Files
LocalAI/core/http/endpoints/jina/rerank.go
Mikhail Khludnev c313b2c671 fix(reranker): tests and top_n check fix #7212 (#7284)
reranker tests and top_n check fix #7212

Signed-off-by: Mikhail Khludnev <mkhl@apache.org>
2025-11-16 17:53:23 +01:00

77 lines
2.3 KiB
Go

package jina
import (
"net/http"
"github.com/labstack/echo/v4"
"github.com/mudler/LocalAI/core/backend"
"github.com/mudler/LocalAI/core/config"
"github.com/mudler/LocalAI/core/http/middleware"
"github.com/mudler/LocalAI/core/schema"
"github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/mudler/LocalAI/pkg/model"
"github.com/rs/zerolog/log"
)
// JINARerankEndpoint acts like the Jina reranker endpoint (https://jina.ai/reranker/)
// @Summary Reranks a list of phrases by relevance to a given text query.
// @Param request body schema.JINARerankRequest true "query params"
// @Success 200 {object} schema.JINARerankResponse "Response"
// @Router /v1/rerank [post]
func JINARerankEndpoint(cl *config.ModelConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) echo.HandlerFunc {
return func(c echo.Context) error {
input, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_LOCALAI_REQUEST).(*schema.JINARerankRequest)
if !ok || input.Model == "" {
return echo.ErrBadRequest
}
cfg, ok := c.Get(middleware.CONTEXT_LOCALS_KEY_MODEL_CONFIG).(*config.ModelConfig)
if !ok || cfg == nil {
return echo.ErrBadRequest
}
log.Debug().Str("model", input.Model).Msg("JINA Rerank Request received")
var requestTopN int32
docs := int32(len(input.Documents))
if input.TopN == nil { // omit top_n to get all
requestTopN = docs
} else {
requestTopN = int32(*input.TopN)
if requestTopN < 1 {
return c.JSON(http.StatusUnprocessableEntity, "top_n - should be greater than or equal to 1")
}
if requestTopN > docs { // make it more obvious for backends
requestTopN = docs
}
}
request := &proto.RerankRequest{
Query: input.Query,
TopN: requestTopN,
Documents: input.Documents,
}
results, err := backend.Rerank(request, ml, appConfig, *cfg)
if err != nil {
return err
}
response := &schema.JINARerankResponse{
Model: input.Model,
}
for _, r := range results.Results {
response.Results = append(response.Results, schema.JINADocumentResult{
Index: int(r.Index),
Document: schema.JINAText{Text: r.Text},
RelevanceScore: float64(r.RelevanceScore),
})
}
response.Usage.TotalTokens = int(results.Usage.TotalTokens)
response.Usage.PromptTokens = int(results.Usage.PromptTokens)
return c.JSON(http.StatusOK, response)
}
}