518b8eca85
md-first memory extraction framework for AI agents. Markdown is the single source of truth; SQLite holds state and LanceDB provides the rebuildable vector + BM25 + scalar index. The codebase follows a single-direction DDD layering (entrypoints -> service -> memory -> infra, with component / core / config cross-cutting) enforced by import-linter. Engineering surface: - Coding conventions in .claude/rules/ (path-scoped) and workflows in .claude/skills/ (/commit, /new-branch, /pr). - GitHub Actions CI runs make lint + test + integration; pre-commit mirrors the gates locally (ruff, hygiene hooks, gitlint commit-msg). - Commit messages follow Conventional Commits, enforced by gitlint. - make lint also enforces datetime two-zone discipline and OpenAPI drift.
29 lines
939 B
Python
29 lines
939 B
Python
"""``build_llm_provider`` — settings validation + provider build."""
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from __future__ import annotations
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import pytest
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from pydantic import SecretStr
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from everos.component.llm import build_llm_provider
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from everos.component.llm.openai_provider import OpenAIProvider
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from everos.config.settings import LLMSettings
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def test_raises_when_api_key_missing() -> None:
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s = LLMSettings(model="m", api_key=None, base_url="https://x")
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with pytest.raises(ValueError, match="EVEROS_LLM__API_KEY"):
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build_llm_provider(s)
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def test_raises_when_base_url_missing() -> None:
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s = LLMSettings(model="m", api_key=SecretStr("k"), base_url=None)
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with pytest.raises(ValueError, match="EVEROS_LLM__BASE_URL"):
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build_llm_provider(s)
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def test_builds_openai_provider() -> None:
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s = LLMSettings(model="m", api_key=SecretStr("k"), base_url="https://x")
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p = build_llm_provider(s)
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assert isinstance(p, OpenAIProvider)
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