chore(provider): use openai responses api for azure openai endpoints (#2110)

Migrate Azure OpenAI provider from legacy Chat Completions API to the OpenAI Responses API.

- Switch API endpoint from `/openai/deployments/{deployment}/chat/completions` to `/openai/v1/responses`
- Change auth header from `Api-Key` to `Authorization: Bearer`
- Use `responses.ResponseNewParams` SDK types for request construction
- Extract shared Responses API utilities into `openai_responses_common` package
- Deduplicate 178 lines from codex_provider.go by reusing shared package
- Add 593 lines of comprehensive test coverage for the shared package

Closes #2111

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

pkg/providers/azure/provider.go

@@ -10,7 +10,11 @@ import (
 	"strings"
 	"time"
 
+	"github.com/openai/openai-go/v3"
+	"github.com/openai/openai-go/v3/responses"
+
 	"github.com/sipeed/picoclaw/pkg/providers/common"
+	orc "github.com/sipeed/picoclaw/pkg/providers/openai_responses_common"
 	"github.com/sipeed/picoclaw/pkg/providers/protocoltypes"
 )
 
@@ -21,14 +25,12 @@ type (
 )
 
 const (
-	// azureAPIVersion is the Azure OpenAI API version used for all requests.
-	azureAPIVersion       = "2024-10-21"
 	defaultRequestTimeout = common.DefaultRequestTimeout
 )
 
 // Provider implements the LLM provider interface for Azure OpenAI endpoints.
-// It handles Azure-specific authentication (api-key header), URL construction
+// It handles Azure-specific authentication (Bearer token), URL construction
-// (deployment-based), and request body formatting (max_completion_tokens, no model field).
+// (Responses API), and request/response formatting.
 type Provider struct {
 	apiKey     string
 	apiBase    string
@@ -72,8 +74,8 @@ func NewProviderWithTimeout(apiKey, apiBase, proxy string, requestTimeoutSeconds
 	)
 }
 
-// Chat sends a chat completion request to the Azure OpenAI endpoint.
+// Chat sends a request to the Azure OpenAI Responses API endpoint.
-// The model parameter is used as the Azure deployment name in the URL.
+// The model parameter is passed in the request body.
 func (p *Provider) Chat(
 	ctx context.Context,
 	messages []Message,
@@ -85,34 +87,43 @@ func (p *Provider) Chat(
 		return nil, fmt.Errorf("Azure API base not configured")
 	}
 
-	// model is the deployment name for Azure OpenAI
+	requestURL, err := url.JoinPath(p.apiBase, "openai/v1/responses")
-	deployment := model
-
-	// Build Azure-specific URL safely using url.JoinPath and query encoding
-	// to prevent path traversal or query injection via deployment names.
-	base, err := url.JoinPath(p.apiBase, "openai/deployments", deployment, "chat/completions")
 	if err != nil {
 		return nil, fmt.Errorf("failed to build Azure request URL: %w", err)
 	}
-	requestURL := base + "?api-version=" + azureAPIVersion
 
-	// Build request body — no "model" field (Azure infers from deployment URL)
+	input, instructions := orc.TranslateMessages(messages)
-	requestBody := map[string]any{
+
-		"messages": common.SerializeMessages(messages),
+	requestBody := responses.ResponseNewParams{
+		Model: model,
+		Input: responses.ResponseNewParamsInputUnion{
+			OfInputItemList: input,
+		},
+		Store: openai.Opt(false),
+	}
+
+	if instructions != "" {
+		requestBody.Instructions = openai.Opt(instructions)
 	}
 
 	if len(tools) > 0 {
-		requestBody["tools"] = tools
+		enableWebSearch, _ := options["native_search"].(bool)
-		requestBody["tool_choice"] = "auto"
+		requestBody.Tools = orc.TranslateTools(tools, enableWebSearch)
+		requestBody.ToolChoice = responses.ResponseNewParamsToolChoiceUnion{
+			OfToolChoiceMode: openai.Opt(responses.ToolChoiceOptionsAuto),
+		}
 	}
 
-	// Azure OpenAI always uses max_completion_tokens
 	if maxTokens, ok := common.AsInt(options["max_tokens"]); ok {
-		requestBody["max_completion_tokens"] = maxTokens
+		requestBody.MaxOutputTokens = openai.Opt(int64(maxTokens))
 	}
 
 	if temperature, ok := common.AsFloat(options["temperature"]); ok {
-		requestBody["temperature"] = temperature
+		requestBody.Temperature = openai.Opt(temperature)
+	}
+
+	if cacheKey, ok := options["prompt_cache_key"].(string); ok && cacheKey != "" {
+		requestBody.PromptCacheKey = openai.Opt(cacheKey)
 	}
 
 	jsonData, err := json.Marshal(requestBody)
@@ -125,10 +136,9 @@ func (p *Provider) Chat(
 		return nil, fmt.Errorf("failed to create request: %w", err)
 	}
 
-	// Azure uses api-key header instead of Authorization: Bearer
 	req.Header.Set("Content-Type", "application/json")
 	if p.apiKey != "" {
-		req.Header.Set("Api-Key", p.apiKey)
+		req.Header.Set("Authorization", "Bearer "+p.apiKey)
 	}
 
 	resp, err := p.httpClient.Do(req)
@@ -141,7 +151,7 @@ func (p *Provider) Chat(
 		return nil, common.HandleErrorResponse(resp, p.apiBase)
 	}
 
-	return common.ReadAndParseResponse(resp, p.apiBase)
+	return orc.ParseResponseBody(resp.Body)
 }
 
 // GetDefaultModel returns an empty string as Azure deployments are user-configured.

pkg/providers/azure/provider_test.go

@@ -6,17 +6,31 @@ import (
 	"net/http/httptest"
 	"testing"
 	"time"
+
+	"github.com/sipeed/picoclaw/pkg/providers/protocoltypes"
 )
 
-// writeValidResponse writes a minimal valid Azure OpenAI chat completion response.
+// writeValidResponse writes a minimal valid Responses API response.
 func writeValidResponse(w http.ResponseWriter) {
 	resp := map[string]any{
-		"choices": []map[string]any{
+		"id":     "resp_test",
+		"object": "response",
+		"status": "completed",
+		"output": []map[string]any{
 			{
-				"message":       map[string]any{"content": "ok"},
+				"type": "message",
-				"finish_reason": "stop",
+				"content": []map[string]any{
+					{"type": "output_text", "text": "ok"},
 				},
 			},
+		},
+		"usage": map[string]any{
+			"input_tokens":          5,
+			"output_tokens":         2,
+			"total_tokens":          7,
+			"input_tokens_details":  map[string]any{"cached_tokens": 0},
+			"output_tokens_details": map[string]any{"reasoning_tokens": 0},
+		},
 	}
 	w.Header().Set("Content-Type", "application/json")
 	json.NewEncoder(w).Encode(resp)
@@ -24,11 +38,9 @@ func writeValidResponse(w http.ResponseWriter) {
 
 func TestProviderChat_AzureURLConstruction(t *testing.T) {
 	var capturedPath string
-	var capturedAPIVersion string
 
 	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
 		capturedPath = r.URL.Path
-		capturedAPIVersion = r.URL.Query().Get("api-version")
 		writeValidResponse(w)
 	}))
 	defer server.Close()
@@ -39,22 +51,19 @@ func TestProviderChat_AzureURLConstruction(t *testing.T) {
 		t.Fatalf("Chat() error = %v", err)
 	}
 
