88 lines
2.3 KiB
Python
88 lines
2.3 KiB
Python
from pathlib import Path
|
|
|
|
from pydantic import BaseModel, Field
|
|
|
|
from haiku.rag.utils import get_default_data_dir
|
|
|
|
|
|
class StorageConfig(BaseModel):
|
|
data_dir: Path = Field(default_factory=get_default_data_dir)
|
|
disable_autocreate: bool = False
|
|
vacuum_retention_seconds: int = 60
|
|
|
|
|
|
class MonitorConfig(BaseModel):
|
|
directories: list[Path] = []
|
|
ignore_patterns: list[str] = []
|
|
include_patterns: list[str] = []
|
|
|
|
|
|
class LanceDBConfig(BaseModel):
|
|
uri: str = ""
|
|
api_key: str = ""
|
|
region: str = ""
|
|
|
|
|
|
class EmbeddingsConfig(BaseModel):
|
|
provider: str = "ollama"
|
|
model: str = "qwen3-embedding"
|
|
vector_dim: int = 4096
|
|
|
|
|
|
class RerankingConfig(BaseModel):
|
|
provider: str = ""
|
|
model: str = ""
|
|
|
|
|
|
class QAConfig(BaseModel):
|
|
provider: str = "ollama"
|
|
model: str = "gpt-oss"
|
|
|
|
|
|
class ResearchConfig(BaseModel):
|
|
provider: str = "ollama"
|
|
model: str = "gpt-oss"
|
|
|
|
|
|
class ProcessingConfig(BaseModel):
|
|
chunk_size: int = 256
|
|
context_chunk_radius: int = 0
|
|
markdown_preprocessor: str = ""
|
|
|
|
|
|
class OllamaConfig(BaseModel):
|
|
base_url: str = Field(
|
|
default_factory=lambda: __import__("os").environ.get(
|
|
"OLLAMA_BASE_URL", "http://localhost:11434"
|
|
)
|
|
)
|
|
|
|
|
|
class VLLMConfig(BaseModel):
|
|
embeddings_base_url: str = ""
|
|
rerank_base_url: str = ""
|
|
qa_base_url: str = ""
|
|
research_base_url: str = ""
|
|
|
|
|
|
class ProvidersConfig(BaseModel):
|
|
ollama: OllamaConfig = Field(default_factory=OllamaConfig)
|
|
vllm: VLLMConfig = Field(default_factory=VLLMConfig)
|
|
|
|
|
|
class A2AConfig(BaseModel):
|
|
max_contexts: int = 1000
|
|
|
|
|
|
class AppConfig(BaseModel):
|
|
environment: str = "production"
|
|
storage: StorageConfig = Field(default_factory=StorageConfig)
|
|
monitor: MonitorConfig = Field(default_factory=MonitorConfig)
|
|
lancedb: LanceDBConfig = Field(default_factory=LanceDBConfig)
|
|
embeddings: EmbeddingsConfig = Field(default_factory=EmbeddingsConfig)
|
|
reranking: RerankingConfig = Field(default_factory=RerankingConfig)
|
|
qa: QAConfig = Field(default_factory=QAConfig)
|
|
research: ResearchConfig = Field(default_factory=ResearchConfig)
|
|
processing: ProcessingConfig = Field(default_factory=ProcessingConfig)
|
|
providers: ProvidersConfig = Field(default_factory=ProvidersConfig)
|
|
a2a: A2AConfig = Field(default_factory=A2AConfig)
|