Hillstar Orchestrator¶
Security and reproducibility-first workflow orchestrator for research environments.
Hillstar is a research-grade workflow orchestration system designed for multi-agent AI pipelines and classification tasks. It provides a modular architecture with support for multiple LLM providers, governance policies, and comprehensive execution tracing.
API Reference
- Configuration & Provider Registry
- Workflow Execution
- Compliance & Governance
- LLM Model Providers
AnthropicOllamaAPIModelAnthropicModelDevstralLocalModelMistralAPIModelMCPModelAnthropicMCPModelOpenAIMCPModelMistralMCPModelOllamaMCPModel- models.mcp_model
- models.anthropic_model
- models.anthropic_mcp_model
- models.anthropic_ollama_api_model
- models.mistral_api_model
- models.mistral_mcp_model
- models.openai_mcp_model
- models.ollama_mcp_model
- models.devstral_local_model
- Utilities
- Workflow Discovery & Validation
- MCP Servers
- MCP Server: Base Class for All Providers
- MCP Server: Anthropic Claude Models
- MCP Server: Fallback to Ollama Cloud Models via claude-ollama CLI
- MCP Server: Devstral Local (llama.cpp HTTP Server)
- MCP Server: File Operations (write_file, update_file, create_directory)
- MCP Server: Google AI Studio (Gemini Models)
- MCP Server: Mistral AI Models
- MCP Server: Ollama Local Models
- MCP Server: OpenAI GPT Models with Dual Authentication
- Secure logging module for MCP servers.
Top-Level