-	wantPath := "/openai/deployments/my-gpt5-deployment/chat/completions"
+	wantPath := "/openai/v1/responses"
 	if capturedPath != wantPath {
 		t.Errorf("URL path = %q, want %q", capturedPath, wantPath)
 	}
-	if capturedAPIVersion != azureAPIVersion {
-		t.Errorf("api-version = %q, want %q", capturedAPIVersion, azureAPIVersion)
-	}
 }
 
 func TestProviderChat_AzureAuthHeader(t *testing.T) {
-	var capturedAPIKey string
 	var capturedAuth string
+	var capturedAPIKey string
 
 	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
-		capturedAPIKey = r.Header.Get("Api-Key")
 		capturedAuth = r.Header.Get("Authorization")
+		capturedAPIKey = r.Header.Get("Api-Key")
 		writeValidResponse(w)
 	}))
 	defer server.Close()
@@ -65,15 +74,15 @@ func TestProviderChat_AzureAuthHeader(t *testing.T) {
 		t.Fatalf("Chat() error = %v", err)
 	}
 
-	if capturedAPIKey != "test-azure-key" {
+	if capturedAuth != "Bearer test-azure-key" {
-		t.Errorf("api-key header = %q, want %q", capturedAPIKey, "test-azure-key")
+		t.Errorf("Authorization header = %q, want %q", capturedAuth, "Bearer test-azure-key")
 	}
-	if capturedAuth != "" {
+	if capturedAPIKey != "" {
-		t.Errorf("Authorization header should be empty, got %q", capturedAuth)
+		t.Errorf("Api-Key header should be empty, got %q", capturedAPIKey)
 	}
 }
 
-func TestProviderChat_AzureOmitsModelFromBody(t *testing.T) {
+func TestProviderChat_AzureRequestBodyContainsModel(t *testing.T) {
 	var requestBody map[string]any
 
 	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
@@ -83,17 +92,17 @@ func TestProviderChat_AzureOmitsModelFromBody(t *testing.T) {
 	defer server.Close()
 
 	p := NewProvider("test-key", server.URL, "")
-	_, err := p.Chat(t.Context(), []Message{{Role: "user", Content: "hi"}}, nil, "deployment", nil)
+	_, err := p.Chat(t.Context(), []Message{{Role: "user", Content: "hi"}}, nil, "my-deployment", nil)
 	if err != nil {
 		t.Fatalf("Chat() error = %v", err)
 	}
 
-	if _, exists := requestBody["model"]; exists {
+	if requestBody["model"] != "my-deployment" {
-		t.Error("request body should not contain 'model' field for Azure OpenAI")
+		t.Errorf("model = %v, want %q", requestBody["model"], "my-deployment")
 	}
 }
 
-func TestProviderChat_AzureUsesMaxCompletionTokens(t *testing.T) {
+func TestProviderChat_AzureUsesMaxOutputTokens(t *testing.T) {
 	var requestBody map[string]any
 
 	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
@@ -114,12 +123,35 @@ func TestProviderChat_AzureUsesMaxCompletionTokens(t *testing.T) {
 		t.Fatalf("Chat() error = %v", err)
 	}
 
-	if _, exists := requestBody["max_completion_tokens"]; !exists {
+	if requestBody["max_output_tokens"] == nil {
-		t.Error("request body should contain 'max_completion_tokens'")
+		t.Error("request body should contain 'max_output_tokens'")
 	}
 	if _, exists := requestBody["max_tokens"]; exists {
 		t.Error("request body should not contain 'max_tokens'")
 	}
+	if _, exists := requestBody["max_completion_tokens"]; exists {
+		t.Error("request body should not contain 'max_completion_tokens'")
+	}
+}
+
+func TestProviderChat_AzureStoreIsFalse(t *testing.T) {
+	var requestBody map[string]any
+
+	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		json.NewDecoder(r.Body).Decode(&requestBody)
+		writeValidResponse(w)
+	}))
+	defer server.Close()
+
+	p := NewProvider("test-key", server.URL, "")
+	_, err := p.Chat(t.Context(), []Message{{Role: "user", Content: "hi"}}, nil, "deployment", nil)
+	if err != nil {
+		t.Fatalf("Chat() error = %v", err)
+	}
+
+	if requestBody["store"] != false {
+		t.Errorf("store = %v, want false", requestBody["store"])
+	}
 }
 
 func TestProviderChat_AzureHTTPError(t *testing.T) {
@@ -135,26 +167,65 @@ func TestProviderChat_AzureHTTPError(t *testing.T) {
 	}
 }
 
+func TestProviderChat_AzureParseTextOutput(t *testing.T) {
+	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		resp := map[string]any{
+			"id":     "resp_1",
+			"object": "response",
+			"status": "completed",
+			"output": []map[string]any{
+				{
+					"type": "message",
+					"content": []map[string]any{
+						{"type": "output_text", "text": "Hello there!"},
+					},
+				},
+			},
+			"usage": map[string]any{
+				"input_tokens": 10, "output_tokens": 5, "total_tokens": 15,
+				"input_tokens_details":  map[string]any{"cached_tokens": 0},
+				"output_tokens_details": map[string]any{"reasoning_tokens": 0},
+			},
+		}
+		w.Header().Set("Content-Type", "application/json")
+		json.NewEncoder(w).Encode(resp)
+	}))
+	defer server.Close()
+
+	p := NewProvider("test-key", server.URL, "")
+	out, err := p.Chat(t.Context(), []Message{{Role: "user", Content: "hi"}}, nil, "deployment", nil)
+	if err != nil {
+		t.Fatalf("Chat() error = %v", err)
+	}
+	if out.Content != "Hello there!" {
+		t.Errorf("Content = %q, want %q", out.Content, "Hello there!")
+	}
+	if out.FinishReason != "stop" {
+		t.Errorf("FinishReason = %q, want %q", out.FinishReason, "stop")
+	}
+	if out.Usage.TotalTokens != 15 {
+		t.Errorf("TotalTokens = %d, want 15", out.Usage.TotalTokens)
+	}
+}
+
 func TestProviderChat_AzureParseToolCalls(t *testing.T) {
 	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
 		resp := map[string]any{
-			"choices": []map[string]any{
+			"id":     "resp_2",
+			"object": "response",
+			"status": "completed",
+			"output": []map[string]any{
 				{
-					"message": map[string]any{
+					"type":      "function_call",
-						"content": "",
+					"call_id":   "call_1",
-						"tool_calls": []map[string]any{
-							{
-								"id":   "call_1",
-								"type": "function",
-								"function": map[string]any{
 					"name":      "get_weather",
 					"arguments": `{"city":"Seattle"}`,
 				},
 			},
-						},
+			"usage": map[string]any{
-					},
+				"input_tokens": 10, "output_tokens": 8, "total_tokens": 18,
-					"finish_reason": "tool_calls",
+				"input_tokens_details":  map[string]any{"cached_tokens": 0},
-				},
+				"output_tokens_details": map[string]any{"reasoning_tokens": 0},
 			},
 		}
 		w.Header().Set("Content-Type", "application/json")
@@ -167,13 +238,15 @@ func TestProviderChat_AzureParseToolCalls(t *testing.T) {
 	if err != nil {
 		t.Fatalf("Chat() error = %v", err)
 	}
-
 	if len(out.ToolCalls) != 1 {
 		t.Fatalf("len(ToolCalls) = %d, want 1", len(out.ToolCalls))
 	}
 	if out.ToolCalls[0].Name != "get_weather" {
 		t.Errorf("ToolCalls[0].Name = %q, want %q", out.ToolCalls[0].Name, "get_weather")
 	}
+	if out.FinishReason != "tool_calls" {
+		t.Errorf("FinishReason = %q, want %q", out.FinishReason, "tool_calls")
+	}
 }
 
 func TestProvider_AzureEmptyAPIBase(t *testing.T) {
@@ -205,28 +278,103 @@ func TestProvider_AzureNewProviderWithTimeout(t *testing.T) {
 	}
 }
 
