iabee 0.1.1

IABEE: AI CLI coding agent with LLM, tool-use loop, MCP bridge, sessions, streaming output, and secure runtime controls.

IABEE (Python Package)

IABEE is a AI CLI coding agent framework.
It supports real LLM calls, tool-use loops, MCP bridge, session persistence, streaming outputs, and security-focused runtime controls.

Implemented Features

• CLI entry and modes
  • text / json / stream-json output
  • session list and resume (--list-sessions, --resume)
• Command layer
  • /help, /files, /mcp-tools
  • command disable rules (--disabled-commands)
• Tool layer
  • local tools: FileRead, FileWrite, Glob, Grep
  • MCP tools discovery and invocation
  • allow/deny filters (--allowed-tools, --disallowed-tools)
• LLM integration (OpenAI-compatible API)
  • providers for qwen, kimi, minimax
  • dynamic model/base-url/api-key-env/api-key runtime settings
  • configurable timeout/retry/backoff/max-tokens
  • multi-step tool-use loop (tool_calls -> tool_result -> follow-up)
• Context and prompt assembly
  • system prompt composition with project file sampling
  • extra system prompt injection (--llm-system-prompt)
• Long conversation controls
  • conversation window compression by message count and serialized size
  • configurable limits (--convo-max-messages, --convo-max-chars)
• Tool safety and reliability
  • tool call budget and circuit breaker
  • configurable thresholds (--tool-call-budget, --tool-error-threshold)
  • tool result truncation before feeding back to LLM (tool_result_max_chars)
• Security controls
  • settings sanitizer removes secret-like keys
  • subprocess environment whitelist for MCP/Rust calls
  • error masking to prevent key leakage
• Auditing
  • per-session tool audit logs under .iabee/audit/*.jsonl
  • records sanitized inputs, key result summary, and duration

Quick Start

iabee "分析这个项目并给出改造建议" \
  --llm-provider qwen \
  --llm-model qwen-plus \
  --llm-api-key-env DASHSCOPE_API_KEY \
  --llm-max-steps 6 \
  --tool-call-budget 8 \
  --tool-error-threshold 3 \
  --convo-max-messages 16 \
  --convo-max-chars 10000 \
  --output-format stream-json

Dynamic LLM Configuration

• Provider/model/base URL:
  • --llm-provider, --llm-model, --llm-api-base
• Secret (recommended):
  • --llm-api-key-env <ENV_NAME>
• Secret (runtime direct, less safe):
  • --llm-api-key <SECRET>
• Reliability:
  • --llm-timeout-sec, --llm-retry, --llm-retry-backoff-ms, --llm-max-tokens

MCP / Tool Usage

iabee "/mcp-tools" --output-format json
iabee "/mcp-call local echo {\"msg\":\"hello\"}" --output-format stream-json
iabee "/read src/iabee/main.py" --output-format stream-json

Session Usage

iabee --list-sessions
iabee --resume <session_id> --output-format text