{"type":"session","version":3,"id":"019e6b73-aeba-715f-82b0-94eb70ca028b","timestamp":"2026-05-27T22:00:04.027Z","cwd":"/home/sebas"}
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{"type":"message","id":"ec4827b1","parentId":"5622271f","timestamp":"2026-05-27T22:00:18.486Z","message":{"role":"user","content":[{"type":"text","text":"[telegram] how do we set up a deepseek api key to pi?"}],"timestamp":1779919218475}}
{"type":"message","id":"27b08b0a","parentId":"ec4827b1","timestamp":"2026-05-27T22:00:24.446Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering user query about Pi CLI**\n\nThe user likely wants a concise answer related to the Pi CLI or service configuration. I need to determine if \"Pi\" refers to a personal agent. My response could include a generic explanation involving environment variables. It might be helpful to inspect the documentation or search the repository for deepseek to clarify further. Let’s make sure I provide the most useful information possible!","thinkingSignature":"{\"id\":\"rs_0f48e77c48749cb1016a17697400b4819b9bd9f87883bd0043\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqF2l47eBTpScilwgZ1FP8yYwpBYjAFBFlt7SWR6pjVqErE2xqv3z_vIHBa_n5OvIwv91I_XTwxPwSQcJZqSKwIiUVT6x5vjyCwjmfy0up_tUzLh_O6MqD-fX2VTdf_eigjPJH7oqoN_t-qi6tEYIfS2CzWH7lQqG_GfsAhR4Ae06KFfGVByTfVH82g2eudczAYLa5XrZTAy6P6cuwRvwJ7_GtrviS70tc2zbYlfw0aANxWozKkJCRm7HbBPjMU6ofCEpXM8SWWoYLjeBtTLpygWw1qenhxO4nsWoDLsAK1QCUXifgOjcCvC7q_ZnhTTtNd7wvWfSShBMPITNLyDQO9lDzhq_5z53MRK3lnTjFxoS_IBRQ--nEysjLyuAXJqJJm-CooGqRt651YppSjbXro8j_DUnygA20j_vErdCpHYSDoTBXIRgDAgl0jtfLaDAE9tnAEZAp8rFDf856w9BjC-537JmepHGJAMqJYtmphCroP9D3FZt-8egeU1mVNTqYkTBJis1awktfCCdRgxo123PstYTeHMw-CuvMURbqXn4MYyWeNgWR7V9AMG8NtRNIc9IqFYUELGP_PWb2jUqvnP19FzKJWRwEnUrID58dtBMme3UmKNfW8d2BlDHbdqrbi_mUYL5HN4mPihp4Vx3E85GsNG1nHv4d-wytcbrZ1wxDFDF1OLtYjQD0Mpw23-_UO0UiwrqwrisCiG3Uhuv3IKV21ZqON9l2O23NVukMlwiHpwcVLGupKlcmNLhcaYGs3r_z86tJxDM7adYYEWuy9MIqNmIjw0aR-rpP-vcD2RSJ4gXBzvghOHMFNL4DFo_yb4cMQRfIAlmtfCzNTL7kEyQOrlgHrY3rFcGO7UXv5AoZ4dhdx4X7SLRDzcutiP3snwfxXkKZi3Op_iOWWL-H0vFJhR2B-bh8y297tpIX0leQkPk4oE4nEyAKQgm3GkBTPhSdUFQodWtGr8H0dgaYhioYDcfUq0q4l7L8uYUr2RcmfvyG6M4kNh_Pw7b_MqFz-IUd-DHGhoDC1lm-p8KfBKC-F1E15Uu1gcjduQSa9_WClWX37qEgrQ1pUymUdyFgGZUXf5Ouj9M_8c449hkh4MhAKlk7sFM95dx71arnL7_LNEEOk5YeL2ZFlm-H94nJKtx6ZT3D9lfuOiQY2sHqw5WcMg==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering user query about Pi CLI**\\n\\nThe user likely wants a concise answer related to the Pi CLI or service configuration. I need to determine if \\\"Pi\\\" refers to a personal agent. My response could include a generic explanation involving environment variables. It might be helpful to inspect the documentation or search the repository for deepseek to clarify further. Let’s make sure I provide the most useful information possible!\"}]}"},{"type":"toolCall","id":"call_G6RboFbqo5NStCQnQgHQTdnT|fc_0f48e77c48749cb1016a17697851b4819b8c0265c743e90512","name":"bash","arguments":{"command":"cd /home/sebas && rg -n \"deepseek|DEEPSEEK|OPENAI_API_KEY|ANTHROPIC_API_KEY\" pi-config .agents -S --hidden --glob '!**/node_modules/**'","timeout":10}},{"type":"toolCall","id":"call_m99OQbDBHdziNgbxFCtrgSha|fc_0f48e77c48749cb1016a17697851c4819b8335428852963d46","name":"read","arguments":{"path":"/home/sebas/pi-config/AGENTS.md","offset":1,"limit":220}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":5389,"output":160,"cacheRead":0,"cacheWrite":0,"totalTokens":5549,"cost":{"input":0.013472500000000002,"output":0.0024000000000000002,"cacheRead":0,"cacheWrite":0,"total":0.0158725}},"stopReason":"toolUse","timestamp":1779919218487,"responseId":"resp_0f48e77c48749cb1016a1769737230819bb8aa55ee765523e5"}}
{"type":"message","id":"74e47d62","parentId":"27b08b0a","timestamp":"2026-05-27T22:00:24.486Z","message":{"role":"toolResult","toolCallId":"call_G6RboFbqo5NStCQnQgHQTdnT|fc_0f48e77c48749cb1016a17697851b4819b8c0265c743e90512","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1779919224485}}
{"type":"message","id":"d33b7d27","parentId":"74e47d62","timestamp":"2026-05-27T22:00:24.487Z","message":{"role":"toolResult","toolCallId":"call_m99OQbDBHdziNgbxFCtrgSha|fc_0f48e77c48749cb1016a17697851c4819b8335428852963d46","toolName":"read","content":[{"type":"text","text":"# Personal Agent\n\n## Communication\n- Caveman full. Active every response.\n- Short, direct, low-noise.\n- No filler, pleasantries, hedging, verbal tics.\n- Avoid repetition at all costs. Do not restate the same point with different wording unless repetition materially improves clarity or safety.\n- Keep tech terms exact. Fragments OK.\n- Ask only if scope, risk, or success changes.\n- No drift unless user says `normal mode` or `stop caveman`.\n- Code, commands, commits, PR text: normal technical form.\n\n## Intent\n- Optimize business impact.\n- Chase real objective, not surface ask.\n- Once clear, execute end to end.\n- Prioritize completeness: do not stop at plausible code when truthful validation is still missing.\n- Routine choices: decide and move.\n- Follow-up instructions inside an active task go into the todo list first; do not derail into immediate side work unless the user explicitly changes priority.\n- Pause only for blockers, contradictions, irreversible actions, or real scope shift.\n- Use subagents for recon, parallel work, or context isolation, but do not optimize for parallelization unless time pressure justifies it.\n- Prefer `ralph-loop-run` when the work is a bounded multi-pass audit, migration, or hardening pass on one repo and can be driven through shared `TASKS.md` / `STATE.md` handoff.\n- Good `ralph-loop-run` cases: accessibility sweeps, focused polish passes, test/backfill passes, real-backend migrations, and other cumulative review loops where each pass should pick up exactly where the previous one stopped.\n- Do not define Ralph loops mainly by a fixed number of passes. Default objective is to run until one goal gate is true: `done`, `blocked_with_reason`, or `needs_user_decision`.\n- Before meaningful execution, lock the intent frame when not already explicit: objective, binary done gate, exclusions, and reality constraints that decide whether a feature is truthful.\n- Goal gates that express user intent, business outcome, exclusions, or what counts as truly done should come from the user when unclear. Do not invent intent gates by yourself when doubt remains; ask and lock them first.\n- Push the user for clearer intent early when ambiguity threatens completeness, validation, or product truth.\n- You may derive technical checklists, feature states, and validator markers after intent gates are clear, but not substitute your own guessed intent for the user's done criteria.\n- Every Ralph loop must carry a binary checklist for visible success criteria. Validator tail checks that list item by item; no soft \"mostly done\" verdicts.\n- Use explicit feature states in loop artifacts for every visible feature: `real_working`, `real_read_only`, `blocked_hidden`, or `unknown_do_not_show`.\n- Hard rule: if a feature depends on business truth, never present fake/local placeholder backend as real. Validator must fail immediately on that condition.\n- Prefer pruning, disabling, or hiding uncertain features over shipping ambiguous half-working behavior.\n- Default `ralph-loop-run` expectation: open passes continue only while they make material progress. Material progress means at least one of: code change, state change, evidence gain, risk reduction, or unblock path.\n- If a pass makes no material progress, the next pass must not continue normally. It must replan, switch tools/approach, or end in `blocked_with_reason` / `needs_user_decision`.\n- Reserve the tail of the loop for validation. The closing sequence is validator -> bounded repair if safe -> mandatory revalidation. Stop only after clean revalidation, explicit blocked state, or explicit user decision.\n- The validator should report-only instead of self-repair only when the fix changes scope, raises meaningful risk, or needs user judgment.\n- Let validator prune visible scope when needed. If a feature has no confirmed real endpoint or truthful implementation, hide or disable it rather than leaving it half-working.\n- Leave this visible in loop artifacts. `STATE.md` should name whether the closing pass was `validator`, `repair`, or `revalidation`, and should also track `candidate_done`, `validator_status`, `repair_applied`, and `revalidation_status`.\n- Avoid `ralph-loop-run` for one-shot tasks, broad open-ended exploration, or work that needs rich parallel branching more than strict sequential handoff.\n- Use Agents Database as durable shared memory.\n- Prefer saving durable memory at session end via session analysis, not mid-conversation.\n- Save mid-conversation only when the user explicitly asks, handoff risk is high, or the information would likely be lost before session end.\n- Save high-signal prefs, decisions, project facts, reusable artifacts, and brief handoff context.\n- Prefer few strong memories over many noisy ones.\n- Leave durable artifacts aggressively: concise notes, decision records, validation evidence, and handoff summaries that make future sessions cheaper.\n- Product sense is part of execution: suggest simplifications, scope cuts, UX cleanup, and truth-preserving alternatives when they improve the actual outcome.\n- Compression matters: final communication should minimize words without dropping decision-relevant detail.\n- This Pi config repo is the place to evolve these rules.\n\n## Rules\n- Irreversible actions need explicit confirmation.\n- Never merge or push to main without user confirmation.\n- Stay direct and low-noise.\n- Call out contradictions when they matter.\n- Code, commands, commits, PR text: normal technical form.\n\n## Machine Context\n- Machine: `ballbox-first`.\n- Do not SSH into `ballbox-first` for normal local work.\n- This Pi is workstation + server for Sebas.\n- \"the server\" usually means this machine unless user says other.\n\n## Server Details\n- Hostname: `ballbox-first.emperor-ratio.ts.net`\n- Tailscale IP: `100.116.176.16`\n- Runs 24/7\n- Nginx on `:80` routes local services\n- `agents-database`: `http://100.116.176.16:8091/api/status`\n\n## Web Exposure / Tailscale\n- For local web apps, prefer nginx on `localhost:80`, then `tailscale serve`.\n- Prefer subpaths like `/cli/` before `/` when portal/home exists.\n- If app only lives in Tailscale, disable local auth when it adds no value and tailnet already gates access.\n- If you share any link with Sebas, prefer the full clickable URL, not relative paths, route fragments, or bare local file paths.\n- If you generate a file Sebas may open from another device, return the full clickable URL when possible.\n- Prefer: `https://ballbox-first.emperor-ratio.ts.net/files/...`\n- Do not expose the local username in shared file URLs unless required.\n- Preferred path mapping: `/home/sebas/...` -> `/files/...`, `/mnt/...` -> `/files/mnt/...`.\n- Legacy compatibility: old `/files/home/...` links should redirect to `/files/...`.\n\n## tmux / TUI\n- tmux/persistence architecture: `/home/sebas/pi-config/SERVICES-ARCHITECTURE.md`.\n- That doc is source of truth for `pitmux`, `piresume`, scroll, bindings, persistence model.\n- If you touch tmux or `pi` launcher, update that file first.\n\n## Storage Layout\n- Canonical layout doc: `/home/sebas/pi-config/docs/system-layout.md`.\n- Prefer canonical home-first roots in `/home/sebas` for config, runtime, work trees, outputs, and docs.\n- Runtime plane: `/home/sebas/runtime`.\n- Work plane: `/home/sebas/work`.\n- Use `/mnt/rpi` only when it has an explicit special-storage role, not as the default agent plane.\n\n## Task System\n- Canonical task-system doc: `/home/sebas/pi-config/docs/task-system.md`.\n- Use `BACKLOG.md` for shaping/research, `TASKS.md` for actionable work, `DONE.md` for completions, and session `todo` for live execution state.\n- Concrete tasks should have a workspace folder under `/home/sebas/work/tasks/T-xxx/` for notes and small artifacts.\n- Repo-local task systems are allowed; global docs track cross-session outcome/priority, repo-local docs track implementation detail.\n\n## /tmp Cleanup\n- Use `bin/tmp-cleanup` for top-level `/tmp` files older than 3 days.\n- Install via `scripts/install-tmp-cleanup-cron.sh`.\n\n## Laptop Helpers\n- CLI helpers exist for Sebas's laptop via Tailnet SSH-over-TCP.\n- Default host: `brag-pipe-fur-kneel.emperor-ratio.ts.net`.\n- Default port: `2222`.\n- Default key: `~/.ssh/id_ed25519_laptop_agent`.\n- Helpers:\n  - `laptop-read <remote-path>`: remote cat over SSH.\n  - `laptop-run <cmd ...>`: remote command over SSH.\n  - `laptop-rsync <src> <dest> [extra args]`: rsync via SSH.\n  - `laptop-mount`, `laptop-umount`, `laptop-write`: access/copy flows.\n- If you need laptop IP/host, use `tailscale status --json` and look for MacBook peers.\n- If task says \"files on the laptop\", use these helpers instead of manual SSH.\n\n## Telegram\n- Vars:\n  - `TELEGRAM_BOT_TOKEN`\n  - `TELEGRAM_CHAT_ID`\n- Notify:\n```bash\n~/.agents/skills/telegram-notify/telegram-notify \"Message\"\n```\n- If a Telegram user sends literal `/new`, do not treat it as normal chat. Acknowledge briefly and run `/home/sebas/pi-config/bin/pi-telegram-new-session` to rotate the tmux-backed Telegram Pi session.\n"}],"isError":false,"timestamp":1779919224486}}
{"type":"message","id":"b3affb1d","parentId":"d33b7d27","timestamp":"2026-05-27T22:00:29.730Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0f48e77c48749cb1016a1769792aa8819b8354c6c36816a2d5\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqF2l9yanYPcBBOLr492g-4YGD5qTtA3gTEZon5UhvM7HgavVoLIVsE77oNzWDRxXEAXkt-8bLeyK9gSFtFBAdQdAehA4nJWPYG4ijKiPunrEmm3A4gNB-ZEXyILK9q4e99K-61-K5ac5t0wupYZng9etQ75eCJAbto5TwLIEJ5iNl1nGCj-OjQtVbXD8qt_v66mxqs8S1XegYxy8c9ikFq9Ew8HiWM94iemHbStbQq9lKV72MM-PPNAtozPGkPe_NJrQDXGZ_MAY8fjOyYTbJGVdbxO5SFoFR9IISkT0esCo6UD9xcYR4pIMLwzWChV9yNrSXHFGwDw1trf_Y9gInQY2S1Umm0fiR_Uv1oADBCP8sQZplFaggCqilPF8lYw6T8LfLJztQMxd7mf_Pi3I_VLRMYxf7RX5MQlFbdmHbCaWMXQE39ic6sN4bIEoRBbtZBdPSEaovH23OgiimagA6j3fBzqOLixZy44KTi1RK8JNDePuE8gJkTFRNu7w12Z-1zHqhZix7d6PdoLvApl2KBcyfTP7cJhy6K0ul7b4OYebyspttxBR13J873zFM2quPEj8rRMnX7ufQBg6UIgr4KfG86EjGb9eROb-E5g4Y4_aNvkFQZU-Ej4OWU5d0IQbmCmky4oEVd2rsWB2eEB1Xjzhp1JpReJybnBa5OzwMAmUeG9znMHWu7kIEZK2nn737YtEKtPACTfSxbJK5aRhUb-rrF6of003PktTVT4vNGJ8nRftkAgv2wMFaKbBtwPHaTF5jj2P3OGQKMVVaEO1JMYa6F6f4yIA_R93gB8c-_ebNhNP--rRfspezE4spNTeucOXdpd8GT0W0qCrJeN6sA5E4O6H92AYbJNkQJG26iXartTo0OV7nVvAFm8R4zzyfzV8ag11ZEMCgEE9pmUyh43nk5k_OUaBC_7aeyviHIyMH5aL3WYjoRdWhSo3k-MY507dNvS2Kz0rnZFlMShSPo6dyvQ==\",\"summary\":[]}"},{"type":"toolCall","id":"call_OmFErCG929FWXdVXmk1eeGxI|fc_0f48e77c48749cb1016a17697d68b0819ba0801db61649af14","name":"bash","arguments":{"command":"cd /home/sebas && rg -n \"deepseek|DEEPSEEK|api key|OPENAI_API_KEY|ANTHROPIC_API_KEY|OPENROUTER_API_KEY\" /home/sebas -S --hidden --glob '!**/node_modules/**' --glob '!**/.git/**'","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":2492,"output":102,"cacheRead":5120,"cacheWrite":0,"totalTokens":7714,"cost":{"input":0.00623,"output":0.0015300000000000001,"cacheRead":0.0012799999999999999,"cacheWrite":0,"total":0.00904}},"stopReason":"toolUse","timestamp":1779919224487,"responseId":"resp_0f48e77c48749cb1016a176978a844819bad89d890209b387c"}}
{"type":"message","id":"885a84ea","parentId":"b3affb1d","timestamp":"2026-05-27T22:00:49.742Z","message":{"role":"toolResult","toolCallId":"call_OmFErCG929FWXdVXmk1eeGxI|fc_0f48e77c48749cb1016a17697d68b0819ba0801db61649af14","toolName":"bash","content":[{"type":"text","text":"/home/sebas/.pi/agent/sessions/--mnt-rpi--/2026-04-16T19-33-46-674Z_019d97c9-0431-734a-b9ce-92b7cb3e75df.jsonl:116:{\"type\":\"message\",\"id\":\"849bdd3e\",\"parentId\":\"48225515\",\"timestamp\":\"2026-04-16T20:20:39.163Z\",\"message\":{\"role\":\"toolResult\",\"toolCallId\":\"call_874riH7xe3F8M1Cl9734bvZq|fc_09ce6544570a8b100169e14496c6dc819390e7efa2e4206d31\",\"toolName\":\"read\",\"content\":[{\"type\":\"text\",\"text\":\"> pi can help you use the SDK. Ask it to build an integration for your use case.\\n\\n# SDK\\n\\nThe SDK provides programmatic access to pi's agent capabilities. Use it to embed pi in other applications, build custom interfaces, or integrate with automated workflows.\\n\\n**Example use cases:**\\n- Build a custom UI (web, desktop, mobile)\\n- Integrate agent capabilities into existing applications\\n- Create automated pipelines with agent reasoning\\n- Build custom tools that spawn sub-agents\\n- Test agent behavior programmatically\\n\\nSee [examples/sdk/](../examples/sdk/) for working examples from minimal to full control.\\n\\n## Quick Start\\n\\n```typescript\\nimport { AuthStorage, createAgentSession, ModelRegistry, SessionManager } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\n// Set up credential storage and model registry\\nconst authStorage = AuthStorage.create();\\nconst modelRegistry = ModelRegistry.create(authStorage);\\n\\nconst { session } = await createAgentSession({\\n  sessionManager: SessionManager.inMemory(),\\n  authStorage,\\n  modelRegistry,\\n});\\n\\nsession.subscribe((event) => {\\n  if (event.type === \\\"message_update\\\" && event.assistantMessageEvent.type === \\\"text_delta\\\") {\\n    process.stdout.write(event.assistantMessageEvent.delta);\\n  }\\n});\\n\\nawait session.prompt(\\\"What files are in the current directory?\\\");\\n```\\n\\n## Installation\\n\\n```bash\\nnpm install @mariozechner/pi-coding-agent\\n```\\n\\nThe SDK is included in the main package. No separate installation needed.\\n\\n## Core Concepts\\n\\n### createAgentSession()\\n\\nThe main factory function for a single `AgentSession`.\\n\\n`createAgentSession()` uses a `ResourceLoader` to supply extensions, skills, prompt templates, themes, and context files. If you do not provide one, it uses `DefaultResourceLoader` with standard discovery.\\n\\n```typescript\\nimport { createAgentSession } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\n// Minimal: defaults with DefaultResourceLoader\\nconst { session } = await createAgentSession();\\n\\n// Custom: override specific options\\nconst { session } = await createAgentSession({\\n  model: myModel,\\n  tools: [readTool, bashTool],\\n  sessionManager: SessionManager.inMemory(),\\n});\\n```\\n\\n### AgentSession\\n\\nThe session manages agent lifecycle, message history, model state, compaction, and event streaming.\\n\\n```typescript\\ninterface AgentSession {\\n  // Send a prompt and wait for completion\\n  prompt(text: string, options?: PromptOptions): Promise<void>;\\n\\n  // Queue messages during streaming\\n  steer(text: string): Promise<void>;\\n  followUp(text: string): Promise<void>;\\n\\n  // Subscribe to events (returns unsubscribe function)\\n  subscribe(listener: (event: AgentSessionEvent) => void): () => void;\\n\\n  // Session info\\n  sessionFile: string | undefined;\\n  sessionId: string;\\n\\n  // Model control\\n  setModel(model: Model): Promise<void>;\\n  setThinkingLevel(level: ThinkingLevel): void;\\n  cycleModel(): Promise<ModelCycleResult | undefined>;\\n  cycleThinkingLevel(): ThinkingLevel | undefined;\\n\\n  // State access\\n  agent: Agent;\\n  model: Model | undefined;\\n  thinkingLevel: ThinkingLevel;\\n  messages: AgentMessage[];\\n  isStreaming: boolean;\\n\\n  // In-place tree navigation within the current session file\\n  navigateTree(targetId: string, options?: { summarize?: boolean; customInstructions?: string; replaceInstructions?: boolean; label?: string }): Promise<{ editorText?: string; cancelled: boolean }>;\\n\\n  // Compaction\\n  compact(customInstructions?: string): Promise<CompactionResult>;\\n  abortCompaction(): void;\\n\\n  // Abort current operation\\n  abort(): Promise<void>;\\n\\n  // Cleanup\\n  dispose(): void;\\n}\\n```\\n\\nSession replacement APIs such as new-session, resume, fork, and import live on `AgentSessionRuntime`, not on `AgentSession`.\\n\\n### createAgentSessionRuntime() and AgentSessionRuntime\\n\\nUse the runtime API when you need to replace the active session and rebuild cwd-bound runtime state.\\nThis is the same layer used by the built-in interactive, print, and RPC modes.\\n\\n`createAgentSessionRuntime()` takes a runtime factory plus the initial cwd/session target. The factory closes over process-global fixed inputs, recreates cwd-bound services for the effective cwd, resolves session options against those services, and returns a full runtime result.\\n\\n```typescript\\nimport {\\n  type CreateAgentSessionRuntimeFactory,\\n  createAgentSessionFromServices,\\n  createAgentSessionRuntime,\\n  createAgentSessionServices,\\n  getAgentDir,\\n  SessionManager,\\n} from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst createRuntime: CreateAgentSessionRuntimeFactory = async ({ cwd, sessionManager, sessionStartEvent }) => {\\n  const services = await createAgentSessionServices({ cwd });\\n  return {\\n    ...(await createAgentSessionFromServices({\\n      services,\\n      sessionManager,\\n      sessionStartEvent,\\n    })),\\n    services,\\n    diagnostics: services.diagnostics,\\n  };\\n};\\n\\nconst runtime = await createAgentSessionRuntime(createRuntime, {\\n  cwd: process.cwd(),\\n  agentDir: getAgentDir(),\\n  sessionManager: SessionManager.create(process.cwd()),\\n});\\n```\\n\\n`AgentSessionRuntime` owns replacement of the active runtime across:\\n\\n- `newSession()`\\n- `switchSession()`\\n- `fork()`\\n- `importFromJsonl()`\\n\\nImportant behavior:\\n\\n- `runtime.session` changes after those operations\\n- event subscriptions are attached to a specific `AgentSession`, so re-subscribe after replacement\\n- if you use extensions, call `runtime.session.bindExtensions(...)` again for the new session\\n- creation returns diagnostics on `runtime.diagnostics`\\n- if runtime creation or replacement fails, the method throws and the caller decides how to handle it\\n\\n```typescript\\nlet session = runtime.session;\\nlet unsubscribe = session.subscribe(() => {});\\n\\nawait runtime.newSession();\\n\\nunsubscribe();\\nsession = runtime.session;\\nunsubscribe = session.subscribe(() => {});\\n```\\n\\n### Prompting and Message Queueing\\n\\n`PromptOptions` controls prompt expansion, queueing behavior while streaming, and prompt preflight notifications:\\n\\n```typescript\\ninterface PromptOptions {\\n  expandPromptTemplates?: boolean;\\n  images?: ImageContent[];\\n  streamingBehavior?: \\\"steer\\\" | \\\"followUp\\\";\\n  source?: InputSource;\\n  preflightResult?: (success: boolean) => void;\\n}\\n```\\n\\n`preflightResult` is called once per `prompt()` invocation:\\n\\n- `true` when the prompt was accepted, queued, or handled immediately\\n- `false` when prompt preflight rejected before acceptance\\n\\nIt fires before `prompt()` resolves. `prompt()` still resolves only after the full accepted run finishes, including retries. Failures after acceptance are reported through the normal event and message stream, not through `preflightResult(false)`.\\n\\nThe `prompt()` method handles prompt templates, extension commands, and message sending:\\n\\n```typescript\\n// Basic prompt (when not streaming)\\nawait session.prompt(\\\"What files are here?\\\");\\n\\n// With images\\nawait session.prompt(\\\"What's in this image?\\\", {\\n  images: [{ type: \\\"image\\\", source: { type: \\\"base64\\\", mediaType: \\\"image/png\\\", data: \\\"...\\\" } }]\\n});\\n\\n// During streaming: must specify how to queue the message\\nawait session.prompt(\\\"Stop and do this instead\\\", { streamingBehavior: \\\"steer\\\" });\\nawait session.prompt(\\\"After you're done, also check X\\\", { streamingBehavior: \\\"followUp\\\" });\\n```\\n\\n**Behavior:**\\n- **Extension commands** (e.g., `/mycommand`): Execute immediately, even during streaming. They manage their own LLM interaction via `pi.sendMessage()`.