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Every provider profile is now a self-contained plugin under plugins/model-providers/<name>/, mirroring the plugins/platforms/ pattern established for IRC and Teams. The ProviderProfile ABC stays in providers/; the per-provider profile data moves out. - plugins/model-providers/<name>/__init__.py calls register_provider() - plugins/model-providers/<name>/plugin.yaml declares kind: model-provider - providers/__init__.py._discover_providers() lazily scans bundled plugins then $HERMES_HOME/plugins/model-providers/<name>/ (user override path) - User plugins with the same name override bundled ones (last-writer-wins in register_provider) - Legacy providers/<name>.py layout still supported for back-compat with out-of-tree editable installs - Hermes PluginManager: new kind=model-provider; skipped like memory plugins (providers/ discovery owns them); standalone plugins with register_provider+ProviderProfile in their __init__.py auto-coerce to this kind (same heuristic as memory providers) - skip_names extended to include 'model-providers' so the general PluginManager doesn't double-scan the category - 4 new tests in tests/providers/test_plugin_discovery.py covering bundled discovery, user override, and general-loader isolation - Docs updated: website/docs/developer-guide/adding-providers.md, provider-runtime.md, providers/README.md, plugins/model-providers/README.md No API break: auth.py / config.py / doctor.py / models.py / runtime_provider.py / model_metadata.py / auxiliary_client.py / chat_completions.py / run_agent.py all still consume providers via get_provider_profile() / list_providers() — they just now see plugin-discovered entries instead of pkgutil-iterated ones. Third parties can now drop a single directory into ~/.hermes/plugins/model-providers/<name>/ to add or override an inference provider without touching the repo.
21 lines
590 B
Python
21 lines
590 B
Python
"""NVIDIA NIM provider profile."""
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from providers import register_provider
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from providers.base import ProviderProfile
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nvidia = ProviderProfile(
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name="nvidia",
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aliases=("nvidia-nim",),
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env_vars=("NVIDIA_API_KEY",),
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display_name="NVIDIA NIM",
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description="NVIDIA NIM — accelerated inference",
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signup_url="https://build.nvidia.com/",
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fallback_models=(
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"nvidia/llama-3.1-nemotron-70b-instruct",
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"nvidia/llama-3.3-70b-instruct",
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),
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base_url="https://integrate.api.nvidia.com/v1",
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default_max_tokens=16384,
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)
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register_provider(nvidia)
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