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systemPrompt: 'You are a coding agent. Use tools when needed.',\n})\n\nconst itemId = session.send(\n  'Create hello.txt in the current directory and write hello world into it.',\n)\n\nfor await (const event of session.receive()) {\n  if (event.itemId !== itemId) continue\n  if (event.type === 'text_delta') process.stdout.write(event.delta)\n  if (event.type === 'done') console.log(event.message.content)\n}\n```\n\nWhen a session has tools available, the runtime also injects an internal tool-call JSON contract into the effective system prompt.\nModels are told to emit one complete JSON object per tool call.\nIf a streamed tool call still arrives with malformed pre-execution JSON, the SDK now surfaces it as a failed recoverable `tool_result`, stores that failed result in session history when the tool name is known, and keeps the run alive instead of failing the whole item immediately.\nThe SDK also owns transcript tool-call consistency. Snapshot restore normalizes legacy/OpenAI-shaped `assistant.tool_calls` and `tool.tool_call_id` / `call_id` / `callId` fields, preserves assistant messages whose only meaningful content is `toolCalls`, repairs contiguous orphan tool results by backfilling synthetic assistant tool calls, and compensates missing tool results with recovered failed `tool` messages. These recovered results mark unknown historical failures; the real tool execution state remains unknown. Before provider dispatch, unrepairable tool history raises `InvalidToolMessageHistoryError` locally with message index, ids, and request/session/turn metadata, so OpenAI-compatible providers do not receive malformed `messages`.\n\n## Usage ledger\n\n`Session.usage` remains the compatibility mirror of total session usage.\nThe canonical source now lives in `usageLedger`, with request-, turn-, and session-level views.\n\n```ts\nconst itemId = session.send('Summarize the latest tool results.')\n\nfor await (const event of session.receive()) {\n  if (event.itemId !== itemId) continue\n  if (event.type === 'turn_usage') {\n    console.log(event.summary.totalUsage.totalTokens)\n  }\n}\n\nconsole.log(session.getUsageSummary().totalUsage.totalTokens)\nconsole.log(session.getTurnUsage(itemId)?.breakdown)\nconsole.log(session.listRequestUsages({ kind: 'auto_compaction' }))\n```\n\nDirect gateway calls can also opt into the same ledger:\n\n```ts\nfor await (const event of agent.services.model.stream(request, {\n  usage: {\n    sessionId: session.id,\n    kind: 'manual_compaction',\n  },\n})) {\n  console.log(event.type)\n}\n```\n\n## Persistence\n\n`SessionSnapshot` stays as the full export/restore shape, including `usageLedger`.\nBuilt-in persistence now stores main session state and usage ledger separately:\n\n- `FileStateStore` writes `<encodeURIComponent(sessionId)>.json` for the main snapshot\n- `FileStateStore` writes `<encodeURIComponent(sessionId)>.usage.json` for the session usage ledger\n- `transformSnapshot` only rewrites the main snapshot path\n- `load()` hydrates the sidecar ledger back into the returned `SessionSnapshot`\n\nCustom stores now implement the split persistence contract:\n\n```ts\nimport type { StateStoreSaveInput } from '@archships/dim-agent-sdk'\n\nasync function save(input: StateStoreSaveInput) {\n  console.log(input.snapshot.sessionId)\n  console.log(input.usageLedger.summary.totalUsage.totalTokens)\n}\n```\n\n## Observability JSONL logging\n\nAgent-level observability records SDK public APIs, state transitions, hooks, model requests, provider and plugin network requests, tool calls, usage finalization, persistence, approvals, notifications, services, and process subagent IPC as JSONL. Each queued user item carries `traceId` and `turnId`, and operation rows use paired `start` plus `success` or `error` phases.