feat(providers): added ollama support and openai#10
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Pull request overview
This PR adds support for multiple LLM providers (OpenAI and Ollama) alongside the existing Anthropic integration, introducing a provider abstraction layer and updating the codebase to use standardized model naming conventions.
Changes:
- Introduced provider abstraction with base classes and implementations for Anthropic, OpenAI, and Ollama
- Refactored model naming from descriptive names (e.g., "Claude Haiku 3") to standardized identifiers (e.g., "claude-haiku")
- Updated cost tracking to handle free local models and new provider structure
Reviewed changes
Copilot reviewed 18 out of 19 changed files in this pull request and generated no comments.
Show a summary per file
| File | Description |
|---|---|
| src/harvestor/providers/base.py | New base provider abstraction defining the interface for all LLM providers |
| src/harvestor/providers/anthropic.py | Anthropic provider implementation with Claude models |
| src/harvestor/providers/openai.py | OpenAI provider implementation with GPT models |
| src/harvestor/providers/ollama.py | Ollama provider implementation for local models |
| src/harvestor/providers/init.py | Provider registry and factory function |
| src/harvestor/parsers/llm_parser.py | Refactored to use provider abstraction instead of direct Anthropic client |
| src/harvestor/core/harvestor.py | Updated to support multi-provider initialization and removed direct Anthropic dependencies |
| src/harvestor/core/cost_tracker.py | Updated to handle free models and new pricing structure |
| src/harvestor/config.py | Refactored to re-export provider models for backwards compatibility |
| src/harvestor/schemas/base.py | Added new provider-based extraction strategies |
| tests/*.py | Updated test patches and model references to use new naming conventions |
| example.py | Updated to demonstrate multi-provider usage |
| src/harvestor/cli/main.py | Added model listing functionality and updated default model |
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