- agent-readable-repository-refactor 완료: 기존 테스트 파일 아카이브 이동 - 새 테스트 파일 추가 (edge, node, client, config, readability) - readability_audit 스크립트 및 baseline 추가 - roadmap/SDD 문서 갱신 - agent-client/pi/extensions/openai-sampling-parameters 추가
721 lines
27 KiB
Go
721 lines
27 KiB
Go
package openai
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import (
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"encoding/json"
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"fmt"
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"net/http"
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"net/http/httptest"
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"strings"
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"testing"
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"iop/packages/go/config"
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iop "iop/proto/gen/iop"
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)
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func TestChatCompletionsDispatchesConfiguredOllamaTarget(t *testing.T) {
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fake := &fakeRunService{events: make(chan *iop.RunEvent, 3)}
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fake.events <- &iop.RunEvent{Type: "delta", Delta: "hello"}
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fake.events <- &iop.RunEvent{Type: "delta", Delta: " world"}
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fake.events <- &iop.RunEvent{Type: "complete", Usage: &iop.Usage{InputTokens: 2, OutputTokens: 2}}
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srv := NewServer(config.EdgeOpenAIConf{
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Adapter: "ollama",
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Target: "llama-fixed",
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SessionID: "cline",
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TimeoutSec: 15,
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}, fake, nil)
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req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
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"model":"client-model",
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"messages":[{"role":"system","content":"brief"},{"role":"user","content":"say hello"}]
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}`))
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w := httptest.NewRecorder()
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srv.handleChatCompletions(w, req)
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if w.Code != http.StatusOK {
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t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
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}
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if fake.req.Adapter != "ollama" || fake.req.Target != "llama-fixed" {
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t.Fatalf("dispatch target mismatch: %+v", fake.req)
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}
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if fake.req.SessionID != "cline" || fake.req.TimeoutSec != 15 {
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t.Fatalf("execution config mismatch: %+v", fake.req)
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}
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if fake.req.ModelGroupKey != "client-model" {
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t.Fatalf("model group key: got %q, want client-model", fake.req.ModelGroupKey)
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}
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if !strings.Contains(fake.req.Prompt, "system: brief") || !strings.Contains(fake.req.Prompt, "user: say hello") {
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t.Fatalf("prompt did not include messages: %q", fake.req.Prompt)
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}
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var resp chatCompletionResponse
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if err := json.Unmarshal(w.Body.Bytes(), &resp); err != nil {
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t.Fatalf("decode response: %v", err)
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}
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if resp.Choices[0].Message.Content != "hello world" {
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t.Fatalf("content: got %q", resp.Choices[0].Message.Content)
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}
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if resp.Usage == nil || resp.Usage.TotalTokens != 4 {
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t.Fatalf("usage: %+v", resp.Usage)
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}
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}
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func TestChatCompletionsUsesRequestModelWhenNoConfiguredTarget(t *testing.T) {
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fake := &fakeRunService{events: make(chan *iop.RunEvent, 2)}
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fake.events <- &iop.RunEvent{Type: "delta", Delta: "ok"}
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fake.events <- &iop.RunEvent{Type: "complete"}
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srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
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req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
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"model":"from-request",
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"messages":[{"role":"user","content":"hi"}]
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}`))