\n\n```ts\nimport path from 'node:path'\nimport { createAgent, createModel, createOpenAIAdapter } from '@archships/dim-agent-sdk'\n\nconst model = createModel(\n  createOpenAIAdapter({\n    apiKey: process.env.OPENAI_API_KEY,\n    baseUrl: 'https://api.openai.com/v1',\n    defaultModel: 'gpt-4o-mini',\n  }),\n)\n\nconst agent = createAgent({\n  model,\n  cwd: process.cwd(),\n  observability: {\n    logFilePath: path.join(process.cwd(), 'logs/dim-sdk.jsonl'),\n    sanitizer: {\n      maxStringLength: 4000,\n      maxArrayItems: 128,\n    },\n    streamBodies: {\n      enabled: true,\n      directory: path.join(process.cwd(), 'logs/streams'),\n    },\n  },\n})\n\nagent.setObservabilityEnabled(false, { reason: 'maintenance window' })\nagent.setObservabilityEnabled(true, { reason: 'resume diagnostics' })\n```\n\nThe first row is `sdk.meta`, including SDK/package, Node/process, OS, and allowlisted environment metadata. Model streams emit two rows by default: `model.request` `start` with stream metadata, then `model.request` `success` / `error` with stream metadata plus a summary. `api.session.receive.event` keeps streaming delta event boundaries while replacing delta text with `deltaLength` by default. Set `streamEvents.detail: true` to add sanitized `model.event` rows and keep receive-event delta payloads. Adapter-level `debug.logFilePath` remains available for provider-only compatibility logs; new host integrations should prefer `createAgent({ observability })`.\n\n## Runtime inspection\n\nThe SDK exposes a read-only inspection service at `agent.services.inspect` for host diagnostics.\n\n## Manual\n\n- Developer manual: [docs/manual/README.md](../../docs/manual/README.md)\n- Chinese guide: [docs/manual/zh/README.md](../../docs/manual/zh/README.md)\n- English guide: [docs/manual/en/README.md](../../docs/manual/en/README.md)\n- SDK API reference (zh): [docs/manual/zh/sdk-api-reference.md](../../docs/manual/zh/sdk-api-reference.md)\n- Plugin API reference (zh): [docs/manual/zh/plugin-api-reference.md](../../docs/manual/zh/plugin-api-reference.md)\n- SDK API reference (en): [docs/manual/en/sdk-api-reference.md](../../docs/manual/en/sdk-api-reference.md)\n- Plugin API reference (en): [docs/manual/en/plugin-api-reference.md](../../docs/manual/en/plugin-api-reference.md)\n- Host integration cookbook: start in [docs/manual/en/sdk.md](../../docs/manual/en/sdk.md) or [docs/manual/zh/sdk.md](../../docs/manual/zh/sdk.md)\n\n## Included core capabilities\n\n- Canonical content / message / tool / model / state contracts\n- Canonical message content aligned to AI SDK V3 prompt parts: `text` and `file`\n- `createAgent()` -> `Agent` -> `Session`\n- Queue-first session flow: `send()`, `sendBatch()`, `steer()`, `receive()`, `getQueueStatus()`\n- Long-lived host hygiene: `Session.dispose()` releases session-scoped runtime registrations and controller-owned resources when a session is no longer needed\n- Session events: `text_delta`, optional `thinking_delta`, `tool_call_start`, `tool_call_args_delta`, `tool_call_end`, `tool_call`, `plugin_event`, recoverable and regular `tool_result`, `usage_recorded`, `turn_usage`, `done`, `error`\n- Provider adapters: `openai-compatible`, `openai-responses`, `anthropic`, `gemini`, `zenmux`, `aihubmix`, `aihubmix-responses`, `moonshotai`, `deepseek`, `xai`, `xai-responses`\n- Builtin tools: `read`, `write`, `edit`, `exec`\n- Builtin `read` returns UTF-8 text as line-numbered windows with full-file revision tracking, locally paginates oversized text windows with continuation notices instead of using the SDK-global `<persisted-output>` path, and can also project common raster images into synthetic `user` file context when the active model advertises image input support\n- Hook-first plugin integration\n- Host-layer ordered subagents with `SubagentOrchestrator`, `InProcessSessionSubagentExecutor`, `ProcessSessionSubagentExecutor`, and `SubagentProcessRegistry`\n- Runtime gateways: file system, git, exec, network, model\n- Host inspection: `agent.services.inspect` for agent/session/persistence snapshots\n- Namespaced plugin session state with snapshot restore support\n- In-memory and file-based persistence\n\n## Hook support\n\nSupported public hooks in the current runtime:\n\n- `run.start`\n- `tool.beforeExecute`\n- `tool.afterExecute`\n- `context.compact.before`\n- `notify.message`\n- `run.stop`\n- `run.end`\n- `session.error`\n\nReserved / experimental hook names that are typed but not wired into the runtime yet:\n\n- `subagent.stop`\n\nCurrent failure policy:\n\n- Sync middleware is blocking and fail-fast\n- Observers are best-effort\n- `mode: 'async'` is observer-only\n- `timeoutMs` applies per hook handler\n\n## Official plugin packages\n\n| Package                               | Support level | Notes                                                                                                             |\n| ------------------------------------- | ------------- | ----------------------------------------------------------------------------------------------------------------- |\n| `@archships/dim-plugin-auto-compact`  | supported     | Official auto compaction plugin; requires `compaction.compactorPluginId: 'auto-compact'`                              |\n| `@archships/dim-plugin-grep-glob`     | supported     | Registers `grep` and `glob` filesystem tools with relative and absolute path overrides                            |\n| `@archships/dim-plugin-mcp-client`    | supported     | Controller-driven MCP client for session-scoped server connections and tool injection; use `@archships/dim-agent-sdk >= 0.0.23` and `@archships/dim-plugin-api >= 0.0.9`; host-only prompt/context/tool injection remains compatible |\n| `@archships/dim-plugin-skills`        | supported     | Metadata-first file-backed skills plugin with `<skills_instructions>` catalog metadata, `skill: name` trigger guidance, a model-callable `skill` loader tool, and a catalog session controller |\n| `@archships/dim-plugin-plan-mode`     | supported     | Session-scoped planning guardrail with host-data-backed drafts, restricted `exec`, and `plan_read` / `plan_write`; use `@archships/dim-agent-sdk >= 0.0.23` and `@archships/dim-plugin-api >= 0.0.9` |\n| `@archships/dim-plugin-memory`        | experimental   | Placeholder package; not part of the current supported surface yet                                                |\n| `@archships/dim-plugin-web`           | experimental   | Placeholder package; not part of the current supported surface yet                                                |\n| `@archships/dim-plugin-scheduler`     | experimental   | Placeholder package; not part of the current supported surface yet                                                |\n| `@archships/dim-plugin-research-mode` | experimental   | Evidence-first research guardrail with a session controller, staged prompt injection, research state, and `delegate_tasks` guidance |\n\n## Compaction and state model\n\n- `session.messages` always keeps the full original history for UI and restore\n- `systemPrompt` is text-only; user messages can carry mixed `text` + `file` content\n- Canonical request projection is controlled by SDK compaction state: `cursor`, `systemSegments`, `checkpoints`\n- Once compaction is active, the request projection realigns `cursor` to a real user boundary, injects the retained anchor user first, and replays `systemSegments` as a synthetic summary `user` message instead of a tail `system` message\n- `SubagentProcessRuntimeProfile.compaction` configures compaction for child-owned `process` sessions; profiles that set `compactorPluginId` should also install the matching compactor plugin\n- `process` subagents inherit parent runtime model capabilities only when the child process factory returns the same provider / model id and leaves that capability field unset; different-model profiles should expose image input and context-window support from their own model factory options\n- `Session.getStatus()` returns the canonical read-only session status snapshot used by hook runtime context\n- `Session.getUsageSummary()`, `getUsageLedger()`, `getTurnUsage()`, `listTurnUsages()`, and `listRequestUsages()` expose semantic usage queries without reconstructing totals from `done.usage`\n- `Session.getPlugin(pluginId)` returns a session-scoped plugin controller when the plugin exposes one\n- `agent.services.inspect` exposes read-only agent config, live session state, and persisted snapshot summaries without leaking mutable runtime internals\n- `Session.dispose()` unregisters the session from compaction and plugin-state services, and also disposes session-scoped plugin controllers such as `mcp-client`\n- Plugins can persist their own namespaced session state through `pluginState`\n- If `compaction.compactorPluginId` is configured, only that plugin can write canonical compaction through plugin services\n- `Session.compact()` remains available as an app-level override\n- `run.end` keeps final message rewrite support; usage rewrite is retired and hooks now observe `usageSummary`\n- `buildCompactionBudget(options, estimatedInputTokens, { contextWindow, plannedOutput })` and `calculateThresholdTokens(options, targets)` are exported for hosts that want to compute the same `threshold = contextWindow − max(effectiveO, contextWindow × safetyRatio)` the SDK uses (`safetyRatio` defaults to `DEFAULT_COMPACTION_SAFETY_RATIO = 0.2`; `effectiveO` caps `plannedOutput` and falls back to the safety floor when it claims more than 60% of the window)\n- `Session.getCurrentContextSize()`, `Session.ensureCurrentContextSize()`, `Session.countTokens(request)`, and `Session.getCompactionBudget({ plannedOutput? })` let hosts observe the SDK's own post-hook budgeting without rebuilding the math\n- `isContextWindowExceededError(error)` is a provider-agnostic classifier for context-window-exceeded errors surfaced by `ModelGateway.stream`\n- If threshold compaction still cannot fit the next request, the runtime can do one bounded recovery pass that rewrites only the newest oversized result payloads (`tool` outputs and subagent parent-commit packages) into short overflow summaries before finally raising `context_compaction_required`\n- Hook handlers receive the same canonical status through `context.status`, without exposing full message history or other plugins' state\n- `Session.getStatus().capabilities` mirrors runtime model input capabilities, and builtin `read` uses that signal to decide whether a local image should stay metadata-only or be injected as synthetic `user` image context; same-model `process` subagents inherit missing capabilities for this path\n\n## Provider notes\n\n- `createOpenAIAdapter()`: OpenAI-compatible Chat Completions style; maps `reasoning_content` / `reasoning` into `thinking_delta` and replays assistant `thinking` back upstream\n- `createOpenAIResponsesAdapter()`: official OpenAI Responses API; maps reasoning summaries into `thinking_delta`, sends full canonical history by default, only reuses `previousResponseId` when `usePreviousResponseId: true`, and accepts request-level `providerOptions.openai` transport fields for `prompt_cache_key` and custom headers\n- `createAnthropicAdapter()`: maps Claude thinking blocks into `thinking_delta`; when overriding `baseUrl`, the adapter appends `/v1` if it is missing; Anthropic-compatible routes now auto-inject explicit prompt caching unless `cache.mode` is set to `'off'`\n- `createGeminiAdapter()`: maps Gemini thought parts into `thinking_delta`\n- `createZenMuxAdapter()`: ZenMux adapter; routes `anthropic/*` models through `https://zenmux.ai/api/anthropic/v1/messages` and sends every other model through the official ZenMux OpenAI-compatible endpoint at `https://zenmux.ai/api/v1/chat/completions`. `baseUrl` is kept for compatibility but ignored at runtime.\n- `createAihubmixAdapter()` / `createAihubmixResponsesAdapter()`: AIHubMix chat + responses adapters; chat forwards reasoning effort into AIHubMix-compatible request bodies, and the `responses` variant sends full canonical history by default, only reuses `previousResponseId` when `usePreviousResponseId: true`, and honors custom `fetch` overrides for transport/auth wiring. If you omit `apiKey`, you must inject the real upstream authentication inside custom `fetch`.\n- `createMoonshotAIAdapter()`: MoonshotAI language model adapter with thinking budget mapping\n- `createDeepSeekAdapter()`: DeepSeek chat adapter with reasoning -> `thinking_delta`\n- `createXaiAdapter()` / `createXaiResponsesAdapter()`: xAI chat + responses adapters; the `responses` variant now sends full canonical history by default and only reuses `previousResponseId` when `usePreviousResponseId: true`\n- Builtin `exec` now publishes a flat top-level object schema and rejects action-incompatible fields as request errors. Anthropic-compatible adapters remove top-level `oneOf` / `anyOf` / `allOf` during transport projection; OpenAI-compatible and Responses families for OpenAI-compatible, OpenAI Responses, ZenMux non-Anthropic, AIHubMix chat / responses, xAI chat / responses, DeepSeek, and MoonshotAI also remove top-level `enum` / `not`; Gemini keeps the original schema unchanged.\n- Builtin `exec` foreground commands wait up to 5 seconds before moving still-running commands to background managed-task messaging and completion notifications.\n- Official adapters use realtime upstream streaming by default. Set adapter `streamMode: 'buffered'` or request `streamMode: 'buffered'` to replay a completed response instead.\n- Session runtime fills missing `maxOutputTokens` with `4000` after `model.request` middleware runs. Direct `model.stream()` calls still pass through whatever the caller provides.