\\n- **File-based prompt templates** (from `.md` files): Expanded to their content before sending or queueing.\\n- **During streaming without `streamingBehavior`**: Throws an error. Use `steer()` or `followUp()` directly, or specify the option.\\n- **`preflightResult(true)`**: Means the prompt was accepted, queued, or handled immediately.\\n- **`preflightResult(false)`**: Means preflight rejected before acceptance.\\n\\nFor explicit queueing during streaming:\\n\\n```typescript\\n// Queue a steering message for delivery after the current assistant turn finishes its tool calls\\nawait session.steer(\\\"New instruction\\\");\\n\\n// Wait for agent to finish (delivered only when agent stops)\\nawait session.followUp(\\\"After you're done, also do this\\\");\\n```\\n\\nBoth `steer()` and `followUp()` expand file-based prompt templates but error on extension commands (extension commands cannot be queued).\\n\\n### Agent and AgentState\\n\\nThe `Agent` class (from `@mariozechner/pi-agent-core`) handles the core LLM interaction. Access it via `session.agent`.\\n\\n```typescript\\n// Access current state\\nconst state = session.agent.state;\\n\\n// state.messages: AgentMessage[] - conversation history\\n// state.model: Model - current model\\n// state.thinkingLevel: ThinkingLevel - current thinking level\\n// state.systemPrompt: string - system prompt\\n// state.tools: AgentTool[] - available tools\\n// state.streamingMessage?: AgentMessage - current partial assistant message\\n// state.errorMessage?: string - latest assistant error\\n\\n// Replace messages (useful for branching or restoration)\\nsession.agent.state.messages = messages; // copies the top-level array\\n\\n// Replace tools\\nsession.agent.state.tools = tools; // copies the top-level array\\n\\n// Wait for agent to finish processing\\nawait session.agent.waitForIdle();\\n```\\n\\n### Events\\n\\nSubscribe to events to receive streaming output and lifecycle notifications.\\n\\n```typescript\\nsession.subscribe((event) => {\\n  switch (event.type) {\\n    // Streaming text from assistant\\n    case \\\"message_update\\\":\\n      if (event.assistantMessageEvent.type === \\\"text_delta\\\") {\\n        process.stdout.write(event.assistantMessageEvent.delta);\\n      }\\n      if (event.assistantMessageEvent.type === \\\"thinking_delta\\\") {\\n        // Thinking output (if thinking enabled)\\n      }\\n      break;\\n    \\n    // Tool execution\\n    case \\\"tool_execution_start\\\":\\n      console.log(`Tool: ${event.toolName}`);\\n      break;\\n    case \\\"tool_execution_update\\\":\\n      // Streaming tool output\\n      break;\\n    case \\\"tool_execution_end\\\":\\n      console.log(`Result: ${event.isError ? \\\"error\\\" : \\\"success\\\"}`);\\n      break;\\n    \\n    // Message lifecycle\\n    case \\\"message_start\\\":\\n      // New message starting\\n      break;\\n    case \\\"message_end\\\":\\n      // Message complete\\n      break;\\n    \\n    // Agent lifecycle\\n    case \\\"agent_start\\\":\\n      // Agent started processing prompt\\n      break;\\n    case \\\"agent_end\\\":\\n      // Agent finished (event.messages contains new messages)\\n      break;\\n    \\n    // Turn lifecycle (one LLM response + tool calls)\\n    case \\\"turn_start\\\":\\n      break;\\n    case \\\"turn_end\\\":\\n      // event.message: assistant response\\n      // event.toolResults: tool results from this turn\\n      break;\\n    \\n    // Session events (queue, compaction, retry)\\n    case \\\"queue_update\\\":\\n      console.log(event.steering, event.followUp);\\n      break;\\n    case \\\"compaction_start\\\":\\n    case \\\"compaction_end\\\":\\n    case \\\"auto_retry_start\\\":\\n    case \\\"auto_retry_end\\\":\\n      break;\\n  }\\n});\\n```\\n\\n## Options Reference\\n\\n### Directories\\n\\n```typescript\\nconst { session } = await createAgentSession({\\n  // Working directory for DefaultResourceLoader discovery\\n  cwd: process.cwd(), // default\\n  \\n  // Global config directory\\n  agentDir: \\\"~/.pi/agent\\\", // default (expands ~)\\n});\\n```\\n\\n`cwd` is used by `DefaultResourceLoader` for:\\n- Project extensions (`.pi/extensions/`)\\n- Project skills:\\n  - `.pi/skills/`\\n  - `.agents/skills/` in `cwd` and ancestor directories (up to git repo root, or filesystem root when not in a repo)\\n- Project prompts (`.pi/prompts/`)\\n- Context files (`AGENTS.md` walking up from cwd)\\n- Session directory naming\\n\\n`agentDir` is used by `DefaultResourceLoader` for:\\n- Global extensions (`extensions/`)\\n- Global skills:\\n  - `skills/` under `agentDir` (for example `~/.pi/agent/skills/`)\\n  - `~/.agents/skills/`\\n- Global prompts (`prompts/`)\\n- Global context file (`AGENTS.md`)\\n- Settings (`settings.json`)\\n- Custom models (`models.json`)\\n- Credentials (`auth.json`)\\n- Sessions (`sessions/`)\\n\\nWhen you pass a custom `ResourceLoader`, `cwd` and `agentDir` no longer control resource discovery. They still influence session naming and tool path resolution.\\n\\n### Model\\n\\n```typescript\\nimport { getModel } from \\\"@mariozechner/pi-ai\\\";\\nimport { AuthStorage, ModelRegistry } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst authStorage = AuthStorage.create();\\nconst modelRegistry = ModelRegistry.create(authStorage);\\n\\n// Find specific built-in model (doesn't check if API key exists)\\nconst opus = getModel(\\\"anthropic\\\", \\\"claude-opus-4-5\\\");\\nif (!opus) throw new Error(\\\"Model not found\\\");\\n\\n// Find any model by provider/id, including custom models from models.json\\n// (doesn't check if API key exists)\\nconst customModel = modelRegistry.find(\\\"my-provider\\\", \\\"my-model\\\");\\n\\n// Get only models that have valid API keys configured\\nconst available = await modelRegistry.getAvailable();\\n\\nconst { session } = await createAgentSession({\\n  model: opus,\\n  thinkingLevel: \\\"medium\\\", // off, minimal, low, medium, high, xhigh\\n  \\n  // Models for cycling (Ctrl+P in interactive mode)\\n  scopedModels: [\\n    { model: opus, thinkingLevel: \\\"high\\\" },\\n    { model: haiku, thinkingLevel: \\\"off\\\" },\\n  ],\\n  \\n  authStorage,\\n  modelRegistry,\\n});\\n```\\n\\nIf no model is provided:\\n1. Tries to restore from session (if continuing)\\n2. Uses default from settings\\n3. Falls back to first available model\\n\\n> See [examples/sdk/02-custom-model.ts](../examples/sdk/02-custom-model.ts)\\n\\n### API Keys and OAuth\\n\\nAPI key resolution priority (handled by AuthStorage):\\n1. Runtime overrides (via `setRuntimeApiKey`, not persisted)\\n2. Stored credentials in `auth.json` (API keys or OAuth tokens)\\n3. Environment variables (`ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, etc.)\\n4. Fallback resolver (for custom provider keys from `models.json`)\\n\\n```typescript\\nimport { AuthStorage, ModelRegistry } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\n// Default: uses ~/.pi/agent/auth.json and ~/.pi/agent/models.json\\nconst authStorage = AuthStorage.create();\\nconst modelRegistry = ModelRegistry.create(authStorage);\\n\\nconst { session } = await createAgentSession({\\n  sessionManager: SessionManager.inMemory(),\\n  authStorage,\\n  modelRegistry,\\n});\\n\\n// Runtime API key override (not persisted to disk)\\nauthStorage.setRuntimeApiKey(\\\"anthropic\\\", \\\"sk-my-temp-key\\\");\\n\\n// Custom auth storage location\\nconst customAuth = AuthStorage.create(\\\"/my/app/auth.json\\\");\\nconst customRegistry = ModelRegistry.create(customAuth, \\\"/my/app/models.json\\\");\\n\\nconst { session } = await createAgentSession({\\n  sessionManager: SessionManager.inMemory(),\\n  authStorage: customAuth,\\n  modelRegistry: customRegistry,\\n});\\n\\n// No custom models.json (built-in models only)\\nconst simpleRegistry = ModelRegistry.inMemory(authStorage);\\n```\\n\\n> See [examples/sdk/09-api-keys-and-oauth.ts](../examples/sdk/09-api-keys-and-oauth.ts)\\n\\n### System Prompt\\n\\nUse a `ResourceLoader` to override the system prompt:\\n\\n```typescript\\nimport { createAgentSession, DefaultResourceLoader } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst loader = new DefaultResourceLoader({\\n  systemPromptOverride: () => \\\"You are a helpful assistant.\\\",\\n});\\nawait loader.reload();\\n\\nconst { session } = await createAgentSession({ resourceLoader: loader });\\n```\\n\\n> See [examples/sdk/03-custom-prompt.ts](../examples/sdk/03-custom-prompt.ts)\\n\\n### Tools\\n\\n```typescript\\nimport {\\n  codingTools,   // read, bash, edit, write (default)\\n  readOnlyTools, // read, grep, find, ls\\n  readTool, bashTool, editTool, writeTool,\\n  grepTool, findTool, lsTool,\\n} from \\\"@mariozechner/pi-coding-agent\\\";\\n\\n// Use built-in tool set\\nconst { session } = await createAgentSession({\\n  tools: readOnlyTools,\\n});\\n\\n// Pick specific tools\\nconst { session } = await createAgentSession({\\n  tools: [readTool, bashTool, grepTool],\\n});\\n```\\n\\n#### Tools with Custom cwd\\n\\n**Important:** The pre-built tool instances (`readTool`, `bashTool`, etc.) use `process.cwd()` for path resolution. When you specify a custom `cwd` AND provide explicit `tools`, you must use the tool factory functions to ensure paths resolve correctly:\\n\\n```typescript\\nimport {\\n  createCodingTools,    // Creates [read, bash, edit, write] for specific cwd\\n  createReadOnlyTools,  // Creates [read, grep, find, ls] for specific cwd\\n  createReadTool,\\n  createBashTool,\\n  createEditTool,\\n  createWriteTool,\\n  createGrepTool,\\n  createFindTool,\\n  createLsTool,\\n} from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst cwd = \\\"/path/to/project\\\";\\n\\n// Use factory for tool sets\\nconst { session } = await createAgentSession({\\n  cwd,\\n  tools: createCodingTools(cwd),  // Tools resolve paths relative to cwd\\n});\\n\\n// Or pick specific tools\\nconst { session } = await createAgentSession({\\n  cwd,\\n  tools: [createReadTool(cwd), createBashTool(cwd), createGrepTool(cwd)],\\n});\\n```\\n\\n**When you don't need factories:**\\n- If you omit `tools`, pi automatically creates them with the correct `cwd`\\n- If you use `process.cwd()` as your `cwd`, the pre-built instances work fine\\n\\n**When you must use factories:**\\n- When you specify both `cwd` (different from `process.cwd()`) AND `tools`\\n\\n> See [examples/sdk/05-tools.ts](../examples/sdk/05-tools.ts)\\n\\n### Custom Tools\\n\\n```typescript\\nimport { Type } from \\\"@sinclair/typebox\\\";\\nimport { createAgentSession, defineTool } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\n// Inline custom tool\\nconst myTool = defineTool({\\n  name: \\\"my_tool\\\",\\n  label: \\\"My Tool\\\",\\n  description: \\\"Does something useful\\\",\\n  parameters: Type.Object({\\n    input: Type.String({ description: \\\"Input value\\\" }),\\n  }),\\n  execute: async (_toolCallId, params) => ({\\n    content: [{ type: \\\"text\\\", text: `Result: ${params.input}` }],\\n    details: {},\\n  }),\\n});\\n\\n// Pass custom tools directly\\nconst { session } = await createAgentSession({\\n  customTools: [myTool],\\n});\\n```\\n\\nUse `defineTool()` for standalone definitions and arrays like `customTools: [myTool]`. Inline `pi.registerTool({ ... })` already infers parameter types correctly.\\n\\nCustom tools passed via `customTools` are combined with extension-registered tools. Extensions loaded by the ResourceLoader can also register tools via `pi.registerTool()`.\\n\\n> See [examples/sdk/05-tools.ts](../examples/sdk/05-tools.ts)\\n\\n### Extensions\\n\\nExtensions are loaded by the `ResourceLoader`. `DefaultResourceLoader` discovers extensions from `~/.pi/agent/extensions/`, `.pi/extensions/`, and settings.json extension sources.\\n\\n```typescript\\nimport { createAgentSession, DefaultResourceLoader } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst loader = new DefaultResourceLoader({\\n  additionalExtensionPaths: [\\\"/path/to/my-extension.ts\\\"],\\n  extensionFactories: [\\n    (pi) => {\\n      pi.on(\\\"agent_start\\\", () => {\\n        console.log(\\\"[Inline Extension] Agent starting\\\");\\n      });\\n    },\\n  ],\\n});\\nawait loader.reload();\\n\\nconst { session } = await createAgentSession({ resourceLoader: loader });\\n```\\n\\nExtensions can register tools, subscribe to events, add commands, and more. See [extensions.md](extensions.md) for the full API.\\n\\n**Event Bus:** Extensions can communicate via `pi.events`. Pass a shared `eventBus` to `DefaultResourceLoader` if you need to emit or listen from outside:\\n\\n```typescript\\nimport { createEventBus, DefaultResourceLoader } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst eventBus = createEventBus();\\nconst loader = new DefaultResourceLoader({\\n  eventBus,\\n});\\nawait loader.reload();\\n\\neventBus.on(\\\"my-extension:status\\\", (data) => console.log(data));\\n```\\n\\n> See [examples/sdk/06-extensions.ts](../examples/sdk/06-extensions.ts) and [docs/extensions.md](extensions.md)\\n\\n### Skills\\n\\n```typescript\\nimport {\\n  createAgentSession,\\n  DefaultResourceLoader,\\n  type Skill,\\n} from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst customSkill: Skill = {\\n  name: \\\"my-skill\\\",\\n  description: \\\"Custom instructions\\\",\\n  filePath: \\\"/path/to/SKILL.md\\\",\\n  baseDir: \\\"/path/to\\\",\\n  source: \\\"custom\\\",\\n};\\n\\nconst loader = new DefaultResourceLoader({\\n  skillsOverride: (current) => ({\\n    skills: [...current.skills, customSkill],\\n    diagnostics: current.diagnostics,\\n  }),\\n});\\nawait loader.reload();\\n\\nconst { session } = await createAgentSession({ resourceLoader: loader });\\n```\\n\\n> See [examples/sdk/04-skills.ts](../examples/sdk/04-skills.ts)\\n\\n### Context Files\\n\\n```typescript\\nimport { createAgentSession, DefaultResourceLoader } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst loader = new DefaultResourceLoader({\\n  agentsFilesOverride: (current) => ({\\n    agentsFiles: [\\n      ...current.agentsFiles,\\n      { path: \\\"/virtual/AGENTS.md\\\", content: \\\"# Guidelines\\\\n\\\\n- Be concise\\\" },\\n    ],\\n  }),\\n});\\nawait loader.reload();\\n\\nconst { session } = await createAgentSession({ resourceLoader: loader });\\n```\\n\\n> See [examples/sdk/07-context-files.ts](../examples/sdk/07-context-files.ts)\\n\\n### Slash Commands\\n\\n```typescript\\nimport {\\n  createAgentSession,\\n  DefaultResourceLoader,\\n  type PromptTemplate,\\n} from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst customCommand: PromptTemplate = {\\n  name: \\\"deploy\\\",\\n  description: \\\"Deploy the application\\\",\\n  source: \\\"(custom)\\\",\\n  content: \\\"# Deploy\\\\n\\\\n1. Build\\\\n2. Test\\\\n3. Deploy\\\",\\n};\\n\\nconst loader = new DefaultResourceLoader({\\n  promptsOverride: (current) => ({\\n    prompts: [...current.prompts, customCommand],\\n    diagnostics: current.diagnostics,\\n  }),\\n});\\nawait loader.reload();\\n\\nconst { session } = await createAgentSession({ resourceLoader: loader });\\n```\\n\\n> See [examples/sdk/08-prompt-templates.ts](../examples/sdk/08-prompt-templates.ts)\\n\\n### Session Management\\n\\nSessions use a tree structure with `id`/`parentId` linking, enabling in-place branching.\\n\\n```typescript\\nimport {\\n  type CreateAgentSessionRuntimeFactory,\\n  createAgentSession,\\n  createAgentSessionFromServices,\\n  createAgentSessionRuntime,\\n  createAgentSessionServices,\\n  getAgentDir,\\n  SessionManager,\\n} from \\\"@mariozechner/pi-coding-agent\\\";\\n\\n// In-memory (no persistence)\\nconst { session } = await createAgentSession({\\n  sessionManager: SessionManager.inMemory(),\\n});\\n\\n// New persistent session\\nconst { session: persisted } = await createAgentSession({\\n  sessionManager: SessionManager.create(process.cwd()),\\n});\\n\\n// Continue most recent\\nconst { session: continued, modelFallbackMessage } = await createAgentSession({\\n  sessionManager: SessionManager.continueRecent(process.cwd()),\\n});\\nif (modelFallbackMessage) {\\n  console.log(\\\"Note:\\\", modelFallbackMessage);\\n}\\n\\n// Open specific file\\nconst { session: opened } = await createAgentSession({\\n  sessionManager: SessionManager.open(\\\"/path/to/session.jsonl\\\"),\\n});\\n\\n// List sessions\\nconst currentProjectSessions = await SessionManager.list(process.cwd());\\nconst allSessions = await SessionManager.listAll(process.cwd());\\n\\n// Session replacement API for /new, /resume, /fork, and import flows.\\nconst createRuntime: CreateAgentSessionRuntimeFactory = async ({ cwd, sessionManager, sessionStartEvent }) => {\\n  const services = await createAgentSessionServices({ cwd });\\n  return {\\n    ...(await createAgentSessionFromServices({\\n      services,\\n      sessionManager,\\n      sessionStartEvent,\\n    })),\\n    services,\\n    diagnostics: services.diagnostics,\\n  };\\n};\\n\\nconst runtime = await createAgentSessionRuntime(createRuntime, {\\n  cwd: process.cwd(),\\n  agentDir: getAgentDir(),\\n  sessionManager: SessionManager.create(process.cwd()),\\n});\\n\\n// Replace the active session with a fresh one\\nawait runtime.newSession();\\n\\n// Replace the active session with another saved session\\nawait runtime.switchSession(\\\"/path/to/session.jsonl\\\");\\n\\n// Replace the active session with a fork from a specific entry\\nawait runtime.fork(\\\"entry-id\\\");\\n```\\n\\n**SessionManager tree API:**\\n\\n```typescript\\nconst sm = SessionManager.open(\\\"/path/to/session.jsonl\\\");\\n\\n// Session listing\\nconst currentProjectSessions = await SessionManager.list(process.cwd());\\nconst allSessions = await SessionManager.listAll(process.cwd());\\n\\n// Tree traversal\\nconst entries = sm.getEntries();        // All entries (excludes header)\\nconst tree = sm.getTree();              // Full tree structure\\nconst path = sm.getPath();              // Path from root to current leaf\\nconst leaf = sm.getLeafEntry();         // Current leaf entry\\nconst entry = sm.getEntry(id);          // Get entry by ID\\nconst children = sm.getChildren(id);    // Direct children of entry\\n\\n// Labels\\nconst label = sm.getLabel(id);          // Get label for entry\\nsm.appendLabelChange(id, \\\"checkpoint\\\"); // Set label\\n\\n// Branching\\nsm.branch(entryId);                     // Move leaf to earlier entry\\nsm.branchWithSummary(id, \\\"Summary...\\\");  // Branch with context summary\\nsm.createBranchedSession(leafId);       // Extract path to new file\\n```\\n\\n> See [examples/sdk/11-sessions.ts](../examples/sdk/11-sessions.ts) and [docs/session.md](session.md)\\n\\n### Settings Management\\n\\n```typescript\\nimport { createAgentSession, SettingsManager, SessionManager } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\n// Default: loads from files (global + project merged)\\nconst { session } = await createAgentSession({\\n  settingsManager: SettingsManager.create(),\\n});\\n\\n// With overrides\\nconst settingsManager = SettingsManager.create();\\nsettingsManager.applyOverrides({\\n  compaction: { enabled: false },\\n  retry: { enabled: true, maxRetries: 5 },\\n});\\nconst { session } = await createAgentSession({ settingsManager });\\n\\n// In-memory (no file I/O, for testing)\\nconst { session } = await createAgentSession({\\n  settingsManager: SettingsManager.inMemory({ compaction: { enabled: false } }),\\n  sessionManager: SessionManager.inMemory(),\\n});\\n\\n// Custom directories\\nconst { session } = await createAgentSession({\\n  settingsManager: SettingsManager.create(\\\"/custom/cwd\\\", \\\"/custom/agent\\\"),\\n});\\n```\\n\\n**Static factories:**\\n- `SettingsManager.create(cwd?, agentDir?)` - Load from files\\n- `SettingsManager.inMemory(settings?)` - No file I/O\\n\\n**Project-specific settings:**\\n\\nSettings load from two locations and merge:\\n1. Global: `~/.pi/agent/settings.json`\\n2. Project: `<cwd>/.pi/settings.json`\\n\\nProject overrides global. Nested objects merge keys. Setters modify global settings by default.\\n\\n**Persistence and error handling semantics:**\\n\\n- Settings getters/setters are synchronous for in-memory state.\\n- Setters enqueue persistence writes asynchronously.\\n- Call `await settingsManager.flush()` when you need a durability boundary (for example, before process exit or before asserting file contents in tests).\\n- `SettingsManager` does not print settings I/O errors. Use `settingsManager.drainErrors()` and report them in your app layer.\\n\\n> See [examples/sdk/10-settings.ts](../examples/sdk/10-settings.ts)\\n\\n## ResourceLoader\\n\\nUse `DefaultResourceLoader` to discover extensions, skills, prompts, themes, and context files.\\n\\n```typescript\\nimport {\\n  DefaultResourceLoader,\\n  getAgentDir,\\n} from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst loader = new DefaultResourceLoader({\\n  cwd,\\n  agentDir: getAgentDir(),\\n});\\nawait loader.reload();\\n\\nconst extensions = loader.getExtensions();\\nconst skills = loader.getSkills();\\nconst prompts = loader.getPrompts();\\nconst themes = loader.getThemes();\\nconst contextFiles = loader.getAgentsFiles().agentsFiles;\\n```\\n\\n## Return Value\\n\\n`createAgentSession()` returns:\\n\\n```typescript\\ninterface CreateAgentSessionResult {\\n  // The session\\n  session: AgentSession;\\n  \\n  // Extensions result (for runner setup)\\n  extensionsResult: LoadExtensionsResult;\\n  \\n  // Warning if session model couldn't be restored\\n  modelFallbackMessage?: string;\\n}\\n\\ninterface LoadExtensionsResult {\\n  extensions: Extension[];\\n  errors: Array<{ path: string; error: string }>;\\n  runtime: ExtensionRuntime;\\n}\\n```\\n\\n## Complete Example\\n\\n```typescript\\nimport { getModel } from \\\"@mariozechner/pi-ai\\\";\\nimport { Type } from \\\"@sinclair/typebox\\\";\\nimport {\\n  AuthStorage,\\n  bashTool,\\n  createAgentSession,\\n  DefaultResourceLoader,\\n  defineTool,\\n  ModelRegistry,\\n  readTool,\\n  SessionManager,\\n  SettingsManager,\\n} from \\\"@mariozechner/pi-coding-agent\\\";\\n\\n// Set up auth storage (custom location)\\nconst authStorage = AuthStorage.create(\\\"/custom/agent/auth.json\\\");\\n\\n// Runtime API key override (not persisted)\\nif (process.env.MY_KEY) {\\n  authStorage.setRuntimeApiKey(\\\"anthropic\\\", process.env.MY_KEY);\\n}\\n\\n// Model registry (no custom models.json)\\nconst modelRegistry = ModelRegistry.create(authStorage);\\n\\n// Inline tool\\nconst statusTool = defineTool({\\n  name: \\\"status\\\",\\n  label: \\\"Status\\\",\\n  description: \\\"Get system status\\\",\\n  parameters: Type.Object({}),\\n  execute: async () => ({\\n    content: [{ type: \\\"text\\\", text: `Uptime: ${process.uptime()}s` }],\\n    details: {},\\n  }),\\n});\\n\\nconst model = getModel(\\\"anthropic\\\", \\\"claude-opus-4-5\\\");\\nif (!model) throw new Error(\\\"Model not found\\\");\\n\\n// In-memory settings with overrides\\nconst settingsManager = SettingsManager.inMemory({\\n  compaction: { enabled: false },\\n  retry: { enabled: true, maxRetries: 2 },\\n});\\n\\nconst loader = new DefaultResourceLoader({\\n  cwd: process.cwd(),\\n  agentDir: \\\"/custom/agent\\\",\\n  settingsManager,\\n  systemPromptOverride: () => \\\"You are a minimal assistant. Be concise.\\\",\\n});\\nawait loader.reload();\\n\\nconst { session } = await createAgentSession({\\n  cwd: process.cwd(),\\n  agentDir: \\\"/custom/agent\\\",\\n\\n  model,\\n  thinkingLevel: \\\"off\\\",\\n  authStorage,\\n  modelRegistry,\\n\\n  tools: [readTool, bashTool],\\n  customTools: [statusTool],\\n  resourceLoader: loader,\\n\\n  sessionManager: SessionManager.inMemory(),\\n  settingsManager,\\n});\\n\\nsession.subscribe((event) => {\\n  if (event.type === \\\"message_update\\\" && event.assistantMessageEvent.type === \\\"text_delta\\\") {\\n    process.stdout.write(event.assistantMessageEvent.delta);\\n  }\\n});\\n\\nawait session.prompt(\\\"Get status and list files.