{ "session_id": "20260524_090606_81e66663", "model": "deepseek-v4-pro", "base_url": "https://ollama.com/v1", "platform": "telegram", "session_start": "2026-05-24T09:08:54.670844", "last_updated": "2026-05-24T09:20:51.267910", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [90% — 1,981/2,200 chars]\n══════════════════════════════════════════════\nGateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\n§\n`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\n§\nPrintVault: /media/HDD_1TB/PrintVault/, port 3001, rebuild on code changes. NEVER delete .py files from hermes-agent/ — triggers ModuleNotFoundError cascade. Recover with `git restore .`.\n§\nZimaOS Docker: `docker --config /tmp/docker-config compose` für CasaOS-Apps. Build: `compose build --no-cache` dann `compose up -d`. Legacy-Problem vermeiden: niemals nacktes `docker run`, immer über compose aus dem App-Verzeichnis (/var/lib/casaos/apps//). CallKeep: /media/HDD_1TB/CallKeep/, Port 3002, API via curl localhost:3002. POST /api/kiwi/log-call?contact_name=... loggt Anrufe. Dashboard: GET /api/dashboard.\n§\nAhmed uses Ollama Cloud Pro ($20/mo, NOT local Ollama). Base URL: https://ollama.com/v1. 3 concurrent model limit. Setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary + CCR coding), gemma3:4b (vision). Never add 4th model (404).\n§\nKiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \"SCHEDULE\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\n§\nGateway recovery: check TELEGRAM_BOT_TOKEN + TELEGRAM_ALLOWED_USERS in /DATA/.hermes/.env, gateway section in /DATA/AppData/hermes/config.yaml, stale PID/lock in /DATA/AppData/hermes/.\n§\nGoogle Workspace OAuth ready: GAPI=python3 /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py. Token at /DATA/.hermes/google_token.json. Gmail: ahmed.aytac@gmail.com. All scopes granted.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,367/1,375 chars]\n══════════════════════════════════════════════\nProject dirs: /DATA/AppData/hermes/projects/ and /DATA/AppData/hermes/work/. (Note: \"Projekte\" folder deleted — now using \"projects\" exclusively.)\n§\nUser: Ahmed Zeyd Aytac. Calls me 'Kiwi'. Wants to be addressed as 'Boss' or 'Chef' — never 'Ahmed'. If using his name, use 'Zeyd' only.\n§\nUser's location is Wien (Vienna), Austria. When asked about weather, use this location by default.\n§\nWhen listing or reviewing files/content, user prefers top-level/project overview files first — not the full detailed breakdown of every individual skill file.\n§\nUser prefers concise technical CAD reports — wants STL path, dimensions, volume, PNG preview, watertight status only. Does NOT want print recommendations (material, layer height, supports, orientation, bed temp).\nUser actively iterates on skill design — exact specifications, prefers code that he can tweak himself.\n§\nUser does not want end-of-session skill reviews. When he says \"Stop saving\" he means stop the skill-update workflow immediately. Do not ask to review or save skills at session end.\n§\nUser wants YOLO mode permanently on — `approvals.mode: off` set in config.yaml. Never ask for command approval; just execute. (Doesn't override hardline blocklist: reboot, shutdown still blocked.)\n§\nUser wants responses without any header/separator lines (\"Text überhalb von den Linien\"). Clean, direct messages only.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n 3d-printing:\n - 3d-druck-kiwi: Vollständiger Workflow zum Erstellen druckbarer 3D-Modell...\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n cad-3d-print:\n - cad-3d-print: Parametric 3D modeling with trimesh for FDM printing. Gen...\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n maker-electronics:\n - esp32-desk-dashboard: ESP32-basierte Desk-Dashboards mit AMOLED, LVGL und BLE. ...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - media-file-management: Organize and normalize local media files (movies, TV show...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-automation: Zero-cost headless YouTube video factory: Reddit sourcing...\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n - youtube-headless-pipeline: Vollautomatische YouTube-Shorts-Pipeline: Reddit-Stories ...\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - daily-dose: Modify DailyDose (täglicher Aktivitäten-Tracker PWA) — Ka...\n - docmaster-access: Direkter Zugriff auf DocMaster-Dokumente auf ZimaOS — API...\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API via curl: pages, databases, blocks, search.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n - zimaos-web-app: Build small single-file web apps for ZimaOS using FastAPI...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Sunday, May 24, 2026 09:06 AM\nModel: deepseek-v4-pro\nProvider: custom\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format ![alt](url) and they will be sent as native photos.", "tools": [ { "type": "function", "function": { "name": "clarify", "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.", "parameters": { "type": "object", "properties": { "question": { "type": "string", "description": "The question to present to the user." }, "choices": { "type": "array", "items": { "type": "string" }, "maxItems": 4, "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option." } }, "required": [ "question" ] } } }, { "type": "function", "function": { "name": "cronjob", "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "description": "One of: create, list, update, pause, resume, remove, run" }, "job_id": { "type": "string", "description": "Required for update/pause/resume/remove/run" }, "prompt": { "type": "string", "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills." }, "schedule": { "type": "string", "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp" }, "name": { "type": "string", "description": "Optional human-friendly name" }, "repeat": { "type": "integer", "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)." }, "deliver": { "type": "string", "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), or platform:chat_id:thread_id for a specific destination. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting." }, "skills": { "type": "array", "items": { "type": "string" }, "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills." }, "model": { "type": "object", "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.", "properties": { "provider": { "type": "string", "description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:' for a provider defined in custom_providers config — always include the ':' suffix, never pass the bare 'custom'). Omit to use and pin the current provider." }, "model": { "type": "string", "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')" } }, "required": [ "model" ] }, "script": { "type": "string", "description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear." }, "no_agent": { "type": "boolean", "default": false, "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content." }, "context_from": { "type": "array", "items": { "type": "string" }, "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear." }, "enabled_toolsets": { "type": "array", "items": { "type": "string" }, "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear." }, "workdir": { "type": "string", "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated." } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "delegate_task", "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to delegation.max_concurrent_children items (default 3, configurable via config.yaml, no hard ceiling). All run concurrently and results are returned together. Nested delegation requires role='orchestrator' and delegation.max_spawn_depth >= 2.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by delegation.max_spawn_depth (default 2) and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.", "parameters": { "type": "object", "properties": { "goal": { "type": "string", "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history." }, "context": { "type": "string", "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs." }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks." }, "tasks": { "type": "array", "items": { "type": "object", "properties": { "goal": { "type": "string", "description": "Task goal" }, "context": { "type": "string", "description": "Task-specific context" }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets for this specific task. Available: 'browser', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction." }, "acp_command": { "type": "string", "description": "Per-task ACP command override (e.g. 'claude'). Overrides the top-level acp_command for this task only." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Per-task ACP args override." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Per-task role override. See top-level 'role' for semantics." } }, "required": [ "goal" ] }, "description": "Batch mode: tasks to run in parallel (limit configurable via delegation.max_concurrent_children, default 3). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Requires delegation.max_spawn_depth >= 2 in config; ignored (treated as 'leaf') when the child would exceed max_spawn_depth or when delegation.orchestrator_enabled=false." }, "acp_command": { "type": "string", "description": "Override ACP command for child agents (e.g. 'claude', 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Enables spawning Claude Code (claude --acp --stdio) or other ACP-capable agents from any parent, including Discord/Telegram/CLI." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Example: ['--acp', '--stdio', '--model', 'claude-opus-4-6']" } } } } }, { "type": "function", "function": { "name": "execute_code", "description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures", "parameters": { "type": "object", "properties": { "code": { "type": "string", "description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout." } }, "required": [ "code" ] } } }, { "type": "function", "function": { "name": "memory", "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "add", "replace", "remove" ], "description": "The action to perform." }, "target": { "type": "string", "enum": [ "memory", "user" ], "description": "Which memory store: 'memory' for personal notes, 'user' for user profile." }, "content": { "type": "string", "description": "The entry content. Required for 'add' and 'replace'." }, "old_text": { "type": "string", "description": "Short unique substring identifying the entry to replace or remove." } }, "required": [ "action", "target" ] } } }, { "type": "function", "function": { "name": "patch", "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nReplace mode (default): find a unique string and replace it.\nPatch mode: apply V4A multi-file patches for bulk changes.", "parameters": { "type": "object", "properties": { "mode": { "type": "string", "enum": [ "replace", "patch" ], "description": "Edit mode: 'replace' for targeted find-and-replace, 'patch' for V4A multi-file patches", "default": "replace" }, "path": { "type": "string", "description": "File path to edit (required for 'replace' mode)" }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'replace' mode). Must be unique in the file unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'replace' mode). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "Replace all occurrences instead of requiring a unique match (default: false)", "default": false }, "patch": { "type": "string", "description": "V4A format patch content (required for 'patch' mode). Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch" } }, "required": [ "mode" ] } } }, { "type": "function", "function": { "name": "process", "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list", "poll", "log", "wait", "kill", "write", "submit", "close" ], "description": "Action to perform on background processes" }, "session_id": { "type": "string", "description": "Process session ID (from terminal background output). Required for all actions except 'list'." }, "data": { "type": "string", "description": "Text to send to process stdin (for 'write' and 'submit' actions)" }, "timeout": { "type": "integer", "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.", "minimum": 1 }, "offset": { "type": "integer", "description": "Line offset for 'log' action (default: last 200 lines)" }, "limit": { "type": "integer", "description": "Max lines to return for 'log' action", "minimum": 1 } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "read_file", "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to read (absolute, relative, or ~/path)" }, "offset": { "type": "integer", "description": "Line number to start reading from (1-indexed, default: 1)", "default": 1, "minimum": 1 }, "limit": { "type": "integer", "description": "Maximum number of lines to read (default: 500, max: 2000)", "default": 500, "maximum": 2000 } }, "required": [ "path" ] } } }, { "type": "function", "function": { "name": "search_files", "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.", "parameters": { "type": "object", "properties": { "pattern": { "type": "string", "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search" }, "target": { "type": "string", "enum": [ "content", "files" ], "description": "'content' searches inside file contents, 'files' searches for files by name", "default": "content" }, "path": { "type": "string", "description": "Directory or file to search in (default: current working directory)", "default": "." }, "file_glob": { "type": "string", "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)" }, "limit": { "type": "integer", "description": "Maximum number of results to return (default: 50)", "default": 50 }, "offset": { "type": "integer", "description": "Skip first N results for pagination (default: 0)", "default": 0 }, "output_mode": { "type": "string", "enum": [ "content", "files_only", "count" ], "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file", "default": "content" }, "context": { "type": "integer", "description": "Number of context lines before and after each match (grep mode only)", "default": 0 } }, "required": [ "pattern" ] } } }, { "type": "function", "function": { "name": "send_message", "description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "send", "list" ], "description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms." }, "target": { "type": "string", "description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:' (DM), 'yuanbao:group:' (group chat)" }, "message": { "type": "string", "description": "The message text to send. To send an image or file, include MEDIA: (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment." } } } } }, { "type": "function", "function": { "name": "session_search", "description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)." }, "role_filter": { "type": "string", "description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs." }, "limit": { "type": "integer", "description": "Max sessions to summarize (default: 3, max: 5).", "default": 3 } } } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } }, { "type": "function", "function": { "name": "terminal", "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n", "parameters": { "type": "object", "properties": { "command": { "type": "string", "description": "The command to execute on the VM" }, "background": { "type": "boolean", "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.", "default": false }, "timeout": { "type": "integer", "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.", "minimum": 1 }, "workdir": { "type": "string", "description": "Working directory for this command (absolute path). Defaults to the session working directory." }, "pty": { "type": "boolean", "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.", "default": false }, "notify_on_complete": { "type": "boolean", "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.", "default": false }, "watch_patterns": { "type": "array", "items": { "type": "string" }, "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both." } }, "required": [ "command" ] } } }, { "type": "function", "function": { "name": "text_to_speech", "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.), not model-selected.", "parameters": { "type": "object", "properties": { "text": { "type": "string", "description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated." }, "output_path": { "type": "string", "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/.mp3" } }, "required": [ "text" ] } } }, { "type": "function", "function": { "name": "todo", "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.", "parameters": { "type": "object", "properties": { "todos": { "type": "array", "description": "Task items to write. Omit to read current list.", "items": { "type": "object", "properties": { "id": { "type": "string", "description": "Unique item identifier" }, "content": { "type": "string", "description": "Task description" }, "status": { "type": "string", "enum": [ "pending", "in_progress", "completed", "cancelled" ], "description": "Current status" } }, "required": [ "id", "content", "status" ] } }, "merge": { "type": "boolean", "description": "true: update existing items by id, add new ones. false (default): replace the entire list.", "default": false } } } } }, { "type": "function", "function": { "name": "vision_analyze", "description": "Inspect an image from a URL, file path, or tool output when you need closer detail than what's visible in the conversation. If the user's image is already attached to the conversation and you can see it, just answer directly — only call this tool for images referenced by URL/path, images returned inside other tool results (browser screenshots, search thumbnails), or when you need a deeper look at a specific region the main model's vision may have missed.", "parameters": { "type": "object", "properties": { "image_url": { "type": "string", "description": "Image URL (http/https) or local file path to analyze." }, "question": { "type": "string", "description": "Your specific question or request about the image to resolve. The AI will automatically provide a complete image description AND answer your specific question." } }, "required": [ "image_url", "question" ] } } }, { "type": "function", "function": { "name": "write_file", "description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)" }, "content": { "type": "string", "description": "Complete content to write to the file" } }, "required": [ "path", "content" ] } } } ], "message_count": 135, "messages": [ { "role": "user", "content": "Du kannst subagents spawnen oder? Erkläre mir das Konzept bitte" }, { "role": "assistant", "content": "Ja, kann ich. Das Konzept ist einfach:\n\n**Was sind Subagents?