51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
from enum import Enum
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from typing import Union
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import os
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KEY_FILE: str = ".deepeval"
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HIDDEN_DIR: str = os.getenv("DEEPEVAL_CACHE_FOLDER", ".deepeval")
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PYTEST_RUN_TEST_NAME: str = "CONFIDENT_AI_RUN_TEST_NAME"
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PYTEST_TRACE_TEST_WRAPPER_SPAN_NAME: str = (
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"__deepeval_internal_pytest_test_wrapper__"
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)
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LOGIN_PROMPT = "\n✨👀 Looking for a place for your LLM test data to live 🏡❤️ ? Use [rgb(106,0,255)]Confident AI[/rgb(106,0,255)] to get & share testing reports, experiment with models/prompts, and catch regressions for your LLM system. Just run [cyan]'deepeval login'[/cyan] in the CLI."
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CONFIDENT_TRACE_VERBOSE = "CONFIDENT_TRACE_VERBOSE"
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CONFIDENT_TRACE_FLUSH = "CONFIDENT_TRACE_FLUSH"
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CONFIDENT_TRACE_SAMPLE_RATE = "CONFIDENT_TRACE_SAMPLE_RATE"
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CONFIDENT_TRACE_ENVIRONMENT = "CONFIDENT_TRACE_ENVIRONMENT"
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CONFIDENT_TRACING_ENABLED = "CONFIDENT_TRACING_ENABLED"
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CONFIDENT_TRACE_INTERNAL = "CONFIDENT_TRACE_INTERNAL"
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CONFIDENT_OPEN_BROWSER = "CONFIDENT_OPEN_BROWSER"
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CONFIDENT_TEST_CASE_BATCH_SIZE = "CONFIDENT_TEST_CASE_BATCH_SIZE"
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class ProviderSlug(str, Enum):
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OPENAI = "openai"
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AZURE = "azure"
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ANTHROPIC = "anthropic"
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BEDROCK = "bedrock"
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DEEPSEEK = "deepseek"
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GOOGLE = "google"
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GROK = "grok"
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KIMI = "kimi"
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LITELLM = "litellm"
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LOCAL = "local"
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OLLAMA = "ollama"
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OPENROUTER = "openrouter"
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PORTKEY = "portkey"
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def slugify(value: Union[str, ProviderSlug]) -> str:
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return (
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value.value
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if isinstance(value, ProviderSlug)
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else str(value).strip().lower()
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)
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SUPPORTED_PROVIDER_SLUGS = frozenset(s.value for s in ProviderSlug)
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