cfc78e0493
Add a retrieval_mode field ("semantic" or "text") to the output of all
five query-driven tools so callers can distinguish vector search from
Postgres full-text fallback without inspecting server logs.
Tools updated: search_thoughts, recall_context, get_project_context,
summarize_thoughts, and related_thoughts (semantic neighbours only;
omitempty so field is absent when include_semantic is false or no query
is provided for the non-mandatory-query tools).
The shared semanticSearch helper now returns the mode as a third return
value. All callers updated; fixes two compile errors left by the
previous worker (summarize.go and links.go were not capturing the new
return).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
53 lines
1.5 KiB
Go
53 lines
1.5 KiB
Go
package tools
|
|
|
|
import (
|
|
"context"
|
|
|
|
"github.com/google/uuid"
|
|
|
|
"git.warky.dev/wdevs/amcs/internal/ai"
|
|
"git.warky.dev/wdevs/amcs/internal/config"
|
|
"git.warky.dev/wdevs/amcs/internal/store"
|
|
thoughttypes "git.warky.dev/wdevs/amcs/internal/types"
|
|
)
|
|
|
|
const (
|
|
RetrievalModeSemantic = "semantic"
|
|
RetrievalModeText = "text"
|
|
)
|
|
|
|
// semanticSearch runs vector similarity search if embeddings exist for the
|
|
// primary embedding model in the given scope, otherwise falls back to Postgres
|
|
// full-text search. Search always uses the primary model so query vectors
|
|
// match rows stored under the primary model name.
|
|
// It returns the results and the retrieval mode used ("semantic" or "text").
|
|
func semanticSearch(
|
|
ctx context.Context,
|
|
db *store.DB,
|
|
embeddings *ai.EmbeddingRunner,
|
|
search config.SearchConfig,
|
|
query string,
|
|
limit int,
|
|
threshold float64,
|
|
projectID *int64,
|
|
excludeID *uuid.UUID,
|
|
) ([]thoughttypes.SearchResult, string, error) {
|
|
model := embeddings.PrimaryModel()
|
|
hasEmbeddings, err := db.HasEmbeddingsForModel(ctx, model, projectID)
|
|
if err != nil {
|
|
return nil, "", err
|
|
}
|
|
|
|
if hasEmbeddings {
|
|
embedding, err := embeddings.EmbedPrimary(ctx, query)
|
|
if err != nil {
|
|
return nil, "", err
|
|
}
|
|
results, err := db.SearchSimilarThoughts(ctx, embedding, model, threshold, limit, projectID, excludeID)
|
|
return results, RetrievalModeSemantic, err
|
|
}
|
|
|
|
results, err := db.SearchThoughtsText(ctx, query, limit, projectID, excludeID)
|
|
return results, RetrievalModeText, err
|
|
}
|