| 1 | from __future__ import annotations |
| 2 | |
| 3 | import os |
| 4 | from functools import lru_cache |
| 5 | from pathlib import Path |
| 6 | from typing import Any |
| 7 | |
| 8 | import yaml |
| 9 | from utils.image_selection import image_candidate_count_from_config |
| 10 | |
| 11 | DEFAULT_LLM_MODEL = "gpt-5.5" |
| 12 | DEFAULT_LLM_MODEL_PROVIDER = "openai" |
| 13 | DEFAULT_LLM_BASE_URL = "https://yunwu.ai/v1" |
| 14 | DEFAULT_IMAGE_MODEL = "gemini-3.1-flash-image-preview" |
| 15 | DEFAULT_IMAGE_BASE_URL = "https://yunwu.ai" |
| 16 | DEFAULT_VIDEO_MODEL = "veo3.1-fast" |
| 17 | DEFAULT_VIDEO_BASE_URL = "https://openrouter.ai/api/v1" |
| 18 | DEFAULT_EMBEDDING_MODEL = "text-embedding-3-small" |
| 19 | DEFAULT_EMBEDDING_MODEL_PROVIDER = "openai" |
| 20 | DEFAULT_RERANKER_MODEL = "BAAI/bge-reranker-v2-m3" |
| 21 | |
| 22 | |
| 23 | @lru_cache(maxsize=4) |
| 24 | def load_agent_config(workspace_root: str | Path = ".") -> dict[str, Any]: |
| 25 | path = Path(workspace_root).resolve() / "configs" / "agent.local.yaml" |
| 26 | if not path.exists(): |
| 27 | return {} |
| 28 | try: |
| 29 | payload = yaml.safe_load(path.read_text(encoding="utf-8")) or {} |
| 30 | except yaml.YAMLError as exc: |
| 31 | raise RuntimeError(f"Invalid configs/agent.local.yaml: {exc}") from exc |
| 32 | if not isinstance(payload, dict): |
| 33 | raise RuntimeError("configs/agent.local.yaml must be a YAML mapping") |
| 34 | return payload |
| 35 | |
| 36 | |
| 37 | def config_value(section: str, key: str, env_names: list[str], default: str = "", workspace_root: str | Path = ".") -> str: |
| 38 | for env_name in env_names: |
| 39 | value = os.environ.get(env_name) |
| 40 | if value: |
| 41 | return value |
| 42 | section_payload = load_agent_config(workspace_root).get(section, {}) |
| 43 | if isinstance(section_payload, dict): |
| 44 | value = section_payload.get(key) |
| 45 | if isinstance(value, str) and value: |
| 46 | return value |
| 47 | return default |
| 48 | |
| 49 | |
| 50 | def llm_model(workspace_root: str | Path = ".") -> str: |
| 51 | return config_value("llm", "model", ["VIMAX_LLM_MODEL"], DEFAULT_LLM_MODEL, workspace_root) |
| 52 | |
| 53 | |
| 54 | def llm_model_provider(workspace_root: str | Path = ".") -> str: |
| 55 | return config_value("llm", "model_provider", ["VIMAX_LLM_MODEL_PROVIDER"], DEFAULT_LLM_MODEL_PROVIDER, workspace_root) |
| 56 | |
| 57 | |
| 58 | def llm_base_url(workspace_root: str | Path = ".") -> str: |
| 59 | return config_value("llm", "base_url", ["VIMAX_LLM_BASE_URL"], DEFAULT_LLM_BASE_URL, workspace_root) |
| 60 | |
| 61 | |
| 62 | def llm_api_key(workspace_root: str | Path = ".") -> str: |
| 63 | return config_value("llm", "api_key", ["VIMAX_LLM_API_KEY", "VIMAX_API_KEY"], "", workspace_root) |
| 64 | |
| 65 | |
| 66 | def image_model(workspace_root: str | Path = ".") -> str: |
| 67 | return config_value("image", "model", ["VIMAX_IMAGE_MODEL"], DEFAULT_IMAGE_MODEL, workspace_root) |
| 68 | |
| 69 | |
| 70 | def image_base_url(workspace_root: str | Path = ".") -> str: |
| 71 | return config_value("image", "base_url", ["VIMAX_IMAGE_BASE_URL"], DEFAULT_IMAGE_BASE_URL, workspace_root) |
| 72 | |
| 73 | |
| 74 | def image_api_key(workspace_root: str | Path = ".") -> str: |