\\\");\\n```\\n\\n## Run Modes\\n\\nThe SDK exports run mode utilities for building custom interfaces on top of `createAgentSession()`:\\n\\n### InteractiveMode\\n\\nFull TUI interactive mode with editor, chat history, and all built-in commands:\\n\\n```typescript\\nimport {\\n  type CreateAgentSessionRuntimeFactory,\\n  createAgentSessionFromServices,\\n  createAgentSessionRuntime,\\n  createAgentSessionServices,\\n  getAgentDir,\\n  InteractiveMode,\\n  SessionManager,\\n} from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst createRuntime: CreateAgentSessionRuntimeFactory = async ({ cwd, sessionManager, sessionStartEvent }) => {\\n  const services = await createAgentSessionServices({ cwd });\\n  return {\\n    ...(await createAgentSessionFromServices({ services, sessionManager, sessionStartEvent })),\\n    services,\\n    diagnostics: services.diagnostics,\\n  };\\n};\\nconst runtime = await createAgentSessionRuntime(createRuntime, {\\n  cwd: process.cwd(),\\n  agentDir: getAgentDir(),\\n  sessionManager: SessionManager.create(process.cwd()),\\n});\\n\\nconst mode = new InteractiveMode(runtime, {\\n  migratedProviders: [],\\n  modelFallbackMessage: undefined,\\n  initialMessage: \\\"Hello\\\",\\n  initialImages: [],\\n  initialMessages: [],\\n});\\n\\nawait mode.run();\\n```\\n\\n### runPrintMode\\n\\nSingle-shot mode: send prompts, output result, exit:\\n\\n```typescript\\nimport {\\n  type CreateAgentSessionRuntimeFactory,\\n  createAgentSessionFromServices,\\n  createAgentSessionRuntime,\\n  createAgentSessionServices,\\n  getAgentDir,\\n  runPrintMode,\\n  SessionManager,\\n} from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst createRuntime: CreateAgentSessionRuntimeFactory = async ({ cwd, sessionManager, sessionStartEvent }) => {\\n  const services = await createAgentSessionServices({ cwd });\\n  return {\\n    ...(await createAgentSessionFromServices({ services, sessionManager, sessionStartEvent })),\\n    services,\\n    diagnostics: services.diagnostics,\\n  };\\n};\\nconst runtime = await createAgentSessionRuntime(createRuntime, {\\n  cwd: process.cwd(),\\n  agentDir: getAgentDir(),\\n  sessionManager: SessionManager.create(process.cwd()),\\n});\\n\\nawait runPrintMode(runtime, {\\n  mode: \\\"text\\\",\\n  initialMessage: \\\"Hello\\\",\\n  initialImages: [],\\n  messages: [\\\"Follow up\\\"],\\n});\\n```\\n\\n### runRpcMode\\n\\nJSON-RPC mode for subprocess integration:\\n\\n```typescript\\nimport {\\n  type CreateAgentSessionRuntimeFactory,\\n  createAgentSessionFromServices,\\n  createAgentSessionRuntime,\\n  createAgentSessionServices,\\n  getAgentDir,\\n  runRpcMode,\\n  SessionManager,\\n} from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst createRuntime: CreateAgentSessionRuntimeFactory = async ({ cwd, sessionManager, sessionStartEvent }) => {\\n  const services = await createAgentSessionServices({ cwd });\\n  return {\\n    ...(await createAgentSessionFromServices({ services, sessionManager, sessionStartEvent })),\\n    services,\\n    diagnostics: services.diagnostics,\\n  };\\n};\\nconst runtime = await createAgentSessionRuntime(createRuntime, {\\n  cwd: process.cwd(),\\n  agentDir: getAgentDir(),\\n  sessionManager: SessionManager.create(process.cwd()),\\n});\\n\\nawait runRpcMode(runtime);\\n```\\n\\nSee [RPC documentation](rpc.md) for the JSON protocol.\\n\\n## RPC Mode Alternative\\n\\nFor subprocess-based integration without building with the SDK, use the CLI directly:\\n\\n```bash\\npi --mode rpc --no-session\\n```\\n\\nSee [RPC documentation](rpc.md) for the JSON protocol.\\n\\nThe SDK is preferred when:\\n- You want type safety\\n- You're in the same Node.js process\\n- You need direct access to agent state\\n- You want to customize tools/extensions programmatically\\n\\nRPC mode is preferred when:\\n- You're integrating from another language\\n- You want process isolation\\n- You're building a language-agnostic client\\n\\n## Exports\\n\\nThe main entry point exports:\\n\\n```typescript\\n// Factory\\ncreateAgentSession\\ncreateAgentSessionRuntime\\nAgentSessionRuntime\\n\\n// Auth and Models\\nAuthStorage\\nModelRegistry\\n\\n// Resource loading\\nDefaultResourceLoader\\ntype ResourceLoader\\ncreateEventBus\\n\\n// Helpers\\ndefineTool\\n\\n// Session management\\nSessionManager\\nSettingsManager\\n\\n// Built-in tools (use process.cwd())\\ncodingTools\\nreadOnlyTools\\nreadTool, bashTool, editTool, writeTool\\ngrepTool, findTool, lsTool\\n\\n// Tool factories (for custom cwd)\\ncreateCodingTools\\ncreateReadOnlyTools\\ncreateReadTool, createBashTool, createEditTool, createWriteTool\\ncreateGrepTool, createFindTool, createLsTool\\n\\n// Types\\ntype CreateAgentSessionOptions\\ntype CreateAgentSessionResult\\ntype ExtensionFactory\\ntype ExtensionAPI\\ntype ToolDefinition\\ntype Skill\\ntype PromptTemplate\\ntype Tool\\n```\\n\\nFor extension types, see [extensions.md](extensions.md) for the full API.\\n\"}],\"isError\":false,\"timestamp\":1776370839163}}\n/home/sebas/archive/backups/telegram-bot-listener-backup-20260118/config.py:20:ANTHROPIC_API_KEY = os.environ.get(\"ANTHROPIC_API_KEY\")\n/home/sebas/archive/backups/telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/anthropic/_client.py:89:        - `api_key` from `ANTHROPIC_API_KEY`\n/home/sebas/archive/backups/telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/anthropic/_client.py:93:            api_key = os.environ.get(\"ANTHROPIC_API_KEY\")\n/home/sebas/archive/backups/telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/anthropic/_client.py:329:        - `api_key` from `ANTHROPIC_API_KEY`\n/home/sebas/archive/backups/telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/anthropic/_client.py:333:            api_key = os.environ.get(\"ANTHROPIC_API_KEY\")\n/home/sebas/runtime/venvs/catt/lib/python3.13/site-packages/yt_dlp/extractor/locipo.py:124:        api_key = traverse_obj(config, ('public', 'streaksVodPlaybackApiKey', {str}, {require('api key')}))\n/home/sebas/runtime/venvs/catt/lib/python3.13/site-packages/yt_dlp/extractor/flickr.py:70:            'Downloading api key')['site_key']\n/home/sebas/archive/backups/telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/anthropic-0.76.0.dist-info/METADATA:72:    api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),  # This is the default and can be omitted\n/home/sebas/archive/backups/telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/anthropic-0.76.0.dist-info/METADATA:90:to add `ANTHROPIC_API_KEY=\"my-anthropic-api-key\"` to your `.env` file\n/home/sebas/archive/backups/telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/anthropic-0.76.0.dist-info/METADATA:103:    api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),  # This is the default and can be omitted\n/home/sebas/archive/backups/telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/anthropic-0.76.0.dist-info/METADATA:148:        api_key=os.environ.get(\"ANTHROPIC_API_KEY\"),  # This is the default and can be omitted\n/home/sebas/runtime/rss-offline-build.log:36:OK rendered https://simonw.substack.com/p/deepseek-v4-and-the-end-of-the-openaimicrosoft\n/home/sebas/runtime/rss-offline-build.log:72:OK simple https://simonw.substack.com/p/deepseek-v4-and-the-end-of-the-openaimicrosoft\n/home/sebas/runtime/venvs/whisper/lib/python3.13/site-packages/torch/include/ATen/cuda/CUDAScaledBlas.h:151:bool check_deepseek_recipe(ScalingType,\n/home/sebas/runtime/venvs/whisper/lib/python3.13/site-packages/torch/distributed/checkpoint/quantized_hf_storage.py:482:                # 2D block-wise quantization, e.g., used in deepseek v3.1\n/home/sebas/runtime/venvs/whisper/lib/python3.13/site-packages/torch/distributed/pipelining/schedules.py:3008:    Based on the open sourced code from https://github.com/deepseek-ai/DualPipe\n/home/sebas/.pnpm-store/v10/files/7b/f87de30e222ec16ffd1224d4941925d7bfec993f77c8d792ce2395e7c4f68e4dcc7d3264880650c071d7a020e5e55ce4bd4f3c38868e46c0888858a413c32a:425:| `apiKey`          | Required | Your api key.                                                                                       |\n\n\n[Showing lines 3909-3927 of 3927 (50.0KB limit). Full output: /tmp/pi-bash-4122af059b88a3b9.log]\n\nCommand timed out after 20 seconds"}],"details":{},"isError":true,"timestamp":1779919249737}}
{"type":"message","id":"b882539a","parentId":"885a84ea","timestamp":"2026-05-27T22:00:53.191Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Searching for SDK information**\n\nI’m looking for information in the SDK documents to provide a generic answer. I think I should include details about the provider and possibly mention custom models. I need to find out if DeepSeek is built-in, so I may need to search through the package for that. I wonder what specific sections in the documentation will help clarify whether DeepSeek is available or not.","thinkingSignature":"{\"id\":\"rs_0f48e77c48749cb1016a1769927c1c819bb4255e3cbb3def95\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqF2mUUoymYDvrwkITAiGNAZsQmtEOp3_IiMBhadRrz7G7IeKs6P9MsC_zdB_jI2DJNs97KN8IbV6BtYyhjS369vSgyoQDlVNc9Gsl5qGy7cceAlP841_4HKNYpAjgWGQddX91oZ63y2evlEDFY0SABPWq9D2ZpiaEBTTuKdjiw5AGHptyVtIx8ZaGP6TXfQAQI3ELrRM4Lz56jcwZO_uD8a98gWe6-akM15N54CQil_wej5QBBduB7M3ZpBQBzEOO8PYt0T5afBevHSI_M-PXZRxD2ZqjmZx04EvxpYhB23StQcFvlvXVYsgNcCpyY6T44WRcvFtEvQjm1H90OYWXAYJxPLydausc5x1mUJpUzSh01J-ZelDMCcoRslOBZn7W8abLniI6zLdwQkrbY51IOB0W1GiPUplcl2eyGwb0wvJ5Win2UHUpTY9SzJA0sMD3j7-8WdJGUlSONZdP2SfTIp0NB3IOcXDc8sBWZ8fK6MIMbZ18Fhz91nzx3cA-wjksVTyoeEOxQKxbGa2VPqp6FR-78yItmJwtMRVW65BgtrRGmgCYF2Lolrg224eP3m-dZ9oahUZlLEFrdY4vIO-_20UhXiyRgh1q1GAG1alPSxjRu3OpYmO9tL7kqZtASNJekkmEZIzIpOXUngtBMJTRhcJmqAUgosH-m61L2RAqD69_3u-FbCdGOPlahXRsQFqIl413FaS7xk6S-IhXipfa3qhYiS3aLyUqMFEA9p-1AqPpWBUjxCp7WeL5N6qS-XCCcFHNR-_CGqi0FNWJ0GKuKqyurvwCbU0T-bp21MKfLhJ_dcxnBxzEwGayimy5FrCVRM3ynYFTwavkK7XRRkU6Da6Esa7kbJpdqhkzAOdOzZwVV4VkS_fQlx_BNm-xSZMJmJCvEwurkNFofTaRVbPbjt55jy0U44ObKBoHNmmFsYIY9EFU6yrvpWl8CLRlJ2e9Ci_im8PGDEz1wD8XHLnttOEjSG2z1lQkrPcHXvoS_U_7-vM58cqH005RdluBxbCjmmSIbuPEJm5kARxm3H4JYyTXvsReQe2RYT8zJqAjUja2LIOi42-IyAC8TdJkaViWy779\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Searching for SDK information**\\n\\nI’m looking for information in the SDK documents to provide a generic answer. I think I should include details about the provider and possibly mention custom models. I need to find out if DeepSeek is built-in, so I may need to search through the package for that. I wonder what specific sections in the documentation will help clarify whether DeepSeek is available or not.\"}]}"},{"type":"toolCall","id":"call_nPQxk1a7aJwdX9g9aMSfIc0a|fc_0f48e77c48749cb1016a176994d8f0819b94e5d52ca747f48d","name":"bash","arguments":{"command":"node -e 'try{const {getModel}=require(\"@mariozechner/pi-ai\"); console.log(!!getModel(\"deepseek\",\"deepseek-chat\"), !!getModel(\"deepseek\",\"deepseek-reasoner\"));}catch(e){console.error(e.message); process.exit(1)}'","timeout":10}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":10737,"output":118,"cacheRead":7168,"cacheWrite":0,"totalTokens":18023,"cost":{"input":0.026842500000000002,"output":0.00177,"cacheRead":0.001792,"cacheWrite":0,"total":0.0304045}},"stopReason":"toolUse","timestamp":1779919249743,"responseId":"resp_0f48e77c48749cb1016a176991f43c819ba30bf215047bb0f4"}}
{"type":"message","id":"519238ae","parentId":"b882539a","timestamp":"2026-05-27T22:00:53.237Z","message":{"role":"toolResult","toolCallId":"call_nPQxk1a7aJwdX9g9aMSfIc0a|fc_0f48e77c48749cb1016a176994d8f0819b94e5d52ca747f48d","toolName":"bash","content":[{"type":"text","text":"Cannot find module '@mariozechner/pi-ai'\nRequire stack:\n- /home/sebas/[eval]\n\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1779919253237}}
{"type":"message","id":"af53cad4","parentId":"519238ae","timestamp":"2026-05-27T22:01:00.371Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0f48e77c48749cb1016a176995e6e8819bb0cc1bffe7cb9b2d\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqF2mYM70Pdey3up4QbOxLtiji7Pf9vJ5hfnJBBUWrsWVkjB2_--phY75xOAbiKB0sU_Bktzh8ZSRtQn6Iy4sHWTAq6-iKZ6Ra5yrqb2VFJZ-5u1ejoAhNuNvTzwDnmYWcrd90vzvogTVHXXmTRkjmG0VI6yLBwiJF1Dt5z1ByN0iAWZPPGLpmE7SOBUEAB6HGjROg-CBRmZklNv95hSG1-ia5Mm9j9sXyXB6t5bUznQ8SSr1FoHfpoKeYJeU60LRU-Gbc4LiW_-lZQgxBerqAC9akG-Idei0FMeSEhzkbDRKJjOGNbTGC7lOtQd6JDx6cM6JPF81MtkF8s8nYW2--T70Du4BsTmX0JjssTnf0FBeROAZeo0CsmpX-yRgnlsVsPT1QFDOdiFEluQhQ1UYahM-tR3ng9ljPPHZT3oB21ffMHulPgaGgMIwogj_pCQ4MrksOoTYUuthOBARXViGWHQbWH8NEuHgf4svZNdIbcPXgbBci5hpOLs8cGHqI9-6kjxaSAeJZHns6FsKH0_URRQUtZKbXRFBDYM_yN7jb0tE-dYsp1mIiLjqhhXNaxLIzmqlUUUgOb-rnc4UkL3N5-K0iv2U-QAmmfaTrsYMaAMiIxlBAkQ9oQ-as55Zx7yuiDansQwLtvGgvJL0TkvNbeKomB-kTUQlPG8n5s3amDMSPxEbFT5EaazYZaAE_4mHUn80UAqnhiuypsjtESE8W30grNjAHy_y759BhF2A5vp4UeZSqNuSGIG3yLyJXHnZzvk62fepLDA6hm53nx3kJaNX4Rgi_AqZOrASKrIjDHKwOIpr0TlFsJ_FCiGHu-PakEzc34yxEWlEf5NC5c-sAvPq9ZIE9flGMTthVHXHtSaKauR9DElF3_sNGVsxLksqCcl1gF7C1jD6FH0PAt_kU7PryIebVIwAP5wkl_9zr8AtIks9MvLQKHBJGshuKUptbndn1WphjeEr-Z10y0T4rYvO2diwyQemxrtAStb4iWgc_-_hFYk5xqHUnspgC2Vu1UEP-LY19l04jhUZRCfOfBtlULmo4U9JyTq63t1bJhG4IvC8EXuNzn9mkTfc5ceP8SoxPOFEHNc6GucP4_yma7lTtd20FJAhJ5JkCGtbjT-2y5aw7UonDLK8KfHpevaae1eXOLV9wUc7-qFO5cEFnk7mW_W-Mzxouc9gH_IrFTumTguLRKghC0bY5GJSeaQ2nFAqyeqnw_WjP2BAXXvezqSpet-FNxDNdkSXmKkgAbaA_8usb_IGDalHC0vqKyT2B8xILrAseJ7EWSruQU9HXhmPJEagdwRoglnS4pEFv7sHQgWKxjJevbD5HvP0WkMynZPYjfbgFIkcsIumbsf2qPf2QS31pNnJI1G16WzKdFRd7locNNzRI5702fp3Jard-I0s3ggfQCfJEfSIGl3AbFeXwrw6JRxOVPPLa2dNHJxC5t6L9NwZLmR_D1xAhWlQCWTEbtfjDYYOWIMy-4OW9b32jwLK6A0mK5myhKQTikVuXU48LReia1Ksdpi60dVyxxguG2a1G1NSCFnzLza76zxLZaZBhFYTPMBjdR3WRouN5wJKno-4CO2pu_GATK0nB3tBq\",\"summary\":[]}"},{"type":"text","text":"Two paths.\n\n### Fast\nPut key in shell env used to start `pi`:\n\n```bash\nexport DEEPSEEK_API_KEY='your-key-here'\npi\n```\n\nMake it persistent:\n\n```bash\necho \"export DEEPSEEK_API_KEY='your-key-here'\" >> ~/.bashrc\nsource ~/.bashrc\n```\n\n### Pi-native\nPi checks creds in this order:\n1. runtime override\n2. `~/.pi/agent/auth.json`\n3. env vars\n\nSo you can also store it in:\n\n`~/.pi/agent/auth.json`\n\nExample shape:\n\n```json\n{\n  \"apiKeys\": {\n    \"deepseek\": \"your-key-here\"\n  }\n}\n```\n\n### If DeepSeek model is not already registered\nThen also add provider/model entries in:\n\n`~/.pi/agent/models.json`\n\nIf you want, I can set this up on `ballbox-first` now.\nSend:\n- the key\n- which model(s): `deepseek-chat`, `deepseek-reasoner`, or other\n\nDo not paste the key here unless you want me to install it.","textSignature":"{\"v\":1,\"id\":\"msg_0f48e77c48749cb1016a176998d258819b94390ca3d84ef4b4\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":654,"output":353,"cacheRead":17408,"cacheWrite":0,"totalTokens":18415,"cost":{"input":0.0016350000000000002,"output":0.005295,"cacheRead":0.004352,"cacheWrite":0,"total":0.011282}},"stopReason":"stop","timestamp":1779919253237,"responseId":"resp_0f48e77c48749cb1016a17699569f8819bb16542d9e0bafcb6"}}
{"type":"message","id":"7e97b292","parentId":"af53cad4","timestamp":"2026-05-27T22:02:08.726Z","message":{"role":"user","content":[{"type":"text","text":"[telegram] is it officially supported?"}],"timestamp":1779919328718}}
{"type":"message","id":"c9957b85","parentId":"7e97b292","timestamp":"2026-05-27T22:02:20.561Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0f48e77c48749cb1016a1769e951a8819b9087890a999af05c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqF2nqRAoEn9wYNUVbsK28zEKABKr0Rp-P9rJdCZF4MW22LAo0UoCKXgb5oC9cpA4yDdE0wcs4ZDszyb_CHFNxWATDzx4VvDvtBbWt79DqWdymDsh8DoIlkmWCwrXp6Xw7hssBtWz2Z3XwuglCsDzd_bafOW1um0J73ECA6fWTEzq0owOcn2aa4pah5CMX-J-fq9KEKTnQSpcBz6z-1eu56Ry2FZ3ok-nRNZXXOf9FkiVrA9Ro3QT0SdYtGAexS9U0WH21Q-9Om3cea3lwqPcM2Y2Pu6iaEoOYfWiP_NSS5w603d-2sCDKd84HQFjGC2YOBCcifG2BkXUDSifV2qtukwBlViUru6uzmZQE-e61R7lTQ9ONgwbbkumSJMn2rqVvscfLuLh1DvokxEy6BDqjfThVWYlsl2_AcP1jtwzQO9RQlq7Yp3462xNNqGC0eDQElyS_bcNvzSr4idb957lwlu9KWGTQeebj_iZyawi4bNbAzN91Y-LlUaflS9qP_emocPUDLRiBs5cjuNzAy5Fz9m35d9rCdKuwXnmGpBBTtPajUTRwBmvmDPjkgpUVcynaLskXzSAsAwfMNV8IAI_W7zMcIfGJELOizJcyeBG49S9i9jIW3e-uItrHLSVPLHnUDMiMuULmoyW3YJU21L4vku8cgSy5WGsjzZscvM3kmmNf-9RX8G3w4oyBIlKJGodjV5CFiwrTWVc_dzPaZbphHV04rxdpObf3WxBawjkLD3ClQB0DTZWBSNshzUR166LQnzpvr2I3xxhCEgS_hFGgL9FR-KlBuHP001ymAhd51FwfZBuQeEHrtCgpI3hDXD7pOgquo0iB0KcXTfCbRZv5Pc-95ppV63QkmxWfGNg53Sjj097GsLnYkEOhap5vqMHHbWeQMVHTLZdIx7sTK0effYDV34KLGZfMmLErNHgEW2ORhfVqTeLJb9fpgvEeUmcEzruytv16qniOZPoiP-j0LIMKllgzMKzskv4uixaFOXJOY63jeRYzMv6uYNYmEj23IHdkH4EyeuxcQVob6yEjI35QvkOg6OMOyAPNUES70j-QkR0=\",\"summary\":[]}"},{"type":"text","text":"Not sure. Likely **not first-class/built-in** on this Pi setup right now.\n\nWhat I do know:\n- `pi` supports provider keys via env/auth storage.\n- I did **not** find local config showing DeepSeek already wired in.\n- So this may be:\n  - supported if current `pi` build includes a DeepSeek provider, or\n  - possible via custom `models.json` provider config.\n\nShort version:\n- **Official in upstream pi?** I can verify.\n- **Official in your current machine config?** No sign of it.\n\nIf you want, I check the installed `pi` version and whether `deepseek` is a known provider/model here.","textSignature":"{\"v\":1,\"id\":\"msg_0f48e77c48749cb1016a1769ea4a4c819b9ad017557314b755\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":13101,"output":176,"cacheRead":5120,"cacheWrite":0,"totalTokens":18397,"cost":{"input":0.032752500000000004,"output":0.00264,"cacheRead":0.0012799999999999999,"cacheWrite":0,"total":0.03667250000000001}},"stopReason":"stop","timestamp":1779919328720,"responseId":"resp_0f48e77c48749cb1016a1769e32ea8819b868f57bdb16d20e7"}}
{"type":"message","id":"082e9c87","parentId":"c9957b85","timestamp":"2026-05-27T22:02:49.063Z","message":{"role":"user","content":[{"type":"text","text":"[telegram] upstream, check here and online"}],"timestamp":1779919369057}}
{"type":"message","id":"3d5beb7c","parentId":"082e9c87","timestamp":"2026-05-27T22:02:56.148Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Checking package and tools**\n\nI need to use the web, possibly looking at the curl package documentation. My local installed pi might not be adequate. I’m considering if skill memory is needed — maybe not. I’ll check online and locally using bash to inspect the installed packages or get help from the command line. I could use npm package documentation too. Let's start with bash commands like \"which pi\" and \"pi --help\" to list models and check npm info.","thinkingSignature":"{\"id\":\"rs_0f48e77c48749cb1016a176a09ec04819bb896f5f23a108299\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqF2oQVcDvspNOTSJYUaJDR9M8SAFzif_nlTPNk2Q15Rfw73DD8i8D3Kb8nSWeMqwo5SnZOayQOH2NVCE3X7XzIJVm4TeMd0KOtL6oMD88q2wRexJ8zMX9O9d1O-BnkuqLCj2jHwCtGkAHEzczy3Qi_0QPgNfuHtnNFM9FMS9jwlhTuh0ibZnSBiag240ZahnfqCXlkxC288Lv3XVlLLGn9ZkB9xzJSmqROBByvYUrPWz4EiEs_Egwr2Gw20zEjmiPBkaT0CiRHZqTiMOVCpNh2n214xCariK-Rl71-MN7eT_IqMvD37Y__cfXoambsMMThmBNZBBTwXooYjr1mCaitsKQBLXdP-VKsSuJa04SqmlGAIzh1BvIcAwrRirOgEP9fmjomgXnXDRDJD2YIA_4yu7-rbQxzz-27Bm3q7gIsq444U3fenuVYtcnMepTW0srDwY3LLKgWtj5uP6UjZ8BsyGpIy_u0iaK75x3MQb2ZauI9eSOfLuqK4mBa1-vCihs0VaXjEFdYvZfdNlZj9nVzYXqefzctSqjjsAYhEogfc8nnKe-vWfbIHjydX0WjIixFHcwVQtoDSSUi0Ep7Hwx89A4qIarnCyqSmUWB4NM0LocWRJD2GKxfPANxqQZ-HG6z75J3ifEpuyyqKiiHVyk79pY8jnoBp6_tJdrTkMriBtgtNDuYomRfLOsRMEWDZWZfvWJYvZvTgQlOqsjQ0yefv81Kuf8rk96FeHvebmZRldGeBB1Er-Y5INg9BaQs5KgFxVCfgf1Nn-Rp8IESryfM1C_3r8jPju9YKvlYD8b6lQHFgepMmZA1zYdATjyPiePdcDa7v7caLeqYQ88qwFTl052kC-4Y1bBbB-Rj9AoW8QyfZCbF052N_YG_xfBMog-Aruh8Vcj_Lou6O8HN3Au_AJC-MSZSsVt4PsNXQSjk3q8-A2Q-jRvtKvwVzjGwWa_vDWrrS_efQOR3a7TToX1XHzb55gh_Yx7DR28ZNPvawDFYAVeTk7YrbdaycT9K38svea7pI0TfmFtkSYS1tX-t5xBhfsczbDEDPRloKcZw7jJYh6WxSJskwp2hgDKeU66ijUPxOkcbLVfF4imZrD2qMMEAs9Su5MCKH2NjcQ3cYGpDqgki40PP93PNd243cOfmLBLWXUpcgi9-K4JYPABxMQK7_AHhIOtMVer9h3zt1izwFKLR_aRy5Er-7t_7euTxCznOFjKavl3JSdvMObGy4Q-PW9_VAtV1QCtH5GAA98ykDnTVrUIPZKaKYyRSavReLoWK9pXOoUvPS4u73r0rb6oeR9YetyoBfZiueHFzhL4JXFRMI1cZRypk9Vh1TM9ub-7gN8sZ0Kum5_QEUXt9QTqmmREO9_qHanz7TMWR8jJ3j_w5SC1Kla6FitW3pvzZ6zj0_Quks3T8WdpMHJCqXNSGA==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Checking package and tools**\\n\\nI need to use the web, possibly looking at the curl package documentation. My local installed pi might not be adequate. I’m considering if skill memory is needed — maybe not. I’ll check online and locally using bash to inspect the installed packages or get help from the command line. I could use npm package documentation too. Let's start with bash commands like \\\"which pi\\\" and \\\"pi --help\\\" to list models and check npm info.\"}]}"},{"type":"toolCall","id":"call_xVxLCcdDuzacK9AP6pFnnWz7|fc_0f48e77c48749cb1016a176a100208819ba8aac05c783ff7a1","name":"bash","arguments":{"command":"set -e\nwhich pi || true\npi --version || true\npi --help | sed -n '1,220p' || true\npython - <<'PY'\nimport os,glob\nfor p in glob.glob('/home/sebas/.pnpm-store/v10/files/**', recursive=True):\n    pass\nPY","timeout":20}},{"type":"toolCall","id":"call_e7chPeRWLsn1kQ2HfFG6d1fk|fc_0f48e77c48749cb1016a176a100218819b943bc2ebf0348575","name":"bash","arguments":{"command":"set -e\ncurl -L --max-time 20 -s https://raw.githubusercontent.com/mariozechner/pi-coding-agent/main/docs/sdk.md | rg -n \"deepseek|DeepSeek\" -n -S || true\ncurl -L --max-time 20 -s https://raw.githubusercontent.com/mariozechner/pi-coding-agent/main/README.md | rg -n \"deepseek|DeepSeek\" -n -S || true\nnpm view @mariozechner/pi-coding-agent version dist-tags.latest --json || true","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":463,"output":322,"cacheRead":17920,"cacheWrite":0,"totalTokens":18705,"cost":{"input":0.0011575000000000001,"output":0.00483,"cacheRead":0.00448,"cacheWrite":0,"total":0.0104675}},"stopReason":"toolUse","timestamp":1779919369058,"responseId":"resp_0f48e77c48749cb1016a176a094b50819ba2b1760129cbec04"}}
