Upload 46 files

openai_compat.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+OpenAI Chat Completions compatible server (system-prompt flavored)
+
+Startup entrypoint that exposes the modular app implemented in protobuf2openai.
+"""
+
+from __future__ import annotations
+
+import os
+import asyncio
+
+from protobuf2openai.app import app  # FastAPI app
+
+
+if __name__ == "__main__":
+    import uvicorn
+    # Refresh JWT on startup before running the server
+    try:
+        from warp2protobuf.core.auth import refresh_jwt_if_needed as _refresh_jwt
+        asyncio.run(_refresh_jwt())
+    except Exception:
+        pass
+    uvicorn.run(
+        app,
+        host=os.getenv("HOST", "127.0.0.1"),
+        port=int(os.getenv("PORT", "8010")),
+        log_level="info",
+    )

proto/attachment.proto

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+syntax = "proto3";
+
+package warp.multi_agent.v1;
+
+import "options.proto";
+
+option go_package = "github.com/warp/warp-proto-apis/multi_agent/v1";
+
+message Attachment {
+    oneof value {
+        string plain_text = 1;
+        ExecutedShellCommand executed_shell_command = 2;
+        RunningShellCommand running_shell_command = 3;
+        DriveObject drive_object = 4;
+    }
+}
+
+message ExecutedShellCommand {
+    string command = 1;
+    string output = 2;
+    int32 exit_code = 3;
+}
+
+message RunningShellCommand {
+    string command = 1;
+    LongRunningShellCommandSnapshot snapshot = 2;
+}
+
+message LongRunningShellCommandSnapshot {
+    string output = 1;
+}
+
+message DriveObject {
+    string uid = 1;
+    
+    oneof object_payload {
+        Workflow workflow = 2;
+        Notebook notebook = 3;
+        GenericStringObject generic_string_object = 4;
+    }
+}
+
+message Workflow {
+    string name = 1;
+    string description = 2;
+    string command = 3;
+}
+
+message Notebook {
+    string title = 1;
+    string content = 2;
+}
+
+message GenericStringObject {
+    string payload = 1;
+    string object_type = 2;
+}

proto/citations.proto

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+syntax = "proto3";
+
+package warp.multi_agent.v1;
+
+option go_package = "github.com/warp/warp-proto-apis/multi_agent/v1";
+
+message Citation {
+    string document_id = 1;
+    DocumentType document_type = 2;
+}
+
+enum DocumentType {
+    WARP_DRIVE_WORKFLOW = 0;
+    WARP_DRIVE_NOTEBOOK = 1;
+    WARP_DRIVE_ENV_VAR = 2;
+    RULE = 3;
+    WARP_DOCUMENTATION = 4;
+    WEB_PAGE = 5;
+    UNKNOWN = 6;
+}

proto/debug.proto

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+syntax = "proto3";
+
+package warp.multi_agent.v1;
+
+import "task.proto";
+
+option go_package = "github.com/warp/warp-proto-apis/multi_agent/v1";
+
+message TaskList {
+    repeated Task tasks = 1;
+    repeated string ordered_message_ids = 2;
+}

proto/file_content.proto

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+syntax = "proto3";
+
+package warp.multi_agent.v1;
+
+import "options.proto";
+
+option go_package = "github.com/warp/warp-proto-apis/multi_agent/v1";
+
+message FileContentLineRange {
+    uint32 start = 1;
+    uint32 end = 2;
+}
+
+message FileContent {
+    string file_path = 1;
+    string content = 2;
+    FileContentLineRange line_range = 3;
+}

proto/input_context.proto

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+syntax = "proto3";
+
+package warp.multi_agent.v1;
+
+import "google/protobuf/timestamp.proto";
+import "file_content.proto";
+import "attachment.proto";
+import "options.proto";
+
+option go_package = "github.com/warp/warp-proto-apis/multi_agent/v1";
+
+message InputContext {
+    Directory directory = 1;
+    message Directory {
+        string pwd = 1;
+        string home = 2;
+        bool pwd_file_symbols_indexed = 3;
+    }
+    
+    OperatingSystem operating_system = 2;
+    message OperatingSystem {
+        string platform = 1;
+        string distribution = 2;
+    }
+    
+    Shell shell = 3;
+    message Shell {
+        string name = 1;
+        string version = 2;
+    }
+    
+    google.protobuf.Timestamp current_time = 4;
+    
+    repeated Codebase codebases = 8;
+    message Codebase {
+        string name = 1;
+        string path = 2;
+    }
+    
+    repeated ProjectRules project_rules = 10;
+    message ProjectRules {
+        string root_path = 1;
+        repeated FileContent active_rule_files = 2;
+        repeated string additional_rule_file_paths = 3;
+    }
+    
+    repeated ExecutedShellCommand executed_shell_commands = 5 [deprecated = true];
+    
+    repeated SelectedText selected_text = 6;
+    message SelectedText {
+        string text = 1;
+    }
+    
+    repeated Image images = 7;
+    message Image {
+        bytes data = 1;
+        string mime_type = 2;
+    }
+    
+    repeated File files = 9;
+    message File {
+        FileContent content = 1;
+    }
+}

proto/options.proto

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+syntax = "proto3";
+
+package warp.multi_agent.v1;
+
+import "google/protobuf/descriptor.proto";
+
+option go_package = "github.com/warp/warp-proto-apis/multi_agent/v1";
+
+extend google.protobuf.FieldOptions {
+    bool sensitive = 50000;
+    bool internal = 50001;
+}

proto/request.proto

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+syntax = "proto3";
+
+package warp.multi_agent.v1;
+
+import "google/protobuf/struct.proto";
+import "input_context.proto";
+import "attachment.proto";
+import "options.proto";
+import "suggestions.proto";
+import "task.proto";
+
+option go_package = "github.com/warp/warp-proto-apis/multi_agent/v1";
+
+message Request {
+    TaskContext task_context = 1;
+    message TaskContext {
+        repeated Task tasks = 1;
+        string active_task_id = 2;
+    }
+    
+    Input input = 2;
+    message Input {
+        InputContext context = 1;
+        
+        oneof type {
+            UserInputs user_inputs = 6;
+            QueryWithCannedResponse query_with_canned_response = 4;
+            AutoCodeDiffQuery auto_code_diff_query = 5;
+            ResumeConversation resume_conversation = 7;
+            InitProjectRules init_project_rules = 8;
+            UserQuery user_query = 2 [deprecated = true];
+            ToolCallResult tool_call_result = 3 [deprecated = true];
+        }
+        
+        message UserQuery {
+            string query = 1;
+            map<string, Attachment> referenced_attachments = 2;
+        }
+        
+        message UserInputs {
+            repeated UserInput inputs = 1;
+            message UserInput {
+                oneof input {
+                    UserQuery user_query = 1;
+                    ToolCallResult tool_call_result = 2;
+                }
+            }
+        }
+        
+        message ToolCallResult {
+            string tool_call_id = 1;
+            
+            oneof result {
+                RunShellCommandResult run_shell_command = 2;
+                ReadFilesResult read_files = 3;
+                SearchCodebaseResult search_codebase = 4;
+                ApplyFileDiffsResult apply_file_diffs = 5;
+                SuggestPlanResult suggest_plan = 6;
+                SuggestCreatePlanResult suggest_create_plan = 7;
+                GrepResult grep = 8;
+                FileGlobResult file_glob = 9;
+                RefineResult refine = 10;
+                ReadMCPResourceResult read_mcp_resource = 11;
+                CallMCPToolResult call_mcp_tool = 12;
+                WriteToLongRunningShellCommandResult write_to_long_running_shell_command = 13;
+                SuggestNewConversationResult suggest_new_conversation = 14;
+                FileGlobV2Result file_glob_v2 = 15;
+            }
+            
+            message RefineResult {
+                UserQuery user_query = 1;
+            }
+        }
+        
+        message QueryWithCannedResponse {
+            string query = 1;
+            
+            oneof type {
+                Install install = 2;
+                Code code = 3;
+                Deploy deploy = 4;
+                SomethingElse something_else = 5;
+                CustomOnboardingRequest custom_onboarding_request = 6;
+                AgenticOnboardingKickoff agentic_onboarding_kickoff = 7;
+            }
+            
+            message Install {
+                
+            }
+            
+            message Code {
+                
+            }
+            
+            message Deploy {
+                
+            }
+            
+            message SomethingElse {
+                
+            }
+            
+            message CustomOnboardingRequest {
+                
+            }
+            
+            message AgenticOnboardingKickoff {
+                
+            }
+        }
+        
+        message AutoCodeDiffQuery {
+            string query = 1;
+        }
+        
+        message ResumeConversation {
+            
+        }
+        
+        message InitProjectRules {
+            
+        }
+    }
+    
+    Settings settings = 3;
+    message Settings {
+        ModelConfig model_config = 1;
+        message ModelConfig {
+            string base = 1;
+            string planning = 2;
+            string coding = 3;
+        }
+        
+        bool rules_enabled = 2;
+        bool web_context_retrieval_enabled = 3;
+        bool supports_parallel_tool_calls = 4;
+        bool use_anthropic_text_editor_tools = 5;
+        bool planning_enabled = 6;
+        bool warp_drive_context_enabled = 7;
+        bool supports_create_files = 8;
+        repeated ToolType supported_tools = 9;
+        bool supports_long_running_commands = 10;
+        bool should_preserve_file_content_in_history = 11;
+        bool supports_todos_ui = 12;
+        bool supports_linked_code_blocks = 13;
+    }
+    
+    Metadata metadata = 4;
+    message Metadata {
+        string conversation_id = 1;
+        map<string, google.protobuf.Value> logging = 2;
+    }
+    
+    Suggestions existing_suggestions = 5;
+    
+    MCPContext mcp_context = 6;
+    message MCPContext {
+        repeated MCPResource resources = 1;
+        message MCPResource {
+            string uri = 1;
+            string name = 2;
+            string description = 3;
+            string mime_type = 4;
+        }
+        
+        repeated MCPTool tools = 2;
+        message MCPTool {
+            string name = 1;
+            string description = 2;
+            google.protobuf.Struct input_schema = 3;
+        }
+    }
+}

proto/response.proto

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+syntax = "proto3";
+
+package warp.multi_agent.v1;
+
+import "google/protobuf/field_mask.proto";
+import "options.proto";
+import "suggestions.proto";
+import "task.proto";
+
+option go_package = "github.com/warp/warp-proto-apis/multi_agent/v1";
+
+message ResponseEvent {
+    oneof type {
+        StreamInit init = 1;
+        ClientActions client_actions = 2;
+        StreamFinished finished = 3;
+    }
+    
+    message StreamInit {
+        string conversation_id = 1;
+        string request_id = 2;
+    }
+    
+    message ClientActions {
+        repeated ClientAction actions = 1;
+    }
+    
+    message StreamFinished {
+        repeated TokenUsage token_usage = 8;
+        message TokenUsage {
+            string model_id = 1;
+            uint32 total_input = 2;
+            uint32 output = 3;
+            uint32 input_cache_read = 4;
+            uint32 input_cache_write = 5;
+            float cost_in_cents = 6;
+        }
+        
+        bool should_refresh_model_config = 9;
+        
+        RequestCost request_cost = 10;
+        message RequestCost {
+            float exact = 1;
+        }
+        
+        ContextWindowInfo context_window_info = 11;
+        message ContextWindowInfo {
+            float context_window_usage = 1;
+            bool summarized = 2;
+        }
+        
+        oneof reason {
+            Other other = 1;
+            Done done = 2;
+            ReachedMaxTokenLimit max_token_limit = 3;
+            QuotaLimit quota_limit = 4;
+            ContextWindowExceeded context_window_exceeded = 5;
+            LLMUnavailable llm_unavailable = 6;
+            InternalError internal_error = 7;
+        }
+        
+        message Other {
+            
+        }
+        
+        message Done {
+            
+        }
+        
+        message ReachedMaxTokenLimit {
+            
+        }
+        
+        message QuotaLimit {
+            
+        }
+        
+        message ContextWindowExceeded {
+            
+        }
+        
+        message LLMUnavailable {
+            
+        }
+        
+        message InternalError {
+            string message = 1;
+        }
+    }
+}
+
+message ClientAction {
+    oneof action {
+        CreateTask create_task = 1;
+        UpdateTaskStatus update_task_status = 2;
+        AddMessagesToTask add_messages_to_task = 3;
+        UpdateTaskMessage update_task_message = 4;
+        AppendToMessageContent append_to_message_content = 5;
+        Suggestions show_suggestions = 6;
+        UpdateTaskSummary update_task_summary = 7;
+        UpdateTaskDescription update_task_description = 8;
+        BeginTransaction begin_transaction = 9;
+        CommitTransaction commit_transaction = 10;
+        RollbackTransaction rollback_transaction = 11;
+        StartNewConversation start_new_conversation = 12;
+    }
+    
+    message CreateTask {
+        Task task = 1;
+    }
+    
+    message UpdateTaskStatus {
+        string task_id = 1;
+        TaskStatus task_status = 2;
+    }
+    
+    message UpdateTaskDescription {
+        string task_id = 1;
+        string description = 2;
+    }
+    
+    message AddMessagesToTask {
+        string task_id = 1;
+        repeated Message messages = 2;
+    }
+    
+    message UpdateTaskMessage {
+        string task_id = 3;
+        Message message = 1;
+        google.protobuf.FieldMask mask = 2;
+    }
+    
+    message AppendToMessageContent {
+        string task_id = 3;
+        Message message = 1;
+        google.protobuf.FieldMask mask = 2;
+    }
+    
+    message UpdateTaskSummary {
+        string task_id = 1;
+        string summary = 2;
+    }
+    
+    message BeginTransaction {
+        
+    }
+    
+    message CommitTransaction {
+        
+    }
+    
+    message RollbackTransaction {
+        
+    }
+    
+    message StartNewConversation {
+        string start_from_message_id = 1;
+    }
+}

proto/suggestions.proto

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+syntax = "proto3";
+
+package warp.multi_agent.v1;
+
+option go_package = "github.com/warp/warp-proto-apis/multi_agent/v1";
+
+message Suggestions {
+    repeated SuggestedRule rules = 1;
+    repeated SuggestedAgentModeWorkflow workflows = 2;
+}
+
+message SuggestedRule {
+    string name = 1;
+    string content = 2;
+    string logging_id = 3;
+}
+
+message SuggestedAgentModeWorkflow {
+    string name = 1;
+    string prompt = 2;
+    string logging_id = 3;
+}

proto/task.proto

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+syntax = "proto3";
+
+package warp.multi_agent.v1;
+
+import "google/protobuf/empty.proto";
+import "google/protobuf/descriptor.proto";
+import "google/protobuf/struct.proto";
+import "citations.proto";
+import "input_context.proto";
+import "attachment.proto";
+import "file_content.proto";
+import "options.proto";
+import "todo.proto";
+
+option go_package = "github.com/warp/warp-proto-apis/multi_agent/v1";
+
+message Task {
+    string id = 1;
+    string description = 2;
+    
+    Dependencies dependencies = 3;
+    message Dependencies {
+        string parent_task_id = 1;
+        repeated string sibling_dependencies = 2;
+    }
+    
+    TaskStatus status = 4;
+    repeated Message messages = 5;
+    string summary = 6;
+}
+
+message TaskStatus {
+    oneof status {
+        Pending pending = 1;
+        InProgress in_progress = 2;
+        Blocked blocked = 3;
+        Succeeded succeeded = 4;
+        Failed failed = 5;
+        Aborted aborted = 6;
+    }
+    
+    message Pending {
+        
+    }
+    
+    message InProgress {
+        
+    }
+    
+    message Blocked {
+        
+    }
+    
+    message Succeeded {
+        
+    }
+    
+    message Failed {
+        
+    }
+    
+    message Aborted {
+        
+    }
+}
+
+message Message {
+    string id = 1;
+    string task_id = 11;
+    string server_message_data = 7;
+    repeated Citation citations = 8;
+    
+    oneof message {
+        UserQuery user_query = 2;
+        AgentOutput agent_output = 3;
+        ToolCall tool_call = 4;
+        ToolCallResult tool_call_result = 5;
+        ServerEvent server_event = 6;
+        SystemQuery system_query = 9;
+        UpdateTodos update_todos = 10;
+    }
+    
+    message UserQuery {
+        string query = 1;
+        InputContext context = 2;
+        map<string, Attachment> referenced_attachments = 3;
+    }
+    
+    message SystemQuery {
+        InputContext context = 2;
+        
+        oneof type {
+            AutoCodeDiff auto_code_diff = 1;
+            ResumeConversation resume_conversation = 3;
+        }
+    }
+    
+    message AutoCodeDiff {
+        string query = 1;
+    }
+    
+    message ResumeConversation {
+        
+    }
+    
+    message AgentOutput {
+        string text = 1;
+        string reasoning = 2;
+    }
+    
+    message ToolCall {
+        string tool_call_id = 1;
+        
+        oneof tool {
+            RunShellCommand run_shell_command = 2;
+            SearchCodebase search_codebase = 3;
+            Server server = 4;
+            ReadFiles read_files = 5;
+            ApplyFileDiffs apply_file_diffs = 6;
+            SuggestPlan suggest_plan = 7;
+            SuggestCreatePlan suggest_create_plan = 8;
+            Grep grep = 9;
+            FileGlob file_glob = 10 [deprecated = true];
+            ReadMCPResource read_mcp_resource = 11;
+            CallMCPTool call_mcp_tool = 12;
+            WriteToLongRunningShellCommand write_to_long_running_shell_command = 13;
+            SuggestNewConversation suggest_new_conversation = 14;
+            FileGlobV2 file_glob_v2 = 15;
+        }
+        
+        message Server {
+            string payload = 1;
+        }
+        
+        message RunShellCommand {
+            string command = 1;
+            bool is_read_only = 2;
+            bool uses_pager = 3;
+            repeated Citation citations = 4;
+            bool is_risky = 5;
+        }
+        
+        message WriteToLongRunningShellCommand {
+            bytes input = 1;
+        }
+        
+        message SuggestNewConversation {
+            string message_id = 1;
+        }
+        
+        message ReadFiles {
+            repeated File files = 1;
+            message File {
+                string name = 1;
+                repeated FileContentLineRange line_ranges = 2;
+            }
+        }
+        
+        message SearchCodebase {
+            string query = 1;
+            repeated string path_filters = 2;
+            string codebase_path = 3;
+        }
+        
+        message ApplyFileDiffs {
+            string summary = 1;
+            
+            repeated FileDiff diffs = 2;
+            message FileDiff {
+                string file_path = 1;
+                string search = 2;
+                string replace = 3;
+            }
+            
+            repeated NewFile new_files = 3;
+            message NewFile {
+                string file_path = 1;
+                string content = 2;
+            }
+        }
+        
+        message SuggestPlan {
+            string summary = 1;
+            repeated Task proposed_tasks = 2;
+        }
+        
+        message SuggestCreatePlan {
+            
+        }
+        
+        message Grep {
+            repeated string queries = 1;
+            string path = 2;
+        }
+        
+        message FileGlob {
+            repeated string patterns = 1;
+            string path = 2;
+        }
+        
+        message FileGlobV2 {
+            repeated string patterns = 1;
+            string search_dir = 2;
+            int32 max_matches = 3;
+            int32 max_depth = 4;
+            int32 min_depth = 5;
+        }
+        
+        message ReadMCPResource {
+            string uri = 1;
+        }
+        
+        message CallMCPTool {
+            string name = 1;
+            google.protobuf.Struct args = 2;
+        }
+    }
+    
+    message ToolCallResult {
+        string tool_call_id = 1;
+        InputContext context = 11;
+        
+        oneof result {
+            RunShellCommandResult run_shell_command = 2;
+            SearchCodebaseResult search_codebase = 3;
+            ServerResult server = 4;
+            ReadFilesResult read_files = 5;
+            ApplyFileDiffsResult apply_file_diffs = 6;
+            SuggestPlanResult suggest_plan = 7;
+            SuggestCreatePlanResult suggest_create_plan = 8;
+            GrepResult grep = 9;
+            FileGlobResult file_glob = 10 [deprecated = true];
+            RefineResult refine = 13;
+            google.protobuf.Empty cancel = 14;
+            ReadMCPResourceResult read_mcp_resource = 15;
+            CallMCPToolResult call_mcp_tool = 16;
+            WriteToLongRunningShellCommandResult write_to_long_running_shell_command = 17;
+            SuggestNewConversationResult suggest_new_conversation = 18;
+            FileGlobV2Result file_glob_v2 = 19;
+        }
+        
+        message ServerResult {
+            string serialized_result = 1;
+        }
+        
+        message RefineResult {
+            UserQuery user_query = 1;
+        }
+    }
+    
+    message ServerEvent {
+        string payload = 1;
+    }
+    
+    message UpdateTodos {
+        oneof operation {
+            CreateTodoList create_todo_list = 1;
+            UpdatePendingTodos update_pending_todos = 2;
+            MarkTodosCompleted mark_todos_completed = 3;
+        }
+    }
+}
+
+message RunShellCommandResult {
+    string command = 3;
+    string output = 1 [deprecated = true];
+    int32 exit_code = 2 [deprecated = true];
+    
+    oneof result {
+        LongRunningShellCommandSnapshot long_running_command_snapshot = 4;
+        ShellCommandFinished command_finished = 5;
+    }
+}
+
+message ReadFilesResult {
+    oneof result {
+        Success success = 1;
+        Error error = 2;
+    }
+    
+    message Success {
+        repeated FileContent files = 1;
+    }
+    
+    message Error {
+        string message = 1;
+    }
+}
+
+message SearchCodebaseResult {
+    oneof result {
+        Success success = 1;
+        Error error = 2;
+    }
+    
+    message Success {
+        repeated FileContent files = 1;
+    }
+    
+    message Error {
+        string message = 1;
+    }
+}
+
+message ApplyFileDiffsResult {
+    oneof result {
+        Success success = 1;
+        Error error = 2;
+    }
+    
+    message Success {
+        repeated FileContent updated_files = 1 [deprecated = true];
+        
+        repeated UpdatedFileContent updated_files_v2 = 2;
+        message UpdatedFileContent {
+            FileContent file = 1;
+            bool was_edited_by_user = 2;
+        }
+    }
+    
+    message Error {
+        string message = 1;
+    }
+}
+
+message SuggestCreatePlanResult {
+    bool accepted = 1;
+}
+
+message SuggestPlanResult {
+    oneof result {
+        google.protobuf.Empty accepted = 1;
+        UserEditedPlan user_edited_plan = 2;
+    }
+    
+    message UserEditedPlan {
+        string plan_text = 1;
+    }
+}
+
+message GrepResult {
+    oneof result {
+        Success success = 1;
+        Error error = 2;
+    }
+    
+    message Success {
+        repeated GrepFileMatch matched_files = 1;
+        message GrepFileMatch {
+            string file_path = 1;
+            
+            repeated GrepLineMatch matched_lines = 2;
+            message GrepLineMatch {
+                uint32 line_number = 1;
+            }
+        }
+    }
+    
+    message Error {
+        string message = 1;
+    }
+}
+
+message FileGlobResult {
+    oneof result {
+        Success success = 1;
+        Error error = 2;
+    }
+    
+    message Success {
+        string matched_files = 1;
+    }
+    
+    message Error {
+        string message = 1;
+    }
+}
+
+message FileGlobV2Result {
+    oneof result {
+        Success success = 1;
+        Error error = 2;
+    }
+    
+    message Success {
+        repeated FileGlobMatch matched_files = 1;
+        message FileGlobMatch {
+            string file_path = 1;
+        }
+    }
+    
+    message Error {
+        string message = 1;
+    }
+}
+
+message MCPResourceContent {
+    string uri = 1;
+    
+    oneof content_type {
+        Text text = 2;
+        Binary binary = 3;
+    }
+    
+    message Text {
+        string content = 1;
+        string mime_type = 2;
+    }
+    
+    message Binary {
+        bytes data = 1;
+        string mime_type = 2;
+    }
+}
+
+message ReadMCPResourceResult {
+    oneof result {
+        Success success = 1;
+        Error error = 2;
+    }
+    
+    message Success {
+        repeated MCPResourceContent contents = 1;
+    }
+    
+    message Error {
+        string message = 1;
+    }
+}
+
+message WriteToLongRunningShellCommandResult {
+    oneof result {
+        LongRunningShellCommandSnapshot long_running_command_snapshot = 1;
+        ShellCommandFinished command_finished = 2;
+    }
+}
+
+message SuggestNewConversationResult {
+    oneof result {
+        Accepted accepted = 1;
+        Rejected rejected = 2;
+    }
+    
+    message Accepted {
+        string message_id = 1;
+    }
+    
+    message Rejected {
+        
+    }
+}
+
+message ShellCommandFinished {
+    string output = 1;
+    int32 exit_code = 2;
+}
+
+message CallMCPToolResult {
+    oneof result {
+        Success success = 1;
+        Error error = 2;
+    }
+    
+    message Success {
+        repeated Result results = 1;
+        message Result {
+            oneof result {
+                Text text = 1;
+                Image image = 2;
+                MCPResourceContent resource = 3;
+            }
+            
+            message Text {
+                string text = 1;
+            }
+            
+            message Image {
+                bytes data = 1;
+                string mime_type = 2;
+            }
+        }
+    }
+    
+    message Error {
+        string message = 1;
+    }
+}
+
+enum ToolType {
+    RUN_SHELL_COMMAND = 0;
+    SEARCH_CODEBASE = 1;
+    READ_FILES = 2;
+    APPLY_FILE_DIFFS = 3;
+    SUGGEST_PLAN = 4;
+    SUGGEST_CREATE_PLAN = 5;
+    GREP = 6;
+    FILE_GLOB = 7;
+    READ_MCP_RESOURCE = 8;
+    CALL_MCP_TOOL = 9;
+    WRITE_TO_LONG_RUNNING_SHELL_COMMAND = 10;
+    SUGGEST_NEW_CONVERSATION = 11;
+    FILE_GLOB_V2 = 12;
+}

proto/todo.proto

@@ -0,0 +1,23 @@
+syntax = "proto3";
+
+package warp.multi_agent.v1;
+
+option go_package = "github.com/warp/warp-proto-apis/multi_agent/v1";
+
+message TodoItem {
+    string id = 1;
+    string title = 2;
+    string description = 3;
+}
+
+message CreateTodoList {
+    repeated TodoItem initial_todos = 1;
+}
+
+message UpdatePendingTodos {
+    repeated TodoItem updated_pending_todos = 1;
+}
+
+message MarkTodosCompleted {
+    repeated string todo_ids = 1;
+}

protobuf2openai/__init__.py

@@ -0,0 +1,3 @@
+# Package for converting between Warp protobuf JSON and OpenAI Chat Completions API
+
+__all__ = [] 

protobuf2openai/app.py

@@ -0,0 +1,49 @@
+from __future__ import annotations
+
+import asyncio
+import json
+
+import httpx
+from fastapi import FastAPI
+
+from .logging import logger
+
+from .config import BRIDGE_BASE_URL, WARMUP_INIT_RETRIES, WARMUP_INIT_DELAY_S
+from .bridge import initialize_once
+from .router import router
+
+
+app = FastAPI(title="OpenAI Chat Completions (Warp bridge) - Streaming")
+app.include_router(router)
+
+
+@app.on_event("startup")
+async def _on_startup():
+    try:
+        logger.info("[OpenAI Compat] Server starting. BRIDGE_BASE_URL=%s", BRIDGE_BASE_URL)
+        logger.info("[OpenAI Compat] Endpoints: GET /healthz, GET /v1/models, POST /v1/chat/completions")
+    except Exception:
+        pass
+
+    url = f"{BRIDGE_BASE_URL}/healthz"
+    retries = WARMUP_INIT_RETRIES
+    delay_s = WARMUP_INIT_DELAY_S
+    for attempt in range(1, retries + 1):
+        try:
+            async with httpx.AsyncClient(timeout=5.0, trust_env=True) as client:
+                resp = await client.get(url)
+            if resp.status_code == 200:
+                logger.info("[OpenAI Compat] Bridge server is ready at %s", url)
+                break
+            else:
+                logger.warning("[OpenAI Compat] Bridge health at %s -> HTTP %s", url, resp.status_code)
+        except Exception as e:
+            logger.warning("[OpenAI Compat] Bridge health attempt %s/%s failed: %s", attempt, retries, e)
+        await asyncio.sleep(delay_s)
+    else:
+        logger.error("[OpenAI Compat] Bridge server not ready at %s", url)
+
+    try:
+        await asyncio.to_thread(initialize_once)
+    except Exception as e:
+        logger.warning(f"[OpenAI Compat] Warmup initialize_once on startup failed: {e}") 

protobuf2openai/bridge.py

@@ -0,0 +1,105 @@
+from __future__ import annotations
+
+import json
+import time
+import uuid
+from typing import Any, Dict, Optional
+
+import requests
+from .logging import logger
+
+from .config import (
+    BRIDGE_BASE_URL,
+    FALLBACK_BRIDGE_URLS,
+    WARMUP_INIT_RETRIES,
+    WARMUP_INIT_DELAY_S,
+    WARMUP_REQUEST_RETRIES,
+    WARMUP_REQUEST_DELAY_S,
+)
+from .packets import packet_template
+from .state import STATE, ensure_tool_ids
+
+
+def bridge_send_stream(packet: Dict[str, Any]) -> Dict[str, Any]:
+    last_exc: Optional[Exception] = None
+    for base in FALLBACK_BRIDGE_URLS:
+        url = f"{base}/api/warp/send_stream"
+        try:
+            wrapped_packet = {"json_data": packet, "message_type": "warp.multi_agent.v1.Request"}
+            try:
+                logger.info("[OpenAI Compat] Bridge request URL: %s", url)
+                logger.info("[OpenAI Compat] Bridge request payload: %s", json.dumps(wrapped_packet, ensure_ascii=False))
+            except Exception:
+                logger.info("[OpenAI Compat] Bridge request payload serialization failed for URL %s", url)
+            r = requests.post(url, json=wrapped_packet, timeout=(5.0, 180.0))
+            if r.status_code == 200:
+                try:
+                    logger.info("[OpenAI Compat] Bridge response (raw text): %s", r.text)
+                except Exception:
+                    pass
+                return r.json()
+            else:
+                txt = r.text
+                last_exc = Exception(f"bridge_error: HTTP {r.status_code} {txt}")
+        except Exception as e:
+            last_exc = e
+            continue
+    if last_exc:
+        raise last_exc
+    raise Exception("bridge_unreachable")
+
+
+def initialize_once() -> None:
+    if STATE.conversation_id:
+        return
+
+    ensure_tool_ids()
+
+    first_task_id = STATE.baseline_task_id or str(uuid.uuid4())
+    STATE.baseline_task_id = first_task_id
+
+    health_urls = [f"{base}/healthz" for base in FALLBACK_BRIDGE_URLS]
+    last_err: Optional[str] = None
+    for _ in range(WARMUP_INIT_RETRIES):
+        try:
+            ok = False
+            last_err = None
+            for h in health_urls:
+                try:
+                    resp = requests.get(h, timeout=5.0)
+                    if resp.status_code == 200:
+                        ok = True
+                        break
+                    else:
+                        last_err = f"HTTP {resp.status_code} at {h}"
+                except Exception as he:
+                    last_err = f"{type(he).__name__}: {he} at {h}"
+            if ok:
+                break
+        except Exception as e:
+            last_err = str(e)
+        time.sleep(WARMUP_INIT_DELAY_S)
+    else:
+        raise RuntimeError(f"Bridge server not ready: {last_err}")
+
+    pkt = packet_template()
+    pkt["task_context"]["active_task_id"] = first_task_id
+    pkt["input"]["user_inputs"]["inputs"].append({"user_query": {"query": "warmup"}})
+
+    last_exc: Optional[Exception] = None
+    for attempt in range(1, WARMUP_REQUEST_RETRIES + 1):
+        try:
+            resp = bridge_send_stream(pkt)
+            break
+        except Exception as e:
+            last_exc = e
+            logger.warning(f"[OpenAI Compat] Warmup attempt {attempt}/{WARMUP_REQUEST_RETRIES} failed: {e}")
+            if attempt < WARMUP_REQUEST_RETRIES:
+                time.sleep(WARMUP_REQUEST_DELAY_S)
+            else:
+                raise
+
+    STATE.conversation_id = resp.get("conversation_id") or STATE.conversation_id
+    ret_task_id = resp.get("task_id")
+    if isinstance(ret_task_id, str) and ret_task_id:
+        STATE.baseline_task_id = ret_task_id 

protobuf2openai/config.py

@@ -0,0 +1,14 @@
+from __future__ import annotations
+
+import os
+
+BRIDGE_BASE_URL = os.getenv("WARP_BRIDGE_URL", "http://127.0.0.1:8000")
+FALLBACK_BRIDGE_URLS = [
+    BRIDGE_BASE_URL,
+    "http://127.0.0.1:8000",
+]
+
+WARMUP_INIT_RETRIES = int(os.getenv("WARP_COMPAT_INIT_RETRIES", "10"))
+WARMUP_INIT_DELAY_S = float(os.getenv("WARP_COMPAT_INIT_DELAY", "0.5"))
+WARMUP_REQUEST_RETRIES = int(os.getenv("WARP_COMPAT_WARMUP_RETRIES", "3"))
+WARMUP_REQUEST_DELAY_S = float(os.getenv("WARP_COMPAT_WARMUP_DELAY", "1.5")) 

protobuf2openai/helpers.py

@@ -0,0 +1,54 @@
+from __future__ import annotations
+
+from typing import Any, Dict, List
+
+
+def _get(d: Dict[str, Any], *names: str) -> Any:
+    for n in names:
+        if isinstance(d, dict) and n in d:
+            return d[n]
+    return None
+
+
+def normalize_content_to_list(content: Any) -> List[Dict[str, Any]]:
+    segments: List[Dict[str, Any]] = []
+    try:
+        if isinstance(content, str):
+            return [{"type": "text", "text": content}]
+        if isinstance(content, list):
+            for item in content:
+                if isinstance(item, dict):
+                    t = item.get("type") or ("text" if isinstance(item.get("text"), str) else None)
+                    if t == "text" and isinstance(item.get("text"), str):
+                        segments.append({"type": "text", "text": item.get("text")})
+                    else:
+                        seg: Dict[str, Any] = {}
+                        if t:
+                            seg["type"] = t
+                        if isinstance(item.get("text"), str):
+                            seg["text"] = item.get("text")
+                        if seg:
+                            segments.append(seg)
+            return segments
+        if isinstance(content, dict):
+            if isinstance(content.get("text"), str):
+                return [{"type": "text", "text": content.get("text")}]
+    except Exception:
+        return []
+    return []
+
+
+def segments_to_text(segments: List[Dict[str, Any]]) -> str:
+    parts: List[str] = []
+    for seg in segments:
+        if isinstance(seg, dict) and seg.get("type") == "text" and isinstance(seg.get("text"), str):
+            parts.append(seg.get("text") or "")
+    return "".join(parts)
+
+
+def segments_to_warp_results(segments: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+    results: List[Dict[str, Any]] = []
+    for seg in segments:
+        if isinstance(seg, dict) and seg.get("type") == "text" and isinstance(seg.get("text"), str):
+            results.append({"text": {"text": seg.get("text")}})
+    return results 

protobuf2openai/logging.py

@@ -0,0 +1,32 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Local logging for protobuf2openai package to avoid cross-package dependencies.
+"""
+import logging
+from logging.handlers import RotatingFileHandler
+from pathlib import Path
+
+LOG_DIR = Path("logs")
+LOG_DIR.mkdir(exist_ok=True)
+
+_logger = logging.getLogger("protobuf2openai")
+_logger.setLevel(logging.INFO)
+
+# Remove existing handlers to prevent duplication
+for h in _logger.handlers[:]:
+    _logger.removeHandler(h)
+
+file_handler = RotatingFileHandler(LOG_DIR / "openai_compat.log", maxBytes=5*1024*1024, backupCount=3, encoding="utf-8")
+file_handler.setLevel(logging.INFO)
+console_handler = logging.StreamHandler()
+console_handler.setLevel(logging.INFO)
+
+fmt = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(funcName)s:%(lineno)d - %(message)s')
+file_handler.setFormatter(fmt)
+console_handler.setFormatter(fmt)
+
+_logger.addHandler(file_handler)
+_logger.addHandler(console_handler)
+
+logger = _logger 

protobuf2openai/models.py

@@ -0,0 +1,31 @@
+from __future__ import annotations
+
+from typing import Any, Dict, List, Optional, Union
+from pydantic import BaseModel, Field
+
+
+class ChatMessage(BaseModel):
+    role: str
+    content: Optional[Union[str, List[Dict[str, Any]]]] = ""
+    tool_call_id: Optional[str] = None
+    tool_calls: Optional[List[Dict[str, Any]]] = None
+    name: Optional[str] = None
+
+
+class OpenAIFunctionDef(BaseModel):
+    name: str
+    description: Optional[str] = None
+    parameters: Optional[Dict[str, Any]] = None
+
+
+class OpenAITool(BaseModel):
+    type: str = Field("function", description="Only 'function' is supported")
+    function: OpenAIFunctionDef
+
+
+class ChatCompletionsRequest(BaseModel):
+    model: Optional[str] = None
+    messages: List[ChatMessage]
+    stream: Optional[bool] = False
+    tools: Optional[List[OpenAITool]] = None
+    tool_choice: Optional[Any] = None 

protobuf2openai/packets.py

@@ -0,0 +1,137 @@
+from __future__ import annotations
+
+import uuid
+from typing import Any, Dict, List, Optional
+import json
+
+from .state import STATE, ensure_tool_ids
+from .helpers import normalize_content_to_list, segments_to_text, segments_to_warp_results
+from .models import ChatMessage
+
+
+def packet_template() -> Dict[str, Any]:
+    return {
+        "task_context": {"active_task_id": ""},
+        "input": {"context": {}, "user_inputs": {"inputs": []}},
+        "settings": {
+            "model_config": {
+                "base": "claude-4.1-opus",
+                "planning": "gpt-5 (high reasoning)",
+                "coding": "auto",
+            },
+            "rules_enabled": False,
+            "web_context_retrieval_enabled": False,
+            "supports_parallel_tool_calls": False,
+            "planning_enabled": False,
+            "warp_drive_context_enabled": False,
+            "supports_create_files": False,
+            "use_anthropic_text_editor_tools": False,
+            "supports_long_running_commands": False,
+            "should_preserve_file_content_in_history": False,
+            "supports_todos_ui": False,
+            "supports_linked_code_blocks": False,
+            "supported_tools": [9],
+        },
+        "metadata": {"logging": {"is_autodetected_user_query": True, "entrypoint": "USER_INITIATED"}},
+    }
+
+
+def map_history_to_warp_messages(history: List[ChatMessage], task_id: str, system_prompt_for_last_user: Optional[str] = None, attach_to_history_last_user: bool = False) -> List[Dict[str, Any]]:
+    ensure_tool_ids()
+    msgs: List[Dict[str, Any]] = []
+    # Insert server tool_call preamble as first message
+    msgs.append({
+        "id": (STATE.tool_message_id or str(uuid.uuid4())),
+        "task_id": task_id,
+        "tool_call": {
+            "tool_call_id": (STATE.tool_call_id or str(uuid.uuid4())),
+            "server": {"payload": "IgIQAQ=="},
+        },
+    })
+
+    # Determine the last input message index (either last 'user' or last 'tool' with tool_call_id)
+    last_input_index: Optional[int] = None
+    for idx in range(len(history) - 1, -1, -1):
+        _m = history[idx]
+        if _m.role == "user":
+            last_input_index = idx
+            break
+        if _m.role == "tool" and _m.tool_call_id:
+            last_input_index = idx
+            break
+
+    for i, m in enumerate(history):
+        mid = str(uuid.uuid4())
+        # Skip the final input message; it will be placed into input.user_inputs
+        if (last_input_index is not None) and (i == last_input_index):
+            continue
+        if m.role == "user":
+            user_query_obj: Dict[str, Any] = {"query": segments_to_text(normalize_content_to_list(m.content))}
+            msgs.append({"id": mid, "task_id": task_id, "user_query": user_query_obj})
+        elif m.role == "assistant":
+            _assistant_text = segments_to_text(normalize_content_to_list(m.content))
+            if _assistant_text:
+                msgs.append({"id": mid, "task_id": task_id, "agent_output": {"text": _assistant_text}})
+            for tc in (m.tool_calls or []):
+                msgs.append({
+                    "id": str(uuid.uuid4()),
+                    "task_id": task_id,
+                    "tool_call": {
+                        "tool_call_id": tc.get("id") or str(uuid.uuid4()),
+                        "call_mcp_tool": {
+                            "name": (tc.get("function", {}) or {}).get("name", ""),
+                            "args": (json.loads((tc.get("function", {}) or {}).get("arguments", "{}")) if isinstance((tc.get("function", {}) or {}).get("arguments"), str) else (tc.get("function", {}) or {}).get("arguments", {})) or {},
+                        },
+                    },
+                })
+        elif m.role == "tool":
+            # Preserve tool_result adjacency by placing it directly in task_context
+            if m.tool_call_id:
+                msgs.append({
+                    "id": str(uuid.uuid4()),
+                    "task_id": task_id,
+                    "tool_call_result": {
+                        "tool_call_id": m.tool_call_id,
+                        "call_mcp_tool": {
+                            "success": {
+                                "results": segments_to_warp_results(normalize_content_to_list(m.content))
+                            }
+                        },
+                    },
+                })
+    return msgs
+
+
+def attach_user_and_tools_to_inputs(packet: Dict[str, Any], history: List[ChatMessage], system_prompt_text: Optional[str]) -> None:
+    # Use the final post-reorder message as input (user or tool result)
+    if not history:
+        assert False, "post-reorder 必须至少包含一条消息"
+    last = history[-1]
+    if last.role == "user":
+        user_query_payload: Dict[str, Any] = {"query": segments_to_text(normalize_content_to_list(last.content))}
+        if system_prompt_text:
+            user_query_payload["referenced_attachments"] = {
+                "SYSTEM_PROMPT": {
+                    "plain_text": f"""<ALERT>you are not allowed to call following tools:  - `read_files`
+- `write_files`
+- `run_commands`
+- `list_files`
+- `str_replace_editor`
+- `ask_followup_question`
+- `attempt_completion`</ALERT>{system_prompt_text}"""
+                    }
+                }
+        packet["input"]["user_inputs"]["inputs"].append({"user_query": user_query_payload})
+        return
+    if last.role == "tool" and last.tool_call_id:
+        packet["input"]["user_inputs"]["inputs"].append({
+            "tool_call_result": {
+                "tool_call_id": last.tool_call_id,
+                "call_mcp_tool": {
+                    "success": {"results": segments_to_warp_results(normalize_content_to_list(last.content))}
+                },
+            }
+        })
+        return
+    # If neither, assert to catch protocol violations
+    assert False, "post-reorder 最后一条必须是 user 或 tool 结果" 

protobuf2openai/reorder.py

@@ -0,0 +1,96 @@
+from __future__ import annotations
+
+from typing import Dict, List, Optional
+from .models import ChatMessage
+from .helpers import normalize_content_to_list, segments_to_text
+
+
+def reorder_messages_for_anthropic(history: List[ChatMessage]) -> List[ChatMessage]:
+    if not history:
+        return []
+
+    expanded: List[ChatMessage] = []
+    for m in history:
+        if m.role == "user":
+            items = normalize_content_to_list(m.content)
+            if isinstance(m.content, list) and len(items) > 1:
+                for seg in items:
+                    if isinstance(seg, dict) and seg.get("type") == "text" and isinstance(seg.get("text"), str):
+                        expanded.append(ChatMessage(role="user", content=seg.get("text")))
+                    else:
+                        expanded.append(ChatMessage(role="user", content=[seg] if isinstance(seg, dict) else seg))
+            else:
+                expanded.append(m)
+        elif m.role == "assistant" and m.tool_calls and len(m.tool_calls) > 1:
+            _assistant_text = segments_to_text(normalize_content_to_list(m.content))
+            if _assistant_text:
+                expanded.append(ChatMessage(role="assistant", content=_assistant_text))
+            for tc in (m.tool_calls or []):
+                expanded.append(ChatMessage(role="assistant", content=None, tool_calls=[tc]))
+        else:
+            expanded.append(m)
+
+    last_input_tool_id: Optional[str] = None
+    last_input_is_tool = False
+    for m in reversed(expanded):
+        if m.role == "tool" and m.tool_call_id:
+            last_input_tool_id = m.tool_call_id
+            last_input_is_tool = True
+            break
+        if m.role == "user":
+            break
+
+    tool_results_by_id: Dict[str, ChatMessage] = {}
+    assistant_tc_ids: set[str] = set()
+    for m in expanded:
+        if m.role == "tool" and m.tool_call_id and m.tool_call_id not in tool_results_by_id:
+            tool_results_by_id[m.tool_call_id] = m
+        if m.role == "assistant" and m.tool_calls:
+            try:
+                for tc in (m.tool_calls or []):
+                    _id = (tc or {}).get("id")
+                    if isinstance(_id, str) and _id:
+                        assistant_tc_ids.add(_id)
+            except Exception:
+                pass
+
+    result: List[ChatMessage] = []
+    trailing_assistant_msg: Optional[ChatMessage] = None
+    for m in expanded:
+        if m.role == "tool":
+            # Preserve unmatched tool results inline
+            if not m.tool_call_id or m.tool_call_id not in assistant_tc_ids:
+                result.append(m)
+                if m.tool_call_id:
+                    tool_results_by_id.pop(m.tool_call_id, None)
+            continue
+        if m.role == "assistant" and m.tool_calls:
+            ids: List[str] = []
+            try:
+                for tc in (m.tool_calls or []):
+                    _id = (tc or {}).get("id")
+                    if isinstance(_id, str) and _id:
+                        ids.append(_id)
+            except Exception:
+                pass
+
+            if last_input_is_tool and last_input_tool_id and (last_input_tool_id in ids):
+                if trailing_assistant_msg is None:
+                    trailing_assistant_msg = m
+                continue
+
+            result.append(m)
+            for _id in ids:
+                tr = tool_results_by_id.pop(_id, None)
+                if tr is not None:
+                    result.append(tr)
+            continue
+        result.append(m)
+
+    if last_input_is_tool and last_input_tool_id and trailing_assistant_msg is not None:
+        result.append(trailing_assistant_msg)
+        tr = tool_results_by_id.pop(last_input_tool_id, None)
+        if tr is not None:
+            result.append(tr)
+
+    return result 

protobuf2openai/router.py

@@ -0,0 +1,219 @@
+from __future__ import annotations
+
+import asyncio
+import json
+import time
+import uuid
+from typing import Any, Dict, List, Optional
+
+import requests
+from fastapi import APIRouter, HTTPException
+from fastapi.responses import StreamingResponse
+
+from .logging import logger
+
+from .models import ChatCompletionsRequest, ChatMessage
+from .reorder import reorder_messages_for_anthropic
+from .helpers import normalize_content_to_list, segments_to_text
+from .packets import packet_template, map_history_to_warp_messages, attach_user_and_tools_to_inputs
+from .state import STATE
+from .config import BRIDGE_BASE_URL
+from .bridge import initialize_once
+from .sse_transform import stream_openai_sse
+
+
+router = APIRouter()
+
+
+@router.get("/")
+def root():
+    return {"service": "OpenAI Chat Completions (Warp bridge) - Streaming", "status": "ok"}
+
+
+@router.get("/healthz")
+def health_check():
+    return {"status": "ok", "service": "OpenAI Chat Completions (Warp bridge) - Streaming"}
+
+
+@router.get("/v1/models")
+def list_models():
+    """OpenAI-compatible model listing. Forwards to bridge, with local fallback."""
+    try:
+        resp = requests.get(f"{BRIDGE_BASE_URL}/v1/models", timeout=10.0)
+        if resp.status_code != 200:
+            raise HTTPException(resp.status_code, f"bridge_error: {resp.text}")
+        return resp.json()
+    except Exception as e:
+        try:
+            # Local fallback: construct models directly if bridge is unreachable
+            from warp2protobuf.config.models import get_all_unique_models  # type: ignore
+            models = get_all_unique_models()
+            return {"object": "list", "data": models}
+        except Exception:
+            raise HTTPException(502, f"bridge_unreachable: {e}")
+
+
+@router.post("/v1/chat/completions")
+async def chat_completions(req: ChatCompletionsRequest):
+    try:
+        initialize_once()
+    except Exception as e:
+        logger.warning(f"[OpenAI Compat] initialize_once failed or skipped: {e}")
+
+    if not req.messages:
+        raise HTTPException(400, "messages 不能为空")
+
+    # 1) 打印接收到的 Chat Completions 原始请求体
+    try:
+        logger.info("[OpenAI Compat] 接收到的 Chat Completions 请求体(原始): %s", json.dumps(req.dict(), ensure_ascii=False))
+    except Exception:
+        logger.info("[OpenAI Compat] 接收到的 Chat Completions 请求体(原始) 序列化失败")
+
+    # 整理消息
+    history: List[ChatMessage] = reorder_messages_for_anthropic(list(req.messages))
+
+    # 2) 打印整理后的请求体（post-reorder）
+    try:
+        logger.info("[OpenAI Compat] 整理后的请求体(post-reorder): %s", json.dumps({
+            **req.dict(),
+            "messages": [m.dict() for m in history]
+        }, ensure_ascii=False))
+    except Exception:
+        logger.info("[OpenAI Compat] 整理后的请求体(post-reorder) 序列化失败")
+
+    system_prompt_text: Optional[str] = None
+    try:
+        chunks: List[str] = []
+        for _m in history:
+            if _m.role == "system":
+                _txt = segments_to_text(normalize_content_to_list(_m.content))
+                if _txt.strip():
+                    chunks.append(_txt)
+        if chunks:
+            system_prompt_text = "\n\n".join(chunks)
+    except Exception:
+        system_prompt_text = None
+
+    task_id = STATE.baseline_task_id or str(uuid.uuid4())
+    packet = packet_template()
+    packet["task_context"] = {
+        "tasks": [{
+            "id": task_id,
+            "description": "",
+            "status": {"in_progress": {}},
+            "messages": map_history_to_warp_messages(history, task_id, None, False),
+        }],
+        "active_task_id": task_id,
+    }
+
+    packet.setdefault("settings", {}).setdefault("model_config", {})
+    packet["settings"]["model_config"]["base"] = req.model or packet["settings"]["model_config"].get("base") or "claude-4.1-opus"
+
+    if STATE.conversation_id:
+        packet.setdefault("metadata", {})["conversation_id"] = STATE.conversation_id
+
+    attach_user_and_tools_to_inputs(packet, history, system_prompt_text)
+
+    if req.tools:
+        mcp_tools: List[Dict[str, Any]] = []
+        for t in req.tools:
+            if t.type != "function" or not t.function:
+                continue
+            mcp_tools.append({
+                "name": t.function.name,
+                "description": t.function.description or "",
+                "input_schema": t.function.parameters or {},
+            })
+        if mcp_tools:
+            packet.setdefault("mcp_context", {}).setdefault("tools", []).extend(mcp_tools)
+
+    # 3) 打印转换成 protobuf JSON 的请求体（发送到 bridge 的数据包）
+    try:
+        logger.info("[OpenAI Compat] 转换成 Protobuf JSON 的请求体: %s", json.dumps(packet, ensure_ascii=False))
+    except Exception:
+        logger.info("[OpenAI Compat] 转换成 Protobuf JSON 的请求体 序列化失败")
+
+    created_ts = int(time.time())
+    completion_id = str(uuid.uuid4())
+    model_id = req.model or "warp-default"
+
+    if req.stream:
+        async def _agen():
+            async for chunk in stream_openai_sse(packet, completion_id, created_ts, model_id):
+                yield chunk
+        return StreamingResponse(_agen(), media_type="text/event-stream", headers={"Cache-Control": "no-cache", "Connection": "keep-alive"})
+
+    def _post_once() -> requests.Response:
+        return requests.post(
+            f"{BRIDGE_BASE_URL}/api/warp/send_stream",
+            json={"json_data": packet, "message_type": "warp.multi_agent.v1.Request"},
+            timeout=(5.0, 180.0),
+        )
+
+    try:
+        resp = _post_once()
+        if resp.status_code == 429:
+            try:
+                r = requests.post(f"{BRIDGE_BASE_URL}/api/auth/refresh", timeout=10.0)
+                logger.warning("[OpenAI Compat] Bridge returned 429. Tried JWT refresh -> HTTP %s", getattr(r, 'status_code', 'N/A'))
+            except Exception as _e:
+                logger.warning("[OpenAI Compat] JWT refresh attempt failed after 429: %s", _e)
+            resp = _post_once()
+        if resp.status_code != 200:
+            raise HTTPException(resp.status_code, f"bridge_error: {resp.text}")
+        bridge_resp = resp.json()
+    except Exception as e:
+        raise HTTPException(502, f"bridge_unreachable: {e}")
+
+    try:
+        STATE.conversation_id = bridge_resp.get("conversation_id") or STATE.conversation_id
+        ret_task_id = bridge_resp.get("task_id")
+        if isinstance(ret_task_id, str) and ret_task_id:
+            STATE.baseline_task_id = ret_task_id
+    except Exception:
+        pass
+
+    tool_calls: List[Dict[str, Any]] = []
+    try:
+        parsed_events = bridge_resp.get("parsed_events", []) or []
+        for ev in parsed_events:
+            evd = ev.get("parsed_data") or ev.get("raw_data") or {}
+            client_actions = evd.get("client_actions") or evd.get("clientActions") or {}
+            actions = client_actions.get("actions") or client_actions.get("Actions") or []
+            for action in actions:
+                add_msgs = action.get("add_messages_to_task") or action.get("addMessagesToTask") or {}
+                if not isinstance(add_msgs, dict):
+                    continue
+                for message in add_msgs.get("messages", []) or []:
+                    tc = message.get("tool_call") or message.get("toolCall") or {}
+                    call_mcp = tc.get("call_mcp_tool") or tc.get("callMcpTool") or {}
+                    if isinstance(call_mcp, dict) and call_mcp.get("name"):
+                        try:
+                            args_obj = call_mcp.get("args", {}) or {}
+                            args_str = json.dumps(args_obj, ensure_ascii=False)
+                        except Exception:
+                            args_str = "{}"
+                        tool_calls.append({
+                            "id": tc.get("tool_call_id") or str(uuid.uuid4()),
+                            "type": "function",
+                            "function": {"name": call_mcp.get("name"), "arguments": args_str},
+                        })
+    except Exception:
+        pass
+
+    if tool_calls:
+        msg_payload = {"role": "assistant", "content": "", "tool_calls": tool_calls}
+        finish_reason = "tool_calls"
+    else:
+        response_text = bridge_resp.get("response", "")
+        msg_payload = {"role": "assistant", "content": response_text}
+        finish_reason = "stop"
+
+    final = {
+        "id": completion_id,
+        "object": "chat.completion",
+        "created": created_ts,
+        "model": model_id,
+        "choices": [{"index": 0, "message": msg_payload, "finish_reason": finish_reason}],
+    }
+    return final 

protobuf2openai/sse_transform.py

@@ -0,0 +1,345 @@
+from __future__ import annotations
+
+import json
+import uuid
+from typing import Any, AsyncGenerator, Dict
+
+import httpx
+from .logging import logger
+
+from .config import BRIDGE_BASE_URL
+from .helpers import _get
+
+
+async def stream_openai_sse(packet: Dict[str, Any], completion_id: str, created_ts: int, model_id: str) -> AsyncGenerator[str, None]:
+    try:
+        first = {
+            "id": completion_id,
+            "object": "chat.completion.chunk",
+            "created": created_ts,
+            "model": model_id,
+            "choices": [{"index": 0, "delta": {"role": "assistant"}}],
+        }
+        # 打印转换后的首个 SSE 事件（OpenAI 格式）
+        try:
+            logger.info("[OpenAI Compat] 转换后的 SSE(emit): %s", json.dumps(first, ensure_ascii=False))
+        except Exception:
+            pass
+        yield f"data: {json.dumps(first, ensure_ascii=False)}\n\n"
+
+        timeout = httpx.Timeout(60.0)
+        async with httpx.AsyncClient(http2=True, timeout=timeout, trust_env=True) as client:
+            def _do_stream():
+                return client.stream(
+                    "POST",
+                    f"{BRIDGE_BASE_URL}/api/warp/send_stream_sse",
+                    headers={"accept": "text/event-stream"},
+                    json={"json_data": packet, "message_type": "warp.multi_agent.v1.Request"},
+                )
+
+            # 首次请求
+            response_cm = _do_stream()
+            async with response_cm as response:
+                if response.status_code == 429:
+                    try:
+                        r = await client.post(f"{BRIDGE_BASE_URL}/api/auth/refresh", timeout=10.0)
+                        logger.warning("[OpenAI Compat] Bridge returned 429. Tried JWT refresh -> HTTP %s", r.status_code)
+                    except Exception as _e:
+                        logger.warning("[OpenAI Compat] JWT refresh attempt failed after 429: %s", _e)
+                    # 重试一次
+                    response_cm2 = _do_stream()
+                    async with response_cm2 as response2:
+                        response = response2
+                        if response.status_code != 200:
+                            error_text = await response.aread()
+                            error_content = error_text.decode("utf-8") if error_text else ""
+                            logger.error(f"[OpenAI Compat] Bridge HTTP error {response.status_code}: {error_content[:300]}")
+                            raise RuntimeError(f"bridge error: {error_content}")
+                        current = ""
+                        tool_calls_emitted = False
+                        async for line in response.aiter_lines():
+                            if line.startswith("data:"):
+                                payload = line[5:].strip()
+                                if not payload:
+                                    continue
+                                # 打印接收到的 Protobuf SSE 原始事件片段
+                                try:
+                                    logger.info("[OpenAI Compat] 接收到的 Protobuf SSE(data): %s", payload)
+                                except Exception:
+                                    pass
+                                if payload == "[DONE]":
+                                    break
+                                current += payload
+                                continue
+                            if (line.strip() == "") and current:
+                                try:
+                                    ev = json.loads(current)
+                                except Exception:
+                                    current = ""
+                                    continue
+                                current = ""
+                                event_data = (ev or {}).get("parsed_data") or {}
+
+                                # 打印接收到的 Protobuf 事件（解析后）
+                                try:
+                                    logger.info("[OpenAI Compat] 接收到的 Protobuf 事件(parsed): %s", json.dumps(event_data, ensure_ascii=False))
+                                except Exception:
+                                    pass
+
+                                if "init" in event_data:
+                                    pass
+
+                                client_actions = _get(event_data, "client_actions", "clientActions")
+                                if isinstance(client_actions, dict):
+                                    actions = _get(client_actions, "actions", "Actions") or []
+                                    for action in actions:
+                                        append_data = _get(action, "append_to_message_content", "appendToMessageContent")
+                                        if isinstance(append_data, dict):
+                                            message = append_data.get("message", {})
+                                            agent_output = _get(message, "agent_output", "agentOutput") or {}
+                                            text_content = agent_output.get("text", "")
+                                            if text_content:
+                                                delta = {
+                                                    "id": completion_id,
+                                                    "object": "chat.completion.chunk",
+                                                    "created": created_ts,
+                                                    "model": model_id,
+                                                    "choices": [{"index": 0, "delta": {"content": text_content}}],
+                                                }
+                                                # 打印转换后的 OpenAI SSE 事件
+                                                try:
+                                                    logger.info("[OpenAI Compat] 转换后的 SSE(emit): %s", json.dumps(delta, ensure_ascii=False))
+                                                except Exception:
+                                                    pass
+                                                yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
+
+                                        messages_data = _get(action, "add_messages_to_task", "addMessagesToTask")
+                                        if isinstance(messages_data, dict):
+                                            messages = messages_data.get("messages", [])
+                                            for message in messages:
+                                                tool_call = _get(message, "tool_call", "toolCall") or {}
+                                                call_mcp = _get(tool_call, "call_mcp_tool", "callMcpTool") or {}
+                                                if isinstance(call_mcp, dict) and call_mcp.get("name"):
+                                                    try:
+                                                        args_obj = call_mcp.get("args", {}) or {}
+                                                        args_str = json.dumps(args_obj, ensure_ascii=False)
+                                                    except Exception:
+                                                        args_str = "{}"
+                                                    tool_call_id = tool_call.get("tool_call_id") or str(uuid.uuid4())
+                                                    delta = {
+                                                        "id": completion_id,
+                                                        "object": "chat.completion.chunk",
+                                                        "created": created_ts,
+                                                        "model": model_id,
+                                                        "choices": [{
+                                                            "index": 0,
+                                                            "delta": {
+                                                                "tool_calls": [{
+                                                                    "index": 0,
+                                                                    "id": tool_call_id,
+                                                                    "type": "function",
+                                                                    "function": {"name": call_mcp.get("name"), "arguments": args_str},
+                                                                }]
+                                                            }
+                                                        }],
+                                                    }
+                                                    # 打印转换后的 OpenAI 工具调用事件
+                                                    try:
+                                                        logger.info("[OpenAI Compat] 转换后的 SSE(emit tool_calls): %s", json.dumps(delta, ensure_ascii=False))
+                                                    except Exception:
+                                                        pass
+                                                    yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
+                                                    tool_calls_emitted = True
+                                                else:
+                                                    agent_output = _get(message, "agent_output", "agentOutput") or {}
+                                                    text_content = agent_output.get("text", "")
+                                                    if text_content:
+                                                        delta = {
+                                                            "id": completion_id,
+                                                            "object": "chat.completion.chunk",
+                                                            "created": created_ts,
+                                                            "model": model_id,
+                                                            "choices": [{"index": 0, "delta": {"content": text_content}}],
+                                                        }
+                                                        try:
+                                                            logger.info("[OpenAI Compat] 转换后的 SSE(emit): %s", json.dumps(delta, ensure_ascii=False))
+                                                        except Exception:
+                                                            pass
+                                                        yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
+
+                                if "finished" in event_data:
+                                    done_chunk = {
+                                        "id": completion_id,
+                                        "object": "chat.completion.chunk",
+                                        "created": created_ts,
+                                        "model": model_id,
+                                        "choices": [{"index": 0, "delta": {}, "finish_reason": ("tool_calls" if tool_calls_emitted else "stop")}],
+                                    }
+                                    try:
+                                        logger.info("[OpenAI Compat] 转换后的 SSE(emit done): %s", json.dumps(done_chunk, ensure_ascii=False))
+                                    except Exception:
+                                        pass
+                                    yield f"data: {json.dumps(done_chunk, ensure_ascii=False)}\n\n"
+
+                        # 打印完成标记
+                        try:
+                            logger.info("[OpenAI Compat] 转换后的 SSE(emit): [DONE]")
+                        except Exception:
+                            pass
+                        yield "data: [DONE]\n\n"
+                        return
+
+                if response.status_code != 200:
+                    error_text = await response.aread()
+                    error_content = error_text.decode("utf-8") if error_text else ""
+                    logger.error(f"[OpenAI Compat] Bridge HTTP error {response.status_code}: {error_content[:300]}")
+                    raise RuntimeError(f"bridge error: {error_content}")
+
+                current = ""
+                tool_calls_emitted = False
+                async for line in response.aiter_lines():
+                    if line.startswith("data:"):
+                        payload = line[5:].strip()
+                        if not payload:
+                            continue
+                        # 打印接收到的 Protobuf SSE 原始事件片段
+                        try:
+                            logger.info("[OpenAI Compat] 接收到的 Protobuf SSE(data): %s", payload)
+                        except Exception:
+                            pass
+                        if payload == "[DONE]":
+                            break
+                        current += payload
+                        continue
+                    if (line.strip() == "") and current:
+                        try:
+                            ev = json.loads(current)
+                        except Exception:
+                            current = ""
+                            continue
+                        current = ""
+                        event_data = (ev or {}).get("parsed_data") or {}
+
+                        # 打印接收到的 Protobuf 事件（解析后）
+                        try:
+                            logger.info("[OpenAI Compat] 接收到的 Protobuf 事件(parsed): %s", json.dumps(event_data, ensure_ascii=False))
+                        except Exception:
+                            pass
+
+                        if "init" in event_data:
+                            pass
+
+                        client_actions = _get(event_data, "client_actions", "clientActions")
+                        if isinstance(client_actions, dict):
+                            actions = _get(client_actions, "actions", "Actions") or []
+                            for action in actions:
+                                append_data = _get(action, "append_to_message_content", "appendToMessageContent")
+                                if isinstance(append_data, dict):
+                                    message = append_data.get("message", {})
+                                    agent_output = _get(message, "agent_output", "agentOutput") or {}
+                                    text_content = agent_output.get("text", "")
+                                    if text_content:
+                                        delta = {
+                                            "id": completion_id,
+                                            "object": "chat.completion.chunk",
+                                            "created": created_ts,
+                                            "model": model_id,
+                                            "choices": [{"index": 0, "delta": {"content": text_content}}],
+                                        }
+                                        # 打印转换后的 OpenAI SSE 事件
+                                        try:
+                                            logger.info("[OpenAI Compat] 转换后的 SSE(emit): %s", json.dumps(delta, ensure_ascii=False))
+                                        except Exception:
+                                            pass
+                                        yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
+
+                                messages_data = _get(action, "add_messages_to_task", "addMessagesToTask")
+                                if isinstance(messages_data, dict):
+                                    messages = messages_data.get("messages", [])
+                                    for message in messages:
+                                        tool_call = _get(message, "tool_call", "toolCall") or {}
+                                        call_mcp = _get(tool_call, "call_mcp_tool", "callMcpTool") or {}
+                                        if isinstance(call_mcp, dict) and call_mcp.get("name"):
+                                            try:
+                                                args_obj = call_mcp.get("args", {}) or {}
+                                                args_str = json.dumps(args_obj, ensure_ascii=False)
+                                            except Exception:
+                                                args_str = "{}"
+                                            tool_call_id = tool_call.get("tool_call_id") or str(uuid.uuid4())
+                                            delta = {
+                                                "id": completion_id,
+                                                "object": "chat.completion.chunk",
+                                                "created": created_ts,
+                                                "model": model_id,
+                                                "choices": [{
+                                                    "index": 0,
+                                                    "delta": {
+                                                        "tool_calls": [{
+                                                            "index": 0,
+                                                            "id": tool_call_id,
+                                                            "type": "function",
+                                                            "function": {"name": call_mcp.get("name"), "arguments": args_str},
+                                                        }]
+                                                    }
+                                                }],
+                                            }
+                                            # 打印转换后的 OpenAI 工具调用事件
+                                            try:
+                                                logger.info("[OpenAI Compat] 转换后的 SSE(emit tool_calls): %s", json.dumps(delta, ensure_ascii=False))
+                                            except Exception:
+                                                pass
+                                            yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
+                                            tool_calls_emitted = True
+                                        else:
+                                            agent_output = _get(message, "agent_output", "agentOutput") or {}
+                                            text_content = agent_output.get("text", "")
+                                            if text_content:
+                                                delta = {
+                                                    "id": completion_id,
+                                                    "object": "chat.completion.chunk",
+                                                    "created": created_ts,
+                                                    "model": model_id,
+                                                    "choices": [{"index": 0, "delta": {"content": text_content}}],
+                                                }
+                                                try:
+                                                    logger.info("[OpenAI Compat] 转换后的 SSE(emit): %s", json.dumps(delta, ensure_ascii=False))
+                                                except Exception:
+                                                    pass
+                                                yield f"data: {json.dumps(delta, ensure_ascii=False)}\n\n"
+
+                        if "finished" in event_data:
+                            done_chunk = {
+                                "id": completion_id,
+                                "object": "chat.completion.chunk",
+                                "created": created_ts,
+                                "model": model_id,
+                                "choices": [{"index": 0, "delta": {}, "finish_reason": ("tool_calls" if tool_calls_emitted else "stop")}],
+                            }
+                            try:
+                                logger.info("[OpenAI Compat] 转换后的 SSE(emit done): %s", json.dumps(done_chunk, ensure_ascii=False))
+                            except Exception:
+                                pass
+                            yield f"data: {json.dumps(done_chunk, ensure_ascii=False)}\n\n"
+
+                # 打印完成标记
+                try:
+                    logger.info("[OpenAI Compat] 转换后的 SSE(emit): [DONE]")
+                except Exception:
+                    pass
+                yield "data: [DONE]\n\n"
+    except Exception as e:
+        logger.error(f"[OpenAI Compat] Stream processing failed: {e}")
+        error_chunk = {
+            "id": completion_id,
+            "object": "chat.completion.chunk",
+            "created": created_ts,
+            "model": model_id,
+            "choices": [{"index": 0, "delta": {}, "finish_reason": "error"}],
+            "error": {"message": str(e)},
+        }
+        try:
+            logger.info("[OpenAI Compat] 转换后的 SSE(emit error): %s", json.dumps(error_chunk, ensure_ascii=False))
+        except Exception:
+            pass
+        yield f"data: {json.dumps(error_chunk, ensure_ascii=False)}\n\n"
+        yield "data: [DONE]\n\n" 

protobuf2openai/state.py

@@ -0,0 +1,23 @@
+from __future__ import annotations
+
+import uuid
+from typing import Optional
+from pydantic import BaseModel
+
+
+class BridgeState(BaseModel):
+    conversation_id: Optional[str] = None
+    baseline_task_id: Optional[str] = None
+    tool_call_id: Optional[str] = None
+    tool_message_id: Optional[str] = None
+
+
+STATE = BridgeState()
+
+# Initialize tool ids lazily when needed
+
+def ensure_tool_ids():
+    if not STATE.tool_call_id:
+        STATE.tool_call_id = str(uuid.uuid4())
+    if not STATE.tool_message_id:
+        STATE.tool_message_id = str(uuid.uuid4()) 

pyproject.toml

@@ -0,0 +1,25 @@
+[project]
+name = "warptestui"
+version = "0.1.0"
+description = "Test UI for Warp"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "fastapi[standard]",
+    "uvicorn[standard]",
+    "httpx[http2]",
+    "protobuf",
+    "grpcio-tools",
+    "python-dotenv",
+    "websockets>=15.0.1",
+    "requests>=2.32.5",
+    "openai>=1.106.0",
+]
+
+[project.scripts]
+warp-server = "server:main"
+warp-test = "main:main"
+
+[[tool.uv.index]]
+url = "https://mirrors.ustc.edu.cn/pypi/simple"
+default = true

server.py

@@ -0,0 +1,585 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Warp Protobuf编解码服务器启动文件
+
+纯protobuf编解码服务器，提供JSON<->Protobuf转换、WebSocket监控和静态文件服务。
+"""
+
+from typing import Dict, Optional, Tuple
+import base64
+from pathlib import Path
+from contextlib import asynccontextmanager
+
+import uvicorn
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import HTMLResponse
+from fastapi import Query, HTTPException
+from fastapi.responses import Response
+
+# 新增：类型导入
+from typing import Any
+
+from warp2protobuf.api.protobuf_routes import app as protobuf_app
+from warp2protobuf.core.logging import logger, set_log_file
+from warp2protobuf.api.protobuf_routes import EncodeRequest, _encode_smd_inplace
+from warp2protobuf.core.protobuf_utils import dict_to_protobuf_bytes
+from warp2protobuf.core.schema_sanitizer import sanitize_mcp_input_schema_in_packet
+from warp2protobuf.core.auth import acquire_anonymous_access_token
+from warp2protobuf.config.models import get_all_unique_models
+
+
+# ============= 工具：input_schema 清理与校验 =============
+
+
+def _is_empty_value(value: Any) -> bool:
+    if value is None:
+        return True
+    if isinstance(value, str) and value.strip() == "":
+        return True
+    if isinstance(value, (list, dict)) and len(value) == 0:
+        return True
+    return False
+
+
+def _deep_clean(value: Any) -> Any:
+    if isinstance(value, dict):
+        cleaned: Dict[str, Any] = {}
+        for k, v in value.items():
+            vv = _deep_clean(v)
+            if _is_empty_value(vv):
+                continue
+            cleaned[k] = vv
+        return cleaned
+    if isinstance(value, list):
+        cleaned_list = []
+        for item in value:
+            ii = _deep_clean(item)
+            if _is_empty_value(ii):
+                continue
+            cleaned_list.append(ii)
+        return cleaned_list
+    if isinstance(value, str):
+        return value.strip()
+    return value
+
+
+def _infer_type_for_property(prop_name: str) -> str:
+    name = prop_name.lower()
+    if name in ("url", "uri", "href", "link"):
+        return "string"
+    if name in ("headers", "options", "params", "payload", "data"):
+        return "object"
+    return "string"
+
+
+def _ensure_property_schema(name: str, schema: Dict[str, Any]) -> Dict[str, Any]:
+    prop = dict(schema) if isinstance(schema, dict) else {}
+    prop = _deep_clean(prop)
+
+    # 必填：type & description
+    if (
+        "type" not in prop
+        or not isinstance(prop.get("type"), str)
+        or not prop["type"].strip()
+    ):
+        prop["type"] = _infer_type_for_property(name)
+    if (
+        "description" not in prop
+        or not isinstance(prop.get("description"), str)
+        or not prop["description"].strip()
+    ):
+        prop["description"] = f"{name} parameter"
+
+    # 特殊处理 headers：必须是对象，且其 properties 不能是空
+    if name.lower() == "headers":
+        prop["type"] = "object"
+        headers_props = prop.get("properties")
+        if not isinstance(headers_props, dict):
+            headers_props = {}
+        headers_props = _deep_clean(headers_props)
+        if not headers_props:
+            headers_props = {
+                "user-agent": {
+                    "type": "string",
+                    "description": "User-Agent header for the request",
+                }
+            }
+        else:
+            # 清理并保证每个 header 的子属性都具备 type/description
+            fixed_headers: Dict[str, Any] = {}
+            for hk, hv in headers_props.items():
+                sub = _deep_clean(hv if isinstance(hv, dict) else {})
+                if (
+                    "type" not in sub
+                    or not isinstance(sub.get("type"), str)
+                    or not sub["type"].strip()
+                ):
+                    sub["type"] = "string"
+                if (
+                    "description" not in sub
+                    or not isinstance(sub.get("description"), str)
+                    or not sub["description"].strip()
+                ):
+                    sub["description"] = f"{hk} header"
+                fixed_headers[hk] = sub
+            headers_props = fixed_headers
+        prop["properties"] = headers_props
+        # 处理 required 空数组
+        if isinstance(prop.get("required"), list):
+            req = [
+                r for r in prop["required"] if isinstance(r, str) and r in headers_props
+            ]
+            if req:
+                prop["required"] = req
+            else:
+                prop.pop("required", None)
+        # additionalProperties 若为空 dict，删除；保留显式 True/False
+        if (
+            isinstance(prop.get("additionalProperties"), dict)
+            and len(prop["additionalProperties"]) == 0
+        ):
+            prop.pop("additionalProperties", None)
+
+    return prop
+
+
+def _sanitize_json_schema(schema: Dict[str, Any]) -> Dict[str, Any]:
+    s = _deep_clean(schema if isinstance(schema, dict) else {})
+
+    # 如果存在 properties，则顶层应为 object
+    if "properties" in s and not isinstance(s.get("type"), str):
+        s["type"] = "object"
+
+    # 修正 $schema
+    if "$schema" in s and not isinstance(s["$schema"], str):
+        s.pop("$schema", None)
+    if "$schema" not in s:
+        s["$schema"] = "http://json-schema.org/draft-07/schema#"
+
+    properties = s.get("properties")
+    if isinstance(properties, dict):
+        fixed_props: Dict[str, Any] = {}
+        for name, subschema in properties.items():
+            fixed_props[name] = _ensure_property_schema(
+                name, subschema if isinstance(subschema, dict) else {}
+            )
+        s["properties"] = fixed_props
+
+    # required：去掉不存在的属性，且不允许为空列表
+    if isinstance(s.get("required"), list):
+        if isinstance(properties, dict):
+            req = [r for r in s["required"] if isinstance(r, str) and r in properties]
+        else:
+            req = []
+        if req:
+            s["required"] = req
+        else:
+            s.pop("required", None)
+
+    # additionalProperties：空 dict 视为无效，删除
+    if (
+        isinstance(s.get("additionalProperties"), dict)
+        and len(s["additionalProperties"]) == 0
+    ):
+        s.pop("additionalProperties", None)
+
+    return s
+
+
+class _InputSchemaSanitizerMiddleware:  # deprecated; use sanitize_mcp_input_schema_in_packet in handlers
+    pass
+
+
+# ============= 应用创建 =============
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """应用生命周期管理"""
+    # 启动时执行
+    await startup_tasks()
+    yield
+    # 关闭时执行（如果需要的话）
+    pass
+
+
+def create_app() -> FastAPI:
+    """创建FastAPI应用"""
+    # 将服务器日志重定向到专用文件
+    try:
+        set_log_file("warp_server.log")
+    except Exception:
+        pass
+
+    # 使用protobuf路由的应用作为主应用，并添加lifespan处理器
+    app = FastAPI(lifespan=lifespan)
+
+    # 将protobuf路由包含到主应用中
+    app.mount("/", protobuf_app)
+
+    # 挂载输入 schema 清理中间件（覆盖 Warp 相关端点）
+
+    # 检查静态文件目录
+    static_dir = Path("static")
+    if static_dir.exists():
+        # 挂载静态文件服务
+        app.mount("/static", StaticFiles(directory="static"), name="static")
+        logger.info("✅ 静态文件服务已启用: /static")
+
+        # 添加根路径重定向到前端界面
+        @app.get("/gui", response_class=HTMLResponse)
+        async def serve_gui():
+            """提供前端GUI界面"""
+            index_file = static_dir / "index.html"
+            if index_file.exists():
+                return HTMLResponse(content=index_file.read_text(encoding="utf-8"))
+            else:
+                return HTMLResponse(
+                    content="""
+                <html>
+                    <body>
+                        <h1>前端界面文件未找到</h1>
+                        <p>请确保 static/index.html 文件存在</p>
+                    </body>
+                </html>
+                """
+                )
+    else:
+        logger.warning("静态文件目录不存在，GUI界面将不可用")
+
+        @app.get("/gui", response_class=HTMLResponse)
+        async def no_gui():
+            return HTMLResponse(
+                content="""
+            <html>
+                <body>
+                    <h1>GUI界面未安装</h1>
+                    <p>静态文件目录 'static' 不存在</p>
+                    <p>请创建前端界面文件</p>
+                </body>
+            </html>
+            """
+            )
+
+    # ============= 新增接口：返回protobuf编码后的AI请求字节 =============
+    @app.post("/api/warp/encode_raw")
+    async def encode_ai_request_raw(
+        request: EncodeRequest,
+        output: str = Query(
+            "raw",
+            description="输出格式：raw(默认，返回application/x-protobuf字节) 或 base64",
+            regex=r"^(raw|base64)$",
+        ),
+    ):
+        try:
+            # 获取实际数据并验证
+            actual_data = request.get_data()
+            if not actual_data:
+                raise HTTPException(400, "数据包不能为空")
+
+            # 在 encode 之前，对 mcp_context.tools[*].input_schema 做一次安全清理
+            if isinstance(actual_data, dict):
+                wrapped = {"json_data": actual_data}
+                wrapped = sanitize_mcp_input_schema_in_packet(wrapped)
+                actual_data = wrapped.get("json_data", actual_data)
+
+            # 将 server_message_data 对象（如有）编码为 Base64URL 字符串
+            actual_data = _encode_smd_inplace(actual_data)
+
+            # 编码为protobuf字节
+            protobuf_bytes = dict_to_protobuf_bytes(actual_data, request.message_type)
+            logger.info(f"✅ AI请求编码为protobuf成功: {len(protobuf_bytes)} 字节")
+
+            if output == "raw":
+                # 直接返回二进制 protobuf 内容
+                return Response(
+                    content=protobuf_bytes,
+                    media_type="application/x-protobuf",
+                    headers={"Content-Length": str(len(protobuf_bytes))},
+                )
+            else:
+                # 返回base64文本，便于在JSON中传输/调试
+                import base64
+
+                return {
+                    "protobuf_base64": base64.b64encode(protobuf_bytes).decode("utf-8"),
+                    "size": len(protobuf_bytes),
+                    "message_type": request.message_type,
+                }
+        except HTTPException:
+            raise
+        except Exception as e:
+            logger.error(f"❌ AI请求编码失败: {e}")
+            raise HTTPException(500, f"编码失败: {str(e)}")
+
+    # ============= OpenAI 兼容：模型列表接口 =============
+    @app.get("/v1/models")
+    async def list_models():
+        """OpenAI-compatible endpoint that lists available models."""
+        try:
+            models = get_all_unique_models()
+            return {"object": "list", "data": models}
+        except Exception as e:
+            logger.error(f"❌ 获取模型列表失败: {e}")
+            raise HTTPException(500, f"获取模型列表失败: {str(e)}")
+
+    return app
+
+
+############################################################
+# server_message_data 深度编解码工具
+############################################################
+
+# 说明：
+# 根据抓包与分析，server_message_data 是 Base64URL 编码的 proto3 消息：
+#   - 字段 1：string（通常为 36 字节 UUID）
+#   - 字段 3：google.protobuf.Timestamp（字段1=seconds，字段2=nanos）
+# 可能出现：仅 Timestamp、仅 UUID、或 UUID + Timestamp。
+
+try:
+    from zoneinfo import ZoneInfo  # Python 3.9+
+except Exception:
+    ZoneInfo = None  # type: ignore
+
+
+def _b64url_decode_padded(s: str) -> bytes:
+    t = s.replace("-", "+").replace("_", "/")
+    pad = (-len(t)) % 4
+    if pad:
+        t += "=" * pad
+    return base64.b64decode(t)
+
+
+def _b64url_encode_nopad(b: bytes) -> str:
+    return base64.urlsafe_b64encode(b).decode("ascii").rstrip("=")
+
+
+def _read_varint(buf: bytes, i: int) -> Tuple[int, int]:
+    shift = 0
+    val = 0
+    while i < len(buf):
+        b = buf[i]
+        i += 1
+        val |= (b & 0x7F) << shift
+        if not (b & 0x80):
+            return val, i
+        shift += 7
+        if shift > 63:
+            break
+    raise ValueError("invalid varint")
+
+
+def _write_varint(v: int) -> bytes:
+    out = bytearray()
+    vv = int(v)
+    while True:
+        to_write = vv & 0x7F
+        vv >>= 7
+        if vv:
+            out.append(to_write | 0x80)
+        else:
+            out.append(to_write)
+            break
+    return bytes(out)
+
+
+def _make_key(field_no: int, wire_type: int) -> bytes:
+    return _write_varint((field_no << 3) | wire_type)
+
+
+def _decode_timestamp(buf: bytes) -> Tuple[Optional[int], Optional[int]]:
+    # google.protobuf.Timestamp: field 1 = seconds (int64 varint), field 2 = nanos (int32 varint)
+    i = 0
+    seconds: Optional[int] = None
+    nanos: Optional[int] = None
+    while i < len(buf):
+        key, i = _read_varint(buf, i)
+        field_no = key >> 3
+        wt = key & 0x07
+        if wt == 0:  # varint
+            val, i = _read_varint(buf, i)
+            if field_no == 1:
+                seconds = int(val)
+            elif field_no == 2:
+                nanos = int(val)
+        elif wt == 2:  # length-delimited (not expected inside Timestamp)
+            ln, i2 = _read_varint(buf, i)
+            i = i2 + ln
+        elif wt == 1:
+            i += 8
+        elif wt == 5:
+            i += 4
+        else:
+            break
+    return seconds, nanos
+
+
+def _encode_timestamp(seconds: Optional[int], nanos: Optional[int]) -> bytes:
+    parts = bytearray()
+    if seconds is not None:
+        parts += _make_key(1, 0)  # field 1, varint
+        parts += _write_varint(int(seconds))
+    if nanos is not None:
+        parts += _make_key(2, 0)  # field 2, varint
+        parts += _write_varint(int(nanos))
+    return bytes(parts)
+
+
+def decode_server_message_data(b64url: str) -> Dict:
+    """解码 Base64URL 的 server_message_data，返回结构化信息。"""
+    try:
+        raw = _b64url_decode_padded(b64url)
+    except Exception as e:
+        return {"error": f"base64url decode failed: {e}", "raw_b64url": b64url}
+
+    i = 0
+    uuid: Optional[str] = None
+    seconds: Optional[int] = None
+    nanos: Optional[int] = None
+
+    while i < len(raw):
+        key, i = _read_varint(raw, i)
+        field_no = key >> 3
+        wt = key & 0x07
+        if wt == 2:  # length-delimited
+            ln, i2 = _read_varint(raw, i)
+            i = i2
+            data = raw[i : i + ln]
+            i += ln
+            if field_no == 1:  # uuid string
+                try:
+                    uuid = data.decode("utf-8")
+                except Exception:
+                    uuid = None
+            elif field_no == 3:  # google.protobuf.Timestamp
+                seconds, nanos = _decode_timestamp(data)
+        elif wt == 0:  # varint -> not expected, skip
+            _, i = _read_varint(raw, i)
+        elif wt == 1:
+            i += 8
+        elif wt == 5:
+            i += 4
+        else:
+            break
+
+    out: Dict[str, Any] = {}
+    if uuid is not None:
+        out["uuid"] = uuid
+    if seconds is not None:
+        out["seconds"] = seconds
+    if nanos is not None:
+        out["nanos"] = nanos
+    return out
+
+
+def encode_server_message_data(
+    uuid: Optional[str] = None,
+    seconds: Optional[int] = None,
+    nanos: Optional[int] = None,
+) -> str:
+    """将 uuid/seconds/nanos 组合编码为 Base64URL 字符串。"""
+    parts = bytearray()
+    if uuid:
+        b = uuid.encode("utf-8")
+        parts += _make_key(1, 2)  # field 1, length-delimited
+        parts += _write_varint(len(b))
+        parts += b
+
+    if seconds is not None or nanos is not None:
+        ts = _encode_timestamp(seconds, nanos)
+        parts += _make_key(3, 2)  # field 3, length-delimited
+        parts += _write_varint(len(ts))
+        parts += ts
+
+    return _b64url_encode_nopad(bytes(parts))
+
+
+async def startup_tasks():
+    """启动时执行的任务"""
+    logger.info("=" * 60)
+    logger.info("Warp Protobuf编解码服务器启动")
+    logger.info("=" * 60)
+
+    # 检查protobuf运行时
+    try:
+        from warp2protobuf.core.protobuf import ensure_proto_runtime
+
+        ensure_proto_runtime()
+        logger.info("✅ Protobuf运行时初始化成功")
+    except Exception as e:
+        logger.error(f"❌ Protobuf运行时初始化失败: {e}")
+        raise
+
+    # 检查JWT token
+    try:
+        from warp2protobuf.core.auth import get_jwt_token, is_token_expired
+
+        token = get_jwt_token()
+        if token and not is_token_expired(token):
+            logger.info("✅ JWT token有效")
+        elif not token:
+            logger.warning("⚠️ 未找到JWT token，尝试申请匿名访问token用于额度初始化…")
+            try:
+                new_token = await acquire_anonymous_access_token()
+                if new_token:
+                    logger.info("✅ 匿名访问token申请成功")
+                else:
+                    logger.warning("⚠️ 匿名访问token申请失败")
+            except Exception as e2:
+                logger.warning(f"⚠️ 匿名访问token申请异常: {e2}")
+        else:
+            logger.warning("⚠️ JWT token无效或已过期，建议运行: uv run refresh_jwt.py")
+    except Exception as e:
+        logger.warning(f"⚠️ JWT检查失败: {e}")
+
+    # 如需 OpenAI 兼容层，请单独运行 src/openai_compat_server.py
+
+    # 显示可用端点
+    logger.info("-" * 40)
+    logger.info("可用的API端点:")
+    logger.info("  GET  /                   - 服务信息")
+    logger.info("  GET  /healthz            - 健康检查")
+    logger.info("  GET  /gui                - Web GUI界面")
+    logger.info("  POST /api/encode         - JSON -> Protobuf编码")
+    logger.info("  POST /api/decode         - Protobuf -> JSON解码")
+    logger.info("  POST /api/stream-decode  - 流式protobuf解码")
+    logger.info("  POST /api/warp/send      - JSON -> Protobuf -> Warp API转发")
+    logger.info(
+        "  POST /api/warp/send_stream - JSON -> Protobuf -> Warp API转发(返回解析事件)"
+    )
+    logger.info(
+        "  POST /api/warp/send_stream_sse - JSON -> Protobuf -> Warp API转发(实时SSE，事件已解析)"
+    )
+    logger.info("  POST /api/warp/graphql/* - GraphQL请求转发到Warp API（带鉴权）")
+    logger.info("  GET  /api/schemas        - Protobuf schema信息")
+    logger.info("  GET  /api/auth/status    - JWT认证状态")
+    logger.info("  POST /api/auth/refresh   - 刷新JWT token")
+    logger.info("  GET  /api/auth/user_id   - 获取当前用户ID")
+    logger.info("  GET  /api/packets/history - 数据包历史记录")
+    logger.info("  WS   /ws                 - WebSocket实时监控")
+    logger.info("-" * 40)
+    logger.info("测试命令:")
+    logger.info("  uv run main.py --test basic    - 运行基础测试")
+    logger.info("  uv run main.py --list          - 查看所有测试场景")
+    logger.info("=" * 60)
+
+
+def main():
+    """主函数"""
+    # 创建应用
+    app = create_app()
+
+    # 启动服务器
+    try:
+        uvicorn.run(app, host="0.0.0.0", port=8000, log_level="info", access_log=True)
+    except KeyboardInterrupt:
+        logger.info("服务器被用户停止")
+    except Exception as e:
+        logger.error(f"服务器启动失败: {e}")
+        raise
+
+
+if __name__ == "__main__":
+    main()

start.py

@@ -0,0 +1,38 @@
+from __future__ import annotations
+import asyncio
+import os
+import threading
+from protobuf2openai.app import app as openai_server  # FastAPI app
+from server import create_app, startup_tasks
+import uvicorn
+
+
+async def main():
+    # 在后台线程启动 warp server
+    warp_app = create_app()
+    await startup_tasks()
+    
+    # 启动 warp server 的后台线程
+    warp_thread = threading.Thread(
+        target=uvicorn.run,
+        args=(warp_app,),
+        kwargs={"host": "0.0.0.0", "port": 8000, "log_level": "info", "access_log": True},
+        daemon=True
+    )
+    warp_thread.start()
+    
+    try:
+        from warp2protobuf.core.auth import refresh_jwt_if_needed as _refresh_jwt
+        await _refresh_jwt()
+    except Exception:
+        pass
+    
+
+if __name__ == "__main__":
+    asyncio.run(main())
+    uvicorn.run(
+        openai_server,
+        host=os.getenv("HOST", "127.0.0.1"),
+        port=int(os.getenv("PORT", "8010")),
+        log_level="info",
+    )

uv.lock

@@ -0,0 +1,863 @@
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warp2protobuf/__init__.py

@@ -0,0 +1,4 @@
+# Re-exported compatibility package for legacy src.* modules
+# This package proxies to existing code under src to enable gradual migration.
+
+__all__ = [] 

warp2protobuf/api/__init__.py

@@ -0,0 +1,3 @@
+# API subpackage for warp2protobuf
+
+__all__ = [] 

warp2protobuf/api/protobuf_routes.py

@@ -0,0 +1,623 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Protobuf编解码API路由
+
+提供纯protobuf数据包编解码服务，包括JWT管理和WebSocket支持。
+"""
+import json
+import base64
+import asyncio
+import httpx
+from typing import Any, Dict, List, Optional
+from datetime import datetime
+
+from fastapi import FastAPI, Request, HTTPException, WebSocket, WebSocketDisconnect, Query
+from fastapi.responses import JSONResponse
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+
+from ..core.logging import logger
+from ..core.protobuf_utils import protobuf_to_dict, dict_to_protobuf_bytes
+from ..core.auth import get_jwt_token, refresh_jwt_if_needed, is_token_expired, get_valid_jwt, acquire_anonymous_access_token
+from ..core.stream_processor import get_stream_processor, set_websocket_manager
+from ..config.models import get_all_unique_models
+from ..config.settings import CLIENT_VERSION, OS_CATEGORY, OS_NAME, OS_VERSION, WARP_URL as CONFIG_WARP_URL
+from ..core.server_message_data import decode_server_message_data, encode_server_message_data
+
+
+def _encode_smd_inplace(obj: Any) -> Any:
+    if isinstance(obj, dict):
+        new_d = {}
+        for k, v in obj.items():
+            if k in ("server_message_data", "serverMessageData") and isinstance(v, dict):
+                try:
+                    b64 = encode_server_message_data(
+                        uuid=v.get("uuid"),
+                        seconds=v.get("seconds"),
+                        nanos=v.get("nanos"),
+                    )
+                    new_d[k] = b64
+                except Exception:
+                    new_d[k] = v
+            else:
+                new_d[k] = _encode_smd_inplace(v)
+        return new_d
+    elif isinstance(obj, list):
+        return [_encode_smd_inplace(x) for x in obj]
+    else:
+        return obj
+
+
+def _decode_smd_inplace(obj: Any) -> Any:
+    if isinstance(obj, dict):
+        new_d = {}
+        for k, v in obj.items():
+            if k in ("server_message_data", "serverMessageData") and isinstance(v, str):
+                try:
+                    dec = decode_server_message_data(v)
+                    new_d[k] = dec
+                except Exception:
+                    new_d[k] = v
+            else:
+                new_d[k] = _decode_smd_inplace(v)
+        return new_d
+    elif isinstance(obj, list):
+        return [_decode_smd_inplace(x) for x in obj]
+    else:
+        return obj
+from ..core.schema_sanitizer import sanitize_mcp_input_schema_in_packet
+
+
+class EncodeRequest(BaseModel):
+    json_data: Optional[Dict[str, Any]] = None
+    message_type: str = "warp.multi_agent.v1.Request"
+    
+    task_context: Optional[Dict[str, Any]] = None
+    input: Optional[Dict[str, Any]] = None
+    settings: Optional[Dict[str, Any]] = None
+    metadata: Optional[Dict[str, Any]] = None
+    mcp_context: Optional[Dict[str, Any]] = None
+    existing_suggestions: Optional[Dict[str, Any]] = None
+    client_version: Optional[str] = None
+    os_category: Optional[str] = None
+    os_name: Optional[str] = None
+    os_version: Optional[str] = None
+    
+    class Config:
+        extra = "allow"
+    
+    def get_data(self) -> Dict[str, Any]:
+        if self.json_data is not None:
+            return self.json_data
+        else:
+            data: Dict[str, Any] = {}
+            if self.task_context is not None:
+                data["task_context"] = self.task_context
+            if self.input is not None:
+                data["input"] = self.input
+            if self.settings is not None:
+                data["settings"] = self.settings
+            if self.metadata is not None:
+                data["metadata"] = self.metadata
+            if self.mcp_context is not None:
+                data["mcp_context"] = self.mcp_context
+            if self.existing_suggestions is not None:
+                data["existing_suggestions"] = self.existing_suggestions
+            if self.client_version is not None:
+                data["client_version"] = self.client_version
+            if self.os_category is not None:
+                data["os_category"] = self.os_category
+            if self.os_name is not None:
+                data["os_name"] = self.os_name
+            if self.os_version is not None:
+                data["os_version"] = self.os_version
+            
+            skip_keys = {
+                "json_data", "message_type", "task_context", "input", "settings", "metadata",
+                "mcp_context", "existing_suggestions", "client_version", "os_category", "os_name", "os_version"
+            }
+            try:
+                for k, v in self.__dict__.items():
+                    if v is None:
+                        continue
+                    if k in skip_keys:
+                        continue
+                    if k not in data:
+                        data[k] = v
+            except Exception:
+                pass
+            return data
+
+
+class DecodeRequest(BaseModel):
+    protobuf_bytes: str
+    message_type: str = "warp.multi_agent.v1.Request"
+
+
+class StreamDecodeRequest(BaseModel):
+    protobuf_chunks: List[str]
+    message_type: str = "warp.multi_agent.v1.Response"
+
+
+class ConnectionManager:
+    def __init__(self):
+        self.active_connections: List[WebSocket] = []
+        self.packet_history: List[Dict] = []
+    
+    async def connect(self, websocket: WebSocket):
+        await websocket.accept()
+        self.active_connections.append(websocket)
+        logger.info(f"WebSocket连接建立，当前连接数: {len(self.active_connections)}")
+    
+    def disconnect(self, websocket: WebSocket):
+        if websocket in self.active_connections:
+            self.active_connections.remove(websocket)
+        logger.info(f"WebSocket连接断开，当前连接数: {len(self.active_connections)}")
+    
+    async def broadcast(self, message: Dict):
+        if not self.active_connections:
+            return
+        
+        disconnected = []
+        for connection in self.active_connections:
+            try:
+                await connection.send_json(message)
+            except Exception as e:
+                logger.warning(f"发送WebSocket消息失败: {e}")
+                disconnected.append(connection)
+        for conn in disconnected:
+            self.disconnect(conn)
+    
+    async def log_packet(self, packet_type: str, data: Dict, size: int):
+        packet_info = {
+            "timestamp": datetime.now().isoformat(),
+            "type": packet_type,
+            "size": size,
+            "data_preview": str(data)[:200] + "..." if len(str(data)) > 200 else str(data),
+            "full_data": data
+        }
+        
+        self.packet_history.append(packet_info)
+        if len(self.packet_history) > 100:
+            self.packet_history = self.packet_history[-100:]
+        
+        await self.broadcast({"event": "packet_captured", "packet": packet_info})
+
+
+manager = ConnectionManager()
+set_websocket_manager(manager)
+
+app = FastAPI(title="Warp Protobuf编解码服务器", version="1.0.0")
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+@app.get("/")
+async def root():
+    return {"message": "Warp Protobuf编解码服务器", "version": "1.0.0"}
+
+
+@app.get("/healthz")
+async def health_check():
+    return {"status": "ok", "timestamp": datetime.now().isoformat()}
+
+
+@app.post("/api/encode")
+async def encode_json_to_protobuf(request: EncodeRequest):
+    try:
+        logger.info(f"收到编码请求，消息类型: {request.message_type}")
+        actual_data = request.get_data()
+        if not actual_data:
+            raise HTTPException(400, "数据包不能为空")
+        wrapped = {"json_data": actual_data}
+        wrapped = sanitize_mcp_input_schema_in_packet(wrapped)
+        actual_data = wrapped.get("json_data", actual_data)
+        actual_data = _encode_smd_inplace(actual_data)
+        protobuf_bytes = dict_to_protobuf_bytes(actual_data, request.message_type)
+        try:
+            await manager.log_packet("encode", actual_data, len(protobuf_bytes))
+        except Exception as log_error:
+            logger.warning(f"数据包记录失败: {log_error}")
+        result = {
+            "protobuf_bytes": base64.b64encode(protobuf_bytes).decode('utf-8'),
+            "size": len(protobuf_bytes),
+            "message_type": request.message_type
+        }
+        logger.info(f"✅ JSON编码为protobuf成功: {len(protobuf_bytes)} 字节")
+        return result
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"❌ JSON编码失败: {e}")
+        raise HTTPException(500, f"编码失败: {str(e)}")
+
+
+@app.post("/api/decode")
+async def decode_protobuf_to_json(request: DecodeRequest):
+    try:
+        logger.info(f"收到解码请求，消息类型: {request.message_type}")
+        if not request.protobuf_bytes or not request.protobuf_bytes.strip():
+            raise HTTPException(400, "Protobuf数据不能为空")
+        try:
+            protobuf_bytes = base64.b64decode(request.protobuf_bytes)
+        except Exception as decode_error:
+            logger.error(f"Base64解码失败: {decode_error}")
+            raise HTTPException(400, f"Base64解码失败: {str(decode_error)}")
+        if not protobuf_bytes:
+            raise HTTPException(400, "解码后的protobuf数据为空")
+        json_data = protobuf_to_dict(protobuf_bytes, request.message_type)
+        try:
+            await manager.log_packet("decode", json_data, len(protobuf_bytes))
+        except Exception as log_error:
+            logger.warning(f"数据包记录失败: {log_error}")
+        result = {"json_data": json_data, "size": len(protobuf_bytes), "message_type": request.message_type}
+        logger.info(f"✅ Protobuf解码为JSON成功: {len(protobuf_bytes)} 字节")
+        return result
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"❌ Protobuf解码失败: {e}")
+        raise HTTPException(500, f"解码失败: {e}")
+
+
+@app.post("/api/stream-decode")
+async def decode_stream_protobuf(request: StreamDecodeRequest):
+    try:
+        logger.info(f"收到流式解码请求，数据块数量: {len(request.protobuf_chunks)}")
+        results = []
+        total_size = 0
+        for i, chunk_b64 in enumerate(request.protobuf_chunks):
+            try:
+                chunk_bytes = base64.b64decode(chunk_b64)
+                chunk_json = protobuf_to_dict(chunk_bytes, request.message_type)
+                chunk_result = {"chunk_index": i, "json_data": chunk_json, "size": len(chunk_bytes)}
+                results.append(chunk_result)
+                total_size += len(chunk_bytes)
+                await manager.log_packet(f"stream_decode_chunk_{i}", chunk_json, len(chunk_bytes))
+            except Exception as e:
+                logger.warning(f"数据块 {i} 解码失败: {e}")
+                results.append({"chunk_index": i, "error": str(e), "size": 0})
+        try:
+            all_bytes = b''.join([base64.b64decode(chunk) for chunk in request.protobuf_chunks])
+            complete_json = protobuf_to_dict(all_bytes, request.message_type)
+            await manager.log_packet("stream_decode_complete", complete_json, len(all_bytes))
+            complete_result = {"json_data": complete_json, "size": len(all_bytes)}
+        except Exception as e:
+            complete_result = {"error": f"无法拼接完整消息: {e}", "size": total_size}
+        result = {"chunks": results, "complete": complete_result, "total_chunks": len(request.protobuf_chunks), "total_size": total_size, "message_type": request.message_type}
+        logger.info(f"✅ 流式protobuf解码完成: {len(request.protobuf_chunks)} 块，总大小 {total_size} 字节")
+        return result
+    except Exception as e:
+        logger.error(f"❌ 流式protobuf解码失败: {e}")
+        raise HTTPException(500, f"流式解码失败: {e}")
+
+
+@app.get("/api/schemas")
+async def get_protobuf_schemas():
+    try:
+        from ..core.protobuf import ensure_proto_runtime, ALL_MSGS, msg_cls
+        ensure_proto_runtime()
+        schemas = []
+        for msg_name in ALL_MSGS:
+            try:
+                MessageClass = msg_cls(msg_name)
+                descriptor = MessageClass.DESCRIPTOR
+                fields = []
+                for field in descriptor.fields:
+                    fields.append({"name": field.name, "type": field.type, "label": getattr(field, 'label', None), "number": field.number})
+                schemas.append({"name": msg_name, "full_name": descriptor.full_name, "field_count": len(fields), "fields": fields[:10]})
+            except Exception as e:
+                logger.warning(f"获取schema {msg_name} 信息失败: {e}")
+        result = {"schemas": schemas, "total_count": len(schemas), "message": f"找到 {len(schemas)} 个protobuf消息类型"}
+        logger.info(f"✅ 返回 {len(schemas)} 个protobuf schema")
+        return result
+    except Exception as e:
+        logger.error(f"❌ 获取protobuf schemas失败: {e}")
+        raise HTTPException(500, f"获取schemas失败: {e}")
+
+
+@app.get("/api/auth/status")
+async def get_auth_status():
+    try:
+        jwt_token = get_jwt_token()
+        if not jwt_token:
+            return {"authenticated": False, "message": "未找到JWT token", "suggestion": "运行 'uv run refresh_jwt.py' 获取token"}
+        is_expired = is_token_expired(jwt_token)
+        result = {"authenticated": not is_expired, "token_present": True, "token_expired": is_expired, "token_preview": f"{jwt_token[:20]}...{jwt_token[-10:]}", "message": "Token有效" if not is_expired else "Token已过期"}
+        if is_expired:
+            result["suggestion"] = "运行 'uv run refresh_jwt.py' 刷新token"
+        return result
+    except Exception as e:
+        logger.error(f"❌ 获取认证状态失败: {e}")
+        raise HTTPException(500, f"获取认证状态失败: {e}")
+
+
+@app.post("/api/auth/refresh")
+async def refresh_auth_token():
+    try:
+        success = await refresh_jwt_if_needed()
+        if success:
+            return {"success": True, "message": "JWT token刷新成功", "timestamp": datetime.now().isoformat()}
+        else:
+            return {"success": False, "message": "JWT token刷新失败", "suggestion": "检查网络连接或手动运行 'uv run refresh_jwt.py'"}
+    except Exception as e:
+        logger.error(f"❌ 刷新JWT token失败: {e}")
+        raise HTTPException(500, f"刷新token失败: {e}")
+
+
+@app.get("/api/auth/user_id")
+async def get_user_id_endpoint():
+    try:
+        from ..core.auth import get_user_id
+        user_id = get_user_id()
+        if user_id:
+            return {"success": True, "user_id": user_id, "message": "User ID获取成功"}
+        else:
+            return {"success": False, "user_id": "", "message": "未找到User ID，可能需要刷新JWT token"}
+    except Exception as e:
+        logger.error(f"❌ 获取User ID失败: {e}")
+        raise HTTPException(500, f"获取User ID失败: {e}")
+
+
+@app.get("/api/packets/history")
+async def get_packet_history(limit: int = 50):
+    try:
+        history = manager.packet_history[-limit:] if len(manager.packet_history) > limit else manager.packet_history
+        return {"packets": history, "total_count": len(manager.packet_history), "returned_count": len(history)}
+    except Exception as e:
+        logger.error(f"❌ 获取数据包历史失败: {e}")
+        raise HTTPException(500, f"获取历史记录失败: {e}")
+
+
+@app.post("/api/warp/send")
+async def send_to_warp_api(
+    request: EncodeRequest, 
+    show_all_events: bool = Query(True, description="Show detailed SSE event breakdown")
+):
+    try:
+        logger.info(f"收到Warp API发送请求，消息类型: {request.message_type}")
+        actual_data = request.get_data()
+        if not actual_data:
+            raise HTTPException(400, "数据包不能为空")
+        wrapped = {"json_data": actual_data}
+        wrapped = sanitize_mcp_input_schema_in_packet(wrapped)
+        actual_data = wrapped.get("json_data", actual_data)
+        actual_data = _encode_smd_inplace(actual_data)
+        protobuf_bytes = dict_to_protobuf_bytes(actual_data, request.message_type)
+        logger.info(f"✅ JSON编码为protobuf成功: {len(protobuf_bytes)} 字节")
+        from ..warp.api_client import send_protobuf_to_warp_api
+        response_text, conversation_id, task_id = await send_protobuf_to_warp_api(protobuf_bytes, show_all_events=show_all_events)
+        await manager.log_packet("warp_request", actual_data, len(protobuf_bytes))
+        await manager.log_packet("warp_response", {"response": response_text, "conversation_id": conversation_id, "task_id": task_id}, len(response_text.encode()))
+        result = {"response": response_text, "conversation_id": conversation_id, "task_id": task_id, "request_size": len(protobuf_bytes), "response_size": len(response_text), "message_type": request.message_type}
+        logger.info(f"✅ Warp API调用成功，响应长度: {len(response_text)} 字符")
+        return result
+    except Exception as e:
+        import traceback
+        error_details = {"error": str(e), "error_type": type(e).__name__, "traceback": traceback.format_exc(), "request_info": {"message_type": request.message_type, "json_size": len(str(actual_data)), "has_tools": "mcp_context" in actual_data, "has_history": "task_context" in actual_data}}
+        logger.error(f"❌ Warp API调用失败: {e}")
+        logger.error(f"错误详情: {error_details}")
+        try:
+            await manager.log_packet("warp_error", error_details, 0)
+        except Exception as log_error:
+            logger.warning(f"记录错误失败: {log_error}")
+        raise HTTPException(500, detail=error_details)
+
+
+@app.post("/api/warp/send_stream")
+async def send_to_warp_api_parsed(
+    request: EncodeRequest
+):
+    try:
+        logger.info(f"收到Warp API解析发送请求，消息类型: {request.message_type}")
+        actual_data = request.get_data()
+        if not actual_data:
+            raise HTTPException(400, "数据包不能为空")
+        wrapped = {"json_data": actual_data}
+        wrapped = sanitize_mcp_input_schema_in_packet(wrapped)
+        actual_data = wrapped.get("json_data", actual_data)
+        actual_data = _encode_smd_inplace(actual_data)
+        protobuf_bytes = dict_to_protobuf_bytes(actual_data, request.message_type)
+        logger.info(f"✅ JSON编码为protobuf成功: {len(protobuf_bytes)} 字节")
+        from ..warp.api_client import send_protobuf_to_warp_api_parsed
+        response_text, conversation_id, task_id, parsed_events = await send_protobuf_to_warp_api_parsed(protobuf_bytes)
+        parsed_events = _decode_smd_inplace(parsed_events)
+        await manager.log_packet("warp_request_parsed", actual_data, len(protobuf_bytes))
+        response_data = {"response": response_text, "conversation_id": conversation_id, "task_id": task_id, "parsed_events": parsed_events}
+        await manager.log_packet("warp_response_parsed", response_data, len(str(response_data)))
+        result = {"response": response_text, "conversation_id": conversation_id, "task_id": task_id, "request_size": len(protobuf_bytes), "response_size": len(response_text), "message_type": request.message_type, "parsed_events": parsed_events, "events_count": len(parsed_events), "events_summary": {}}
+        if parsed_events:
+            event_type_counts = {}
+            for event in parsed_events:
+                event_type = event.get("event_type", "UNKNOWN")
+                event_type_counts[event_type] = event_type_counts.get(event_type, 0) + 1
+            result["events_summary"] = event_type_counts
+        logger.info(f"✅ Warp API解析调用成功，响应长度: {len(response_text)} 字符，事件数量: {len(parsed_events)}")
+        return result
+    except Exception as e:
+        import traceback
+        error_details = {"error": str(e), "error_type": type(e).__name__, "traceback": traceback.format_exc(), "request_info": {"message_type": request.message_type, "json_size": len(str(actual_data)) if 'actual_data' in locals() else 0, "has_tools": "mcp_context" in (actual_data or {}), "has_history": "task_context" in (actual_data or {})}}
+        logger.error(f"❌ Warp API解析调用失败: {e}")
+        logger.error(f"错误详情: {error_details}")
+        try:
+            await manager.log_packet("warp_error_parsed", error_details, 0)
+        except Exception as log_error:
+            logger.warning(f"记录错误失败: {log_error}")
+        raise HTTPException(500, detail=error_details)
+
+
+@app.post("/api/warp/send_stream_sse")
+async def send_to_warp_api_stream_sse(request: EncodeRequest):
+    from fastapi.responses import StreamingResponse
+    import os as _os
+    import re as _re
+    try:
+        actual_data = request.get_data()
+        if not actual_data:
+            raise HTTPException(400, "数据包不能为空")
+        wrapped = {"json_data": actual_data}
+        wrapped = sanitize_mcp_input_schema_in_packet(wrapped)
+        actual_data = wrapped.get("json_data", actual_data)
+        actual_data = _encode_smd_inplace(actual_data)
+        protobuf_bytes = dict_to_protobuf_bytes(actual_data, request.message_type)
+        async def _agen():
+            warp_url = CONFIG_WARP_URL
+            def _parse_payload_bytes(data_str: str):
+                s = _re.sub(r"\s+", "", data_str or "")
+                if not s:
+                    return None
+                if _re.fullmatch(r"[0-9a-fA-F]+", s or ""):
+                    try:
+                        return bytes.fromhex(s)
+                    except Exception:
+                        pass
+                pad = "=" * ((4 - (len(s) % 4)) % 4)
+                try:
+                    import base64 as _b64
+                    return _b64.urlsafe_b64decode(s + pad)
+                except Exception:
+                    try:
+                        return _b64.b64decode(s + pad)
+                    except Exception:
+                        return None
+            verify_opt = True
+            insecure_env = _os.getenv("WARP_INSECURE_TLS", "").lower()
+            if insecure_env in ("1", "true", "yes"):
+                verify_opt = False
+                logger.warning("TLS verification disabled via WARP_INSECURE_TLS for Warp API stream endpoint")
+            async with httpx.AsyncClient(http2=True, timeout=httpx.Timeout(60.0), verify=verify_opt, trust_env=True) as client:
+                # 最多尝试两次：第一次失败且为配额429时申请匿名token并重试一次
+                jwt = None
+                for attempt in range(2):
+                    if attempt == 0 or jwt is None:
+                        jwt = await get_valid_jwt()
+                    headers = {
+                        "accept": "text/event-stream",
+                        "content-type": "application/x-protobuf",
+                        "x-warp-client-version": CLIENT_VERSION,
+                        "x-warp-os-category": OS_CATEGORY,
+                        "x-warp-os-name": OS_NAME,
+                        "x-warp-os-version": OS_VERSION,
+                        "authorization": f"Bearer {jwt}",
+                        "content-length": str(len(protobuf_bytes)),
+                    }
+                    async with client.stream("POST", warp_url, headers=headers, content=protobuf_bytes) as response:
+                        if response.status_code != 200:
+                            error_text = await response.aread()
+                            error_content = error_text.decode("utf-8") if error_text else ""
+                            # 429 且包含配额信息时，申请匿名token后重试一次
+                            if response.status_code == 429 and attempt == 0 and (
+                                ("No remaining quota" in error_content) or ("No AI requests remaining" in error_content)
+                            ):
+                                logger.warning("Warp API 返回 429 (配额用尽, SSE 代理)。尝试申请匿名token并重试一次…")
+                                try:
+                                    new_jwt = await acquire_anonymous_access_token()
+                                except Exception:
+                                    new_jwt = None
+                                if new_jwt:
+                                    jwt = new_jwt
+                                    # 重试
+                                    continue
+                            logger.error(f"Warp API HTTP error {response.status_code}: {error_content[:300]}")
+                            yield f"data: {{\"error\": \"HTTP {response.status_code}\"}}\n\n"
+                            yield "data: [DONE]\n\n"
+                            return
+                        try:
+                            logger.info(f"✅ Warp API SSE连接已建立: {warp_url}")
+                            logger.info(f"📦 请求字节数: {len(protobuf_bytes)}")
+                        except Exception:
+                            pass
+                        current_data = ""
+                        event_no = 0
+                        async for line in response.aiter_lines():
+                            if line.startswith("data:"):
+                                payload = line[5:].strip()
+                                if not payload:
+                                    continue
+                                if payload == "[DONE]":
+                                    break
+                                current_data += payload
+                                continue
+                            if (line.strip() == "") and current_data:
+                                raw_bytes = _parse_payload_bytes(current_data)
+                                current_data = ""
+                                if raw_bytes is None:
+                                    continue
+                                try:
+                                    event_data = protobuf_to_dict(raw_bytes, "warp.multi_agent.v1.ResponseEvent")
+                                except Exception:
+                                    continue
+                                def _get(d: Dict[str, Any], *names: str) -> Any:
+                                    for n in names:
+                                        if isinstance(d, dict) and n in d:
+                                            return d[n]
+                                    return None
+                                event_type = "UNKNOWN_EVENT"
+                                if isinstance(event_data, dict):
+                                    if "init" in event_data:
+                                        event_type = "INITIALIZATION"
+                                    else:
+                                        client_actions = _get(event_data, "client_actions", "clientActions")
+                                        if isinstance(client_actions, dict):
+                                            actions = _get(client_actions, "actions", "Actions") or []
+                                            event_type = f"CLIENT_ACTIONS({len(actions)})" if actions else "CLIENT_ACTIONS_EMPTY"
+                                        elif "finished" in event_data:
+                                            event_type = "FINISHED"
+                                event_no += 1
+                                try:
+                                    logger.info(f"🔄 SSE Event #{event_no}: {event_type}")
+                                except Exception:
+                                    pass
+                                out = {"event_number": event_no, "event_type": event_type, "parsed_data": event_data}
+                                try:
+                                    chunk = json.dumps(out, ensure_ascii=False)
+                                except Exception:
+                                    continue
+                                yield f"data: {chunk}\n\n"
+                        try:
+                            logger.info("="*60)
+                            logger.info("📊 SSE STREAM SUMMARY (代理)")
+                            logger.info("="*60)
+                            logger.info(f"📈 Total Events Forwarded: {event_no}")
+                            logger.info("="*60)
+                        except Exception:
+                            pass
+                        yield "data: [DONE]\n\n"
+                        return
+        return StreamingResponse(_agen(), media_type="text/event-stream", headers={"Cache-Control": "no-cache", "Connection": "keep-alive"})
+    except HTTPException:
+        raise
+    except Exception as e:
+        import traceback
+        error_details = {"error": str(e), "error_type": type(e).__name__, "traceback": traceback.format_exc()}
+        logger.error(f"Warp SSE转发端点错误: {e}")
+        raise HTTPException(500, detail=error_details)
+
+
+@app.websocket("/ws")
+async def websocket_endpoint(websocket: WebSocket):
+    await manager.connect(websocket)
+    try:
+        await websocket.send_json({"event": "connected", "message": "WebSocket连接已建立", "timestamp": datetime.now().isoformat()})
+        recent_packets = manager.packet_history[-10:]
+        for packet in recent_packets:
+            await websocket.send_json({"event": "packet_history", "packet": packet})
+        while True:
+            data = await websocket.receive_text()
+            logger.debug(f"收���WebSocket消息: {data}")
+    except WebSocketDisconnect:
+        manager.disconnect(websocket)
+    except Exception as e:
+        logger.error(f"WebSocket错误: {e}")
+        manager.disconnect(websocket)
+
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8000) 

warp2protobuf/config/__init__.py

@@ -0,0 +1,3 @@
+# Re-export common config modules
+from .settings import *  # noqa: F401,F403
+from .models import *  # noqa: F401,F403 

warp2protobuf/config/models.py

@@ -0,0 +1,328 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Model configuration and catalog for Warp API
+
+Contains model definitions, configurations, and OpenAI compatibility mappings.
+"""
+import time
+
+
+def get_model_config(model_name: str) -> dict:
+    """
+    Simple model configuration mapping.
+    All models use the same pattern: base model + o3 planning + auto coding
+    """
+    # Known models that map directly
+    known_models = {
+        "claude-4-sonnet", "claude-4-opus", "claude-4.1-opus",
+        "gpt-5", "gpt-4o", "gpt-4.1", "o3", "o4-mini",
+        "gemini-2.5-pro", "warp-basic"
+    }
+
+    model_name = model_name.lower().strip()
+
+    # Use the model name directly if it's known, otherwise use "auto"
+    base_model = model_name if model_name in known_models else "auto"
+
+    return {
+        "base": base_model,
+        "planning": "o3",
+        "coding": "auto"
+    }
+
+
+def get_warp_models():
+    """Get comprehensive list of Warp AI models from packet analysis"""
+    return {
+        "agent_mode": {
+            "default": "auto",
+            "models": [
+                {
+                    "id": "auto",
+                    "display_name": "auto",
+                    "description": "claude 4 sonnet",
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "agent"
+                },
+                {
+                    "id": "warp-basic",
+                    "display_name": "lite",
+                    "description": "basic model",
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "agent"
+                },
+                {
+                    "id": "gpt-5",
+                    "display_name": "gpt-5",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "agent"
+                },
+                {
+                    "id": "claude-4-sonnet",
+                    "display_name": "claude 4 sonnet",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "agent"
+                },
+                {
+                    "id": "claude-4-opus",
+                    "display_name": "claude 4 opus",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "agent"
+                },
+                {
+                    "id": "claude-4.1-opus",
+                    "display_name": "claude 4.1 opus",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "agent"
+                },
+                {
+                    "id": "gpt-4o",
+                    "display_name": "gpt-4o",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "agent"
+                },
+                {
+                    "id": "gpt-4.1",
+                    "display_name": "gpt-4.1",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "agent"
+                },
+                {
+                    "id": "o4-mini",
+                    "display_name": "o4-mini",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "agent"
+                },
+                {
+                    "id": "o3",
+                    "display_name": "o3",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "agent"
+                },
+                {
+                    "id": "gemini-2.5-pro",
+                    "display_name": "gemini 2.5 pro",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "agent"
+                }
+            ]
+        },
+        "planning": {
+            "default": "o3",
+            "models": [
+                {
+                    "id": "warp-basic",
+                    "display_name": "lite",
+                    "description": "basic model",
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "planning"
+                },
+                {
+                    "id": "gpt-5 (high reasoning)",
+                    "display_name": "gpt-5",
+                    "description": "high reasoning",
+                    "vision_supported": False,
+                    "usage_multiplier": 1,
+                    "category": "planning"
+                },
+                {
+                    "id": "claude-4-opus",
+                    "display_name": "claude 4 opus",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "planning"
+                },
+                {
+                    "id": "claude-4.1-opus",
+                    "display_name": "claude 4.1 opus",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "planning"
+                },
+                {
+                    "id": "gpt-4.1",
+                    "display_name": "gpt-4.1",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "planning"
+                },
+                {
+                    "id": "o4-mini",
+                    "display_name": "o4-mini",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "planning"
+                },
+                {
+                    "id": "o3",
+                    "display_name": "o3",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "planning"
+                }
+            ]
+        },
+        "coding": {
+            "default": "auto",
+            "models": [
+                {
+                    "id": "auto",
+                    "display_name": "auto",
+                    "description": "claude 4 sonnet",
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "coding"
+                },
+                {
+                    "id": "warp-basic",
+                    "display_name": "lite",
+                    "description": "basic model",
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "coding"
+                },
+                {
+                    "id": "gpt-5",
+                    "display_name": "gpt-5",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "coding"
+                },
+                {
+                    "id": "claude-4-sonnet",
+                    "display_name": "claude 4 sonnet",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "coding"
+                },
+                {
+                    "id": "claude-4-opus",
+                    "display_name": "claude 4 opus",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "coding"
+                },
+                {
+                    "id": "claude-4.1-opus",
+                    "display_name": "claude 4.1 opus",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "coding"
+                },
+                {
+                    "id": "gpt-4o",
+                    "display_name": "gpt-4o",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "coding"
+                },
+                {
+                    "id": "gpt-4.1",
+                    "display_name": "gpt-4.1",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "coding"
+                },
+                {
+                    "id": "o4-mini",
+                    "display_name": "o4-mini",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "coding"
+                },
+                {
+                    "id": "o3",
+                    "display_name": "o3",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "coding"
+                },
+                {
+                    "id": "gemini-2.5-pro",
+                    "display_name": "gemini 2.5 pro",
+                    "description": None,
+                    "vision_supported": True,
+                    "usage_multiplier": 1,
+                    "category": "coding"
+                }
+            ]
+        }
+    }
+
+
+def get_all_unique_models():
+    """Get all unique models across all categories for OpenAI API compatibility"""
+    try:
+        models_data = get_warp_models()
+        unique_models = {}
+
+        # Collect all unique models across categories
+        for category_data in models_data.values():
+            for model in category_data["models"]:
+                model_id = model["id"]
+                if model_id not in unique_models:
+                    # Create OpenAI-compatible model entry
+                    unique_models[model_id] = {
+                        "id": model_id,
+                        "object": "model",
+                        "created": int(time.time()),
+                        "owned_by": "warp",
+                        "display_name": model["display_name"],
+                        "description": model["description"] or model["display_name"],
+                        "vision_supported": model["vision_supported"],
+                        "usage_multiplier": model["usage_multiplier"],
+                        "categories": [model["category"]]
+                    }
+                else:
+                    # Add category if model appears in multiple categories
+                    if model["category"] not in unique_models[model_id]["categories"]:
+                        unique_models[model_id]["categories"].append(model["category"])
+
+        return list(unique_models.values())
+    except Exception:
+        # Fallback to simple model list
+        return [
+            {
+                "id": "auto",
+                "object": "model",
+                "created": int(time.time()),
+                "owned_by": "warp",
+                "display_name": "auto",
+                "description": "Auto-select best model"
+            }
+        ] 

warp2protobuf/config/settings.py

@@ -0,0 +1,43 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Configuration settings for Warp API server
+
+Contains environment variables, paths, and constants.
+"""
+import os
+import pathlib
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+# Path configurations
+SCRIPT_DIR = pathlib.Path(__file__).resolve().parent.parent.parent
+PROTO_DIR = SCRIPT_DIR / "proto"
+LOGS_DIR = SCRIPT_DIR / "logs"
+
+# API configuration
+WARP_URL = "https://app.warp.dev/ai/multi-agent"
+
+# Environment variables with defaults
+HOST = os.getenv("HOST", "0.0.0.0")
+PORT = int(os.getenv("PORT", "8002"))
+WARP_JWT = os.getenv("WARP_JWT")
+
+# Client headers configuration
+CLIENT_VERSION = "v0.2025.08.06.08.12.stable_02"
+OS_CATEGORY = "Windows"
+OS_NAME = "Windows"
+OS_VERSION = "11 (26100)"
+
+# Protobuf field names for text detection
+TEXT_FIELD_NAMES = ("text", "prompt", "query", "content", "message", "input")
+PATH_HINT_BONUS = ("conversation", "query", "input", "user", "request", "delta")
+
+# Response parsing configuration
+SYSTEM_STR = {"agent_output.text", "server_message_data", "USER_INITIATED", "agent_output", "text"}
+
+# JWT refresh configuration
+REFRESH_TOKEN_B64 = "Z3JhbnRfdHlwZT1yZWZyZXNoX3Rva2VuJnJlZnJlc2hfdG9rZW49QU1mLXZCeFNSbWRodmVHR0JZTTY5cDA1a0RoSW4xaTd3c2NBTEVtQzlmWURScEh6akVSOWRMN2trLWtIUFl3dlk5Uk9rbXk1MHFHVGNJaUpaNEFtODZoUFhrcFZQTDkwSEptQWY1Zlo3UGVqeXBkYmNLNHdzbzhLZjNheGlTV3RJUk9oT2NuOU56R2FTdmw3V3FSTU5PcEhHZ0JyWW40SThrclc1N1I4X3dzOHU3WGNTdzh1MERpTDlIcnBNbTBMdHdzQ2g4MWtfNmJiMkNXT0ViMWxJeDNIV1NCVGVQRldzUQ=="
+REFRESH_URL = "https://app.warp.dev/proxy/token?key=AIzaSyBdy3O3S9hrdayLJxJ7mriBR4qgUaUygAs" 

warp2protobuf/core/__init__.py

@@ -0,0 +1,3 @@
+# Core subpackage for warp2protobuf
+
+__all__ = [] 

warp2protobuf/core/auth.py

@@ -0,0 +1,341 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+JWT Authentication for Warp API
+
+Handles JWT token management, refresh, and validation.
+Integrates functionality from refresh_jwt.py.
+"""
+import base64
+import json
+import os
+import time
+from pathlib import Path
+import httpx
+import asyncio
+from dotenv import load_dotenv, set_key
+
+from ..config.settings import REFRESH_TOKEN_B64, REFRESH_URL, CLIENT_VERSION, OS_CATEGORY, OS_NAME, OS_VERSION
+from .logging import logger, log
+
+
+def decode_jwt_payload(token: str) -> dict:
+    """Decode JWT payload to check expiration"""
+    try:
+        parts = token.split('.')
+        if len(parts) != 3:
+            return {}
+        payload_b64 = parts[1]
+        padding = 4 - len(payload_b64) % 4
+        if padding != 4:
+            payload_b64 += '=' * padding
+        payload_bytes = base64.urlsafe_b64decode(payload_b64)
+        payload = json.loads(payload_bytes.decode('utf-8'))
+        return payload
+    except Exception as e:
+        logger.debug(f"Error decoding JWT: {e}")
+        return {}
+
+
+def is_token_expired(token: str, buffer_minutes: int = 5) -> bool:
+    payload = decode_jwt_payload(token)
+    if not payload or 'exp' not in payload:
+        return True
+    expiry_time = payload['exp']
+    current_time = time.time()
+    buffer_time = buffer_minutes * 60
+    return (expiry_time - current_time) <= buffer_time
+
+
+async def refresh_jwt_token() -> dict:
+    """Refresh the JWT token using the refresh token.
+
+    Prefers environment variable WARP_REFRESH_TOKEN when present; otherwise
+    falls back to the baked-in REFRESH_TOKEN_B64 payload.
+    """
+    logger.info("Refreshing JWT token...")
+    # Prefer dynamic refresh token from environment if present
+    env_refresh = os.getenv("WARP_REFRESH_TOKEN")
+    if env_refresh:
+        payload = f"grant_type=refresh_token&refresh_token={env_refresh}".encode("utf-8")
+    else:
+        payload = base64.b64decode(REFRESH_TOKEN_B64)
+    headers = {
+        "x-warp-client-version": CLIENT_VERSION,
+        "x-warp-os-category": OS_CATEGORY,
+        "x-warp-os-name": OS_NAME,
+        "x-warp-os-version": OS_VERSION,
+        "content-type": "application/x-www-form-urlencoded",
+        "accept": "*/*",
+        "accept-encoding": "gzip, br",
+        "content-length": str(len(payload))
+    }
+    try:
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.post(
+                REFRESH_URL,
+                headers=headers,
+                content=payload
+            )
+            if response.status_code == 200:
+                token_data = response.json()
+                logger.info("Token refresh successful")
+                return token_data
+            else:
+                logger.error(f"Token refresh failed: {response.status_code}")
+                logger.error(f"Response: {response.text}")
+                return {}
+    except Exception as e:
+        logger.error(f"Error refreshing token: {e}")
+        return {}
+
+
+def update_env_file(new_jwt: str) -> bool:
+    env_path = Path(".env")
+    try:
+        set_key(str(env_path), "WARP_JWT", new_jwt)
+        logger.info("Updated .env file with new JWT token")
+        return True
+    except Exception as e:
+        logger.error(f"Error updating .env file: {e}")
+        return False
+
+
+def update_env_refresh_token(refresh_token: str) -> bool:
+    env_path = Path(".env")
+    try:
+        set_key(str(env_path), "WARP_REFRESH_TOKEN", refresh_token)
+        logger.info("Updated .env with WARP_REFRESH_TOKEN")
+        return True
+    except Exception as e:
+        logger.error(f"Error updating .env WARP_REFRESH_TOKEN: {e}")
+        return False
+
+
+async def check_and_refresh_token() -> bool:
+    current_jwt = os.getenv("WARP_JWT")
+    if not current_jwt:
+        logger.warning("No JWT token found in environment")
+        token_data = await refresh_jwt_token()
+        if token_data and "access_token" in token_data:
+            return update_env_file(token_data["access_token"])
+        return False
+    logger.debug("Checking current JWT token expiration...")
+    if is_token_expired(current_jwt, buffer_minutes=15):
+        logger.info("JWT token is expired or expiring soon, refreshing...")
+        token_data = await refresh_jwt_token()
+        if token_data and "access_token" in token_data:
+            new_jwt = token_data["access_token"]
+            if not is_token_expired(new_jwt, buffer_minutes=0):
+                logger.info("New token is valid")
+                return update_env_file(new_jwt)
+            else:
+                logger.warning("New token appears to be invalid or expired")
+                return False
+        else:
+            logger.error("Failed to get new token from refresh")
+            return False
+    else:
+        payload = decode_jwt_payload(current_jwt)
+        if payload and 'exp' in payload:
+            expiry_time = payload['exp']
+            time_left = expiry_time - time.time()
+            hours_left = time_left / 3600
+            logger.debug(f"Current token is still valid ({hours_left:.1f} hours remaining)")
+        else:
+            logger.debug("Current token appears valid")
+        return True
+
+
+async def get_valid_jwt() -> str:
+    from dotenv import load_dotenv as _load
+    _load(override=True)
+    jwt = os.getenv("WARP_JWT")
+    if not jwt:
+        logger.info("No JWT token found, attempting to refresh...")
+        if await check_and_refresh_token():
+            _load(override=True)
+            jwt = os.getenv("WARP_JWT")
+        if not jwt:
+            raise RuntimeError("WARP_JWT is not set and refresh failed")
+    if is_token_expired(jwt, buffer_minutes=2):
+        logger.info("JWT token is expired or expiring soon, attempting to refresh...")
+        if await check_and_refresh_token():
+            _load(override=True)
+            jwt = os.getenv("WARP_JWT")
+            if not jwt or is_token_expired(jwt, buffer_minutes=0):
+                logger.warning("Warning: New token has short expiry but proceeding anyway")
+        else:
+            logger.warning("Warning: JWT token refresh failed, trying to use existing token")
+    return jwt
+
+
+def get_jwt_token() -> str:
+    from dotenv import load_dotenv as _load
+    _load()
+    return os.getenv("WARP_JWT", "")
+
+
+async def refresh_jwt_if_needed() -> bool:
+    try:
+        return await check_and_refresh_token()
+    except Exception as e:
+        logger.error(f"JWT refresh failed: {e}")
+        return False
+
+
+# ============ Anonymous token acquisition (quota refresh) ============
+
+_ANON_GQL_URL = "https://app.warp.dev/graphql/v2?op=CreateAnonymousUser"
+_IDENTITY_TOOLKIT_BASE = "https://identitytoolkit.googleapis.com/v1/accounts:signInWithCustomToken"
+
+
+def _extract_google_api_key_from_refresh_url() -> str:
+    try:
+        # REFRESH_URL like: https://app.warp.dev/proxy/token?key=API_KEY
+        from urllib.parse import urlparse, parse_qs
+        parsed = urlparse(REFRESH_URL)
+        qs = parse_qs(parsed.query)
+        key = qs.get("key", [""])[0]
+        return key
+    except Exception:
+        return ""
+
+
+async def _create_anonymous_user() -> dict:
+    headers = {
+        "accept-encoding": "gzip, br",
+        "content-type": "application/json",
+        "x-warp-client-version": CLIENT_VERSION,
+        "x-warp-os-category": OS_CATEGORY,
+        "x-warp-os-name": OS_NAME,
+        "x-warp-os-version": OS_VERSION,
+    }
+    # GraphQL payload per anonymous.MD
+    query = (
+        "mutation CreateAnonymousUser($input: CreateAnonymousUserInput!, $requestContext: RequestContext!) {\n"
+        "  createAnonymousUser(input: $input, requestContext: $requestContext) {\n"
+        "    __typename\n"
+        "    ... on CreateAnonymousUserOutput {\n"
+        "      expiresAt\n"
+        "      anonymousUserType\n"
+        "      firebaseUid\n"
+        "      idToken\n"
+        "      isInviteValid\n"
+        "      responseContext { serverVersion }\n"
+        "    }\n"
+        "    ... on UserFacingError {\n"
+        "      error { __typename message }\n"
+        "      responseContext { serverVersion }\n"
+        "    }\n"
+        "  }\n"
+        "}\n"
+    )
+    variables = {
+        "input": {
+            "anonymousUserType": "NATIVE_CLIENT_ANONYMOUS_USER_FEATURE_GATED",
+            "expirationType": "NO_EXPIRATION",
+            "referralCode": None
+        },
+        "requestContext": {
+            "clientContext": {"version": CLIENT_VERSION},
+            "osContext": {
+                "category": OS_CATEGORY,
+                "linuxKernelVersion": None,
+                "name": OS_NAME,
+                "version": OS_VERSION,
+            }
+        }
+    }
+    body = {"query": query, "variables": variables, "operationName": "CreateAnonymousUser"}
+    async with httpx.AsyncClient(timeout=httpx.Timeout(30.0)) as client:
+        resp = await client.post(_ANON_GQL_URL, headers=headers, json=body)
+        if resp.status_code != 200:
+            raise RuntimeError(f"CreateAnonymousUser failed: HTTP {resp.status_code} {resp.text[:200]}")
+        data = resp.json()
+        return data
+
+
+async def _exchange_id_token_for_refresh_token(id_token: str) -> dict:
+    key = _extract_google_api_key_from_refresh_url()
+    url = f"{_IDENTITY_TOOLKIT_BASE}?key={key}" if key else f"{_IDENTITY_TOOLKIT_BASE}?key=AIzaSyBdy3O3S9hrdayLJxJ7mriBR4qgUaUygAs"
+    headers = {
+        "accept-encoding": "gzip, br",
+        "content-type": "application/x-www-form-urlencoded",
+        "x-warp-client-version": CLIENT_VERSION,
+        "x-warp-os-category": OS_CATEGORY,
+        "x-warp-os-name": OS_NAME,
+        "x-warp-os-version": OS_VERSION,
+    }
+    form = {
+        "returnSecureToken": "true",
+        "token": id_token,
+    }
+    async with httpx.AsyncClient(timeout=httpx.Timeout(30.0)) as client:
+        resp = await client.post(url, headers=headers, data=form)
+        if resp.status_code != 200:
+            raise RuntimeError(f"signInWithCustomToken failed: HTTP {resp.status_code} {resp.text[:200]}")
+        return resp.json()
+
+
+async def acquire_anonymous_access_token() -> str:
+    """Acquire a new anonymous access token (quota refresh) and persist to .env.
+
+    Returns the new access token string. Raises on failure.
+    """
+    logger.info("Acquiring anonymous access token via GraphQL + Identity Toolkit…")
+    data = await _create_anonymous_user()
+    id_token = None
+    try:
+        id_token = data["data"]["createAnonymousUser"].get("idToken")
+    except Exception:
+        pass
+    if not id_token:
+        raise RuntimeError(f"CreateAnonymousUser did not return idToken: {data}")
+
+    signin = await _exchange_id_token_for_refresh_token(id_token)
+    refresh_token = signin.get("refreshToken")
+    if not refresh_token:
+        raise RuntimeError(f"signInWithCustomToken did not return refreshToken: {signin}")
+
+    # Persist refresh token for future time-based refreshes
+    update_env_refresh_token(refresh_token)
+
+    # Now call Warp proxy token endpoint to get access_token using this refresh token
+    payload = f"grant_type=refresh_token&refresh_token={refresh_token}".encode("utf-8")
+    headers = {
+        "x-warp-client-version": CLIENT_VERSION,
+        "x-warp-os-category": OS_CATEGORY,
+        "x-warp-os-name": OS_NAME,
+        "x-warp-os-version": OS_VERSION,
+        "content-type": "application/x-www-form-urlencoded",
+        "accept": "*/*",
+        "accept-encoding": "gzip, br",
+        "content-length": str(len(payload))
+    }
+    async with httpx.AsyncClient(timeout=httpx.Timeout(30.0)) as client:
+        resp = await client.post(REFRESH_URL, headers=headers, content=payload)
+        if resp.status_code != 200:
+            raise RuntimeError(f"Acquire access_token failed: HTTP {resp.status_code} {resp.text[:200]}")
+        token_data = resp.json()
+        access = token_data.get("access_token")
+        if not access:
+            raise RuntimeError(f"No access_token in response: {token_data}")
+        update_env_file(access)
+        return access
+
+
+def print_token_info():
+    current_jwt = os.getenv("WARP_JWT")
+    if not current_jwt:
+        logger.info("No JWT token found")
+        return
+    payload = decode_jwt_payload(current_jwt)
+    if not payload:
+        logger.info("Cannot decode JWT token")
+        return
+    logger.info("=== JWT Token Information ===")
+    if 'email' in payload:
+        logger.info(f"Email: {payload['email']}")
+    if 'user_id' in payload:
+        logger.info(f"User ID: {payload['user_id']}") 

warp2protobuf/core/logging.py

@@ -0,0 +1,121 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Logging system for Warp API server
+
+Provides comprehensive logging with file rotation and console output.
+"""
+import logging
+import os
+import shutil
+from datetime import datetime
+from logging.handlers import RotatingFileHandler
+from ..config.settings import LOGS_DIR
+
+
+def backup_existing_log():
+    """Backup existing log file with timestamp"""
+    log_file = LOGS_DIR / 'warp_api.log'
+
+    if log_file.exists():
+        timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+        backup_name = f'warp_api_{timestamp}.log'
+        backup_path = LOGS_DIR / backup_name
+
+        try:
+            shutil.move(str(log_file), str(backup_path))
+            print(f"Previous log backed up as: {backup_name}")
+        except Exception as e:
+            print(f"Warning: Could not backup log file: {e}")
+
+
+def setup_logging():
+    """Configure comprehensive logging system"""
+    LOGS_DIR.mkdir(exist_ok=True)
+
+    backup_existing_log()
+    
+    logger = logging.getLogger('warp_api')
+    logger.setLevel(logging.DEBUG)
+    
+    for handler in logger.handlers[:]:
+        logger.removeHandler(handler)
+    
+    file_handler = RotatingFileHandler(
+        LOGS_DIR / 'warp_api.log',
+        maxBytes=10*1024*1024,
+        backupCount=5,
+        encoding='utf-8'
+    )
+    file_handler.setLevel(logging.DEBUG)
+    
+    console_handler = logging.StreamHandler()
+    console_handler.setLevel(logging.INFO)
+    
+    formatter = logging.Formatter(
+        '%(asctime)s - %(name)s - %(levelname)s - %(funcName)s:%(lineno)d - %(message)s'
+    )
+    file_handler.setFormatter(formatter)
+    console_handler.setFormatter(formatter)
+    
+    logger.addHandler(file_handler)
+    logger.addHandler(console_handler)
+    
+    return logger
+
+
+# Initialize logger
+logger = setup_logging()
+
+
+def log(*a): 
+    """Legacy log function for backward compatibility"""
+    logger.info(" ".join(str(x) for x in a))
+
+
+def set_log_file(log_file_name: str) -> None:
+    """Reconfigure the global logger to write to a specific log file."""
+    try:
+        LOGS_DIR.mkdir(exist_ok=True)
+    except Exception:
+        pass
+
+    global logger
+    target_logger = logging.getLogger('warp_api')
+
+    for handler in target_logger.handlers[:]:
+        try:
+            target_logger.removeHandler(handler)
+            try:
+                handler.close()
+            except Exception:
+                pass
+        except Exception:
+            pass
+
+    file_handler = RotatingFileHandler(
+        LOGS_DIR / log_file_name,
+        maxBytes=10*1024*1024,
+        backupCount=5,
+        encoding='utf-8'
+    )
+    file_handler.setLevel(logging.DEBUG)
+
+    console_handler = logging.StreamHandler()
+    console_handler.setLevel(logging.INFO)
+
+    formatter = logging.Formatter(
+        '%(asctime)s - %(name)s - %(levelname)s - %(funcName)s:%(lineno)d - %(message)s'
+    )
+    file_handler.setFormatter(formatter)
+    console_handler.setFormatter(formatter)
+
+    target_logger.addHandler(file_handler)
+    target_logger.addHandler(console_handler)
+
+    logger = target_logger
+
+    try:
+        logger.info(f"Logging redirected to: {LOGS_DIR / log_file_name}")
+    except Exception:
+        pass 

warp2protobuf/core/protobuf.py

@@ -0,0 +1,284 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Protobuf runtime for Warp API
+
+Handles protobuf compilation, message creation, and request building.
+"""
+import os
+import re
+import json
+import time
+import uuid
+import pathlib
+import tempfile
+from typing import Any, Dict, List, Optional, Tuple
+
+from google.protobuf import descriptor_pool, descriptor_pb2
+from google.protobuf.descriptor import FieldDescriptor as FD
+from google.protobuf.message_factory import GetMessageClass
+from google.protobuf import struct_pb2
+
+from ..config.settings import PROTO_DIR, CLIENT_VERSION, OS_CATEGORY, OS_NAME, OS_VERSION, TEXT_FIELD_NAMES, PATH_HINT_BONUS
+from .logging import logger, log
+
+# Global protobuf state
+_pool: Optional[descriptor_pool.DescriptorPool] = None
+ALL_MSGS: List[str] = []
+
+
+def _find_proto_files(root: pathlib.Path) -> List[str]:
+    """Find necessary .proto files in the given directory, excluding problematic test files"""
+    if not root.exists():
+        return []
+    
+    essential_files = [
+        "request.proto",
+        "response.proto", 
+        "task.proto",
+        "attachment.proto",
+        "file_content.proto",
+        "input_context.proto",
+        "citations.proto"
+    ]
+    
+    found_files = []
+    for file_name in essential_files:
+        file_path = root / file_name
+        if file_path.exists():
+            found_files.append(str(file_path))
+            logger.debug(f"Found essential proto file: {file_name}")
+    
+    if not found_files:
+        logger.warning("Essential proto files not found, scanning all files...")
+        exclude_patterns = [
+            "unittest", "test", "sample_messages", "java_features", 
+            "legacy_features", "descriptor_test"
+        ]
+        
+        for proto_file in root.rglob("*.proto"):
+            file_name = proto_file.name.lower()
+            if not any(pattern in file_name for pattern in exclude_patterns):
+                found_files.append(str(proto_file))
+    
+    logger.info(f"Selected {len(found_files)} proto files for compilation")
+    return found_files
+
+
+def _build_descset(proto_files: List[str], includes: List[str]) -> bytes:
+    from grpc_tools import protoc
+    try:
+        from importlib.resources import files as pkg_files
+        tool_inc = str(pkg_files("grpc_tools").joinpath("_proto"))
+    except Exception:
+        tool_inc = None
+
+    outdir = pathlib.Path(tempfile.mkdtemp(prefix="desc_"))
+    out = outdir / "bundle.pb"
+    args = ["protoc", f"--descriptor_set_out={out}", "--include_imports"]
+    for inc in includes:
+        args.append(f"-I{inc}")
+    if tool_inc:
+        args.append(f"-I{tool_inc}")
+    args.extend(proto_files)
+    rc = protoc.main(args)
+    if rc != 0 or not out.exists():
+        raise RuntimeError("protoc failed to produce descriptor set")
+    return out.read_bytes()
+
+
+def _load_pool_from_descset(descset: bytes):
+    global _pool, ALL_MSGS
+    fds = descriptor_pb2.FileDescriptorSet()
+    fds.ParseFromString(descset)
+    pool = descriptor_pool.DescriptorPool()
+    for fd in fds.file:
+        pool.Add(fd)
+    names: List[str] = []
+    for fd in fds.file:
+        pkg = fd.package
+        def walk(m, prefix):
+            full = f"{prefix}.{m.name}" if prefix else m.name
+            names.append(full)
+            for nested in m.nested_type:
+                walk(nested, full)
+        for m in fd.message_type:
+            walk(m, pkg)
+    _pool, ALL_MSGS = pool, names
+    log(f"proto loaded: {len(ALL_MSGS)} message type(s)")
+
+
+def ensure_proto_runtime():
+    if _pool is not None: 
+        return
+    files = _find_proto_files(PROTO_DIR)
+    if not files:
+        raise RuntimeError(f"No .proto found under {PROTO_DIR}")
+    desc = _build_descset(files, [str(PROTO_DIR)])
+    _load_pool_from_descset(desc)
+
+
+def msg_cls(full: str):
+    desc = _pool.FindMessageTypeByName(full)  # type: ignore
+    return GetMessageClass(desc)
+
+
+def _list_text_paths(desc, max_depth=6):
+    out: List[Tuple[List[FD], int]] = []
+    def walk(cur_desc, cur_path: List[FD], depth: int):
+        if depth > max_depth:
+            return
+        for f in cur_desc.fields:
+            base = 0
+            if f.name.lower() in TEXT_FIELD_NAMES: base += 10
+            for hint in PATH_HINT_BONUS:
+                if hint in f.name.lower(): base += 2
+            if f.type == FD.TYPE_STRING:
+                out.append((cur_path + [f], base + depth))
+            elif f.type == FD.TYPE_MESSAGE:
+                walk(f.message_type, cur_path + [f], depth + 1)
+    walk(desc, [], 0)
+    return out
+
+
+def _pick_best_request_schema() -> Tuple[str, List[FD]]:
+    ensure_proto_runtime()
+    try:
+        request_type = "warp.multi_agent.v1.Request"
+        d = _pool.FindMessageTypeByName(request_type)  # type: ignore
+        path_names = ["input", "user_inputs", "inputs", "user_query", "query"]
+        path_fields = []
+        current_desc = d
+        
+        for field_name in path_names:
+            field = current_desc.fields_by_name.get(field_name)
+            if not field:
+                raise RuntimeError(f"Field '{field_name}' not found")
+            path_fields.append(field)
+            if field.type == FD.TYPE_MESSAGE:
+                current_desc = field.message_type
+        
+        log("using modern request format:", request_type, " :: ", ".".join(path_names))
+        return request_type, path_fields
+        
+    except Exception as e:
+        log(f"Failed to use modern format, falling back to auto-detection: {e}")
+        best: Optional[Tuple[str, List[FD], int]] = None
+        for full in ALL_MSGS:
+            try:
+                d = _pool.FindMessageTypeByName(full)  # type: ignore
+            except Exception:
+                continue
+            name_bias = 0
+            lname = full.lower()
+            for kw, w in (("request", 8), ("multi_agent", 6), ("multiagent", 6),
+                          ("chat", 5), ("client", 2), ("message", 1), ("input", 1)):
+                if kw in lname: name_bias += w
+            for path, score in _list_text_paths(d):
+                total = score + name_bias + max(0, 6 - len(path))
+                if best is None or total > best[2]:
+                    best = (full, path, total)
+        if not best:
+            raise RuntimeError("Could not auto-detect request root & text field from proto/")
+        full, path, _ = best
+        log("auto-detected request:", full, " :: ", ".".join(f.name for f in path))
+        return full, path
+
+
+_REQ_CACHE: Optional[Tuple[str, List[FD]]] = None
+
+def get_request_schema() -> Tuple[str, List[FD]]:
+    global _REQ_CACHE
+    if _REQ_CACHE is None:
+        _REQ_CACHE = _pick_best_request_schema()
+    return _REQ_CACHE
+
+
+def _set_text_at_path(msg, path_fields: List[FD], text: str):
+    cur = msg
+    for i, f in enumerate(path_fields):
+        last = (i == len(path_fields) - 1)
+        try:
+            is_repeated = f.is_repeated
+        except AttributeError:
+            is_repeated = (f.label == FD.LABEL_REPEATED)
+        
+        if is_repeated:
+            rep = getattr(cur, f.name)
+            if f.type == FD.TYPE_MESSAGE:
+                cur = rep.add()
+            elif f.type == FD.TYPE_STRING:
+                if not last: raise TypeError(f"path continues after repeated string field '{f.name}'")
+                rep.append(text); return
+            else:
+                raise TypeError(f"unsupported repeated scalar at '{f.name}'")
+        else:
+            if f.type == FD.TYPE_MESSAGE:
+                cur = getattr(cur, f.name)
+                if last:
+                    raise TypeError(f"last field '{f.name}' is a message, not string")
+            elif f.type == FD.TYPE_STRING:
+                if not last: raise TypeError(f"path continues after string field '{f.name}'")
+                setattr(cur, f.name, text); return
+            else:
+                raise TypeError(f"unsupported scalar at '{f.name}'")
+    raise RuntimeError("failed to set text")
+
+
+def build_request_bytes(user_text: str, model: str = "auto") -> bytes:
+    from ..config.models import get_model_config
+
+    full, path = get_request_schema()
+    Cls = msg_cls(full)
+    msg = Cls()
+    _set_text_at_path(msg, path, user_text)
+
+    if hasattr(msg, 'settings'):
+        settings = msg.settings
+        if hasattr(settings, 'model_config'):
+            model_config_dict = get_model_config(model)
+            model_config = settings.model_config
+            model_config.base = model_config_dict["base"]
+            model_config.planning = model_config_dict["planning"]
+            model_config.coding = model_config_dict["coding"]
+            logger.debug(f"Set model config: base={model_config.base}, planning={model_config.planning}, coding={model_config.coding}")
+
+        settings.rules_enabled = False
+        settings.web_context_retrieval_enabled = False
+        settings.supports_parallel_tool_calls = False
+        settings.planning_enabled = False
+        settings.supports_create_files = False
+        settings.supports_long_running_commands = False
+        settings.supports_todos_ui = False
+        settings.supports_linked_code_blocks = False
+
+        settings.use_anthropic_text_editor_tools = False
+        settings.warp_drive_context_enabled = False
+        settings.should_preserve_file_content_in_history = True
+
+        try:
+            tool_types = []
+            settings.supported_tools[:] = tool_types
+            logger.debug(f"Set supported_tools (legacy): {tool_types}")
+        except Exception as e:
+            logger.debug(f"Could not set supported_tools: {e}")
+
+        logger.debug("Applied all valid Settings fields based on proto definition")
+
+    if hasattr(msg, 'metadata'):
+        metadata = msg.metadata
+        metadata.conversation_id = f"rest-api-{uuid.uuid4().hex[:8]}"
+
+    rootd = msg.DESCRIPTOR
+    for fn, val in (
+        ("client_version", CLIENT_VERSION),
+        ("version", CLIENT_VERSION),
+        ("os_name", OS_NAME),
+        ("os_category", OS_CATEGORY),
+        ("os_version", OS_VERSION),
+    ):
+        f = rootd.fields_by_name.get(fn)
+        if f and f.type == FD.TYPE_STRING and f.label == FD.LABEL_OPTIONAL:
+            setattr(msg, fn, val)
+
+    return msg.SerializeToString() 

warp2protobuf/core/protobuf_utils.py

@@ -0,0 +1,310 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Protobuf utility functions
+
+Shared functions for protobuf encoding/decoding across the application.
+"""
+from typing import Any, Dict
+from fastapi import HTTPException
+from .logging import logger
+from .protobuf import ensure_proto_runtime, msg_cls
+from google.protobuf.json_format import MessageToDict
+from google.protobuf import struct_pb2
+from google.protobuf.descriptor import FieldDescriptor as _FD
+from .server_message_data import decode_server_message_data, encode_server_message_data
+
+
+
+
+
+def protobuf_to_dict(protobuf_bytes: bytes, message_type: str) -> Dict:
+    """将protobuf字节转换为字典"""
+    ensure_proto_runtime()
+    
+    try:
+        MessageClass = msg_cls(message_type)
+        message = MessageClass()
+        message.ParseFromString(protobuf_bytes)
+        
+        data = MessageToDict(message, preserving_proto_field_name=True)
+        
+        # 在转换阶段自动解析 server_message_data（Base64URL -> 结构化对象）
+        data = _decode_smd_inplace(data)
+        return data
+    
+    except Exception as e:
+        logger.error(f"Protobuf解码失败: {e}")
+        raise HTTPException(500, f"Protobuf解码失败: {e}")
+
+
+
+
+
+def dict_to_protobuf_bytes(data_dict: Dict, message_type: str = "warp.multi_agent.v1.Request") -> bytes:
+    """字典转protobuf字节的包装函数"""
+    ensure_proto_runtime()
+    
+    try:
+        MessageClass = msg_cls(message_type)
+        message = MessageClass()
+        
+        # 在转换阶段自动处理 server_message_data（对象 -> Base64URL 字符串）
+        safe_dict = _encode_smd_inplace(data_dict)
+        
+        _populate_protobuf_from_dict(message, safe_dict, path="$")
+        
+        return message.SerializeToString()
+    
+    except Exception as e:
+        logger.error(f"Protobuf编码失败: {e}")
+        raise HTTPException(500, f"Protobuf编码失败: {e}")
+
+
+
+
+def _fill_google_value_dynamic(value_msg: Any, py_value: Any) -> None:
+    """在动态 google.protobuf.Value 消息上填充 Python 值（不创建 struct_pb2.Value 实例）。"""
+    try:
+        if py_value is None:
+            setattr(value_msg, "null_value", 0)
+            return
+        if isinstance(py_value, bool):
+            setattr(value_msg, "bool_value", bool(py_value))
+            return
+        if isinstance(py_value, (int, float)):
+            setattr(value_msg, "number_value", float(py_value))
+            return
+        if isinstance(py_value, str):
+            setattr(value_msg, "string_value", py_value)
+            return
+        if isinstance(py_value, dict):
+            struct_value = getattr(value_msg, "struct_value")
+            _fill_google_struct_dynamic(struct_value, py_value)
+            return
+        if isinstance(py_value, list):
+            list_value = getattr(value_msg, "list_value")
+            values_rep = getattr(list_value, "values")
+            for item in py_value:
+                sub = values_rep.add()
+                _fill_google_value_dynamic(sub, item)
+            return
+        setattr(value_msg, "string_value", str(py_value))
+    except Exception as e:
+        logger.warning(f"填充 google.protobuf.Value 失败: {e}")
+
+
+
+
+def _fill_google_struct_dynamic(struct_msg: Any, py_dict: Dict[str, Any]) -> None:
+    """在动态 google.protobuf.Struct 上填充 Python dict（不使用 struct_pb2.Struct.update）。"""
+    try:
+        fields_map = getattr(struct_msg, "fields")
+        for k, v in py_dict.items():
+            sub_val = fields_map[k]
+            _fill_google_value_dynamic(sub_val, v)
+    except Exception as e:
+        logger.warning(f"填充 google.protobuf.Struct 失败: {e}")
+
+
+
+
+def _python_to_struct_value(py_value: Any) -> struct_pb2.Value:
+    v = struct_pb2.Value()
+    if py_value is None:
+        v.null_value = struct_pb2.NULL_VALUE
+    elif isinstance(py_value, bool):
+        v.bool_value = bool(py_value)
+    elif isinstance(py_value, (int, float)):
+        v.number_value = float(py_value)
+    elif isinstance(py_value, str):
+        v.string_value = py_value
+    elif isinstance(py_value, dict):
+        s = struct_pb2.Struct()
+        s.update(py_value)
+        v.struct_value.CopyFrom(s)
+    elif isinstance(py_value, list):
+        lv = struct_pb2.ListValue()
+        for item in py_value:
+            lv.values.append(_python_to_struct_value(item))
+        v.list_value.CopyFrom(lv)
+    else:
+        v.string_value = str(py_value)
+    return v
+
+
+
+
+def _populate_protobuf_from_dict(proto_msg, data_dict: Dict, path: str = "$"):
+    for key, value in data_dict.items():
+        current_path = f"{path}.{key}"
+        if not hasattr(proto_msg, key):
+            logger.warning(f"忽略未知字段: {current_path}")
+            continue
+            
+        field = getattr(proto_msg, key)
+        fd = None
+        descriptor = getattr(proto_msg, "DESCRIPTOR", None)
+        if descriptor is not None:
+            fd = descriptor.fields_by_name.get(key)
+        
+        try:
+            if (
+                fd is not None
+                and fd.type == _FD.TYPE_MESSAGE
+                and fd.message_type is not None
+                and fd.message_type.full_name == "google.protobuf.Struct"
+                and isinstance(value, dict)
+            ):
+                _fill_google_struct_dynamic(field, value)
+                continue
+        except Exception as e:
+            logger.warning(f"处理 Struct 字段 {current_path} 失败: {e}")
+
+        if isinstance(field, struct_pb2.Struct) and isinstance(value, dict):
+            try:
+                field.update(value)
+            except Exception as e:
+                logger.warning(f"填充Struct失败: {current_path}: {e}")
+            continue
+
+        try:
+            if (
+                fd is not None
+                and fd.type == _FD.TYPE_MESSAGE
+                and fd.message_type is not None
+                and fd.message_type.GetOptions().map_entry
+                and isinstance(value, dict)
+            ):
+                value_desc = fd.message_type.fields_by_name.get("value")
+                for mk, mv in value.items():
+                    try:
+                        if value_desc is not None and value_desc.type == _FD.TYPE_MESSAGE:
+                            if value_desc.message_type is not None and value_desc.message_type.full_name == "google.protobuf.Value":
+                                _fill_google_value_dynamic(field[mk], mv)
+                            else:
+                                sub_msg = field[mk]
+                                if isinstance(mv, dict):
+                                    _populate_protobuf_from_dict(sub_msg, mv, path=f"{current_path}.{mk}")
+                                else:
+                                    try:
+                                        logger.warning(f"map值类型不匹配，期望message: {current_path}.{mk}")
+                                    except Exception:
+                                        pass
+                        else:
+                            field[mk] = mv
+                    except Exception as me:
+                        logger.warning(f"设置 map 字段 {current_path}.{mk} 失败: {me}")
+                continue
+        except Exception as e:
+            logger.warning(f"处理 map 字段 {current_path} 失败: {e}")
+        
+        if isinstance(value, dict):
+            try:
+                _populate_protobuf_from_dict(field, value, path=current_path)
+            except Exception as e:
+                logger.error(f"填充子消息失败: {current_path}: {e}")
+                raise
+        elif isinstance(value, list):
+            # 处理 repeated enum：允许传入字符串名称或数字
+            try:
+                if fd is not None and fd.type == _FD.TYPE_ENUM:
+                    enum_desc = getattr(fd, "enum_type", None)
+                    resolved_values = []
+                    for item in value:
+                        if isinstance(item, str):
+                            ev = enum_desc.values_by_name.get(item) if enum_desc is not None else None
+                            if ev is not None:
+                                resolved_values.append(ev.number)
+                            else:
+                                try:
+                                    resolved_values.append(int(item))
+                                except Exception:
+                                    logger.warning(f"无法解析枚举值 '{item}' 为 {current_path}，已忽略")
+                        else:
+                            try:
+                                resolved_values.append(int(item))
+                            except Exception:
+                                logger.warning(f"无法转换枚举值 {item} 为整数: {current_path}")
+                    field.extend(resolved_values)
+                    continue
+            except Exception as e:
+                logger.warning(f"处理 repeated enum 字段 {current_path} 失败: {e}")
+            if value and isinstance(value[0], dict):
+                try:
+                    for idx, item in enumerate(value):
+                        new_item = field.add()  # type: ignore[attr-defined]
+                        _populate_protobuf_from_dict(new_item, item, path=f"{current_path}[{idx}]")
+                except Exception as e:
+                    logger.warning(f"填充复合数组失败 {current_path}: {e}")
+            else:
+                try:
+                    field.extend(value)
+                except Exception as e:
+                    logger.warning(f"设置数组字段 {current_path} 失败: {e}")
+        else:
+            if key in ["in_progress", "resume_conversation"]:
+                field.SetInParent()
+            else:
+                try:
+                    # 处理标量 enum：允许传入字符串名称或数字
+                    if fd is not None and fd.type == _FD.TYPE_ENUM:
+                        enum_desc = getattr(fd, "enum_type", None)
+                        if isinstance(value, str):
+                            ev = enum_desc.values_by_name.get(value) if enum_desc is not None else None
+                            if ev is not None:
+                                setattr(proto_msg, key, ev.number)
+                                continue
+                            try:
+                                setattr(proto_msg, key, int(value))
+                                continue
+                            except Exception:
+                                pass
+                        # 其余情况直接赋值，若类型不匹配由底层抛错
+                    setattr(proto_msg, key, value)
+                except Exception as e:
+                    logger.warning(f"设置字段 {current_path} 失败: {e}")
+
+
+# ===== server_message_data 递归处理 =====
+
+def _encode_smd_inplace(obj: Any) -> Any:
+    if isinstance(obj, dict):
+        new_d: Dict[str, Any] = {}
+        for k, v in obj.items():
+            if k in ("server_message_data", "serverMessageData") and isinstance(v, dict):
+                try:
+                    b64 = encode_server_message_data(
+                        uuid=v.get("uuid"),
+                        seconds=v.get("seconds"),
+                        nanos=v.get("nanos"),
+                    )
+                    new_d[k] = b64
+                except Exception:
+                    new_d[k] = v
+            else:
+                new_d[k] = _encode_smd_inplace(v)
+        return new_d
+    elif isinstance(obj, list):
+        return [_encode_smd_inplace(x) for x in obj]
+    else:
+        return obj
+
+
+def _decode_smd_inplace(obj: Any) -> Any:
+    if isinstance(obj, dict):
+        new_d: Dict[str, Any] = {}
+        for k, v in obj.items():
+            if k in ("server_message_data", "serverMessageData") and isinstance(v, str):
+                try:
+                    dec = decode_server_message_data(v)
+                    new_d[k] = dec
+                except Exception:
+                    new_d[k] = v
+            else:
+                new_d[k] = _decode_smd_inplace(v)
+        return new_d
+    elif isinstance(obj, list):
+        return [_decode_smd_inplace(x) for x in obj]
+    else:
+        return obj 

warp2protobuf/core/schema_sanitizer.py

@@ -0,0 +1,175 @@
+# -*- coding: utf-8 -*-
+"""
+Shared utilities to validate and sanitize MCP tool input_schema in request packets.
+Ensures JSON Schema correctness, removes empty values, and enforces non-empty
+`type` and `description` for each property. Special handling for `headers`.
+"""
+from typing import Any, Dict, List
+
+
+def _is_empty_value(value: Any) -> bool:
+    if value is None:
+        return True
+    if isinstance(value, str) and value.strip() == "":
+        return True
+    if isinstance(value, (list, dict)) and len(value) == 0:
+        return True
+    return False
+
+
+def _deep_clean(value: Any) -> Any:
+    if isinstance(value, dict):
+        cleaned: Dict[str, Any] = {}
+        for k, v in value.items():
+            vv = _deep_clean(v)
+            if _is_empty_value(vv):
+                continue
+            cleaned[k] = vv
+        return cleaned
+    if isinstance(value, list):
+        cleaned_list = []
+        for item in value:
+            ii = _deep_clean(item)
+            if _is_empty_value(ii):
+                continue
+            cleaned_list.append(ii)
+        return cleaned_list
+    if isinstance(value, str):
+        return value.strip()
+    return value
+
+
+def _infer_type_for_property(prop_name: str) -> str:
+    name = prop_name.lower()
+    if name in ("url", "uri", "href", "link"):
+        return "string"
+    if name in ("headers", "options", "params", "payload", "data"):
+        return "object"
+    return "string"
+
+
+def _ensure_property_schema(name: str, schema: Dict[str, Any]) -> Dict[str, Any]:
+    prop = dict(schema) if isinstance(schema, dict) else {}
+    prop = _deep_clean(prop)
+
+    # Enforce type & description
+    if "type" not in prop or not isinstance(prop.get("type"), str) or not prop["type"].strip():
+        prop["type"] = _infer_type_for_property(name)
+    if "description" not in prop or not isinstance(prop.get("description"), str) or not prop["description"].strip():
+        prop["description"] = f"{name} parameter"
+
+    # Special handling for headers
+    if name.lower() == "headers":
+        prop["type"] = "object"
+        headers_props = prop.get("properties")
+        if not isinstance(headers_props, dict):
+            headers_props = {}
+        headers_props = _deep_clean(headers_props)
+        if not headers_props:
+            headers_props = {
+                "user-agent": {
+                    "type": "string",
+                    "description": "User-Agent header for the request",
+                }
+            }
+        else:
+            fixed_headers: Dict[str, Any] = {}
+            for hk, hv in headers_props.items():
+                sub = _deep_clean(hv if isinstance(hv, dict) else {})
+                if "type" not in sub or not isinstance(sub.get("type"), str) or not sub["type"].strip():
+                    sub["type"] = "string"
+                if "description" not in sub or not isinstance(sub.get("description"), str) or not sub["description"].strip():
+                    sub["description"] = f"{hk} header"
+                fixed_headers[hk] = sub
+            headers_props = fixed_headers
+        prop["properties"] = headers_props
+        if isinstance(prop.get("required"), list):
+            req = [r for r in prop["required"] if isinstance(r, str) and r in headers_props]
+            if req:
+                prop["required"] = req
+            else:
+                prop.pop("required", None)
+        if isinstance(prop.get("additionalProperties"), dict) and len(prop["additionalProperties"]) == 0:
+            prop.pop("additionalProperties", None)
+
+    return prop
+
+
+def _sanitize_json_schema(schema: Dict[str, Any]) -> Dict[str, Any]:
+    s = _deep_clean(schema if isinstance(schema, dict) else {})
+
+    # If properties exist, assume object type
+    if "properties" in s and not isinstance(s.get("type"), str):
+        s["type"] = "object"
+
+    # Normalize $schema
+    if "$schema" in s and not isinstance(s["$schema"], str):
+        s.pop("$schema", None)
+    if "$schema" not in s:
+        s["$schema"] = "http://json-schema.org/draft-07/schema#"
+
+    properties = s.get("properties")
+    if isinstance(properties, dict):
+        fixed_props: Dict[str, Any] = {}
+        for name, subschema in properties.items():
+            fixed_props[name] = _ensure_property_schema(name, subschema if isinstance(subschema, dict) else {})
+        s["properties"] = fixed_props
+
+    # Clean required list
+    if isinstance(s.get("required"), list):
+        if isinstance(properties, dict):
+            req = [r for r in s["required"] if isinstance(r, str) and r in properties]
+        else:
+            req = []
+        if req:
+            s["required"] = req
+        else:
+            s.pop("required", None)
+
+    # Remove empty additionalProperties object
+    if isinstance(s.get("additionalProperties"), dict) and len(s["additionalProperties"]) == 0:
+        s.pop("additionalProperties", None)
+
+    return s
+
+
+def sanitize_mcp_input_schema_in_packet(body: Dict[str, Any]) -> Dict[str, Any]:
+    """Validate and sanitize mcp_context.tools[*].input_schema in the given packet.
+
+    - Removes empty values (empty strings, lists, dicts)
+    - Ensures each property has non-empty `type` and `description`
+    - Special-cases `headers` to include at least `user-agent` when empty
+    - Fixes `required` lists and general JSON Schema shape
+    """
+    try:
+        body = _deep_clean(body)
+        candidate_roots: List[Dict[str, Any]] = []
+        if isinstance(body.get("json_data"), dict):
+            candidate_roots.append(body["json_data"])
+        candidate_roots.append(body)
+
+        for root in candidate_roots:
+            if not isinstance(root, dict):
+                continue
+            mcp_ctx = root.get("mcp_context")
+            if not isinstance(mcp_ctx, dict):
+                continue
+            tools = mcp_ctx.get("tools")
+            if not isinstance(tools, list):
+                continue
+            fixed_tools: List[Any] = []
+            for tool in tools:
+                if not isinstance(tool, dict):
+                    fixed_tools.append(tool)
+                    continue
+                tool_copy = dict(tool)
+                input_schema = tool_copy.get("input_schema") or tool_copy.get("inputSchema")
+                if isinstance(input_schema, dict):
+                    tool_copy["input_schema"] = _sanitize_json_schema(input_schema)
+                    if "inputSchema" in tool_copy:
+                        tool_copy["inputSchema"] = tool_copy["input_schema"]
+                fixed_tools.append(_deep_clean(tool_copy))
+            mcp_ctx["tools"] = fixed_tools
+        return body
+    except Exception:
+        return body 

warp2protobuf/core/server_message_data.py

@@ -0,0 +1,189 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Helpers for encoding/decoding server_message_data values.
+
+These are Base64URL-encoded proto3 messages with shape:
+  - field 1: string UUID (36 chars)
+  - field 3: google.protobuf.Timestamp (1=seconds, 2=nanos)
+
+Supports UUID_ONLY, TIMESTAMP_ONLY, and UUID_AND_TIMESTAMP.
+"""
+from typing import Dict, Optional, Tuple
+import base64
+from datetime import datetime, timezone
+
+try:
+    from zoneinfo import ZoneInfo  # Python 3.9+
+except Exception:
+    ZoneInfo = None  # type: ignore
+
+
+def _b64url_decode_padded(s: str) -> bytes:
+    t = s.replace("-", "+").replace("_", "/")
+    pad = (-len(t)) % 4
+    if pad:
+        t += "=" * pad
+    return base64.b64decode(t)
+
+
+def _b64url_encode_nopad(b: bytes) -> str:
+    return base64.urlsafe_b64encode(b).decode("ascii").rstrip("=")
+
+
+def _read_varint(buf: bytes, i: int) -> Tuple[int, int]:
+    shift = 0
+    val = 0
+    while i < len(buf):
+        b = buf[i]
+        i += 1
+        val |= (b & 0x7F) << shift
+        if not (b & 0x80):
+            return val, i
+        shift += 7
+        if shift > 63:
+            break
+    raise ValueError("invalid varint")
+
+
+def _write_varint(v: int) -> bytes:
+    out = bytearray()
+    vv = int(v)
+    while True:
+        to_write = vv & 0x7F
+        vv >>= 7
+        if vv:
+            out.append(to_write | 0x80)
+        else:
+            out.append(to_write)
+            break
+    return bytes(out)
+
+
+def _make_key(field_no: int, wire_type: int) -> bytes:
+    return _write_varint((field_no << 3) | wire_type)
+
+
+def _decode_timestamp(buf: bytes) -> Tuple[Optional[int], Optional[int]]:
+    i = 0
+    seconds: Optional[int] = None
+    nanos: Optional[int] = None
+    while i < len(buf):
+        key, i = _read_varint(buf, i)
+        field_no = key >> 3
+        wt = key & 0x07
+        if wt == 0:
+            val, i = _read_varint(buf, i)
+            if field_no == 1:
+                seconds = int(val)
+            elif field_no == 2:
+                nanos = int(val)
+        elif wt == 2:
+            ln, i2 = _read_varint(buf, i)
+            i = i2 + ln
+        elif wt == 1:
+            i += 8
+        elif wt == 5:
+            i += 4
+        else:
+            break
+    return seconds, nanos
+
+
+def _encode_timestamp(seconds: Optional[int], nanos: Optional[int]) -> bytes:
+    parts = bytearray()
+    if seconds is not None:
+        parts += _make_key(1, 0)
+        parts += _write_varint(int(seconds))
+    if nanos is not None:
+        parts += _make_key(2, 0)
+        parts += _write_varint(int(nanos))
+    return bytes(parts)
+
+
+def decode_server_message_data(b64url: str) -> Dict:
+    try:
+        raw = _b64url_decode_padded(b64url)
+    except Exception as e:
+        return {"error": f"base64url decode failed: {e}"}
+
+    i = 0
+    uuid: Optional[str] = None
+    seconds: Optional[int] = None
+    nanos: Optional[int] = None
+
+    while i < len(raw):
+        key, i = _read_varint(raw, i)
+        field_no = key >> 3
+        wt = key & 0x07
+        if wt == 2:
+            ln, i2 = _read_varint(raw, i)
+            i = i2
+            data = raw[i:i+ln]
+            i += ln
+            if field_no == 1:
+                try:
+                    uuid = data.decode("utf-8")
+                except Exception:
+                    uuid = None
+            elif field_no == 3:
+                s, n = _decode_timestamp(data)
+                if s is not None:
+                    seconds = s
+                if n is not None:
+                    nanos = n
+        elif wt == 0:
+            _, i = _read_varint(raw, i)
+        elif wt == 1:
+            i += 8
+        elif wt == 5:
+            i += 4
+        else:
+            break
+
+    iso_utc: Optional[str] = None
+    iso_ny: Optional[str] = None
+    if seconds is not None:
+        micros = int((nanos or 0) / 1000)
+        dt = datetime.fromtimestamp(int(seconds), tz=timezone.utc).replace(microsecond=micros)
+        iso_utc = dt.isoformat().replace("+00:00", "Z")
+        if ZoneInfo is not None:
+            try:
+                iso_ny = dt.astimezone(ZoneInfo("America/New_York")).isoformat()
+            except Exception:
+                iso_ny = None
+
+    if uuid and (seconds is not None or nanos is not None):
+        t = "UUID_AND_TIMESTAMP"
+    elif uuid:
+        t = "UUID_ONLY"
+    elif seconds is not None or nanos is not None:
+        t = "TIMESTAMP_ONLY"
+    else:
+        t = "UNKNOWN"
+
+    return {
+        "uuid": uuid,
+        "seconds": seconds,
+        "nanos": nanos,
+        "iso_utc": iso_utc,
+        "iso_ny": iso_ny,
+        "type": t,
+    }
+
+
+def encode_server_message_data(uuid: Optional[str] = None,
+                               seconds: Optional[int] = None,
+                               nanos: Optional[int] = None) -> str:
+    parts = bytearray()
+    if uuid:
+        b = uuid.encode("utf-8")
+        parts += _make_key(1, 2)
+        parts += _write_varint(len(b))
+        parts += b
+    if seconds is not None or nanos is not None:
+        ts = _encode_timestamp(seconds, nanos)
+        parts += _make_key(3, 2)
+        parts += _write_varint(len(ts))
+        parts += ts
+    return _b64url_encode_nopad(bytes(parts)) 

warp2protobuf/core/session.py

@@ -0,0 +1,133 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Global session management for Warp API
+
+Manages fixed conversation_id and task context based on real packet analysis.
+"""
+import uuid
+import time
+import asyncio
+from typing import Dict, List, Optional, Any
+from dataclasses import dataclass, field
+from .logging import logger
+
+# 全局固定的conversation_id - 所有请求都使用这个ID
+FIXED_CONVERSATION_ID = "5b48d359-0715-479e-a158-0a00f2dfea36"
+
+
+@dataclass
+class SessionMessage:
+    """Represents a message in the session history"""
+    id: str
+    role: str  # "user", "assistant", "system", "tool"
+    content: str
+    tool_calls: Optional[List[Dict]] = None
+    tool_call_id: Optional[str] = None
+    timestamp: float = field(default_factory=time.time)
+
+
+@dataclass
+class SessionState:
+    """Global session state for the fixed conversation"""
+    conversation_id: str = FIXED_CONVERSATION_ID
+    active_task_id: Optional[str] = None
+    messages: List[SessionMessage] = field(default_factory=list)
+    initialized: bool = False
+    created_at: float = field(default_factory=time.time)
+    last_activity: float = field(default_factory=time.time)
+
+
+class GlobalSessionManager:
+    """
+    Manages the global fixed session for Warp API.
+    """
+    
+    def __init__(self):
+        self._session = SessionState()
+        self._initialization_lock = asyncio.Lock()
+        logger.info(f"GlobalSessionManager initialized with fixed conversation_id: {FIXED_CONVERSATION_ID}")
+    
+    def get_fixed_conversation_id(self) -> str:
+        return FIXED_CONVERSATION_ID
+    
+    def add_message_from_openai(self, role: str, content: str, tool_calls: Optional[List[Dict]] = None, tool_call_id: Optional[str] = None) -> str:
+        message_id = f"msg-{uuid.uuid4().hex[:8]}"
+        message = SessionMessage(
+            id=message_id,
+            role=role,
+            content=content,
+            tool_calls=tool_calls,
+            tool_call_id=tool_call_id
+        )
+        
+        self._session.messages.append(message)
+        self._session.last_activity = time.time()
+        
+        logger.debug(f"Added {role} message to session: {content[:100]}...")
+        return message_id
+    
+    def get_session_history(self) -> List[SessionMessage]:
+        return self._session.messages.copy()
+    
+    def get_history_for_task_context(self) -> List[SessionMessage]:
+        return self._session.messages.copy()
+    
+    def update_session_with_openai_messages(self, openai_messages: List[Dict[str, Any]]) -> None:
+        self._session.messages.clear()
+        for msg in openai_messages:
+            role = msg.get("role", "")
+            content = msg.get("content", "")
+            tool_calls = msg.get("tool_calls")
+            tool_call_id = msg.get("tool_call_id")
+            if not content and not tool_calls and role != "tool":
+                continue
+            self.add_message_from_openai(role, content, tool_calls, tool_call_id)
+        logger.debug(f"Updated session with {len(openai_messages)} OpenAI messages")
+    
+    def extract_current_user_query(self, openai_messages: List[Dict[str, Any]]) -> Optional[str]:
+        for msg in reversed(openai_messages):
+            if msg.get("role") == "user":
+                query = msg.get("content", "")
+                logger.debug(f"Extracted current user query: {query[:100]}...")
+                return query
+        return None
+    
+    def get_history_messages_excluding_current(self, current_user_query: str) -> List[SessionMessage]:
+        history = []
+        for msg in self._session.messages:
+            if msg.role == "user" and msg.content == current_user_query:
+                continue
+            history.append(msg)
+        logger.debug(f"Retrieved {len(history)} history messages (excluding current query)")
+        return history
+    
+    def set_active_task_id(self, task_id: str) -> None:
+        self._session.active_task_id = task_id
+        logger.debug(f"Set active task_id: {task_id}")
+    
+    def get_active_task_id(self) -> Optional[str]:
+        return self._session.active_task_id
+    
+    def is_initialized(self) -> bool:
+        return self._session.initialized
+    
+    def get_stats(self) -> Dict[str, Any]:
+        return {
+            "conversation_id": self._session.conversation_id,
+            "initialized": self._session.initialized,
+            "active_task_id": self._session.active_task_id,
+            "message_count": len(self._session.messages),
+            "created_at": self._session.created_at,
+            "last_activity": self._session.last_activity
+        }
+
+
+# Global session manager instance
+_global_session: Optional[GlobalSessionManager] = None
+
+def get_global_session() -> GlobalSessionManager:
+    global _global_session
+    if _global_session is None:
+        _global_session = GlobalSessionManager()
+    return _global_session 

warp2protobuf/core/stream_processor.py

@@ -0,0 +1,334 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+流式数据包处理器
+
+处理流式protobuf数据包，支持实时解析和WebSocket推送。
+"""
+import asyncio
+import json
+import base64
+from typing import AsyncGenerator, List, Dict, Any, Optional
+from datetime import datetime
+
+from .logging import logger
+from .protobuf_utils import protobuf_to_dict
+
+
+class StreamProcessor:
+    """流式数据包处理器"""
+    
+    def __init__(self, websocket_manager=None):
+        self.websocket_manager = websocket_manager
+        self.active_streams: Dict[str, StreamSession] = {}
+        
+    async def create_stream_session(self, stream_id: str, message_type: str = "warp.multi_agent.v1.Response") -> 'StreamSession':
+        """创建流式会话"""
+        session = StreamSession(stream_id, message_type, self.websocket_manager)
+        self.active_streams[stream_id] = session
+        
+        logger.info(f"创建流式会话: {stream_id}, 消息类型: {message_type}")
+        return session
+    
+    async def get_stream_session(self, stream_id: str) -> Optional['StreamSession']:
+        """获取流式会话"""
+        return self.active_streams.get(stream_id)
+    
+    async def close_stream_session(self, stream_id: str):
+        """关闭流式会话"""
+        if stream_id in self.active_streams:
+            session = self.active_streams[stream_id]
+            await session.close()
+            del self.active_streams[stream_id]
+            logger.info(f"关闭流式会话: {stream_id}")
+    
+    async def process_stream_chunk(self, stream_id: str, chunk_data: bytes) -> Dict[str, Any]:
+        """处理流式数据块"""
+        session = await self.get_stream_session(stream_id)
+        if not session:
+            raise ValueError(f"流式会话不存在: {stream_id}")
+        
+        return await session.process_chunk(chunk_data)
+    
+    async def finalize_stream(self, stream_id: str) -> Dict[str, Any]:
+        """完成流式处理"""
+        session = await self.get_stream_session(stream_id)
+        if not session:
+            raise ValueError(f"流式会话不存在: {stream_id}")
+        
+        result = await session.finalize()
+        await self.close_stream_session(stream_id)
+        return result
+
+
+class StreamSession:
+    """流式会话"""
+    
+    def __init__(self, session_id: str, message_type: str, websocket_manager=None):
+        self.session_id = session_id
+        self.message_type = message_type
+        self.websocket_manager = websocket_manager
+        
+        self.chunks: List[bytes] = []
+        self.chunk_count = 0
+        self.total_size = 0
+        self.start_time = datetime.now()
+        
+        self.parsed_chunks: List[Dict] = []
+        self.complete_message: Optional[Dict] = None
+        
+    async def process_chunk(self, chunk_data: bytes) -> Dict[str, Any]:
+        """处理单个数据块"""
+        self.chunk_count += 1
+        self.total_size += len(chunk_data)
+        self.chunks.append(chunk_data)
+        
+        logger.debug(f"流式会话 {self.session_id}: 处理数据块 {self.chunk_count}, 大小 {len(chunk_data)} 字节")
+        
+        chunk_result = {
+            "chunk_index": self.chunk_count - 1,
+            "size": len(chunk_data),
+            "timestamp": datetime.now().isoformat()
+        }
+        
+        try:
+            chunk_json = protobuf_to_dict(chunk_data, self.message_type)
+            chunk_result["json_data"] = chunk_json
+            chunk_result["parsed_successfully"] = True
+            
+            self.parsed_chunks.append(chunk_json)
+            
+            if self.websocket_manager:
+                await self.websocket_manager.broadcast({
+                    "event": "stream_chunk_parsed",
+                    "stream_id": self.session_id,
+                    "chunk": chunk_result
+                })
+                
+        except Exception as e:
+            chunk_result["error"] = str(e)
+            chunk_result["parsed_successfully"] = False
+            logger.warning(f"数据块解析失败: {e}")
+            
+            if self.websocket_manager:
+                await self.websocket_manager.broadcast({
+                    "event": "stream_chunk_error", 
+                    "stream_id": self.session_id,
+                    "chunk": chunk_result
+                })
+        
+        return chunk_result
+    
+    async def finalize(self) -> Dict[str, Any]:
+        """完成流式处理，尝试拼接完整消息"""
+        duration = (datetime.now() - self.start_time).total_seconds()
+        
+        logger.info(f"流式会话 {self.session_id} 完成: {self.chunk_count} 块, 总大小 {self.total_size} 字节, 耗时 {duration:.2f}s")
+        
+        result = {
+            "session_id": self.session_id,
+            "chunk_count": self.chunk_count,
+            "total_size": self.total_size,
+            "duration_seconds": duration,
+            "chunks": []
+        }
+        
+        for i, chunk in enumerate(self.chunks):
+            chunk_info = {
+                "index": i,
+                "size": len(chunk),
+                "hex_preview": chunk[:32].hex() if len(chunk) >= 32 else chunk.hex()
+            }
+            
+            if i < len(self.parsed_chunks):
+                chunk_info["parsed_data"] = self.parsed_chunks[i]
+            
+            result["chunks"].append(chunk_info)
+        
+        try:
+            complete_data = b''.join(self.chunks)
+            complete_json = protobuf_to_dict(complete_data, self.message_type)
+            
+            result["complete_message"] = {
+                "size": len(complete_data),
+                "json_data": complete_json,
+                "assembly_successful": True
+            }
+            
+            self.complete_message = complete_json
+            
+            logger.info(f"流式消息拼接成功: {len(complete_data)} 字节")
+            
+        except Exception as e:
+            result["complete_message"] = {
+                "error": str(e),
+                "assembly_successful": False
+            }
+            logger.warning(f"流式消息拼接失败: {e}")
+        
+        if self.websocket_manager:
+            await self.websocket_manager.broadcast({
+                "event": "stream_completed",
+                "stream_id": self.session_id,
+                "result": result
+            })
+        
+        return result
+    
+    async def close(self):
+        """关闭会话"""
+        self.chunks.clear()
+        self.parsed_chunks.clear()
+        self.complete_message = None
+        
+        logger.debug(f"流式会话 {self.session_id} 已关闭")
+
+
+class StreamPacketAnalyzer:
+    """流式数据包分析器"""
+    
+    @staticmethod
+    def analyze_chunk_patterns(chunks: List[bytes]) -> Dict[str, Any]:
+        if not chunks:
+            return {"error": "无数据块"}
+        
+        analysis = {
+            "total_chunks": len(chunks),
+            "size_distribution": {},
+            "size_stats": {},
+            "pattern_analysis": {}
+        }
+        
+        sizes = [len(chunk) for chunk in chunks]
+        analysis["size_stats"] = {
+            "min": min(sizes),
+            "max": max(sizes),
+            "avg": sum(sizes) / len(sizes),
+            "total": sum(sizes)
+        }
+        
+        size_ranges = [(0, 100), (100, 500), (500, 1000), (1000, 5000), (5000, float('inf'))]
+        for start, end in size_ranges:
+            range_name = f"{start}-{end if end != float('inf') else '∞'}"
+            count = sum(1 for size in sizes if start <= size < end)
+            analysis["size_distribution"][range_name] = count
+        
+        if len(chunks) >= 2:
+            first_bytes = [chunk[:4].hex() if len(chunk) >= 4 else chunk.hex() for chunk in chunks[:5]]
+            analysis["pattern_analysis"]["first_bytes_samples"] = first_bytes
+            
+            if chunks:
+                common_prefix_len = 0
+                first_chunk = chunks[0]
+                for i in range(min(len(first_chunk), 10)):
+                    if all(len(chunk) > i and chunk[i] == first_chunk[i] for chunk in chunks[1:]):
+                        common_prefix_len = i + 1
+                    else:
+                        break
+                
+                if common_prefix_len > 0:
+                    analysis["pattern_analysis"]["common_prefix_length"] = common_prefix_len
+                    analysis["pattern_analysis"]["common_prefix_hex"] = first_chunk[:common_prefix_len].hex()
+        
+        return analysis
+    
+    @staticmethod
+    def extract_streaming_deltas(parsed_chunks: List[Dict]) -> List[Dict]:
+        if not parsed_chunks:
+            return []
+        
+        deltas = []
+        previous_content = ""
+        
+        for i, chunk in enumerate(parsed_chunks):
+            delta = {
+                "chunk_index": i,
+                "timestamp": datetime.now().isoformat()
+            }
+            
+            current_content = StreamPacketAnalyzer._extract_text_content(chunk)
+            
+            if current_content and current_content != previous_content:
+                if previous_content and current_content.startswith(previous_content):
+                    delta["content_delta"] = current_content[len(previous_content):]
+                    delta["delta_type"] = "append"
+                else:
+                    delta["content_delta"] = current_content
+                    delta["delta_type"] = "replace"
+                
+                delta["total_content_length"] = len(current_content)
+                previous_content = current_content
+            else:
+                delta["content_delta"] = ""
+                delta["delta_type"] = "no_change"
+            
+            if i > 0:
+                delta["field_changes"] = StreamPacketAnalyzer._compare_dicts(parsed_chunks[i-1], chunk)
+            
+            deltas.append(delta)
+        
+        return deltas
+    
+    @staticmethod
+    def _extract_text_content(data: Dict) -> str:
+        text_paths = [
+            ["content"],
+            ["text"],
+            ["message"],
+            ["agent_output", "text"],
+            ["choices", 0, "delta", "content"],
+            ["choices", 0, "message", "content"]
+        ]
+        
+        for path in text_paths:
+            try:
+                current = data
+                for key in path:
+                    if isinstance(current, dict) and key in current:
+                        current = current[key]
+                    elif isinstance(current, list) and isinstance(key, int) and 0 <= key < len(current):
+                        current = current[key]
+                    else:
+                        break
+                else:
+                    if isinstance(current, str):
+                        return current
+            except Exception:
+                continue
+        
+        return ""
+    
+    @staticmethod
+    def _compare_dicts(dict1: Dict, dict2: Dict, prefix: str = "") -> List[str]:
+        changes = []
+        
+        all_keys = set(dict1.keys()) | set(dict2.keys())
+        
+        for key in all_keys:
+            current_path = f"{prefix}.{key}" if prefix else key
+            
+            if key not in dict1:
+                changes.append(f"添加: {current_path}")
+            elif key not in dict2:
+                changes.append(f"删除: {current_path}")
+            elif dict1[key] != dict2[key]:
+                if isinstance(dict1[key], dict) and isinstance(dict2[key], dict):
+                    changes.extend(StreamPacketAnalyzer._compare_dicts(dict1[key], dict2[key], current_path))
+                else:
+                    changes.append(f"修改: {current_path}")
+        
+        return changes[:10]
+
+
+_global_processor: Optional[StreamProcessor] = None
+
+def get_stream_processor() -> StreamProcessor:
+    global _global_processor
+    if _global_processor is None:
+        _global_processor = StreamProcessor()
+    return _global_processor
+
+
+def set_websocket_manager(manager):
+    processor = get_stream_processor()
+    processor.websocket_manager = manager 

warp2protobuf/warp/__init__.py

@@ -0,0 +1,2 @@
+# Subpackage for Warp API client integrations
+__all__ = [] 

warp2protobuf/warp/api_client.py

@@ -0,0 +1,426 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Warp API客户端模块
+
+处理与Warp API的通信，包括protobuf数据发送和SSE响应解析。
+"""
+import httpx
+import os
+import base64
+import binascii
+from typing import Optional, Any, Dict
+from urllib.parse import urlparse
+import socket
+
+from ..core.logging import logger
+from ..core.protobuf_utils import protobuf_to_dict
+from ..core.auth import get_valid_jwt, acquire_anonymous_access_token
+from ..config.settings import WARP_URL as CONFIG_WARP_URL
+
+
+def _get(d: Dict[str, Any], *names: str) -> Any:
+    """Return the first matching key value (camelCase/snake_case tolerant)."""
+    for name in names:
+        if name in d:
+            return d[name]
+    return None
+
+
+def _get_event_type(event_data: dict) -> str:
+    """Determine the type of SSE event for logging"""
+    if "init" in event_data:
+        return "INITIALIZATION"
+    client_actions = _get(event_data, "client_actions", "clientActions")
+    if isinstance(client_actions, dict):
+        actions = _get(client_actions, "actions", "Actions") or []
+        if not actions:
+            return "CLIENT_ACTIONS_EMPTY"
+        
+        action_types = []
+        for action in actions:
+            if _get(action, "create_task", "createTask") is not None:
+                action_types.append("CREATE_TASK")
+            elif _get(action, "append_to_message_content", "appendToMessageContent") is not None:
+                action_types.append("APPEND_CONTENT")
+            elif _get(action, "add_messages_to_task", "addMessagesToTask") is not None:
+                action_types.append("ADD_MESSAGE")
+            elif _get(action, "tool_call", "toolCall") is not None:
+                action_types.append("TOOL_CALL")
+            elif _get(action, "tool_response", "toolResponse") is not None:
+                action_types.append("TOOL_RESPONSE")
+            else:
+                action_types.append("UNKNOWN_ACTION")
+        
+        return f"CLIENT_ACTIONS({', '.join(action_types)})"
+    elif "finished" in event_data:
+        return "FINISHED"
+    else:
+        return "UNKNOWN_EVENT"
+
+
+async def send_protobuf_to_warp_api(
+    protobuf_bytes: bytes, show_all_events: bool = True
+) -> tuple[str, Optional[str], Optional[str]]:
+    """发送protobuf数据到Warp API并获取响应"""
+    try:
+        logger.info(f"发送 {len(protobuf_bytes)} 字节到Warp API")
+        logger.info(f"数据包前32字节 (hex): {protobuf_bytes[:32].hex()}")
+        
+        warp_url = CONFIG_WARP_URL
+        
+        logger.info(f"发送请求到: {warp_url}")
+        
+        conversation_id = None
+        task_id = None
+        complete_response = []
+        all_events = []
+        event_count = 0
+        
+        verify_opt = True
+        insecure_env = os.getenv("WARP_INSECURE_TLS", "").lower()
+        if insecure_env in ("1", "true", "yes"):
+            verify_opt = False
+            logger.warning("TLS verification disabled via WARP_INSECURE_TLS for Warp API client")
+
+        async with httpx.AsyncClient(http2=True, timeout=httpx.Timeout(60.0), verify=verify_opt, trust_env=True) as client:
+            # 最多尝试两次：第一次失败且为配额429时申请匿名token并重试一次
+            for attempt in range(2):
+                jwt = await get_valid_jwt() if attempt == 0 else jwt  # keep existing unless refreshed explicitly
+                headers = {
+                    "accept": "text/event-stream",
+                    "content-type": "application/x-protobuf", 
+                    "x-warp-client-version": "v0.2025.08.06.08.12.stable_02",
+                    "x-warp-os-category": "Windows",
+                    "x-warp-os-name": "Windows", 
+                    "x-warp-os-version": "11 (26100)",
+                    "authorization": f"Bearer {jwt}",
+                    "content-length": str(len(protobuf_bytes)),
+                }
+                async with client.stream("POST", warp_url, headers=headers, content=protobuf_bytes) as response:
+                    if response.status_code != 200:
+                        error_text = await response.aread()
+                        error_content = error_text.decode('utf-8') if error_text else "No error content"
+                        # 检测配额耗尽错误并在第一次失败时尝试申请匿名token
+                        if response.status_code == 429 and attempt == 0 and (
+                            ("No remaining quota" in error_content) or ("No AI requests remaining" in error_content)
+                        ):
+                            logger.warning("WARP API 返回 429 (配额用尽)。尝试申请匿名token并重试一次…")
+                            try:
+                                new_jwt = await acquire_anonymous_access_token()
+                            except Exception:
+                                new_jwt = None
+                            if new_jwt:
+                                jwt = new_jwt
+                                # 跳出当前响应并进行下一次尝试
+                                continue
+                            else:
+                                logger.error("匿名token申请失败，无法重试。")
+                                logger.error(f"WARP API HTTP ERROR {response.status_code}: {error_content}")
+                                return f"❌ Warp API Error (HTTP {response.status_code}): {error_content}", None, None
+                        # 其他错误或第二次失败
+                        logger.error(f"WARP API HTTP ERROR {response.status_code}: {error_content}")
+                        return f"❌ Warp API Error (HTTP {response.status_code}): {error_content}", None, None
+                    
+                    logger.info(f"✅ 收到HTTP {response.status_code}响应")
+                    logger.info("开始处理SSE事件流...")
+                    
+                    import re as _re
+                    def _parse_payload_bytes(data_str: str):
+                        s = _re.sub(r"\s+", "", data_str or "")
+                        if not s:
+                            return None
+                        if _re.fullmatch(r"[0-9a-fA-F]+", s or ""):
+                            try:
+                                return bytes.fromhex(s)
+                            except Exception:
+                                pass
+                        pad = "=" * ((4 - (len(s) % 4)) % 4)
+                        try:
+                            import base64 as _b64
+                            return _b64.urlsafe_b64decode(s + pad)
+                        except Exception:
+                            try:
+                                return _b64.b64decode(s + pad)
+                            except Exception:
+                                return None
+                    
+                    current_data = ""
+                    
+                    async for line in response.aiter_lines():
+                        if line.startswith("data:"):
+                            payload = line[5:].strip()
+                            if not payload:
+                                continue
+                            if payload == "[DONE]":
+                                logger.info("收到[DONE]标记，结束处理")
+                                break
+                            current_data += payload
+                            continue
+                        
+                        if (line.strip() == "") and current_data:
+                            raw_bytes = _parse_payload_bytes(current_data)
+                            current_data = ""
+                            if raw_bytes is None:
+                                logger.debug("跳过无法解析的SSE数据块（非hex/base64或不完整）")
+                                continue
+                            try:
+                                event_data = protobuf_to_dict(raw_bytes, "warp.multi_agent.v1.ResponseEvent")
+                            except Exception as parse_error:
+                                logger.debug(f"解析事件失败，跳过: {str(parse_error)[:100]}")
+                                continue
+                            event_count += 1
+                            
+                            def _get(d: Dict[str, Any], *names: str) -> Any:
+                                for n in names:
+                                    if isinstance(d, dict) and n in d:
+                                        return d[n]
+                                return None
+                            
+                            event_type = _get_event_type(event_data)
+                            if show_all_events:
+                                all_events.append({"event_number": event_count, "event_type": event_type, "raw_data": event_data})
+                            logger.info(f"🔄 Event #{event_count}: {event_type}")
+                            if show_all_events:
+                                logger.info(f"   📋 Event data: {str(event_data)}...")
+                            
+                            if "init" in event_data:
+                                init_data = event_data["init"]
+                                conversation_id = init_data.get("conversation_id", conversation_id)
+                                task_id = init_data.get("task_id", task_id)
+                                logger.info(f"会话初始化: {conversation_id}")
+                                client_actions = _get(event_data, "client_actions", "clientActions")
+                                if isinstance(client_actions, dict):
+                                    actions = _get(client_actions, "actions", "Actions") or []
+                                    for i, action in enumerate(actions):
+                                        logger.info(f"   🎯 Action #{i+1}: {list(action.keys())}")
+                                        append_data = _get(action, "append_to_message_content", "appendToMessageContent")
+                                        if isinstance(append_data, dict):
+                                            message = append_data.get("message", {})
+                                            agent_output = _get(message, "agent_output", "agentOutput") or {}
+                                            text_content = agent_output.get("text", "")
+                                            if text_content:
+                                                complete_response.append(text_content)
+                                                logger.info(f"   📝 Text Fragment: {text_content[:100]}...")
+                                        messages_data = _get(action, "add_messages_to_task", "addMessagesToTask")
+                                        if isinstance(messages_data, dict):
+                                            messages = messages_data.get("messages", [])
+                                            task_id = messages_data.get("task_id", messages_data.get("taskId", task_id))
+                                            for j, message in enumerate(messages):
+                                                logger.info(f"   📨 Message #{j+1}: {list(message.keys())}")
+                                                if _get(message, "agent_output", "agentOutput") is not None:
+                                                    agent_output = _get(message, "agent_output", "agentOutput") or {}
+                                                    text_content = agent_output.get("text", "")
+                                                    if text_content:
+                                                        complete_response.append(text_content)
+                                                        logger.info(f"   📝 Complete Message: {text_content[:100]}...")
+                    
+                    full_response = "".join(complete_response)
+                    logger.info("="*60)
+                    logger.info("📊 SSE STREAM SUMMARY")
+                    logger.info("="*60)
+                    logger.info(f"📈 Total Events Processed: {event_count}")
+                    logger.info(f"🆔 Conversation ID: {conversation_id}")
+                    logger.info(f"🆔 Task ID: {task_id}")
+                    logger.info(f"📝 Response Length: {len(full_response)} characters")
+                    logger.info("="*60)
+                    if full_response:
+                        logger.info(f"✅ Stream processing completed successfully")
+                        return full_response, conversation_id, task_id
+                    else:
+                        logger.warning("⚠️ No text content received in response")
+                        return "Warning: No response content received", conversation_id, task_id
+    except Exception as e:
+        import traceback
+        logger.error("="*60)
+        logger.error("WARP API CLIENT EXCEPTION")
+        logger.error("="*60)
+        logger.error(f"Exception Type: {type(e).__name__}")
+        logger.error(f"Exception Message: {str(e)}")
+        logger.error(f"Request URL: {warp_url if 'warp_url' in locals() else 'Unknown'}")
+        logger.error(f"Request Size: {len(protobuf_bytes) if 'protobuf_bytes' in locals() else 'Unknown'}")
+        logger.error("Python Traceback:")
+        logger.error(traceback.format_exc())
+        logger.error("="*60)
+        raise
+
+
+async def send_protobuf_to_warp_api_parsed(protobuf_bytes: bytes) -> tuple[str, Optional[str], Optional[str], list]:
+    """发送protobuf数据到Warp API并获取解析后的SSE事件数据"""
+    try:
+        logger.info(f"发送 {len(protobuf_bytes)} 字节到Warp API (解析模式)")
+        logger.info(f"数据包前32字节 (hex): {protobuf_bytes[:32].hex()}")
+        
+        warp_url = CONFIG_WARP_URL
+        
+        logger.info(f"发送请求到: {warp_url}")
+        
+        conversation_id = None
+        task_id = None
+        complete_response = []
+        parsed_events = []
+        event_count = 0
+        
+        verify_opt = True
+        insecure_env = os.getenv("WARP_INSECURE_TLS", "").lower()
+        if insecure_env in ("1", "true", "yes"):
+            verify_opt = False
+            logger.warning("TLS verification disabled via WARP_INSECURE_TLS for Warp API client")
+
+        async with httpx.AsyncClient(http2=True, timeout=httpx.Timeout(60.0), verify=verify_opt, trust_env=True) as client:
+            # 最多尝试两次：第一次失败且为配额429时申请匿名token并重试一次
+            for attempt in range(2):
+                jwt = await get_valid_jwt() if attempt == 0 else jwt  # keep existing unless refreshed explicitly
+                headers = {
+                    "accept": "text/event-stream",
+                    "content-type": "application/x-protobuf", 
+                    "x-warp-client-version": "v0.2025.08.06.08.12.stable_02",
+                    "x-warp-os-category": "Windows",
+                    "x-warp-os-name": "Windows", 
+                    "x-warp-os-version": "11 (26100)",
+                    "authorization": f"Bearer {jwt}",
+                    "content-length": str(len(protobuf_bytes)),
+                }
+                async with client.stream("POST", warp_url, headers=headers, content=protobuf_bytes) as response:
+                    if response.status_code != 200:
+                        error_text = await response.aread()
+                        error_content = error_text.decode('utf-8') if error_text else "No error content"
+                        # 检测配额耗尽错误并在第一次失败时尝试申请匿名token
+                        if response.status_code == 429 and attempt == 0 and (
+                            ("No remaining quota" in error_content) or ("No AI requests remaining" in error_content)
+                        ):
+                            logger.warning("WARP API 返回 429 (配额用尽, 解析模式)。尝试申请匿名token并重试一次…")
+                            try:
+                                new_jwt = await acquire_anonymous_access_token()
+                            except Exception:
+                                new_jwt = None
+                            if new_jwt:
+                                jwt = new_jwt
+                                # 跳出当前响应并进行下一次尝试
+                                continue
+                            else:
+                                logger.error("匿名token申请失败，无法重试 (解析模式)。")
+                                logger.error(f"WARP API HTTP ERROR (解析模式) {response.status_code}: {error_content}")
+                                return f"❌ Warp API Error (HTTP {response.status_code}): {error_content}", None, None, []
+                        # 其他错误或第二次失败
+                        logger.error(f"WARP API HTTP ERROR (解析模式) {response.status_code}: {error_content}")
+                        return f"❌ Warp API Error (HTTP {response.status_code}): {error_content}", None, None, []
+                    
+                    logger.info(f"✅ 收到HTTP {response.status_code}响应 (解析模式)")
+                    logger.info("开始处理SSE事件流...")
+                    
+                    import re as _re2
+                    def _parse_payload_bytes2(data_str: str):
+                        s = _re2.sub(r"\s+", "", data_str or "")
+                        if not s:
+                            return None
+                        if _re2.fullmatch(r"[0-9a-fA-F]+", s or ""):
+                            try:
+                                return bytes.fromhex(s)
+                            except Exception:
+                                pass
+                        pad = "=" * ((4 - (len(s) % 4)) % 4)
+                        try:
+                            import base64 as _b642
+                            return _b642.urlsafe_b64decode(s + pad)
+                        except Exception:
+                            try:
+                                return _b642.b64decode(s + pad)
+                            except Exception:
+                                return None
+                    
+                    current_data = ""
+                    
+                    async for line in response.aiter_lines():
+                        if line.startswith("data:"):
+                            payload = line[5:].strip()
+                            if not payload:
+                                continue
+                            if payload == "[DONE]":
+                                logger.info("收到[DONE]标记，结束处理")
+                                break
+                            current_data += payload
+                            continue
+                        
+                        if (line.strip() == "") and current_data:
+                            raw_bytes = _parse_payload_bytes2(current_data)
+                            current_data = ""
+                            if raw_bytes is None:
+                                logger.debug("跳过无法解析的SSE数据块（非hex/base64或不完整）")
+                                continue
+                            try:
+                                event_data = protobuf_to_dict(raw_bytes, "warp.multi_agent.v1.ResponseEvent")
+                                event_count += 1
+                                event_type = _get_event_type(event_data)
+                                parsed_event = {"event_number": event_count, "event_type": event_type, "parsed_data": event_data}
+                                parsed_events.append(parsed_event)
+                                logger.info(f"🔄 Event #{event_count}: {event_type}")
+                                logger.debug(f"   📋 Event data: {str(event_data)}...")
+                                
+                                def _get(d: Dict[str, Any], *names: str) -> Any:
+                                    for n in names:
+                                        if isinstance(d, dict) and n in d:
+                                            return d[n]
+                                    return None
+                                
+                                if "init" in event_data:
+                                    init_data = event_data["init"]
+                                    conversation_id = init_data.get("conversation_id", conversation_id)
+                                    task_id = init_data.get("task_id", task_id)
+                                    logger.info(f"会话初始化: {conversation_id}")
+                                
+                                client_actions = _get(event_data, "client_actions", "clientActions")
+                                if isinstance(client_actions, dict):
+                                    actions = _get(client_actions, "actions", "Actions") or []
+                                    for i, action in enumerate(actions):
+                                        logger.info(f"   🎯 Action #{i+1}: {list(action.keys())}")
+                                        append_data = _get(action, "append_to_message_content", "appendToMessageContent")
+                                        if isinstance(append_data, dict):
+                                            message = append_data.get("message", {})
+                                            agent_output = _get(message, "agent_output", "agentOutput") or {}
+                                            text_content = agent_output.get("text", "")
+                                            if text_content:
+                                                complete_response.append(text_content)
+                                                logger.info(f"   📝 Text Fragment: {text_content[:100]}...")
+                                        messages_data = _get(action, "add_messages_to_task", "addMessagesToTask")
+                                        if isinstance(messages_data, dict):
+                                            messages = messages_data.get("messages", [])
+                                            task_id = messages_data.get("task_id", messages_data.get("taskId", task_id))
+                                            for j, message in enumerate(messages):
+                                                logger.info(f"   📨 Message #{j+1}: {list(message.keys())}")
+                                                if _get(message, "agent_output", "agentOutput") is not None:
+                                                    agent_output = _get(message, "agent_output", "agentOutput") or {}
+                                                    text_content = agent_output.get("text", "")
+                                                    if text_content:
+                                                        complete_response.append(text_content)
+                                                        logger.info(f"   📝 Complete Message: {text_content[:100]}...")
+                            except Exception as parse_err:
+                                logger.debug(f"解析事件失败，跳过: {str(parse_err)[:100]}")
+                                continue
+                    
+                    full_response = "".join(complete_response)
+                    logger.info("="*60)
+                    logger.info("📊 SSE STREAM SUMMARY (解析模式)")
+                    logger.info("="*60)
+                    logger.info(f"📈 Total Events Processed: {event_count}")
+                    logger.info(f"🆔 Conversation ID: {conversation_id}")
+                    logger.info(f"🆔 Task ID: {task_id}")
+                    logger.info(f"📝 Response Length: {len(full_response)} characters")
+                    logger.info(f"🎯 Parsed Events Count: {len(parsed_events)}")
+                    logger.info("="*60)
+                    
+                    logger.info(f"✅ Stream processing completed successfully (解析模式)")
+                    return full_response, conversation_id, task_id, parsed_events
+    except Exception as e:
+        import traceback
+        logger.error("="*60)
+        logger.error("WARP API CLIENT EXCEPTION (解析模式)")
+        logger.error("="*60)
+        logger.error(f"Exception Type: {type(e).__name__}")
+        logger.error(f"Exception Message: {str(e)}")
+        logger.error(f"Request URL: {warp_url if 'warp_url' in locals() else 'Unknown'}")
+        logger.error(f"Request Size: {len(protobuf_bytes) if 'protobuf_bytes' in locals() else 'Unknown'}")
+        logger.error("Python Traceback:")
+        logger.error(traceback.format_exc())
+        logger.error("="*60)
+        raise

warp2protobuf/warp/response.py

@@ -0,0 +1,204 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Warp API response parsing
+
+Handles parsing of protobuf responses and extraction of OpenAI-compatible content.
+"""
+from typing import Optional, Dict, List, Any
+
+from ..core.logging import logger
+from ..core.protobuf import ensure_proto_runtime, msg_cls
+
+
+def extract_openai_content_from_response(payload: bytes) -> dict:
+    """
+    Extract OpenAI-compatible content from Warp API response payload.
+    """
+    if not payload:
+        logger.debug("extract_openai_content_from_response: payload is empty")
+        return {"content": None, "tool_calls": [], "finish_reason": None, "metadata": {}}
+
+    logger.debug(f"extract_openai_content_from_response: processing payload of {len(payload)} bytes")
+
+    hex_dump = payload.hex()
+    logger.debug(f"extract_openai_content_from_response: complete payload hex: {hex_dump}")
+
+    try:
+        ensure_proto_runtime()
+        ResponseEvent = msg_cls("warp.multi_agent.v1.ResponseEvent")
+        response = ResponseEvent()
+        response.ParseFromString(payload)
+
+        result = {"content": "", "tool_calls": [], "finish_reason": None, "metadata": {}}
+
+        if response.HasField("client_actions"):
+            for i, action in enumerate(response.client_actions.actions):
+                if action.HasField("append_to_message_content"):
+                    message = action.append_to_message_content.message
+                    if message.HasField("agent_output"):
+                        agent_output = message.agent_output
+                        if agent_output.text:
+                            result["content"] += agent_output.text
+                        if agent_output.reasoning:
+                            if "reasoning" not in result:
+                                result["reasoning"] = ""
+                            result["reasoning"] += agent_output.reasoning
+                    if message.HasField("tool_call"):
+                        tool_call = message.tool_call
+                        openai_tool_call = {
+                            "id": getattr(tool_call, 'id', f"call_{i}"),
+                            "type": "function",
+                            "function": {
+                                "name": getattr(tool_call, 'name', getattr(tool_call, 'function_name', 'unknown')),
+                                "arguments": getattr(tool_call, 'arguments', getattr(tool_call, 'parameters', '{}'))
+                            }
+                        }
+                        result["tool_calls"].append(openai_tool_call)
+                elif action.HasField("add_messages_to_task"):
+                    for j, msg in enumerate(action.add_messages_to_task.messages):
+                        if msg.HasField("agent_output") and msg.agent_output.text:
+                            result["content"] += msg.agent_output.text
+                        if msg.HasField("tool_call"):
+                            tool_call = msg.tool_call
+                            tool_name = "unknown"
+                            tool_args = "{}"
+                            tool_call_id = getattr(tool_call, 'tool_call_id', f"call_{i}_{j}")
+                            for field, value in tool_call.ListFields():
+                                if field.name == 'tool_call_id':
+                                    continue
+                                tool_name = field.name
+                                if hasattr(value, 'ListFields'):
+                                    tool_fields_dict = {}
+                                    for tool_field, tool_value in value.ListFields():
+                                        if isinstance(tool_value, str):
+                                            tool_fields_dict[tool_field.name] = tool_value
+                                        elif hasattr(tool_value, '__len__') and not isinstance(tool_value, str):
+                                            tool_fields_dict[tool_field.name] = list(tool_value)
+                                        else:
+                                            tool_fields_dict[tool_field.name] = str(tool_value)
+                                    if tool_fields_dict:
+                                        import json
+                                        tool_args = json.dumps(tool_fields_dict)
+                                break
+                            openai_tool_call = {
+                                "id": tool_call_id,
+                                "type": "function",
+                                "function": {"name": tool_name, "arguments": tool_args}
+                            }
+                            result["tool_calls"].append(openai_tool_call)
+                elif action.HasField("update_task_message"):
+                    umsg = action.update_task_message.message
+                    if umsg.HasField("agent_output") and umsg.agent_output.text:
+                        result["content"] += umsg.agent_output.text
+                elif action.HasField("create_task"):
+                    task = action.create_task.task
+                    for j, msg in enumerate(task.messages):
+                        if msg.HasField("agent_output") and msg.agent_output.text:
+                            result["content"] += msg.agent_output.text
+                elif action.HasField("update_task_summary"):
+                    summary = action.update_task_summary.summary
+                    if summary:
+                        result["content"] += summary
+        if response.HasField("finished"):
+            result["finish_reason"] = "stop"
+        result["metadata"] = {
+            "response_fields": [field.name for field, _ in response.ListFields()],
+            "has_client_actions": response.HasField("client_actions"),
+            "payload_size": len(payload)
+        }
+        return result
+    except Exception as e:
+        logger.error(f"extract_openai_content_from_response: exception occurred: {e}")
+        import traceback
+        logger.error(f"extract_openai_content_from_response: traceback: {traceback.format_exc()}")
+        return {"content": None, "tool_calls": [], "finish_reason": "error", "metadata": {"error": str(e)}}
+
+
+def extract_text_from_response(payload: bytes) -> Optional[str]:
+    result = extract_openai_content_from_response(payload)
+    return result["content"] if result["content"] else None
+
+
+def extract_openai_sse_deltas_from_response(payload: bytes) -> List[Dict[str, Any]]:
+    if not payload:
+        return []
+    try:
+        ensure_proto_runtime()
+        ResponseEvent = msg_cls("warp.multi_agent.v1.ResponseEvent")
+        response = ResponseEvent()
+        response.ParseFromString(payload)
+        deltas = []
+        if response.HasField("client_actions"):
+            for i, action in enumerate(response.client_actions.actions):
+                if action.HasField("append_to_message_content"):
+                    message = action.append_to_message_content.message
+                    if message.HasField("agent_output"):
+                        agent_output = message.agent_output
+                        if agent_output.text:
+                            deltas.append({"choices": [{"index": 0, "delta": {"content": agent_output.text}, "finish_reason": None}]})
+                        if agent_output.reasoning:
+                            deltas.append({"choices": [{"index": 0, "delta": {"reasoning": agent_output.reasoning}, "finish_reason": None}]})
+                    if message.HasField("tool_call"):
+                        tool_call = message.tool_call
+                        deltas.append({"choices": [{"index": 0, "delta": {"role": "assistant"}, "finish_reason": None}]})
+                        openai_tool_call = {
+                            "id": getattr(tool_call, 'tool_call_id', f"call_{i}"),
+                            "type": "function",
+                            "function": {
+                                "name": getattr(tool_call, 'name', 'unknown'),
+                                "arguments": getattr(tool_call, 'arguments', '{}')
+                            }
+                        }
+                        deltas.append({"choices": [{"index": 0, "delta": {"tool_calls": [openai_tool_call]}, "finish_reason": None}]})
+                elif action.HasField("add_messages_to_task"):
+                    for j, msg in enumerate(action.add_messages_to_task.messages):
+                        if msg.HasField("agent_output") and msg.agent_output.text:
+                            deltas.append({"choices": [{"index": 0, "delta": {"content": msg.agent_output.text}, "finish_reason": None}]})
+                        if msg.HasField("tool_call"):
+                            tool_call = msg.tool_call
+                            if j == 0:
+                                deltas.append({"choices": [{"index": 0, "delta": {"role": "assistant"}, "finish_reason": None}]})
+                            tool_call_id = getattr(tool_call, 'tool_call_id', f"call_{i}_{j}")
+                            tool_name = "unknown"
+                            tool_args = "{}"
+                            for field, value in tool_call.ListFields():
+                                if field.name == 'tool_call_id':
+                                    continue
+                                tool_name = field.name
+                                if hasattr(value, 'ListFields'):
+                                    tool_fields_dict = {}
+                                    for tool_field, tool_value in value.ListFields():
+                                        if isinstance(tool_value, str):
+                                            tool_fields_dict[tool_field.name] = tool_value
+                                        elif hasattr(tool_value, '__len__') and not isinstance(tool_value, str):
+                                            tool_fields_dict[tool_field.name] = list(tool_value)
+                                        else:
+                                            tool_fields_dict[tool_field.name] = str(tool_value)
+                                    if tool_fields_dict:
+                                        import json
+                                        tool_args = json.dumps(tool_fields_dict)
+                                break
+                            openai_tool_call = {"id": tool_call_id, "type": "function", "function": {"name": tool_name, "arguments": tool_args}}
+                            deltas.append({"choices": [{"index": 0, "delta": {"tool_calls": [openai_tool_call]}, "finish_reason": None}]})
+                elif action.HasField("update_task_message"):
+                    umsg = action.update_task_message.message
+                    if umsg.HasField("agent_output") and umsg.agent_output.text:
+                        deltas.append({"choices": [{"index": 0, "delta": {"content": umsg.agent_output.text}, "finish_reason": None}]})
+                elif action.HasField("create_task"):
+                    task = action.create_task.task
+                    for j, msg in enumerate(task.messages):
+                        if msg.HasField("agent_output") and msg.agent_output.text:
+                            deltas.append({"choices": [{"index": 0, "delta": {"content": msg.agent_output.text}, "finish_reason": None}]})
+                elif action.HasField("update_task_summary"):
+                    summary = action.update_task_summary.summary
+                    if summary:
+                        deltas.append({"choices": [{"index": 0, "delta": {"content": summary}, "finish_reason": None}]})
+        if response.HasField("finished"):
+            deltas.append({"choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}]})
+        return deltas
+    except Exception as e:
+        logger.error(f"extract_openai_sse_deltas_from_response: exception occurred: {e}")
+        import traceback
+        logger.error(f"extract_openai_sse_deltas_from_response: traceback: {traceback.format_exc()}")
+        return []