-func TestProviderChat_AzureDeploymentNameEscaped(t *testing.T) {
+func TestProviderChat_AzureNativeWebSearchInjection(t *testing.T) {
-	var capturedPath string
+	var requestBody map[string]any
 
 	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
-		capturedPath = r.URL.RawPath // use RawPath to see percent-encoding
+		json.NewDecoder(r.Body).Decode(&requestBody)
-		if capturedPath == "" {
-			capturedPath = r.URL.Path
-		}
 		writeValidResponse(w)
 	}))
 	defer server.Close()
 
+	tools := []ToolDefinition{
+		{
+			Type: "function",
+			Function: protocoltypes.ToolFunctionDefinition{
+				Name:        "web_search",
+				Description: "local web search",
+				Parameters:  map[string]any{"type": "object"},
+			},
+		},
+		{
+			Type: "function",
+			Function: protocoltypes.ToolFunctionDefinition{
+				Name:        "read_file",
+				Description: "read a file",
+				Parameters:  map[string]any{"type": "object"},
+			},
+		},
+	}
+
 	p := NewProvider("test-key", server.URL, "")
 
-	// Deployment name with characters that could cause path injection
+	// With native_search=true: user-defined web_search should be replaced by built-in
-	_, err := p.Chat(t.Context(), []Message{{Role: "user", Content: "hi"}}, nil, "my deploy/../../admin", nil)
+	_, err := p.Chat(t.Context(), []Message{{Role: "user", Content: "hi"}}, tools, "deployment",
+		map[string]any{"native_search": true})
 	if err != nil {
 		t.Fatalf("Chat() error = %v", err)
 	}
 
-	// The slash and special chars in the deployment name must be escaped, not treated as path separators
+	toolsAny, ok := requestBody["tools"].([]any)
-	if capturedPath == "/openai/deployments/my deploy/../../admin/chat/completions" {
+	if !ok {
-		t.Fatal("deployment name was interpolated without escaping — path injection possible")
+		t.Fatal("request body should contain 'tools' array")
+	}
+	if len(toolsAny) != 2 {
+		t.Fatalf("len(tools) = %d, want 2 (read_file + web_search builtin)", len(toolsAny))
+	}
+
+	// First tool should be read_file (user-defined web_search was skipped)
+	firstTool, _ := toolsAny[0].(map[string]any)
+	if firstTool["name"] != "read_file" {
+		t.Errorf("first tool name = %v, want %q", firstTool["name"], "read_file")
+	}
+
+	// Second tool should be built-in web_search
+	secondTool, _ := toolsAny[1].(map[string]any)
+	if secondTool["type"] != "web_search" {
+		t.Errorf("second tool type = %v, want %q", secondTool["type"], "web_search")
+	}
+}
+
+func TestProviderChat_AzureNoNativeWebSearch(t *testing.T) {
+	var requestBody map[string]any
+
+	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		json.NewDecoder(r.Body).Decode(&requestBody)
+		writeValidResponse(w)
+	}))
+	defer server.Close()
+
+	tools := []ToolDefinition{
+		{
+			Type: "function",
+			Function: protocoltypes.ToolFunctionDefinition{
+				Name:        "web_search",
+				Description: "local web search",
+				Parameters:  map[string]any{"type": "object"},
+			},
+		},
+	}
+
+	p := NewProvider("test-key", server.URL, "")
+
+	// Without native_search: user-defined web_search should be kept as-is
+	_, err := p.Chat(t.Context(), []Message{{Role: "user", Content: "hi"}}, tools, "deployment", nil)
+	if err != nil {
+		t.Fatalf("Chat() error = %v", err)
+	}
+
+	toolsAny, ok := requestBody["tools"].([]any)
+	if !ok {
+		t.Fatal("request body should contain 'tools' array")
+	}
+	if len(toolsAny) != 1 {
+		t.Fatalf("len(tools) = %d, want 1", len(toolsAny))
+	}
+
+	// Should be the user-defined function tool, not built-in
+	tool, _ := toolsAny[0].(map[string]any)
+	if tool["type"] != "function" {
+		t.Errorf("tool type = %v, want %q", tool["type"], "function")
 	}
 }

pkg/providers/codex_provider.go

@@ -2,7 +2,6 @@ package providers
 
 import (
 	"context"
-	"encoding/json"
 	"errors"
 	"fmt"
 	"strings"
@@ -13,6 +12,7 @@ import (
 
 	"github.com/sipeed/picoclaw/pkg/auth"
 	"github.com/sipeed/picoclaw/pkg/logger"
+	orc "github.com/sipeed/picoclaw/pkg/providers/openai_responses_common"
 )
 
 const (
@@ -96,7 +96,7 @@ func (p *CodexProvider) Chat(
 	}
 
 	// Respect tools.web.prefer_native: only inject native search when the agent
-	// loop requested it (options["native_search"]), so prefer_native: false
+	// loop passes options["native_search"]=true, so prefer_native=false means no injection.
 	useNativeSearch := p.enableWebSearch && (options["native_search"] == true)
 	params := buildCodexParams(messages, tools, resolvedModel, options, useNativeSearch)
 
@@ -153,7 +153,7 @@ func (p *CodexProvider) Chat(
 		return nil, fmt.Errorf("codex API call: stream ended without completed response")
 	}
 
-	return parseCodexResponse(resp), nil
+	return orc.ParseResponseFromStruct(resp), nil
 }
 
 func (p *CodexProvider) GetDefaultModel() string {
@@ -209,88 +209,13 @@ func resolveCodexModel(model string) (string, string) {
 func buildCodexParams(
 	messages []Message, tools []ToolDefinition, model string, options map[string]any, enableWebSearch bool,
 ) responses.ResponseNewParams {
-	var inputItems responses.ResponseInputParam
+	inputItems, instructions := orc.TranslateMessages(messages)
-	var instructions string
-
-	for _, msg := range messages {
-		switch msg.Role {
-		case "system":
-			// Use the full concatenated system prompt (static + dynamic + summary)
-			// as instructions. This keeps behavior consistent with Anthropic and
-			// OpenAI-compat adapters where the complete system context lives in
-			// one place. Prefix caching is handled by prompt_cache_key below,
-			// not by splitting content across instructions vs input messages.
-			instructions = msg.Content
-		case "user":
-			if msg.ToolCallID != "" {
-				inputItems = append(inputItems, responses.ResponseInputItemUnionParam{
-					OfFunctionCallOutput: &responses.ResponseInputItemFunctionCallOutputParam{
-						CallID: msg.ToolCallID,
-						Output: responses.ResponseInputItemFunctionCallOutputOutputUnionParam{
-							OfString: openai.Opt(msg.Content),
-						},
-					},
-				})
-			} else {
-				inputItems = append(inputItems, responses.ResponseInputItemUnionParam{
-					OfMessage: &responses.EasyInputMessageParam{
-						Role:    responses.EasyInputMessageRoleUser,
-						Content: responses.EasyInputMessageContentUnionParam{OfString: openai.Opt(msg.Content)},
-					},
-				})
-			}
-		case "assistant":
-			if len(msg.ToolCalls) > 0 {
-				if msg.Content != "" {
-					inputItems = append(inputItems, responses.ResponseInputItemUnionParam{
-						OfMessage: &responses.EasyInputMessageParam{
-							Role:    responses.EasyInputMessageRoleAssistant,
-							Content: responses.EasyInputMessageContentUnionParam{OfString: openai.Opt(msg.Content)},
-						},
-					})
-				}
-				for _, tc := range msg.ToolCalls {
-					name, args, ok := resolveCodexToolCall(tc)
-					if !ok {
-						logger.WarnCF("provider.codex", "Skipping invalid tool call in history", map[string]any{
-							"call_id": tc.ID,
-						})
-						continue
-					}
-					inputItems = append(inputItems, responses.ResponseInputItemUnionParam{
-						OfFunctionCall: &responses.ResponseFunctionToolCallParam{
-							CallID:    tc.ID,
-							Name:      name,
-							Arguments: args,
-						},
-					})
-				}
-			} else {
-				inputItems = append(inputItems, responses.ResponseInputItemUnionParam{
-					OfMessage: &responses.EasyInputMessageParam{
-						Role:    responses.EasyInputMessageRoleAssistant,
-						Content: responses.EasyInputMessageContentUnionParam{OfString: openai.Opt(msg.Content)},
-					},
-				})
-			}
-		case "tool":
-			inputItems = append(inputItems, responses.ResponseInputItemUnionParam{
-				OfFunctionCallOutput: &responses.ResponseInputItemFunctionCallOutputParam{
-					CallID: msg.ToolCallID,
-					Output: responses.ResponseInputItemFunctionCallOutputOutputUnionParam{
-						OfString: openai.Opt(msg.Content),
-					},
-				},
-			})
-		}
-	}
 
