Configuration

Customize Flowbaby's behavior through VS Code settings.

Automatic Detection

.flowbaby/venv This location prevents conflicts with project virtual environments (e.g., Python Jedi language server overwriting Flowbaby's dependencies).

Unsupported Contexts

The following contexts are not validated or supported in this release:

• Remote Development: VS Code Remote-SSH, WSL, Dev Containers
• Multi-root Workspaces: Workspaces with multiple folder roots
• Multi-user Workstations: Memories are stored per workspace, not per user

Support for these contexts may be added in future releases.

Configuration

Access settings via File → Preferences → Settings → Extensions → Flowbaby:

Setting	Description	Default
Flowbaby.enabled	Enable/disable automatic memory capture and retrieval	true
Flowbaby.maxContextResults	Maximum number of memory results to inject into Copilot context	3
Flowbaby.maxContextTokens	Maximum token budget for retrieved context (higher values may increase latency and memory usage)	32000
Flowbaby.searchTopK	Maximum number of candidates to request from the Flowbaby search engine before ranking (normalized to be ≥ maxContextResults, hard-capped at 100)	10
Flowbaby.ranking.halfLifeDays	Recency half-life (in days) used for ranking; older memories past this window have their relevance score halved	7
flowbaby.notifications.showIngestionSuccess	Show toast notifications when memory ingestion completes successfully (errors are always shown)	true
Flowbaby.pythonPath	Python interpreter to use for the Flowbaby bridge; leave as python3 for auto-detection of workspace .venv, or set an explicit path	python3
Flowbaby.logLevel	Logging verbosity level: error, warn, info, or debug	info
Flowbaby.debugLogging	Enable a dedicated debug output channel with detailed bridge and extension diagnostics	false

LLM Configuration

Configure your LLM provider via File → Preferences → Settings → Extensions → Flowbaby:

Setting	Description	Default
Flowbaby.llm.provider	LLM provider (e.g., openai, anthropic, azure, ollama, custom)	openai
Flowbaby.llm.model	LLM model name (e.g., gpt-4o-mini, claude-3-haiku-20240307, llama2)	gpt-4o-mini
Flowbaby.llm.endpoint	Custom LLM endpoint URL for Azure, Ollama, or self-hosted deployments; leave empty for provider defaults	(empty)

Provider Examples:

• OpenAI (default): Leave provider as openai, model as gpt-4o-mini
• Anthropic Claude: Set provider to anthropic, model to claude-3-opus-20240229
• Local Ollama: Set provider to ollama, model to your model name, endpoint to http://localhost:11434

Additional Examples:

• To disable memory temporarily, set Flowbaby.enabled to false in settings