimize       Disable prompt optimization
  --cwd               Set working directory
  --debug             Enable debug output

Environment Variables

Variable Description
ANTHROPIC_API_KEY Anthropic API key
VANTAGE_API_KEY VantageAI dashboard key
VANTAGE_BACKEND Force backend (api/claude/codex/gemini)
VANTAGE_MODEL Default model override

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vantageai_agent-0.2.0.tar.gz (84.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vantageai_agent-0.2.0-py3-none-any.whl (56.2 kB view details)

Uploaded Python 3

File details

Details for the file vantageai_agent-0.2.0.tar.gz.

File metadata

  • Download URL: vantageai_agent-0.2.0.tar.gz
  • Upload date:
  • Size: 84.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for vantageai_agent-0.2.0.tar.gz
Algorithm Hash digest
SHA256 544576f30a1a9d79fcab16431c834a2f626c24c7fad7ca50b0acde59de14ffaa
MD5 2dabd9a83b161f6459bcf2ed952c9a25
BLAKE2b-256 8ee9e0def9f7058278e21221124cabe00cc5e3d416865c3fa729fe025c5a39ce

See more details on using hashes here.

File details

Details for the file vantageai_agent-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for vantageai_agent-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 847df17c01da3f0fc52462d8b0ff196e0166088d4047311247482a368f269d5a
MD5 222e2e71b28c8d952eab456435a555af
BLAKE2b-256 4b09f68a3c8b687de015aacabace7c03bab02f196ce6661c7f75cf71f14ffdbc

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page