{"type":"message","id":"37dc6b9f","parentId":"3d5beb7c","timestamp":"2026-05-27T22:03:00.299Z","message":{"role":"toolResult","toolCallId":"call_xVxLCcdDuzacK9AP6pFnnWz7|fc_0f48e77c48749cb1016a176a100208819ba8aac05c783ff7a1","toolName":"bash","content":[{"type":"text","text":"/home/sebas/.npm-global/bin/pi\n0.74.0\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"openrouter/nvidia/nemotron-3-super-120b-a12b:free\"\nWarning: No models match pattern \"openrouter/qwen/qwen3-coder:free\"\npi - AI coding assistant with read, bash, edit, write tools\n\nUsage:\n  pi [options] [@files...] [messages...]\n\nCommands:\n  pi install <source> [-l]     Install extension source and add to settings\n  pi remove <source> [-l]      Remove extension source from settings\n  pi uninstall <source> [-l]   Alias for remove\n  pi update [source|self|pi]   Update pi and installed extensions\n  pi list                      List installed extensions from settings\n  pi config                    Open TUI to enable/disable package resources\n  pi <command> --help          Show help for install/remove/uninstall/update/list\n\nOptions:\n  --provider <name>              Provider name (default: google)\n  --model <pattern>              Model pattern or ID (supports \"provider/id\" and optional \":<thinking>\")\n  --api-key <key>                API key (defaults to env vars)\n  --system-prompt <text>         System prompt (default: coding assistant prompt)\n  --append-system-prompt <text>  Append text or file contents to the system prompt (can be used multiple times)\n  --mode <mode>                  Output mode: text (default), json, or rpc\n  --print, -p                    Non-interactive mode: process prompt and exit\n  --continue, -c                 Continue previous session\n  --resume, -r                   Select a session to resume\n  --session <path|id>            Use specific session file or partial UUID\n  --fork <path|id>               Fork specific session file or partial UUID into a new session\n  --session-dir <dir>            Directory for session storage and lookup\n  --no-session                   Don't save session (ephemeral)\n  --models <patterns>            Comma-separated model patterns for Ctrl+P cycling\n                                 Supports globs (anthropic/*, *sonnet*) and fuzzy matching\n  --no-tools, -nt                Disable all tools by default (built-in and extension)\n  --no-builtin-tools, -nbt       Disable built-in tools by default but keep extension/custom tools enabled\n  --tools, -t <tools>            Comma-separated allowlist of tool names to enable\n                                 Applies to built-in, extension, and custom tools\n  --thinking <level>             Set thinking level: off, minimal, low, medium, high, xhigh\n  --extension, -e <path>         Load an extension file (can be used multiple times)\n  --no-extensions, -ne           Disable extension discovery (explicit -e paths still work)\n  --skill <path>                 Load a skill file or directory (can be used multiple times)\n  --no-skills, -ns               Disable skills discovery and loading\n  --prompt-template <path>       Load a prompt template file or directory (can be used multiple times)\n  --no-prompt-templates, -np     Disable prompt template discovery and loading\n  --theme <path>                 Load a theme file or directory (can be used multiple times)\n  --no-themes                    Disable theme discovery and loading\n  --no-context-files, -nc        Disable AGENTS.md and CLAUDE.md discovery and loading\n  --export <file>                Export session file to HTML and exit\n  --list-models [search]         List available models (with optional fuzzy search)\n  --verbose                      Force verbose startup (overrides quietStartup setting)\n  --offline                      Disable startup network operations (same as PI_OFFLINE=1)\n  --help, -h                     Show this help\n  --version, -v                  Show version number\n\nExtensions can register additional flags (e.g., --plan from plan-mode extension).\nExtension CLI Flags:\n  --switch-session            Open the session-switch picker after startup, then relaunch into the selected session\n\n\nExamples:\n  # Interactive mode\n  pi\n\n  # Interactive mode with initial prompt\n  pi \"List all .ts files in src/\"\n\n  # Include files in initial message\n  pi @prompt.md @image.png \"What color is the sky?\"\n\n  # Non-interactive mode (process and exit)\n  pi -p \"List all .ts files in src/\"\n\n  # Multiple messages (interactive)\n  pi \"Read package.json\" \"What dependencies do we have?\"\n\n  # Continue previous session\n  pi --continue \"What did we discuss?\"\n\n  # Use different model\n  pi --provider openai --model gpt-4o-mini \"Help me refactor this code\"\n\n  # Use model with provider prefix (no --provider needed)\n  pi --model openai/gpt-4o \"Help me refactor this code\"\n\n  # Use model with thinking level shorthand\n  pi --model sonnet:high \"Solve this complex problem\"\n\n  # Limit model cycling to specific models\n  pi --models claude-sonnet,claude-haiku,gpt-4o\n\n  # Limit to a specific provider with glob pattern\n  pi --models \"github-copilot/*\"\n\n  # Cycle models with fixed thinking levels\n  pi --models sonnet:high,haiku:low\n\n  # Start with a specific thinking level\n  pi --thinking high \"Solve this complex problem\"\n\n  # Read-only mode (no file modifications possible)\n  pi --tools read,grep,find,ls -p \"Review the code in src/\"\n\n  # Export a session file to HTML\n  pi --export ~/.pi/agent/sessions/--path--/session.jsonl\n  pi --export session.jsonl output.html\n\nEnvironment Variables:\n  ANTHROPIC_API_KEY                - Anthropic Claude API key\n  ANTHROPIC_OAUTH_TOKEN            - Anthropic OAuth token (alternative to API key)\n  OPENAI_API_KEY                   - OpenAI GPT API key\n  AZURE_OPENAI_API_KEY             - Azure OpenAI API key\n  AZURE_OPENAI_BASE_URL            - Azure OpenAI/Cognitive Services base URL (e.g. https://{resource}.openai.azure.com)\n  AZURE_OPENAI_RESOURCE_NAME       - Azure OpenAI resource name (alternative to base URL)\n  AZURE_OPENAI_API_VERSION         - Azure OpenAI API version (default: v1)\n  AZURE_OPENAI_DEPLOYMENT_NAME_MAP - Azure OpenAI model=deployment map (comma-separated)\n  DEEPSEEK_API_KEY                 - DeepSeek API key\n  GEMINI_API_KEY                   - Google Gemini API key\n  GROQ_API_KEY                     - Groq API key\n  CEREBRAS_API_KEY                 - Cerebras API key\n  XAI_API_KEY                      - xAI Grok API key\n  FIREWORKS_API_KEY                - Fireworks API key\n  OPENROUTER_API_KEY               - OpenRouter API key\n  AI_GATEWAY_API_KEY               - Vercel AI Gateway API key\n  ZAI_API_KEY                      - ZAI API key\n  MISTRAL_API_KEY                  - Mistral API key\n  MINIMAX_API_KEY                  - MiniMax API key\n  MOONSHOT_API_KEY                 - Moonshot AI API key\n  OPENCODE_API_KEY                 - OpenCode Zen/OpenCode Go API key\n  KIMI_API_KEY                     - Kimi For Coding API key\n  CLOUDFLARE_API_KEY               - Cloudflare API token (Workers AI and AI Gateway)\n  CLOUDFLARE_ACCOUNT_ID            - Cloudflare account id (required for both)\n  CLOUDFLARE_GATEWAY_ID            - Cloudflare AI Gateway slug (required for AI Gateway)\n  XIAOMI_API_KEY                   - Xiaomi MiMo API key (api.xiaomimimo.com billing)\n  XIAOMI_TOKEN_PLAN_CN_API_KEY     - Xiaomi MiMo Token Plan API key (China region)\n  XIAOMI_TOKEN_PLAN_AMS_API_KEY    - Xiaomi MiMo Token Plan API key (Amsterdam region)\n  XIAOMI_TOKEN_PLAN_SGP_API_KEY    - Xiaomi MiMo Token Plan API key (Singapore region)\n  AWS_PROFILE                      - AWS profile for Amazon Bedrock\n  AWS_ACCESS_KEY_ID                - AWS access key for Amazon Bedrock\n  AWS_SECRET_ACCESS_KEY            - AWS secret key for Amazon Bedrock\n  AWS_BEARER_TOKEN_BEDROCK         - Bedrock API key (bearer token)\n  AWS_REGION                       - AWS region for Amazon Bedrock (e.g., us-east-1)\n  PI_CODING_AGENT_DIR              - Config directory (default: ~/.pi/agent)\n  PI_CODING_AGENT_SESSION_DIR      - Session storage directory (overridden by --session-dir)\n  PI_PACKAGE_DIR                   - Override package directory (for Nix/Guix store paths)\n  PI_OFFLINE                       - Disable startup network operations when set to 1/true/yes\n  PI_TELEMETRY                     - Override install telemetry when set to 1/true/yes or 0/false/no\n  PI_SHARE_VIEWER_URL              - Base URL for /share command (default: https://pi.dev/session/)\n\nBuilt-in Tool Names:\n  read   - Read file contents\n  bash   - Execute bash commands\n  edit   - Edit files with find/replace\n  write  - Write files (creates/overwrites)\n  grep   - Search file contents (read-only, off by default)\n  find   - Find files by glob pattern (read-only, off by default)\n  ls     - List directory contents (read-only, off by default)\n\n"}],"isError":false,"timestamp":1779919380298}}
{"type":"message","id":"91017047","parentId":"37dc6b9f","timestamp":"2026-05-27T22:03:00.300Z","message":{"role":"toolResult","toolCallId":"call_e7chPeRWLsn1kQ2HfFG6d1fk|fc_0f48e77c48749cb1016a176a100218819b943bc2ebf0348575","toolName":"bash","content":[{"type":"text","text":"{\n  \"version\": \"0.73.1\",\n  \"dist-tags.latest\": \"0.73.1\"\n}\n"}],"isError":false,"timestamp":1779919380299}}
{"type":"message","id":"ad91757e","parentId":"91017047","timestamp":"2026-05-27T22:03:07.015Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Exploring package details**\n\nI need to figure out why the online grep output didn't show anything relevant. It seems like there’s no mention at all. Maybe I should check the package source online for deepseek. I could inspect the installed package or the npm tarball; that might help find the deepseek provider. So, let's try listing the models for deepseek and then grep the installed package specifically for deepseek.","thinkingSignature":"{\"id\":\"rs_0f48e77c48749cb1016a176a14fef0819bae12efe2eb8e3e45\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqF2oaYatPqzGvn5vxRqQDEhnZlDoDFG1SkTRC6p2NV-xIdX5Hi8qKVOSW267IuV31xwPKIG67aAJimmQv0W6JNxbbTlIIDNLxtkh4AQsOWgNWCumb0W2s_fzEPyiAbz6RUDiIwP7K-7TW2VwO0id3-dSqhEuGefBWCp042eqqTlIEJe3AzAWUbDN1KarFxVlZnSQ9L4Ghe-f5J0fRi5t3U-5PmZwoNpuDnxmsGKW2YWDfVowy-sbRpB4T5Z0RlGVExdY4tb-jfnBS2YXhvT8WS_Je1rFunxAcUc1SJXizhCy2NnoV25SiVYjkRiGfHS15Prn2wNJ8guWG0OF5m_xZrFp-c-SbfgGZDla2K-TAczFm4Zfihdnn-8JlbUHxiaATxgDkrqeCJbmN3aZQmMBFvrJ3ors8sUt284cQtRK8nNqPRekthGnQRg35QRYJG-Sq9_zDHOEonKWnp7cmD8dGhxemAim4v26sO8Zsr_hb_5E-0Q7nikW-XlBmMIeHocXX8pOz2N8lV2sXp6vey98FVbISqoY9hXAZXq7xtMIvvmCySobKKo-YdsUotJa5NpL5ewc71_92lY0cuAvk9sSY2pcAezmQ9uVRkosri8pCJ8N93U31gShAJHKMnHB8fJ2NsAniyPUFHlYHrpWwYKu4AgPI7pYgw7R7Sv52NMQTaCFxgFk3zhrl8WsZ02tzUYClJ0N20yo-pqWh7fs1B_Mqe-G1-R2tw-s9EW4s6WlN_lU-9QwgtTNqMH71MeZcnOPq3alckK5Rpjdwk7Uzl3g9wtJap8Pe_ok1oJ0vaSmHPb6hKgm320L_LOHDnUbO0eJRCbz2MluOOIouzByBBUQQQgedryEegtI2qz_Lb1Xa02vCMoKFGr7bOQbMCspzVUFxZiS75S8Hi71uj8Ef9QKg_t-MnvwnzfTTEqsn5u1-kxvW5OFurcU5MLiKJ03_dm0QNeTP-wP8JQJGJFcmlUqirecOmAaeH8f2G0WSpy5z01tBM8cddvC-7qX8S47xKhpTsRKvntslcc4fMP1p6HM1NabsJMohNEierNh6LQI-e67Ge73WwdhjxuAoL1nKhwagCCmqa4p2qP4pJulpR9-RI5MvV8XNQAsYcv0oQd99uZ35_eDWoi3H9VkJsAPdMP81oHyHvL0sqMCzy3ZlX77XOqTQTu5Mcb6zg6OlGlTqXeMwdPkZFlBBbQPrUC3WUakPP5POS8dx0-zg5tchMRAhMt4xc3le2S4n43jNkwddOzuvVgdkrTy4epS116LXSxPQRQof\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Exploring package details**\\n\\nI need to figure out why the online grep output didn't show anything relevant. It seems like there’s no mention at all. Maybe I should check the package source online for deepseek. I could inspect the installed package or the npm tarball; that might help find the deepseek provider. So, let's try listing the models for deepseek and then grep the installed package specifically for deepseek.\"}]}"},{"type":"toolCall","id":"call_emNZbA4POpp2MWTzVpSE1Cwc|fc_0f48e77c48749cb1016a176a1ab6fc819b8794882be5617f09","name":"bash","arguments":{"command":"pi --list-models deepseek | sed -n '1,220p'","timeout":20}},{"type":"toolCall","id":"call_3CfH7XEjuxR3yXPNX5ck93M2|fc_0f48e77c48749cb1016a176a1ab718819b94141c6268cfe93d","name":"bash","arguments":{"command":"set -e\nPI_BIN=$(readlink -f $(which pi))\necho \"$PI_BIN\"\nPKG_DIR=$(cd \"$(dirname \"$PI_BIN\")/../lib/node_modules/@mariozechner/pi-coding-agent\" 2>/dev/null && pwd || true)\necho \"PKG_DIR=$PKG_DIR\"\nif [ -n \"$PKG_DIR\" ]; then rg -n \"deepseek|DEEPSEEK\" \"$PKG_DIR\" -S --glob '!**/node_modules/**' | sed -n '1,200p'; fi","timeout":20}},{"type":"toolCall","id":"call_OEIxZuq2JQ0axoSSSbQNs8v5|fc_0f48e77c48749cb1016a176a1ab71c819baf5f9fc85799d290","name":"bash","arguments":{"command":"set -e\ncurl -L --max-time 20 -s https://registry.npmjs.org/@mariozechner/pi-coding-agent/latest | jq -r '.version, .repository.url, .homepage, .bugs.url'","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":2903,"output":316,"cacheRead":17920,"cacheWrite":0,"totalTokens":21139,"cost":{"input":0.007257500000000001,"output":0.00474,"cacheRead":0.00448,"cacheWrite":0,"total":0.0164775}},"stopReason":"toolUse","timestamp":1779919380300,"responseId":"resp_0f48e77c48749cb1016a176a147a94819b97194bba4d27d6af"}}
{"type":"message","id":"447cda75","parentId":"ad91757e","timestamp":"2026-05-27T22:03:09.399Z","message":{"role":"toolResult","toolCallId":"call_emNZbA4POpp2MWTzVpSE1Cwc|fc_0f48e77c48749cb1016a176a1ab6fc819b8794882be5617f09","toolName":"bash","content":[{"type":"text","text":"Warning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"openrouter/nvidia/nemotron-3-super-120b-a12b:free\"\nWarning: No models match pattern \"openrouter/qwen/qwen3-coder:free\"\nprovider  model                               context  max-out  thinking  images\nnvidia    deepseek-ai/deepseek-v3.1-terminus  128K     8.2K     yes       no    \nnvidia    deepseek-ai/deepseek-v3.2           163.8K   65.5K    yes       no    \nnvidia    deepseek-ai/deepseek-v4-flash       1.0M     393.2K   yes       no    \nnvidia    deepseek-ai/deepseek-v4-pro         1.0M     393.2K   yes       no    \n"}],"isError":false,"timestamp":1779919389399}}
{"type":"message","id":"73ecd485","parentId":"447cda75","timestamp":"2026-05-27T22:03:09.399Z","message":{"role":"toolResult","toolCallId":"call_3CfH7XEjuxR3yXPNX5ck93M2|fc_0f48e77c48749cb1016a176a1ab718819b94141c6268cfe93d","toolName":"bash","content":[{"type":"text","text":"/home/sebas/.npm-global/lib/node_modules/@earendil-works/pi-coding-agent/dist/cli.js\nPKG_DIR=\n"}],"isError":false,"timestamp":1779919389399}}
{"type":"message","id":"8ad15e16","parentId":"73ecd485","timestamp":"2026-05-27T22:03:09.403Z","message":{"role":"toolResult","toolCallId":"call_OEIxZuq2JQ0axoSSSbQNs8v5|fc_0f48e77c48749cb1016a176a1ab71c819baf5f9fc85799d290","toolName":"bash","content":[{"type":"text","text":"0.73.1\ngit+https://github.com/badlogic/pi-mono.git\nhttps://github.com/badlogic/pi-mono#readme\nhttps://github.com/badlogic/pi-mono/issues\n"}],"isError":false,"timestamp":1779919389399}}
{"type":"message","id":"576f1129","parentId":"8ad15e16","timestamp":"2026-05-27T22:03:16.699Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Exploring package options**\n\nI need to gather some information from upstream sources, maybe checking the docs or source for the DeepSeek environment variable and the provider implementation. Since the installed path uses a different namespace, I'm considering using curl to search the raw package repo via the GitHub API. However, maybe using an npm tarball would be simpler. I'll explore these options—checking if the GitHub search API is unauthenticated and possibly using curl on the repo tree.","thinkingSignature":"{\"id\":\"rs_0f48e77c48749cb1016a176a1e26e0819ba884565c8db1646c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqF2ok1cqvdq3_TAGC3Txz2oiPzfNojAVzaITcwdpn2YtADt0rjQV8VdVk2Fpq788z6-MuSkbDODfORewQfmAz54-6Tuti7N86Wi9hYFe3a_jxF2vvK7bJWoIsWMFuLuCRcxBo60UCX0pASTyYh0vTfFKdHJbSgaSqW_OWm3rR3gW1YhiwwI6Oe0Y06g37nEeIfALTBZU9SsEc2W1om1DYNsgd1Rnh_4zP-CWgwJqZgdQRFFSdsa7UyrrNiORN4zOf0V7KLBmdR0454TgaBcK0bBtvmmLvHVJ9LQqIWRLBaSE1lL1MipahL2H8WYnbHUwNSeV4vm_65-qO9wBZhyHyOMjWAUXMBKwMyCR5-6SuThI6r7Z2V-HC0trgUNU7qlQWwupllDfpy49QoCeuqvNf5wTpwL0P9FHjD8fzmh7eKRczyl6-Yi0WYnW_jFXnd-Be5Vyg8L0F3qhxKk4uwJte7rAjNbfbCT15ZMO-zU9cNe02kKQi3IsNjtX4AHyuVWS3QMFWrMqAecOWRy_84YhxityrIelJ63Bl9y54rBdlJWy7QzsYsurc8TbT5Foy8dmQ1XwO9_8Lw2Xu_Qe5ddKXKvNkBjs9kyHHV2X7gDNaowh8bkAWzT01C0z5CawWPyPAq-Vm7a2cvf7yQ907H32GpRwAKLa_Y4jYQTxMG82EaYNPaxEYUMFrnx-IyhXibdHZlUTE5Q9KpGCiXZh1eCZ0GCoLlHa0FtpEhrhwnup3YrV9Jxnly_Q-LE4uMvWRGsrCuEVwsNOzcq1uUPHpzgSePREltu1WGeHYdbGFaAxGcFZh-ZKbzypFmmTz0hEKFUSi5QlL9Lv5IPXCfnvA_t4RIdqPg8AsEHguo5xzrWlh7cMURFdA_sK0TQw16ycyHDU8YY94nskAuZQhf66IIzDx_kLncP5hDe_9y9OfBkJxo73xLWnhbw2lJawWKq3RSQZdz7cUkAX3ItkHYFmKRJn4L7seUtVoWVrK5jQQif766KBnfsv3u2ezSVauRtnt4HPpGAbT89wCDma52MQRV9oYDt_lTeHy_GSMsE__YHkiYp2emlRP5dpJeTRp6LCJXsgrzLTvelbkkh4OkPTSQ_4r0jYTHzd64aAk_BDXlmAwOeJ-mS3NvDW9NDUuW6Ri8H_cDFqvuQ3HgEDN3lbWw67VhmuF27BnPboWwP3ypBaZSKc_H_FRQc-d2MiWJcG3mnA3pMdnYlVv496Y2eqegobExEvM7bWeVsWFhLTyI5L9ExssnsD4yrLhTlbbIw8cDZmiaVlB1EWF_qtBEouPwW12r2rORzmbRWS15xqJSQh9bXz6KCmcxRRfb3YSkPMoVffuk2hn5PMbWwxqseKGVenmbBQAWqFm2pHVRTNk57KldJ-tRZjzi6XAr-yaAh8uTA8IxWpmwbNXSDTdtYjvSv7XuHw2sysZ_y6j0XP5nP_LNALknU0bDFA_hzMu69PpzW_q-7x9wVomtQXVN-6o9wk_Fag-jpdUVOGo-971z1MubrGc0g82uS-h82Z7l2Z38OSG22Wv\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Exploring package options**\\n\\nI need to gather some information from upstream sources, maybe checking the docs or source for the DeepSeek environment variable and the provider implementation. Since the installed path uses a different namespace, I'm considering using curl to search the raw package repo via the GitHub API. However, maybe using an npm tarball would be simpler. I'll explore these options—checking if the GitHub search API is unauthenticated and possibly using curl on the repo tree.\"}]}"},{"type":"toolCall","id":"call_EtfF91zQCvch0Z2v8yVnD7YM|fc_0f48e77c48749cb1016a176a246620819bb63d7d84303c8f02","name":"bash","arguments":{"command":"set -e\nTMP=$(mktemp -d)\ncd \"$TMP\"\nURL=$(curl -s https://registry.npmjs.org/@mariozechner/pi-coding-agent/latest | jq -r '.dist.tarball')\necho \"$URL\"\ncurl -L -s \"$URL\" -o pkg.tgz\ntar -xzf pkg.tgz\nrg -n \"DEEPSEEK_API_KEY|deepseek\" package -S | sed -n '1,220p'","timeout":40}},{"type":"toolCall","id":"call_nScZC6AgRH8LeUXlKmhuVnnc|fc_0f48e77c48749cb1016a176a246630819b9394fc03d99ab42f","name":"bash","arguments":{"command":"set -e\ncurl -L --max-time 20 -s https://raw.githubusercontent.com/badlogic/pi-mono/main/README.md | rg -n \"DEEPSEEK|deepseek\" -S || true\ncurl -L --max-time 20 -s https://raw.githubusercontent.com/badlogic/pi-mono/main/docs/sdk.md | rg -n \"DEEPSEEK|deepseek\" -S || true","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":983,"output":346,"cacheRead":20480,"cacheWrite":0,"totalTokens":21809,"cost":{"input":0.0024575,"output":0.00519,"cacheRead":0.0051199999999999996,"cacheWrite":0,"total":0.0127675}},"stopReason":"toolUse","timestamp":1779919389400,"responseId":"resp_0f48e77c48749cb1016a176a1d9e8c819b8e1c55cc2000ba26"}}
{"type":"message","id":"ed9c7027","parentId":"576f1129","timestamp":"2026-05-27T22:03:18.339Z","message":{"role":"toolResult","toolCallId":"call_EtfF91zQCvch0Z2v8yVnD7YM|fc_0f48e77c48749cb1016a176a246620819bb63d7d84303c8f02","toolName":"bash","content":[{"type":"text","text":"package/dist/core/provider-display-names.d.ts.map:1:{\"version\":3,\"file\":\"provider-display-names.d.ts\",\"sourceRoot\":\"\",\"sources\":[\"../../src/core/provider-display-names.ts\"],\"names\":[],\"mappings\":\"AAAA,eAAO,MAAM,+BAA+B,EAAE,MAAM,CAAC,MAAM,EAAE,MAAM,CA8BlE,CAAC\",\"sourcesContent\":[\"export const BUILT_IN_PROVIDER_DISPLAY_NAMES: Record<string, string> = {\\n\\tanthropic: \\\"Anthropic\\\",\\n\\t\\\"amazon-bedrock\\\": \\\"Amazon Bedrock\\\",\\n\\t\\\"azure-openai-responses\\\": \\\"Azure OpenAI Responses\\\",\\n\\tcerebras: \\\"Cerebras\\\",\\n\\t\\\"cloudflare-ai-gateway\\\": \\\"Cloudflare AI Gateway\\\",\\n\\t\\\"cloudflare-workers-ai\\\": \\\"Cloudflare Workers AI\\\",\\n\\tdeepseek: \\\"DeepSeek\\\",\\n\\tfireworks: \\\"Fireworks\\\",\\n\\tgoogle: \\\"Google Gemini\\\",\\n\\t\\\"google-vertex\\\": \\\"Google Vertex AI\\\",\\n\\tgroq: \\\"Groq\\\",\\n\\thuggingface: \\\"Hugging Face\\\",\\n\\t\\\"kimi-coding\\\": \\\"Kimi For Coding\\\",\\n\\tmistral: \\\"Mistral\\\",\\n\\tminimax: \\\"MiniMax\\\",\\n\\t\\\"minimax-cn\\\": \\\"MiniMax (China)\\\",\\n\\tmoonshotai: \\\"Moonshot AI\\\",\\n\\t\\\"moonshotai-cn\\\": \\\"Moonshot AI (China)\\\",\\n\\topencode: \\\"OpenCode Zen\\\",\\n\\t\\\"opencode-go\\\": \\\"OpenCode Go\\\",\\n\\topenai: \\\"OpenAI\\\",\\n\\topenrouter: \\\"OpenRouter\\\",\\n\\t\\\"vercel-ai-gateway\\\": \\\"Vercel AI Gateway\\\",\\n\\txai: \\\"xAI\\\",\\n\\tzai: \\\"ZAI\\\",\\n\\txiaomi: \\\"Xiaomi MiMo\\\",\\n\\t\\\"xiaomi-token-plan-cn\\\": \\\"Xiaomi MiMo Token Plan (China)\\\",\\n\\t\\\"xiaomi-token-plan-ams\\\": \\\"Xiaomi MiMo Token Plan (Amsterdam)\\\",\\n\\t\\\"xiaomi-token-plan-sgp\\\": \\\"Xiaomi MiMo Token Plan (Singapore)\\\",\\n};\\n\"]}\npackage/dist/core/provider-display-names.js.map:1:{\"version\":3,\"file\":\"provider-display-names.js\",\"sourceRoot\":\"\",\"sources\":[\"../../src/core/provider-display-names.ts\"],\"names\":[],\"mappings\":\"AAAA,MAAM,CAAC,MAAM,+BAA+B,GAA2B;IACtE,SAAS,EAAE,WAAW;IACtB,gBAAgB,EAAE,gBAAgB;IAClC,wBAAwB,EAAE,wBAAwB;IAClD,QAAQ,EAAE,UAAU;IACpB,uBAAuB,EAAE,uBAAuB;IAChD,uBAAuB,EAAE,uBAAuB;IAChD,QAAQ,EAAE,UAAU;IACpB,SAAS,EAAE,WAAW;IACtB,MAAM,EAAE,eAAe;IACvB,eAAe,EAAE,kBAAkB;IACnC,IAAI,EAAE,MAAM;IACZ,WAAW,EAAE,cAAc;IAC3B,aAAa,EAAE,iBAAiB;IAChC,OAAO,EAAE,SAAS;IAClB,OAAO,EAAE,SAAS;IAClB,YAAY,EAAE,iBAAiB;IAC/B,UAAU,EAAE,aAAa;IACzB,eAAe,EAAE,qBAAqB;IACtC,QAAQ,EAAE,cAAc;IACxB,aAAa,EAAE,aAAa;IAC5B,MAAM,EAAE,QAAQ;IAChB,UAAU,EAAE,YAAY;IACxB,mBAAmB,EAAE,mBAAmB;IACxC,GAAG,EAAE,KAAK;IACV,GAAG,EAAE,KAAK;IACV,MAAM,EAAE,aAAa;IACrB,sBAAsB,EAAE,gCAAgC;IACxD,uBAAuB,EAAE,oCAAoC;IAC7D,uBAAuB,EAAE,oCAAoC;CAC7D,CAAC\",\"sourcesContent\":[\"export const BUILT_IN_PROVIDER_DISPLAY_NAMES: Record<string, string> = {\\n\\tanthropic: \\\"Anthropic\\\",\\n\\t\\\"amazon-bedrock\\\": \\\"Amazon Bedrock\\\",\\n\\t\\\"azure-openai-responses\\\": \\\"Azure OpenAI Responses\\\",\\n\\tcerebras: \\\"Cerebras\\\",\\n\\t\\\"cloudflare-ai-gateway\\\": \\\"Cloudflare AI Gateway\\\",\\n\\t\\\"cloudflare-workers-ai\\\": \\\"Cloudflare Workers AI\\\",\\n\\tdeepseek: \\\"DeepSeek\\\",\\n\\tfireworks: \\\"Fireworks\\\",\\n\\tgoogle: \\\"Google Gemini\\\",\\n\\t\\\"google-vertex\\\": \\\"Google Vertex AI\\\",\\n\\tgroq: \\\"Groq\\\",\\n\\thuggingface: \\\"Hugging Face\\\",\\n\\t\\\"kimi-coding\\\": \\\"Kimi For Coding\\\",\\n\\tmistral: \\\"Mistral\\\",\\n\\tminimax: \\\"MiniMax\\\",\\n\\t\\\"minimax-cn\\\": \\\"MiniMax (China)\\\",\\n\\tmoonshotai: \\\"Moonshot AI\\\",\\n\\t\\\"moonshotai-cn\\\": \\\"Moonshot AI (China)\\\",\\n\\topencode: \\\"OpenCode Zen\\\",\\n\\t\\\"opencode-go\\\": \\\"OpenCode Go\\\",\\n\\topenai: \\\"OpenAI\\\",\\n\\topenrouter: \\\"OpenRouter\\\",\\n\\t\\\"vercel-ai-gateway\\\": \\\"Vercel AI Gateway\\\",\\n\\txai: \\\"xAI\\\",\\n\\tzai: \\\"ZAI\\\",\\n\\txiaomi: \\\"Xiaomi MiMo\\\",\\n\\t\\\"xiaomi-token-plan-cn\\\": \\\"Xiaomi MiMo Token Plan (China)\\\",\\n\\t\\\"xiaomi-token-plan-ams\\\": \\\"Xiaomi MiMo Token Plan (Amsterdam)\\\",\\n\\t\\\"xiaomi-token-plan-sgp\\\": \\\"Xiaomi MiMo Token Plan 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* Model registry - manages built-in and custom models, provides API key resolution.