mirror of
https://github.com/infiniflow/ragflow.git
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## Summary - Add provider-local Chat, Embedding, and Rerank response structures with usage mapping. - Align streaming usage and tool-call state handling across Gitee, OpenRouter, Jiekou.AI, and Hunyuan. - Preserve Jina's non-streaming behavior and explicit unsupported streaming response, while fixing Jiekou.AI thinking=false handling.
109 lines
3.0 KiB
Go
109 lines
3.0 KiB
Go
//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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package models
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import (
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"encoding/json"
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"net/http"
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"net/http/httptest"
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"testing"
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)
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func TestProviderLocalChatResponsesExposeUsage(t *testing.T) {
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type providerCase struct {
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name string
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path string
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new func(string) ModelDriver
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}
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cases := []providerCase{
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{
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name: "jina",
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path: "/chat/completions",
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new: func(baseURL string) ModelDriver {
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return NewJinaModel(map[string]string{"default": baseURL}, URLSuffix{Chat: "chat/completions"})
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},
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},
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{
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name: "gitee",
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path: "/chat/completions",
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new: func(baseURL string) ModelDriver {
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return NewGiteeModel(map[string]string{"default": baseURL}, URLSuffix{Chat: "chat/completions"})
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},
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},
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{
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name: "openrouter",
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path: "/chat/completions",
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new: func(baseURL string) ModelDriver {
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return NewOpenRouterModel(map[string]string{"default": baseURL}, URLSuffix{Chat: "chat/completions"})
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},
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},
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{
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name: "jiekouai",
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path: "/openai/v1/chat/completions",
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new: func(baseURL string) ModelDriver {
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return NewJieKouAIModel(map[string]string{"default": baseURL}, URLSuffix{Chat: "openai/v1/chat/completions"})
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},
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},
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{
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name: "hunyuan",
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path: "/chat/completions",
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new: func(baseURL string) ModelDriver {
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return NewHunyuanModel(map[string]string{"default": baseURL}, URLSuffix{Chat: "chat/completions"})
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},
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},
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}
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for _, tc := range cases {
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t.Run(tc.name, func(t *testing.T) {
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server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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if r.URL.Path != tc.path {
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t.Errorf("path=%q, want %q", r.URL.Path, tc.path)
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}
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_ = json.NewEncoder(w).Encode(map[string]any{
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"id": "chat-request",
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"choices": []map[string]any{{
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"message": map[string]any{"content": "answer"},
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}},
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"usage": map[string]any{
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"prompt_tokens": 3,
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"completion_tokens": 5,
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"total_tokens": 8,
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},
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})
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}))
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defer server.Close()
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apiKey := "test-key"
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response, err := tc.new(server.URL).ChatWithMessages(
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t.Context(),
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"model",
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[]Message{{Role: "user", Content: "hello"}},
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&APIConfig{ApiKey: &apiKey},
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nil,
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nil,
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)
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if err != nil {
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t.Fatalf("ChatWithMessages: %v", err)
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}
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if response.Usage == nil || response.Usage.PromptTokens != 3 || response.Usage.CompletionTokens != 5 || response.Usage.TotalTokens != 8 {
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t.Fatalf("Usage=%#v, want prompt=3 completion=5 total=8", response.Usage)
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}
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})
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}
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}
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