**\n\nDas sind isolierte KI-Arbeiter, die ich parallel losschicken kann. Jeder bekommt eine eigene Session mit eigenem Terminal, eigenem Kontext — komplett getrennt von meinem.\n\n**Wie funktioniert's?**\n\nIch rufe `delegate_task` auf mit:\n- **goal** — was der Subagent tun soll (z.B. \"Finde alle Bugs in /app/src\")\n- **context** — Hintergrundinfos, die er braucht (Dateipfade, Fehler, Constraints)\n- **toolsets** — welche Werkzeuge er kriegt (terminal, web, file…)\n\nDer Subagent arbeitet dann autark, und am Ende kriege ich nur die Zusammenfassung zurück. Alle Zwischenschritte (Tool-Outputs, Logs) landen nie in meinem Kontextfenster.\n\n**Zwei Modi:**\n\n1. **Single** — ein Subagent, eine Aufgabe\n2. **Batch** — bis zu X Subagents parallel (standardmäßig 3), alle gleichzeitig\n\n**Wann sinnvoll?**\n- Schwere Denkarbeit, die viel Kontext frisst (Debugging, Code-Review)\n- Mehrere unabhängige Tasks parallel (Recherche A + Recherche B gleichzeitig)\n- Tasks, deren Zwischenergebnisse mich nicht interessieren\n\n**Wann NICHT?**\n- Einfache Tool-Calls (direkt aufrufen)\n- Tasks, die User-Feedback brauchen (Subagents können kein `clarify`)\n- Langlebige Dinge, die über den aktuellen Turn hinausgehen → dafür `cronjob`\n\n**Wichtige Einschränkung:** Subagents sind *synchron* — wenn der aktuelle Turn endet (du schreibst eine neue Nachricht), wird der Subagent abgebrochen. Nichts läuft im Hintergrund weiter.\n\nDas ist quasi \"Outsource & vergessen\" für Denkarbeit — ich krieg nur das Ergebnis, nicht den ganzen Rechenweg.", "reasoning": "The user is asking me to explain the concept of subagents (delegate_task). Let me load the relevant skill first since there's an autonomous-ai-agents category with relevant skills.\n\nActually, let me just explain it directly. I don't necessarily need a skill for this - it's a straightforward question about the tool's functionality. But let me check if there's a relevant skill that might have more context about how the user likes things explained.\n\nThe question is: \"Du kannst subagents spawnen oder? Erkläre mir das Konzept bitte\" - \"You can spawn subagents, right? Explain the concept to me please.\"\n\nLet me just explain it clearly and directly. The user prefers concise responses." }, { "role": "user", "content": "Haben wir das schonmal genutzt?" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_44myfd0e", "call_id": "call_44myfd0e", "response_item_id": "fc_44myfd0e", "type": "function", "function": { "name": "session_search", "arguments": "{\"query\":\"delegate_task OR subagent OR parallel workers\",\"limit\":5}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Benutzer fragt, ob wir Subagents/delegate_task schon einmal genutzt haben. Ich sollte in den vergangenen Sessions danach suchen.", "reasoning_content": "Der Benutzer fragt, ob wir Subagents/delegate_task schon einmal genutzt haben. Ich sollte in den vergangenen Sessions danach suchen." }, { "role": "tool", "content": "{\"success\": true, \"query\": \"delegate_task OR subagent OR parallel workers\", \"results\": [{\"session_id\": \"20260520_184117_e83b963e\", \"when\": \"May 20, 2026 at 06:41 PM\", \"source\": \"telegram\", \"model\": \"deepseek-v4-pro\", \"summary\": \"**Summary**\\n\\nThe user sought to replace their Anthropic Codex subscription with a self-hosted stack by routing Claude Code through local models via the Claude Code Router (CCR) on ZimaOS. A key objective was enabling **subagent delegation** so the primary assistant (Hermes) could spawn Claude Code as a background worker for coding tasks.\\n\\n**What was accomplished**\\n\\n1. **Claude Code Router Installation & Setup** — Node.js v22.12.0, Claude Code v2.1.145, and CCR v1.0.51 were installed under `/DATA/.local/`. CCR was configured to proxy to Ollama Cloud models: `deepseek-v4-pro` (default), `kimi-k2.6` (reasoning), and `gemma3:4b` (background). The service was enabled as a systemd unit (`claude-code-router.service`) listening on `0.0.0.0:3456`.\\n\\n2. **Subagent/Delegation Attempts**\\n - **First attempt via `delegate_task` failed.** The transcript shows a direct `delegate_task(acp_command='claude')` call returned: *“Could not start Copilot ACP command 'claude'. Install GitHub Copilot CLI or set HERMES_COPILOT_ACP_COMMAND/COPILOT_CLI_PATH.”* The subagent environment lacked the required `PATH` to the `claude` binary.\\n - **Fallback to explicit background terminal subagent succeeded.** The assistant spawned Claude Code directly as a background process with environment overrides:\\n ```bash\\n export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\"\\n HOME=/DATA/.local TERM=dumb ccr code --add-dir /media/HDD_1TB/PrintVault \\\\\\n --permission-mode bypassPermissions -p \\\"Implementiere Idee #7...\\\" < /dev/null\\n ```\\n - **First background process (proc_eed57d1437c4, pid 1940380)** stalled with a “no stdin data received in 3s” warning from Claude Code and produced no code changes.\\n - **Second background process (proc_f5e13200b5e4, pid 1945529)** was launched with the stdin redirect (`< /dev/null`) and `TERM=dumb`, which completed successfully.\\n\\n3. **Work Delivered by the Subagent**\\n - *Analysis phase:* The subagent read `/media/HDD_1TB/PrintVault/main.py` and `/media/HDD_1TB/PrintVault/frontend/index.html` and produced 10 improvement ideas (7 UI-focused, 3 backend).\\n - *Implementation phase:* The user requested the subagent implement **Idea #7 (Trash UI / Papierkorb)**. The subagent edited the two existing files directly:\\n - **Backend (`main.py`):** Added 4 new endpoints: `GET /api/trash`, `POST /api/trash/{filename}/restore`, `DELETE /api/trash/{filename}`, and `GET /api/trash-thumbs/{filename}`. It also created restore logic that moves files back from `/trash` to `/stls` and `/thumbs`, with collision handling via new UUID generation.\\n - **Frontend (`index.html`):** Added a Trash icon button with badge counter in the header, view-toggle tabs (“Bibliothek | Papierkorb”), greyed-out trash cards with hover actions, a confirmation modal for permanent deletion, empty-state messaging, and dark-mode/mobile support.\\n\\n4. **Key Technical Details**\\n - **File paths:** `/media/HDD_1TB/PrintVault/main.py`, `/media/HDD_1TB/PrintVault/frontend/index.html`\\n - **CCR config:** Written to `/DATA/.local/.claude-code-router/config.json`\\n - **Environment aliases:** `cc` → `HOME=/DATA/.local ccr code`; `ccr-start`/`ccr-stop`/`ccr-status` for service control\\n - **Verification:** Logs confirmed the subagent used `kimi-k2.6` via CCR (`\\\"model\\\":\\\"kimi-k2.6\\\"`) rather than Anthropic models.\\n - **Result sizes:** `main.py` grew from ~654 to 788 lines; `index.html` from ~1,584 to 1,935 lines.\\n\\n**What remained unresolved**\\n- The native `delegate_task` Hermes skill integration was **not fixed**; it still requires setting `HERMES_COPILOT_ACP_COMMAND` or ensuring the subagent environment inherits the custom Node/npm `PATH`. All successful delegation in this session was done via raw terminal background processes instead of the structured `delegate_task` tool.\\n- Minor `tput: No value for $TERM` noise appeared in subagent output due to the headless shell environment, though it did not block execution.\\n\\n**Conclusion**\\nThe user achieved a fully functional Claude Code subagent workflow backed by Ollama Cloud models. The Trash UI feature was successfully designed by the assistant and implemented by a background Claude Code subagent via CCR, proving the parallel-worker/subagent concept works end-to-end, even though the native `delegate_task` wrapper still needs environment wiring.\"}, {\"session_id\": \"20260521_095746_b3bf3204\", \"when\": \"May 21, 2026 at 09:57 AM\", \"source\": \"telegram\", \"model\": \"deepseek-v4-pro\", \"summary\": \"**Summary focused on `delegate_task`, subagents, and parallel workers**\\n\\n**1. User’s objective**\\nThe user (Ahmed, via Telegram) asked to self-host the Honcho memory provider for Hermes because he had no Honcho API key. This required researching the upstream `plastic-labs/honcho` repository and implementing a local Docker- or Python-based deployment on ZimaOS.\\n\\n**2. Subagent / `delegate_task` usage**\\nRather than performing all research inline, the assistant invoked `delegate_task` to spawn a synchronous subagent whose sole goal was to inspect the Honcho repo and extract the complete self-hosting specification. The subagent ran autonomously for ~61 seconds, executed 8 internal tool calls, and returned a structured summary covering:\\n- Required services (API, deriver, PostgreSQL/pgvector, Redis)\\n- Mandatory and optional environment variables (`.env.template`)\\n- Default ports (`8000`, `5432`, `6379`)\\n- LLM provider requirements (external key needed even for self-hosting)\\n- Quick-start commands and file layout\\n\\n**3. Parallel/multi-agent architecture referenced**\\nDuring the session the `hermes-agent` skill was loaded, which documents Hermes’ multi-worker systems:\\n- **`delegate_task`**: Synchronous child spawn; parent waits for a summary. In **batch mode** (`tasks=[...]`), children run in parallel up to `delegation.max_concurrent_children` (default 3). Roles are `leaf` (cannot re-delegate) or `orchestrator` (can spawn workers, bounded by `max_spawn_depth`). Not durable—parent interruption cancels the child.\\n- **Durable alternatives for true parallel/background work**:\\n - `cronjob` (scheduled jobs with retry)\\n - `terminal(background=True, notify_on_complete=True)` (fire-and-forget shell tasks)\\n - **Kanban** (SQLite-backed multi-agent work queue with a dispatcher that claims tasks and spawns profiled workers)\\n\\n**4. Implementation outcomes and technical decisions**\\n- Based on the subagent’s findings, the assistant first attempted a full Docker Compose deployment (4 services). It created `/DATA/AppData/hermes/projects/honcho/` from the cloned repo and prepared `.env` with the user’s Ollama Cloud Pro key (`eaf9ec548a9f4f789cc2eeb0d7cc61e3.VI7OQTAxEEGB1fqyil_1oJob`) and `DB_CONNECTION_URI` pointing to the internal Docker network.\\n- **Docker blocked on ZimaOS**: Multiple failures forced abandonment of the Compose path:\\n - User `az-a` was not in the `docker` group initially, causing `permission denied` on `/var/run/docker.sock`.\\n - Read-only root filesystem prevented `sudo docker` from writing to `/root/.docker`.\\n - Docker Compose v5 required **buildx 0.17+**, which was unavailable.\\n- **Pivot to hybrid native setup**: The assistant retained Postgres (`pgvector/pgvector:pg15`) and Redis (`redis:8.2`) as containers (already running on mapped ports `127.0.0.1:5433→5432` and `6380→6379`), then pivoted to installing Honcho natively via `uv` and Python 3.12.\\n\\n**5. Key commands, paths, and technical details**\\n- **Subagent specification**: `delegate_task` used model `deepseek-v4-pro`, completed in `61.37s`, consumed `61874` input / `2269` output tokens.\\n- **Repo clone path**: `/DATA/AppData/hermes/projects/honcho/`\\n- **Config/descriptor files read by subagent**:\\n - `docker-compose.yml.example`\\n - `.env.template`\\n - `Dockerfile`\\n - `CLAUDE.md` ( discovered as subdirectory context)\\n- **Terminal workaround for ZimaOS**:`sg docker -c \\\"...\\\"` and `DOCKER_CONFIG=/tmp/docker-config` were attempted to bypass permission and read-only filesystem issues.\\n- **Background process IDs spawned**: `proc_f2f1ea359e2f`, `proc_c001f308366a`, `proc_a43273d9a75e`, `proc_f72267717dfc`, `proc_27091f6f59dd` — all either exited with code 1 or disappeared due to host constraints.\\n\\n**6. Unresolved / notable**\\n- The transcript truncated before confirming whether native Honcho (API, deriver, and worker) were successfully started via `uv run fastapi dev` and `uv run python -m src.deriver`.\\n- A **separate gateway incident** was noted: `hermes-gateway.service` had entered a restart loop because `hermes_cli/codex_models.py` and ~17 related files were manually deleted from `/DATA/AppData/hermes-agent/`, causing `ModuleNotFoundError`. The user recovered with `git restore .` and `systemctl restart hermes-gateway.service`.\\n- Docker Compose was fully abandoned; the final plan was containers for data stores only, with Honcho application logic running natively under `uv`.\"}, {\"session_id\": \"20260511_150044_d89ceffa\", \"when\": \"May 11, 2026 at 03:00 PM\", \"source\": \"telegram\", \"model\": \"kimi-k2.6\", \"summary\": \"**Session Recap: 3D-Print Skill Creation Attempt (May 11, 2026)**\\n\\n**1. User Objective**\\nThe user requested a single, \\\"perfect\\\" 3D-design skill so they could describe objects and receive files printable 1:1 on their 3D printer. They instructed the assistant to research optimal LLM-to-3D-print workflows online, install tools if necessary (e.g., Blender), delete any existing 3D design skills, and take whatever time was needed.\\n\\n**2. Actions Taken and Outcomes**\\n- **Environment Audit:** The assistant checked for Blender, `bpy`, and OpenSCAD via `terminal` calls. None were found. A `search_files` returned zero existing skills.\\n- **Preliminary Research:** Using `execute_code`, the assistant scraped GitHub (for repos like `rnmourao/llm-3dprint-anything`), Reddit, and Hacker News to identify promising workflows. It identified OpenSCAD and CadQuery as the leading candidates.\\n- **Parallel Subagent Dispatch (`delegate_task`):** After discovering `web_search` was unavailable, the assistant invoked `delegate_task` to spin up three parallel subagents for deeper research. **All three subagents timed out after 600.0 seconds**:\\n - Subagent 1: 7 API calls completed.\\n - Subagent 2: 23 API calls completed.\\n - Subagent 3: 19 API calls completed.\\n - Total delegated duration: **600.15 seconds**. None returned usable summaries.\\n- **Fallback Direct Execution:** Following the subagent failures, the assistant switched to a direct approach and created a 5-step todo list (OpenSCAD install, CadQuery install, mesh validation, old skill cleanup, skill creation).\\n\\n**3. Key Decisions and Conclusions**\\n- **Pipeline Choice:** Based on the initial scraping results—particularly the `rnmourao/llm-3dprint-anything` repository README which described an end-to-end OpenSCAD → validators → PrusaSlicer → USB-serial workflow—the assistant decided the best stack was **OpenSCAD + CadQuery + trimesh/manifold**.\\n- **No Blender:** Blender was dropped from consideration in favor of a code-first CAD approach (OpenSCAD/CadQuery) after the research phase.\\n\\n**4. Important Technical Details**\\n- **System:** ZimaOS v1.6.1, x86_64. No standard package manager (`apt-get`, `pacman`, `apk`, `zypper`) available, but `pip`, `nix`, and AppImage worked.\\n- **Python Libraries:** CadQuery 2.7.0 and cadquery-ocp 7.8.1.1.post1 were already installed in the user Python 3.12 environment. The assistant additionally ran `pip install trimesh manifold3d pillow matplotlib`, successfully installing `trimesh 4.12.2` and `manifold3d 3.4.1`.\\n- **OpenSCAD AppImage:** Downloaded via curl (`OpenSCAD-2021.01-x86_64.AppImage`). Execution failed with: \\n `/tmp/.mount_openscKKtz2V/AppRun.wrapped: error while loading shared libraries: libGL.so.1: cannot open shared object file: No such file or directory` (exit code 127).\\n- **Sandbox Mismatch:** An `execute_code` attempt to import `cadquery` inside the sandbox failed because the sandbox used Python 3.11 (`/DATA/AppData/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu`), whereas CadQuery and trimesh were installed in the Python 3.12 user site-packages (`/DATA/.local/lib/python3.12/site-packages`). `ENABLE_USER_SITE` was `False` in the sandbox.\\n- **Interrupt:** The session was interrupted by the user sending a new message during a pending terminal command.\\n\\n**5. Unresolved / Notable Issues**\\n- The three `delegate_task` subagents all timed out, yielding no research deliverables and forcing the assistant to proceed with limited preliminary data.\\n- The OpenSCAD AppImage was non-functional due to the missing `libGL.so.1` shared library.\\n- The CadQuery/trimesh toolchain was available in the user Python 3.12 environment but inaccessible from the sandboxed `execute_code` runtime (Python 3.11), complicating automated skill testing.\\n- No skill was actually created by the end of the transcript; the todo list remained partially in-progress.\"}, {\"session_id\": \"20260522_120546_e98931bf\", \"when\": \"May 22, 2026 at 12:05 PM\", \"source\": \"telegram\", \"model\": \"deepseek-v4-pro\", \"summary\": \"The user wanted to tag three German audiobook MP3s (*Schuld und Strafe*, *Karl Marx und der Fluch des Geldes*, *Maksym*) with Audible metadata and cover art, add them to Plex (later switched to Audiobookshelf), and edit the DailyDose PWA to remove a duplicate category and rename \\\"Work\\\" to \\\"YouTube\\\".\\n\\n**Parallel delegation attempts via `delegate_task` and external agents failed and were abandoned in favor of direct execution:**\\n\\n- **Audiobook metadata research:** The assistant launched two parallel `delegate_task` calls (model `deepseek-v4-pro`) to research the Karl Marx and Maksym audiobooks. Both subagents completed but returned only natural-language search suggestions (e.g. `\\\"Karl Marx und der Fluch des Geldes\\\" Hörbuch` and ``) without executing any actual tool calls (`\\\"tool_trace\\\": []`). The assistant concluded: *\\\"Die Subagents haben nur Suchbegriffe generiert, nicht tatsächlich gesucht. Ich mach die Recherchen selbst\\\"*, and switched to direct `terminal` calls.\\n- **Multitool query:** A later `delegate_task` (22.5s, deepseek-v4-pro) for the *bestes Multitool* question returned an empty `` block with no actionable output; the assistant answered from internal knowledge.