\\n */\\n\\nimport {\\n\\ttype AnthropicMessagesCompat,\\n\\ttype Api,\\n\\ttype AssistantMessageEventStream,\\n\\ttype Context,\\n\\tgetModels,\\n\\tgetProviders,\\n\\ttype KnownProvider,\\n\\ttype Model,\\n\\ttype OAuthProviderInterface,\\n\\ttype OpenAICompletionsCompat,\\n\\ttype OpenAIResponsesCompat,\\n\\tregisterApiProvider,\\n\\tresetApiProviders,\\n\\ttype SimpleStreamOptions,\\n} from \\\"@mariozechner/pi-ai\\\";\\nimport { registerOAuthProvider, resetOAuthProviders } from \\\"@mariozechner/pi-ai/oauth\\\";\\nimport { existsSync, readFileSync } from \\\"fs\\\";\\nimport { join } from \\\"path\\\";\\nimport { type Static, Type } from \\\"typebox\\\";\\nimport { Compile } from \\\"typebox/compile\\\";\\nimport type { TLocalizedValidationError } from \\\"typebox/error\\\";\\nimport { getAgentDir } from \\\"../config.js\\\";\\nimport type { AuthStatus, AuthStorage } from \\\"./auth-storage.js\\\";\\nimport { BUILT_IN_PROVIDER_DISPLAY_NAMES } from \\\"./provider-display-names.js\\\";\\nimport {\\n\\tclearConfigValueCache,\\n\\tresolveConfigValueOrThrow,\\n\\tresolveConfigValueUncached,\\n\\tresolveHeadersOrThrow,\\n} from \\\"./resolve-config-value.js\\\";\\n\\n// Schema for OpenRouter routing preferences\\nconst PercentileCutoffsSchema = Type.Object({\\n\\tp50: Type.Optional(Type.Number()),\\n\\tp75: Type.Optional(Type.Number()),\\n\\tp90: Type.Optional(Type.Number()),\\n\\tp99: Type.Optional(Type.Number()),\\n});\\n\\nconst OpenRouterRoutingSchema = Type.Object({\\n\\tallow_fallbacks: Type.Optional(Type.Boolean()),\\n\\trequire_parameters: Type.Optional(Type.Boolean()),\\n\\tdata_collection: Type.Optional(Type.Union([Type.Literal(\\\"deny\\\"), Type.Literal(\\\"allow\\\")])),\\n\\tzdr: Type.Optional(Type.Boolean()),\\n\\tenforce_distillable_text: Type.Optional(Type.Boolean()),\\n\\torder: Type.Optional(Type.Array(Type.String())),\\n\\tonly: Type.Optional(Type.Array(Type.String())),\\n\\tignore: Type.Optional(Type.Array(Type.String())),\\n\\tquantizations: Type.Optional(Type.Array(Type.String())),\\n\\tsort: Type.Optional(\\n\\t\\tType.Union([\\n\\t\\t\\tType.String(),\\n\\t\\t\\tType.Object({\\n\\t\\t\\t\\tby: Type.Optional(Type.String()),\\n\\t\\t\\t\\tpartition: Type.Optional(Type.Union([Type.String(), Type.Null()])),\\n\\t\\t\\t}),\\n\\t\\t]),\\n\\t),\\n\\tmax_price: Type.Optional(\\n\\t\\tType.Object({\\n\\t\\t\\tprompt: Type.Optional(Type.Union([Type.Number(), Type.String()])),\\n\\t\\t\\tcompletion: Type.Optional(Type.Union([Type.Number(), Type.String()])),\\n\\t\\t\\timage: Type.Optional(Type.Union([Type.Number(), Type.String()])),\\n\\t\\t\\taudio: Type.Optional(Type.Union([Type.Number(), Type.String()])),\\n\\t\\t\\trequest: Type.Optional(Type.Union([Type.Number(), Type.String()])),\\n\\t\\t}),\\n\\t),\\n\\tpreferred_min_throughput: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\\n\\tpreferred_max_latency: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\\n});\\n\\n// Schema for Vercel AI Gateway routing preferences\\nconst VercelGatewayRoutingSchema = Type.Object({\\n\\tonly: Type.Optional(Type.Array(Type.String())),\\n\\torder: Type.Optional(Type.Array(Type.String())),\\n});\\n\\n// Schema for thinking level support and provider-specific values\\nconst ThinkingLevelMapValueSchema = Type.Union([Type.String(), Type.Null()]);\\nconst ThinkingLevelMapSchema = Type.Object({\\n\\toff: Type.Optional(ThinkingLevelMapValueSchema),\\n\\tminimal: Type.Optional(ThinkingLevelMapValueSchema),\\n\\tlow: Type.Optional(ThinkingLevelMapValueSchema),\\n\\tmedium: Type.Optional(ThinkingLevelMapValueSchema),\\n\\thigh: Type.Optional(ThinkingLevelMapValueSchema),\\n\\txhigh: Type.Optional(ThinkingLevelMapValueSchema),\\n});\\n\\nconst OpenAICompletionsCompatSchema = Type.Object({\\n\\tsupportsStore: Type.Optional(Type.Boolean()),\\n\\tsupportsDeveloperRole: Type.Optional(Type.Boolean()),\\n\\tsupportsReasoningEffort: Type.Optional(Type.Boolean()),\\n\\tsupportsUsageInStreaming: Type.Optional(Type.Boolean()),\\n\\tmaxTokensField: Type.Optional(Type.Union([Type.Literal(\\\"max_completion_tokens\\\"), Type.Literal(\\\"max_tokens\\\")])),\\n\\trequiresToolResultName: Type.Optional(Type.Boolean()),\\n\\trequiresAssistantAfterToolResult: Type.Optional(Type.Boolean()),\\n\\trequiresThinkingAsText: Type.Optional(Type.Boolean()),\\n\\trequiresReasoningContentOnAssistantMessages: Type.Optional(Type.Boolean()),\\n\\tthinkingFormat: Type.Optional(\\n\\t\\tType.Union([\\n\\t\\t\\tType.Literal(\\\"openai\\\"),\\n\\t\\t\\tType.Literal(\\\"openrouter\\\"),\\n\\t\\t\\tType.Literal(\\\"deepseek\\\"),\\n\\t\\t\\tType.Literal(\\\"zai\\\"),\\n\\t\\t\\tType.Literal(\\\"qwen\\\"),\\n\\t\\t\\tType.Literal(\\\"qwen-chat-template\\\"),\\n\\t\\t]),\\n\\t),\\n\\tcacheControlFormat: Type.Optional(Type.Literal(\\\"anthropic\\\")),\\n\\topenRouterRouting: Type.Optional(OpenRouterRoutingSchema),\\n\\tvercelGatewayRouting: Type.Optional(VercelGatewayRoutingSchema),\\n\\tsupportsStrictMode: Type.Optional(Type.Boolean()),\\n\\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\\n});\\n\\nconst OpenAIResponsesCompatSchema = Type.Object({\\n\\tsendSessionIdHeader: Type.Optional(Type.Boolean()),\\n\\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\\n});\\n\\nconst AnthropicMessagesCompatSchema = Type.Object({\\n\\tsupportsEagerToolInputStreaming: Type.Optional(Type.Boolean()),\\n\\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\\n});\\n\\nconst ProviderCompatSchema = Type.Union([\\n\\tOpenAICompletionsCompatSchema,\\n\\tOpenAIResponsesCompatSchema,\\n\\tAnthropicMessagesCompatSchema,\\n]);\\n\\n// Schema for custom model definition\\n// Most fields are optional with sensible defaults for local models (Ollama, LM Studio, etc.)\\nconst ModelDefinitionSchema = Type.Object({\\n\\tid: Type.String({ minLength: 1 }),\\n\\tname: Type.Optional(Type.String({ minLength: 1 })),\\n\\tapi: Type.Optional(Type.String({ minLength: 1 })),\\n\\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\\n\\treasoning: Type.Optional(Type.Boolean()),\\n\\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\\n\\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\\\"text\\\"), Type.Literal(\\\"image\\\")]))),\\n\\tcost: Type.Optional(\\n\\t\\tType.Object({\\n\\t\\t\\tinput: Type.Number(),\\n\\t\\t\\toutput: Type.Number(),\\n\\t\\t\\tcacheRead: Type.Number(),\\n\\t\\t\\tcacheWrite: Type.Number(),\\n\\t\\t}),\\n\\t),\\n\\tcontextWindow: Type.Optional(Type.Number()),\\n\\tmaxTokens: Type.Optional(Type.Number()),\\n\\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\\n\\tcompat: Type.Optional(ProviderCompatSchema),\\n});\\n\\n// Schema for per-model overrides (all fields optional, merged with built-in model)\\nconst ModelOverrideSchema = Type.Object({\\n\\tname: Type.Optional(Type.String({ minLength: 1 })),\\n\\treasoning: Type.Optional(Type.Boolean()),\\n\\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\\n\\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\\\"text\\\"), Type.Literal(\\\"image\\\")]))),\\n\\tcost: Type.Optional(\\n\\t\\tType.Object({\\n\\t\\t\\tinput: Type.Optional(Type.Number()),\\n\\t\\t\\toutput: Type.Optional(Type.Number()),\\n\\t\\t\\tcacheRead: Type.Optional(Type.Number()),\\n\\t\\t\\tcacheWrite: Type.Optional(Type.Number()),\\n\\t\\t}),\\n\\t),\\n\\tcontextWindow: Type.Optional(Type.Number()),\\n\\tmaxTokens: Type.Optional(Type.Number()),\\n\\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\\n\\tcompat: Type.Optional(ProviderCompatSchema),\\n});\\n\\ntype ModelOverride = Static<typeof ModelOverrideSchema>;\\n\\nconst ProviderConfigSchema = Type.Object({\\n\\tname: Type.Optional(Type.String({ minLength: 1 })),\\n\\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\\n\\tapiKey: Type.Optional(Type.String({ minLength: 1 })),\\n\\tapi: Type.Optional(Type.String({ minLength: 1 })),\\n\\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\\n\\tcompat: Type.Optional(ProviderCompatSchema),\\n\\tauthHeader: Type.Optional(Type.Boolean()),\\n\\tmodels: Type.Optional(Type.Array(ModelDefinitionSchema)),\\n\\tmodelOverrides: Type.Optional(Type.Record(Type.String(), ModelOverrideSchema)),\\n});\\n\\nconst ModelsConfigSchema = Type.Object({\\n\\tproviders: Type.Record(Type.String(), ProviderConfigSchema),\\n});\\n\\nconst validateModelsConfig = Compile(ModelsConfigSchema);\\n\\ntype ModelsConfig = Static<typeof ModelsConfigSchema>;\\n\\nfunction formatValidationPath(error: TLocalizedValidationError): string {\\n\\tif (error.keyword === \\\"required\\\") {\\n\\t\\tconst requiredProperties = (error.params as { requiredProperties?: string[] }).requiredProperties;\\n\\t\\tconst requiredProperty = requiredProperties?.[0];\\n\\t\\tif (requiredProperty) {\\n\\t\\t\\tconst basePath = error.instancePath.replace(/^\\\\//, \\\"\\\").replace(/\\\\//g, \\\".\\\");\\n\\t\\t\\treturn basePath ? `${basePath}.${requiredProperty}` : requiredProperty;\\n\\t\\t}\\n\\t}\\n\\tconst path = error.instancePath.replace(/^\\\\//, \\\"\\\").replace(/\\\\//g, \\\".\\\");\\n\\treturn path || \\\"root\\\";\\n}\\n\\n/** Strip `//` line comments and trailing commas from JSON, leaving string literals untouched. */\\nfunction stripJsonComments(input: string): string {\\n\\treturn input\\n\\t\\t.replace(/\\\"(?:\\\\\\\\.|[^\\\"\\\\\\\\])*\\\"|\\\\/\\\\/[^\\\\n]*/g, (m) => (m[0] === '\\\"' ? m : \\\"\\\"))\\n\\t\\t.replace(/\\\"(?:\\\\\\\\.|[^\\\"\\\\\\\\])*\\\"|,(\\\\s*[}\\\\]])/g, (m, tail) => tail ?? (m[0] === '\\\"' ? m : \\\"\\\"));\\n}\\n\\n/** Provider override config (baseUrl, compat) without request auth/headers */\\ninterface ProviderOverride {\\n\\tbaseUrl?: string;\\n\\tcompat?: Model<Api>[\\\"compat\\\"];\\n}\\n\\ninterface ProviderRequestConfig {\\n\\tapiKey?: string;\\n\\theaders?: Record<string, string>;\\n\\tauthHeader?: boolean;\\n}\\n\\nexport type ResolvedRequestAuth =\\n\\t| {\\n\\t\\t\\tok: true;\\n\\t\\t\\tapiKey?: string;\\n\\t\\t\\theaders?: Record<string, string>;\\n\\t  }\\n\\t| {\\n\\t\\t\\tok: false;\\n\\t\\t\\terror: string;\\n\\t  };\\n\\n/** Result of loading custom models from models.json */\\ninterface CustomModelsResult {\\n\\tmodels: Model<Api>[];\\n\\t/** Providers with baseUrl/headers/apiKey overrides for built-in models */\\n\\toverrides: Map<string, ProviderOverride>;\\n\\t/** Per-model overrides: provider -> modelId -> override */\\n\\tmodelOverrides: Map<string, Map<string, ModelOverride>>;\\n\\terror: string | undefined;\\n}\\n\\nfunction emptyCustomModelsResult(error?: string): CustomModelsResult {\\n\\treturn { models: [], overrides: new Map(), modelOverrides: new Map(), error };\\n}\\n\\nfunction mergeCompat(\\n\\tbaseCompat: Model<Api>[\\\"compat\\\"],\\n\\toverrideCompat: ModelOverride[\\\"compat\\\"],\\n): Model<Api>[\\\"compat\\\"] | undefined {\\n\\tif (!overrideCompat) return baseCompat;\\n\\n\\tconst base = baseCompat as OpenAICompletionsCompat | OpenAIResponsesCompat | AnthropicMessagesCompat | undefined;\\n\\tconst override = overrideCompat as OpenAICompletionsCompat | OpenAIResponsesCompat | AnthropicMessagesCompat;\\n\\tconst merged = { ...base, ...override } as OpenAICompletionsCompat | OpenAIResponsesCompat | AnthropicMessagesCompat;\\n\\n\\tconst baseCompletions = base as OpenAICompletionsCompat | undefined;\\n\\tconst overrideCompletions = override as OpenAICompletionsCompat;\\n\\tconst mergedCompletions = merged as OpenAICompletionsCompat;\\n\\n\\tif (baseCompletions?.openRouterRouting || overrideCompletions.openRouterRouting) {\\n\\t\\tmergedCompletions.openRouterRouting = {\\n\\t\\t\\t...baseCompletions?.openRouterRouting,\\n\\t\\t\\t...overrideCompletions.openRouterRouting,\\n\\t\\t};\\n\\t}\\n\\n\\tif (baseCompletions?.vercelGatewayRouting || overrideCompletions.vercelGatewayRouting) {\\n\\t\\tmergedCompletions.vercelGatewayRouting = {\\n\\t\\t\\t...baseCompletions?.vercelGatewayRouting,\\n\\t\\t\\t...overrideCompletions.vercelGatewayRouting,\\n\\t\\t};\\n\\t}\\n\\n\\treturn merged as Model<Api>[\\\"compat\\\"];\\n}\\n\\n/**\\n * Deep merge a model override into a model.\\n * Handles nested objects (cost, compat) by merging rather than replacing.\\n */\\nfunction applyModelOverride(model: Model<Api>, override: ModelOverride): Model<Api> {\\n\\tconst result = { ...model };\\n\\n\\t// Simple field overrides\\n\\tif (override.name !== undefined) result.name = override.name;\\n\\tif (override.reasoning !== undefined) result.reasoning = override.reasoning;\\n\\tif (override.thinkingLevelMap !== undefined) {\\n\\t\\tresult.thinkingLevelMap = { ...model.thinkingLevelMap, ...override.thinkingLevelMap };\\n\\t}\\n\\tif (override.input !== undefined) result.input = override.input as (\\\"text\\\" | \\\"image\\\")[];\\n\\tif (override.contextWindow !== undefined) result.contextWindow = override.contextWindow;\\n\\tif (override.maxTokens !== undefined) result.maxTokens = override.maxTokens;\\n\\n\\t// Merge cost (partial override)\\n\\tif (override.cost) {\\n\\t\\tresult.cost = {\\n\\t\\t\\tinput: override.cost.input ?? model.cost.input,\\n\\t\\t\\toutput: override.cost.output ?? model.cost.output,\\n\\t\\t\\tcacheRead: override.cost.cacheRead ?? model.cost.cacheRead,\\n\\t\\t\\tcacheWrite: override.cost.cacheWrite ?? model.cost.cacheWrite,\\n\\t\\t};\\n\\t}\\n\\n\\t// Deep merge compat\\n\\tresult.compat = mergeCompat(model.compat, override.compat);\\n\\n\\treturn result;\\n}\\n\\n/** Clear the config value command cache. Exported for testing. */\\nexport const clearApiKeyCache = clearConfigValueCache;\\n\\n/**\\n * Model registry - loads and manages models, resolves API keys via AuthStorage.\\n */\\nexport class ModelRegistry {\\n\\tprivate models: Model<Api>[] = [];\\n\\tprivate providerRequestConfigs: Map<string, ProviderRequestConfig> = new Map();\\n\\tprivate modelRequestHeaders: Map<string, Record<string, string>> = new Map();\\n\\tprivate registeredProviders: Map<string, ProviderConfigInput> = new Map();\\n\\tprivate loadError: string | undefined = undefined;\\n\\n\\tprivate constructor(\\n\\t\\treadonly authStorage: AuthStorage,\\n\\t\\tprivate modelsJsonPath: string | undefined,\\n\\t) {\\n\\t\\tthis.loadModels();\\n\\t}\\n\\n\\tstatic create(authStorage: AuthStorage, modelsJsonPath: string = join(getAgentDir(), \\\"models.json\\\")): ModelRegistry {\\n\\t\\treturn new ModelRegistry(authStorage, modelsJsonPath);\\n\\t}\\n\\n\\tstatic inMemory(authStorage: AuthStorage): ModelRegistry {\\n\\t\\treturn new ModelRegistry(authStorage, undefined);\\n\\t}\\n\\n\\t/**\\n\\t * Reload models from disk (built-in + custom from models.json).\\n\\t */\\n\\trefresh(): void {\\n\\t\\tthis.providerRequestConfigs.clear();\\n\\t\\tthis.modelRequestHeaders.clear();\\n\\t\\tthis.loadError = undefined;\\n\\n\\t\\t// Ensure dynamic API/OAuth registrations are rebuilt from current provider state.\\n\\t\\tresetApiProviders();\\n\\t\\tresetOAuthProviders();\\n\\n\\t\\tthis.loadModels();\\n\\n\\t\\tfor (const [providerName, config] of this.registeredProviders.entries()) {\\n\\t\\t\\tthis.applyProviderConfig(providerName, config);\\n\\t\\t}\\n\\t}\\n\\n\\t/**\\n\\t * Get any error from loading models.json (undefined if no error).\\n\\t */\\n\\tgetError(): string | undefined {\\n\\t\\treturn this.loadError;\\n\\t}\\n\\n\\tprivate loadModels(): void {\\n\\t\\t// Load custom models and overrides from models.json\\n\\t\\tconst {\\n\\t\\t\\tmodels: customModels,\\n\\t\\t\\toverrides,\\n\\t\\t\\tmodelOverrides,\\n\\t\\t\\terror,\\n\\t\\t} = this.modelsJsonPath ? this.loadCustomModels(this.modelsJsonPath) : emptyCustomModelsResult();\\n\\n\\t\\tif (error) {\\n\\t\\t\\tthis.loadError = error;\\n\\t\\t\\t// Keep built-in models even if custom models failed to load\\n\\t\\t}\\n\\n\\t\\tconst builtInModels = this.loadBuiltInModels(overrides, modelOverrides);\\n\\t\\tlet combined = this.mergeCustomModels(builtInModels, customModels);\\n\\n\\t\\t// Let OAuth providers modify their models (e.g., update baseUrl)\\n\\t\\tfor (const oauthProvider of this.authStorage.getOAuthProviders()) {\\n\\t\\t\\tconst cred = this.authStorage.get(oauthProvider.id);\\n\\t\\t\\tif (cred?.type === \\\"oauth\\\" && oauthProvider.modifyModels) {\\n\\t\\t\\t\\tcombined = oauthProvider.modifyModels(combined, cred);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tthis.models = combined;\\n\\t}\\n\\n\\t/** Load built-in models and apply provider/model overrides */\\n\\tprivate loadBuiltInModels(\\n\\t\\toverrides: Map<string, ProviderOverride>,\\n\\t\\tmodelOverrides: Map<string, Map<string, ModelOverride>>,\\n\\t): Model<Api>[] {\\n\\t\\treturn getProviders().flatMap((provider) => {\\n\\t\\t\\tconst models = getModels(provider as KnownProvider) as Model<Api>[];\\n\\t\\t\\tconst providerOverride = overrides.get(provider);\\n\\t\\t\\tconst perModelOverrides = modelOverrides.get(provider);\\n\\n\\t\\t\\treturn models.map((m) => {\\n\\t\\t\\t\\tlet model = m;\\n\\n\\t\\t\\t\\t// Apply provider-level baseUrl/headers/compat override\\n\\t\\t\\t\\tif (providerOverride) {\\n\\t\\t\\t\\t\\tmodel = {\\n\\t\\t\\t\\t\\t\\t...model,\\n\\t\\t\\t\\t\\t\\tbaseUrl: providerOverride.baseUrl ?? model.baseUrl,\\n\\t\\t\\t\\t\\t\\tcompat: mergeCompat(model.compat, providerOverride.compat),\\n\\t\\t\\t\\t\\t};\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// Apply per-model override\\n\\t\\t\\t\\tconst modelOverride = perModelOverrides?.get(m.id);\\n\\t\\t\\t\\tif (modelOverride) {\\n\\t\\t\\t\\t\\tmodel = applyModelOverride(model, modelOverride);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\treturn model;\\n\\t\\t\\t});\\n\\t\\t});\\n\\t}\\n\\n\\t/** Merge custom models into built-in list by provider+id (custom wins on conflicts). */\\n\\tprivate mergeCustomModels(builtInModels: Model<Api>[], customModels: Model<Api>[]): Model<Api>[] {\\n\\t\\tconst merged = [...builtInModels];\\n\\t\\tfor (const customModel of customModels) {\\n\\t\\t\\tconst existingIndex = merged.findIndex((m) => m.provider === customModel.provider && m.id === customModel.id);\\n\\t\\t\\tif (existingIndex >= 0) {\\n\\t\\t\\t\\tmerged[existingIndex] = customModel;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tmerged.push(customModel);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn merged;\\n\\t}\\n\\n\\tprivate loadCustomModels(modelsJsonPath: string): CustomModelsResult {\\n\\t\\tif (!existsSync(modelsJsonPath)) {\\n\\t\\t\\treturn emptyCustomModelsResult();\\n\\t\\t}\\n\\n\\t\\ttry {\\n\\t\\t\\tconst content = readFileSync(modelsJsonPath, \\\"utf-8\\\");\\n\\t\\t\\tconst parsed = JSON.parse(stripJsonComments(content)) as unknown;\\n\\n\\t\\t\\tif (!validateModelsConfig.Check(parsed)) {\\n\\t\\t\\t\\tconst errors =\\n\\t\\t\\t\\t\\tvalidateModelsConfig\\n\\t\\t\\t\\t\\t\\t.Errors(parsed)\\n\\t\\t\\t\\t\\t\\t.map((error) => `  - ${formatValidationPath(error)}: ${error.message}`)\\n\\t\\t\\t\\t\\t\\t.join(\\\"\\\\n\\\") || \\\"Unknown schema error\\\";\\n\\t\\t\\t\\treturn emptyCustomModelsResult(`Invalid models.json schema:\\\\n${errors}\\\\n\\\\nFile: ${modelsJsonPath}`);\\n\\t\\t\\t}\\n\\n\\t\\t\\tconst config = parsed as ModelsConfig;\\n\\n\\t\\t\\t// Additional validation\\n\\t\\t\\tthis.validateConfig(config);\\n\\n\\t\\t\\tconst overrides = new Map<string, ProviderOverride>();\\n\\t\\t\\tconst modelOverrides = new Map<string, Map<string, ModelOverride>>();\\n\\n\\t\\t\\tfor (const [providerName, providerConfig] of Object.entries(config.providers)) {\\n\\t\\t\\t\\tif (providerConfig.baseUrl || providerConfig.compat) {\\n\\t\\t\\t\\t\\toverrides.set(providerName, {\\n\\t\\t\\t\\t\\t\\tbaseUrl: providerConfig.baseUrl,\\n\\t\\t\\t\\t\\t\\tcompat: providerConfig.compat,\\n\\t\\t\\t\\t\\t});\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tthis.storeProviderRequestConfig(providerName, providerConfig);\\n\\n\\t\\t\\t\\tif (providerConfig.modelOverrides) {\\n\\t\\t\\t\\t\\tmodelOverrides.set(providerName, new Map(Object.entries(providerConfig.modelOverrides)));\\n\\t\\t\\t\\t\\tfor (const [modelId, modelOverride] of Object.entries(providerConfig.modelOverrides)) {\\n\\t\\t\\t\\t\\t\\tthis.storeModelHeaders(providerName, modelId, modelOverride.headers);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\treturn { models: this.parseModels(config), overrides, modelOverrides, error: undefined };\\n\\t\\t} catch (error) {\\n\\t\\t\\tif (error instanceof SyntaxError) {\\n\\t\\t\\t\\treturn emptyCustomModelsResult(`Failed to parse models.json: ${error.message}\\\\n\\\\nFile: ${modelsJsonPath}`);\\n\\t\\t\\t}\\n\\t\\t\\treturn emptyCustomModelsResult(\\n\\t\\t\\t\\t`Failed to load models.json: ${error instanceof Error ? error.message : error}\\\\n\\\\nFile: ${modelsJsonPath}`,\\n\\t\\t\\t);\\n\\t\\t}\\n\\t}\\n\\n\\tprivate validateConfig(config: ModelsConfig): void {\\n\\t\\tconst builtInProviders = new Set<string>(getProviders());\\n\\n\\t\\tfor (const [providerName, providerConfig] of Object.entries(config.providers)) {\\n\\t\\t\\tconst isBuiltIn = builtInProviders.has(providerName);\\n\\t\\t\\tconst hasProviderApi = !!providerConfig.api;\\n\\t\\t\\tconst models = providerConfig.models ?? [];\\n\\t\\t\\tconst hasModelOverrides =\\n\\t\\t\\t\\tproviderConfig.modelOverrides && Object.keys(providerConfig.modelOverrides).length > 0;\\n\\n\\t\\t\\tif (models.length === 0) {\\n\\t\\t\\t\\t// Override-only config: needs baseUrl, headers, compat, modelOverrides, or some combination.\\n\\t\\t\\t\\tif (!providerConfig.baseUrl && !providerConfig.headers && !providerConfig.compat && !hasModelOverrides) {\\n\\t\\t\\t\\t\\tthrow new Error(\\n\\t\\t\\t\\t\\t\\t`Provider ${providerName}: must specify \\\"baseUrl\\\", \\\"headers\\\", \\\"compat\\\", \\\"modelOverrides\\\", or \\\"models\\\".`,\\n\\t\\t\\t\\t\\t);\\n\\t\\t\\t\\t}\\n\\t\\t\\t} else if (!isBuiltIn) {\\n\\t\\t\\t\\t// Non-built-in providers with custom models require endpoint + auth.\\n\\t\\t\\t\\tif (!providerConfig.baseUrl) {\\n\\t\\t\\t\\t\\tthrow new Error(`Provider ${providerName}: \\\"baseUrl\\\" is required when defining custom models.`);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tif (!providerConfig.apiKey) {\\n\\t\\t\\t\\t\\tthrow new Error(`Provider ${providerName}: \\\"apiKey\\\" is required when defining custom models.`);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t// Built-in providers with custom models: baseUrl/apiKey/api are optional,\\n\\t\\t\\t// inherited from built-in models. Auth comes from env vars / auth storage.\\n\\n\\t\\t\\tfor (const modelDef of models) {\\n\\t\\t\\t\\tconst hasModelApi = !!modelDef.api;\\n\\n\\t\\t\\t\\tif (!hasProviderApi && !hasModelApi && !isBuiltIn) {\\n\\t\\t\\t\\t\\tthrow new Error(\\n\\t\\t\\t\\t\\t\\t`Provider ${providerName}, model ${modelDef.id}: no \\\"api\\\" specified. Set at provider or model level.`,\\n\\t\\t\\t\\t\\t);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t// For built-in providers, api is optional — inherited from built-in models.\\n\\n\\t\\t\\t\\tif (!modelDef.id) throw new Error(`Provider ${providerName}: model missing \\\"id\\\"`);\\n\\t\\t\\t\\t// Validate contextWindow/maxTokens only if provided (they have defaults)\\n\\t\\t\\t\\tif (modelDef.contextWindow !== undefined && modelDef.contextWindow <= 0)\\n\\t\\t\\t\\t\\tthrow new Error(`Provider ${providerName}, model ${modelDef.id}: invalid contextWindow`);\\n\\t\\t\\t\\tif (modelDef.maxTokens !== undefined && modelDef.maxTokens <= 0)\\n\\t\\t\\t\\t\\tthrow new Error(`Provider ${providerName}, model ${modelDef.id}: invalid maxTokens`);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tprivate parseModels(config: ModelsConfig): Model<Api>[] {\\n\\t\\tconst models: Model<Api>[] = [];\\n\\t\\tconst builtInProviders = new Set<string>(getProviders());\\n\\n\\t\\t// Cache built-in defaults (api, baseUrl) per provider, extracted from first model.\\n\\t\\tconst builtInDefaultsCache = new Map<string, { api: string; baseUrl: string }>();\\n\\t\\tconst getBuiltInDefaults = (providerName: string): { api: string; baseUrl: string } | undefined => {\\n\\t\\t\\tif (!builtInProviders.has(providerName)) return undefined;\\n\\t\\t\\tif (builtInDefaultsCache.has(providerName)) return builtInDefaultsCache.get(providerName);\\n\\t\\t\\tconst builtIn = getModels(providerName as KnownProvider) as Model<Api>[];\\n\\t\\t\\tif (builtIn.length === 0) return undefined;\\n\\t\\t\\tconst defaults = { api: builtIn[0].api, baseUrl: builtIn[0].baseUrl };\\n\\t\\t\\tbuiltInDefaultsCache.set(providerName, defaults);\\n\\t\\t\\treturn defaults;\\n\\t\\t};\\n\\n\\t\\tfor (const [providerName, providerConfig] of Object.entries(config.providers)) {\\n\\t\\t\\tconst modelDefs = providerConfig.models ?? [];\\n\\t\\t\\tif (modelDefs.length === 0) continue; // Override-only, no custom models\\n\\n\\t\\t\\tconst builtInDefaults = getBuiltInDefaults(providerName);\\n\\n\\t\\t\\tfor (const modelDef of modelDefs) {\\n\\t\\t\\t\\tconst api = modelDef.api ?? providerConfig.api ?? builtInDefaults?.api;\\n\\t\\t\\t\\tif (!api) continue;\\n\\n\\t\\t\\t\\tconst baseUrl = modelDef.baseUrl ?? providerConfig.baseUrl ?? builtInDefaults?.baseUrl;\\n\\t\\t\\t\\tif (!baseUrl) continue;\\n\\n\\t\\t\\t\\tconst compat = mergeCompat(providerConfig.compat, modelDef.compat);\\n\\t\\t\\t\\tthis.storeModelHeaders(providerName, modelDef.id, modelDef.headers);\\n\\n\\t\\t\\t\\tconst defaultCost = { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 };\\n\\t\\t\\t\\tmodels.push({\\n\\t\\t\\t\\t\\tid: modelDef.id,\\n\\t\\t\\t\\t\\tname: modelDef.name ?? modelDef.id,\\n\\t\\t\\t\\t\\tapi: api as Api,\\n\\t\\t\\t\\t\\tprovider: providerName,\\n\\t\\t\\t\\t\\tbaseUrl,\\n\\t\\t\\t\\t\\treasoning: modelDef.reasoning ?? false,\\n\\t\\t\\t\\t\\tthinkingLevelMap: modelDef.thinkingLevelMap,\\n\\t\\t\\t\\t\\tinput: (modelDef.input ?? [\\\"text\\\"]) as (\\\"text\\\" | \\\"image\\\")[],\\n\\t\\t\\t\\t\\tcost: modelDef.cost ?? defaultCost,\\n\\t\\t\\t\\t\\tcontextWindow: modelDef.contextWindow ?? 128000,\\n\\t\\t\\t\\t\\tmaxTokens: modelDef.maxTokens ?? 16384,\\n\\t\\t\\t\\t\\theaders: undefined,\\n\\t\\t\\t\\t\\tcompat,\\n\\t\\t\\t\\t} as Model<Api>);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn models;\\n\\t}\\n\\n\\t/**\\n\\t * Get all models (built-in + custom).\\n\\t * If models.json had errors, returns only built-in models.