 	params := responses.ResponseNewParams{
 		Model: model,
 		Input: responses.ResponseNewParamsInputUnion{
 			OfInputItemList: inputItems,
 		},
-		Instructions: openai.Opt(instructions),
 		Store: openai.Opt(false),
 	}
 
@@ -309,115 +234,12 @@ func buildCodexParams(
 	}
 
 	if len(tools) > 0 || enableWebSearch {
-		params.Tools = translateToolsForCodex(tools, enableWebSearch)
+		params.Tools = orc.TranslateTools(tools, enableWebSearch)
 	}
 
 	return params
 }
 
-func resolveCodexToolCall(tc ToolCall) (name string, arguments string, ok bool) {
-	name = tc.Name
-	if name == "" && tc.Function != nil {
-		name = tc.Function.Name
-	}
-	if name == "" {
-		return "", "", false
-	}
-
-	if len(tc.Arguments) > 0 {
-		argsJSON, err := json.Marshal(tc.Arguments)
-		if err != nil {
-			return "", "", false
-		}
-		return name, string(argsJSON), true
-	}
-
-	if tc.Function != nil && tc.Function.Arguments != "" {
-		return name, tc.Function.Arguments, true
-	}
-
-	return name, "{}", true
-}
-
-func translateToolsForCodex(tools []ToolDefinition, enableWebSearch bool) []responses.ToolUnionParam {
-	capHint := len(tools)
-	if enableWebSearch {
-		capHint++
-	}
-	result := make([]responses.ToolUnionParam, 0, capHint)
-	for _, t := range tools {
-		if t.Type != "function" {
-			continue
-		}
-		if enableWebSearch && strings.EqualFold(t.Function.Name, "web_search") {
-			continue
-		}
-		ft := responses.FunctionToolParam{
-			Name:       t.Function.Name,
-			Parameters: t.Function.Parameters,
-			Strict:     openai.Opt(false),
-		}
-		if t.Function.Description != "" {
-			ft.Description = openai.Opt(t.Function.Description)
-		}
-		result = append(result, responses.ToolUnionParam{OfFunction: &ft})
-	}
-	if enableWebSearch {
-		result = append(result, responses.ToolParamOfWebSearch(responses.WebSearchToolTypeWebSearch))
-	}
-	return result
-}
-
-func parseCodexResponse(resp *responses.Response) *LLMResponse {
-	var content strings.Builder
-	var toolCalls []ToolCall
-
-	for _, item := range resp.Output {
-		switch item.Type {
-		case "message":
-			for _, c := range item.Content {
-				if c.Type == "output_text" {
-					content.WriteString(c.Text)
-				}
-			}
-		case "function_call":
-			var args map[string]any
-			if err := json.Unmarshal([]byte(item.Arguments), &args); err != nil {
-				args = map[string]any{"raw": item.Arguments}
-			}
-			toolCalls = append(toolCalls, ToolCall{
-				ID:        item.CallID,
-				Name:      item.Name,
-				Arguments: args,
-			})
-		}
-	}
-
-	finishReason := "stop"
-	if len(toolCalls) > 0 {
-		finishReason = "tool_calls"
-	}
-	if resp.Status == "incomplete" {
-		finishReason = "length"
-	}
-
-	var usage *UsageInfo
-	if resp.Usage.TotalTokens > 0 {
-		usage = &UsageInfo{
-			PromptTokens:     int(resp.Usage.InputTokens),
-			CompletionTokens: int(resp.Usage.OutputTokens),
-			TotalTokens:      int(resp.Usage.TotalTokens),
-		}
-	}
-
-	return &LLMResponse{
-		Content:      content.String(),
-		ToolCalls:    toolCalls,
-		FinishReason: finishReason,
-		Usage:        usage,
-	}
-}
-
 func createCodexTokenSource() func() (string, string, error) {
 	return func() (string, string, error) {
 		cred, err := auth.GetCredential("openai")

pkg/providers/codex_provider_test.go

@@ -10,6 +10,8 @@ import (
 	"github.com/openai/openai-go/v3"
 	openaiopt "github.com/openai/openai-go/v3/option"
 	"github.com/openai/openai-go/v3/responses"
+
+	orc "github.com/sipeed/picoclaw/pkg/providers/openai_responses_common"
 )
 
 func TestBuildCodexParams_BasicMessage(t *testing.T) {
@@ -225,7 +227,7 @@ func TestParseCodexResponse_TextOutput(t *testing.T) {
 		t.Fatalf("unmarshal: %v", err)
 	}
 
-	result := parseCodexResponse(&resp)
+	result := orc.ParseResponseFromStruct(&resp)
 	if result.Content != "Hello there!" {
 		t.Errorf("Content = %q, want %q", result.Content, "Hello there!")
 	}
@@ -266,7 +268,7 @@ func TestParseCodexResponse_FunctionCall(t *testing.T) {
 		t.Fatalf("unmarshal: %v", err)
 	}
 
-	result := parseCodexResponse(&resp)
+	result := orc.ParseResponseFromStruct(&resp)
 	if len(result.ToolCalls) != 1 {
 		t.Fatalf("len(ToolCalls) = %d, want 1", len(result.ToolCalls))
 	}

