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Implement /v1/responses endpoint with multi-provider translation (OpenAI, Azure, Anthropic, Gemini), streaming compat layers, Codex config/tool integration, and updated functional test docs.
167 lines
4.6 KiB
Go
167 lines
4.6 KiB
Go
// Copyright 2019 Yunion
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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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package ft
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import (
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"fmt"
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"strings"
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"yunion.io/x/pkg/errors"
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"yunion.io/x/onecloud/pkg/mcclient"
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)
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func RunChatTest(session *mcclient.ClientSession, opts *ChatOptions) error {
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tracker := NewResourceTracker(envKeepResources(opts.KeepResources))
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defer tracker.Cleanup(session)
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nonInteractive := envNonInteractive(opts.NonInteractive)
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providers, err := ListCatalogProviderKeys(session)
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if err != nil {
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return err
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}
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if len(providers) == 0 {
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return errors.Error("无 ai_provider 资源;请先创建供应商(如 climc ai-provider-create)")
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}
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providerKey, err := promptSelectProvider(providers, opts.Provider, nonInteractive)
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if err != nil {
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return err
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}
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models, err := ListCatalogModelKeys(session, providerKey)
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if err != nil {
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return err
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}
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if len(models) == 0 {
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return errors.Errorf("provider %s 下无可用 model_key;创建 ai_model 或由 ai-test 自动创建", providerKey)
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}
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modelKey, err := promptSelectModel(models, providerKey, opts.Model, nonInteractive)
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if err != nil {
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return err
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}
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apiSecret, err := promptApiKey(providerKey, opts.ApiKey, nonInteractive)
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if err != nil {
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return err
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}
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prompt := strings.TrimSpace(opts.Prompt)
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if prompt == "" {
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prompt = resolvePromptFromEnv()
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}
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if prompt == "" {
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prompt = DefaultPromptForProvider(providerKey)
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}
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runStream := promptRunStream(opts.SkipStream, nonInteractive)
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names := DefaultAdminNames(providerKey, "")
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if opts.KeyName != "" {
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names.KeyName = opts.KeyName
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}
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if opts.VkName != "" {
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names.VkName = opts.VkName
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}
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if opts.RoutingName != "" {
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names.RoutingName = opts.RoutingName
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}
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catalogModelID := CatalogModelID(providerKey, modelKey)
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fmt.Println()
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fmt.Println("=== aiproxy OpenAI chat 测试 ===")
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fmt.Printf("provider: %s model: %s catalog_id: %s\n", providerKey, modelKey, catalogModelID)
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fmt.Printf("ai_key: %s virtual_key: %s routing: %s\n", names.KeyName, names.VkName, names.RoutingName)
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fmt.Println()
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Step("1. Keystone aiproxy public endpoint")
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aiproxyURL, err := ResolveAiproxyURL(session, opts.AiproxyURL)
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if err != nil {
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return err
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}
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fmt.Printf("AIPROXY_URL=%s\n", aiproxyURL)
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Step(fmt.Sprintf("2. Catalog %s / %s", providerKey, modelKey))
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if err := VerifyCatalog(session, providerKey, modelKey, false); err != nil {
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return err
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}
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Step("3. ai_key")
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vk, _, err := SetupAdminResources(session, tracker, providerKey, modelKey, apiSecret, names)
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if err != nil {
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return err
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}
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fmt.Printf("virtual_key=%s...\n", previewText(vk, 12))
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Step("4. POST /ai/openai/v1/chat/completions")
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client := httpClientFromSession(session)
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payload := map[string]interface{}{
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"model": modelKey,
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"messages": []map[string]string{
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{"role": "user", "content": prompt},
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},
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"max_tokens": 128,
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}
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code, body, err := postJSON(client, openAIChatURL(aiproxyURL), vk, payload)
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if err != nil {
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return err
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}
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fmt.Printf("HTTP %d\n", code)
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if err := printJSONBody(body); err != nil {
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return err
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}
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if code != 200 {
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return errors.Errorf("chat request failed with HTTP %d", code)
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}
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content, err := extractOpenAIChatContent(body)
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if err != nil {
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return err
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}
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fmt.Printf("content (%d chars): %s\n", len(content), previewText(content, 120))
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if runStream {
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Step("5. POST /ai/openai/v1/chat/completions (stream=true)")
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streamPayload := map[string]interface{}{
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"model": modelKey,
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"stream": true,
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"messages": []map[string]string{
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{"role": "user", "content": prompt},
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},
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"max_tokens": 64,
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}
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streamCode, streamBody, err := postJSONStream(client, openAIChatURL(aiproxyURL), vk, streamPayload)
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if err != nil {
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return err
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}
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defer streamBody.Close()
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fmt.Printf("HTTP %d (stream)\n", streamCode)
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aggregated, err := aggregateSSEStream(streamBody, parseOpenAIStreamDelta)
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if err != nil {
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return err
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}
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fmt.Printf("stream content (%d chars): %s\n", len(aggregated), previewText(aggregated, 120))
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}
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streamNote := ""
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if runStream {
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streamNote = " + stream"
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}
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fmt.Println()
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fmt.Printf("OK: aiproxy chat test passed for %s/%s (non-stream%s).\n", providerKey, modelKey, streamNote)
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return nil
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}
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