\\n- **DailyDose patch via CCR:** The assistant attempted to delegate the HTML patch to the Claude Code Router (`ccr`). This failed immediately because Node.js was absent on the ZimaOS host. `execute_code` returned `/usr/bin/env: 'node': No such file or directory`, and `terminal` checks confirmed `node: command not found` in PATH `/usr/bin:/usr/sbin:/DATA/bin...`. The assistant reverted to direct `patch` edits.\\n\\n**What succeeded with direct execution:**\\n\\n- **Metadata retrieval:** Direct `terminal` commands via the `audible` CLI replaced the subagents: `audible search \\\"Karl Marx und der Fluch des Geldes\\\" --num-results 1` returned ASIN `B07DDPBX36` (79 min, Audiolino OHG); `audible search \\\"Maksym\\\" --num-results 3` returned ASIN `B0B3JJ99FM` (527 min, Lübbe Audio). Audible API calls directly fetched *Verbrechen und Strafe* (ASIN `B0DQPGQ5VN`, 1476 min, Der Audio Verlag, narrated by Sylvester Groth).\\n- **Tagging script:** A Python script was written to `/DATA/AppData/hermes/work/tag_audiobooks.py`, using `mutagen` to embed ID3 tags (TIT2, TPE1, TALB, TDRC, TCON, COMM, APIC cover images). The initial run crashed with `PermissionError: [Errno 13] Permission denied: '/media/HDD_1TB/Medien/Audiobooks/Schuld_und_Suehne_komplett.mp3'`; the assistant fixed ownership/permissions (`chown az-a:samba` / `chmod`) on the audiobook directory, then re-ran successfully. Cover JPEGs were downloaded and embedded: `Verbrechen_und_Strafe.jpg` (45K), `Karl_Marx_Fluch_des_Geldes.jpg` (62K), `Maksym.jpg` (46K).\\n- **Plex probe:** Plex was running in Docker container `084bb91c8404` (`lscr.io/linuxserver/plex:1.41.3`). The assistant found the Plex token (`PlexOnlineToken=\\\"UZBRFc2Y1psjzPNvnycU\\\"`), listed existing libraries (Filme, Serien, Musik, YouTube), and cloned the `Audnexus.bundle` agent into `/DATA/AppData/plex/config/Library/Application Support/Plex Media Server/Plug-ins/`, but ultimately recommended Audiobookshelf instead due to Plex's weak native audiobook API support. The user confirmed the switch to Audiobookshelf.\\n- **DailyDose edits:** The assistant used `execute_code` to remove the duplicate custom `Körperpflege` from the server-side `dd_custom_cats` storage via API at `localhost:8765` (HTTP 200 `{\\\"ok\\\":true}`). Then two `patch` edits were applied to `/media/HDD_1TB/DailyDose/index.html`: line 881 in `BUILT_IN_CATS` changed `Work` (icon `💼`) to `YouTube` (icon `▶️`), and line 892 updated `CAT_ALIAS` to `{Buildtech:'Hausarbeit', Essen:'Kochen', Beten:'Islam', Work:'YouTube'}`.\\n\\n**Key decisions and unresolved items:**\\n\\n- Delegation/subagent approaches were abandoned as ineffective on this environment; direct tool use proved faster and more reliable.\\n- Audiobook chapter splitting was discussed (options: real chapter lookup, silence detection via ffmpeg, M4B conversion) but explicitly cancelled by the user: *\\\"Ok vergiss das\\\"*.\\n- Node.js, npm, and `ccr` remained absent from the system, blocking all future Claude Code CLI delegation attempts.\"}, {\"session_id\": \"20260523_091814_a3ce45e8\", \"when\": \"May 23, 2026 at 09:18 AM\", \"source\": \"telegram\", \"model\": \"deepseek-v4-pro\", \"summary\": \"**Factual Recap — May 23, 2026 at 09:18 AM (Telegram)**\\n\\n*Note: The conversation did not explicitly discuss \\\"subagent\\\" or \\\"parallel workers\\\" as architectural concepts. However, **task delegation** — both to the assistant and to background automated jobs — was the dominant operating pattern.*\\n\\n### 1. What the user asked about or wanted to accomplish\\n\\nThe user first requested a learning-progress check in the **Zeitgeist App**, then established a daily learning target with a reward contingency, and finally **delegated the full conceptualization and construction of a web application** (\\\"CallKeep\\\" / \\\"FriendPulse\\\") to the assistant, to be deployed as a Docker container on the ZimaOS server.\\n\\nSpecific deliverables requested:\\n- **Hourly learning reminders:** Track progress toward a 150-minute daily learning goal in Zeitgeist; if achieved, the user earns a headphone purchase.\\n- **CallKeep app:** A contact-relationship tracker to log phone calls (who, when, duration, topics, follow-ups), with a polished web UI and standardized input fields (contact names, call frequency).\\n\\n### 2. What actions were taken and what the outcomes were\\n\\n**Delegated monitoring task (background cronjob):**\\n- The assistant created a recurring cronjob (`job_id: 802d68c923d8`, name: *\\\"Lernziel 150min — Kopfhörer\\\"*) scheduled at `0 * * * *` for 16 repetitions (hourly until 23:00).\\n- The cronjob is configured to autonomously query the Zeitgeist backend (`curl -s http://localhost:8765/api/data`), compare accumulated minutes against the 150-minute target, and report remaining time back to the user via Telegram.\\n\\n**Data retrieval and reporting (assistant as delegated worker):**\\n- Queried the Zeitgeist JSON store via `terminal` and `execute_code` to extract:\\n - **May 22 (yesterday):** 114 minutes (1.9 h) across five sessions (25+25+25+25+14 min).\\n - **May 23 (today, at time of check):** 0 minutes tracked.\\n- Provided a 7-day learning history table (4.1 h weekly total).\\n\\n**App concept delegation (CallKeep):**\\n- The assistant produced a full concept document on request: app name options (**CallKeep** or **FriendPulse**), tagline, data model (contacts + calls), dashboard mockup, and proposed workflows.\\n- Upon the user's follow-up command (\\\"*Bau mal diese App*\\\"), the assistant immediately shifted to execution mode:\\n - Loaded the `zimaos-web-app` skill (`/DATA/.hermes/skills/software-development/zimaos-web-app/SKILL.md`) to follow the standardized ZimaOS deployment pattern (FastAPI + SQLite + vanilla HTML/CSS/JS glass-morphism UI, CasaOS Docker labels, `x-casaos` or `docker run` integration).\\n - Created a structured todo list (8 items) to manage build tasks: project directory creation, `main.py` backend, Dockerfile, `frontend/index.html` SPA, icon, Docker image build, container deployment, and CasaOS dashboard registration.\\n - Created the project directory at `/media/HDD_1TB/CallKeep/`.\\n - Checked port availability (`ss -tlnp | grep 300`) to determine a free port for the new container.\\n\\n### 3. Key decisions, solutions found, or conclusions reached\\n\\n- **Autonomous background delegation accepted:** The user approved delegating hourly status checks entirely to a cronjob rather than requiring manual interaction each hour.\\n- **App architecture decided:** Single-container FastAPI backend with embedded frontend; Dockerized on ZimaOS; data persisted on HDD (`/media/HDD_1TB/CallKeep/`); standardized inputs for contact names and frequency categories.\\n- **No authentication required:** Unless explicitly requested later, per the `zimaos-web-app` skill rules.\\n- **UI style:** Default blue glass-morphism system-aware theme (light/dark), unless user requests Stripe-Link or Apple-minimal variant.\\n\\n### 4. Specific commands, files, URLs, or technical details\\n\\n- **Zeitgeist API endpoint:** `http://localhost:8765/api/data` (serves keys including `zeitgeist-v2`, `zeitgeist-v2-notes`, `zeitgeist-anki-v2`).\\n- **Cronjob:** `802d68c923d8`, schedule `0 * * * *`, 16 repeats, deliver to origin (Telegram). Enabled toolset: `terminal`. Prompt preview references automated curl to the Zeitgeist API.\\n- **Yesterday's tracked data (May 22):** DailyDose category \\\"Lernen\\\": 1.9 h; Zeitgeist slots: `[25, 25, 25, 25, 14]` minutes, no topic labels set.\\n- **Project path:** `/media/HDD_1TB/CallKeep/` (created via `mkdir -p`).\\n- **Port check:** `ss -tlnp | grep 300` returned listeners on `:3000` and `:30000`; 3001–range still available (PrintVault skill notes indicate 3001 may be in use by PrintVault, but scan did not show it bound at that moment).\\n- **Skill reference:** `zimaos-web-app` — includes critical CasaOS deployment notes (CSP iframe headers, `casaos.*` labels, `hostname=\\\"\\\"` for VPN compatibility, `x-casaos` compose blocks vs. `docker run` patterns, icon path `http://:/icon.svg`).\\n\\n### 5. Anything left unresolved or notable\\n\\n- **App build incomplete:** The transcript truncates while the todo list shows item 1 (*Create project structure*) in progress and items 2–8 pending. No `main.py`, Dockerfile, or frontend files had been written yet by the cutoff point.\\n- **Port not finalized:** The assistant checked ports but had not yet assigned or exposed a definitive port for CallKeep in the truncated remainder.\\n- **No explicit discussion of multi-agent or parallel-worker architectures:** All delegation in this session was sequential (assistant executing steps one-by-one, plus a single background cronjob). No subagent spawning, parallel LLM workers, or distributed task queues were mentioned.\"}], \"count\": 5, \"sessions_searched\": 5}", "tool_call_id": "call_44myfd0e" }, { "role": "assistant", "content": "Ja, mehrfach — mit gemischten Ergebnissen:\n\n**Funktioniert hat's:**\n- 21. Mai — Honcho-Selbsthosting-Recherche: Subagent lief 61s, 8 interne Tool-Calls, lieferte eine saubere Zusammenfassung der Deployment-Specs zurück\n- 20. Mai — PrintVault Trash-UI: Allerdings nicht via `delegate_task`, sondern als Workaround über `terminal(background=true)` mit CCR\n\n**Gescheitert ist's:**\n- 11. Mai — 3 parallele Subagents für 3D-Druck-Recherche: alle drei nach 600s Timeout abgebrochen\n- 20. Mai — `delegate_task(acp_command='claude')` schlug fehl wegen fehlendem PATH zur Claude-CLI\n- 22. Mai — 2 parallele Subagents für Hörbuch-Recherche: lieferten nur Suchbegriffe zurück, keine echten Ergebnisse\n\n**Fazit:** Das native `delegate_task` ist hit-or-miss. Der Workaround über `terminal(background=true)` + CCR funktioniert zuverlässiger, ist aber fummeliger einzurichten. Der PATH-Fix für `acp_command` steht immer noch aus.", "reasoning": "The user asked if we've used subagents before. Let me summarize the findings from session_search.\n\nKey findings:\n1. May 11 - 3 parallel subagents dispatched via delegate_task, but ALL THREE timed out after 600s. Failed.\n2. May 20 - delegate_task with acp_command='claude' failed (PATH issue). But background terminal subagent worked to implement PrintVault Trash UI feature.\n3. May 21 - delegate_task used to research Honcho self-hosting - worked (61s, 8 internal calls, returned structured summary).\n4. May 22 - Two parallel delegate_task calls for audiobook research returned only search suggestions without actual tool calls. Abandoned in favor of direct execution.\n5. May 23 - No subagent usage, just sequential execution + cronjob.\n\nSo yes, we've used it several times with mixed results. Let me give a concise summary." }, { "role": "user", "content": "Funktioniert CCR aktuell? Falls nein bitte repariere es damit es einsatzfähig ist!" }, { "role": "assistant", "content": "", "reasoning": "Der Boss fragt, ob CCR (Claude Code Router) aktuell funktioniert und falls nicht, soll ich es reparieren. Lass mich den aktuellen Status checken.\n\nCCR wurde in der Session vom 20. Mai eingerichtet:\n- Node.js v22.12.0 unter /DATA/.local/nodejs/\n- CCR v1.0.51 unter /DATA/.local/npm-global/\n- systemd service: claude-code-router.service\n- Config: /DATA/.local/.claude-code-router/config.json\n- Aliase: cc → HOME=/DATA/.local ccr code\n\nIch muss prüfen:\n1. Läuft der systemd service?\n2. Ist der Port 3456 erreichbar?\n3. Funktioniert `ccr code`?\n\nUnd falls nicht, reparieren.\n\nWahrscheinlich ist der Service nach dem Gateway-Restart nicht mehr aktiv oder es gibt Node.js PATH-Probleme wie in der Memory erwähnt.", "finish_reason": "tool_calls", "reasoning_content": "Der Boss fragt, ob CCR (Claude Code Router) aktuell funktioniert und falls nicht, soll ich es reparieren. Lass mich den aktuellen Status checken.\n\nCCR wurde in der Session vom 20. Mai eingerichtet:\n- Node.js v22.12.0 unter /DATA/.local/nodejs/\n- CCR v1.0.51 unter /DATA/.local/npm-global/\n- systemd service: claude-code-router.service\n- Config: /DATA/.local/.claude-code-router/config.json\n- Aliase: cc → HOME=/DATA/.local ccr code\n\nIch muss prüfen:\n1. Läuft der systemd service?\n2. Ist der Port 3456 erreichbar?\n3. Funktioniert `ccr code`?\n\nUnd falls nicht, reparieren.\n\nWahrscheinlich ist der Service nach dem Gateway-Restart nicht mehr aktiv oder es gibt Node.js PATH-Probleme wie in der Memory erwähnt.", "tool_calls": [ { "id": "call_6251q7il", "call_id": "call_6251q7il", "response_item_id": "fc_6251q7il", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"systemctl is-active claude-code-router.service 2\\u003e\\u00261; systemctl status claude-code-router.service 2\\u003e\\u00261 | head -20\"}" } }, { "id": "call_a8hnanqd", "call_id": "call_a8hnanqd", "response_item_id": "fc_a8hnanqd", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"ss -tlnp | grep 3456\"}" } }, { "id": "call_xmihv6fk", "call_id": "call_xmihv6fk", "response_item_id": "fc_xmihv6fk", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 which node \\u0026\\u0026 node --version \\u0026\\u0026 which ccr \\u0026\\u0026 ccr --version 2\\u003e\\u00261\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"inactive\\n○ claude-code-router.service - Claude Code Router\\n Loaded: loaded (/etc/systemd/system/claude-code-router.service; enabled; preset: enabled)\\n Active: inactive (dead)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_6251q7il" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"LISTEN 0 0 0.0.0.0:3456 0.0.0.0:* users:((\\\"node\\\",pid=2291711,fd=22))\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_a8hnanqd" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"/DATA/.local/nodejs/bin/node\\nv22.12.0\\n/DATA/.local/npm-global/bin/ccr\\n\\nUsage: ccr [command] [preset-name]\\n\\nCommands:\\n start Start server\\n stop Stop server\\n restart Restart server\\n status Show server status\\n statusline Integrated statusline\\n code Execute claude command\\n model Interactive model selection and configuration\\n preset Manage presets (export, install, list, delete)\\n install Install preset from GitHub marketplace\\n activate Output environment variables for shell integration\\n ui Open the web UI in browser\\n -v, version Show version information\\n -h, help Show help information\\n\\nPresets:\\n Any preset directory in ~/.claude-code-router/presets/\\n\\nExamples:\\n ccr start\\n ccr code \\\"Write a Hello World\\\"\\n ccr my-preset \\\"Write a Hello World\\\" # Use preset configuration\\n ccr model\\n ccr preset export my-config # Export current config as preset\\n ccr preset install /path/to/preset # Install a preset from directory\\n ccr preset list # List all presets\\n ccr install my-preset # Install preset from marketplace\\n eval \\\"$(ccr activate)\\\" # Set environment variables globally\\n ccr ui\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_xmihv6fk" }, { "role": "assistant", "content": "Port 3456 ist offen, CCR läuft (als nackter Node-Prozess, nicht via systemd). Lass mich prüfen ob's auch korrekt funktioniert:", "reasoning": "The CCR service is inactive but the port 3456 is still being listened on by a node process (pid 2291711). So CCR is running, just not via systemd. Let me check the actual state - the port is up, node is there. Let me test if it actually works by making a request to it.\n\nLet me also check the config to make sure it's pointing to the right Ollama Cloud models.", "finish_reason": "tool_calls", "reasoning_content": "The CCR service is inactive but the port 3456 is still being listened on by a node process (pid 2291711). So CCR is running, just not via systemd. Let me check the actual state - the port is up, node is there. Let me test if it actually works by making a request to it.\n\nLet me also check the config to make sure it's pointing to the right Ollama Cloud models.", "tool_calls": [ { "id": "call_w8apzdpp", "call_id": "call_w8apzdpp", "response_item_id": "fc_w8apzdpp", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s http://localhost:3456/v1/models 2\\u003e\\u00261 | head -30\"}" } }, { "id": "call_l0pzn02m", "call_id": "call_l0pzn02m", "response_item_id": "fc_l0pzn02m", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/DATA/.local/.claude-code-router/config.json\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"APIKEY is missing\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_w8apzdpp" }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|{\\n 2| \\\"LOG\\\": true,\\n 3| \\\"API_TIMEOUT_MS\\\": 600000,\\n 4| \\\"Providers\\\": [\\n 5| {\\n 6| \\\"name\\\": \\\"ollama\\\",\\n 7| \\\"api_base_url\\\": \\\"https://ollama.com/v1/chat/completions\\\",\\n 8| \\\"api_key\\\": \\\"eaf9ec548a9f4f789cc2eeb0d7cc61e3.VI7OQTAxEEGB1fqyil_1oJob\\\",\\n 9| \\\"models\\\": [\\n 10| \\\"deepseek-v4-pro\\\",\\n 11| \\\"kimi-k2.6\\\",\\n 12| \\\"gemma3:4b\\\"\\n 13| ],\\n 14| \\\"transformer\\\": {\\n 15| \\\"use\\\": [\\n 16| \\\"deepseek\\\"\\n 17| ],\\n 18| \\\"deepseek-v4-pro\\\": {\\n 19| \\\"use\\\": [\\n 20| [\\n 21| \\\"maxtoken\\\",\\n 22| {\\n 23| \\\"max_tokens\\\": 65536\\n 24| }\\n 25| ]\\n 26| ]\\n 27| },\\n 28| \\\"kimi-k2.6\\\": {\\n 29| \\\"use\\\": [\\n 30| [\\n 31| \\\"maxtoken\\\",\\n 32| {\\n 33| \\\"max_tokens\\\": 65536\\n 34| }\\n 35| ]\\n 36| ]\\n 37| }\\n 38| }\\n 39| }\\n 40| ],\\n 41| \\\"Router\\\": {\\n 42| \\\"default\\\": \\\"ollama,deepseek-v4-pro\\\",\\n 43| \\\"think\\\": \\\"ollama,kimi-k2.6\\\",\\n 44| \\\"background\\\": \\\"ollama,gemma3:4b\\\",\\n 45| \\\"longContext\\\": \\\"ollama,kimi-k2.6\\\",\\n 46| \\\"longContextThreshold\\\": 60000\\n 47| },\\n 48| \\\"HOST\\\": \\\"0.0.0.0\\\",\\n 49| \\\"APIKEY\\\": \\\"kiwi-ccr-local\\\"\\n 50|}\\n 51|\", \"total_lines\": 50, \"file_size\": 1055, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_l0pzn02m" }, { "role": "assistant", "content": "CCR läuft, aber der API-Key-Check schlägt fehl. Test mit Key:", "reasoning": "Der CCR läuft, aber der API-Key `kiwi-ccr-local` wird anscheinend nicht akzeptiert. Der Curl-Test ergibt `APIKEY is missing`. \n\nLass mich mal mit dem API-Key testen:", "finish_reason": "tool_calls", "reasoning_content": "Der CCR läuft, aber der API-Key `kiwi-ccr-local` wird anscheinend nicht akzeptiert. Der Curl-Test ergibt `APIKEY is missing`. \n\nLass mich mal mit dem API-Key testen:", "tool_calls": [ { "id": "call_zkztwi4u", "call_id": "call_zkztwi4u", "response_item_id": "fc_zkztwi4u", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" http://localhost:3456/v1/models 2\\u003e\\u00261\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"message\\\":\\\"Route GET:/v1/models not found\\\",\\\"error\\\":\\\"Not Found\\\",\\\"statusCode\\\":404}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_zkztwi4u" }, { "role": "assistant", "content": "", "reasoning": "Die Models-Route gibt's nicht, aber der Key wird akzeptiert. Jetzt ein echter API-Call Test:", "finish_reason": "tool_calls", "reasoning_content": "Die Models-Route gibt's nicht, aber der Key wird akzeptiert. Jetzt ein echter API-Call Test:", "tool_calls": [ { "id": "call_tjdngj3u", "call_id": "call_tjdngj3u", "response_item_id": "fc_tjdngj3u", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\n \\\"model\\\": \\\"deepseek-v4-pro\\\",\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Say hello in exactly one word\\\"}],\\n \\\"max_tokens\\\": 50\\n }' 2\\u003e\\u00261 | head -30\",\"timeout\":60}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"error\\\":{\\\"message\\\":\\\"Provider 'undefined' not foundError: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"type\\\":\\\"api_error\\\",\\\"code\\\":\\\"provider_not_found\\\"}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_tjdngj3u" }, { "role": "assistant", "content": "CCR läuft, aber das Routing ist kaputt — \"Provider 'undefined' not found\". Der laufende Prozess hat vermutlich stale State. Lass mich neustarten:", "reasoning": "CCR is running on port 3456 but routing is broken — \"Provider 'undefined' not found\". The config looks correct (ollama provider with API key, models defined). The issue might be:\n\n1. The running CCR process was started with a different/older config\n2. The process needs restarting to pick up config changes\n3. Or the config format has an issue\n\nLet me check the config more carefully. The config has `\"HOST\": \"0.0.0.0\"` and `\"APIKEY\": \"kiwi-ccr-local\"`. The model is `deepseek-v4-pro` and the provider is `ollama`. \n\nThe error says \"Provider 'undefined' not found\" — this suggests the routing isn't resolving correctly. Could be the running CCR process has stale state. Let me restart it.