\\n\\t */\\n\\tgetAll(): Model<Api>[] {\\n\\t\\treturn this.models;\\n\\t}\\n\\n\\t/**\\n\\t * Get only models that have auth configured.\\n\\t * This is a fast check that doesn't refresh OAuth tokens.\\n\\t */\\n\\tgetAvailable(): Model<Api>[] {\\n\\t\\treturn this.models.filter((m) => this.hasConfiguredAuth(m));\\n\\t}\\n\\n\\t/**\\n\\t * Find a model by provider and ID.\\n\\t */\\n\\tfind(provider: string, modelId: string): Model<Api> | undefined {\\n\\t\\treturn this.models.find((m) => m.provider === provider && m.id === modelId);\\n\\t}\\n\\n\\t/**\\n\\t * Get API key for a model.\\n\\t */\\n\\thasConfiguredAuth(model: Model<Api>): boolean {\\n\\t\\treturn (\\n\\t\\t\\tthis.authStorage.hasAuth(model.provider) ||\\n\\t\\t\\tthis.providerRequestConfigs.get(model.provider)?.apiKey !== undefined\\n\\t\\t);\\n\\t}\\n\\n\\tprivate getModelRequestKey(provider: string, modelId: string): string {\\n\\t\\treturn `${provider}:${modelId}`;\\n\\t}\\n\\n\\tprivate storeProviderRequestConfig(\\n\\t\\tproviderName: string,\\n\\t\\tconfig: {\\n\\t\\t\\tapiKey?: string;\\n\\t\\t\\theaders?: Record<string, string>;\\n\\t\\t\\tauthHeader?: boolean;\\n\\t\\t},\\n\\t): void {\\n\\t\\tif (!config.apiKey && !config.headers && !config.authHeader) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\n\\t\\tthis.providerRequestConfigs.set(providerName, {\\n\\t\\t\\tapiKey: config.apiKey,\\n\\t\\t\\theaders: config.headers,\\n\\t\\t\\tauthHeader: config.authHeader,\\n\\t\\t});\\n\\t}\\n\\n\\tprivate storeModelHeaders(providerName: string, modelId: string, headers?: Record<string, string>): void {\\n\\t\\tconst key = this.getModelRequestKey(providerName, modelId);\\n\\t\\tif (!headers || Object.keys(headers).length === 0) {\\n\\t\\t\\tthis.modelRequestHeaders.delete(key);\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tthis.modelRequestHeaders.set(key, headers);\\n\\t}\\n\\n\\t/**\\n\\t * Get API key and request headers for a model.\\n\\t */\\n\\tasync getApiKeyAndHeaders(model: Model<Api>): Promise<ResolvedRequestAuth> {\\n\\t\\ttry {\\n\\t\\t\\tconst providerConfig = this.providerRequestConfigs.get(model.provider);\\n\\t\\t\\tconst apiKeyFromAuthStorage = await this.authStorage.getApiKey(model.provider, { includeFallback: false });\\n\\t\\t\\tconst apiKey =\\n\\t\\t\\t\\tapiKeyFromAuthStorage ??\\n\\t\\t\\t\\t(providerConfig?.apiKey\\n\\t\\t\\t\\t\\t? resolveConfigValueOrThrow(providerConfig.apiKey, `API key for provider \\\"${model.provider}\\\"`)\\n\\t\\t\\t\\t\\t: undefined);\\n\\n\\t\\t\\tconst providerHeaders = resolveHeadersOrThrow(providerConfig?.headers, `provider \\\"${model.provider}\\\"`);\\n\\t\\t\\tconst modelHeaders = resolveHeadersOrThrow(\\n\\t\\t\\t\\tthis.modelRequestHeaders.get(this.getModelRequestKey(model.provider, model.id)),\\n\\t\\t\\t\\t`model \\\"${model.provider}/${model.id}\\\"`,\\n\\t\\t\\t);\\n\\n\\t\\t\\tlet headers =\\n\\t\\t\\t\\tmodel.headers || providerHeaders || modelHeaders\\n\\t\\t\\t\\t\\t? { ...model.headers, ...providerHeaders, ...modelHeaders }\\n\\t\\t\\t\\t\\t: undefined;\\n\\n\\t\\t\\tif (providerConfig?.authHeader) {\\n\\t\\t\\t\\tif (!apiKey) {\\n\\t\\t\\t\\t\\treturn { ok: false, error: `No API key found for \\\"${model.provider}\\\"` };\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\theaders = { ...headers, Authorization: `Bearer ${apiKey}` };\\n\\t\\t\\t}\\n\\n\\t\\t\\treturn {\\n\\t\\t\\t\\tok: true,\\n\\t\\t\\t\\tapiKey,\\n\\t\\t\\t\\theaders: headers && Object.keys(headers).length > 0 ? headers : undefined,\\n\\t\\t\\t};\\n\\t\\t} catch (error) {\\n\\t\\t\\treturn {\\n\\t\\t\\t\\tok: false,\\n\\t\\t\\t\\terror: error instanceof Error ? error.message : String(error),\\n\\t\\t\\t};\\n\\t\\t}\\n\\t}\\n\\n\\t/**\\n\\t * Return auth status for a provider, including request auth configured in models.json.\\n\\t * This intentionally does not execute command-backed config values.\\n\\t */\\n\\tgetProviderAuthStatus(provider: string): AuthStatus {\\n\\t\\tconst authStatus = this.authStorage.getAuthStatus(provider);\\n\\t\\tif (authStatus.source) {\\n\\t\\t\\treturn authStatus;\\n\\t\\t}\\n\\n\\t\\tconst providerApiKey = this.providerRequestConfigs.get(provider)?.apiKey;\\n\\t\\tif (!providerApiKey) {\\n\\t\\t\\treturn authStatus;\\n\\t\\t}\\n\\n\\t\\tif (providerApiKey.startsWith(\\\"!\\\")) {\\n\\t\\t\\treturn { configured: true, source: \\\"models_json_command\\\" };\\n\\t\\t}\\n\\n\\t\\tif (process.env[providerApiKey]) {\\n\\t\\t\\treturn { configured: true, source: \\\"environment\\\", label: providerApiKey };\\n\\t\\t}\\n\\n\\t\\treturn { configured: true, source: \\\"models_json_key\\\" };\\n\\t}\\n\\n\\t/**\\n\\t * Get display name for a provider.\\n\\t */\\n\\tgetProviderDisplayName(provider: string): string {\\n\\t\\tconst registeredProvider = this.registeredProviders.get(provider);\\n\\t\\tconst oauthProvider = this.authStorage.getOAuthProviders().find((p) => p.id === provider);\\n\\n\\t\\treturn (\\n\\t\\t\\tregisteredProvider?.name ??\\n\\t\\t\\tregisteredProvider?.oauth?.name ??\\n\\t\\t\\toauthProvider?.name ??\\n\\t\\t\\tBUILT_IN_PROVIDER_DISPLAY_NAMES[provider] ??\\n\\t\\t\\tprovider\\n\\t\\t);\\n\\t}\\n\\n\\t/**\\n\\t * Get API key for a provider.\\n\\t */\\n\\tasync getApiKeyForProvider(provider: string): Promise<string | undefined> {\\n\\t\\tconst apiKey = await this.authStorage.getApiKey(provider, { includeFallback: false });\\n\\t\\tif (apiKey !== undefined) {\\n\\t\\t\\treturn apiKey;\\n\\t\\t}\\n\\n\\t\\tconst providerApiKey = this.providerRequestConfigs.get(provider)?.apiKey;\\n\\t\\treturn providerApiKey ? resolveConfigValueUncached(providerApiKey) : undefined;\\n\\t}\\n\\n\\t/**\\n\\t * Check if a model is using OAuth credentials (subscription).\\n\\t */\\n\\tisUsingOAuth(model: Model<Api>): boolean {\\n\\t\\tconst cred = this.authStorage.get(model.provider);\\n\\t\\treturn cred?.type === \\\"oauth\\\";\\n\\t}\\n\\n\\t/**\\n\\t * Register a provider dynamically (from extensions).\\n\\t *\\n\\t * If provider has models: replaces all existing models for this provider.\\n\\t * If provider has only baseUrl/headers: overrides existing models' URLs.\\n\\t * If provider has oauth: registers OAuth provider for /login support.\\n\\t */\\n\\tregisterProvider(providerName: string, config: ProviderConfigInput): void {\\n\\t\\tthis.validateProviderConfig(providerName, config);\\n\\t\\tthis.applyProviderConfig(providerName, config);\\n\\t\\tthis.upsertRegisteredProvider(providerName, config);\\n\\t}\\n\\n\\t/**\\n\\t * Unregister a previously registered provider.\\n\\t *\\n\\t * Removes the provider from the registry and reloads models from disk so that\\n\\t * built-in models overridden by this provider are restored to their original state.\\n\\t * Also resets dynamic OAuth and API stream registrations before reapplying\\n\\t * remaining dynamic providers.\\n\\t * Has no effect if the provider was never registered.\\n\\t */\\n\\tunregisterProvider(providerName: string): void {\\n\\t\\tif (!this.registeredProviders.has(providerName)) return;\\n\\t\\tthis.registeredProviders.delete(providerName);\\n\\t\\tthis.refresh();\\n\\t}\\n\\n\\t/**\\n\\t * Upsert a provider config into registeredProviders.\\n\\t * If the provider is already registered, defined values in the incoming config\\n\\t * override existing ones; undefined values are preserved from the stored config.\\n\\t * If the provider is not registered, the incoming config is stored as-is.\\n\\t */\\n\\tprivate upsertRegisteredProvider(providerName: string, config: ProviderConfigInput): void {\\n\\t\\tconst existing = this.registeredProviders.get(providerName);\\n\\t\\tif (!existing) {\\n\\t\\t\\tthis.registeredProviders.set(providerName, config);\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tfor (const k of Object.keys(config) as (keyof ProviderConfigInput)[]) {\\n\\t\\t\\tif (config[k] !== undefined) {\\n\\t\\t\\t\\t(existing as Record<string, unknown>)[k] = config[k];\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tprivate validateProviderConfig(providerName: string, config: ProviderConfigInput): void {\\n\\t\\tif (config.streamSimple && !config.api) {\\n\\t\\t\\tthrow new Error(`Provider ${providerName}: \\\"api\\\" is required when registering streamSimple.`);\\n\\t\\t}\\n\\n\\t\\tif (!config.models || config.models.length === 0) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\n\\t\\tif (!config.baseUrl) {\\n\\t\\t\\tthrow new Error(`Provider ${providerName}: \\\"baseUrl\\\" is required when defining models.`);\\n\\t\\t}\\n\\t\\tif (!config.apiKey && !config.oauth) {\\n\\t\\t\\tthrow new Error(`Provider ${providerName}: \\\"apiKey\\\" or \\\"oauth\\\" is required when defining models.`);\\n\\t\\t}\\n\\n\\t\\tfor (const modelDef of config.models) {\\n\\t\\t\\tconst api = modelDef.api || config.api;\\n\\t\\t\\tif (!api) {\\n\\t\\t\\t\\tthrow new Error(`Provider ${providerName}, model ${modelDef.id}: no \\\"api\\\" specified.`);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tprivate applyProviderConfig(providerName: string, config: ProviderConfigInput): void {\\n\\t\\t// Register OAuth provider if provided\\n\\t\\tif (config.oauth) {\\n\\t\\t\\t// Ensure the OAuth provider ID matches the provider name\\n\\t\\t\\tconst oauthProvider: OAuthProviderInterface = {\\n\\t\\t\\t\\t...config.oauth,\\n\\t\\t\\t\\tid: providerName,\\n\\t\\t\\t};\\n\\t\\t\\tregisterOAuthProvider(oauthProvider);\\n\\t\\t}\\n\\n\\t\\tif (config.streamSimple) {\\n\\t\\t\\tconst streamSimple = config.streamSimple;\\n\\t\\t\\tregisterApiProvider(\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tapi: config.api!,\\n\\t\\t\\t\\t\\tstream: (model, context, options) => streamSimple(model, context, options as SimpleStreamOptions),\\n\\t\\t\\t\\t\\tstreamSimple,\\n\\t\\t\\t\\t},\\n\\t\\t\\t\\t`provider:${providerName}`,\\n\\t\\t\\t);\\n\\t\\t}\\n\\n\\t\\tthis.storeProviderRequestConfig(providerName, config);\\n\\n\\t\\tif (config.models && config.models.length > 0) {\\n\\t\\t\\t// Full replacement: remove existing models for this provider\\n\\t\\t\\tthis.models = this.models.filter((m) => m.provider !== providerName);\\n\\n\\t\\t\\t// Parse and add new models\\n\\t\\t\\tfor (const modelDef of config.models) {\\n\\t\\t\\t\\tconst api = modelDef.api || config.api;\\n\\t\\t\\t\\tthis.storeModelHeaders(providerName, modelDef.id, modelDef.headers);\\n\\n\\t\\t\\t\\tthis.models.push({\\n\\t\\t\\t\\t\\tid: modelDef.id,\\n\\t\\t\\t\\t\\tname: modelDef.name,\\n\\t\\t\\t\\t\\tapi: api as Api,\\n\\t\\t\\t\\t\\tprovider: providerName,\\n\\t\\t\\t\\t\\tbaseUrl: modelDef.baseUrl ?? config.baseUrl!,\\n\\t\\t\\t\\t\\treasoning: modelDef.reasoning,\\n\\t\\t\\t\\t\\tthinkingLevelMap: modelDef.thinkingLevelMap,\\n\\t\\t\\t\\t\\tinput: modelDef.input as (\\\"text\\\" | \\\"image\\\")[],\\n\\t\\t\\t\\t\\tcost: modelDef.cost,\\n\\t\\t\\t\\t\\tcontextWindow: modelDef.contextWindow,\\n\\t\\t\\t\\t\\tmaxTokens: modelDef.maxTokens,\\n\\t\\t\\t\\t\\theaders: undefined,\\n\\t\\t\\t\\t\\tcompat: modelDef.compat,\\n\\t\\t\\t\\t} as Model<Api>);\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Apply OAuth modifyModels if credentials exist (e.g., to update baseUrl)\\n\\t\\t\\tif (config.oauth?.modifyModels) {\\n\\t\\t\\t\\tconst cred = this.authStorage.get(providerName);\\n\\t\\t\\t\\tif (cred?.type === \\\"oauth\\\") {\\n\\t\\t\\t\\t\\tthis.models = config.oauth.modifyModels(this.models, cred);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t} else if (config.baseUrl || config.headers) {\\n\\t\\t\\t// Override-only: update baseUrl for existing models. Request headers are resolved per request.\\n\\t\\t\\tthis.models = this.models.map((m) => {\\n\\t\\t\\t\\tif (m.provider !== providerName) return m;\\n\\t\\t\\t\\treturn {\\n\\t\\t\\t\\t\\t...m,\\n\\t\\t\\t\\t\\tbaseUrl: config.baseUrl ?? m.baseUrl,\\n\\t\\t\\t\\t};\\n\\t\\t\\t});\\n\\t\\t}\\n\\t}\\n}\\n\\n/**\\n * Input type for registerProvider API.\\n */\\nexport interface ProviderConfigInput {\\n\\tname?: string;\\n\\tbaseUrl?: string;\\n\\tapiKey?: string;\\n\\tapi?: Api;\\n\\tstreamSimple?: (model: Model<Api>, context: Context, options?: SimpleStreamOptions) => AssistantMessageEventStream;\\n\\theaders?: Record<string, string>;\\n\\tauthHeader?: boolean;\\n\\t/** OAuth provider for /login support */\\n\\toauth?: Omit<OAuthProviderInterface, \\\"id\\\">;\\n\\tmodels?: Array<{\\n\\t\\tid: string;\\n\\t\\tname: string;\\n\\t\\tapi?: Api;\\n\\t\\tbaseUrl?: string;\\n\\t\\treasoning: boolean;\\n\\t\\tthinkingLevelMap?: Model<Api>[\\\"thinkingLevelMap\\\"];\\n\\t\\tinput: (\\\"text\\\" | \\\"image\\\")[];\\n\\t\\tcost: { input: number; output: number; cacheRead: number; cacheWrite: number };\\n\\t\\tcontextWindow: number;\\n\\t\\tmaxTokens: number;\\n\\t\\theaders?: Record<string, string>;\\n\\t\\tcompat?: Model<Api>[\\\"compat\\\"];\\n\\t}>;\\n}\\n\"]}\npackage/dist/core/model-registry.js:75:        Type.Literal(\"deepseek\"),\npackage/dist/core/model-resolver.js:16:    deepseek: \"deepseek-v4-pro\",\npackage/dist/core/provider-display-names.js:8:    deepseek: \"DeepSeek\",\n\n\n[Showing lines 16-22 of 22 (50.0KB limit). Full output: /tmp/pi-bash-788766e4d7bbaec6.log]"}],"details":{"truncation":{"content":"package/dist/core/provider-display-names.d.ts.map:1:{\"version\":3,\"file\":\"provider-display-names.d.ts\",\"sourceRoot\":\"\",\"sources\":[\"../../src/core/provider-display-names.ts\"],\"names\":[],\"mappings\":\"AAAA,eAAO,MAAM,+BAA+B,EAAE,MAAM,CAAC,MAAM,EAAE,MAAM,CA8BlE,CAAC\",\"sourcesContent\":[\"export const BUILT_IN_PROVIDER_DISPLAY_NAMES: Record<string, string> = {\\n\\tanthropic: \\\"Anthropic\\\",\\n\\t\\\"amazon-bedrock\\\": \\\"Amazon Bedrock\\\",\\n\\t\\\"azure-openai-responses\\\": \\\"Azure OpenAI Responses\\\",\\n\\tcerebras: \\\"Cerebras\\\",\\n\\t\\\"cloudflare-ai-gateway\\\": \\\"Cloudflare AI Gateway\\\",\\n\\t\\\"cloudflare-workers-ai\\\": \\\"Cloudflare Workers AI\\\",\\n\\tdeepseek: \\\"DeepSeek\\\",\\n\\tfireworks: \\\"Fireworks\\\",\\n\\tgoogle: \\\"Google Gemini\\\",\\n\\t\\\"google-vertex\\\": \\\"Google Vertex AI\\\",\\n\\tgroq: \\\"Groq\\\",\\n\\thuggingface: \\\"Hugging Face\\\",\\n\\t\\\"kimi-coding\\\": \\\"Kimi For Coding\\\",\\n\\tmistral: \\\"Mistral\\\",\\n\\tminimax: \\\"MiniMax\\\",\\n\\t\\\"minimax-cn\\\": \\\"MiniMax (China)\\\",\\n\\tmoonshotai: \\\"Moonshot AI\\\",\\n\\t\\\"moonshotai-cn\\\": \\\"Moonshot AI (China)\\\",\\n\\topencode: \\\"OpenCode Zen\\\",\\n\\t\\\"opencode-go\\\": \\\"OpenCode Go\\\",\\n\\topenai: \\\"OpenAI\\\",\\n\\topenrouter: \\\"OpenRouter\\\",\\n\\t\\\"vercel-ai-gateway\\\": \\\"Vercel AI Gateway\\\",\\n\\txai: \\\"xAI\\\",\\n\\tzai: \\\"ZAI\\\",\\n\\txiaomi: \\\"Xiaomi MiMo\\\",\\n\\t\\\"xiaomi-token-plan-cn\\\": \\\"Xiaomi MiMo Token Plan (China)\\\",\\n\\t\\\"xiaomi-token-plan-ams\\\": \\\"Xiaomi MiMo Token Plan (Amsterdam)\\\",\\n\\t\\\"xiaomi-token-plan-sgp\\\": \\\"Xiaomi MiMo Token Plan (Singapore)\\\",\\n};\\n\"]}\npackage/dist/core/provider-display-names.js.map:1:{\"version\":3,\"file\":\"provider-display-names.js\",\"sourceRoot\":\"\",\"sources\":[\"../../src/core/provider-display-names.ts\"],\"names\":[],\"mappings\":\"AAAA,MAAM,CAAC,MAAM,+BAA+B,GAA2B;IACtE,SAAS,EAAE,WAAW;IACtB,gBAAgB,EAAE,gBAAgB;IAClC,wBAAwB,EAAE,wBAAwB;IAClD,QAAQ,EAAE,UAAU;IACpB,uBAAuB,EAAE,uBAAuB;IAChD,uBAAuB,EAAE,uBAAuB;IAChD,QAAQ,EAAE,UAAU;IACpB,SAAS,EAAE,WAAW;IACtB,MAAM,EAAE,eAAe;IACvB,eAAe,EAAE,kBAAkB;IACnC,IAAI,EAAE,MAAM;IACZ,WAAW,EAAE,cAAc;IAC3B,aAAa,EAAE,iBAAiB;IAChC,OAAO,EAAE,SAAS;IAClB,OAAO,EAAE,SAAS;IAClB,YAAY,EAAE,iBAAiB;IAC/B,UAAU,EAAE,aAAa;IACzB,eAAe,EAAE,qBAAqB;IACtC,QAAQ,EAAE,cAAc;IACxB,aAAa,EAAE,aAAa;IAC5B,MAAM,EAAE,QAAQ;IAChB,UAAU,EAAE,YAAY;IACxB,mBAAmB,EAAE,mBAAmB;IACxC,GAAG,EAAE,KAAK;IACV,GAAG,EAAE,KAAK;IACV,MAAM,EAAE,aAAa;IACrB,sBAAsB,EAAE,gCAAgC;IACxD,uBAAuB,EAAE,oCAAoC;IAC7D,uBAAuB,EAAE,oCAAoC;CAC7D,CAAC\",\"sourcesContent\":[\"export const BUILT_IN_PROVIDER_DISPLAY_NAMES: Record<string, string> = {\\n\\tanthropic: \\\"Anthropic\\\",\\n\\t\\\"amazon-bedrock\\\": \\\"Amazon Bedrock\\\",\\n\\t\\\"azure-openai-responses\\\": \\\"Azure OpenAI Responses\\\",\\n\\tcerebras: \\\"Cerebras\\\",\\n\\t\\\"cloudflare-ai-gateway\\\": \\\"Cloudflare AI Gateway\\\",\\n\\t\\\"cloudflare-workers-ai\\\": \\\"Cloudflare Workers AI\\\",\\n\\tdeepseek: \\\"DeepSeek\\\",\\n\\tfireworks: \\\"Fireworks\\\",\\n\\tgoogle: \\\"Google Gemini\\\",\\n\\t\\\"google-vertex\\\": \\\"Google Vertex AI\\\",\\n\\tgroq: \\\"Groq\\\",\\n\\thuggingface: \\\"Hugging Face\\\",\\n\\t\\\"kimi-coding\\\": \\\"Kimi For Coding\\\",\\n\\tmistral: \\\"Mistral\\\",\\n\\tminimax: \\\"MiniMax\\\",\\n\\t\\\"minimax-cn\\\": \\\"MiniMax (China)\\\",\\n\\tmoonshotai: \\\"Moonshot AI\\\",\\n\\t\\\"moonshotai-cn\\\": \\\"Moonshot AI (China)\\\",\\n\\topencode: \\\"OpenCode Zen\\\",\\n\\t\\\"opencode-go\\\": \\\"OpenCode Go\\\",\\n\\topenai: \\\"OpenAI\\\",\\n\\topenrouter: 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* Model registry - manages built-in and custom models, provides API key resolution.\\n */\\n\\nimport {\\n\\ttype AnthropicMessagesCompat,\\n\\ttype Api,\\n\\ttype AssistantMessageEventStream,\\n\\ttype Context,\\n\\tgetModels,\\n\\tgetProviders,\\n\\ttype KnownProvider,\\n\\ttype Model,\\n\\ttype OAuthProviderInterface,\\n\\ttype OpenAICompletionsCompat,\\n\\ttype OpenAIResponsesCompat,\\n\\tregisterApiProvider,\\n\\tresetApiProviders,\\n\\ttype SimpleStreamOptions,\\n} from \\\"@mariozechner/pi-ai\\\";\\nimport { registerOAuthProvider, resetOAuthProviders } from \\\"@mariozechner/pi-ai/oauth\\\";\\nimport { existsSync, readFileSync } from \\\"fs\\\";\\nimport { join } from \\\"path\\\";\\nimport { type Static, Type } from \\\"typebox\\\";\\nimport { Compile } from \\\"typebox/compile\\\";\\nimport type { TLocalizedValidationError } from \\\"typebox/error\\\";\\nimport { getAgentDir } from \\\"../config.js\\\";\\nimport type { AuthStatus, AuthStorage } from \\\"./auth-storage.js\\\";\\nimport { BUILT_IN_PROVIDER_DISPLAY_NAMES } from \\\"./provider-display-names.js\\\";\\nimport {\\n\\tclearConfigValueCache,\\n\\tresolveConfigValueOrThrow,\\n\\tresolveConfigValueUncached,\\n\\tresolveHeadersOrThrow,\\n} from \\\"./resolve-config-value.js\\\";\\n\\n// Schema for OpenRouter routing preferences\\nconst PercentileCutoffsSchema = Type.Object({\\n\\tp50: Type.Optional(Type.Number()),\\n\\tp75: Type.Optional(Type.Number()),\\n\\tp90: Type.Optional(Type.Number()),\\n\\tp99: Type.Optional(Type.Number()),\\n});\\n\\nconst OpenRouterRoutingSchema = Type.Object({\\n\\tallow_fallbacks: Type.Optional(Type.Boolean()),\\n\\trequire_parameters: Type.Optional(Type.Boolean()),\\n\\tdata_collection: Type.Optional(Type.Union([Type.Literal(\\\"deny\\\"), Type.Literal(\\\"allow\\\")])),\\n\\tzdr: Type.Optional(Type.Boolean()),\\n\\tenforce_distillable_text: Type.Optional(Type.Boolean()),\\n\\torder: Type.Optional(Type.Array(Type.String())),\\n\\tonly: Type.Optional(Type.Array(Type.String())),\\n\\tignore: Type.Optional(Type.Array(Type.String())),\\n\\tquantizations: Type.Optional(Type.Array(Type.String())),\\n\\tsort: Type.Optional(\\n\\t\\tType.Union([\\n\\t\\t\\tType.String(),\\n\\t\\t\\tType.Object({\\n\\t\\t\\t\\tby: Type.Optional(Type.String()),\\n\\t\\t\\t\\tpartition: Type.Optional(Type.Union([Type.String(), Type.Null()])),\\n\\t\\t\\t}),\\n\\t\\t]),\\n\\t),\\n\\tmax_price: Type.Optional(\\n\\t\\tType.Object({\\n\\t\\t\\tprompt: Type.Optional(Type.Union([Type.Number(), Type.String()])),\\n\\t\\t\\tcompletion: Type.Optional(Type.Union([Type.Number(), Type.String()])),\\n\\t\\t\\timage: Type.Optional(Type.Union([Type.Number(), Type.String()])),\\n\\t\\t\\taudio: Type.Optional(Type.Union([Type.Number(), Type.String()])),\\n\\t\\t\\trequest: Type.Optional(Type.Union([Type.Number(), Type.String()])),\\n\\t\\t}),\\n\\t),\\n\\tpreferred_min_throughput: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\\n\\tpreferred_max_latency: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\\n});\\n\\n// Schema for Vercel AI Gateway routing preferences\\nconst VercelGatewayRoutingSchema = Type.Object({\\n\\tonly: Type.Optional(Type.Array(Type.String())),\\n\\torder: Type.Optional(Type.Array(Type.String())),\\n});\\n\\n// Schema for thinking level support and provider-specific values\\nconst ThinkingLevelMapValueSchema = Type.Union([Type.String(), Type.Null()]);\\nconst ThinkingLevelMapSchema = Type.Object({\\n\\toff: Type.Optional(ThinkingLevelMapValueSchema),\\n\\tminimal: Type.Optional(ThinkingLevelMapValueSchema),\\n\\tlow: Type.Optional(ThinkingLevelMapValueSchema),\\n\\tmedium: Type.Optional(ThinkingLevelMapValueSchema),\\n\\thigh: Type.Optional(ThinkingLevelMapValueSchema),\\n\\txhigh: Type.Optional(ThinkingLevelMapValueSchema),\\n});\\n\\nconst OpenAICompletionsCompatSchema = Type.Object({\\n\\tsupportsStore: Type.Optional(Type.Boolean()),\\n\\tsupportsDeveloperRole: Type.Optional(Type.Boolean()),\\n\\tsupportsReasoningEffort: Type.Optional(Type.Boolean()),\\n\\tsupportsUsageInStreaming: Type.Optional(Type.Boolean()),\\n\\tmaxTokensField: Type.Optional(Type.Union([Type.Literal(\\\"max_completion_tokens\\\"), Type.Literal(\\\"max_tokens\\\")])),\\n\\trequiresToolResultName: Type.Optional(Type.Boolean()),\\n\\trequiresAssistantAfterToolResult: Type.Optional(Type.Boolean()),\\n\\trequiresThinkingAsText: Type.Optional(Type.Boolean()),\\n\\trequiresReasoningContentOnAssistantMessages: Type.Optional(Type.Boolean()),\\n\\tthinkingFormat: Type.Optional(\\n\\t\\tType.Union([\\n\\t\\t\\tType.Literal(\\\"openai\\\"),\\n\\t\\t\\tType.Literal(\\\"openrouter\\\"),\\n\\t\\t\\tType.Literal(\\\"deepseek\\\"),\\n\\t\\t\\tType.Literal(\\\"zai\\\"),\\n\\t\\t\\tType.Literal(\\\"qwen\\\"),\\n\\t\\t\\tType.Literal(\\\"qwen-chat-template\\\"),\\n\\t\\t]),\\n\\t),\\n\\tcacheControlFormat: Type.Optional(Type.Literal(\\\"anthropic\\\")),\\n\\topenRouterRouting: Type.Optional(OpenRouterRoutingSchema),\\n\\tvercelGatewayRouting: Type.Optional(VercelGatewayRoutingSchema),\\n\\tsupportsStrictMode: Type.Optional(Type.Boolean()),\\n\\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\\n});\\n\\nconst OpenAIResponsesCompatSchema = Type.Object({\\n\\tsendSessionIdHeader: Type.Optional(Type.Boolean()),\\n\\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\\n});\\n\\nconst AnthropicMessagesCompatSchema = Type.Object({\\n\\tsupportsEagerToolInputStreaming: Type.Optional(Type.Boolean()),\\n\\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\\n});\\n\\nconst ProviderCompatSchema = Type.Union([\\n\\tOpenAICompletionsCompatSchema,\\n\\tOpenAIResponsesCompatSchema,\\n\\tAnthropicMessagesCompatSchema,\\n]);\\n\\n// Schema for custom model definition\\n// Most fields are optional with sensible defaults for local models (Ollama, LM Studio, etc.)