\n- The SDK no longer injects implicit workspace context into model requests; if the model needs file or Git state, let it call tools explicitly.\n- Builtin `read` returns line-numbered, revision-tracked text windows for UTF-8 files, while `png` / `jpg` / `jpeg` / `gif` / `webp` use `fileSystem.readBytes()` and, when the active model advertises `capabilities.modalities.input: ['image']`, append a synthetic `user` file message after the tool receipt so providers receive a normal image input instead of tool-result media. In `process` subagents, identical child provider / model ids inherit missing parent capabilities before this decision runs.\n- Builtin providers are also available from public subpaths such as `@archships/dim-agent-sdk/providers/openai` and `@archships/dim-agent-sdk/providers/xai-responses`\n- Published packages ship these public entrypoints directly; consumers should not import `dist/src/*` or patch `node_modules` after install\n- Other deep internal imports are not part of the public API, even though package-local tests use path aliases against `src/*`\n- Custom providers can follow the same factory pattern via `@archships/dim-agent-sdk/providers/core`; implement `stream()` for realtime deltas, `generate()` for buffered results, or both\n\nOpenAI Responses request transport:\n\n- `providerOptions.openai.promptCacheKey` maps to the `/responses` body field `prompt_cache_key`\n- `providerOptions.openai.requestHeaders` merge into the outgoing HTTP headers for that request, so gateways can receive values such as `session_id`\n\n```ts\nimport {\n  createModel,\n  createOpenAIResponsesAdapter,\n  type OpenAIResponsesRequestProviderOptions,\n} from '@archships/dim-agent-sdk'\n\nconst model = createModel(\n  createOpenAIResponsesAdapter({\n    apiKey: process.env.OPENAI_API_KEY,\n    defaultModel: 'o4-mini',\n  }),\n)\n\nconst requestProviderOptions = {\n  promptCacheKey: runtimePromptCacheKey,\n  requestHeaders: {\n    session_id: runtimeSessionId,\n  },\n} satisfies OpenAIResponsesRequestProviderOptions\n\nfor await (const event of model.stream({\n  messages,\n  providerOptions: {\n    openai: requestProviderOptions,\n  },\n})) {\n  console.log(event.type)\n}\n```\n\nAnthropic-compatible prompt caching defaults:\n\n- `cache.mode` defaults to `'auto'`\n- `cache.ttl` defaults to `'5m'`\n- `cache: { mode: 'off' }` disables SDK-managed `cache_control` injection\n- explicit `providerOptions.anthropic.cacheControl` on a message, content block, or tool definition is forwarded unchanged and disables auto injection for that request\n\n```ts\nimport { createProviderFactory } from '@archships/dim-agent-sdk/providers/core'\n```\n\n## Demo\n\nProvider-free demos:\n\n- `pnpm run demo:host`: approval + notification host control-plane walkthrough\n- `pnpm run demo:persistence`: `FileStateStore` + `session.save()` + `restoreSession()` walkthrough\n- `pnpm run demo:plan-mode`: official session-scoped plugin controller + `hostDataDir` walkthrough\n- `pnpm run demo:compaction`: scripted compaction runtime walkthrough\n- `pnpm run demo:auto-compact`: scripted official auto compact plugin demo\n- `pnpm run demo:subagents`: scripted ordered subagent walkthrough for `in-process` and child-owned `process` modes\n\nProvider-backed demos:\n\n- `pnpm run demo:openai`: builtin tools smoke demo\n- `pnpm run demo:hooks`: Hook v2 scenario runner\n\nRepo demo files:\n\n- `packages/dim-agent-sdk/demo/host-control-plane-scripted.ts`\n- `packages/dim-agent-sdk/demo/persistence-scripted.ts`\n- `packages/dim-agent-sdk/demo/plan-mode-plugin.ts`\n- `packages/dim-agent-sdk/demo/compaction-scripted.ts`\n- `packages/dim-agent-sdk/demo/auto-compact-plugin.ts`\n- `packages/dim-agent-sdk/demo/subagents-scripted.ts`\n- `packages/dim-agent-sdk/demo/openai-tools.ts`\n- `packages/dim-agent-sdk/demo/openai-hooks.ts`\n\n`demo:hooks` currently runs these provider-backed scenarios:\n\n- `lifecycle`\n- `approval-deny`\n- `synthetic-result`\n- `notification-control`\n- `stop-finalize`\n\nProvider-backed demos use `createOpenAIAdapter()` against the OpenAI-compatible Chat API and require `DIM_TEST_API_KEY`, `DIM_TEST_BASE_URL`, and optional `DIM_TEST_MODEL_ID`.