pkg/providers/openai_responses_common/responses_common.go

@@ -0,0 +1,291 @@
+// Package openai_responses_common provides shared utilities for providers
+// that use the OpenAI Responses API (e.g., Azure, Codex).
+package openai_responses_common
+
+import (
+	"encoding/json"
+	"io"
+	"strings"
+
+	"github.com/openai/openai-go/v3"
+	"github.com/openai/openai-go/v3/responses"
+
+	"github.com/sipeed/picoclaw/pkg/providers/protocoltypes"
+)
+
+// TranslateMessages converts internal Message entries to the OpenAI Responses API
+// input format. System messages are extracted as instructions (returned separately),
+// user/assistant/tool messages become ResponseInputItemUnionParam entries.
+// Supports multipart media (images, audio).
+func TranslateMessages(messages []protocoltypes.Message) (input responses.ResponseInputParam, instructions string) {
+	input = make(responses.ResponseInputParam, 0, len(messages))
+
+	for _, msg := range messages {
+		switch msg.Role {
+		case "system":
+			instructions = msg.Content
+		case "user":
+			if msg.ToolCallID != "" {
+				input = append(input, responses.ResponseInputItemUnionParam{
+					OfFunctionCallOutput: &responses.ResponseInputItemFunctionCallOutputParam{
+						CallID: msg.ToolCallID,
+						Output: responses.ResponseInputItemFunctionCallOutputOutputUnionParam{
+							OfString: openai.Opt(msg.Content),
+						},
+					},
+				})
+			} else if len(msg.Media) > 0 {
+				content := BuildMultipartContent(msg.Content, msg.Media)
+				input = append(input, responses.ResponseInputItemUnionParam{
+					OfInputMessage: &responses.ResponseInputItemMessageParam{
+						Role:    "user",
+						Content: content,
+					},
+				})
+			} else {
+				input = append(input, responses.ResponseInputItemUnionParam{
+					OfMessage: &responses.EasyInputMessageParam{
+						Role:    responses.EasyInputMessageRoleUser,
+						Content: responses.EasyInputMessageContentUnionParam{OfString: openai.Opt(msg.Content)},
+					},
+				})
+			}
+		case "assistant":
+			if len(msg.ToolCalls) > 0 {
+				if msg.Content != "" {
+					input = append(input, responses.ResponseInputItemUnionParam{
+						OfMessage: &responses.EasyInputMessageParam{
+							Role:    responses.EasyInputMessageRoleAssistant,
+							Content: responses.EasyInputMessageContentUnionParam{OfString: openai.Opt(msg.Content)},
+						},
+					})
+				}
+				for _, tc := range msg.ToolCalls {
+					name, args, ok := ResolveToolCall(tc)
+					if !ok {
+						continue
+					}
+					input = append(input, responses.ResponseInputItemUnionParam{
+						OfFunctionCall: &responses.ResponseFunctionToolCallParam{
+							CallID:    tc.ID,
+							Name:      name,
+							Arguments: args,
+						},
+					})
+				}
+			} else {
+				input = append(input, responses.ResponseInputItemUnionParam{
+					OfMessage: &responses.EasyInputMessageParam{
+						Role:    responses.EasyInputMessageRoleAssistant,
+						Content: responses.EasyInputMessageContentUnionParam{OfString: openai.Opt(msg.Content)},
+					},
+				})
+			}
+		case "tool":
+			input = append(input, responses.ResponseInputItemUnionParam{
+				OfFunctionCallOutput: &responses.ResponseInputItemFunctionCallOutputParam{
+					CallID: msg.ToolCallID,
+					Output: responses.ResponseInputItemFunctionCallOutputOutputUnionParam{
+						OfString: openai.Opt(msg.Content),
+					},
+				},
+			})
+		}
+	}
+
+	return input, instructions
+}
+
+// BuildMultipartContent constructs a ResponseInputMessageContentListParam from
+// text content and media URLs (data:image/... and data:audio/... URIs).
+func BuildMultipartContent(text string, media []string) responses.ResponseInputMessageContentListParam {
+	parts := make(responses.ResponseInputMessageContentListParam, 0, 1+len(media))
+
+	if text != "" {
+		parts = append(parts, responses.ResponseInputContentUnionParam{
+			OfInputText: &responses.ResponseInputTextParam{
+				Text: text,
+			},
+		})
+	}
+
+	for _, mediaURL := range media {
+		if strings.HasPrefix(mediaURL, "data:image/") {
+			parts = append(parts, responses.ResponseInputContentUnionParam{
+				OfInputImage: &responses.ResponseInputImageParam{
+					ImageURL: openai.Opt(mediaURL),
+					Detail:   responses.ResponseInputImageDetailAuto,
+				},
+			})
+		} else if strings.HasPrefix(mediaURL, "data:audio/") {
+			if format, data, ok := ParseDataAudioURL(mediaURL); ok {
+				parts = append(parts, responses.ResponseInputContentUnionParam{
+					OfInputFile: &responses.ResponseInputFileParam{
+						FileData: openai.Opt(data),
+						Filename: openai.Opt("audio." + format),
+					},
+				})
+			}
+		}
+	}
+
+	return parts
+}
+
+// ParseDataAudioURL extracts the format and base64 data from a data:audio/... URL.
+func ParseDataAudioURL(mediaURL string) (format, data string, ok bool) {
+	if !strings.HasPrefix(mediaURL, "data:audio/") {
+		return "", "", false
+	}
+	payload := strings.TrimPrefix(mediaURL, "data:audio/")
+	meta, data, found := strings.Cut(payload, ",")
+	if !found {
+		return "", "", false
+	}
+	format, _, _ = strings.Cut(meta, ";")
+	format = strings.TrimSpace(format)
+	data = strings.TrimSpace(data)
+	if format == "" || data == "" {
+		return "", "", false
+	}
+	return format, data, true
+}
+
+// ResolveToolCall extracts the function name and JSON arguments string from a ToolCall.
+// Returns ok=false if the tool call has no name or if arguments fail to marshal.
+func ResolveToolCall(tc protocoltypes.ToolCall) (name string, arguments string, ok bool) {
+	name = tc.Name
+	if name == "" && tc.Function != nil {
+		name = tc.Function.Name
+	}
+	if name == "" {
+		return "", "", false
+	}
+
+	if len(tc.Arguments) > 0 {
+		argsJSON, err := json.Marshal(tc.Arguments)
+		if err != nil {
+			return "", "", false
+		}
+		return name, string(argsJSON), true
+	}
+
+	if tc.Function != nil && tc.Function.Arguments != "" {
+		return name, tc.Function.Arguments, true
+	}
+
+	return name, "{}", true
+}
+
+// TranslateTools converts internal ToolDefinition entries to the OpenAI Responses API
+// tool format. If enableWebSearch is true, a web_search tool is appended and any
+// user-defined tool named "web_search" is skipped to avoid duplicates.
+func TranslateTools(tools []protocoltypes.ToolDefinition, enableWebSearch bool) []responses.ToolUnionParam {
+	capHint := len(tools)
+	if enableWebSearch {
+		capHint++
+	}
+	result := make([]responses.ToolUnionParam, 0, capHint)
+
+	for _, t := range tools {
+		if t.Type != "function" {
+			continue
+		}
+		if enableWebSearch && strings.EqualFold(t.Function.Name, "web_search") {
+			continue
+		}
+		ft := responses.FunctionToolParam{
+			Name:       t.Function.Name,
+			Parameters: t.Function.Parameters,
+			Strict:     openai.Opt(false),
+		}
+		if t.Function.Description != "" {
+			ft.Description = openai.Opt(t.Function.Description)
+		}
+		result = append(result, responses.ToolUnionParam{OfFunction: &ft})
+	}
+
+	if enableWebSearch {
+		result = append(result, responses.ToolParamOfWebSearch(responses.WebSearchToolTypeWebSearch))
+	}
+
+	return result
+}
+
+// ParseResponseBody parses an OpenAI Responses API JSON body into an LLMResponse.
+// Handles output item types: "message" (output_text + refusal), "function_call", and "reasoning".
+func ParseResponseBody(body io.Reader) (*protocoltypes.LLMResponse, error) {
+	var apiResp responses.Response
+	if err := json.NewDecoder(body).Decode(&apiResp); err != nil {
+		return nil, err
+	}
+
+	return parseResponse(&apiResp), nil
+}
+
+// ParseResponseFromStruct converts a decoded responses.Response into an LLMResponse.
+// Used by providers that receive the Response struct directly (e.g., via streaming SDK).
+func ParseResponseFromStruct(resp *responses.Response) *protocoltypes.LLMResponse {
+	return parseResponse(resp)
+}
+
+// parseResponse is the shared implementation for extracting LLMResponse fields
+// from a decoded responses.Response.
+func parseResponse(apiResp *responses.Response) *protocoltypes.LLMResponse {
+	var content strings.Builder
+	var reasoningContent strings.Builder
+	var toolCalls []protocoltypes.ToolCall
+
+	for _, item := range apiResp.Output {
+		switch item.Type {
+		case "message":
+			for _, c := range item.Content {
+				switch c.Type {
+				case "output_text":
+					content.WriteString(c.Text)
+				case "refusal":
+					content.WriteString(c.Refusal)
+				}
+			}
+		case "function_call":
+			var args map[string]any
+			if err := json.Unmarshal([]byte(item.Arguments), &args); err != nil {
+				args = map[string]any{"raw": item.Arguments}
+			}
+			toolCalls = append(toolCalls, protocoltypes.ToolCall{
+				ID:        item.CallID,
+				Name:      item.Name,
+				Arguments: args,
+			})
+		case "reasoning":
+			for _, s := range item.Summary {
+				reasoningContent.WriteString(s.Text)
+			}
+		}
+	}
+
+	finishReason := "stop"
+	if len(toolCalls) > 0 {
+		finishReason = "tool_calls"
+	}
+	if apiResp.Status == "incomplete" {
+		finishReason = "length"
+	}
+
+	var usage *protocoltypes.UsageInfo
+	if apiResp.Usage.TotalTokens > 0 {
+		usage = &protocoltypes.UsageInfo{
+			PromptTokens:     int(apiResp.Usage.InputTokens),
+			CompletionTokens: int(apiResp.Usage.OutputTokens),
+			TotalTokens:      int(apiResp.Usage.TotalTokens),
+		}
+	}
+
+	return &protocoltypes.LLMResponse{
+		Content:          content.String(),
+		ReasoningContent: reasoningContent.String(),
+		ToolCalls:        toolCalls,
+		FinishReason:     finishReason,
+		Usage:            usage,
+	}
+}