\\nconst ModelDefinitionSchema = Type.Object({\\n\\tid: Type.String({ minLength: 1 }),\\n\\tname: Type.Optional(Type.String({ minLength: 1 })),\\n\\tapi: Type.Optional(Type.String({ minLength: 1 })),\\n\\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\\n\\treasoning: Type.Optional(Type.Boolean()),\\n\\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\\n\\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\\\"text\\\"), Type.Literal(\\\"image\\\")]))),\\n\\tcost: Type.Optional(\\n\\t\\tType.Object({\\n\\t\\t\\tinput: Type.Number(),\\n\\t\\t\\toutput: Type.Number(),\\n\\t\\t\\tcacheRead: Type.Number(),\\n\\t\\t\\tcacheWrite: Type.Number(),\\n\\t\\t}),\\n\\t),\\n\\tcontextWindow: Type.Optional(Type.Number()),\\n\\tmaxTokens: Type.Optional(Type.Number()),\\n\\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\\n\\tcompat: Type.Optional(ProviderCompatSchema),\\n});\\n\\n// Schema for per-model overrides (all fields optional, merged with built-in model)\\nconst ModelOverrideSchema = Type.Object({\\n\\tname: Type.Optional(Type.String({ minLength: 1 })),\\n\\treasoning: Type.Optional(Type.Boolean()),\\n\\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\\n\\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\\\"text\\\"), Type.Literal(\\\"image\\\")]))),\\n\\tcost: Type.Optional(\\n\\t\\tType.Object({\\n\\t\\t\\tinput: Type.Optional(Type.Number()),\\n\\t\\t\\toutput: Type.Optional(Type.Number()),\\n\\t\\t\\tcacheRead: Type.Optional(Type.Number()),\\n\\t\\t\\tcacheWrite: Type.Optional(Type.Number()),\\n\\t\\t}),\\n\\t),\\n\\tcontextWindow: Type.Optional(Type.Number()),\\n\\tmaxTokens: Type.Optional(Type.Number()),\\n\\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\\n\\tcompat: Type.Optional(ProviderCompatSchema),\\n});\\n\\ntype ModelOverride = Static<typeof ModelOverrideSchema>;\\n\\nconst ProviderConfigSchema = Type.Object({\\n\\tname: Type.Optional(Type.String({ minLength: 1 })),\\n\\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\\n\\tapiKey: Type.Optional(Type.String({ minLength: 1 })),\\n\\tapi: Type.Optional(Type.String({ minLength: 1 })),\\n\\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\\n\\tcompat: Type.Optional(ProviderCompatSchema),\\n\\tauthHeader: Type.Optional(Type.Boolean()),\\n\\tmodels: Type.Optional(Type.Array(ModelDefinitionSchema)),\\n\\tmodelOverrides: Type.Optional(Type.Record(Type.String(), ModelOverrideSchema)),\\n});\\n\\nconst ModelsConfigSchema = Type.Object({\\n\\tproviders: Type.Record(Type.String(), ProviderConfigSchema),\\n});\\n\\nconst validateModelsConfig = Compile(ModelsConfigSchema);\\n\\ntype ModelsConfig = Static<typeof ModelsConfigSchema>;\\n\\nfunction formatValidationPath(error: TLocalizedValidationError): string {\\n\\tif (error.keyword === \\\"required\\\") {\\n\\t\\tconst requiredProperties = (error.params as { requiredProperties?: string[] }).requiredProperties;\\n\\t\\tconst requiredProperty = requiredProperties?.[0];\\n\\t\\tif (requiredProperty) {\\n\\t\\t\\tconst basePath = error.instancePath.replace(/^\\\\//, \\\"\\\").replace(/\\\\//g, \\\".\\\");\\n\\t\\t\\treturn basePath ? `${basePath}.${requiredProperty}` : requiredProperty;\\n\\t\\t}\\n\\t}\\n\\tconst path = error.instancePath.replace(/^\\\\//, \\\"\\\").replace(/\\\\//g, \\\".\\\");\\n\\treturn path || \\\"root\\\";\\n}\\n\\n/** Strip `//` line comments and trailing commas from JSON, leaving string literals untouched. */\\nfunction stripJsonComments(input: string): string {\\n\\treturn input\\n\\t\\t.replace(/\\\"(?:\\\\\\\\.|[^\\\"\\\\\\\\])*\\\"|\\\\/\\\\/[^\\\\n]*/g, (m) => (m[0] === '\\\"' ? m : \\\"\\\"))\\n\\t\\t.replace(/\\\"(?:\\\\\\\\.|[^\\\"\\\\\\\\])*\\\"|,(\\\\s*[}\\\\]])/g, (m, tail) => tail ?? (m[0] === '\\\"' ? m : \\\"\\\"));\\n}\\n\\n/** Provider override config (baseUrl, compat) without request auth/headers */\\ninterface ProviderOverride {\\n\\tbaseUrl?: string;\\n\\tcompat?: Model<Api>[\\\"compat\\\"];\\n}\\n\\ninterface ProviderRequestConfig {\\n\\tapiKey?: string;\\n\\theaders?: Record<string, string>;\\n\\tauthHeader?: boolean;\\n}\\n\\nexport type ResolvedRequestAuth =\\n\\t| {\\n\\t\\t\\tok: true;\\n\\t\\t\\tapiKey?: string;\\n\\t\\t\\theaders?: Record<string, string>;\\n\\t  }\\n\\t| {\\n\\t\\t\\tok: false;\\n\\t\\t\\terror: string;\\n\\t  };\\n\\n/** Result of loading custom models from models.json */\\ninterface CustomModelsResult {\\n\\tmodels: Model<Api>[];\\n\\t/** Providers with baseUrl/headers/apiKey overrides for built-in models */\\n\\toverrides: Map<string, ProviderOverride>;\\n\\t/** Per-model overrides: provider -> modelId -> override */\\n\\tmodelOverrides: Map<string, Map<string, ModelOverride>>;\\n\\terror: string | undefined;\\n}\\n\\nfunction emptyCustomModelsResult(error?: string): CustomModelsResult {\\n\\treturn { models: [], overrides: new Map(), modelOverrides: new Map(), error };\\n}\\n\\nfunction mergeCompat(\\n\\tbaseCompat: Model<Api>[\\\"compat\\\"],\\n\\toverrideCompat: ModelOverride[\\\"compat\\\"],\\n): Model<Api>[\\\"compat\\\"] | undefined {\\n\\tif (!overrideCompat) return baseCompat;\\n\\n\\tconst base = baseCompat as OpenAICompletionsCompat | OpenAIResponsesCompat | AnthropicMessagesCompat | undefined;\\n\\tconst override = overrideCompat as OpenAICompletionsCompat | OpenAIResponsesCompat | AnthropicMessagesCompat;\\n\\tconst merged = { ...base, ...override } as OpenAICompletionsCompat | OpenAIResponsesCompat | AnthropicMessagesCompat;\\n\\n\\tconst baseCompletions = base as OpenAICompletionsCompat | undefined;\\n\\tconst overrideCompletions = override as OpenAICompletionsCompat;\\n\\tconst mergedCompletions = merged as OpenAICompletionsCompat;\\n\\n\\tif (baseCompletions?.openRouterRouting || overrideCompletions.openRouterRouting) {\\n\\t\\tmergedCompletions.openRouterRouting = {\\n\\t\\t\\t...baseCompletions?.openRouterRouting,\\n\\t\\t\\t...overrideCompletions.openRouterRouting,\\n\\t\\t};\\n\\t}\\n\\n\\tif (baseCompletions?.vercelGatewayRouting || overrideCompletions.vercelGatewayRouting) {\\n\\t\\tmergedCompletions.vercelGatewayRouting = {\\n\\t\\t\\t...baseCompletions?.vercelGatewayRouting,\\n\\t\\t\\t...overrideCompletions.vercelGatewayRouting,\\n\\t\\t};\\n\\t}\\n\\n\\treturn merged as Model<Api>[\\\"compat\\\"];\\n}\\n\\n/**\\n * Deep merge a model override into a model.\\n * Handles nested objects (cost, compat) by merging rather than replacing.\\n */\\nfunction applyModelOverride(model: Model<Api>, override: ModelOverride): Model<Api> {\\n\\tconst result = { ...model };\\n\\n\\t// Simple field overrides\\n\\tif (override.name !== undefined) result.name = override.name;\\n\\tif (override.reasoning !== undefined) result.reasoning = override.reasoning;\\n\\tif (override.thinkingLevelMap !== undefined) {\\n\\t\\tresult.thinkingLevelMap = { ...model.thinkingLevelMap, ...override.thinkingLevelMap };\\n\\t}\\n\\tif (override.input !== undefined) result.input = override.input as (\\\"text\\\" | \\\"image\\\")[];\\n\\tif (override.contextWindow !== undefined) result.contextWindow = override.contextWindow;\\n\\tif (override.maxTokens !== undefined) result.maxTokens = override.maxTokens;\\n\\n\\t// Merge cost (partial override)\\n\\tif (override.cost) {\\n\\t\\tresult.cost = {\\n\\t\\t\\tinput: override.cost.input ?? model.cost.input,\\n\\t\\t\\toutput: override.cost.output ?? model.cost.output,\\n\\t\\t\\tcacheRead: override.cost.cacheRead ?? model.cost.cacheRead,\\n\\t\\t\\tcacheWrite: override.cost.cacheWrite ?? model.cost.cacheWrite,\\n\\t\\t};\\n\\t}\\n\\n\\t// Deep merge compat\\n\\tresult.compat = mergeCompat(model.compat, override.compat);\\n\\n\\treturn result;\\n}\\n\\n/** Clear the config value command cache. Exported for testing. */\\nexport const clearApiKeyCache = clearConfigValueCache;\\n\\n/**\\n * Model registry - loads and manages models, resolves API keys via AuthStorage.\\n */\\nexport class ModelRegistry {\\n\\tprivate models: Model<Api>[] = [];\\n\\tprivate providerRequestConfigs: Map<string, ProviderRequestConfig> = new Map();\\n\\tprivate modelRequestHeaders: Map<string, Record<string, string>> = new Map();\\n\\tprivate registeredProviders: Map<string, ProviderConfigInput> = new Map();\\n\\tprivate loadError: string | undefined = undefined;\\n\\n\\tprivate constructor(\\n\\t\\treadonly authStorage: AuthStorage,\\n\\t\\tprivate modelsJsonPath: string | undefined,\\n\\t) {\\n\\t\\tthis.loadModels();\\n\\t}\\n\\n\\tstatic create(authStorage: AuthStorage, modelsJsonPath: string = join(getAgentDir(), \\\"models.json\\\")): ModelRegistry {\\n\\t\\treturn new ModelRegistry(authStorage, modelsJsonPath);\\n\\t}\\n\\n\\tstatic inMemory(authStorage: AuthStorage): ModelRegistry {\\n\\t\\treturn new ModelRegistry(authStorage, undefined);\\n\\t}\\n\\n\\t/**\\n\\t * Reload models from disk (built-in + custom from models.json).\\n\\t */\\n\\trefresh(): void {\\n\\t\\tthis.providerRequestConfigs.clear();\\n\\t\\tthis.modelRequestHeaders.clear();\\n\\t\\tthis.loadError = undefined;\\n\\n\\t\\t// Ensure dynamic API/OAuth registrations are rebuilt from current provider state.\\n\\t\\tresetApiProviders();\\n\\t\\tresetOAuthProviders();\\n\\n\\t\\tthis.loadModels();\\n\\n\\t\\tfor (const [providerName, config] of this.registeredProviders.entries()) {\\n\\t\\t\\tthis.applyProviderConfig(providerName, config);\\n\\t\\t}\\n\\t}\\n\\n\\t/**\\n\\t * Get any error from loading models.json (undefined if no error).\\n\\t */\\n\\tgetError(): string | undefined {\\n\\t\\treturn this.loadError;\\n\\t}\\n\\n\\tprivate loadModels(): void {\\n\\t\\t// Load custom models and overrides from models.json\\n\\t\\tconst {\\n\\t\\t\\tmodels: customModels,\\n\\t\\t\\toverrides,\\n\\t\\t\\tmodelOverrides,\\n\\t\\t\\terror,\\n\\t\\t} = this.modelsJsonPath ? this.loadCustomModels(this.modelsJsonPath) : emptyCustomModelsResult();\\n\\n\\t\\tif (error) {\\n\\t\\t\\tthis.loadError = error;\\n\\t\\t\\t// Keep built-in models even if custom models failed to load\\n\\t\\t}\\n\\n\\t\\tconst builtInModels = this.loadBuiltInModels(overrides, modelOverrides);\\n\\t\\tlet combined = this.mergeCustomModels(builtInModels, customModels);\\n\\n\\t\\t// Let OAuth providers modify their models (e.g., update baseUrl)\\n\\t\\tfor (const oauthProvider of this.authStorage.getOAuthProviders()) {\\n\\t\\t\\tconst cred = this.authStorage.get(oauthProvider.id);\\n\\t\\t\\tif (cred?.type === \\\"oauth\\\" && oauthProvider.modifyModels) {\\n\\t\\t\\t\\tcombined = oauthProvider.modifyModels(combined, cred);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tthis.models = combined;\\n\\t}\\n\\n\\t/** Load built-in models and apply provider/model overrides */\\n\\tprivate loadBuiltInModels(\\n\\t\\toverrides: Map<string, ProviderOverride>,\\n\\t\\tmodelOverrides: Map<string, Map<string, ModelOverride>>,\\n\\t): Model<Api>[] {\\n\\t\\treturn getProviders().flatMap((provider) => {\\n\\t\\t\\tconst models = getModels(provider as KnownProvider) as Model<Api>[];\\n\\t\\t\\tconst providerOverride = overrides.get(provider);\\n\\t\\t\\tconst perModelOverrides = modelOverrides.get(provider);\\n\\n\\t\\t\\treturn models.map((m) => {\\n\\t\\t\\t\\tlet model = m;\\n\\n\\t\\t\\t\\t// Apply provider-level baseUrl/headers/compat override\\n\\t\\t\\t\\tif (providerOverride) {\\n\\t\\t\\t\\t\\tmodel = {\\n\\t\\t\\t\\t\\t\\t...model,\\n\\t\\t\\t\\t\\t\\tbaseUrl: providerOverride.baseUrl ?? model.baseUrl,\\n\\t\\t\\t\\t\\t\\tcompat: mergeCompat(model.compat, providerOverride.compat),\\n\\t\\t\\t\\t\\t};\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// Apply per-model override\\n\\t\\t\\t\\tconst modelOverride = perModelOverrides?.get(m.id);\\n\\t\\t\\t\\tif (modelOverride) {\\n\\t\\t\\t\\t\\tmodel = applyModelOverride(model, modelOverride);\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\treturn model;\\n\\t\\t\\t});\\n\\t\\t});\\n\\t}\\n\\n\\t/** Merge custom models into built-in list by provider+id (custom wins on conflicts). */\\n\\tprivate mergeCustomModels(builtInModels: Model<Api>[], customModels: Model<Api>[]): Model<Api>[] {\\n\\t\\tconst merged = [...builtInModels];\\n\\t\\tfor (const customModel of customModels) {\\n\\t\\t\\tconst existingIndex = merged.findIndex((m) => m.provider === customModel.provider && m.id === customModel.id);\\n\\t\\t\\tif (existingIndex >= 0) {\\n\\t\\t\\t\\tmerged[existingIndex] = customModel;\\n\\t\\t\\t} else {\\n\\t\\t\\t\\tmerged.push(customModel);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn merged;\\n\\t}\\n\\n\\tprivate loadCustomModels(modelsJsonPath: string): CustomModelsResult {\\n\\t\\tif (!existsSync(modelsJsonPath)) {\\n\\t\\t\\treturn emptyCustomModelsResult();\\n\\t\\t}\\n\\n\\t\\ttry {\\n\\t\\t\\tconst content = readFileSync(modelsJsonPath, \\\"utf-8\\\");\\n\\t\\t\\tconst parsed = JSON.parse(stripJsonComments(content)) as unknown;\\n\\n\\t\\t\\tif (!validateModelsConfig.Check(parsed)) {\\n\\t\\t\\t\\tconst errors =\\n\\t\\t\\t\\t\\tvalidateModelsConfig\\n\\t\\t\\t\\t\\t\\t.Errors(parsed)\\n\\t\\t\\t\\t\\t\\t.map((error) => `  - ${formatValidationPath(error)}: ${error.message}`)\\n\\t\\t\\t\\t\\t\\t.join(\\\"\\\\n\\\") || \\\"Unknown schema error\\\";\\n\\t\\t\\t\\treturn emptyCustomModelsResult(`Invalid models.json schema:\\\\n${errors}\\\\n\\\\nFile: ${modelsJsonPath}`);\\n\\t\\t\\t}\\n\\n\\t\\t\\tconst config = parsed as ModelsConfig;\\n\\n\\t\\t\\t// Additional validation\\n\\t\\t\\tthis.validateConfig(config);\\n\\n\\t\\t\\tconst overrides = new Map<string, ProviderOverride>();\\n\\t\\t\\tconst modelOverrides = new Map<string, Map<string, ModelOverride>>();\\n\\n\\t\\t\\tfor (const [providerName, providerConfig] of Object.entries(config.providers)) {\\n\\t\\t\\t\\tif (providerConfig.baseUrl || providerConfig.compat) {\\n\\t\\t\\t\\t\\toverrides.set(providerName, {\\n\\t\\t\\t\\t\\t\\tbaseUrl: providerConfig.baseUrl,\\n\\t\\t\\t\\t\\t\\tcompat: providerConfig.compat,\\n\\t\\t\\t\\t\\t});\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tthis.storeProviderRequestConfig(providerName, providerConfig);\\n\\n\\t\\t\\t\\tif (providerConfig.modelOverrides) {\\n\\t\\t\\t\\t\\tmodelOverrides.set(providerName, new Map(Object.entries(providerConfig.modelOverrides)));\\n\\t\\t\\t\\t\\tfor (const [modelId, modelOverride] of Object.entries(providerConfig.modelOverrides)) {\\n\\t\\t\\t\\t\\t\\tthis.storeModelHeaders(providerName, modelId, modelOverride.headers);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\treturn { models: this.parseModels(config), overrides, modelOverrides, error: undefined };\\n\\t\\t} catch (error) {\\n\\t\\t\\tif (error instanceof SyntaxError) {\\n\\t\\t\\t\\treturn emptyCustomModelsResult(`Failed to parse models.json: ${error.message}\\\\n\\\\nFile: ${modelsJsonPath}`);\\n\\t\\t\\t}\\n\\t\\t\\treturn emptyCustomModelsResult(\\n\\t\\t\\t\\t`Failed to load models.json: ${error instanceof Error ? error.message : error}\\\\n\\\\nFile: ${modelsJsonPath}`,\\n\\t\\t\\t);\\n\\t\\t}\\n\\t}\\n\\n\\tprivate validateConfig(config: ModelsConfig): void {\\n\\t\\tconst builtInProviders = new Set<string>(getProviders());\\n\\n\\t\\tfor (const [providerName, providerConfig] of Object.entries(config.providers)) {\\n\\t\\t\\tconst isBuiltIn = builtInProviders.has(providerName);\\n\\t\\t\\tconst hasProviderApi = !!providerConfig.api;\\n\\t\\t\\tconst models = providerConfig.models ?? [];\\n\\t\\t\\tconst hasModelOverrides =\\n\\t\\t\\t\\tproviderConfig.modelOverrides && Object.keys(providerConfig.modelOverrides).length > 0;\\n\\n\\t\\t\\tif (models.length === 0) {\\n\\t\\t\\t\\t// Override-only config: needs baseUrl, headers, compat, modelOverrides, or some combination.\\n\\t\\t\\t\\tif (!providerConfig.baseUrl && !providerConfig.headers && !providerConfig.compat && !hasModelOverrides) {\\n\\t\\t\\t\\t\\tthrow new Error(\\n\\t\\t\\t\\t\\t\\t`Provider ${providerName}: must specify \\\"baseUrl\\\", \\\"headers\\\", \\\"compat\\\", \\\"modelOverrides\\\", or \\\"models\\\".`,\\n\\t\\t\\t\\t\\t);\\n\\t\\t\\t\\t}\\n\\t\\t\\t} else if (!isBuiltIn) {\\n\\t\\t\\t\\t// Non-built-in providers with custom models require endpoint + auth.\\n\\t\\t\\t\\tif (!providerConfig.baseUrl) {\\n\\t\\t\\t\\t\\tthrow new Error(`Provider ${providerName}: \\\"baseUrl\\\" is required when defining custom models.`);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tif (!providerConfig.apiKey) {\\n\\t\\t\\t\\t\\tthrow new Error(`Provider ${providerName}: \\\"apiKey\\\" is required when defining custom models.`);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t// Built-in providers with custom models: baseUrl/apiKey/api are optional,\\n\\t\\t\\t// inherited from built-in models. Auth comes from env vars / auth storage.\\n\\n\\t\\t\\tfor (const modelDef of models) {\\n\\t\\t\\t\\tconst hasModelApi = !!modelDef.api;\\n\\n\\t\\t\\t\\tif (!hasProviderApi && !hasModelApi && !isBuiltIn) {\\n\\t\\t\\t\\t\\tthrow new Error(\\n\\t\\t\\t\\t\\t\\t`Provider ${providerName}, model ${modelDef.id}: no \\\"api\\\" specified. Set at provider or model level.`,\\n\\t\\t\\t\\t\\t);\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t// For built-in providers, api is optional — inherited from built-in models.\\n\\n\\t\\t\\t\\tif (!modelDef.id) throw new Error(`Provider ${providerName}: model missing \\\"id\\\"`);\\n\\t\\t\\t\\t// Validate contextWindow/maxTokens only if provided (they have defaults)\\n\\t\\t\\t\\tif (modelDef.contextWindow !== undefined && modelDef.contextWindow <= 0)\\n\\t\\t\\t\\t\\tthrow new Error(`Provider ${providerName}, model ${modelDef.id}: invalid contextWindow`);\\n\\t\\t\\t\\tif (modelDef.maxTokens !== undefined && modelDef.maxTokens <= 0)\\n\\t\\t\\t\\t\\tthrow new Error(`Provider ${providerName}, model ${modelDef.id}: invalid maxTokens`);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tprivate parseModels(config: ModelsConfig): Model<Api>[] {\\n\\t\\tconst models: Model<Api>[] = [];\\n\\t\\tconst builtInProviders = new Set<string>(getProviders());\\n\\n\\t\\t// Cache built-in defaults (api, baseUrl) per provider, extracted from first model.\\n\\t\\tconst builtInDefaultsCache = new Map<string, { api: string; baseUrl: string }>();\\n\\t\\tconst getBuiltInDefaults = (providerName: string): { api: string; baseUrl: string } | undefined => {\\n\\t\\t\\tif (!builtInProviders.has(providerName)) return undefined;\\n\\t\\t\\tif (builtInDefaultsCache.has(providerName)) return builtInDefaultsCache.get(providerName);\\n\\t\\t\\tconst builtIn = getModels(providerName as KnownProvider) as Model<Api>[];\\n\\t\\t\\tif (builtIn.length === 0) return undefined;\\n\\t\\t\\tconst defaults = { api: builtIn[0].api, baseUrl: builtIn[0].baseUrl };\\n\\t\\t\\tbuiltInDefaultsCache.set(providerName, defaults);\\n\\t\\t\\treturn defaults;\\n\\t\\t};\\n\\n\\t\\tfor (const [providerName, providerConfig] of Object.entries(config.providers)) {\\n\\t\\t\\tconst modelDefs = providerConfig.models ?? [];\\n\\t\\t\\tif (modelDefs.length === 0) continue; // Override-only, no custom models\\n\\n\\t\\t\\tconst builtInDefaults = getBuiltInDefaults(providerName);\\n\\n\\t\\t\\tfor (const modelDef of modelDefs) {\\n\\t\\t\\t\\tconst api = modelDef.api ?? providerConfig.api ?? builtInDefaults?.api;\\n\\t\\t\\t\\tif (!api) continue;\\n\\n\\t\\t\\t\\tconst baseUrl = modelDef.baseUrl ?? providerConfig.baseUrl ?? builtInDefaults?.baseUrl;\\n\\t\\t\\t\\tif (!baseUrl) continue;\\n\\n\\t\\t\\t\\tconst compat = mergeCompat(providerConfig.compat, modelDef.compat);\\n\\t\\t\\t\\tthis.storeModelHeaders(providerName, modelDef.id, modelDef.headers);\\n\\n\\t\\t\\t\\tconst defaultCost = { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 };\\n\\t\\t\\t\\tmodels.push({\\n\\t\\t\\t\\t\\tid: modelDef.id,\\n\\t\\t\\t\\t\\tname: modelDef.name ?? modelDef.id,\\n\\t\\t\\t\\t\\tapi: api as Api,\\n\\t\\t\\t\\t\\tprovider: providerName,\\n\\t\\t\\t\\t\\tbaseUrl,\\n\\t\\t\\t\\t\\treasoning: modelDef.reasoning ?? false,\\n\\t\\t\\t\\t\\tthinkingLevelMap: modelDef.thinkingLevelMap,\\n\\t\\t\\t\\t\\tinput: (modelDef.input ?? [\\\"text\\\"]) as (\\\"text\\\" | \\\"image\\\")[],\\n\\t\\t\\t\\t\\tcost: modelDef.cost ?? defaultCost,\\n\\t\\t\\t\\t\\tcontextWindow: modelDef.contextWindow ?? 128000,\\n\\t\\t\\t\\t\\tmaxTokens: modelDef.maxTokens ?? 16384,\\n\\t\\t\\t\\t\\theaders: undefined,\\n\\t\\t\\t\\t\\tcompat,\\n\\t\\t\\t\\t} as Model<Api>);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn models;\\n\\t}\\n\\n\\t/**\\n\\t * Get all models (built-in + custom).\\n\\t * If models.json had errors, returns only built-in models.\\n\\t */\\n\\tgetAll(): Model<Api>[] {\\n\\t\\treturn this.models;\\n\\t}\\n\\n\\t/**\\n\\t * Get only models that have auth configured.\\n\\t * This is a fast check that doesn't refresh OAuth tokens.\\n\\t */\\n\\tgetAvailable(): Model<Api>[] {\\n\\t\\treturn this.models.filter((m) => this.hasConfiguredAuth(m));\\n\\t}\\n\\n\\t/**\\n\\t * Find a model by provider and ID.\\n\\t */\\n\\tfind(provider: string, modelId: string): Model<Api> | undefined {\\n\\t\\treturn this.models.find((m) => m.provider === provider && m.id === modelId);\\n\\t}\\n\\n\\t/**\\n\\t * Get API key for a model.\\n\\t */\\n\\thasConfiguredAuth(model: Model<Api>): boolean {\\n\\t\\treturn (\\n\\t\\t\\tthis.authStorage.hasAuth(model.provider) ||\\n\\t\\t\\tthis.providerRequestConfigs.get(model.provider)?.apiKey !== undefined\\n\\t\\t);\\n\\t}\\n\\n\\tprivate getModelRequestKey(provider: string, modelId: string): string {\\n\\t\\treturn `${provider}:${modelId}`;\\n\\t}\\n\\n\\tprivate storeProviderRequestConfig(\\n\\t\\tproviderName: string,\\n\\t\\tconfig: {\\n\\t\\t\\tapiKey?: string;\\n\\t\\t\\theaders?: Record<string, string>;\\n\\t\\t\\tauthHeader?: boolean;\\n\\t\\t},\\n\\t): void {\\n\\t\\tif (!config.apiKey && !config.headers && !config.authHeader) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\n\\t\\tthis.providerRequestConfigs.set(providerName, {\\n\\t\\t\\tapiKey: config.apiKey,\\n\\t\\t\\theaders: config.headers,\\n\\t\\t\\tauthHeader: config.authHeader,\\n\\t\\t});\\n\\t}\\n\\n\\tprivate storeModelHeaders(providerName: string, modelId: string, headers?: Record<string, string>): void {\\n\\t\\tconst key = this.getModelRequestKey(providerName, modelId);\\n\\t\\tif (!headers || Object.keys(headers).length === 0) {\\n\\t\\t\\tthis.modelRequestHeaders.delete(key);\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tthis.modelRequestHeaders.set(key, headers);\\n\\t}\\n\\n\\t/**\\n\\t * Get API key and request headers for a model.\\n\\t */\\n\\tasync getApiKeyAndHeaders(model: Model<Api>): Promise<ResolvedRequestAuth> {\\n\\t\\ttry {\\n\\t\\t\\tconst providerConfig = this.providerRequestConfigs.get(model.provider);\\n\\t\\t\\tconst apiKeyFromAuthStorage = await this.authStorage.getApiKey(model.provider, { includeFallback: false });\\n\\t\\t\\tconst apiKey =\\n\\t\\t\\t\\tapiKeyFromAuthStorage ??\\n\\t\\t\\t\\t(providerConfig?.apiKey\\n\\t\\t\\t\\t\\t? resolveConfigValueOrThrow(providerConfig.apiKey, `API key for provider \\\"${model.provider}\\\"`)\\n\\t\\t\\t\\t\\t: undefined);\\n\\n\\t\\t\\tconst providerHeaders = resolveHeadersOrThrow(providerConfig?.headers, `provider \\\"${model.provider}\\\"`);\\n\\t\\t\\tconst modelHeaders = resolveHeadersOrThrow(\\n\\t\\t\\t\\tthis.modelRequestHeaders.get(this.getModelRequestKey(model.provider, model.id)),\\n\\t\\t\\t\\t`model \\\"${model.provider}/${model.id}\\\"`,\\n\\t\\t\\t);\\n\\n\\t\\t\\tlet headers =\\n\\t\\t\\t\\tmodel.headers || providerHeaders || modelHeaders\\n\\t\\t\\t\\t\\t? { ...model.headers, ...providerHeaders, ...modelHeaders }\\n\\t\\t\\t\\t\\t: undefined;\\n\\n\\t\\t\\tif (providerConfig?.authHeader) {\\n\\t\\t\\t\\tif (!apiKey) {\\n\\t\\t\\t\\t\\treturn { ok: false, error: `No API key found for \\\"${model.provider}\\\"` };\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\theaders = { ...headers, Authorization: `Bearer ${apiKey}` };\\n\\t\\t\\t}\\n\\n\\t\\t\\treturn {\\n\\t\\t\\t\\tok: true,\\n\\t\\t\\t\\tapiKey,\\n\\t\\t\\t\\theaders: headers && Object.keys(headers).length > 0 ? headers : undefined,\\n\\t\\t\\t};\\n\\t\\t} catch (error) {\\n\\t\\t\\treturn {\\n\\t\\t\\t\\tok: false,\\n\\t\\t\\t\\terror: error instanceof Error ? error.message : String(error),\\n\\t\\t\\t};\\n\\t\\t}\\n\\t}\\n\\n\\t/**\\n\\t * Return auth status for a provider, including request auth configured in models.json.\\n\\t * This intentionally does not execute command-backed config values.\\n\\t */\\n\\tgetProviderAuthStatus(provider: string): AuthStatus {\\n\\t\\tconst authStatus = this.authStorage.getAuthStatus(provider);\\n\\t\\tif (authStatus.source) {\\n\\t\\t\\treturn authStatus;\\n\\t\\t}\\n\\n\\t\\tconst providerApiKey = this.providerRequestConfigs.get(provider)?.apiKey;\\n\\t\\tif (!providerApiKey) {\\n\\t\\t\\treturn authStatus;\\n\\t\\t}\\n\\n\\t\\tif (providerApiKey.startsWith(\\\"!\\\")) {\\n\\t\\t\\treturn { configured: true, source: \\\"models_json_command\\\" };\\n\\t\\t}\\n\\n\\t\\tif (process.env[providerApiKey]) {\\n\\t\\t\\treturn { configured: true, source: \\\"environment\\\", label: providerApiKey };\\n\\t\\t}\\n\\n\\t\\treturn { configured: true, source: \\\"models_json_key\\\" };\\n\\t}\\n\\n\\t/**\\n\\t * Get display name for a provider.