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Quick-answer (RAG) agents can now configure a separate chat model for the query-understanding stage (rewrite + intent classification), decoupling it from the main conversation model so users can route the lightweight rewrite call to a cheaper / faster model. - Add CustomAgentConfig.QueryUnderstandModelID and plumb it through PipelineRequest and ChatManage.Clone. - query_understand plugin prefers QueryUnderstandModelID on the text-only path; falls back to ChatModelID if the configured model cannot be resolved (with a warn log). Multimodal path is unchanged to keep vision-capable model selection intact. - AgentEditorModal exposes a ModelSelector under the existing Query Rewrite block; empty means reuse the main chat model. - Add i18n strings (queryUnderstandModel / placeholder / desc) for zh-CN, en-US, ko-KR, ru-RU. - Extend Go SDK AgentConfig with the new field.
WeKnora HTTP Client
This package provides a client library for interacting with WeKnora services, supporting all HTTP-based interface calls, making it easier for other modules to integrate with WeKnora services without having to write HTTP request code directly.
Main Features
The client includes the following main functional modules:
- Session Management: Create, retrieve, update, and delete sessions
- Knowledge Base Management: Create, retrieve, update, and delete knowledge bases
- Knowledge Management: Add, retrieve, and delete knowledge content
- Tenant Management: CRUD operations for tenants
- Knowledge Q&A: Supports regular Q&A and streaming Q&A
- Chunk Management: Query, update, and delete knowledge chunks
- Message Management: Retrieve and delete session messages
- Model Management: Create, retrieve, update, and delete models
- Evaluation Function: Start evaluation tasks and get evaluation results
Usage
Creating Client Instance
import (
"context"
"github.com/Tencent/WeKnora/client"
"time"
)
// Create client instance
apiClient := client.NewClient(
"http://api.example.com",
client.WithToken("your-auth-token"),
client.WithTimeout(30*time.Second),
)
Tenant Configuration
You can set a default tenant with WithTenantID; the client will automatically send the X-Tenant-ID header:
tenantID := uint64(10000)
apiClient := client.NewClient(
"http://api.example.com",
client.WithToken("your-auth-token"),
client.WithTenantID(tenantID),
)
If a single request needs a different tenant, set TenantID in the request context. The value can be a uint64, *uint64, or a numeric string, and it will take precedence over the client default:
ctx := context.WithValue(context.Background(), "TenantID", uint64(10000))
// Pass ctx into any client method to switch to tenant 10000 for that request
Example: Create Knowledge Base and Upload File
// Create knowledge base
kb := &client.KnowledgeBase{
Name: "Test Knowledge Base",
Description: "This is a test knowledge base",
ChunkingConfig: client.ChunkingConfig{
ChunkSize: 500,
ChunkOverlap: 50,
Separators: []string{"\n\n", "\n", ". ", "? ", "! "},
},
ImageProcessingConfig: client.ImageProcessingConfig{
ModelID: "image_model_id",
},
EmbeddingModelID: "embedding_model_id",
SummaryModelID: "summary_model_id",
}
kb, err := apiClient.CreateKnowledgeBase(context.Background(), kb)
if err != nil {
// Handle error
}
// Upload knowledge file with metadata
metadata := map[string]string{
"source": "local",
"type": "document",
}
knowledge, err := apiClient.CreateKnowledgeFromFile(context.Background(), kb.ID, "path/to/file.pdf", metadata)
if err != nil {
// Handle error
}
Example: Create Session and Chat
// Create session
sessionRequest := &client.CreateSessionRequest{
KnowledgeBaseID: knowledgeBaseID,
SessionStrategy: &client.SessionStrategy{
MaxRounds: 10,
EnableRewrite: true,
FallbackStrategy: "fixed_answer",
FallbackResponse: "Sorry, I cannot answer this question",
EmbeddingTopK: 5,
KeywordThreshold: 0.5,
VectorThreshold: 0.7,
RerankModelID: "rerank_model_id",
RerankTopK: 3,
RerankThreshold: 0.8,
SummaryModelID: "summary_model_id",
},
}
session, err := apiClient.CreateSession(context.Background(), sessionRequest)
if err != nil {
// Handle error
}
// Regular Q&A
answer, err := apiClient.KnowledgeQA(context.Background(), session.ID, &client.KnowledgeQARequest{
Query: "What is artificial intelligence?",
})
if err != nil {
// Handle error
}
// Streaming Q&A
err = apiClient.KnowledgeQAStream(context.Background(), session.ID, "What is machine learning?", func(response *client.StreamResponse) error {
// Handle each response chunk
fmt.Print(response.Content)
return nil
})
if err != nil {
// Handle error
}
Example: Managing Models
// Create model
modelRequest := &client.CreateModelRequest{
Name: "Test Model",
Type: client.ModelTypeChat,
Source: client.ModelSourceInternal,
Description: "This is a test model",
Parameters: client.ModelParameters{
"temperature": 0.7,
"top_p": 0.9,
},
IsDefault: true,
}
model, err := apiClient.CreateModel(context.Background(), modelRequest)
if err != nil {
// Handle error
}
// List all models
models, err := apiClient.ListModels(context.Background())
if err != nil {
// Handle error
}
Example: Managing Knowledge Chunks
// List knowledge chunks
chunks, total, err := apiClient.ListKnowledgeChunks(context.Background(), knowledgeID, 1, 10)
if err != nil {
// Handle error
}
// Update chunk
updateRequest := &client.UpdateChunkRequest{
Content: "Updated chunk content",
IsEnabled: true,
}
updatedChunk, err := apiClient.UpdateChunk(context.Background(), knowledgeID, chunkID, updateRequest)
if err != nil {
// Handle error
}
Example: Getting Session Messages
// Get recent messages
messages, err := apiClient.GetRecentMessages(context.Background(), sessionID, 10)
if err != nil {
// Handle error
}
// Get messages before a specific time
beforeTime := time.Now().Add(-24 * time.Hour)
olderMessages, err := apiClient.GetMessagesBefore(context.Background(), sessionID, beforeTime, 10)
if err != nil {
// Handle error
}
Complete Example
Please refer to the ExampleUsage function in the example.go file, which demonstrates the complete usage flow of the client.