pkg/providers/openai_responses_common/responses_common_test.go

@@ -0,0 +1,593 @@
+package openai_responses_common
+
+import (
+	"encoding/json"
+	"strings"
+	"testing"
+
+	"github.com/sipeed/picoclaw/pkg/providers/protocoltypes"
+)
+
+// --- TranslateMessages tests ---
+
+func TestTranslateMessages_SystemExtractedAsInstructions(t *testing.T) {
+	msgs := []protocoltypes.Message{
+		{Role: "system", Content: "You are helpful"},
+		{Role: "user", Content: "Hi"},
+	}
+	input, instructions := TranslateMessages(msgs)
+	if instructions != "You are helpful" {
+		t.Errorf("instructions = %q, want %q", instructions, "You are helpful")
+	}
+	if len(input) != 1 {
+		t.Fatalf("len(input) = %d, want 1", len(input))
+	}
+	if input[0].OfMessage == nil {
+		t.Fatal("expected user message item")
+	}
+}
+
+func TestTranslateMessages_UserTextMessage(t *testing.T) {
+	msgs := []protocoltypes.Message{
+		{Role: "user", Content: "Hello"},
+	}
+	input, instructions := TranslateMessages(msgs)
+	if instructions != "" {
+		t.Errorf("instructions = %q, want empty", instructions)
+	}
+	if len(input) != 1 {
+		t.Fatalf("len(input) = %d, want 1", len(input))
+	}
+	if input[0].OfMessage == nil {
+		t.Fatal("expected EasyInputMessage")
+	}
+	if string(input[0].OfMessage.Role) != "user" {
+		t.Errorf("role = %q, want %q", input[0].OfMessage.Role, "user")
+	}
+}
+
+func TestTranslateMessages_UserWithToolCallID(t *testing.T) {
+	msgs := []protocoltypes.Message{
+		{Role: "user", Content: `{"temp":72}`, ToolCallID: "call_1"},
+	}
+	input, _ := TranslateMessages(msgs)
+	if len(input) != 1 {
+		t.Fatalf("len(input) = %d, want 1", len(input))
+	}
+	if input[0].OfFunctionCallOutput == nil {
+		t.Fatal("expected FunctionCallOutput for user with ToolCallID")
+	}
+	if input[0].OfFunctionCallOutput.CallID != "call_1" {
+		t.Errorf("CallID = %q, want %q", input[0].OfFunctionCallOutput.CallID, "call_1")
+	}
+}
+
+func TestTranslateMessages_UserWithMedia(t *testing.T) {
+	msgs := []protocoltypes.Message{
+		{Role: "user", Content: "Describe this", Media: []string{"data:image/png;base64,abc123"}},
+	}
+	input, _ := TranslateMessages(msgs)
+	if len(input) != 1 {
+		t.Fatalf("len(input) = %d, want 1", len(input))
+	}
+	if input[0].OfInputMessage == nil {
+		t.Fatal("expected InputMessage for multipart content")
+	}
+	if input[0].OfInputMessage.Role != "user" {
+		t.Errorf("role = %q, want %q", input[0].OfInputMessage.Role, "user")
+	}
+}
+
+func TestTranslateMessages_AssistantWithToolCalls(t *testing.T) {
+	msgs := []protocoltypes.Message{
+		{Role: "user", Content: "Weather?"},
+		{
+			Role:    "assistant",
+			Content: "Let me check",
+			ToolCalls: []protocoltypes.ToolCall{
+				{ID: "call_1", Name: "get_weather", Arguments: map[string]any{"city": "SF"}},
+			},
+		},
+		{Role: "tool", Content: `{"temp":72}`, ToolCallID: "call_1"},
+	}
+	input, _ := TranslateMessages(msgs)
+	// user + assistant text + function_call + tool output = 4 items
+	if len(input) != 4 {
+		t.Fatalf("len(input) = %d, want 4", len(input))
+	}
+	// item[1] = assistant text
+	if input[1].OfMessage == nil {
+		t.Fatal("expected assistant text message")
+	}
+	// item[2] = function call
+	if input[2].OfFunctionCall == nil {
+		t.Fatal("expected function call")
+	}
+	if input[2].OfFunctionCall.Name != "get_weather" {
+		t.Errorf("function name = %q, want %q", input[2].OfFunctionCall.Name, "get_weather")
+	}
+	// item[3] = tool output
+	if input[3].OfFunctionCallOutput == nil {
+		t.Fatal("expected function call output")
+	}
+}
+
+func TestTranslateMessages_AssistantWithoutToolCalls(t *testing.T) {
+	msgs := []protocoltypes.Message{
+		{Role: "assistant", Content: "Sure thing"},
+	}
+	input, _ := TranslateMessages(msgs)
+	if len(input) != 1 {
+		t.Fatalf("len(input) = %d, want 1", len(input))
+	}
+	if input[0].OfMessage == nil {
+		t.Fatal("expected EasyInputMessage for assistant without tool calls")
+	}
+}
+
+func TestTranslateMessages_ToolMessage(t *testing.T) {
+	msgs := []protocoltypes.Message{
+		{Role: "tool", Content: "result data", ToolCallID: "call_99"},
+	}
+	input, _ := TranslateMessages(msgs)
+	if len(input) != 1 {
+		t.Fatalf("len(input) = %d, want 1", len(input))
+	}
+	if input[0].OfFunctionCallOutput == nil {
+		t.Fatal("expected FunctionCallOutput")
+	}
+	if input[0].OfFunctionCallOutput.CallID != "call_99" {
+		t.Errorf("CallID = %q, want %q", input[0].OfFunctionCallOutput.CallID, "call_99")
+	}
+}
+
+// --- ResolveToolCall tests ---
+
+func TestResolveToolCall_FromNameAndArguments(t *testing.T) {
+	tc := protocoltypes.ToolCall{
+		Name:      "get_weather",
+		Arguments: map[string]any{"city": "SF"},
+	}
+	name, args, ok := ResolveToolCall(tc)
+	if !ok {
+		t.Fatal("expected ok=true")
+	}
+	if name != "get_weather" {
+		t.Errorf("name = %q, want %q", name, "get_weather")
+	}
+	if !strings.Contains(args, "SF") {
+		t.Errorf("args = %q, want to contain SF", args)
+	}
+}
+
+func TestResolveToolCall_FromFunctionField(t *testing.T) {
+	tc := protocoltypes.ToolCall{
+		ID: "call_1",
+		Function: &protocoltypes.FunctionCall{
+			Name:      "read_file",
+			Arguments: `{"path":"README.md"}`,
+		},
+	}
+	name, args, ok := ResolveToolCall(tc)
+	if !ok {
+		t.Fatal("expected ok=true")
+	}
+	if name != "read_file" {
+		t.Errorf("name = %q, want %q", name, "read_file")
+	}
+	if args != `{"path":"README.md"}` {
+		t.Errorf("args = %q, want %q", args, `{"path":"README.md"}`)
+	}
+}
+
+func TestResolveToolCall_EmptyName(t *testing.T) {
+	tc := protocoltypes.ToolCall{}
+	_, _, ok := ResolveToolCall(tc)
+	if ok {
