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399b80c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | """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",
]
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