\n\nWait, but the service status showed \"inactive (dead)\" but port 3456 has a node process. So CCR was started manually, not via systemd. Let me kill it and restart properly via systemd.", "finish_reason": "tool_calls", "reasoning_content": "CCR is running on port 3456 but routing is broken — \"Provider 'undefined' not found\". The config looks correct (ollama provider with API key, models defined). The issue might be:\n\n1. The running CCR process was started with a different/older config\n2. The process needs restarting to pick up config changes\n3. Or the config format has an issue\n\nLet me check the config more carefully. The config has `\"HOST\": \"0.0.0.0\"` and `\"APIKEY\": \"kiwi-ccr-local\"`. The model is `deepseek-v4-pro` and the provider is `ollama`. \n\nThe error says \"Provider 'undefined' not found\" — this suggests the routing isn't resolving correctly. Could be the running CCR process has stale state. Let me restart it.\n\nWait, but the service status showed \"inactive (dead)\" but port 3456 has a node process. So CCR was started manually, not via systemd. Let me kill it and restart properly via systemd.", "tool_calls": [ { "id": "call_luhf67b3", "call_id": "call_luhf67b3", "response_item_id": "fc_luhf67b3", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"kill $(ss -tlnp | grep 3456 | grep -oP 'pid=\\\\K\\\\d+') 2\\u003e\\u00261; sleep 1; ss -tlnp | grep 3456\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 1, \"error\": null, \"exit_code_meaning\": \"No matches found (not an error)\"}", "tool_call_id": "call_luhf67b3" }, { "role": "assistant", "content": "", "reasoning": "The port is now free. Let me start CCR fresh via systemd with the correct environment.", "finish_reason": "tool_calls", "reasoning_content": "The port is now free. Let me start CCR fresh via systemd with the correct environment.", "tool_calls": [ { "id": "call_honzp7q5", "call_id": "call_honzp7q5", "response_item_id": "fc_honzp7q5", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 HOME=/DATA/.local ccr start 2\\u003e\\u00261\",\"timeout\":15}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"Loaded JSON config from: /DATA/.local/.claude-code-router/config.json\\n\\n[Command timed out after 15s]\", \"exit_code\": 124, \"error\": null}", "tool_call_id": "call_honzp7q5" }, { "role": "assistant", "content": "", "reasoning": "CCR started but the foreground command timed out — that's normal, it runs as a daemon. Let me check if it's listening now and test it.", "finish_reason": "tool_calls", "reasoning_content": "CCR started but the foreground command timed out — that's normal, it runs as a daemon. Let me check if it's listening now and test it.", "tool_calls": [ { "id": "call_xv2lzlvg", "call_id": "call_xv2lzlvg", "response_item_id": "fc_xv2lzlvg", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sleep 2 \\u0026\\u0026 ss -tlnp | grep 3456\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 1, \"error\": null, \"exit_code_meaning\": \"No matches found (not an error)\"}\n\n[Tool loop warning: same_tool_failure_warning; count=3; terminal has failed 3 times this turn. This looks like a loop; change approach before retrying.]", "tool_call_id": "call_xv2lzlvg" }, { "role": "assistant", "content": "", "reasoning": "The CCR process didn't start properly. The `ccr start` timed out after 15s and the port isn't bound. Let me try running it differently — maybe as a background process, or check if there's a different way to start it. Let me also check the CCR logs or try starting it directly as a background process.", "finish_reason": "tool_calls", "reasoning_content": "The CCR process didn't start properly. The `ccr start` timed out after 15s and the port isn't bound. Let me try running it differently — maybe as a background process, or check if there's a different way to start it. Let me also check the CCR logs or try starting it directly as a background process.", "tool_calls": [ { "id": "call_kxdejuvc", "call_id": "call_kxdejuvc", "response_item_id": "fc_kxdejuvc", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 HOME=/DATA/.local ccr status 2\\u003e\\u00261\"}" } }, { "id": "call_6qw7b55x", "call_id": "call_6qw7b55x", "response_item_id": "fc_6qw7b55x", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 cat /DATA/.local/.claude-code-router/logs/*.log 2\\u003e/dev/null | tail -30; ls -la /DATA/.local/.claude-code-router/logs/ 2\\u003e/dev/null\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"📊 Claude Code Router Status\\n════════════════════════════════════════\\n❌ Status: Not Running\\n\\n💡 To start the service:\\n ccr start\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_kxdejuvc" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"level\\\":30,\\\"time\\\":1779606752292,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: gemini (endpoint: /v1beta/models/:modelAndAction)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752292,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: vertex-gemini (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752292,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: vertex-claude (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752292,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: deepseek (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752292,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: tooluse (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752292,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: openrouter (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752292,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: OpenAI (endpoint: /v1/chat/completions)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752292,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: maxtoken (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: groq (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: cleancache (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: enhancetool (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: reasoning (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: sampling (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: maxcompletiontokens (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: cerebras (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: streamoptions (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: customparams (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: vercel (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: openai-responses (endpoint: /v1/responses)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752293,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: forcereasoning (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752372,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"TokenizerService initialized successfully\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752372,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"ollama provider registered\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752451,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://127.0.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752451,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://192.168.178.171:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752451,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://172.29.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752451,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://172.17.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752451,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://172.18.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752451,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://172.21.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606752451,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"🚀 LLMs API server listening on http://127.0.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606766846,\\\"pid\\\":1212548,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Received SIGTERM, shutting down gracefully...\\\"}\\ntotal 43944\\ndrwxr-xr-x 2 az-a samba 4096 May 24 09:12 .\\ndrwxr-xr-x 4 az-a samba 4096 May 24 09:12 ..\\n-rw-r--r-- 1 az-a samba 3247 May 20 18:52 ccr-20260520185159.log\\n-rw-r--r-- 1 az-a samba 336362 May 20 18:53 ccr-20260520185227.log\\n-rw-r--r-- 1 az-a samba 0 May 21 00:00 ccr-20260520185356.log\\n-rw-r--r-- 1 az-a samba 65 May 21 00:00 ccr-20260520185356.log.txt\\n-rw-r--r-- 1 az-a samba 41875024 May 20 19:37 ccr-20260521000000_1.log\\n-rw-r--r-- 1 az-a samba 2550 May 24 09:12 ccr-20260522225057.log\\n-rw-r--r-- 1 az-a samba 130 May 24 00:00 ccr-20260522225057.log.txt\\n-rw-r--r-- 1 az-a samba 2741271 May 22 23:11 ccr-20260523000000_1.log\\n-rw-r--r-- 1 az-a samba 0 May 23 00:00 ccr-20260524000000_1.log\\n-rw-r--r-- 1 az-a samba 3847 May 24 09:12 ccr-20260524091232.log\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_6qw7b55x" }, { "role": "assistant", "content": "CCR war tot, Konfig ist aber intakt. Ich starte es sauber via systemd:", "reasoning": "The issue is that CCR starts and binds to port 3456 correctly, but then when we try to use it, it says \"Provider 'undefined' not found\". The logs show the provider \"ollama\" was registered successfully, so the config seems correct. But the API call failed because the routing didn't match.\n\nLooking at the config more carefully — the provider name is \"ollama\" and the Router section says `\"default\": \"ollama,deepseek-v4-pro\"`. The previous version of CCR that was running (before I killed it) had the \"Provider 'undefined' not found\" error.\n\nLet me check if maybe the issue is that CCR is starting but binding only to the wrong interfaces, or the API endpoint structure is different. The logs show it listening on 127.0.0.1:3456 among others. Let me try starting it properly in background and then testing.\n\nWait — the `ccr start` command timed out after 15s. That's because it starts and stays foreground. I need to background it.\n\nLet me start CCR as a background systemd service properly. That's the right approach.", "finish_reason": "tool_calls", "reasoning_content": "The issue is that CCR starts and binds to port 3456 correctly, but then when we try to use it, it says \"Provider 'undefined' not found\". The logs show the provider \"ollama\" was registered successfully, so the config seems correct. But the API call failed because the routing didn't match.\n\nLooking at the config more carefully — the provider name is \"ollama\" and the Router section says `\"default\": \"ollama,deepseek-v4-pro\"`. The previous version of CCR that was running (before I killed it) had the \"Provider 'undefined' not found\" error.\n\nLet me check if maybe the issue is that CCR is starting but binding only to the wrong interfaces, or the API endpoint structure is different. The logs show it listening on 127.0.0.1:3456 among others. Let me try starting it properly in background and then testing.\n\nWait — the `ccr start` command timed out after 15s. That's because it starts and stays foreground. I need to background it.\n\nLet me start CCR as a background systemd service properly. That's the right approach.", "tool_calls": [ { "id": "call_tu2tpqqy", "call_id": "call_tu2tpqqy", "response_item_id": "fc_tu2tpqqy", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"systemctl start claude-code-router.service 2\\u003e\\u00261; sleep 3; systemctl status claude-code-router.service 2\\u003e\\u00261 | head -15\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"Failed to start claude-code-router.service: Access denied\\nSee system logs and 'systemctl status claude-code-router.service' for details.\\n○ claude-code-router.service - Claude Code Router\\n Loaded: loaded (/etc/systemd/system/claude-code-router.service; enabled; preset: enabled)\\n Active: inactive (dead)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_tu2tpqqy" }, { "role": "assistant", "content": "", "reasoning": "Systemd won't work due to permissions. Let me start it manually in background mode with the terminal tool.", "finish_reason": "tool_calls", "reasoning_content": "Systemd won't work due to permissions. Let me start it manually in background mode with the terminal tool.", "tool_calls": [ { "id": "call_p2unitlp", "call_id": "call_p2unitlp", "response_item_id": "fc_p2unitlp", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/etc/systemd/system/claude-code-router.service\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|[Unit]\\n 2|Description=Claude Code Router\\n 3|After=network-online.target\\n 4|Wants=network-online.target\\n 5|\\n 6|[Service]\\n 7|Type=simple\\n 8|User=az-a\\n 9|Group=samba\\n 10|Environment=\\\"PATH=/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:/usr/bin:/bin\\\"\\n 11|Environment=\\\"HOME=/DATA/.local\\\"\\n 12|Environment=\\\"npm_config_cache=/DATA/.local/npm-cache\\\"\\n 13|Environment=\\\"npm_config_prefix=/DATA/.local/npm-global\\\"\\n 14|ExecStart=/DATA/.local/npm-global/bin/ccr start\\n 15|ExecStop=/DATA/.local/npm-global/bin/ccr stop\\n 16|Restart=on-failure\\n 17|RestartSec=5\\n 18|\\n 19|[Install]\\n 20|WantedBy=multi-user.target\\n 21|\", \"total_lines\": 20, \"file_size\": 530, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_p2unitlp" }, { "role": "assistant", "content": "", "reasoning": "The systemd service looks correct but systemctl start says \"Access denied\". Let me try a different approach - maybe I need to use sudo or there's a permission issue with systemctl. On ZimaOS, let me check if I need sudo.", "finish_reason": "tool_calls", "reasoning_content": "The systemd service looks correct but systemctl start says \"Access denied\". Let me try a different approach - maybe I need to use sudo or there's a permission issue with systemctl. On ZimaOS, let me check if I need sudo.", "tool_calls": [ { "id": "call_evvi46q3", "call_id": "call_evvi46q3", "response_item_id": "fc_evvi46q3", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl start claude-code-router.service 2\\u003e\\u00261; sleep 3; sudo systemctl status claude-code-router.service 2\\u003e\\u00261 | head -15\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"● claude-code-router.service - Claude Code Router\\n Loaded: loaded (/etc/systemd/system/claude-code-router.service; enabled; preset: enabled)\\n Active: active (running) since Sun 2026-05-24 09:13:13 CEST; 3s ago\\n Invocation: 4fd10cab2f2842dda583b7f453162e73\\n Main PID: 1213753 (node)\\n Tasks: 11 (limit: 9313)\\n Memory: 127M (peak: 128.2M)\\n CPU: 946ms\\n CGroup: /system.slice/claude-code-router.service\\n └─1213753 node /DATA/.local/npm-global/bin/ccr start\\n\\nMay 24 09:13:13 ZimaOS systemd[1]: Started Claude Code Router.\\nMay 24 09:13:14 ZimaOS ccr[1213753]: Loaded JSON config from: /DATA/.local/.claude-code-router/config.json\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_evvi46q3" }, { "role": "assistant", "content": "Läuft. Jetzt der Funktionstest:", "reasoning": "CCR is now running via systemd. Let me test that it actually works by sending a simple chat completion request.", "finish_reason": "tool_calls", "reasoning_content": "CCR is now running via systemd. Let me test that it actually works by sending a simple chat completion request.", "tool_calls": [ { "id": "call_bl327y3g", "call_id": "call_bl327y3g", "response_item_id": "fc_bl327y3g", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\n \\\"model\\\": \\\"deepseek-v4-pro\\\",\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Reply with exactly: OK\\\"}],\\n \\\"max_tokens\\\": 20\\n }' 2\\u003e\\u00261\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"error\\\":{\\\"message\\\":\\\"Provider 'undefined' not foundError: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"type\\\":\\\"api_error\\\",\\\"code\\\":\\\"provider_not_found\\\"}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_bl327y3g" }, { "role": "assistant", "content": "Immer noch \"Provider 'undefined'\". Die Config-Struktur könnte veraltet sein. Lass mich die aktuelle CCR-Version und das erwartete Format checken:", "reasoning": "\"Provider 'undefined' not found\" — der Provider-Name \"ollama\" wird nicht gefunden. Das Problem: Die Konfig hat `\"Providers\"` (großes P), aber CCR erwartet vermutlich `\"providers\"` (klein). Oder das Format hat sich geändert. Lass mich die aktuelle CCR-Version checken und die Doku/recent config formats recherchieren.