+		t.Error("expected ok=false for empty tool call")
+	}
+}
+
+func TestResolveToolCall_NoArgsFallsBackToEmptyObject(t *testing.T) {
+	tc := protocoltypes.ToolCall{Name: "do_something"}
+	name, args, ok := ResolveToolCall(tc)
+	if !ok {
+		t.Fatal("expected ok=true")
+	}
+	if name != "do_something" {
+		t.Errorf("name = %q, want %q", name, "do_something")
+	}
+	if args != "{}" {
+		t.Errorf("args = %q, want %q", args, "{}")
+	}
+}
+
+// --- TranslateTools tests ---
+
+func TestTranslateTools_FunctionTools(t *testing.T) {
+	tools := []protocoltypes.ToolDefinition{
+		{
+			Type: "function",
+			Function: protocoltypes.ToolFunctionDefinition{
+				Name:        "get_weather",
+				Description: "Get weather",
+				Parameters:  map[string]any{"type": "object"},
+			},
+		},
+	}
+	result := TranslateTools(tools, false)
+	if len(result) != 1 {
+		t.Fatalf("len(result) = %d, want 1", len(result))
+	}
+	if result[0].OfFunction == nil {
+		t.Fatal("expected function tool")
+	}
+	if result[0].OfFunction.Name != "get_weather" {
+		t.Errorf("name = %q, want %q", result[0].OfFunction.Name, "get_weather")
+	}
+}
+
+func TestTranslateTools_SkipsNonFunction(t *testing.T) {
+	tools := []protocoltypes.ToolDefinition{
+		{Type: "not_function"},
+	}
+	result := TranslateTools(tools, false)
+	if len(result) != 0 {
+		t.Errorf("len(result) = %d, want 0", len(result))
+	}
+}
+
+func TestTranslateTools_WebSearchAppended(t *testing.T) {
+	result := TranslateTools(nil, true)
+	if len(result) != 1 {
+		t.Fatalf("len(result) = %d, want 1", len(result))
+	}
+	if result[0].OfWebSearch == nil {
+		t.Fatal("expected web_search tool")
+	}
+}
+
+func TestTranslateTools_WebSearchReplacesUserDefined(t *testing.T) {
+	tools := []protocoltypes.ToolDefinition{
+		{
+			Type: "function",
+			Function: protocoltypes.ToolFunctionDefinition{
+				Name:       "web_search",
+				Parameters: map[string]any{"type": "object"},
+			},
+		},
+		{
+			Type: "function",
+			Function: protocoltypes.ToolFunctionDefinition{
+				Name:       "read_file",
+				Parameters: map[string]any{"type": "object"},
+			},
+		},
+	}
+	result := TranslateTools(tools, true)
+	if len(result) != 2 {
+		t.Fatalf("len(result) = %d, want 2", len(result))
+	}
+	if result[0].OfFunction == nil || result[0].OfFunction.Name != "read_file" {
+		t.Errorf("first tool should be read_file, got %v", result[0])
+	}
+	if result[1].OfWebSearch == nil {
+		t.Error("second tool should be web_search")
+	}
+}
+
+func TestTranslateTools_DescriptionOmittedWhenEmpty(t *testing.T) {
+	tools := []protocoltypes.ToolDefinition{
+		{
+			Type: "function",
+			Function: protocoltypes.ToolFunctionDefinition{
+				Name:       "no_desc",
+				Parameters: map[string]any{"type": "object"},
+			},
+		},
+	}
+	result := TranslateTools(tools, false)
+	if len(result) != 1 {
+		t.Fatalf("len(result) = %d, want 1", len(result))
+	}
+	if result[0].OfFunction.Description.Valid() {
+		t.Error("Description should not be set when empty")
+	}
+}
+
+// --- ParseResponseBody tests ---
+
+func TestParseResponseBody_TextOutput(t *testing.T) {
+	body := strings.NewReader(`{
+		"id": "resp_123",
+		"object": "response",
+		"status": "completed",
+		"output": [
+			{
+				"type": "message",
+				"content": [{"type": "output_text", "text": "Hello!"}]
+			}
+		],
+		"usage": {
+			"input_tokens": 10,
+			"output_tokens": 5,
+			"total_tokens": 15,
+			"input_tokens_details": {"cached_tokens": 0},
+			"output_tokens_details": {"reasoning_tokens": 0}
+		}
+	}`)
+
+	result, err := ParseResponseBody(body)
+	if err != nil {
+		t.Fatalf("ParseResponseBody error: %v", err)
+	}
+	if result.Content != "Hello!" {
+		t.Errorf("Content = %q, want %q", result.Content, "Hello!")
+	}
+	if result.FinishReason != "stop" {
+		t.Errorf("FinishReason = %q, want %q", result.FinishReason, "stop")
+	}
+	if result.Usage.TotalTokens != 15 {
+		t.Errorf("TotalTokens = %d, want 15", result.Usage.TotalTokens)
+	}
+}
+
+func TestParseResponseBody_FunctionCall(t *testing.T) {
+	body := strings.NewReader(`{
+		"id": "resp_456",
+		"object": "response",
+		"status": "completed",
+		"output": [
+			{
+				"type": "function_call",
+				"call_id": "call_abc",
+				"name": "get_weather",
+				"arguments": "{\"city\":\"SF\"}"
+			}
+		],
+		"usage": {
+			"input_tokens": 10,
+			"output_tokens": 8,
+			"total_tokens": 18,
+			"input_tokens_details": {"cached_tokens": 0},
+			"output_tokens_details": {"reasoning_tokens": 0}
+		}
+	}`)
+
+	result, err := ParseResponseBody(body)
+	if err != nil {
+		t.Fatalf("ParseResponseBody error: %v", err)
+	}
+	if len(result.ToolCalls) != 1 {
+		t.Fatalf("len(ToolCalls) = %d, want 1", len(result.ToolCalls))
+	}
+	if result.ToolCalls[0].Name != "get_weather" {
+		t.Errorf("Name = %q, want %q", result.ToolCalls[0].Name, "get_weather")
+	}
+	if result.ToolCalls[0].ID != "call_abc" {
+		t.Errorf("ID = %q, want %q", result.ToolCalls[0].ID, "call_abc")
+	}
+	if result.FinishReason != "tool_calls" {
+		t.Errorf("FinishReason = %q, want %q", result.FinishReason, "tool_calls")
+	}
+}
+
+func TestParseResponseBody_Reasoning(t *testing.T) {
+	body := strings.NewReader(`{
+		"id": "resp_789",
+		"object": "response",
+		"status": "completed",
+		"output": [
+			{
+				"type": "reasoning",
+				"id": "rs_1",
+				"summary": [{"type": "summary_text", "text": "Thinking about it..."}]
+			},
+			{
+				"type": "message",
+				"content": [{"type": "output_text", "text": "The answer is 42."}]
+			}
+		],
+		"usage": {
+			"input_tokens": 10,
+			"output_tokens": 20,
+			"total_tokens": 30,
