botserver/templates/default.gbai/default.gbot/config.csv

name,value

server_host,0.0.0.0
server_port,8080
sites_root,/tmp

llm-key,none
llm-url,http://localhost:8080/v1
llm-model,botserver-stack/data/llm/DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_M.gguf

embedding-url,http://localhost:8082
embedding-model,botserver-stack/data/llm/bge-small-en-v1.5-f32.gguf

llm-server,false
llm-server-path,botserver-stack/bin/llm/
llm-server-model,botserver-stack/data/llm/DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_M.gguf
llm-server-host,0.0.0.0
llm-server-port,8080
llm-server-gpu-layers,35
llm-server-n-moe,4
llm-server-ctx-size,2048
llm-server-parallel,4
llm-server-cont-batching,true
llm-server-mlock,true
llm-server-no-mmap,true

email-from,from@domain.com
email-server,mail.domain.com
email-port,587
email-user,user@domain.com
email-pass,

custom-server,localhost
custom-port,5432
custom-database,mycustomdb
custom-username,
custom-password,
Add AWS SDK integration and update bot configuration management - Introduced AWS SDK dependencies for S3 and CSV handling. - Implemented logic to check and update the default bot configuration in S3 after component installation. - Added a new configuration CSV template for bot settings. - Refactored package manager to register cache component with updated download URL and binary name. - Updated README and Cargo files to reflect new dependencies and configuration options. 2025-10-26 14:15:43 -03:00			`name,value`

refactor(config): remove unused S3 bucket configuration and setup logic Eliminates the `s3_bucket` field from `AppConfig` and deletes related initialization code in `main.rs`. This simplifies configuration management since S3 bucket handling is no longer required or used in the application. 2025-10-29 09:54:39 -03:00			`server_host,0.0.0.0`
			`server_port,8080`
			`sites_root,/tmp`
Add AWS SDK integration and update bot configuration management - Introduced AWS SDK dependencies for S3 and CSV handling. - Implemented logic to check and update the default bot configuration in S3 after component installation. - Added a new configuration CSV template for bot settings. - Refactored package manager to register cache component with updated download URL and binary name. - Updated README and Cargo files to reflect new dependencies and configuration options. 2025-10-26 14:15:43 -03:00
feat: refactor database connection handling and add LLM component - Replace direct database connection establishment with shared `establish_pg_connection` utility - Add "llm" to required components list in bootstrap manager - Lower default RUST_LOG level from debug to info in VSCode config - Clean up imports and connection error messages - Remove hardcoded database URL strings in favor of centralized connection handling The changes improve code maintainability by centralizing database connection logic and adding support for the new LLM component in the bootstrap process. 2025-11-01 07:20:04 -03:00			`llm-key,none`
Add AWS SDK integration and update bot configuration management - Introduced AWS SDK dependencies for S3 and CSV handling. - Implemented logic to check and update the default bot configuration in S3 after component installation. - Added a new configuration CSV template for bot settings. - Refactored package manager to register cache component with updated download URL and binary name. - Updated README and Cargo files to reflect new dependencies and configuration options. 2025-10-26 14:15:43 -03:00			`llm-url,http://localhost:8080/v1`
feat: refactor database connection handling and add LLM component - Replace direct database connection establishment with shared `establish_pg_connection` utility - Add "llm" to required components list in bootstrap manager - Lower default RUST_LOG level from debug to info in VSCode config - Clean up imports and connection error messages - Remove hardcoded database URL strings in favor of centralized connection handling The changes improve code maintainability by centralizing database connection logic and adding support for the new LLM component in the bootstrap process. 2025-11-01 07:20:04 -03:00			`llm-model,botserver-stack/data/llm/DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_M.gguf`
Add AWS SDK integration and update bot configuration management - Introduced AWS SDK dependencies for S3 and CSV handling. - Implemented logic to check and update the default bot configuration in S3 after component installation. - Added a new configuration CSV template for bot settings. - Refactored package manager to register cache component with updated download URL and binary name. - Updated README and Cargo files to reflect new dependencies and configuration options. 2025-10-26 14:15:43 -03:00
			`embedding-url,http://localhost:8082`
feat(config): refactor AI config into separate LLM and embedding configs - Split AIConfig into separate LLMConfig and embedding config structs - Update create_site.rs to use config.llm instead of config.ai - Improve config loading comments in bootstrap manager - Add new LLM-related environment variables with defaults - Maintain backward compatibility with existing config loading - Clean up unused AIConfig struct and related code The change better organizes the AI-related configuration by separating LLM and embedding configurations, making the code more maintainable and flexible for future AI service integrations. 2025-11-01 08:43:14 -03:00			`embedding-model,botserver-stack/data/llm/bge-small-en-v1.5-f32.gguf`
Add AWS SDK integration and update bot configuration management - Introduced AWS SDK dependencies for S3 and CSV handling. - Implemented logic to check and update the default bot configuration in S3 after component installation. - Added a new configuration CSV template for bot settings. - Refactored package manager to register cache component with updated download URL and binary name. - Updated README and Cargo files to reflect new dependencies and configuration options. 2025-10-26 14:15:43 -03:00
			`llm-server,false`
feat: refactor database connection handling and add LLM component - Replace direct database connection establishment with shared `establish_pg_connection` utility - Add "llm" to required components list in bootstrap manager - Lower default RUST_LOG level from debug to info in VSCode config - Clean up imports and connection error messages - Remove hardcoded database URL strings in favor of centralized connection handling The changes improve code maintainability by centralizing database connection logic and adding support for the new LLM component in the bootstrap process. 2025-11-01 07:20:04 -03:00			`llm-server-path,botserver-stack/bin/llm/`
			`llm-server-model,botserver-stack/data/llm/DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_M.gguf`
			`llm-server-host,0.0.0.0`
			`llm-server-port,8080`
			`llm-server-gpu-layers,35`
			`llm-server-n-moe,4`
			`llm-server-ctx-size,2048`
			`llm-server-parallel,4`
			`llm-server-cont-batching,true`
			`llm-server-mlock,true`
			`llm-server-no-mmap,true`
Add AWS SDK integration and update bot configuration management - Introduced AWS SDK dependencies for S3 and CSV handling. - Implemented logic to check and update the default bot configuration in S3 after component installation. - Added a new configuration CSV template for bot settings. - Refactored package manager to register cache component with updated download URL and binary name. - Updated README and Cargo files to reflect new dependencies and configuration options. 2025-10-26 14:15:43 -03:00
			`email-from,from@domain.com`
			`email-server,mail.domain.com`
			`email-port,587`
			`email-user,user@domain.com`
			`email-pass,`

			`custom-server,localhost`
			`custom-port,5432`
			`custom-database,mycustomdb`
			`custom-username,`
			`custom-password,`