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henosis-cli — interactive CLI for the Henosis multi-provider streaming chat backend, with optional local tools.

Project description

Henosis CLI

the BEST terminal agent designed for uncompromising performance

Henosis CLI is a streamlined, professional terminal client for the Henosis multi-provider streaming chat backend. It supports OpenAI, Gemini, Anthropic, xAI (Grok), DeepSeek, and Moonshot Kimi via the Henosis server, and includes optional client-executed file/shell tools with approvals and sandboxing.

Key features

  • Interactive chat over SSE with usage/cost summaries
  • Model picker and per-turn controls (tools on/off, control level, reasoning effort)
  • Client approvals at Level 2 for write/exec operations (approve once/session/always)
  • Agent scope (safe host directory) when enabling tools in host mode
  • Optional web search controls for OpenAI models (domain allow-list, include sources, location hints)
  • Saves conversations to server threads and commits usage for billing where enabled

Troubleshooting

  • If a provider streams deltas but never sends a final message.completed, the CLI now prints a Diagnostics block with:
    • stream stats (events/deltas/bytes), last events tail, and response x-* headers
    • It also writes the same data to logs/session-*.jsonl as event=diagnostics.no_completed
  • Make the tail longer with HENOSIS_CLI_SSE_TAIL (default 40). Example: HENOSIS_CLI_SSE_TAIL=80 henosis-cli
  • For raw debugging: use --debug-sse and/or --debug-req
  • Minimal harness: python test_stream.py (override with HENOSIS_TEST_URL, HENOSIS_TEST_MODEL, HENOSIS_TEST_PROMPT)

Install

  • pip: pip install henosis-cli
  • pipx (recommended): pipx install henosis-cli

Quick start

  • Run the CLI: henosis-cli
  • Default server: https://henosis.us/api_v2 (override with HENOSIS_SERVER or --server)
  • Dev server: henosis-cli --dev (uses HENOSIS_DEV_SERVER or http://127.0.0.1:8000)
  • Authenticate when prompted. Use /model to pick a model and /tools on to enable tools.

Common commands

  • /menu or /settings: Open settings menu
  • /model: Open settings model picker (or '/model ' to set directly)
  • /tools on|off|default: Toggle per-request tool availability
  • /fs workspace|host|default: Set filesystem scope (workspace = sandbox; host = Agent scope)
  • /hostbase
  • /level 1|2|3: Control level (1 read-only; 2 write/exec with approval; 3 no approvals)
  • /map on|off: Inject CODEBASE_MAP.md into your first message
  • /websearch on|off|domains|sources|location: Configure OpenAI web search options
  • /title : Name the current chat thread
  • /clear: Reset chat history
  • /login, /logout, /whoami: Auth helpers

Configuration

Local tools and sandboxing (optional)

  • The CLI can execute a safe subset of tools locally when the server requests client-side execution.
  • Tools include read_file, write_file, append_file, list_dir, apply_patch, run_command.
  • At Level 2, destructive tools and command executions prompt for approval (once/session/always).
  • Workspace root: by default, the workspace scope is the current working directory at the moment you launch the CLI. No dedicated per-terminal sandbox is created unless you override it.
  • Override root: set --workspace-dir /path/to/root (or HENOSIS_WORKSPACE_DIR) to operate in a different directory for the session.
  • Host scope can be constrained to an Agent scope directory (set via /hostbase) when fs=host.

Notes

  • Requires Python 3.9+
  • The CLI ships with rich and prompt_toolkit for a nicer UI by default.
  • The reusable local tools library is available as a module (henosis_cli_tools).

Anthropic-only context handoff tool (server owners)

  • The server can expose a lightweight, provider-scoped function tool to Anthropic models only that lets the model signal a handoff to the next turn and carry an optional JSON payload.
  • Enable by setting on the API server (not the CLI):
    • ANTHROPIC_ENABLE_TONEXT_TOOL=true
    • Optional: ANTHROPIC_TONEXT_TOOL_NAME=context (default) or to_next (legacy)
    • Optional: ANTHROPIC_TONEXT_ATTACH_BETA=true and ANTHROPIC_TONEXT_BETA_HEADER=context-management-2025-06-27
  • When enabled, clients will see normal tool.call/tool.result SSE events. The tool.result includes {"to_next": true} and echoes the provided payload.
  • No client-side tool execution is required; the server handles this tool inline.

Support

Build and publish (maintainers)

  • Bump version in pyproject.toml
  • Build: python -m pip install build twine && python -m build
  • Upload to PyPI: python -m twine upload dist/*
  • Or to TestPyPI: python -m twine upload --repository testpypi dist/*

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