\n\nDas Problem ist: \"Provider 'undefined' not found\" — das deutet darauf hin, dass CCR den Provider aus der Konfig nicht parst. Entweder:\n1. Die Config-Struktur ist falsch (Keys case-sensitive?)\n2. Die API-Base-URL ist falsch (https://ollama.com/v1/chat/completions — das sieht komisch aus, das ist nicht die Ollama-API)\n\nWait — Ollama Cloud Pro hat die Base URL `https://ollama.com/v1`, und der Endpoint wäre dann `https://ollama.com/v1/chat/completions`. Aber das `api_base_url` in der Config ist auf den vollen Chat-Endpoint gesetzt, nicht auf die Base-URL.\n\nLass mich die CCR-Doku checken, wie die Config aussehen muss.", "finish_reason": "tool_calls", "reasoning_content": "\"Provider 'undefined' not found\" — der Provider-Name \"ollama\" wird nicht gefunden. Das Problem: Die Konfig hat `\"Providers\"` (großes P), aber CCR erwartet vermutlich `\"providers\"` (klein). Oder das Format hat sich geändert. Lass mich die aktuelle CCR-Version checken und die Doku/recent config formats recherchieren.\n\nDas Problem ist: \"Provider 'undefined' not found\" — das deutet darauf hin, dass CCR den Provider aus der Konfig nicht parst. Entweder:\n1. Die Config-Struktur ist falsch (Keys case-sensitive?)\n2. Die API-Base-URL ist falsch (https://ollama.com/v1/chat/completions — das sieht komisch aus, das ist nicht die Ollama-API)\n\nWait — Ollama Cloud Pro hat die Base URL `https://ollama.com/v1`, und der Endpoint wäre dann `https://ollama.com/v1/chat/completions`. Aber das `api_base_url` in der Config ist auf den vollen Chat-Endpoint gesetzt, nicht auf die Base-URL.\n\nLass mich die CCR-Doku checken, wie die Config aussehen muss.", "tool_calls": [ { "id": "call_mibplcdc", "call_id": "call_mibplcdc", "response_item_id": "fc_mibplcdc", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 ccr --version 2\\u003e\\u00261\"}" } }, { "id": "call_za9ms3e0", "call_id": "call_za9ms3e0", "response_item_id": "fc_za9ms3e0", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 npm list -g @musistudio/claude-code-router 2\\u003e\\u00261\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"Usage: ccr [command] [preset-name]\\n\\nCommands:\\n start Start server\\n stop Stop server\\n restart Restart server\\n status Show server status\\n statusline Integrated statusline\\n code Execute claude command\\n model Interactive model selection and configuration\\n preset Manage presets (export, install, list, delete)\\n install Install preset from GitHub marketplace\\n activate Output environment variables for shell integration\\n ui Open the web UI in browser\\n -v, version Show version information\\n -h, help Show help information\\n\\nPresets:\\n Any preset directory in ~/.claude-code-router/presets/\\n\\nExamples:\\n ccr start\\n ccr code \\\"Write a Hello World\\\"\\n ccr my-preset \\\"Write a Hello World\\\" # Use preset configuration\\n ccr model\\n ccr preset export my-config # Export current config as preset\\n ccr preset install /path/to/preset # Install a preset from directory\\n ccr preset list # List all presets\\n ccr install my-preset # Install preset from marketplace\\n eval \\\"$(ccr activate)\\\" # Set environment variables globally\\n ccr ui\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_mibplcdc" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"/DATA/.local/nodejs/lib\\n└── (empty)\\n\\nnpm notice\\nnpm notice New major version of npm available! 10.9.0 -> 11.15.0\\nnpm notice Changelog: https://github.com/npm/cli/releases/tag/v11.15.0\\nnpm notice To update run: npm install -g npm@11.15.0\\nnpm notice\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_za9ms3e0" }, { "role": "assistant", "content": "", "reasoning": "CCR version isn't showing. Let me check what version is actually installed and look at the package.json or check the actual binary. The `ccr -v` doesn't work, and `npm list -g` shows nothing (maybe installed differently).\n\nLet me check the actual installation path and look for recent CCR config format changes. The error \"Provider 'undefined'\" suggests the config format might have changed. Let me look at the CCR repo/docs to see the current config format.", "finish_reason": "tool_calls", "reasoning_content": "CCR version isn't showing. Let me check what version is actually installed and look at the package.json or check the actual binary. The `ccr -v` doesn't work, and `npm list -g` shows nothing (maybe installed differently).\n\nLet me check the actual installation path and look for recent CCR config format changes. The error \"Provider 'undefined'\" suggests the config format might have changed. Let me look at the CCR repo/docs to see the current config format.", "tool_calls": [ { "id": "call_7o647m3b", "call_id": "call_7o647m3b", "response_item_id": "fc_7o647m3b", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"cat /DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/package.json 2\\u003e\\u00261 | grep -E '\\\"version\\\"|\\\"name\\\"'\"}" } }, { "id": "call_klysa5xq", "call_id": "call_klysa5xq", "response_item_id": "fc_klysa5xq", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 ccr -v 2\\u003e\\u00261; ccr version 2\\u003e\\u00261\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\\\"name\\\": \\\"@musistudio/claude-code-router\\\",\\n \\\"version\\\": \\\"2.0.0\\\",\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_7o647m3b" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"claude-code-router version: 2.0.0\\nclaude-code-router version: 2.0.0\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_klysa5xq" }, { "role": "assistant", "content": "CCR v2.0.0 — Major-Update, die Config-Struktur hat sich garantiert geändert. Daher das \"Provider 'undefined'\". Lass mich das neue Format recherchieren:", "reasoning": "CCR v2.0.0! Das ist ein Major-Update. Die Config-Struktur hat sich wahrscheinlich geändert. \"Provider 'undefined'\" deutet darauf hin, dass v2 das Config-Format anders erwartet. Lass mich die aktuelle Dokumentation oder Config-Schema checken.", "finish_reason": "tool_calls", "reasoning_content": "CCR v2.0.0! Das ist ein Major-Update. Die Config-Struktur hat sich wahrscheinlich geändert. \"Provider 'undefined'\" deutet darauf hin, dass v2 das Config-Format anders erwartet. Lass mich die aktuelle Dokumentation oder Config-Schema checken.", "tool_calls": [ { "id": "call_ghpfzpaa", "call_id": "call_ghpfzpaa", "response_item_id": "fc_ghpfzpaa", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 ccr model 2\\u003e\\u00261 \\u003c\\u003c\\u003c \\\"\\\" || true\",\"timeout\":5}" } }, { "id": "call_qllt6wzh", "call_id": "call_qllt6wzh", "response_item_id": "fc_qllt6wzh", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"find /DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router -name \\\"*.md\\\" -o -name \\\"README*\\\" 2\\u003e/dev/null | head -10\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"Error: config.json not found at /DATA/.claude-code-router/config.json\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_ghpfzpaa" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/README_zh.md\\n/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/README.md\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_qllt6wzh" }, { "role": "assistant", "content": "", "reasoning": "CCR v2.0.0 hat offenbar den Config-Pfad geändert — sucht jetzt unter `/DATA/.claude-code-router/config.json` statt unter `/DATA/.local/.claude-code-router/config.json`. Das ist vermutlich weil `HOME=/DATA/.local` gesetzt ist und CCR dann `~/.claude-code-router/config.json` auflöst.\n\nLass mich die README lesen um zu verstehen wie das v2 Config-Format aussieht.", "finish_reason": "tool_calls", "reasoning_content": "CCR v2.0.0 hat offenbar den Config-Pfad geändert — sucht jetzt unter `/DATA/.claude-code-router/config.json` statt unter `/DATA/.local/.claude-code-router/config.json`. Das ist vermutlich weil `HOME=/DATA/.local` gesetzt ist und CCR dann `~/.claude-code-router/config.json` auflöst.\n\nLass mich die README lesen um zu verstehen wie das v2 Config-Format aussieht.", "tool_calls": [ { "id": "call_fhfxpoxs", "call_id": "call_fhfxpoxs", "response_item_id": "fc_fhfxpoxs", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/README.md\",\"limit\":150}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|![](blog/images/claude-code-router-img.png)\\n 2|\\n 3|[![](https://img.shields.io/badge/%F0%9F%87%A8%F0%9F%87%B3-%E4%B8%AD%E6%96%87%E7%89%88-ff0000?style=flat)](README_zh.md)\\n 4|[![Discord](https://img.shields.io/badge/Discord-%235865F2.svg?&logo=discord&logoColor=white)](https://discord.gg/rdftVMaUcS)\\n 5|[![](https://img.shields.io/github/license/musistudio/claude-code-router)](https://github.com/musistudio/claude-code-router/blob/main/LICENSE)\\n 6|\\n 7|
\\n 8|\\n 9|![](blog/images/sponsors/glm-en.jpg)\\n 10|> This project is sponsored by Z.ai, supporting us with their GLM CODING PLAN. \\n 11|> GLM CODING PLAN is a subscription service designed for AI coding, starting at just $3/month. It provides access to their flagship GLM-4.7 model across 10+ popular AI coding tools (Claude Code, Cline, Roo Code, etc.), offering developers top-tier, fast, and stable coding experiences. \\n 12|> Get 10% OFF GLM CODING PLAN：https://z.ai/subscribe?ic=8JVLJQFSKB \\n 13|\\n 14|> A powerful tool to route Claude Code requests to different models and customize any request.\\n 15|\\n 16|![](blog/images/claude-code.png)\\n 17|\\n 18|## ✨ Features\\n 19|\\n 20|- **Model Routing**: Route requests to different models based on your needs (e.g., background tasks, thinking, long context).\\n 21|- **Multi-Provider Support**: Supports various model providers like OpenRouter, DeepSeek, Ollama, Gemini, Volcengine, and SiliconFlow.\\n 22|- **Request/Response Transformation**: Customize requests and responses for different providers using transformers.\\n 23|- **Dynamic Model Switching**: Switch models on-the-fly within Claude Code using the `/model` command.\\n 24|- **CLI Model Management**: Manage models and providers directly from the terminal with `ccr model`.\\n 25|- **GitHub Actions Integration**: Trigger Claude Code tasks in your GitHub workflows.\\n 26|- **Plugin System**: Extend functionality with custom transformers.\\n 27|\\n 28|## 🚀 Getting Started\\n 29|\\n 30|### 1. Installation\\n 31|\\n 32|First, ensure you have [Claude Code](https://docs.anthropic.com/en/docs/claude-code/quickstart) installed:\\n 33|\\n 34|```shell\\n 35|npm install -g @anthropic-ai/claude-code\\n 36|```\\n 37|\\n 38|Then, install Claude Code Router:\\n 39|\\n 40|```shell\\n 41|npm install -g @musistudio/claude-code-router\\n 42|```\\n 43|\\n 44|### 2. Configuration\\n 45|\\n 46|Create and configure your `~/.claude-code-router/config.json` file. For more details, you can refer to `config.example.json`.\\n 47|\\n 48|The `config.json` file has several key sections:\\n 49|\\n 50|- **`PROXY_URL`** (optional): You can set a proxy for API requests, for example: `\\\"PROXY_URL\\\": \\\"http://127.0.0.1:7890\\\"`.\\n 51|- **`LOG`** (optional): You can enable logging by setting it to `true`. When set to `false`, no log files will be created. Default is `true`.\\n 52|- **`LOG_LEVEL`** (optional): Set the logging level. Available options are: `\\\"fatal\\\"`, `\\\"error\\\"`, `\\\"warn\\\"`, `\\\"info\\\"`, `\\\"debug\\\"`, `\\\"trace\\\"`. Default is `\\\"debug\\\"`.\\n 53|- **Logging Systems**: The Claude Code Router uses two separate logging systems:\\n 54| - **Server-level logs**: HTTP requests, API calls, and server events are logged using pino in the `~/.claude-code-router/logs/` directory with filenames like `ccr-*.log`\\n 55| - **Application-level logs**: Routing decisions and business logic events are logged in `~/.claude-code-router/claude-code-router.log`\\n 56|- **`APIKEY`** (optional): You can set a secret key to authenticate requests. When set, clients must provide this key in the `Authorization` header (e.g., `Bearer your-secret-key`) or the `x-api-key` header. Example: `\\\"APIKEY\\\": \\\"your-secret-key\\\"`.\\n 57|- **`HOST`** (optional): You can set the host address for the server. If `APIKEY` is not set, the host will be forced to `127.0.0.1` for security reasons to prevent unauthorized access. Example: `\\\"HOST\\\": \\\"0.0.0.0\\\"`.\\n 58|- **`NON_INTERACTIVE_MODE`** (optional): When set to `true`, enables compatibility with non-interactive environments like GitHub Actions, Docker containers, or other CI/CD systems. This sets appropriate environment variables (`CI=true`, `FORCE_COLOR=0`, etc.) and configures stdin handling to prevent the process from hanging in automated environments. Example: `\\\"NON_INTERACTIVE_MODE\\\": true`.\\n 59|\\n 60|- **`Providers`**: Used to configure different model providers.\\n 61|- **`Router`**: Used to set up routing rules. `default` specifies the default model, which will be used for all requests if no other route is configured.\\n 62|- **`API_TIMEOUT_MS`**: Specifies the timeout for API calls in milliseconds.\\n 63|\\n 64|#### Environment Variable Interpolation\\n 65|\\n 66|Claude Code Router supports environment variable interpolation for secure API key management. You can reference environment variables in your `config.json` using either `$VAR_NAME` or `${VAR_NAME}` syntax:\\n 67|\\n 68|```json\\n 69|{\\n 70| \\\"OPENAI_API_KEY\\\": \\\"$OPENAI_API_KEY\\\",\\n 71| \\\"GEMINI_API_KEY\\\": \\\"${GEMINI_API_KEY}\\\",\\n 72| \\\"Providers\\\": [\\n 73| {\\n 74| \\\"name\\\": \\\"openai\\\",\\n 75| \\\"api_base_url\\\": \\\"https://api.openai.com/v1/chat/completions\\\",\\n 76| \\\"api_key\\\": \\\"$OPENAI_API_KEY\\\",\\n 77| \\\"models\\\": [\\\"gpt-5\\\", \\\"gpt-5-mini\\\"]\\n 78| }\\n 79| ]\\n 80|}\\n 81|```\\n 82|\\n 83|This allows you to keep sensitive API keys in environment variables instead of hardcoding them in configuration files. The interpolation works recursively through nested objects and arrays.\\n 84|\\n 85|Here is a comprehensive example:\\n 86|\\n 87|```json\\n 88|{\\n 89| \\\"APIKEY\\\": \\\"your-secret-key\\\",\\n 90| \\\"PROXY_URL\\\": \\\"http://127.0.0.1:7890\\\",\\n 91| \\\"LOG\\\": true,\\n 92| \\\"API_TIMEOUT_MS\\\": 600000,\\n 93| \\\"NON_INTERACTIVE_MODE\\\": false,\\n 94| \\\"Providers\\\": [\\n 95| {\\n 96| \\\"name\\\": \\\"openrouter\\\",\\n 97| \\\"api_base_url\\\": \\\"https://openrouter.ai/api/v1/chat/completions\\\",\\n 98| \\\"api_key\\\": \\\"sk-xxx\\\",\\n 99| \\\"models\\\": [\\n 100| \\\"google/gemini-2.5-pro-preview\\\",\\n 101| \\\"anthropic/claude-sonnet-4\\\",\\n 102| \\\"anthropic/claude-3.5-sonnet\\\",\\n 103| \\\"anthropic/claude-3.7-sonnet:thinking\\\"\\n 104| ],\\n 105| \\\"transformer\\\": {\\n 106| \\\"use\\\": [\\\"openrouter\\\"]\\n 107| }\\n 108| },\\n 109| {\\n 110| \\\"name\\\": \\\"deepseek\\\",\\n 111| \\\"api_base_url\\\": \\\"https://api.deepseek.com/chat/completions\\\",\\n 112| \\\"api_key\\\": \\\"sk-xxx\\\",\\n 113| \\\"models\\\": [\\\"deepseek-chat\\\", \\\"deepseek-reasoner\\\"],\\n 114| \\\"transformer\\\": {\\n 115| \\\"use\\\": [\\\"deepseek\\\"],\\n 116| \\\"deepseek-chat\\\": {\\n 117| \\\"use\\\": [\\\"tooluse\\\"]\\n 118| }\\n 119| }\\n 120| },\\n 121| {\\n 122| \\\"name\\\": \\\"ollama\\\",\\n 123| \\\"api_base_url\\\": \\\"http://localhost:11434/v1/chat/completions\\\",\\n 124| \\\"api_key\\\": \\\"ollama\\\",\\n 125| \\\"models\\\": [\\\"qwen2.5-coder:latest\\\"]\\n 126| },\\n 127| {\\n 128| \\\"name\\\": \\\"gemini\\\",\\n 129| \\\"api_base_url\\\": \\\"https://generativelanguage.googleapis.com/v1beta/models/\\\",\\n 130| \\\"api_key\\\": \\\"sk-xxx\\\",\\n 131| \\\"models\\\": [\\\"gemini-2.5-flash\\\", \\\"gemini-2.5-pro\\\"],\\n 132| \\\"transformer\\\": {\\n 133| \\\"use\\\": [\\\"gemini\\\"]\\n 134| }\\n 135| },\\n 136| {\\n 137| \\\"name\\\": \\\"volcengine\\\",\\n 138| \\\"api_base_url\\\": \\\"https://ark.cn-beijing.volces.com/api/v3/chat/completions\\\",\\n 139| \\\"api_key\\\": \\\"sk-xxx\\\",\\n 140| \\\"models\\\": [\\\"deepseek-v3-250324\\\", \\\"deepseek-r1-250528\\\"],\\n 141| \\\"transformer\\\": {\\n 142| \\\"use\\\": [\\\"deepseek\\\"]\\n 143| }\\n 144| },\\n 145| {\\n 146| \\\"name\\\": \\\"modelscope\\\",\\n 147| \\\"api_base_url\\\": \\\"https://api-inference.modelscope.cn/v1/chat/completions\\\",\\n 148| \\\"api_key\\\": \\\"\\\",\\n 149| \\\"models\\\": [\\\"Qwen/Qwen3-Coder-480B-A35B-Instruct\\\", \\\"Qwen/Qwen3-235B-A22B-Thinking-2507\\\"],\\n 150| \\\"transformer\\\": {\\n 151|\", \"total_lines\": 702, \"file_size\": 25286, \"truncated\": true, \"hint\": \"Use offset=151 to continue reading (showing 1-150 of 702 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_fhfxpoxs" }, { "role": "assistant", "content": "", "reasoning": "The config format in v2.0.0 uses `api_base_url` (not `api_base_url` — wait, they already use `api_base_url`). The issue might be that in v2.0.0, the `api_base_url` must end with `/chat/completions` or similar, but our config has `https://ollama.com/v1/chat/completions` which looks correct.\n\nWait, the error says \"Provider 'undefined' not found\". The config has provider `\"name\": \"ollama\"` and Router says `\"default\": \"ollama,deepseek-v4-pro\"`. Maybe v2.0.0 changed how the Router format works — perhaps it's now an object instead of comma-separated strings?\n\nLet me look at the Router section of the README and check if there are examples for v2.0.0.", "finish_reason": "tool_calls", "reasoning_content": "The config format in v2.0.0 uses `api_base_url` (not `api_base_url` — wait, they already use `api_base_url`). The issue might be that in v2.0.0, the `api_base_url` must end with `/chat/completions` or similar, but our config has `https://ollama.com/v1/chat/completions` which looks correct.\n\nWait, the error says \"Provider 'undefined' not found\". The config has provider `\"name\": \"ollama\"` and Router says `\"default\": \"ollama,deepseek-v4-pro\"`. Maybe v2.0.0 changed how the Router format works — perhaps it's now an object instead of comma-separated strings?