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w := httptest.NewRecorder()
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srv.handleChatCompletions(w, req)
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if w.Code != http.StatusOK {
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t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
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}
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if fake.req.Target != "from-request" {
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t.Fatalf("target: got %q", fake.req.Target)
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}
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}
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func TestChatCompletionsPreservesProviderFinishReason(t *testing.T) {
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fake := &fakeRunService{events: make(chan *iop.RunEvent, 2)}
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fake.events <- &iop.RunEvent{Type: "delta", Delta: "truncated"}
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fake.events <- &iop.RunEvent{Type: "complete", Metadata: map[string]string{"finish_reason": "length"}}
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srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
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req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
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"metadata":{},
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"model":"qwen3.6:35b",
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"messages":[{"role":"user","content":"hi"}]
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}`))
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w := httptest.NewRecorder()
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srv.handleChatCompletions(w, req)
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if w.Code != http.StatusOK {
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t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
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}
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var resp chatCompletionResponse
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if err := json.Unmarshal(w.Body.Bytes(), &resp); err != nil {
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t.Fatalf("decode response: %v", err)
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}
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if resp.Choices[0].FinishReason != "length" {
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t.Fatalf("finish_reason: got %q, want length", resp.Choices[0].FinishReason)
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}
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}
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func TestChatCompletionsPassesStandardOptions(t *testing.T) {
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fake := &fakeRunService{events: make(chan *iop.RunEvent, 2)}
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fake.events <- &iop.RunEvent{Type: "delta", Delta: "ok"}
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fake.events <- &iop.RunEvent{Type: "complete"}
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srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
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req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
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"model":"from-request",
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"messages":[{"role":"user","content":"hi"}],
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"max_tokens":12,
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"temperature":0.1,
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"top_p":0.9,
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"stop":["END"],
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"response_format":{"type":"json_object"},
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"tools":[{"type":"function","function":{"name":"lookup"}}]
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}`))
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w := httptest.NewRecorder()
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srv.handleChatCompletions(w, req)
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if w.Code != http.StatusOK {
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t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
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}
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options, ok := fake.req.Input["options"].(map[string]any)
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if !ok {
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t.Fatalf("options not passed: %+v", fake.req.Input)
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}
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if options["temperature"].(float64) != 0.1 || options["top_p"].(float64) != 0.9 {
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t.Fatalf("unexpected options: %+v", options)
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}
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if options["max_tokens"].(int) != 12 {
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t.Fatalf("max_tokens not passed: %+v", options)
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}
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if _, ok := options["stop"]; !ok {
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t.Fatalf("stop not passed: %+v", options)
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}
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if _, ok := options["response_format"]; !ok {
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t.Fatalf("response_format not passed: %+v", options)
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}
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if tools, ok := fake.req.Input["tools"].([]any); !ok || len(tools) != 1 {
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t.Fatalf("tools not passed: %+v", fake.req.Input["tools"])
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}
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if _, ok := fake.req.Input["tool_choice"]; ok {
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t.Fatalf("tool_choice must be omitted when the client omits it: %+v", fake.req.Input["tool_choice"])
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}
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}
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func TestChatCompletionsAcceptsStoreNoOp(t *testing.T) {
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fake := &fakeRunService{events: make(chan *iop.RunEvent, 2)}
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fake.events <- &iop.RunEvent{Type: "delta", Delta: "ok"}
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fake.events <- &iop.RunEvent{Type: "complete"}
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srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
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req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
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"model":"from-request",
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"messages":[{"role":"user","content":"hi"}],
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"store":false
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}`))
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w := httptest.NewRecorder()
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srv.handleChatCompletions(w, req)
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if w.Code != http.StatusOK {
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t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
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}
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if _, ok := fake.req.Input["store"]; ok {
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t.Fatalf("store must be accepted as a client compatibility no-op: %+v", fake.req.Input)
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}
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}
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func TestChatCompletionsOmitsProviderToolChoiceAuto(t *testing.T) {
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fake := &fakeRunService{events: make(chan *iop.RunEvent, 2)}
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fake.events <- &iop.RunEvent{Type: "delta", Delta: "ok"}
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fake.events <- &iop.RunEvent{Type: "complete"}
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srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
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req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
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"metadata":{},
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"model":"qwen3.6:35b",
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"messages":[{"role":"user","content":"hi"}],
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"tools":[{"type":"function","function":{"name":"lookup"}}],
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"tool_choice":"auto",
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"parallel_tool_calls":true,
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"stream_options":{"include_usage":true}
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}`))
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w := httptest.NewRecorder()
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srv.handleChatCompletions(w, req)
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if w.Code != http.StatusOK {
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t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
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}
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if _, ok := fake.req.Input["tool_choice"]; ok {
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t.Fatalf("tool_choice auto should be omitted for provider defaults: %+v", fake.req.Input["tool_choice"])
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}
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if _, ok := fake.req.Input["parallel_tool_calls"]; ok {
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t.Fatalf("parallel_tool_calls must not be forwarded: %+v", fake.req.Input)
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}
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if _, ok := fake.req.Input["stream_options"]; ok {
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t.Fatalf("stream_options must not be forwarded: %+v", fake.req.Input)
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}
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}
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func TestChatCompletionsPassesProviderForcedToolChoice(t *testing.T) {
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fake := &fakeRunService{events: make(chan *iop.RunEvent, 2)}
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fake.events <- &iop.RunEvent{Type: "delta", Delta: "ok"}
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fake.events <- &iop.RunEvent{Type: "complete"}
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srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
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req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
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"metadata":{},
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"model":"qwen3.6:35b",
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"messages":[{"role":"user","content":"hi"}],
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"tools":[{"type":"function","function":{"name":"lookup"}}],
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"tool_choice":{"type":"function","function":{"name":"lookup"}}
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}`))
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w := httptest.NewRecorder()
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srv.handleChatCompletions(w, req)
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if w.Code != http.StatusOK {
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t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
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}
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choice, ok := fake.req.Input["tool_choice"].(map[string]any)
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if !ok {
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t.Fatalf("tool_choice not forwarded as object: %+v", fake.req.Input["tool_choice"])
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}
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if choice["type"] != "function" {
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t.Fatalf("tool_choice type: %+v", choice)
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}
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}
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func TestChatCompletionsDowngradesCLIToolChoiceAutoToNone(t *testing.T) {
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fake := &fakeRunService{events: make(chan *iop.RunEvent, 2)}
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fake.events <- &iop.RunEvent{Type: "delta", Delta: "ok"}
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fake.events <- &iop.RunEvent{Type: "complete"}
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srv := NewServer(config.EdgeOpenAIConf{Adapter: "cli", Target: "codex"}, fake, nil)
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req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
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"model":"codex-cli",
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"messages":[{"role":"user","content":"hi"}],
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"tools":[{"type":"function","function":{"name":"lookup"}}],
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"tool_choice":"auto"
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}`))
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w := httptest.NewRecorder()
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srv.handleChatCompletions(w, req)
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if w.Code != http.StatusOK {
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t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
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}
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if fake.req.Input["tool_choice"] != "none" {
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t.Fatalf("tool_choice: got %+v, want none", fake.req.Input["tool_choice"])
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}
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}
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func TestChatCompletionsPassesThroughNativeToolCallsFromProviderRoute(t *testing.T) {
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fake := &fakeRunService{events: make(chan *iop.RunEvent, 1)}
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fake.events <- &iop.RunEvent{
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Type: "complete",
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Metadata: map[string]string{
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"finish_reason": "tool_calls",
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runtimeMetadataOpenAIToolCalls: `[{"id":"call_1","type":"function","function":{"name":"run_commands","arguments":"{\"commands\":[\"git status\"]}"}}]`,
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},
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}
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srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
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req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
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"metadata":{},
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"model":"qwen3.6:35b",
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"messages":[{"role":"user","content":"status"}],
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"tools":[{"type":"function","function":{"name":"run_commands"}}],
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"tool_choice":"auto"
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}`))
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w := httptest.NewRecorder()
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srv.handleChatCompletions(w, req)
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if w.Code != http.StatusOK {
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t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
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}
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var resp chatCompletionResponse
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if err := json.Unmarshal(w.Body.Bytes(), &resp); err != nil {
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t.Fatalf("decode response: %v", err)
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}
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choice := resp.Choices[0]
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if choice.FinishReason != "tool_calls" {
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t.Fatalf("finish_reason: got %q, want tool_calls", choice.FinishReason)
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}
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if len(choice.Message.ToolCalls) != 1 {
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t.Fatalf("tool_calls len: got %d", len(choice.Message.ToolCalls))
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}
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call := choice.Message.ToolCalls[0].(map[string]any)
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if call["id"] != "call_1" {
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t.Fatalf("tool call id: got %+v", call["id"])
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}
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}
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func TestChatCompletionsNativeToolCallPreservesLeadingProse(t *testing.T) {
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fake := &fakeRunService{events: make(chan *iop.RunEvent, 2)}
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fake.events <- &iop.RunEvent{Type: "delta", Delta: "선행 prose\n\n<tool_call><function=run_commands><parameter=commands>[\"git status\"]</parameter></function></tool_call>"}
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fake.events <- &iop.RunEvent{
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Type: "complete",
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Metadata: map[string]string{
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"finish_reason": "tool_calls",
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runtimeMetadataOpenAIToolCalls: `[{"id":"call_1","type":"function","function":{"name":"run_commands","arguments":"{\"commands\":[\"git status\"]}"}}]`,
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},
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}
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srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
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req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
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"metadata":{},
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"model":"qwen3.6:35b",
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"messages":[{"role":"user","content":"status"}],
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"tools":[{"type":"function","function":{"name":"run_commands"}}],
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"tool_choice":"auto"
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}`))
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w := httptest.NewRecorder()
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srv.handleChatCompletions(w, req)
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if w.Code != http.StatusOK {
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t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
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}
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body := w.Body.String()
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if strings.Contains(body, "<tool_call") || strings.Contains(body, `\u003ctool_call`) {
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t.Fatalf("raw tool_call leaked in response: %s", body)
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}
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var resp chatCompletionResponse
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if err := json.Unmarshal(w.Body.Bytes(), &resp); err != nil {
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t.Fatalf("decode response: %v", err)
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}
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choice := resp.Choices[0]
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if choice.Message.Content != "선행 prose" {
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t.Fatalf("content: got %q", choice.Message.Content)
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}
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if choice.FinishReason != "tool_calls" || len(choice.Message.ToolCalls) != 1 {
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t.Fatalf("expected native tool call: %+v", choice)
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}
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call := choice.Message.ToolCalls[0].(map[string]any)
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if call["id"] != "call_1" {
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t.Fatalf("tool call id: got %+v", call["id"])
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}
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}
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func TestChatCompletionsNormalizesNativeToolCallArgumentsForProviderRoute(t *testing.T) {
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fake := &fakeRunService{events: make(chan *iop.RunEvent, 1)}
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fake.events <- &iop.RunEvent{
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Type: "complete",
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Metadata: map[string]string{
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"finish_reason": "tool_calls",
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runtimeMetadataOpenAIToolCalls: `[{"id":"call_1","type":"function","function":{"name":"run_commands","arguments":"{\"commands\":\"[{\\\"command\\\":\\\"cd /config/workspace/iop && git status\\\"}]\"}"}}]`,
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},
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}
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srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
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req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
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"metadata":{},
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"model":"qwen3.6:35b",
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"messages":[{"role":"user","content":"status"}],
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"tools":[{"type":"function","function":{"name":"run_commands","parameters":{"type":"object","properties":{"commands":{"type":"array","items":{"type":"string"}}},"required":["commands"]}}}],
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"tool_choice":"auto"
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}`))
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w := httptest.NewRecorder()
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srv.handleChatCompletions(w, req)
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if w.Code != http.StatusOK {
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t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
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}
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var resp chatCompletionResponse
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if err := json.Unmarshal(w.Body.Bytes(), &resp); err != nil {
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t.Fatalf("decode response: %v", err)
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}
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call := resp.Choices[0].Message.ToolCalls[0].(map[string]any)
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fn := call["function"].(map[string]any)
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var args map[string][]string
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if err := json.Unmarshal([]byte(fn["arguments"].(string)), &args); err != nil {
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t.Fatalf("arguments JSON: %v", err)
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}
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if len(args["commands"]) != 1 || args["commands"][0] != "cd /config/workspace/iop && git status" {
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t.Fatalf("commands args: %+v", args["commands"])
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}
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}
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|
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func TestChatCompletionsRetriesMalformedToolCallBeforeResponse(t *testing.T) {
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fake := &fakeRunService{
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eventRuns: []chan *iop.RunEvent{
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bufferedRunEvents(&iop.RunEvent{
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Type: "complete",
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Metadata: map[string]string{
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"finish_reason": "tool_calls",
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runtimeMetadataOpenAIToolCalls: `[{"id":"call_bad","type":"function","function":{"name":"run_commands","arguments":"{\"commands\":\"git status\"}"}}]`,
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},
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}),
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bufferedRunEvents(&iop.RunEvent{
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Type: "complete",
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Metadata: map[string]string{
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"finish_reason": "tool_calls",
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runtimeMetadataOpenAIToolCalls: `[{"id":"call_good","type":"function","function":{"name":"run_commands","arguments":"{\"commands\":[\"git status\"]}"}}]`,
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},
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}),
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},
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runIDs: []string{"run-bad", "run-good"},
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}
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|
|
srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
|
|
req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
|
|
"metadata":{},
|
|
"model":"qwen3.6:35b",
|
|
"messages":[{"role":"user","content":"status"}],
|
|
"tools":[{"type":"function","function":{"name":"run_commands","parameters":{"type":"object","properties":{"commands":{"type":"array","items":{"type":"string"}}},"required":["commands"],"additionalProperties":false}}}],
|
|
"tool_choice":"auto"
|
|
}`))
|
|
w := httptest.NewRecorder()
|
|
|
|
srv.handleChatCompletions(w, req)
|
|
|
|
if w.Code != http.StatusOK {
|
|
t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
|
|
}
|
|
reqs := fake.reqsSnapshot()
|
|
if len(reqs) != 2 {
|
|
t.Fatalf("submit attempts: got %d want 2", len(reqs))
|
|
}
|
|
if reqs[0].Metadata[runtimeMetadataToolValidationAttempt] != "1" {
|
|
t.Fatalf("first attempt metadata: %+v", reqs[0].Metadata)
|
|
}
|
|
if reqs[1].Metadata[runtimeMetadataToolValidationAttempt] != "2" || reqs[1].Metadata[runtimeMetadataToolValidationRetryOf] != "run-bad" {
|
|
t.Fatalf("retry metadata: %+v", reqs[1].Metadata)
|
|
}
|
|
if !strings.Contains(reqs[1].Metadata[runtimeMetadataToolValidationFailure], "$.arguments.commands type string") {
|
|
t.Fatalf("retry failure reason: %+v", reqs[1].Metadata)
|
|
}
|
|
|
|
var resp chatCompletionResponse
|
|
if err := json.Unmarshal(w.Body.Bytes(), &resp); err != nil {
|
|
t.Fatalf("decode response: %v", err)
|
|
}
|
|
if resp.ID != "chatcmpl-run-good" {
|
|
t.Fatalf("response id: got %q", resp.ID)
|
|
}
|
|
call := resp.Choices[0].Message.ToolCalls[0].(map[string]any)
|
|
if call["id"] != "call_good" {
|
|
t.Fatalf("tool call id: got %+v", call["id"])
|
|
}
|
|
}
|
|
|
|
func TestChatCompletionsFailsMalformedToolCallAfterRetryLimit(t *testing.T) {
|
|
invalidComplete := func(id string) *iop.RunEvent {
|
|
return &iop.RunEvent{
|
|
Type: "complete",
|
|
Metadata: map[string]string{
|
|
"finish_reason": "tool_calls",
|
|
runtimeMetadataOpenAIToolCalls: fmt.Sprintf(`[{"id":%q,"type":"function","function":{"name":"run_commands","arguments":"{\"unexpected\":true}"}}]`, id),
|
|
},
|
|
}
|
|
}
|
|
fake := &fakeRunService{
|
|
eventRuns: []chan *iop.RunEvent{
|
|
bufferedRunEvents(invalidComplete("call_bad_1")),
|
|
bufferedRunEvents(invalidComplete("call_bad_2")),
|
|
},
|
|
runIDs: []string{"run-bad-1", "run-bad-2"},
|
|
}
|
|
|
|
srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
|
|
req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
|
|
"metadata":{},
|
|
"model":"qwen3.6:35b",
|
|
"messages":[{"role":"user","content":"status"}],
|
|
"tools":[{"type":"function","function":{"name":"run_commands","parameters":{"type":"object","properties":{"commands":{"type":"array","items":{"type":"string"}}},"required":["commands"],"additionalProperties":false}}}],
|
|
"tool_choice":{"type":"function","function":{"name":"run_commands"}}
|
|
}`))
|
|
w := httptest.NewRecorder()
|
|
|
|
srv.handleChatCompletions(w, req)
|
|
|
|
if w.Code != http.StatusBadGateway {
|
|
t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
|
|
}
|
|
if !strings.Contains(w.Body.String(), `"type":"tool_validation_error"`) || !strings.Contains(w.Body.String(), "$.arguments.commands is required") {
|
|
t.Fatalf("expected tool validation error body, got %s", w.Body.String())
|
|
}
|
|
if reqs := fake.reqsSnapshot(); len(reqs) != 2 {
|
|
t.Fatalf("submit attempts: got %d want 2", len(reqs))
|
|
}
|
|
}
|
|
|
|
func TestChatCompletionsToolChoiceNoneSkipsRuntimeToolValidation(t *testing.T) {
|
|
fake := &fakeRunService{events: make(chan *iop.RunEvent, 1)}
|
|
fake.events <- &iop.RunEvent{
|
|
Type: "complete",
|
|
Metadata: map[string]string{
|
|
"finish_reason": "tool_calls",
|
|
runtimeMetadataOpenAIToolCalls: `[{"id":"call_1","type":"function","function":{"name":"unknown_tool","arguments":"not-json"}}]`,
|
|
},
|
|
}
|
|
|
|
srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
|
|
req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
|
|
"metadata":{},
|
|
"model":"qwen3.6:35b",
|
|
"messages":[{"role":"user","content":"status"}],
|
|
"tools":[{"type":"function","function":{"name":"run_commands","parameters":{"type":"object","properties":{"commands":{"type":"array","items":{"type":"string"}}},"required":["commands"]}}}],
|
|
"tool_choice":"none"
|
|
}`))
|
|
w := httptest.NewRecorder()
|
|
|
|
srv.handleChatCompletions(w, req)
|
|
|
|
if w.Code != http.StatusOK {
|
|
t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
|
|
}
|
|
reqs := fake.reqsSnapshot()
|
|
if len(reqs) != 1 {
|
|
t.Fatalf("submit attempts: got %d want 1", len(reqs))
|
|
}
|
|
if _, ok := reqs[0].Metadata[runtimeMetadataToolValidationAttempt]; ok {
|
|
t.Fatalf("tool_choice none should not enable validation metadata: %+v", reqs[0].Metadata)
|
|
}
|
|
}
|
|
|
|
func TestChatCompletionsToolsStreamRetriesMalformedToolCallBeforeChunk(t *testing.T) {
|
|
fake := &fakeRunService{
|
|
eventRuns: []chan *iop.RunEvent{
|
|
bufferedRunEvents(&iop.RunEvent{
|
|
Type: "complete",
|
|
Metadata: map[string]string{
|
|
"finish_reason": "tool_calls",
|
|
runtimeMetadataOpenAIToolCalls: `[{"id":"call_bad","type":"function","function":{"name":"edit","arguments":"{\"edits\":[{\"path\":\"apps/client/test/client_bootstrap_test.dart\",\"newText\":\"ok\"}]}"}}]`,
|
|
},
|
|
}),
|
|
bufferedRunEvents(&iop.RunEvent{
|
|
Type: "complete",
|
|
Metadata: map[string]string{
|
|
"finish_reason": "tool_calls",
|
|
runtimeMetadataOpenAIToolCalls: `[{"id":"call_good","type":"function","function":{"name":"edit","arguments":"{\"path\":\"apps/client/test/client_bootstrap_test.dart\",\"edits\":[{\"newText\":\"ok\"}]}"}}]`,
|
|
},
|
|
}),
|
|
},
|
|
runIDs: []string{"run-bad", "run-good"},
|
|
}
|
|
|
|
srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama"}, fake, nil)
|
|
req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
|
|
"metadata":{},
|
|
"model":"qwen3.6:35b",
|
|
"stream":true,
|
|
"messages":[{"role":"user","content":"edit"}],
|
|
"tools":[{"type":"function","function":{"name":"edit","parameters":{"type":"object","properties":{"path":{"type":"string"},"edits":{"type":"array","items":{"type":"object","properties":{"newText":{"type":"string"}},"required":["newText"],"additionalProperties":false}}},"required":["path","edits"],"additionalProperties":false}}}],
|
|
"tool_choice":"auto"
|
|
}`))
|
|
w := httptest.NewRecorder()
|
|
|
|
srv.handleChatCompletions(w, req)
|
|
|
|
if w.Code != http.StatusOK {
|
|
t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
|
|
}
|
|
reqs := fake.reqsSnapshot()
|
|
if len(reqs) != 2 {
|
|
t.Fatalf("submit attempts: got %d want 2", len(reqs))
|
|
}
|
|
if reqs[0].Metadata[runtimeMetadataToolValidationAttempt] != "1" {
|
|
t.Fatalf("first attempt metadata: %+v", reqs[0].Metadata)
|
|
}
|
|
if reqs[1].Metadata[runtimeMetadataToolValidationAttempt] != "2" || reqs[1].Metadata[runtimeMetadataToolValidationRetryOf] != "run-bad" {
|
|
t.Fatalf("retry metadata: %+v", reqs[1].Metadata)
|
|
}
|
|
if !strings.Contains(reqs[1].Metadata[runtimeMetadataToolValidationFailure], "$.arguments.path is required") {
|
|
t.Fatalf("retry failure reason: %+v", reqs[1].Metadata)
|
|
}
|
|
body := w.Body.String()
|
|
if strings.Contains(body, "call_bad") {
|
|
t.Fatalf("buffered stream leaked invalid tool call before retry:\n%s", body)
|
|
}
|
|
if !strings.Contains(body, "call_good") || !strings.Contains(body, `"finish_reason":"tool_calls"`) || !strings.Contains(body, "data: [DONE]") {
|
|
t.Fatalf("buffered stream did not emit validated tool call:\n%s", body)
|
|
}
|
|
}
|
|
|
|
func TestChatCompletionsStrictBufferedStreamRetriesMalformedToolCallBeforeChunk(t *testing.T) {
|
|
fake := &fakeRunService{
|
|
eventRuns: []chan *iop.RunEvent{
|
|
bufferedRunEvents(&iop.RunEvent{
|
|
Type: "complete",
|
|
Metadata: map[string]string{
|
|
"finish_reason": "tool_calls",
|
|
runtimeMetadataOpenAIToolCalls: `[{"id":"call_bad","type":"function","function":{"name":"run_commands","arguments":"{\"commands\":\"git status\"}"}}]`,
|
|
},
|
|
}),
|
|
bufferedRunEvents(&iop.RunEvent{
|
|
Type: "complete",
|
|
Metadata: map[string]string{
|
|
"finish_reason": "tool_calls",
|
|
runtimeMetadataOpenAIToolCalls: `[{"id":"call_good","type":"function","function":{"name":"run_commands","arguments":"{\"commands\":[\"git status\"]}"}}]`,
|
|
},
|
|
}),
|
|
},
|
|
runIDs: []string{"run-bad", "run-good"},
|
|
}
|
|
|
|
srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama", StrictOutput: true, StrictStreamBuffer: true}, fake, nil)
|
|
req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
|
|
"metadata":{},
|
|
"model":"qwen3.6:35b",
|
|
"stream":true,
|
|
"messages":[{"role":"user","content":"status"}],
|
|
"tools":[{"type":"function","function":{"name":"run_commands","parameters":{"type":"object","properties":{"commands":{"type":"array","items":{"type":"string"}}},"required":["commands"],"additionalProperties":false}}}],
|
|
"tool_choice":"auto"
|
|
}`))
|
|
w := httptest.NewRecorder()
|
|
|
|
srv.handleChatCompletions(w, req)
|
|
|
|
if w.Code != http.StatusOK {
|
|
t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
|
|
}
|
|
reqs := fake.reqsSnapshot()
|
|
if len(reqs) != 2 {
|
|
t.Fatalf("submit attempts: got %d want 2", len(reqs))
|
|
}
|
|
if reqs[0].Metadata[runtimeMetadataToolValidationAttempt] != "1" {
|
|
t.Fatalf("first attempt metadata: %+v", reqs[0].Metadata)
|
|
}
|
|
if reqs[1].Metadata[runtimeMetadataToolValidationAttempt] != "2" || reqs[1].Metadata[runtimeMetadataToolValidationRetryOf] != "run-bad" {
|
|
t.Fatalf("retry metadata: %+v", reqs[1].Metadata)
|
|
}
|
|
body := w.Body.String()
|
|
if strings.Contains(body, "call_bad") {
|
|
t.Fatalf("buffered stream leaked invalid tool call before retry:\n%s", body)
|
|
}
|
|
if !strings.Contains(body, "call_good") || !strings.Contains(body, `"finish_reason":"tool_calls"`) || !strings.Contains(body, "data: [DONE]") {
|
|
t.Fatalf("buffered stream did not emit validated tool call:\n%s", body)
|
|
}
|
|
}
|
|
|
|
func TestChatCompletionsStrictBufferedStreamFailsMalformedToolCallAfterRetryLimit(t *testing.T) {
|
|
invalidComplete := func(id string) *iop.RunEvent {
|
|
return &iop.RunEvent{
|
|
Type: "complete",
|
|
Metadata: map[string]string{
|
|
"finish_reason": "tool_calls",
|
|
runtimeMetadataOpenAIToolCalls: fmt.Sprintf(`[{"id":%q,"type":"function","function":{"name":"run_commands","arguments":"{\"unexpected\":true}"}}]`, id),
|
|
},
|
|
}
|
|
}
|
|
fake := &fakeRunService{
|
|
eventRuns: []chan *iop.RunEvent{
|
|
bufferedRunEvents(invalidComplete("call_bad_1")),
|
|
bufferedRunEvents(invalidComplete("call_bad_2")),
|
|
},
|
|
runIDs: []string{"run-bad-1", "run-bad-2"},
|
|
}
|
|
|
|
srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama", StrictOutput: true, StrictStreamBuffer: true}, fake, nil)
|
|
req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(`{
|
|
"metadata":{},
|
|
"model":"qwen3.6:35b",
|
|
"stream":true,
|
|
"messages":[{"role":"user","content":"status"}],
|
|
"tools":[{"type":"function","function":{"name":"run_commands","parameters":{"type":"object","properties":{"commands":{"type":"array","items":{"type":"string"}}},"required":["commands"],"additionalProperties":false}}}],
|
|
"tool_choice":{"type":"function","function":{"name":"run_commands"}}
|
|
}`))
|
|
w := httptest.NewRecorder()
|
|
|
|
srv.handleChatCompletions(w, req)
|
|
|
|
if w.Code != http.StatusOK {
|
|
t.Fatalf("status: got %d body=%s", w.Code, w.Body.String())
|
|
}
|
|
body := w.Body.String()
|
|
if !strings.Contains(body, `"type":"tool_validation_error"`) || !strings.Contains(body, "$.arguments.commands is required") {
|
|
t.Fatalf("expected tool_validation_error SSE body, got:\n%s", body)
|
|
}
|
|
if strings.Contains(body, "call_bad") {
|
|
t.Fatalf("buffered stream leaked invalid tool call chunk after retry limit:\n%s", body)
|
|
}
|
|
if !strings.Contains(body, "data: [DONE]") {
|
|
t.Fatalf("buffered stream error should terminate with [DONE]:\n%s", body)
|
|
}
|
|
if reqs := fake.reqsSnapshot(); len(reqs) != 2 {
|
|
t.Fatalf("submit attempts: got %d want 2", len(reqs))
|
|
}
|
|
}
|
|
|
|
func TestChatCompletionsRejectsUnsupportedFields(t *testing.T) {
|
|
srv := NewServer(config.EdgeOpenAIConf{Adapter: "ollama", Target: "llama"}, &fakeRunService{}, nil)
|
|
cases := []struct {
|
|
name string
|
|
body string
|
|
}{
|
|
{"options wrapper", `{"model":"m","messages":[{"role":"user","content":"hi"}],"options":{"num_ctx":8192}}`},
|
|
{"format", `{"model":"m","messages":[{"role":"user","content":"hi"}],"format":"json"}`},
|
|
{"keep_alive", `{"model":"m","messages":[{"role":"user","content":"hi"}],"keep_alive":"10m"}`},
|
|
{"bad max_tokens", `{"model":"m","messages":[{"role":"user","content":"hi"}],"max_tokens":0}`},
|
|
{"bad top_p", `{"model":"m","messages":[{"role":"user","content":"hi"}],"top_p":2}`},
|
|
}
|
|
for _, tc := range cases {
|
|
t.Run(tc.name, func(t *testing.T) {
|
|
req := httptest.NewRequest(http.MethodPost, "/v1/chat/completions", strings.NewReader(tc.body))
|
|
w := httptest.NewRecorder()
|
|
srv.routes().ServeHTTP(w, req)
|
|
if w.Code != http.StatusBadRequest {
|
|
t.Fatalf("got %d want 400, body=%s", w.Code, w.Body.String())
|
|
}
|
|
})
|
|
}
|
|
}
|