\n\nPlan mode v2 notes:\n\n- plan drafts live under `<hostDataDir>/plans/<sessionId>/plan.md`\n- host applications drive plan mode through `session.getPlugin('plan-mode')`\n- `plan_write` is the only writable artifact exposed to the model while plan mode is active\n- `enable()` / `disable()` changes affect the next run, not the current in-flight run\n- `agent.deleteSession(sessionId)` removes both the persisted snapshot and the matching plan draft directory\n\n## Testing\n\nLocal repository verification is split into three layers:\n\n- Local workspace development expects Node.js `20.19+` or `22.12+` because repository verification uses official `Vite 7 + Vitest + Oxlint`.\n- `pnpm run test`: full local regression, including deterministic `test/e2e/*.e2e.test.ts`\n- `pnpm run test:e2e`: deterministic end-to-end workflows for `plan-mode`, code-agent tool loops, auto-compact restore, and approval / permission boundaries\n- `pnpm run test:plugins`: focused plugin contract and integration tests\n- `pnpm run test:smoke`: env-gated provider smoke for `provider-tools`, `provider-hooks`, `provider-plan-mode`, and `provider-subagent-process`; excludes long-task\n- `pnpm run test:smoke:providers`: focused multi-provider builtin-tool smoke in `test/smoke/provider-tools.smoke.ts`\n- `pnpm run test:smoke:long-task`: default manual OpenAI-compatible long-task smoke; it currently aliases the `guides` case without subagents\n- `pnpm run test:smoke:long-task:subagents`: the same default `guides` case with host-owned delegation plus child-owned `process` subagents enabled through `DIM_TEST_LONG_TASK_SUBAGENTS=1`\n- `pnpm run test:smoke:long-task:guides` / `pnpm run test:smoke:long-task:guides:subagents`: explicit beginner-guide generation case for `modelinfo-cli`\n- `pnpm run test:smoke:long-task:rust-port` / `pnpm run test:smoke:long-task:rust-port:subagents`: review-oriented Rust port case for the same reference repo\n\nThe provider smoke layer reuses:\n\n- `DIM_TEST_API_KEY`\n- `DIM_TEST_BASE_URL`\n- `DIM_TEST_BASE_URL_ANTHROPIC` (optional; enables the Anthropic smoke lane)\n- `DIM_TEST_MODEL_ID` (optional)\n- `DIM_TEST_LONG_TASK_CASE` (optional; `guides` by default, also supports `rust-port`)\n- `DIM_TEST_LONG_TASK_SUBAGENTS` (optional; only `1` enables the subagent mode for the long-task smoke)\n\nThe focused multi-provider tools smoke loads repo-root `.env.smoke` automatically. Start from `.env.smoke.example`, fill only the providers you want to run, and use per-provider keys such as `DIM_TEST_OPENAI_API_KEY`, `DIM_TEST_OPENAI_MODEL_ID`, and optional `DIM_TEST_OPENAI_BASE_URL`. ZenMux is the exception: `DIM_TEST_ZENMUX_BASE_URL` is ignored because `createZenMuxAdapter()` now pins the official ZenMux endpoints, and you can optionally add `DIM_TEST_ZENMUX_ANTHROPIC_MODEL_ID` to create a second ZenMux smoke lane that exercises the Anthropic-compatible route. That smoke keeps its temporary workdirs under `os.tmpdir()/dim-sdk-provider-smoke/<provider-id>/run-*` and removes each run directory after the test finishes.\n\nSmoke tests assert stable invariants such as tool calls, `plugin_event`, notifications, and on-disk side effects. They intentionally avoid exact natural-language output matching unless the smoke is explicitly about artifact structure.\nThe long-task smoke is tuned for diagnosis as much as pass/fail: it runs only through the OpenAI-compatible adapter, reuses a generic harness plus named cases, and preserves both the final workspace and debug logs for inspection. The default `guides` case generates beginner-friendly Markdown guides for every tracked file; the `rust-port` case asks the model to translate the same reference repo into a reviewable Rust cargo project. Every run now prints and writes a unified summary with host rounds, model turns, tool-call count, total tokens, cache/token detail breakdowns when the provider exposes them, delegation/process-batch counts, and case-specific stats. It also writes a full-fidelity session timeline array to `logs/long-task-session.json`, alongside the staged debug logs in `logs/long-task-smoke.jsonl`, so parent and delegated child context can be replayed during debugging. Those staged diagnostics now include explicit `compaction_notification` and `compaction_state_after_hook` entries, which makes it much easier to see whether auto compact triggered and why it still failed to bring the request back under budget. Ordered subagents remain opt-in through `pnpm run test:smoke:long-task:subagents` or `DIM_TEST_LONG_TASK_SUBAGENTS=1`.\n","readmeFilename":"README.md"}