\n\nLet me look at the Router section of the README and check if there are examples for v2.0.0.", "tool_calls": [ { "id": "call_x6mrhowp", "call_id": "call_x6mrhowp", "response_item_id": "fc_x6mrhowp", "type": "function", "function": { "name": "read_file", "arguments": "{\"offset\":151,\"path\":\"/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/README.md\",\"limit\":100}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 151| \\\"use\\\": [\\n 152| [\\n 153| \\\"maxtoken\\\",\\n 154| {\\n 155| \\\"max_tokens\\\": 65536\\n 156| }\\n 157| ],\\n 158| \\\"enhancetool\\\"\\n 159| ],\\n 160| \\\"Qwen/Qwen3-235B-A22B-Thinking-2507\\\": {\\n 161| \\\"use\\\": [\\\"reasoning\\\"]\\n 162| }\\n 163| }\\n 164| },\\n 165| {\\n 166| \\\"name\\\": \\\"dashscope\\\",\\n 167| \\\"api_base_url\\\": \\\"https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions\\\",\\n 168| \\\"api_key\\\": \\\"\\\",\\n 169| \\\"models\\\": [\\\"qwen3-coder-plus\\\"],\\n 170| \\\"transformer\\\": {\\n 171| \\\"use\\\": [\\n 172| [\\n 173| \\\"maxtoken\\\",\\n 174| {\\n 175| \\\"max_tokens\\\": 65536\\n 176| }\\n 177| ],\\n 178| \\\"enhancetool\\\"\\n 179| ]\\n 180| }\\n 181| },\\n 182| {\\n 183| \\\"name\\\": \\\"aihubmix\\\",\\n 184| \\\"api_base_url\\\": \\\"https://aihubmix.com/v1/chat/completions\\\",\\n 185| \\\"api_key\\\": \\\"sk-\\\",\\n 186| \\\"models\\\": [\\n 187| \\\"Z/glm-4.5\\\",\\n 188| \\\"claude-opus-4-20250514\\\",\\n 189| \\\"gemini-2.5-pro\\\"\\n 190| ]\\n 191| }\\n 192| ],\\n 193| \\\"Router\\\": {\\n 194| \\\"default\\\": \\\"deepseek,deepseek-chat\\\",\\n 195| \\\"background\\\": \\\"ollama,qwen2.5-coder:latest\\\",\\n 196| \\\"think\\\": \\\"deepseek,deepseek-reasoner\\\",\\n 197| \\\"longContext\\\": \\\"openrouter,google/gemini-2.5-pro-preview\\\",\\n 198| \\\"longContextThreshold\\\": 60000,\\n 199| \\\"webSearch\\\": \\\"gemini,gemini-2.5-flash\\\"\\n 200| }\\n 201|}\\n 202|```\\n 203|\\n 204|### 3. Running Claude Code with the Router\\n 205|\\n 206|Start Claude Code using the router:\\n 207|\\n 208|```shell\\n 209|ccr code\\n 210|```\\n 211|\\n 212|> **Note**: After modifying the configuration file, you need to restart the service for the changes to take effect:\\n 213|>\\n 214|> ```shell\\n 215|> ccr restart\\n 216|> ```\\n 217|\\n 218|### 4. UI Mode\\n 219|\\n 220|For a more intuitive experience, you can use the UI mode to manage your configuration:\\n 221|\\n 222|```shell\\n 223|ccr ui\\n 224|```\\n 225|\\n 226|This will open a web-based interface where you can easily view and edit your `config.json` file.\\n 227|\\n 228|![UI](/blog/images/ui.png)\\n 229|\\n 230|### 5. CLI Model Management\\n 231|\\n 232|For users who prefer terminal-based workflows, you can use the interactive CLI model selector:\\n 233|\\n 234|```shell\\n 235|ccr model\\n 236|```\\n 237|![](blog/images/models.gif)\\n 238|\\n 239|This command provides an interactive interface to:\\n 240|\\n 241|- View current configuration:\\n 242|- See all configured models (default, background, think, longContext, webSearch, image)\\n 243|- Switch models: Quickly change which model is used for each router type\\n 244|- Add new models: Add models to existing providers\\n 245|- Create new providers: Set up complete provider configurations including:\\n 246| - Provider name and API endpoint\\n 247| - API key\\n 248| - Available models\\n 249| - Transformer configuration with support for:\\n 250| - Multiple transformers (openrouter, deepseek, gemini, etc.)\\n 251|\", \"total_lines\": 702, \"file_size\": 25286, \"truncated\": true, \"hint\": \"Use offset=251 to continue reading (showing 151-250 of 702 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_x6mrhowp" }, { "role": "assistant", "content": "", "reasoning": "Die Config-Struktur in der README zeigt das neue Format. Unser aktuelles Config hat `use: [\"deepseek\"]` als Array von Strings, aber in der README sehe ich `use: [\"openrouter\"]` und `use: [\"deepseek\"]` — das sieht korrekt aus.\n\nAber Moment — der Fehler sagt \"Provider 'undefined' not found\". Das deutet darauf hin, dass der `default` Router-Eintrag `\"ollama,deepseek-v4-pro\"` zwar den Provider \"ollama\" findet, aber dann irgendwie \"undefined\" als Provider bekommt. \n\nLass mich die Config mit der aktuellen Version nochmal checken. Vielleicht hat sich das Format zwischen v1 und v2 geändert. Der Fehler ist `Provider 'undefined' not found` — als ob der Router den Provider-Namen nicht auflösen kann. \n\nDie README zeigt `\"Router\": {\"default\": \"deepseek,deepseek-chat\"}` — das gleiche Format wie unser `\"default\": \"ollama,deepseek-v4-pro\"`. Also Provider-Name, Modell-Name.\n\nAber die neue Version v2.0.0 könnte eine `\"type\"` Property in Providers brauchen oder das Format der `api_base_url` hat sich geändert. Bei Ollama Cloud ist `api_base_url: \"https://ollama.com/v1/chat/completions\"` — aber ollama.com ist nicht die Ollama API, das ist ein Proxying-Dienst.\n\nLass mich den config.example.json aus der CCR-Installation checken um zu sehen, was sich in v2 geändert hat.", "finish_reason": "tool_calls", "reasoning_content": "Die Config-Struktur in der README zeigt das neue Format. Unser aktuelles Config hat `use: [\"deepseek\"]` als Array von Strings, aber in der README sehe ich `use: [\"openrouter\"]` und `use: [\"deepseek\"]` — das sieht korrekt aus.\n\nAber Moment — der Fehler sagt \"Provider 'undefined' not found\". Das deutet darauf hin, dass der `default` Router-Eintrag `\"ollama,deepseek-v4-pro\"` zwar den Provider \"ollama\" findet, aber dann irgendwie \"undefined\" als Provider bekommt. \n\nLass mich die Config mit der aktuellen Version nochmal checken. Vielleicht hat sich das Format zwischen v1 und v2 geändert. Der Fehler ist `Provider 'undefined' not found` — als ob der Router den Provider-Namen nicht auflösen kann. \n\nDie README zeigt `\"Router\": {\"default\": \"deepseek,deepseek-chat\"}` — das gleiche Format wie unser `\"default\": \"ollama,deepseek-v4-pro\"`. Also Provider-Name, Modell-Name.\n\nAber die neue Version v2.0.0 könnte eine `\"type\"` Property in Providers brauchen oder das Format der `api_base_url` hat sich geändert. Bei Ollama Cloud ist `api_base_url: \"https://ollama.com/v1/chat/completions\"` — aber ollama.com ist nicht die Ollama API, das ist ein Proxying-Dienst.\n\nLass mich den config.example.json aus der CCR-Installation checken um zu sehen, was sich in v2 geändert hat.", "tool_calls": [ { "id": "call_u1g040up", "call_id": "call_u1g040up", "response_item_id": "fc_u1g040up", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"cat /DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/config.example.json 2\\u003e/dev/null || find /DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router -name \\\"config.example*\\\" 2\\u003e/dev/null\"}" } }, { "id": "call_6qa2ruca", "call_id": "call_6qa2ruca", "response_item_id": "fc_6qa2ruca", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo journalctl -u claude-code-router --no-pager -n 30 2\\u003e\\u00261\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_u1g040up" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"May 24 09:13:13 ZimaOS systemd[1]: Started Claude Code Router.\\nMay 24 09:13:14 ZimaOS ccr[1213753]: Loaded JSON config from: /DATA/.local/.claude-code-router/config.json\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_6qa2ruca" }, { "role": "assistant", "content": "Die Config-Struktur hat sich mit CCR v2.0.0 geändert. Lass mich den genauen Fehler debuggen:", "reasoning": "Let me analyze the problem. The CCR v2.0.0 config format seems to have changed. Looking at the README example, the structure looks similar but let me check if there's a different issue. \n\nThe error is \"Provider 'undefined' not found\" — this means the router can't find the provider from the model name. Let me look at how the Router section works. In the README example:\n\n```json\n\"Router\": {\n \"default\": \"deepseek,deepseek-chat\",\n ...\n}\n```\n\nIn our config:\n```json\n\"Router\": {\n \"default\": \"ollama,deepseek-v4-pro\",\n ...\n}\n```\n\nThe format is \"provider_name,model_name\". When the request comes in with `\"model\": \"deepseek-v4-pro\"`, CCR should look it up in the Providers and find it in the \"ollama\" provider's models list.\n\nWait, actually looking at the code — the error says \"Provider 'undefined' not found\". This suggests the router is not finding the provider for the model at all. Let me check: when a request comes to `/v1/chat/completions` with `\"model\": \"deepseek-v4-pro\"`, the router needs to match it.\n\nLet me look at the `api_base_url` more carefully:\n```\n\"api_base_url\": \"https://ollama.com/v1/chat/completions\"\n```\n\nBut wait, the README example shows for Ollama:\n```\n\"api_base_url\": \"http://localhost:11434/v1/chat/completions\"\n```\n\nThe URL format looks standard. Let me think about what might be wrong...\n\nActually, looking at the config more carefully — the `api_base_url` is `\"https://ollama.com/v1/chat/completions\"`. The Ollama Cloud Pro endpoint. But this was working before with v1.x.\n\nLet me re-read the error:\n```\nProvider 'undefined' not found\n```\n\nThis means the `provider` variable in the routing code is literally `undefined`. Let me check if there's an issue with how the model name gets matched to a provider.\n\nIn the config, the Provider name is \"ollama\" and models include \"deepseek-v4-pro\". The Router.default is \"ollama,deepseek-v4-pro\". When a request comes in with model \"deepseek-v4-pro\", CCR should look through providers to find which one has this model in its models list. But apparently it's returning undefined.\n\nCould this be a path issue with the config? The config file is at `/DATA/.local/.claude-code-router/config.json` but maybe CCR v2 looks in `~/.claude-code-router/config.json` which resolves to `/root/.claude-code-router/` or `/home/az-a/.claude-code-router/`? The service unit sets `HOME=/DATA/.local`...\n\nWait, let me check — maybe the running process has a different HOME. Let me also check if there's a config at the default location.\n\nActually, the logs say \"Loaded JSON config from: /DATA/.local/.claude-code-router/config.json\" — so it loaded the right config.\n\nLet me try a different approach — let me look at the actual request that comes in and trace what happens. The issue might be simpler than I think. Let me also check if the config format requires something different for custom providers.\n\nActually wait — looking at the config again, I notice the `transformer` is set at the provider level with model-specific overrides. In the old v1 config:\n\n```json\n\"transformer\": {\n \"use\": [\"deepseek\"],\n \"deepseek-v4-pro\": {\n \"use\": [[\"maxtoken\", {\"max_tokens\": 65536}]]\n },\n \"kimi-k2.6\": {\n \"use\": [[\"maxtoken\", {\"max_tokens\": 65536}]]\n }\n}\n```\n\nBut the README example shows a slightly different structure for the per-model transformer:\n```json\n\"transformer\": {\n \"use\": [\"deepseek\"],\n \"deepseek-chat\": {\n \"use\": [\"tooluse\"]\n }\n}\n```\n\nHmm, the structure looks the same. Let me instead just try to use the `ccr model` command interactively to reconfigure, or check what the actual issue is by looking at the source code.\n\nLet me try another approach: test with the provider+model format directly in the request.\n\nActually, let me just try sending the request differently. Maybe the issue is that CCR v2 requires the provider prefix in the model field? Let me try `ollama/deepseek-v4-pro` or `ollama:deepseek-v4-pro`.", "finish_reason": "tool_calls", "reasoning_content": "Let me analyze the problem. The CCR v2.0.0 config format seems to have changed. Looking at the README example, the structure looks similar but let me check if there's a different issue. \n\nThe error is \"Provider 'undefined' not found\" — this means the router can't find the provider from the model name. Let me look at how the Router section works. In the README example:\n\n```json\n\"Router\": {\n \"default\": \"deepseek,deepseek-chat\",\n ...\n}\n```\n\nIn our config:\n```json\n\"Router\": {\n \"default\": \"ollama,deepseek-v4-pro\",\n ...\n}\n```\n\nThe format is \"provider_name,model_name\". When the request comes in with `\"model\": \"deepseek-v4-pro\"`, CCR should look it up in the Providers and find it in the \"ollama\" provider's models list.\n\nWait, actually looking at the code — the error says \"Provider 'undefined' not found\". This suggests the router is not finding the provider for the model at all. Let me check: when a request comes to `/v1/chat/completions` with `\"model\": \"deepseek-v4-pro\"`, the router needs to match it.\n\nLet me look at the `api_base_url` more carefully:\n```\n\"api_base_url\": \"https://ollama.com/v1/chat/completions\"\n```\n\nBut wait, the README example shows for Ollama:\n```\n\"api_base_url\": \"http://localhost:11434/v1/chat/completions\"\n```\n\nThe URL format looks standard. Let me think about what might be wrong...\n\nActually, looking at the config more carefully — the `api_base_url` is `\"https://ollama.com/v1/chat/completions\"`. The Ollama Cloud Pro endpoint. But this was working before with v1.x.\n\nLet me re-read the error:\n```\nProvider 'undefined' not found\n```\n\nThis means the `provider` variable in the routing code is literally `undefined`. Let me check if there's an issue with how the model name gets matched to a provider.\n\nIn the config, the Provider name is \"ollama\" and models include \"deepseek-v4-pro\". The Router.default is \"ollama,deepseek-v4-pro\". When a request comes in with model \"deepseek-v4-pro\", CCR should look through providers to find which one has this model in its models list. But apparently it's returning undefined.\n\nCould this be a path issue with the config? The config file is at `/DATA/.local/.claude-code-router/config.json` but maybe CCR v2 looks in `~/.claude-code-router/config.json` which resolves to `/root/.claude-code-router/` or `/home/az-a/.claude-code-router/`? The service unit sets `HOME=/DATA/.local`...\n\nWait, let me check — maybe the running process has a different HOME. Let me also check if there's a config at the default location.\n\nActually, the logs say \"Loaded JSON config from: /DATA/.local/.claude-code-router/config.json\" — so it loaded the right config.\n\nLet me try a different approach — let me look at the actual request that comes in and trace what happens. The issue might be simpler than I think. Let me also check if the config format requires something different for custom providers.\n\nActually wait — looking at the config again, I notice the `transformer` is set at the provider level with model-specific overrides. In the old v1 config:\n\n```json\n\"transformer\": {\n \"use\": [\"deepseek\"],\n \"deepseek-v4-pro\": {\n \"use\": [[\"maxtoken\", {\"max_tokens\": 65536}]]\n },\n \"kimi-k2.6\": {\n \"use\": [[\"maxtoken\", {\"max_tokens\": 65536}]]\n }\n}\n```\n\nBut the README example shows a slightly different structure for the per-model transformer:\n```json\n\"transformer\": {\n \"use\": [\"deepseek\"],\n \"deepseek-chat\": {\n \"use\": [\"tooluse\"]\n }\n}\n```\n\nHmm, the structure looks the same. Let me instead just try to use the `ccr model` command interactively to reconfigure, or check what the actual issue is by looking at the source code.\n\nLet me try another approach: test with the provider+model format directly in the request.\n\nActually, let me just try sending the request differently. Maybe the issue is that CCR v2 requires the provider prefix in the model field? Let me try `ollama/deepseek-v4-pro` or `ollama:deepseek-v4-pro`.", "tool_calls": [ { "id": "call_bpc3j33r", "call_id": "call_bpc3j33r", "response_item_id": "fc_bpc3j33r", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo journalctl -u claude-code-router --no-pager -n 50 2\\u003e\\u00261 | grep -i \\\"error\\\\|warn\\\\|undefined\\\\|provider\\\"\"}" } }, { "id": "call_pp8508p1", "call_id": "call_pp8508p1", "response_item_id": "fc_pp8508p1", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\n \\\"model\\\": \\\"ollama/deepseek-v4-pro\\\",\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Reply: OK\\\"}],\\n \\\"max_tokens\\\": 20\\n }' 2\\u003e\\u00261\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_bpc3j33r" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"error\\\":{\\\"message\\\":\\\"Provider 'undefined' not foundError: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"type\\\":\\\"api_error\\\",\\\"code\\\":\\\"provider_not_found\\\"}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_pp8508p1" }, { "role": "assistant", "content": "Der Fehler ist persistent. Lass mich tiefer in den CCR-Code schauen um das v2.0.0 Format zu verstehen:", "reasoning": "Der Fehler \"Provider 'undefined' not found\" kommt immer noch. Die Config wird aus `/DATA/.local/.claude-code-router/config.json` geladen, das Format scheint sich aber mit v2.0.0 geändert zu haben. Lass mich tiefer in den Source Code der v2.0.0 schauen um zu verstehen was das neue Format erwartet.", "finish_reason": "tool_calls", "reasoning_content": "Der Fehler \"Provider 'undefined' not found\" kommt immer noch. Die Config wird aus `/DATA/.local/.claude-code-router/config.json` geladen, das Format scheint sich aber mit v2.0.0 geändert zu haben. 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KC=wt((T7,af)=>{\\\"use strict\\\";var KO=Uc(),XO=JC(),eL=zC(),ZC=e=>{if(typeof e!=\\\"string\\\"||e.length===0||(e=KO(e),e.length===0))return 0;e=e.replace(eL(),\\\" \\\");let t=0;for(let r=0;r=127&&n<=159||n>=768&&n<=879||(n>65535&&r++,t+=XO(n)?2:1)}return t};af.exports=ZC;af.exports.default=ZC});var e1=wt((k7,XC)=>{\\\"use 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uf=wt((O7,r1)=>{var Iu=e1(),t1={};for(let e of Object.keys(Iu))t1[Iu[e]]=e;var kt={rgb:{channels:3,labels:\\\"rgb\\\"},hsl:{channels:3,labels:\\\"hsl\\\"},hsv:{channels:3,labels:\\\"hsv\\\"},hwb:{channels:3,labels:\\\"hwb\\\"},cmyk:{channels:4,labels:\\\"cmyk\\\"},xyz:{channels:3,labels:\\\"xyz\\\"},lab:{channels:3,labels:\\\"lab\\\"},lch:{channels:3,labels:\\\"lch\\\"},hex:{channels:1,labels:[\\\"hex\\\"]},keyword:{channels:1,labels:[\\\"keyword\\\"]},ansi16:{channels:1,labels:[\\\"ansi16\\\"]},ansi256:{channels:1,labels:[\\\"ansi256\\\"]},hcg:{channels:3,labels:[\\\"h\\\",\\\"c\\\",\\\"g\\\"]},apple:{channels:3,labels:[\\\"r16\\\",\\\"g16\\\",\\\"b16\\\"]},gray:{channels:1,labels:[\\\"gray\\\"]}};r1.exports=kt;for(let e of Object.keys(kt)){if(!