+			"input_tokens_details": {"cached_tokens": 0},
+			"output_tokens_details": {"reasoning_tokens": 10}
+		}
+	}`)
+
+	result, err := ParseResponseBody(body)
+	if err != nil {
+		t.Fatalf("ParseResponseBody error: %v", err)
+	}
+	if result.Content != "The answer is 42." {
+		t.Errorf("Content = %q, want %q", result.Content, "The answer is 42.")
+	}
+	if result.ReasoningContent != "Thinking about it..." {
+		t.Errorf("ReasoningContent = %q, want %q", result.ReasoningContent, "Thinking about it...")
+	}
+}
+
+func TestParseResponseBody_Refusal(t *testing.T) {
+	body := strings.NewReader(`{
+		"id": "resp_ref",
+		"object": "response",
+		"status": "completed",
+		"output": [
+			{
+				"type": "message",
+				"content": [{"type": "refusal", "refusal": "I cannot help with that."}]
+			}
+		],
+		"usage": {
+			"input_tokens": 5,
+			"output_tokens": 5,
+			"total_tokens": 10,
+			"input_tokens_details": {"cached_tokens": 0},
+			"output_tokens_details": {"reasoning_tokens": 0}
+		}
+	}`)
+
+	result, err := ParseResponseBody(body)
+	if err != nil {
+		t.Fatalf("ParseResponseBody error: %v", err)
+	}
+	if result.Content != "I cannot help with that." {
+		t.Errorf("Content = %q, want %q", result.Content, "I cannot help with that.")
+	}
+}
+
+func TestParseResponseBody_IncompleteStatus(t *testing.T) {
+	body := strings.NewReader(`{
+		"id": "resp_inc",
+		"object": "response",
+		"status": "incomplete",
+		"output": [
+			{
+				"type": "message",
+				"content": [{"type": "output_text", "text": "partial"}]
+			}
+		],
+		"usage": {"input_tokens": 5, "output_tokens": 2, "total_tokens": 7,
+			"input_tokens_details": {"cached_tokens": 0},
+			"output_tokens_details": {"reasoning_tokens": 0}}
+	}`)
+
+	result, err := ParseResponseBody(body)
+	if err != nil {
+		t.Fatalf("error: %v", err)
+	}
+	if result.FinishReason != "length" {
+		t.Errorf("FinishReason = %q, want %q", result.FinishReason, "length")
+	}
+}
+
+func TestParseResponseBody_FailedStatus(t *testing.T) {
+	body := strings.NewReader(`{
+		"id": "resp_fail",
+		"object": "response",
+		"status": "failed",
+		"output": [],
+		"usage": {"input_tokens": 0, "output_tokens": 0, "total_tokens": 0,
+			"input_tokens_details": {"cached_tokens": 0},
+			"output_tokens_details": {"reasoning_tokens": 0}}
+	}`)
+
+	result, err := ParseResponseBody(body)
+	if err != nil {
+		t.Fatalf("error: %v", err)
+	}
+	// failed/canceled statuses are not specially mapped; they fall through to "stop"
+	if result.FinishReason != "stop" {
+		t.Errorf("FinishReason = %q, want %q", result.FinishReason, "stop")
+	}
+}
+
+// --- ParseDataAudioURL tests ---
+
+func TestParseDataAudioURL_Valid(t *testing.T) {
+	format, data, ok := ParseDataAudioURL("data:audio/mp3;base64,SGVsbG8=")
+	if !ok {
+		t.Fatal("expected ok=true")
+	}
+	if format != "mp3" {
+		t.Errorf("format = %q, want %q", format, "mp3")
+	}
+	if data != "SGVsbG8=" {
+		t.Errorf("data = %q, want %q", data, "SGVsbG8=")
+	}
+}
+
+func TestParseDataAudioURL_NotAudio(t *testing.T) {
+	_, _, ok := ParseDataAudioURL("data:image/png;base64,abc")
+	if ok {
+		t.Error("expected ok=false for non-audio URL")
+	}
+}
+
+func TestParseDataAudioURL_MalformedNoComma(t *testing.T) {
+	_, _, ok := ParseDataAudioURL("data:audio/mp3;base64")
+	if ok {
+		t.Error("expected ok=false for malformed URL")
+	}
+}
+
+func TestParseDataAudioURL_EmptyData(t *testing.T) {
+	_, _, ok := ParseDataAudioURL("data:audio/mp3;base64,")
+	if ok {
+		t.Error("expected ok=false for empty data")
+	}
+}
+
+// --- BuildMultipartContent tests ---
+
+func TestBuildMultipartContent_TextOnly(t *testing.T) {
+	parts := BuildMultipartContent("hello", nil)
+	if len(parts) != 1 {
+		t.Fatalf("len(parts) = %d, want 1", len(parts))
+	}
+	if parts[0].OfInputText == nil {
+		t.Fatal("expected text part")
+	}
+}
+
+func TestBuildMultipartContent_TextAndImage(t *testing.T) {
+	parts := BuildMultipartContent("describe", []string{"data:image/png;base64,abc"})
+	if len(parts) != 2 {
+		t.Fatalf("len(parts) = %d, want 2", len(parts))
+	}
+	if parts[0].OfInputText == nil {
+		t.Error("first part should be text")
+	}
+	if parts[1].OfInputImage == nil {
+		t.Error("second part should be image")
+	}
+}
+
+func TestBuildMultipartContent_AudioFile(t *testing.T) {
+	parts := BuildMultipartContent("", []string{"data:audio/wav;base64,AAAA"})
+	if len(parts) != 1 {
+		t.Fatalf("len(parts) = %d, want 1", len(parts))
+	}
+	if parts[0].OfInputFile == nil {
+		t.Fatal("expected file part for audio")
+	}
+}
+
+func TestBuildMultipartContent_EmptyTextSkipped(t *testing.T) {
+	parts := BuildMultipartContent("", []string{"data:image/png;base64,abc"})
+	if len(parts) != 1 {
+		t.Fatalf("len(parts) = %d, want 1", len(parts))
+	}
+	if parts[0].OfInputImage == nil {
+		t.Error("should only have image part")
+	}
+}
+
+// --- JSON serialization sanity checks ---
+
+func TestTranslateTools_SerializesToJSON(t *testing.T) {
+	tools := []protocoltypes.ToolDefinition{
+		{
+			Type: "function",
+			Function: protocoltypes.ToolFunctionDefinition{
+				Name:        "test_tool",
+				Description: "A test",
+				Parameters:  map[string]any{"type": "object"},
+			},
+		},
+	}
+	result := TranslateTools(tools, true)
+	data, err := json.Marshal(result)
+	if err != nil {
+		t.Fatalf("json.Marshal error: %v", err)
+	}
+	s := string(data)
+	if !strings.Contains(s, "test_tool") {
+		t.Errorf("JSON should contain test_tool, got: %s", s)
+	}
+	if !strings.Contains(s, "web_search") {
+		t.Errorf("JSON should contain web_search, got: %s", s)
+	}
+}