vector

type BatchItem struct {
	ID       string
	Text     string
	Metadata map[string]string
}

type Config struct {
	// PersistenceDir is the directory where the vector store snapshot is
	// saved as a JSON file. If empty, the store is ephemeral (in-memory only).
	// Note: PersistenceDir is ignored when using an external store (Qdrant),
	// as those handle persistence internally.
	PersistenceDir    string `yaml:"persistence_dir,omitempty" toml:"persistence_dir,omitempty"`
	EmbeddingProvider string `yaml:"embedding_provider,omitempty" toml:"embedding_provider,omitempty"` // "openai", "ollama", "huggingface", "gemini"
	APIKey            string `yaml:"api_key,omitempty" toml:"api_key,omitempty"`
	OllamaURL         string `yaml:"ollama_url,omitempty" toml:"ollama_url,omitempty"`
	OllamaModel       string `yaml:"ollama_model,omitempty" toml:"ollama_model,omitempty"`
	HuggingFaceURL    string `yaml:"huggingface_url,omitempty" toml:"huggingface_url,omitempty"`
	GeminiAPIKey      string `yaml:"gemini_api_key,omitempty" toml:"gemini_api_key,omitempty"`
	GeminiModel       string `yaml:"gemini_model,omitempty" toml:"gemini_model,omitempty"`
	// VectorStoreProvider specifies the vector store backend to use.
	// Options: "inmemory" (default), "qdrant"
	VectorStoreProvider string `yaml:"vector_store_provider,omitempty" toml:"vector_store_provider,omitempty"`
	// Qdrant configuration (only used when VectorStoreProvider is "qdrant")
	Qdrant qdrantstore.Config `yaml:"qdrant,omitempty" toml:"qdrant,omitempty"`
	// AllowedMetadataKeys optionally restricts which metadata keys may be used in
	// memory_store and memory_search. If non-empty, only these keys are accepted
	// for metadata (store) and filter (search), enabling product/category buckets.
	AllowedMetadataKeys []string `yaml:"allowed_metadata_keys,omitempty" toml:"allowed_metadata_keys,omitempty"`
}

type IStore interface {
	Search(ctx context.Context, query string, limit int) ([]SearchResult, error)
	SearchWithFilter(ctx context.Context, query string, limit int, filter map[string]string) ([]SearchResult, error)
	Add(ctx context.Context, items ...BatchItem) error
	// Upsert replaces existing documents with the same ID, or inserts if not present.
	// Use a stable ID (e.g. source:external_id) to overwrite memory when appropriate.
	Upsert(ctx context.Context, items ...BatchItem) error
	Delete(ctx context.Context, ids ...string) error
	Close(ctx context.Context) error
}

type MemorySearchRequest struct {
	Query  string            `json:"query" jsonschema:"description=The search query to find relevant memories,required"`
	Limit  int               `json:"limit,omitempty" jsonschema:"description=Maximum number of results to return (default 5)"`
	Filter map[string]string `` /* 153-byte string literal not displayed */
}

type MemorySearchResponse struct {
	Results []MemorySearchResultItem `json:"results"`
	Count   int                      `json:"count"`
}

type MemorySearchResultItem struct {
	Content    string            `json:"content"`
	Metadata   map[string]string `json:"metadata,omitempty"`
	Similarity float64           `json:"similarity"`
}

type MemoryStoreRequest struct {
	Text     string            `json:"text" jsonschema:"description=The text content to store in memory,required"`
	Metadata map[string]string `` /* 144-byte string literal not displayed */
	ID       string            `` /* 133-byte string literal not displayed */
}

type MemoryStoreResponse struct {
	ID      string `json:"id"`
	Message string `json:"message"`
}

type SearchResult struct {
	ID       string            `json:"id"`
	Content  string            `json:"content"`
	Metadata map[string]string `json:"metadata,omitempty"`
	Score    float64           `json:"score"`
}

type SearchResults []SearchResult

type Store struct {
	// contains filtered or unexported fields
}

type ToolProvider struct {
	// contains filtered or unexported fields
}