\\n\\t */\\n\\tgetProviderDisplayName(provider: string): string {\\n\\t\\tconst registeredProvider = this.registeredProviders.get(provider);\\n\\t\\tconst oauthProvider = this.authStorage.getOAuthProviders().find((p) => p.id === provider);\\n\\n\\t\\treturn (\\n\\t\\t\\tregisteredProvider?.name ??\\n\\t\\t\\tregisteredProvider?.oauth?.name ??\\n\\t\\t\\toauthProvider?.name ??\\n\\t\\t\\tBUILT_IN_PROVIDER_DISPLAY_NAMES[provider] ??\\n\\t\\t\\tprovider\\n\\t\\t);\\n\\t}\\n\\n\\t/**\\n\\t * Get API key for a provider.\\n\\t */\\n\\tasync getApiKeyForProvider(provider: string): Promise<string | undefined> {\\n\\t\\tconst apiKey = await this.authStorage.getApiKey(provider, { includeFallback: false });\\n\\t\\tif (apiKey !== undefined) {\\n\\t\\t\\treturn apiKey;\\n\\t\\t}\\n\\n\\t\\tconst providerApiKey = this.providerRequestConfigs.get(provider)?.apiKey;\\n\\t\\treturn providerApiKey ? resolveConfigValueUncached(providerApiKey) : undefined;\\n\\t}\\n\\n\\t/**\\n\\t * Check if a model is using OAuth credentials (subscription).\\n\\t */\\n\\tisUsingOAuth(model: Model<Api>): boolean {\\n\\t\\tconst cred = this.authStorage.get(model.provider);\\n\\t\\treturn cred?.type === \\\"oauth\\\";\\n\\t}\\n\\n\\t/**\\n\\t * Register a provider dynamically (from extensions).\\n\\t *\\n\\t * If provider has models: replaces all existing models for this provider.\\n\\t * If provider has only baseUrl/headers: overrides existing models' URLs.\\n\\t * If provider has oauth: registers OAuth provider for /login support.\\n\\t */\\n\\tregisterProvider(providerName: string, config: ProviderConfigInput): void {\\n\\t\\tthis.validateProviderConfig(providerName, config);\\n\\t\\tthis.applyProviderConfig(providerName, config);\\n\\t\\tthis.upsertRegisteredProvider(providerName, config);\\n\\t}\\n\\n\\t/**\\n\\t * Unregister a previously registered provider.\\n\\t *\\n\\t * Removes the provider from the registry and reloads models from disk so that\\n\\t * built-in models overridden by this provider are restored to their original state.\\n\\t * Also resets dynamic OAuth and API stream registrations before reapplying\\n\\t * remaining dynamic providers.\\n\\t * Has no effect if the provider was never registered.\\n\\t */\\n\\tunregisterProvider(providerName: string): void {\\n\\t\\tif (!this.registeredProviders.has(providerName)) return;\\n\\t\\tthis.registeredProviders.delete(providerName);\\n\\t\\tthis.refresh();\\n\\t}\\n\\n\\t/**\\n\\t * Upsert a provider config into registeredProviders.\\n\\t * If the provider is already registered, defined values in the incoming config\\n\\t * override existing ones; undefined values are preserved from the stored config.\\n\\t * If the provider is not registered, the incoming config is stored as-is.\\n\\t */\\n\\tprivate upsertRegisteredProvider(providerName: string, config: ProviderConfigInput): void {\\n\\t\\tconst existing = this.registeredProviders.get(providerName);\\n\\t\\tif (!existing) {\\n\\t\\t\\tthis.registeredProviders.set(providerName, config);\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\t\\tfor (const k of Object.keys(config) as (keyof ProviderConfigInput)[]) {\\n\\t\\t\\tif (config[k] !== undefined) {\\n\\t\\t\\t\\t(existing as Record<string, unknown>)[k] = config[k];\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tprivate validateProviderConfig(providerName: string, config: ProviderConfigInput): void {\\n\\t\\tif (config.streamSimple && !config.api) {\\n\\t\\t\\tthrow new Error(`Provider ${providerName}: \\\"api\\\" is required when registering streamSimple.`);\\n\\t\\t}\\n\\n\\t\\tif (!config.models || config.models.length === 0) {\\n\\t\\t\\treturn;\\n\\t\\t}\\n\\n\\t\\tif (!config.baseUrl) {\\n\\t\\t\\tthrow new Error(`Provider ${providerName}: \\\"baseUrl\\\" is required when defining models.`);\\n\\t\\t}\\n\\t\\tif (!config.apiKey && !config.oauth) {\\n\\t\\t\\tthrow new Error(`Provider ${providerName}: \\\"apiKey\\\" or \\\"oauth\\\" is required when defining models.`);\\n\\t\\t}\\n\\n\\t\\tfor (const modelDef of config.models) {\\n\\t\\t\\tconst api = modelDef.api || config.api;\\n\\t\\t\\tif (!api) {\\n\\t\\t\\t\\tthrow new Error(`Provider ${providerName}, model ${modelDef.id}: no \\\"api\\\" specified.`);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tprivate applyProviderConfig(providerName: string, config: ProviderConfigInput): void {\\n\\t\\t// Register OAuth provider if provided\\n\\t\\tif (config.oauth) {\\n\\t\\t\\t// Ensure the OAuth provider ID matches the provider name\\n\\t\\t\\tconst oauthProvider: OAuthProviderInterface = {\\n\\t\\t\\t\\t...config.oauth,\\n\\t\\t\\t\\tid: providerName,\\n\\t\\t\\t};\\n\\t\\t\\tregisterOAuthProvider(oauthProvider);\\n\\t\\t}\\n\\n\\t\\tif (config.streamSimple) {\\n\\t\\t\\tconst streamSimple = config.streamSimple;\\n\\t\\t\\tregisterApiProvider(\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tapi: config.api!,\\n\\t\\t\\t\\t\\tstream: (model, context, options) => streamSimple(model, context, options as SimpleStreamOptions),\\n\\t\\t\\t\\t\\tstreamSimple,\\n\\t\\t\\t\\t},\\n\\t\\t\\t\\t`provider:${providerName}`,\\n\\t\\t\\t);\\n\\t\\t}\\n\\n\\t\\tthis.storeProviderRequestConfig(providerName, config);\\n\\n\\t\\tif (config.models && config.models.length > 0) {\\n\\t\\t\\t// Full replacement: remove existing models for this provider\\n\\t\\t\\tthis.models = this.models.filter((m) => m.provider !== providerName);\\n\\n\\t\\t\\t// Parse and add new models\\n\\t\\t\\tfor (const modelDef of config.models) {\\n\\t\\t\\t\\tconst api = modelDef.api || config.api;\\n\\t\\t\\t\\tthis.storeModelHeaders(providerName, modelDef.id, modelDef.headers);\\n\\n\\t\\t\\t\\tthis.models.push({\\n\\t\\t\\t\\t\\tid: modelDef.id,\\n\\t\\t\\t\\t\\tname: modelDef.name,\\n\\t\\t\\t\\t\\tapi: api as Api,\\n\\t\\t\\t\\t\\tprovider: providerName,\\n\\t\\t\\t\\t\\tbaseUrl: modelDef.baseUrl ?? config.baseUrl!,\\n\\t\\t\\t\\t\\treasoning: modelDef.reasoning,\\n\\t\\t\\t\\t\\tthinkingLevelMap: modelDef.thinkingLevelMap,\\n\\t\\t\\t\\t\\tinput: modelDef.input as (\\\"text\\\" | \\\"image\\\")[],\\n\\t\\t\\t\\t\\tcost: modelDef.cost,\\n\\t\\t\\t\\t\\tcontextWindow: modelDef.contextWindow,\\n\\t\\t\\t\\t\\tmaxTokens: modelDef.maxTokens,\\n\\t\\t\\t\\t\\theaders: undefined,\\n\\t\\t\\t\\t\\tcompat: modelDef.compat,\\n\\t\\t\\t\\t} as Model<Api>);\\n\\t\\t\\t}\\n\\n\\t\\t\\t// Apply OAuth modifyModels if credentials exist (e.g., to update baseUrl)\\n\\t\\t\\tif (config.oauth?.modifyModels) {\\n\\t\\t\\t\\tconst cred = this.authStorage.get(providerName);\\n\\t\\t\\t\\tif (cred?.type === \\\"oauth\\\") {\\n\\t\\t\\t\\t\\tthis.models = config.oauth.modifyModels(this.models, cred);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t} else if (config.baseUrl || config.headers) {\\n\\t\\t\\t// Override-only: update baseUrl for existing models. Request headers are resolved per request.\\n\\t\\t\\tthis.models = this.models.map((m) => {\\n\\t\\t\\t\\tif (m.provider !== providerName) return m;\\n\\t\\t\\t\\treturn {\\n\\t\\t\\t\\t\\t...m,\\n\\t\\t\\t\\t\\tbaseUrl: config.baseUrl ?? m.baseUrl,\\n\\t\\t\\t\\t};\\n\\t\\t\\t});\\n\\t\\t}\\n\\t}\\n}\\n\\n/**\\n * Input type for registerProvider API.\\n */\\nexport interface ProviderConfigInput {\\n\\tname?: string;\\n\\tbaseUrl?: string;\\n\\tapiKey?: string;\\n\\tapi?: Api;\\n\\tstreamSimple?: (model: Model<Api>, context: Context, options?: SimpleStreamOptions) => AssistantMessageEventStream;\\n\\theaders?: Record<string, string>;\\n\\tauthHeader?: boolean;\\n\\t/** OAuth provider for /login support */\\n\\toauth?: Omit<OAuthProviderInterface, \\\"id\\\">;\\n\\tmodels?: Array<{\\n\\t\\tid: string;\\n\\t\\tname: string;\\n\\t\\tapi?: Api;\\n\\t\\tbaseUrl?: string;\\n\\t\\treasoning: boolean;\\n\\t\\tthinkingLevelMap?: Model<Api>[\\\"thinkingLevelMap\\\"];\\n\\t\\tinput: (\\\"text\\\" | \\\"image\\\")[];\\n\\t\\tcost: { input: number; output: number; cacheRead: number; cacheWrite: number };\\n\\t\\tcontextWindow: number;\\n\\t\\tmaxTokens: number;\\n\\t\\theaders?: Record<string, string>;\\n\\t\\tcompat?: Model<Api>[\\\"compat\\\"];\\n\\t}>;\\n}\\n\"]}\npackage/dist/core/model-registry.js:75:        Type.Literal(\"deepseek\"),\npackage/dist/core/model-resolver.js:16:    deepseek: \"deepseek-v4-pro\",\npackage/dist/core/provider-display-names.js:8:    deepseek: \"DeepSeek\",\n","truncated":true,"truncatedBy":"bytes","totalLines":22,"totalBytes":216368,"outputLines":7,"outputBytes":42839,"lastLinePartial":false,"firstLineExceedsLimit":false,"maxLines":2000,"maxBytes":51200},"fullOutputPath":"/tmp/pi-bash-788766e4d7bbaec6.log"},"isError":false,"timestamp":1779919398334}}
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{"type":"message","id":"bce7d377","parentId":"5f4f86eb","timestamp":"2026-05-27T22:03:21.571Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting model resolver**\n\nI think I need to take a closer look at the lines in model-resolver.js. It’s likely important to understand how it’s functioning or potentially troubleshoot it if something’s not working as expected. Each line could have a significant role, so I want to make sure I’m being thorough. Once I check it out, I’ll have a better sense of how to proceed. Let's dig into that!","thinkingSignature":"{\"id\":\"rs_0f48e77c48749cb1016a176a271ca4819bbe44718ab328426b\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqF2opMgCKYcis-hLbmP1tAlsf8D0Bw0asVc4pNGcG9lbv4g3CM7837I4mT6Kjt389ofbaf-XGhRt1b6-KsQFjXljoxNPTH1Tfk_VwIwEQhe-LMqQ4ejjp5rR3vOLRj84sL7fyAATEqiB-xYnB76-C9fDpTn9fIZwvwWVNF24WlPOkjaOZmcxYSNyuLRmAyYEjoby41vBrJ1THEGS8sFXrmpKFBXNcb8Y-ytR315mFZlgZTq380kXU8TejCttUJ80-SDSMOHhokBTWWJc6nvTXU0QimL-fUQDhgSNt2mJddh2GPG0eVRawYlFSKbOHzYpcRPj0oJT_PTZGjeVVNbsv5qc_WIuEYoGjLAr-AhSBjgSL4Zb5vIQDIiS7jnxQ2LYYMnK6UQFHQSo0naz2BOE55wJ_QctlkGNYKXjOCFxfDD91gUErgUpxbegcSPe6A22q6vozgQ_cJQiSOZG8kaTvy31PWtyklzCj26cPjEanCrxp76x37WvPem1MXCGo0LoMLODx6Q1l78SGM8eZ1qDObWPCL_Xo07gEolXonUswWaTOtXITI-4fXifDW5wrls4-oOIOrEy46ttpJ1KmoPL1Ggngj-Rk8Xvh7rmoa0o1Ak_8jbGQma8zWWw764fgURayUHoBOQrJBP5CzRyKn-GYYMmJCJ0o43jkE61oxTydSsP4cD02B9FW2O2MzBiFh_qnS9KcCWDHzCIAwy8Gnrl_8EhWarX-x9dWbW2WhSi42hXQS_Zdwlb7Iz9Oawoj4d2q9ndLwxJ0MAlnt5Cx34nTUrvtxCKjKFkduIXpmiih08Fvho3h6kNBnESds_LDXkykeZYrJ1qViPt-DcmT13R1TyqU7pURuoa2Y6cKZQZow2nTNhekTRvF1VwJ6KeXmfNDbqaUenl56-NreCBiIFDAKypR5_SOC-1xu53PHINGwwTc0P2m2pSd8rUDC57HIRsWEWoubt1rbYuCbsxRVGhlYrXpxw==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting model resolver**\\n\\nI think I need to take a closer look at the lines in model-resolver.js. It’s likely important to understand how it’s functioning or potentially troubleshoot it if something’s not working as expected. Each line could have a significant role, so I want to make sure I’m being thorough. Once I check it out, I’ll have a better sense of how to proceed. Let's dig into that!\"}]}"},{"type":"toolCall","id":"call_55VL7yUWjYt8Y7Bgz2VRvJf2|fc_0f48e77c48749cb1016a176a29216c819b9d7c53edca0a3ef6","name":"bash","arguments":{"command":"set -e\nTMP=$(mktemp -d)\ncd \"$TMP\"\nURL=$(curl -s https://registry.npmjs.org/@mariozechner/pi-coding-agent/latest | jq -r '.dist.tarball')\ncurl -L -s \"$URL\" -o pkg.tgz\ntar -xzf pkg.tgz\nsed -n '1,120p' package/dist/core/model-resolver.js\n","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":14338,"output":126,"cacheRead":20992,"cacheWrite":0,"totalTokens":35456,"cost":{"input":0.035845,"output":0.00189,"cacheRead":0.005248,"cacheWrite":0,"total":0.04298300000000001}},"stopReason":"toolUse","timestamp":1779919398341,"responseId":"resp_0f48e77c48749cb1016a176a268dc4819b9717f0a92145fa75"}}
{"type":"message","id":"18dc250a","parentId":"bce7d377","timestamp":"2026-05-27T22:03:22.230Z","message":{"role":"toolResult","toolCallId":"call_55VL7yUWjYt8Y7Bgz2VRvJf2|fc_0f48e77c48749cb1016a176a29216c819b9d7c53edca0a3ef6","toolName":"bash","content":[{"type":"text","text":"/**\n * Model resolution, scoping, and initial selection\n */\nimport { modelsAreEqual } from \"@mariozechner/pi-ai\";\nimport chalk from \"chalk\";\nimport { minimatch } from \"minimatch\";\nimport { isValidThinkingLevel } from \"../cli/args.js\";\nimport { DEFAULT_THINKING_LEVEL } from \"./defaults.js\";\n/** Default model IDs for each known provider */\nexport const defaultModelPerProvider = {\n    \"amazon-bedrock\": \"us.anthropic.claude-opus-4-6-v1\",\n    anthropic: \"claude-opus-4-7\",\n    openai: \"gpt-5.4\",\n    \"azure-openai-responses\": \"gpt-5.4\",\n    \"openai-codex\": \"gpt-5.5\",\n    deepseek: \"deepseek-v4-pro\",\n    google: \"gemini-3.1-pro-preview\",\n    \"google-vertex\": \"gemini-3.1-pro-preview\",\n    \"github-copilot\": \"gpt-5.4\",\n    openrouter: \"moonshotai/kimi-k2.6\",\n    \"vercel-ai-gateway\": \"zai/glm-5.1\",\n    xai: \"grok-4.20-0309-reasoning\",\n    groq: \"openai/gpt-oss-120b\",\n    cerebras: \"zai-glm-4.7\",\n    zai: \"glm-5.1\",\n    mistral: \"devstral-medium-latest\",\n    minimax: \"MiniMax-M2.7\",\n    \"minimax-cn\": \"MiniMax-M2.7\",\n    moonshotai: \"kimi-k2.6\",\n    \"moonshotai-cn\": \"kimi-k2.6\",\n    huggingface: \"moonshotai/Kimi-K2.6\",\n    fireworks: \"accounts/fireworks/models/kimi-k2p6\",\n    opencode: \"kimi-k2.6\",\n    \"opencode-go\": \"kimi-k2.6\",\n    \"kimi-coding\": \"kimi-for-coding\",\n    \"cloudflare-workers-ai\": \"@cf/moonshotai/kimi-k2.6\",\n    \"cloudflare-ai-gateway\": \"workers-ai/@cf/moonshotai/kimi-k2.6\",\n    xiaomi: \"mimo-v2.5-pro\",\n    \"xiaomi-token-plan-cn\": \"mimo-v2.5-pro\",\n    \"xiaomi-token-plan-ams\": \"mimo-v2.5-pro\",\n    \"xiaomi-token-plan-sgp\": \"mimo-v2.5-pro\",\n};\n/**\n * Helper to check if a model ID looks like an alias (no date suffix)\n * Dates are typically in format: -20241022 or -20250929\n */\nfunction isAlias(id) {\n    // Check if ID ends with -latest\n    if (id.endsWith(\"-latest\"))\n        return true;\n    // Check if ID ends with a date pattern (-YYYYMMDD)\n    const datePattern = /-\\d{8}$/;\n    return !datePattern.test(id);\n}\n/**\n * Find an exact model reference match.\n * Supports either a bare model id or a canonical provider/modelId reference.\n * When matching by bare id, ambiguous matches across providers are rejected.\n */\nexport function findExactModelReferenceMatch(modelReference, availableModels) {\n    const trimmedReference = modelReference.trim();\n    if (!trimmedReference) {\n        return undefined;\n    }\n    const normalizedReference = trimmedReference.toLowerCase();\n    const canonicalMatches = availableModels.filter((model) => `${model.provider}/${model.id}`.toLowerCase() === normalizedReference);\n    if (canonicalMatches.length === 1) {\n        return canonicalMatches[0];\n    }\n    if (canonicalMatches.length > 1) {\n        return undefined;\n    }\n    const slashIndex = trimmedReference.indexOf(\"/\");\n    if (slashIndex !== -1) {\n        const provider = trimmedReference.substring(0, slashIndex).trim();\n        const modelId = trimmedReference.substring(slashIndex + 1).trim();\n        if (provider && modelId) {\n            const providerMatches = availableModels.filter((model) => model.provider.toLowerCase() === provider.toLowerCase() &&\n                model.id.toLowerCase() === modelId.toLowerCase());\n            if (providerMatches.length === 1) {\n                return providerMatches[0];\n            }\n            if (providerMatches.length > 1) {\n                return undefined;\n            }\n        }\n    }\n    const idMatches = availableModels.filter((model) => model.id.toLowerCase() === normalizedReference);\n    return idMatches.length === 1 ? idMatches[0] : undefined;\n}\n/**\n * Try to match a pattern to a model from the available models list.\n * Returns the matched model or undefined if no match found.\n */\nfunction tryMatchModel(modelPattern, availableModels) {\n    const exactMatch = findExactModelReferenceMatch(modelPattern, availableModels);\n    if (exactMatch) {\n        return exactMatch;\n    }\n    // No exact match - fall back to partial matching\n    const matches = availableModels.filter((m) => m.id.toLowerCase().includes(modelPattern.toLowerCase()) ||\n        m.name?.toLowerCase().includes(modelPattern.toLowerCase()));\n    if (matches.length === 0) {\n        return undefined;\n    }\n    // Separate into aliases and dated versions\n    const aliases = matches.filter((m) => isAlias(m.id));\n    const datedVersions = matches.filter((m) => !isAlias(m.id));\n    if (aliases.length > 0) {\n        // Prefer alias - if multiple aliases, pick the one that sorts highest\n        aliases.sort((a, b) => b.id.localeCompare(a.id));\n        return aliases[0];\n    }\n    else {\n        // No alias found, pick latest dated version\n        datedVersions.sort((a, b) => b.id.localeCompare(a.id));\n        return datedVersions[0];\n    }\n}\nfunction buildFallbackModel(provider, modelId, availableModels) {\n"}],"isError":false,"timestamp":1779919402230}}
{"type":"message","id":"d0f8628c","parentId":"18dc250a","timestamp":"2026-05-27T22:03:27.905Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Clarifying npm version support**\n\nI need to provide a concise answer that clearly says yes and backs it up with evidence. I want to mention that the latest upstream version is npm 0.73.1, but I have 0.74.0 installed locally. There isn’t a README in the online repo/docs, but the package source does have a built-in provider. I could also mention that it’s officially supported in the code, although that’s not prominently documented.","thinkingSignature":"{\"id\":\"rs_0f48e77c48749cb1016a176a2aeb14819bbbd97b53a882fce0\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqF2ovJyYM9ZkZNAnwjTPzkUPrY5wbcTlRHXCMUdsZhwdcE3uyPBJk497vEup-qfGP6ZLOXauX40JXSyAXc7LlKi8BHw8mLNI0Leku02WX_-7g0byEQNNF8HvSa5VRrqZ_ykwWIi49FMl6Lko5JepfaC2eL9z7nBnhGn1WIYr1eedezaZ6jlPRKTKzbwz_4iLcxzWhgjpheusjwP2dgIcGqiT4nhyTqCoNL1layltdQgOw58mux9ssE__EMC_2ojCfiM34UE22FCkjFmYmNZ3ecY9k1S618myJVvGomdR3rgh9sihoX6juSMOETxPHaGOpA51zsWdeSI1gJiXC3CX8l8xnvnRMFRlvHk9l7pWqFIYMlnu6CbcZeNWQYzpp8JB-4Wi5DPZzFw1pYBWiCbmYC0v0T6nbEcfQVgSpBhAQMnCXWzfJ-ptPgqVv4BsYRE_XdThJL9-cxndg8Y5zh0eH7JtHmqz5i2M1Qqv9FBiGei5CwNtrFCOJYs8GZV-qVM5-9PPYQV2RThxMCDYZ5YW7-_qbB2lejSZ2EShRvwh9dYcywYIf90nPwfz7v2iDIxeV9wLeMGpUsXIlp92r5-86Df8AV0khBXOzmDncTypuZQdigyR5MdmiVyNU253lkcE1bWA7BRgCYtal5XDSTQsotqUvEK7_EQyEOWwrveMqAvrH-z8vKv_xMzPbntfZlQfZh-jEnP_93fh_TJmN4NfqZ_5TETFbUtGDvPz9byp8Y3dXAS4KDQRl96Co8r2QrRzibnRYbwEkc2XV-_ZrTPh6oIT_aSAsfpSSn3lXfpCDRMT5kTYdlBWOgntZq9UCMpjUUVbDBbB1ZFpWaIwJN-ILKbgvd4O2_XjthDEzhoKFJ11SAdKG7FPzK3R44KJQhZ4B6DIR0rtTqNcqPOymjXoeWTrGU7TfmfOvF2M64oE1jyvJRvKgyp1hJhrw0nPZPX2FYVNFDVTPcT8C9hXLTuRDCk-uwRQ5NSU1N_xKnYQxV332UjET0rtd-Xs04YAxvjp9CeFb12OGj3M3yL2KpAZQfQdNOVB8avcf0sM85rHa6F-pMDNmJUPVNbt9q7jC2YIqakNLKUWREREvlD7HWgdZbdRCOP4SyzCTBCwjExeqWvFlOK6hh-4XSc_zE-HtIcA2PFpfx8ILTaSc1K2305x44SOf7NF8gX-0tCVJBt3BePcBCjaOEUpyER8bP92sUYr8lB4HmGKKQg_5IVGWUAfHGipozEInGb3Kgvo52_MHXK7n-agCv8_iFNuU-X6zEL_Iccwd\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Clarifying npm version support**\\n\\nI need to provide a concise answer that clearly says yes and backs it up with evidence. I want to mention that the latest upstream version is npm 0.73.1, but I have 0.74.0 installed locally. There isn’t a README in the online repo/docs, but the package source does have a built-in provider. I could also mention that it’s officially supported in the code, although that’s not prominently documented.\"}]}"},{"type":"text","text":"Yes.\n\nUpstream check says **DeepSeek is built-in / officially supported**.\n\nProof:\n- `pi --help` lists:\n  - `DEEPSEEK_API_KEY`\n  - `--provider deepseek`\n- Upstream package source has built-in provider name:\n  - `deepseek: \"DeepSeek\"`\n- Upstream default model map includes:\n  - `deepseek -> deepseek-v4-pro`\n\nOnline upstream package:\n- npm latest seen: `@mariozechner/pi-coding-agent 0.73.1`\n- local install here: `pi 0.74.0`\n\nOne nuance:\n- It looks **supported in code/CLI**.\n- It is **not prominently documented** in README/sdk docs from what I checked.\n\nIf you want, next I can tell you the exact command to use it on this Pi.","textSignature":"{\"v\":1,\"id\":\"msg_0f48e77c48749cb1016a176a2f7d50819b9ab2870cc7c75e30\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1924,"output":243,"cacheRead":34816,"cacheWrite":0,"totalTokens":36983,"cost":{"input":0.00481,"output":0.0036450000000000002,"cacheRead":0.008704,"cacheWrite":0,"total":0.017159}},"stopReason":"stop","timestamp":1779919402231,"responseId":"resp_0f48e77c48749cb1016a176a2a6794819ba76ff8e30571e6c3"}}
{"type":"message","id":"96a4518b","parentId":"d0f8628c","timestamp":"2026-05-28T09:13:57.408Z","message":{"role":"user","content":[{"type":"text","text":"/new"}],"timestamp":1779959637395}}
{"type":"message","id":"f99a5b39","parentId":"96a4518b","timestamp":"2026-05-28T09:14:01.174Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0f48e77c48749cb1016a180757eac8819bbda1c52255e1f9a0\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqGAdYMdusWzJC5_FQAKDypzdTZLBaAm2BjjaimT14rICF3zyYQkO4zJpp0ph6DBLk9N9BLuSL7KwA44tIpAiv8zcAVgNobjub9UYxmPPbrGRgn0xQUN4oZFPwe8tKSyxiSBMZ4qNWCIt4XaQZcaiBJmVXUt64Cnv74y2gKafoiumdnW-XqZMB0rC-xuSadL7jdauuZIlpvblVVie8x3Sbtq3yAuUzk2d2stoFHdrkoJUNSBAXHbdRUSrjmpJ3YeZG-o7w74G_j6S5UhesLIxb69j6Tq165XPs-mOGTIlbzt3oWsjuGkaW2F_R64w2FXbNapJJOaESln3GrN_J53gA7PjTJofNzllepCLa0VwzV3Ar4SDSmYi22N-z0-FWCGQ1JyK9FXG4CQw-tasGmldIhiBuENp8oGLcGkpAVHQ5mP9azQ6oiDMwFjzJRhJGVHQK5sj1tkAmXcXhdFcBUsoJaaEgcnk9bJCwrqpg9HV5eeXDHsHC1kJif9TC-57ds9lQY9wZAsl6SPOoNwmEdeYzdcp3_vkh7wPw95dnLVo1GZ68qKU8IRQpiectUIFhUaxotxmw50CsJGNEQAqsg2kbih45nz1p1sGI0UKoBLPYb86AylGZWHKUnFqvBYSHbQAC1p3bnk6NCIJN6GeWQOXI0eSnFnXvvjhMXWfLGSzctytyHF5BeFXgbCDeTjQrykmjfTYf2o2-7iwMwi0v3E5y3QKCZ1CO4bgerVHXlbV2xNjdsRTq95LG3FZqXLwjAWTtEKnhz4lAG4mc4_Vd8bL77JXIDuH8cJEcPV2L4o12hjxsmCyOkZ74B5DsapXQXcna1lnIZ8k5yd1IJuv9F754JWsuuHfdO3PGoBjus_n6VZOhUF1AKAI96H2KtxDpq49NtvXilzbteh3JUAc2MzrCUBsQtvDH6IAAyodQRRT9cVg4koVXu_4LSakRVFCfq5RHPs95t4cif1A7dIjlOMqvLdqbYKnszmD2Y_dNfZh7DhiJUHrWcDoLzlHqxtIv0gJBDS6eGKE4iS69iMMld1-cyfmqiXaO9c6WmziJQ_e3O0MI4Ww=\",\"summary\":[]}"},{"type":"toolCall","id":"call_PxMjbwICNb79ANLGqwtFs8bX|fc_0f48e77c48749cb1016a180758e448819bb950c62852052a45","name":"bash","arguments":{"command":"/home/sebas/pi-config/bin/pi-telegram-new-session","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":36663,"output":59,"cacheRead":0,"cacheWrite":0,"totalTokens":36722,"cost":{"input":0.0916575,"output":0.000885,"cacheRead":0,"cacheWrite":0,"total":0.0925425}},"stopReason":"toolUse","timestamp":1779959637399,"responseId":"resp_0f48e77c48749cb1016a180757090c819bb454b347f77557b8"}}
{"type":"message","id":"cf69d239","parentId":"f99a5b39","timestamp":"2026-05-28T09:14:01.186Z","message":{"role":"toolResult","toolCallId":"call_PxMjbwICNb79ANLGqwtFs8bX|fc_0f48e77c48749cb1016a180758e448819bb950c62852052a45","toolName":"bash","content":[{"type":"text","text":"queued new Telegram Pi session: pi-telegram\n"}],"isError":false,"timestamp":1779959641186}}
{"type":"message","id":"1f6b29ae","parentId":"cf69d239","timestamp":"2026-05-28T09:14:02.153Z","message":{"role":"assistant","content":[{"type":"text","text":"Started new Telegram session.","textSignature":"{\"v\":1,\"id\":\"msg_0f48e77c48749cb1016a180759e3bc819bb9a6667ea21d4119\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":391,"output":9,"cacheRead":36352,"cacheWrite":0,"totalTokens":36752,"cost":{"input":0.0009775,"output":0.000135,"cacheRead":0.009087999999999999,"cacheWrite":0,"total":0.0102005}},"stopReason":"stop","timestamp":1779959641187,"responseId":"resp_0f48e77c48749cb1016a1807595598819b833c83d5424ee6ea"}}
{"type":"message","id":"7db7bc1b","parentId":"1f6b29ae","timestamp":"2026-05-28T09:14:02.165Z","message":{"role":"user","content":[{"type":"text","text":"[telegram] resume ftp investigation for ballbox. Since we need a password, look if theres a default online or try 888888"}],"timestamp":1779959642157}}
