TenetLLMAdapters provides cloud LLM adapter integrations for the Tenet platform.
- Requirements: SRS_TENETLLMADAPTERS
- Architecture: ARCH_TENETLLMADAPTERS
- Realization: PLAN_TENETLLMADAPTERS
- Verification: VER_TENET_LLM_ADAPTERS
- Governance: TenetOS
Adapters register through tenet.llm_adapters entry points for Anthropic, OpenAI-compatible, Google, and Cohere providers.
pip install tenet-llm-adapters
# optional extras
# pip install tenet-llm-adapters[anthropic]
# pip install tenet-llm-adapters[openai]
# pip install tenet-llm-adapters[google,cohere]
# pip install tenet-llm-adapters[all]Use the package by setting provider names in TenetCore backend configuration.
Provider credentials and endpoint configuration are supplied by environment variables and host runtime backend configuration.
- Python entry-point group:
tenet.llm_adapters - Standalone CLI: not applicable
- Product code:
src/tenet_llm_adapters/ - Adapter implementations:
_anthropic.py,_openai.py,_google.py,_cohere.py
pytest tests/- Contributing: CONTRIBUTING.md
See CHANGELOG.md.
AGPL-3.0-only. See LICENSE.