feat(component): add Ollama LLM and Embedding providers - #365
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Add OllamaProvider and OllamaEmbeddingProvider — thin subclasses of
OpenAIProvider / OpenAIEmbeddingProvider with Ollama-specific defaults
(base_url=http://localhost:11434/v1, api_key='ollama', dim=768).
Ollama's API is OpenAI-compatible, so these providers extend the
existing implementations with no new logic — just sensible local-first
defaults. Users can now do:
from everos.component.llm import OllamaProvider
llm = OllamaProvider(model='llama3.1')
instead of remembering base_url and supplying a dummy key.
Also add 8 unit tests (defaults, custom params, inheritance, imports).
Co-authored-by: Timelovers <46080686+Timelovers@users.noreply.github.com>
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Hi — just checking if this is on the radar. Happy to adjust anything if needed. Thanks! |
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Description
Add
OllamaProvider(LLM) andOllamaEmbeddingProvider(embedding) — thin subclasses of the existing OpenAI-compatible providers with Ollama-specific defaults.Ollama exposes an OpenAI-compatible API at
http://localhost:11434/v1withapi-key: ollama. These providers extend the existing implementations so users get sensible local-first defaults out of the box — no need to remember the base URL or supply a dummy key.The existing
OpenAIProvider/OpenAIEmbeddingProvideralready work with Ollama via.envconfig — this PR just makes the setup explicit and discoverable with zero new logic.Type of Change
How Has This Been Tested?
ast.parse()Checklist
make testRelated Issues
N/A — incremental addition following the existing one-provider-per-file pattern.