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| """Host-agent config auto-detection. | |
| Public API consumed by other OpenSpace subsystems (cloud, mcp_server, …): | |
| - ``build_llm_kwargs`` — resolve LLM credentials | |
| - ``build_grounding_config_path`` — resolve grounding config | |
| - ``read_host_mcp_env`` — host-agnostic skill env reader | |
| - ``get_openai_api_key`` — OpenAI key resolution (multi-host) | |
| Internal / legacy re-exports (prefer the generic names above): | |
| - ``read_nanobot_mcp_env`` — nanobot-specific, kept for backward compat | |
| - ``try_read_nanobot_config`` | |
| Supported host agents: | |
| - **nanobot** — ``~/.nanobot/config.json`` (``tools.mcpServers.openspace.env``) | |
| - **openclaw** — ``~/.openclaw/openclaw.json`` (``skills.entries.openspace.env``) | |
| """ | |
| import logging | |
| from typing import Dict, Optional | |
| from openspace.host_detection.resolver import build_llm_kwargs, build_grounding_config_path | |
| from openspace.host_detection.nanobot import ( | |
| get_openai_api_key as _nanobot_get_openai_api_key, | |
| read_nanobot_mcp_env, | |
| try_read_nanobot_config, | |
| ) | |
| from openspace.host_detection.openclaw import ( | |
| get_openclaw_openai_api_key as _openclaw_get_openai_api_key, | |
| is_openclaw_host, | |
| read_openclaw_skill_env, | |
| ) | |
| logger = logging.getLogger("openspace.host_detection") | |
| def read_host_mcp_env() -> Dict[str, str]: | |
| """Read the OpenSpace env block from the current host agent config. | |
| Resolution order: | |
| 1. nanobot — ``tools.mcpServers.openspace.env`` | |
| 2. openclaw — ``skills.entries.openspace.env`` | |
| 3. Empty dict (no host detected) | |
| Callers (e.g. ``cloud.auth``) use this single entry point and never | |
| need to know which host agent is active. | |
| """ | |
| # Try nanobot first (most common deployment) | |
| env = read_nanobot_mcp_env() | |
| if env: | |
| return env | |
| # Try openclaw | |
| env = read_openclaw_skill_env("openspace") | |
| if env: | |
| logger.debug("read_host_mcp_env: resolved from OpenClaw config") | |
| return env | |
| return {} | |
| def get_openai_api_key() -> Optional[str]: | |
| """Get OpenAI API key for embedding generation (multi-host). | |
| Resolution: | |
| 1. ``OPENAI_API_KEY`` env var (checked inside nanobot reader) | |
| 2. nanobot config ``providers.openai.apiKey`` | |
| 3. openclaw config ``skills.entries.openspace.env.OPENAI_API_KEY`` | |
| 4. None | |
| """ | |
| # nanobot reader already checks OPENAI_API_KEY env var first | |
| key = _nanobot_get_openai_api_key() | |
| if key: | |
| return key | |
| return _openclaw_get_openai_api_key() | |
| __all__ = [ | |
| "build_llm_kwargs", | |
| "build_grounding_config_path", | |
| "get_openai_api_key", | |
| "read_host_mcp_env", | |
| # legacy re-exports | |
| "read_nanobot_mcp_env", | |
| "try_read_nanobot_config", | |
| # openclaw-specific (for direct use if needed) | |
| "is_openclaw_host", | |
| "read_openclaw_skill_env", | |
| ] | |