refactor: remove Ollama and add custom provider configuration#546
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refactor: remove Ollama and add custom provider configuration#546
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Add ExecutionConfig struct for controlling runtime execution: - max_agent_threads: Maximum concurrent agent threads - max_tool_threads: Maximum concurrent tool executions - command_timeout_secs: Timeout for shell commands - http_timeout_secs: Timeout for HTTP requests - streaming_enabled: Enable/disable streaming responses This allows users to customize execution behavior via config files.
Add CustomProviderConfig and CustomModelConfig types for user-defined LLM providers in config.toml: - base_url: Provider API endpoint - api_type: openai/anthropic/openai-compatible - api_key_env: Environment variable for API key - default_model: Default model for provider - models: Available models with capabilities - headers: Custom HTTP headers Enables users to add their own providers without code changes.
Add CLI arguments for controlling execution behavior: - --max-agent-threads: Maximum concurrent agent threads - --max-tool-threads: Maximum concurrent tool executions - --command-timeout: Timeout for shell commands in seconds - --http-timeout: Timeout for HTTP requests in seconds - --no-streaming: Disable streaming responses These arguments override config file settings at runtime.
Remove Ollama integration from the backend: - Delete cortex-ollama crate entirely - Remove from workspace members and dependencies - Remove Ollama model presets from cortex-common - Remove OllamaEmbedder from cortex-engine - Remove Ollama provider references from CLI utilities - Remove Ollama options from app-server config - Clean up related imports and references Users can now add custom local providers via the new custom providers configuration system.
Remove all Ollama provider references from the GUI: - Delete OllamaProvider.ts implementation - Remove Ollama from AIProvider enum (backend) - Remove Ollama from LLMProviderType union type - Remove Ollama from provider configuration objects - Remove Ollama from model selectors and settings - Remove Ollama from onboarding wizard - Update package-lock.json dependencies The custom providers system now allows users to configure local inference endpoints without built-in Ollama support.
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Summary
This PR removes the built-in Ollama provider and adds a flexible custom provider configuration system, allowing users to configure their own LLM providers.
Changes
New Features
Refactoring
Configuration Examples
Execution Config (config.toml)
Custom Provider (config.toml)
CLI Arguments
Testing
Migration Notes
Users currently using Ollama can configure it as a custom provider with: