fix(opencode): считать реальный прогресс стрима для idle-детекции

Растущий в один text-парт стрим (text-delta) и reasoning больше не
выглядят как зависшая нейронка: idle-таймер сбрасывается по росту
числа партов и суммарной длины text/reasoning.

.serena/project.yml

@@ -1,39 +1,6 @@
-# the name by which the project can be referenced within Serena
+# the name by which the project can be referenced within Serena/when chatting with the LLM.
 project_name: "ratatoskr-go"
 
-
-# list of languages for which language servers are started; choose from:
-#   al                  angular             ansible             bash                clojure
-#   cpp                 cpp_ccls            crystal             csharp              csharp_omnisharp
-#   dart                elixir              elm                 erlang              fortran
-#   fsharp              go                  groovy              haskell             haxe
-#   hlsl                html                java                json                julia
-#   kotlin              lean4               lua                 luau                markdown
-#   matlab              msl                 nix                 ocaml               pascal
-#   perl                php                 php_phpactor        powershell          python
-#   python_jedi         python_ty           r                   rego                ruby
-#   ruby_solargraph     rust                scala               scss                solidity
-#   svelte              swift               systemverilog       terraform           toml
-#   typescript          typescript_vts      vue                 yaml                zig
-#   (This list may be outdated. For the current list, see values of Language enum here:
-#   https://github.com/oraios/serena/blob/main/src/solidlsp/ls_config.py
-#   For some languages, there are alternative language servers, e.g. csharp_omnisharp, ruby_solargraph.)
-# Note:
-#   - For C, use cpp
-#   - For JavaScript, use typescript
-#   - For Angular projects, use angular (subsumes typescript+html; requires `npm install` in the project root)
-#   - For Svelte projects, use svelte (subsumes typescript/javascript for .svelte projects; requires npm)
-#   - For SCSS / Sass / plain CSS, use scss (some-sass-language-server handles all three)
-#   - For Free Pascal/Lazarus, use pascal
-# Special requirements:
-#   Some languages require additional setup/installations.
-#   See here for details: https://oraios.github.io/serena/01-about/020_programming-languages.html#language-servers
-# When using multiple languages, the first language server that supports a given file will be used for that file.
-# The first language is the default language and the respective language server will be used as a fallback.
-# Note that when using the JetBrains backend, language servers are not used and this list is correspondingly ignored.
-languages:
-- go
-
 # the encoding used by text files in the project
 # For a list of possible encodings, see https://docs.python.org/3.11/library/codecs.html#standard-encodings
 encoding: "utf-8"
@@ -55,23 +22,19 @@ ignore_all_files_in_gitignore: true
 
 # advanced configuration option allowing to configure language server-specific options.
 # Maps the language key to the options.
-# Have a look at the docstring of the constructors of the LS implementations within solidlsp (e.g., for C# or PHP) to see which options are available.
+# The settings are considered only if the project is trusted (see global configuration to define trusted projects).
-# No documentation on options means no options are available.
+# See https://oraios.github.io/serena/02-usage/050_configuration.html#language-server-specific-settings
 ls_specific_settings: {}
 
-# list of additional workspace folder paths for cross-package reference support (e.g. in monorepos).
-# Paths can be absolute or relative to the project root.
-# Each folder is registered as an LSP workspace folder, enabling language servers to discover
-# symbols and references across package boundaries.
-# Currently supported for: TypeScript.
-# Example:
-#   additional_workspace_folders:
-#     - ../sibling-package
-#     - ../shared-lib
-additional_workspace_folders: []
-
 # list of additional paths to ignore in this project.
 # Same syntax as gitignore, so you can use * and **.
+# Important: quote patterns that start with `*`, otherwise YAML treats them as aliases.
+# Example:
+#   ignored_paths:
+#     - "examples/**"
+#     - ".worktrees/**"
+#     - "**/bin/**"
+#     - "**/obj/**"
 # Note: global ignored_paths from serena_config.yml are also applied additively.
 ignored_paths: []
 
@@ -131,3 +94,76 @@ read_only_memory_patterns: []
 # Extends the list from the global configuration, merging the two lists.
 # Example: ["_archive/.*", "_episodes/.*"]
 ignored_memory_patterns: []
+
+# list of additional workspace folder paths for cross-package reference support.
+# Paths can be absolute or relative to the project root.
+# Each folder is registered as an LSP workspace folder, enabling language servers to discover
+# symbols and references across package boundaries, but these folders are not indexed by Serena,
+# i.e. the respective symbols will not be found using Serena's symbol search tools.
+# Example:
+#   additional_workspace_folders:
+#     - ../sibling-package
+#     - ../shared-lib
+ls_additional_workspace_folders: []
+
+# list of language servers to start when using the LSP backend; choose from:
+#   ada                    al                     angular                ansible                bash
+#   bsl                    clojure                cpp                    cpp_ccls               crystal
+#   csharp                 csharp_omnisharp       cue                    dart                   deno
+#   elixir                 elm                    erlang                 fortran                fsharp
+#   gdscript               gleam                  go                     groovy                 haskell
+#   haxe                   hlsl                   html                   java                   json
+#   julia                  kotlin                 latex                  lean4                  lua
+#   luau                   markdown               matlab                 msl                    nextflow
+#   nix                    ocaml                  pascal                 perl                   php
+#   php_phpactor           php_phpantom           powershell             python                 python_basedpyright
+#   python_jedi            python_pyrefly         python_ty              qml                    r
+#   rego                   ruby                   ruby_solargraph        rust                   scala
+#   scss                   solidity               svelte                 swift                  systemverilog
+#   terraform              toml                   typescript             typescript_vts         vue
+#   wolfram                yaml                   zig
+#   (This list may be outdated; generated with scripts/print_language_list.py;
+#   For the current list, see values of the LanguageServerId enum here:
+#   https://github.com/oraios/serena/blob/main/src/solidlsp/ls_config.py)
+# For some languages, there are several alternative language servers, e.g. csharp_omnisharp, ruby_solargraph.)
+# Note:
+#   - For C, use cpp
+#   - For JavaScript, use typescript
+#   - For Angular projects, use angular (subsumes typescript+html; requires `npm install` in the project root)
+#   - For Svelte projects, use svelte (subsumes typescript/javascript for .svelte projects; requires npm)
+#   - For Deno projects, use deno (serves the same .ts/.js files as typescript; requires the deno CLI on PATH)
+#   - For SCSS / Sass / plain CSS, use scss (some-sass-language-server handles all three)
+#   - For Free Pascal/Lazarus, use pascal
+# Special requirements:
+#   Some language servers require additional setup/installations.
+#   See here for details: https://oraios.github.io/serena/01-about/020_programming-languages.html#language-servers
+# When using multiple language servers, the first language server that supports a given file will be used for that file.
+# The first language server is the default language and the respective language server will be used as a fallback.
+# Note that when using the JetBrains backend, language servers are not used and this list is correspondingly ignored.
+language_servers:
+- go
+
+# list of workspace folder paths (LSP backend only).
+# These folders will be used to build up Serena's symbol index.
+# Paths must be within the project root and should thus be relative to the project root.
+# Furthermore, the paths should not be filtered by ignore settings.
+# Default setting: The entire project root folder (".") is considered.
+# In (large) monorepos, this can be used to index only subfolders of the project root, e.g.
+#   ls_workspace_folders:
+#     - "./subproject1"
+#     - "./subproject2"
+ls_workspace_folders:
+- .
+
+# optional shell command to run before the language backend (LSP or JetBrains) is initialised.
+# the command runs in the project root directory and is only executed if the project is trusted
+# (see trusted_project_path_patterns in the global configuration).
+# serena waits for the command to exit: a non-zero exit code is logged as an error but does not
+# abort activation. a per-project timeout (activation_command_timeout, default 180s) is the safety
+# backstop for non-terminating commands; on expiry the process is killed and activation continues.
+# example: activation_command: "npx nx run-many -t build"
+activation_command:
+
+# maximum time in seconds to wait for activation_command to complete before killing it (default 180s).
+# must be a positive number.
+activation_command_timeout: 180.0

internal/opencode/client.go

@@ -292,6 +292,22 @@ func newestAssistant(msgs []v2Message, since int64) (*v2Message, int) {
 	return newest, count
 }
 
+// progressOf — «живой» прогресс новых assistant-сообщений: число контент-партов
+// (text/reasoning/tool) + суммарная длина их текста. Растёт во время стриминга,
+// когда один и тот же парт увеличивается (и при reasoning), — это и есть
+// сигнал, что LLM работает, а не висит.
+func progressOf(msgs []v2Message, since int64) (parts, textLen int) {
+	for _, m := range assistantSince(msgs, since) {
+		for _, p := range m.Content {
+			parts++
+			if p.Type == "text" || p.Type == "reasoning" {
+				textLen += len(p.Text)
+			}
+		}
+	}
+	return
+}
+
 // assistantText объединяет text-парты новых assistant-сообщений в хронологическом
 // порядке (сообщения приходят новейшими первыми → идём с конца).
 func assistantText(msgs []v2Message, since int64) []string {

internal/opencode/client_test.go

@@ -6,6 +6,7 @@ import (
 	"errors"
 	"net/http"
 	"net/http/httptest"
+	"strings"
 	"testing"
 	"time"
 )
@@ -16,7 +17,10 @@ import (
 //   - нормальный: Prompt ставит active=false и в messages кладётся финальное
 //     assistant-сообщение (verdictText) → Runner собирает вердикт;
 //   - blockPrompt: «агент завис» — active=true всегда, сообщений нет → idle abort;
-//   - failCreate / failMessages — имитация ошибок.
+//   - failCreate / failMessages — имитация ошибок;
+//   - growStream: стрим одного растущего парта — текст/reasoning растёт с
+//     каждым опросом GET /message (streamPolls раз), active=true, затем
+//     active=false + финальное завершённое сообщение.
 type fakeAPIServer struct {
 	sessionID  string
 	created    bool
@@ -28,6 +32,14 @@ type fakeAPIServer struct {
 	failMessages bool
 	createdModel *ModelRef // модель, полученная на POST /api/session
 	promptCalls int
+
+	// streamGrow: стрим одного растущего парта — текст/reasoning растёт с
+	// каждым опросом GET /message, active=true, пока messageCalls не дойдёт до
+	// streamPolls; затем active=false + финальное завершённое сообщение.
+	streamGrow      bool
+	streamReasoning bool   // растущий парт — reasoning вместо text
+	streamPolls     int    // сколько опросов длится «стрим» до завершения
+	messageCalls    int
 }
 
 func (f *fakeAPIServer) handler() http.Handler {
@@ -96,6 +108,27 @@ func (f *fakeAPIServer) handler() http.Handler {
 			http.Error(w, "db error", http.StatusInternalServerError)
 			return
 		}
+		if f.streamGrow {
+			f.messageCalls++
+			now := time.Now().UnixMilli()
+			done := f.messageCalls >= f.streamPolls
+			msg := v2Message{ID: "msg_stream", Type: "assistant", Time: v2Time{Created: &now}}
+			switch {
+			case done:
+				msg.Content = []v2Part{{Type: "text", Text: "done-stream"}}
+				msg.Finish = "end_turn"
+				msg.Time.Completed = &now
+				f.active = false
+			case f.streamReasoning:
+				msg.Content = []v2Part{{Type: "reasoning", Text: strings.Repeat("r", f.messageCalls)}}
+				f.active = true
+			default:
+				msg.Content = []v2Part{{Type: "text", Text: strings.Repeat("x", f.messageCalls)}}
+				f.active = true
+			}
+			writeJSON(w, map[string]any{"data": []v2Message{msg}})
+			return
+		}
 		msgs := f.messages
 		if msgs == nil && f.verdictText != "" && !f.blockPrompt {
 			msgs = []v2Message{f.assistantMsg(f.verdictText)}

internal/opencode/runner.go

@@ -120,9 +120,10 @@ func (r *Runner) awaitVerdict(ctx context.Context, c *Client, model *ModelRef, s
 		admittedAt = adm.TimeCreated
 	}
 
-	// Прогресс = число text-партов в новых assistant-сообщениях. Рост сбрасывает
+	// Прогресс = число контент-партов + суммарная длина их текста в новых
-	// idle-таймер (LLM стримит = жив).
+	// assistant-сообщениях (progressOf). Рост сбрасывает idle-таймер: LLM
-	lastCount := -1
+	// стримит (даже в один растущий text-парт) или думает (reasoning) = жив.
+	lastParts, lastTextLen := -1, -1
 	lastProgress := time.Now()
 	launch := time.Now()
 
@@ -164,10 +165,11 @@ func (r *Runner) awaitVerdict(ctx context.Context, c *Client, model *ModelRef, s
 			return nil, err
 		}
 
-		cur, count := newestAssistant(msgs, admittedAt)
+		cur, _ := newestAssistant(msgs, admittedAt)
-		if count != lastCount {
+		parts, textLen := progressOf(msgs, admittedAt)
+		if parts != lastParts || textLen != lastTextLen {
 			lastProgress = time.Now()
-			lastCount = count
+			lastParts, lastTextLen = parts, textLen
 		}
 		now := time.Now()
 		if now.Sub(lastProgress) > r.IdleTimeout {

internal/opencode/runner_test.go

@@ -70,6 +70,46 @@ func TestRun_IdleTimeout(t *testing.T) {
 	}
 }
 
+func TestRun_StreamingGrowth(t *testing.T) {
+	t.Setenv("XDG_CONFIG_HOME", t.TempDir())
+	dir := t.TempDir()
+	// стрим: один text-парт растёт с каждым опросом (дольше, чем idle timeout),
+	// но модель жива → idle НЕ должен сработать.
+	f := &fakeAPIServer{streamGrow: true, streamPolls: 30}
+	p, _ := fakePool(t, f, dir)
+
+	r := &Runner{Pool: p, IdleTimeout: 60 * time.Millisecond,
+		PollInterval: 5 * time.Millisecond, Stdout: io.Discard}
+	res, err := r.Run(context.Background(), "task", dir, "dev", "")
+	if err != nil {
+		t.Fatalf("Run err: %v", err)
+	}
+	if res.RC != 0 {
+		t.Errorf("RC = %d, want 0 (растущий стрим не должен считаться hung)", res.RC)
+	}
+	if !contains(res.Stdout, "done-stream") {
+		t.Errorf("Stdout = %q, want contain done-stream", res.Stdout)
+	}
+}
+
+func TestRun_ReasoningGrowth(t *testing.T) {
+	t.Setenv("XDG_CONFIG_HOME", t.TempDir())
+	dir := t.TempDir()
+	// стрим: растёт только reasoning-парт (текста нет) — тоже живая активность.
+	f := &fakeAPIServer{streamGrow: true, streamReasoning: true, streamPolls: 30}
+	p, _ := fakePool(t, f, dir)
+
+	r := &Runner{Pool: p, IdleTimeout: 60 * time.Millisecond,
+		PollInterval: 5 * time.Millisecond, Stdout: io.Discard}
+	res, err := r.Run(context.Background(), "task", dir, "dev", "")
+	if err != nil {
+		t.Fatalf("Run err: %v", err)
+	}
+	if res.RC != 0 {
+		t.Errorf("RC = %d, want 0 (растущий reasoning не должен считаться hung)", res.RC)
+	}
+}
+
 func TestRun_ContextCancel(t *testing.T) {
 	t.Setenv("XDG_CONFIG_HOME", t.TempDir())
 	dir := t.TempDir()