| default_db_type | str | Default database type. |
| default_db_connection_string | str | Connection string for the default database. |
| ollama_llm_model_name | str | Default Ollama LLM model name. |
| ollama_embedding_model_name | str | Default Ollama embedding model name. |
| ollama_vector_size | int | Vector size for Ollama default embedding model. |
| ollama_temperature | float | Ollama LLM temperature. |
| ollama_max_tokens | int | Ollama Max tokens to generate. |
| ollama_stop_words | List[str] | Stop words for Ollama. |
| ollama_streaming | bool | Streaming generation for Ollama. |
| ollama_url | str | URL for Ollama server. |
| openai_api_key | str | OpenAI API key. |
| openai_llm_model_name | str | Default OpenAI model name. |
| openai_embedding_model_name | str | Default OpenAI embedding model name. |
| openai_vector_size | int | Vector size for OpenAI default embedding model. |
| openai_temperature | float | OpenAI LLM temperature. |
| openai_max_tokens | int | OpenAI max tokens to generate. |
| openai_stop_words | List[str] | Stop words for OpenAI. |
| openai_streaming | bool | Streaming generation for OpenAI models. |
| openai_url | str | URL for OpenAI API. |
| custom_api_key | str | Custom OpenAI compatible API key. |
| custom_llm_model_name | str | Custom OpenAI compatible API default model name. |
| custom_embedding_model_name | str | Custom OpenAI compatible API default embedding model name. |
| custom_vector_size | int | Vector size for custom OpenAI compatible API embedding model. |
| custom_temperature | float | Custom OpenAI compatible API model temperature. |
| custom_max_tokens | int | Custom OpenAI compatible API max tokens to generate. |
| custom_stop_words | List[str] | Custom OpenAI compatible API stop words. |
| custom_streaming | bool | Streaming mode for custom OpenAI compatible API. |
| custom_url | str | URL for custom OpenAI compatible API |
| anthropic_api_key | str | Anthropic API key. |
| anthropic_llm_model_name | str | Default Anthropic model name. |
| anthropic_temperature | float | Temperature for Anthropic models. |
| anthropic_max_tokens | int | Max tokens to generate for Anthropic models. |
| anthropic_stop_words | List[str] | Stop words for Anthropic models. |
| anthropic_streaming | bool | Enable Anthropic streaming. |
| llama_llm_model_name | str | Default Llama.cpp model name (file name) |
| llama_cpp_embedding_model_name | str | Default Llama.cpp provided embedding model name. |
| llama_cpp_vector_size | int | Default vector size for using LLM models for embeddings in Llama.cpp. |
| llama_cpp_temperature | float | Default temperature for Llama.cpp. |
| llama_cpp_max_tokens | int | Max tokens for Llama.cpp generation. |
| llama_cpp_stop_words | List[str] | Stop words for Llama.cpp |
| llama_cpp_streaming | bool | Streaming generation for Llama.cpp. |
| llama_cpp_model_directory | str | Model directory for Llama.cpp GGUF models. |
| default_engine | str | Default LLM framework. |
| default_model_name | str | Default LLM model name. |
| default_vector_size | int | Default vector size for default embedding model. |
| default_embedding_model_name | str | Default embedding model framework and model name. |
| observer_destination | Literal["screen", "file", "db", "webhook", "none"] | Destination for observer output. |
| observer_file_name | str | Name of the file for observer output. |
| observer_db_name | str | Name of database for observer output. |
| observer_database_connection_string | str | Connection string for observer database. |
| observer_webhook_url | str | URL for observer webhook reporting. |
| websocket_url | str | URL of websocket for LLM streaming mode. |
| max_agent_iterations | int | Maximum number of iterations for ReAct type agents. |
| max_multiagent_iterations | int | Maximum number of iterations for collaborative agents conversation. |
| unit_default_selector | str | Default AgentSelector for AgentTeam. |
| agent_default_type | str | Default type of agent. |
| google_search_api_key | str | Key for Google search API. |
| google_cse_id | str | Google search tool Custom Search Engine ID. |
| google_search_timeout | int | Google search API timeout. |
| wikipedia_user_agent | str | User agent to access Wikipedia API. |
| arxiv_search_timeout | int | ArXiv search tool API timeout. |
| use_long_memory | bool | Enable long term memory. |
| long_memory_items | int | Number of items brought from memory. |
| long_memory_threshold | float | Embeddings cosine similarity threshold. |
| long_memory_db_string | str | Database connection string for long term memory database. |
| long_memory_embeddings_engine | str | Embeddings framework and model to use for long memory. |
| short_memory_items | int | Maximum number of items in short memory. |
| mcpServers | str | Model Context Protocol server definitions JSON blob. |
| relaxed_react | bool | Relax ReAct type prompts with respect to last iteration of the agent. If <action> is not present, consider last message as the final. Log that structure was not fully followed. |