| 75 | return config_value("image", "api_key", ["VIMAX_IMAGE_API_KEY", "VIMAX_LLM_API_KEY", "VIMAX_API_KEY"], llm_api_key(workspace_root), workspace_root) |
| 76 | |
| 77 | |
| 78 | def image_num_candidates(workspace_root: str | Path = ".") -> int: |
| 79 | return image_candidate_count_from_config(load_agent_config(workspace_root)) |
| 80 | |
| 81 | |
| 82 | |
| 83 | def embedding_model(workspace_root: str | Path = ".") -> str: |
| 84 | return config_value("embedding", "model", ["VIMAX_EMBEDDING_MODEL"], DEFAULT_EMBEDDING_MODEL, workspace_root) |
| 85 | |
| 86 | |
| 87 | def embedding_model_provider(workspace_root: str | Path = ".") -> str: |
| 88 | return config_value("embedding", "model_provider", ["VIMAX_EMBEDDING_MODEL_PROVIDER"], DEFAULT_EMBEDDING_MODEL_PROVIDER, workspace_root) |
| 89 | |
| 90 | |
| 91 | def embedding_base_url(workspace_root: str | Path = ".") -> str: |
| 92 | return config_value("embedding", "base_url", ["VIMAX_EMBEDDING_BASE_URL"], "", workspace_root) |
| 93 | |
| 94 | |
| 95 | def embedding_api_key(workspace_root: str | Path = ".") -> str: |
| 96 | return config_value("embedding", "api_key", ["VIMAX_EMBEDDING_API_KEY"], "", workspace_root) |
| 97 | |
| 98 | |
| 99 | def reranker_model(workspace_root: str | Path = ".") -> str: |
| 100 | return config_value("reranker", "model", ["VIMAX_RERANKER_MODEL"], DEFAULT_RERANKER_MODEL, workspace_root) |
| 101 | |
| 102 | |
| 103 | def reranker_base_url(workspace_root: str | Path = ".") -> str: |
| 104 | return config_value("reranker", "base_url", ["VIMAX_RERANKER_BASE_URL"], "", workspace_root) |
| 105 | |
| 106 | |
| 107 | def reranker_api_key(workspace_root: str | Path = ".") -> str: |
| 108 | return config_value("reranker", "api_key", ["VIMAX_RERANKER_API_KEY"], "", workspace_root) |
| 109 | |
| 110 | |
| 111 | def video_model(workspace_root: str | Path = ".") -> str: |
| 112 | return config_value("video", "model", ["VIMAX_VIDEO_MODEL"], DEFAULT_VIDEO_MODEL, workspace_root) |
| 113 | |
| 114 | |
| 115 | def video_base_url(workspace_root: str | Path = ".") -> str: |
| 116 | return config_value("video", "base_url", ["VIMAX_VIDEO_BASE_URL"], DEFAULT_VIDEO_BASE_URL, workspace_root) |
| 117 | |
| 118 | |
| 119 | def video_api_key(workspace_root: str | Path = ".") -> str: |
| 120 | return config_value("video", "api_key", ["VIMAX_VIDEO_API_KEY", "VIMAX_LLM_API_KEY", "VIMAX_API_KEY"], llm_api_key(workspace_root), workspace_root) |
| 121 | |
| 122 | |
| 123 | def api_provider_from_base_url(base_url: str) -> str: |
| 124 | normalized = base_url.strip().lower() |
| 125 | if "openrouter.ai" in normalized: |
| 126 | return "openrouter" |
| 127 | if "yunwu.ai" in normalized: |
| 128 | return "yunwu" |
| 129 | return "" |
| 130 | |
| 131 | |
| 132 | def video_provider(workspace_root: str | Path = ".") -> str: |
| 133 | """Infer the video API relay/provider from video.base_url. |
| 134 | |
| 135 | This is not a model provider setting. OpenRouter/Yunwu are transport/API |
| 136 | gateways here, so users should configure base_url and let the adapter pick |
| 137 | the matching implementation. |
| 138 | """ |
| 139 | return api_provider_from_base_url(video_base_url(workspace_root)) |
| 140 |