(\\\"channels\\\"in kt[e]))throw new Error(\\\"missing channels property: \\\"+e);if(!(\\\"labels\\\"in kt[e]))throw new Error(\\\"missing channel labels property: \\\"+e);if(kt[e].labels.length!==kt[e].channels)throw new Error(\\\"channel and 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Promise(n=>setTimeout(n,t));let r=Date.now();for(;Date.now()-rsetTimeout(s,500)),!0;await new Promise(s=>setTimeout(s,100))}return!1}async function m4(){let e=oo();if(Ms&&!E4.includes(Ms)){let t=await(0,_n.readPresetFile)(Ms);if(t){let r=(0,_n.getPresetDir)(Ms),n=(0,_n.loadConfigFromManifest)(t,r),s=process.argv.slice(3),o=n.noServer!==!0,i={},a=null;if(n.provider&&typeof n.provider==\\\"string\\\"?a=(await Pn()).Providers?.find(c=>c.name===n.provider):n.Providers&&n.Providers.length>0&&(a=n.Providers[0]),o){let c=(await Pn()).PORT||3456;i={...i,ANTHROPIC_BASE_URL:`http://127.0.0.1:${c}/preset/${Ms}`}}else if(a){if(a.api_base_url){let l=a.api_base_url;l.endsWith(\\\"/v1/messages\\\")?l=l.slice(0,-12):l.endsWith(\\\"/\\\")&&(l=l.slice(0,-1)),i={...i,ANTHROPIC_BASE_URL:l}}a.api_key&&(i={...i,ANTHROPIC_AUTH_TOKEN:a.api_key})}let u={noServer:n.noServer,claudeCodeSettings:n.claudeCodeSettings,StatusLine:n.StatusLine};if(o&&!e){console.log(\\\"Service not running, starting service...\\\");let l=(0,qu.join)(__dirname,\\\"cli.js\\\"),c=(0,$s.spawn)(\\\"node\\\",[l,\\\"start\\\"],{detached:!0,stdio:\\\"ignore\\\"});c.on(\\\"error\\\",h=>{console.error(\\\"Failed to start service:\\\",h.message),process.exit(1)}),c.unref(),await bA()?Bu(s,u,i,Ms):(console.error(\\\"Service startup timeout, please manually run `ccr start` to start the service\\\"),process.exit(1))}else o&&!e&&(console.error(\\\"Service is not running. Please start it first with `ccr start`\\\"),process.exit(1)),Bu(s,u,i,Ms);return}else console.log(bd),process.exit(1)}switch(Ms){case\\\"start\\\":await Z0();break;case\\\"stop\\\":try{let l=parseInt((0,as.readFileSync)(_n.PID_FILE,\\\"utf-8\\\"));if(process.kill(l),Ci(),(0,as.existsSync)(_n.REFERENCE_COUNT_FILE))try{as.default.unlinkSync(_n.REFERENCE_COUNT_FILE)}catch{}console.log(\\\"claude code router service has been successfully stopped.\\\")}catch{console.log(\\\"Failed to stop the service. It may have already been stopped.\\\"),Ci()}break;case\\\"status\\\":await dC();break;case\\\"statusline\\\":let t=\\\"\\\";process.stdin.setEncoding(\\\"utf-8\\\"),process.stdin.on(\\\"readable\\\",()=>{let l;for(;(l=process.stdin.read())!==null;)t+=l}),process.stdin.on(\\\"end\\\",async()=>{try{let l=JSON.parse(t),c=process.argv[3],h=await Fw(l,c);console.log(h)}catch(l){console.error(\\\"Error parsing status line data:\\\",l),process.exit(1)}});break;case\\\"model\\\":await mw();break;case\\\"preset\\\":await mA(process.argv.slice(3));break;case\\\"install\\\":let r=process.argv[3];await mI(r);break;case\\\"activate\\\":case\\\"env\\\":await yw();break;case\\\"code\\\":if(e){let l=process.argv.slice(3);Bu(l)}else{console.log(\\\"Service not running, starting service...\\\");let l=(0,qu.join)(__dirname,\\\"cli.js\\\"),c=(0,$s.spawn)(\\\"node\\\",[l,\\\"start\\\"],{detached:!0,stdio:\\\"ignore\\\"});if(c.on(\\\"error\\\",h=>{console.error(\\\"Failed to start service:\\\",h.message),process.exit(1)}),c.unref(),await bA()){let h=process.argv.slice(3);Bu(h)}else console.error(\\\"Service startup timeout, please manually run `ccr start` to start the service\\\"),process.exit(1)}break;case\\\"ui\\\":if(!e){console.log(\\\"Service not running, starting service...\\\");let l=(0,qu.join)(__dirname,\\\"cli.js\\\"),c=(0,$s.spawn)(\\\"node\\\",[l,\\\"start\\\"],{detached:!0,stdio:\\\"ignore\\\"});if(c.on(\\\"error\\\",h=>{console.error(\\\"Failed to start service:\\\",h.message),process.exit(1)}),c.unref(),!await bA()){console.log(\\\"Service startup timeout, trying to start with default configuration...\\\");let{initDir:h,writeConfigFile:p,backupConfigFile:A}=(Ss(),Tb(fC));try{await h();let d=await A();d&&console.log(`Backed up existing configuration file to ${d}`),await p({PORT:3456,Providers:[],Router:{}}),console.log(\\\"Created minimal default configuration file at ~/.claude-code-router/config.json\\\"),console.log(\\\"Please edit this file with your actual configuration.\\\");let f=(0,$s.spawn)(\\\"node\\\",[l,\\\"start\\\"],{detached:!0,stdio:\\\"ignore\\\"});f.on(\\\"error\\\",g=>{console.error(\\\"Failed to start service with default config:\\\",g.message),process.exit(1)}),f.unref(),await bA(15e3)||(console.error(\\\"Service startup still failing. Please manually run `ccr start` to start the service and check the logs.\\\"),process.exit(1))}catch(d){console.error(\\\"Failed to create default configuration:\\\",d.message),process.exit(1)}}}let s=`${(await Qc()).endpoint}/ui/`;console.log(`Opening UI at ${s}`);let o=process.platform,i=\\\"\\\";o===\\\"win32\\\"?i=`start ${s}`:o===\\\"darwin\\\"?i=`open ${s}`:o===\\\"linux\\\"?i=`xdg-open ${s}`:(console.error(\\\"Unsupported platform for opening browser\\\"),process.exit(1)),(0,$s.exec)(i,l=>{l&&(console.error(\\\"Failed to open browser:\\\",l.message),process.exit(1))});break;case\\\"-v\\\":case\\\"version\\\":console.log(`claude-code-router version: ${xc}`);break;case\\\"restart\\\":try{let l=parseInt((0,as.readFileSync)(_n.PID_FILE,\\\"utf-8\\\"));if(process.kill(l),Ci(),(0,as.existsSync)(_n.REFERENCE_COUNT_FILE))try{as.default.unlinkSync(_n.REFERENCE_COUNT_FILE)}catch{}console.log(\\\"claude code router service has been stopped.\\\")}catch{console.log(\\\"Service was not running or failed to stop.\\\"),Ci()}console.log(\\\"Starting claude code router service...\\\");let a=(0,qu.join)(__dirname,\\\"cli.js\\\"),u=(0,$s.spawn)(\\\"node\\\",[a,\\\"start\\\"],{detached:!0,stdio:\\\"ignore\\\"});u.on(\\\"error\\\",l=>{console.error(\\\"Failed to start service:\\\",l),process.exit(1)}),u.unref(),console.log(\\\"\\\\u2705 Service started successfully in the background.\\\");break;case\\\"-h\\\":case\\\"help\\\":console.log(bd);break;default:console.log(bd),process.exit(1)}}m4().catch(console.error);\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_s0gqoag1" }, { "role": "assistant", "content": "Ich sehe — das Problem ist, dass CCR auf v2.0.0 aktualisiert wurde, aber die Config noch im v1-Format ist. Der Fehler \"Provider 'undefined'\" deutet auf ein API-Base-URL-Problem hin. In v2 wird `/v1/chat/completions` automatisch an die `api_base_url` angehängt, was bei unserer Config zu einer Dopplung führt: `https://ollama.com/v1/chat/completions/v1/chat/completions`.", "reasoning": "Let me analyze what I found. The CCR v2.0.0 has a different configuration format. Looking at the README example, I can see the key differences:\n\n1. In v2.0.0, the `api_base_url` for providers now points to the **full** chat completions endpoint, not just the base URL\n2. The Router keys use `provider,model` format\n3. The old config had `transformer` with `deepseek-v4-pro` and `kimi-k2.6` as top-level keys — but in v2, per-model transformer configs are under the model name\n\nLet me look at the exact error: \"Provider 'undefined' not found\". This means when CCR is trying to route a request, it's failing to look up the provider. Let me check the exact config format needed.\n\nLooking at the config.json reading code and the README example, the issue might be with the `api_base_url`. In v2.0.0, the `api_base_url` format seems to have changed — it now includes `/v1/chat/completions` in the URL.\n\nLet me also check if the issue is the Router format. In the old config:\n```json\n\"Router\": {\n \"default\": \"ollama,deepseek-v4-pro\",\n ...\n}\n```\n\nIn v2.0.0 README:\n```json\n\"Router\": {\n \"default\": \"deepseek,deepseek-chat\",\n ...\n}\n```\n\nThat looks the same format. The Provider name just needs to match.\n\nActually, the real issue might be simpler. Let me look at the exact error path. \"Provider 'undefined'\" — so the provider name is literally `undefined`. This means when CCR parses the Router configuration, it's getting `undefined` for the provider name.\n\nWait, let me re-read the config.json:\n```json\n\"Router\": {\n \"default\": \"ollama,deepseek-v4-pro\",\n \"think\": \"ollama,kimi-k2.6\",\n \"background\": \"ollama,gemma3:4b\",\n ...\n}\n```\n\nAnd the provider:\n```json\n{\n \"name\": \"ollama\",\n \"api_base_url\": \"https://ollama.com/v1/chat/completions\",\n ...\n}\n```\n\nActually, the api_base_url is `https://ollama.com/v1/chat/completions` — that's already the full endpoint. In v1, it was `https://ollama.com/v1` and it would append `/chat/completions`. In v2, it might append `/v1/chat/completions` AGAIN, giving `https://ollama.com/v1/chat/completions/v1/chat/completions`.\n\nOr more likely, the issue is that in v2 the api_base_url format changed. Let me check by looking at the CCR source code more carefully.\n\nActually, I think the problem is likely the `api_base_url` format change between v1 and v2. Let me fix the config:\n\n1. The `api_base_url` should probably be the base URL (without `/v1/chat/completions` in v2.0.0 since the README examples show it appended)\n2. Or it should match the new format\n\nLet me just fix the config and restart. The most likely issue is the `api_base_url` — it should be `https://ollama.com/v1` in v2, and CCR will append `/chat/completions`.\n\nActually wait — looking more carefully at the README examples:\n- `\"api_base_url\": \"https://api.openai.com/v1/chat/completions\"` — full endpoint path\n- `\"api_base_url\": \"https://openrouter.ai/api/v1/chat/completions\"` — full endpoint path\n- `\"api_base_url\": \"http://localhost:11434/v1/chat/completions\"` — full endpoint path\n\nSo in v2, the api_base_url INCLUDES `/v1/chat/completions`. Our current config already has that: `https://ollama.com/v1/chat/completions`. So that should be fine.\n\nHmm, let me think again. The error says `Provider 'undefined' not found`. This means the function that looks up a provider by name is receiving `undefined` as the name. \n\nLet me check if maybe the issue is that the Router is parsing \"ollama,deepseek-v4-pro\" but not finding the provider because of some parsing change in v2.\n\nActually, I bet the issue is with how the Router routes work in v2. Let me look at the code around where the error is thrown:\n\nIn the cli.js at position 582:7451, there's `qn` function. Let me search for the actual error throwing code.\n\nWait, I need to be smarter. Let me just update the config to match the v2.0.0 format exactly and test. The key issue is likely the `api_base_url` format. Let me change it.\n\nActually, I bet the problem is: in v2.0.0, `api_base_url` now should be the base URL (without `/v1/chat/completions` or with just `/v1`), and CCR auto-appends the endpoint. Let me look at the Ollama Cloud Pro base URL. The provider is using `https://ollama.com/v1`. But in our config we have `https://ollama.com/v1/chat/completions`. Maybe v2 doubles up the path.\n\nLet me just fix both potential issues:\n1. Change api_base_url to `https://ollama.com/v1` (just the base path)\n2. Keep everything else the same\n\nActually, let me grep for what the api_base_url handling looks like in v2:", "finish_reason": "tool_calls", "reasoning_content": "Let me analyze what I found. The CCR v2.0.0 has a different configuration format. Looking at the README example, I can see the key differences:\n\n1. In v2.0.0, the `api_base_url` for providers now points to the **full** chat completions endpoint, not just the base URL\n2. The Router keys use `provider,model` format\n3. The old config had `transformer` with `deepseek-v4-pro` and `kimi-k2.6` as top-level keys — but in v2, per-model transformer configs are under the model name\n\nLet me look at the exact error: \"Provider 'undefined' not found\". This means when CCR is trying to route a request, it's failing to look up the provider. Let me check the exact config format needed.\n\nLooking at the config.json reading code and the README example, the issue might be with the `api_base_url`. In v2.0.0, the `api_base_url` format seems to have changed — it now includes `/v1/chat/completions` in the URL.\n\nLet me also check if the issue is the Router format. In the old config:\n```json\n\"Router\": {\n \"default\": \"ollama,deepseek-v4-pro\",\n ...\n}\n```\n\nIn v2.0.0 README:\n```json\n\"Router\": {\n \"default\": \"deepseek,deepseek-chat\",\n ...\n}\n```\n\nThat looks the same format. The Provider name just needs to match.\n\nActually, the real issue might be simpler. Let me look at the exact error path. \"Provider 'undefined'\" — so the provider name is literally `undefined`. This means when CCR parses the Router configuration, it's getting `undefined` for the provider name.\n\nWait, let me re-read the config.json:\n```json\n\"Router\": {\n \"default\": \"ollama,deepseek-v4-pro\",\n \"think\": \"ollama,kimi-k2.6\",\n \"background\": \"ollama,gemma3:4b\",\n ...\n}\n```\n\nAnd the provider:\n```json\n{\n \"name\": \"ollama\",\n \"api_base_url\": \"https://ollama.com/v1/chat/completions\",\n ...\n}\n```\n\nActually, the api_base_url is `https://ollama.com/v1/chat/completions` — that's already the full endpoint. In v1, it was `https://ollama.com/v1` and it would append `/chat/completions`. In v2, it might append `/v1/chat/completions` AGAIN, giving `https://ollama.com/v1/chat/completions/v1/chat/completions`.\n\nOr more likely, the issue is that in v2 the api_base_url format changed. Let me check by looking at the CCR source code more carefully.\n\nActually, I think the problem is likely the `api_base_url` format change between v1 and v2. Let me fix the config:\n\n1. The `api_base_url` should probably be the base URL (without `/v1/chat/completions` in v2.0.0 since the README examples show it appended)\n2. Or it should match the new format\n\nLet me just fix the config and restart. The most likely issue is the `api_base_url` — it should be `https://ollama.com/v1` in v2, and CCR will append `/chat/completions`.\n\nActually wait — looking more carefully at the README examples:\n- `\"api_base_url\": \"https://api.openai.com/v1/chat/completions\"` — full endpoint path\n- `\"api_base_url\": \"https://openrouter.ai/api/v1/chat/completions\"` — full endpoint path\n- `\"api_base_url\": \"http://localhost:11434/v1/chat/completions\"` — full endpoint path\n\nSo in v2, the api_base_url INCLUDES `/v1/chat/completions`. Our current config already has that: `https://ollama.com/v1/chat/completions`. So that should be fine.\n\nHmm, let me think again. The error says `Provider 'undefined' not found`. This means the function that looks up a provider by name is receiving `undefined` as the name. \n\nLet me check if maybe the issue is that the Router is parsing \"ollama,deepseek-v4-pro\" but not finding the provider because of some parsing change in v2.\n\nActually, I bet the issue is with how the Router routes work in v2. Let me look at the code around where the error is thrown:\n\nIn the cli.js at position 582:7451, there's `qn` function. Let me search for the actual error throwing code.\n\nWait, I need to be smarter. Let me just update the config to match the v2.0.0 format exactly and test. The key issue is likely the `api_base_url` format. Let me change it.\n\nActually, I bet the problem is: in v2.0.0, `api_base_url` now should be the base URL (without `/v1/chat/completions` or with just `/v1`), and CCR auto-appends the endpoint. Let me look at the Ollama Cloud Pro base URL. The provider is using `https://ollama.com/v1`. But in our config we have `https://ollama.com/v1/chat/completions`. Maybe v2 doubles up the path.\n\nLet me just fix both potential issues:\n1. Change api_base_url to `https://ollama.com/v1` (just the base path)\n2. Keep everything else the same\n\nActually, let me grep for what the api_base_url handling looks like in v2:", "tool_calls": [ { "id": "call_edli9snv", "call_id": "call_edli9snv", "response_item_id": "fc_edli9snv", "type": "function", "function": { "name": "todo", "arguments": "{\"todos\":[{\"content\":\"CCR Config auf v2.0.0 Format migrieren\",\"id\":\"1\",\"status\":\"in_progress\"},{\"content\":\"CCR neustarten und Funktionstest\",\"id\":\"2\",\"status\":\"pending\"},{\"content\":\"Systemd-Unit fixen falls nötig\",\"id\":\"3\",\"status\":\"pending\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"1\", \"content\": \"CCR Config auf v2.0.0 Format migrieren\", \"status\": \"in_progress\"}, {\"id\": \"2\", \"content\": \"CCR neustarten und Funktionstest\", \"status\": \"pending\"}, {\"id\": \"3\", \"content\": \"Systemd-Unit fixen falls nötig\", \"status\": \"pending\"}], \"summary\": {\"total\": 3, \"pending\": 2, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}", "tool_call_id": "call_edli9snv" }, { "role": "assistant", "content": "Das Problem ist klar: CCR v2.0.0 hängt `/v1/chat/completions` selbst an die `api_base_url` an — unsere Config hat den Pfad schon drin, was zu einer Dopplung führt und den Provider nicht findet.", "reasoning": "The issue is clear: CCR v2.0.0 uses a different config format. The `api_base_url` should NOT include `/v1/chat/completions` — CCR v2 appends that automatically. Our current config has `https://ollama.com/v1/chat/completions` which means the actual request goes to `https://ollama.com/v1/chat/completions/v1/chat/completions` — a double path.\n\nI need to update the config.json to remove `/v1/chat/completions` from api_base_url.", "finish_reason": "tool_calls", "reasoning_content": "The issue is clear: CCR v2.0.0 uses a different config format. The `api_base_url` should NOT include `/v1/chat/completions` — CCR v2 appends that automatically. Our current config has `https://ollama.com/v1/chat/completions` which means the actual request goes to `https://ollama.com/v1/chat/completions/v1/chat/completions` — a double path.\n\nI need to update the config.json to remove `/v1/chat/completions` from api_base_url.", "tool_calls": [ { "id": "call_h8g57x17", "call_id": "call_h8g57x17", "response_item_id": "fc_h8g57x17", "type": "function", "function": { "name": "patch", "arguments": "{\"path\":\"/DATA/.local/.claude-code-router/config.json\",\"old_string\":\" \\\"api_base_url\\\": \\\"https://ollama.com/v1/chat/completions\\\",\",\"new_string\":\" \\\"api_base_url\\\": \\\"https://ollama.com/v1\\\",\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//DATA/.local/.claude-code-router/config.json\\n+++ b//DATA/.local/.claude-code-router/config.json\\n@@ -4,7 +4,7 @@\\n \\\"Providers\\\": [\\n {\\n \\\"name\\\": \\\"ollama\\\",\\n- \\\"api_base_url\\\": \\\"https://ollama.com/v1/chat/completions\\\",\\n+ \\\"api_base_url\\\": \\\"https://ollama.com/v1\\\",\\n \\\"api_key\\\": \\\"eaf9ec548a9f4f789cc2eeb0d7cc61e3.VI7OQTAxEEGB1fqyil_1oJob\\\",\\n \\\"models\\\": [\\n \\\"deepseek-v4-pro\\\",\\n\", \"files_modified\": [\"/DATA/.local/.claude-code-router/config.json\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_h8g57x17" }, { "role": "assistant", "content": "", "reasoning": "Die API-Base-URL wurde von `https://ollama.com/v1/chat/completions` auf `https://ollama.com/v1` korrigiert. Jetzt muss ich CCR neustarten und testen.", "finish_reason": "tool_calls", "reasoning_content": "Die API-Base-URL wurde von `https://ollama.com/v1/chat/completions` auf `https://ollama.com/v1` korrigiert. Jetzt muss ich CCR neustarten und testen.", "tool_calls": [ { "id": "call_ocs5uamj", "call_id": "call_ocs5uamj", "response_item_id": "fc_ocs5uamj", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"CCR Config auf v2.0.0 Format migrieren\",\"id\":\"1\",\"status\":\"completed\"},{\"content\":\"CCR neustarten und Funktionstest\",\"id\":\"2\",\"status\":\"in_progress\"}]}" } }, { "id": "call_pdqsh2il", "call_id": "call_pdqsh2il", "response_item_id": "fc_pdqsh2il", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl restart claude-code-router.service 2\\u003e\\u00261; sleep 3; sudo systemctl status claude-code-router.service 2\\u003e\\u00261 | head -12\"}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"1\", \"content\": \"CCR Config auf v2.0.0 Format migrieren\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"CCR neustarten und Funktionstest\", \"status\": \"in_progress\"}, {\"id\": \"3\", \"content\": \"Systemd-Unit fixen falls nötig\", \"status\": \"pending\"}], \"summary\": {\"total\": 3, \"pending\": 1, \"in_progress\": 1, \"completed\": 1, \"cancelled\": 0}}", "tool_call_id": "call_ocs5uamj" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"● claude-code-router.service - Claude Code Router\\n Loaded: loaded (/etc/systemd/system/claude-code-router.service; enabled; preset: enabled)\\n Active: active (running) since Sun 2026-05-24 09:15:28 CEST; 3s ago\\n Invocation: f6b4b434642247cabd32b64a1cb2977e\\n Main PID: 1217370 (node)\\n Tasks: 11 (limit: 9313)\\n Memory: 94.2M (peak: 114.6M)\\n CPU: 938ms\\n CGroup: /system.slice/claude-code-router.service\\n └─1217370 node /DATA/.local/npm-global/bin/ccr start\\n\\nMay 24 09:15:28 ZimaOS systemd[1]: Started Claude Code Router.\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_pdqsh2il" }, { "role": "assistant", "content": "Läuft. Jetzt der Funktionstest:", "reasoning": "CCR is running. Now let me test it with a simple API call to see if the fix worked.", "finish_reason": "tool_calls", "reasoning_content": "CCR is running. Now let me test it with a simple API call to see if the fix worked.", "tool_calls": [ { "id": "call_e8m0oi7m", "call_id": "call_e8m0oi7m", "response_item_id": "fc_e8m0oi7m", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\n \\\"model\\\": \\\"deepseek-v4-pro\\\",\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Reply with exactly one word: OK\\\"}],\\n \\\"max_tokens\\\": 20\\n }' 2\\u003e\\u00261\",\"timeout\":60}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"error\\\":{\\\"message\\\":\\\"Provider 'undefined' not foundError: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"type\\\":\\\"api_error\\\",\\\"code\\\":\\\"provider_not_found\\\"}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_e8m0oi7m" }, { "role": "assistant", "content": "Immer noch der selbe Fehler. Die api_base_url-Änderung hat nicht gereicht. Lass mich die Logs checken:", "reasoning": "Der Fehler bleibt. \"Provider 'undefined'\" — das deutet darauf hin, dass der Provider-Name beim Routing nicht aufgelöst wird. Der Fehler kommt von `qn` in der Zeile `582:7451` des cli.js. Vermutlich ist das Routing so: Es versucht den Provider-Namen aus dem Model-String zu extrahieren (z.B. \"ollama,deepseek-v4-pro\" aus dem Router), aber `split(\",\")` ergibt `undefined`.\n\nLass mich die Logs checken — vielleicht gibt es mehr Details.", "finish_reason": "tool_calls", "reasoning_content": "Der Fehler bleibt. \"Provider 'undefined'\" — das deutet darauf hin, dass der Provider-Name beim Routing nicht aufgelöst wird. Der Fehler kommt von `qn` in der Zeile `582:7451` des cli.js. Vermutlich ist das Routing so: Es versucht den Provider-Namen aus dem Model-String zu extrahieren (z.B. \"ollama,deepseek-v4-pro\" aus dem Router), aber `split(\",\")` ergibt `undefined`.\n\nLass mich die Logs checken — vielleicht gibt es mehr Details.", "tool_calls": [ { "id": "call_v0r7ykv9", "call_id": "call_v0r7ykv9", "response_item_id": "fc_v0r7ykv9", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"ls -t /DATA/.local/.claude-code-router/logs/ | head -3\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"ccr-20260524091529.log\\nccr-20260524091314.log\\nccr-20260524091232.log\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_v0r7ykv9" }, { "role": "assistant", "content": "", "reasoning": "The error is \"Provider 'undefined' not found\", suggesting the model string `deepseek-v4-pro` isn't being parsed correctly to extract the provider name. In CCR v2, the model parameter in the API might need to be in `provider,model` format or `provider/model` format. Let me check the logs to see what's happening, and also try the alternative model format.", "finish_reason": "tool_calls", "reasoning_content": "The error is \"Provider 'undefined' not found\", suggesting the model string `deepseek-v4-pro` isn't being parsed correctly to extract the provider name. In CCR v2, the model parameter in the API might need to be in `provider,model` format or `provider/model` format. Let me check the logs to see what's happening, and also try the alternative model format.", "tool_calls": [ { "id": "call_y5up41nr", "call_id": "call_y5up41nr", "response_item_id": "fc_y5up41nr", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"tail -30 /DATA/.local/.claude-code-router/logs/ccr-20260524091529.log\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: vertex-claude (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: deepseek (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: tooluse (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: openrouter (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: OpenAI (endpoint: /v1/chat/completions)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: maxtoken (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: groq (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: cleancache (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: enhancetool (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: reasoning (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: sampling (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: maxcompletiontokens (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: cerebras (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: streamoptions (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: customparams (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: vercel (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929023,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: openai-responses (endpoint: /v1/responses)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929024,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"register transformer: forcereasoning (no endpoint)\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929105,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"TokenizerService initialized successfully\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929105,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"ollama provider registered\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929190,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://127.0.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929190,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://192.168.178.171:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929190,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://172.29.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929190,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://172.17.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929190,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://172.18.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929190,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"Server listening at http://172.21.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606929191,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"msg\\\":\\\"🚀 LLMs API server listening on http://127.0.0.1:3456\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606936411,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"reqId\\\":\\\"req-1\\\",\\\"req\\\":{\\\"method\\\":\\\"POST\\\",\\\"url\\\":\\\"/v1/chat/completions\\\",\\\"host\\\":\\\"localhost:3456\\\",\\\"remoteAddress\\\":\\\"127.0.0.1\\\",\\\"remotePort\\\":37296},\\\"msg\\\":\\\"incoming request\\\"}\\n{\\\"level\\\":50,\\\"time\\\":1779606936416,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"reqId\\\":\\\"req-1\\\",\\\"err\\\":{\\\"type\\\":\\\"Error\\\",\\\"message\\\":\\\"Provider 'undefined' not found\\\",\\\"stack\\\":\\\"Error: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"statusCode\\\":404,\\\"code\\\":\\\"provider_not_found\\\"},\\\"msg\\\":\\\"Provider 'undefined' not found\\\"}\\n{\\\"level\\\":30,\\\"time\\\":1779606936421,\\\"pid\\\":1217370,\\\"hostname\\\":\\\"ZimaOS\\\",\\\"reqId\\\":\\\"req-1\\\",\\\"res\\\":{\\\"statusCode\\\":404},\\\"responseTime\\\":9.388790011405945,\\\"msg\\\":\\\"request completed\\\"}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_y5up41nr" }, { "role": "assistant", "content": "Der Provider registriert sich zwar (\"ollama provider registered\"), aber beim Request schlägt die Auflösung fehl. In v2.0.0 wurde vielleicht das Parsing des `model`-Parameters geändert. Lass mich das testen:", "reasoning": "Der Fehler ist \"Provider 'undefined' not found\" — der Provider-Name wird beim Parsen des Requests nicht richtig aufgelöst. Die URL `/v1/chat/completions` und der Body `{\"model\": \"deepseek-v4-pro\", ...}` kommen an, aber irgendwo in der v2.0.0-Codebase wird der Provider-Name nicht korrekt aus dem Modell-Namen oder Router extrahiert.\n\nIn v2 wurde möglicherweise das Provider-Erkennungsformat geändert. Früher wurde der Router-Eintrag `\"default\": \"ollama,deepseek-v4-pro\"` in Provider \"ollama\" und Model \"deepseek-v4-pro\" aufgelöst. Vielleicht erwartet v2 jetzt `\"ollama/deepseek-v4-pro\"` oder ein anderes Format.\n\nLass mich tiefer in den Code schauen, wie v2 den Provider parst.", "finish_reason": "tool_calls", "reasoning_content": "Der Fehler ist \"Provider 'undefined' not found\" — der Provider-Name wird beim Parsen des Requests nicht richtig aufgelöst. Die URL `/v1/chat/completions` und der Body `{\"model\": \"deepseek-v4-pro\", ...}` kommen an, aber irgendwo in der v2.0.0-Codebase wird der Provider-Name nicht korrekt aus dem Modell-Namen oder Router extrahiert.\n\nIn v2 wurde möglicherweise das Provider-Erkennungsformat geändert. Früher wurde der Router-Eintrag `\"default\": \"ollama,deepseek-v4-pro\"` in Provider \"ollama\" und Model \"deepseek-v4-pro\" aufgelöst. Vielleicht erwartet v2 jetzt `\"ollama/deepseek-v4-pro\"` oder ein anderes Format.\n\nLass mich tiefer in den Code schauen, wie v2 den Provider parst.", "tool_calls": [ { "id": "call_czejxdco", "call_id": "call_czejxdco", "response_item_id": "fc_czejxdco", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\n \\\"model\\\": \\\"ollama/deepseek-v4-pro\\\",\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Reply with exactly: OK\\\"}],\\n \\\"max_tokens\\\": 20\\n }' 2\\u003e\\u00261\",\"timeout\":60}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"error\\\":{\\\"message\\\":\\\"Provider 'undefined' not foundError: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"type\\\":\\\"api_error\\\",\\\"code\\\":\\\"provider_not_found\\\"}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_czejxdco" }, { "role": "assistant", "content": "", "reasoning": "Let me think about this more carefully. The error \"Provider 'undefined' not found\" suggests that the provider name is not being extracted from the model parameter correctly. \n\nIn CCR v2.0.0, the API might expect a different format. Let me check what happens when I try the Claude Code CLI approach instead. Maybe the issue is that `/v1/chat/completions` endpoint is only for the OpenAI-compatible forwarding when Claude Code talks to it. The actual model routing might happen through a different mechanism.\n\nActually, looking at the log output more carefully: \"ollama provider registered\" — the provider IS registered. But then when a request comes in, it can't find it. Let me look at how the model parameter is parsed in v2.0.0.\n\nIn v1.x, the format was `deepseek-v4-pro` and it would use the Router config to map to the right provider. In v2.0.0, looking at the README, the Router section has formats like `\"default\": \"deepseek,deepseek-chat\"` which suggests `provider,model` format. So maybe when calling the API, you need to pass `providername,modelname` as the model?\n\nWait, but that's for the Router config. For the API call itself, maybe v2.0.0 uses `provider/model` format? Let me try both.\n\nActually, let me look at this differently. Maybe the issue is that CCR v2.0.0 changed how the internal routing works and the model parameter in the API call needs to be in a different format. Let me look at the ccr code command - it works with claude code directly and handles routing transparently.\n\nThe issue might be simpler: maybe the `OLLAMA_API_KEY` or some environment variable is not being read correctly, causing the provider to fail internally despite registering.\n\nLet me try with the default model from Router config:", "finish_reason": "tool_calls", "reasoning_content": "Let me think about this more carefully. The error \"Provider 'undefined' not found\" suggests that the provider name is not being extracted from the model parameter correctly. \n\nIn CCR v2.0.0, the API might expect a different format. Let me check what happens when I try the Claude Code CLI approach instead. Maybe the issue is that `/v1/chat/completions` endpoint is only for the OpenAI-compatible forwarding when Claude Code talks to it. The actual model routing might happen through a different mechanism.\n\nActually, looking at the log output more carefully: \"ollama provider registered\" — the provider IS registered. But then when a request comes in, it can't find it. Let me look at how the model parameter is parsed in v2.0.0.\n\nIn v1.x, the format was `deepseek-v4-pro` and it would use the Router config to map to the right provider. In v2.0.0, looking at the README, the Router section has formats like `\"default\": \"deepseek,deepseek-chat\"` which suggests `provider,model` format. So maybe when calling the API, you need to pass `providername,modelname` as the model?\n\nWait, but that's for the Router config. For the API call itself, maybe v2.0.0 uses `provider/model` format? Let me try both.\n\nActually, let me look at this differently. Maybe the issue is that CCR v2.0.0 changed how the internal routing works and the model parameter in the API call needs to be in a different format. Let me look at the ccr code command - it works with claude code directly and handles routing transparently.\n\nThe issue might be simpler: maybe the `OLLAMA_API_KEY` or some environment variable is not being read correctly, causing the provider to fail internally despite registering.\n\nLet me try with the default model from Router config:", "tool_calls": [ { "id": "call_gxtvqxqa", "call_id": "call_gxtvqxqa", "response_item_id": "fc_gxtvqxqa", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\n \\\"model\\\": \\\"ollama,deepseek-v4-pro\\\",\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Reply: OK\\\"}],\\n \\\"max_tokens\\\": 20\\n }' 2\\u003e\\u00261\",\"timeout\":60}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"error\\\":{\\\"message\\\":\\\"Provider 'undefined' not foundError: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"type\\\":\\\"api_error\\\",\\\"code\\\":\\\"provider_not_found\\\"}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_gxtvqxqa" }, { "role": "assistant", "content": "V2 hat grundlegend andere Config-Struktur. Schnellster Fix: Downgrade auf die letzte funktionierende Version.", "reasoning": "Kein Format funktioniert. Der CCR v2 hat anscheinend eine komplett andere Config-Struktur. Ich müsste entweder das v2-Config-Format aus dem Source-Code reverse-engineeren, oder CCR auf die alte Version downgraden die mit der aktuellen Config funktioniert hat. \n\nDer schnellste und robusteste Weg: Downgrade auf die vorherige CCR-Version, die funktioniert hat. Wir wissen dass es vorher lief (wenn auch mit Startproblemen).\n\nIch suche nach der letzten funktionierenden Version — in den Session-Logs sehe ich dass es am 20. Mai funktioniert hat. Lass mich die npm-Versionen checken und auf v1.x downgraden.", "finish_reason": "tool_calls", "reasoning_content": "Kein Format funktioniert. Der CCR v2 hat anscheinend eine komplett andere Config-Struktur. Ich müsste entweder das v2-Config-Format aus dem Source-Code reverse-engineeren, oder CCR auf die alte Version downgraden die mit der aktuellen Config funktioniert hat. \n\nDer schnellste und robusteste Weg: Downgrade auf die vorherige CCR-Version, die funktioniert hat. Wir wissen dass es vorher lief (wenn auch mit Startproblemen).\n\nIch suche nach der letzten funktionierenden Version — in den Session-Logs sehe ich dass es am 20. Mai funktioniert hat. Lass mich die npm-Versionen checken und auf v1.x downgraden.", "tool_calls": [ { "id": "call_0241acpu", "call_id": "call_0241acpu", "response_item_id": "fc_0241acpu", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl stop claude-code-router.service 2\\u003e\\u00261\"}" } }, { "id": "call_t1jg0zyf", "call_id": "call_t1jg0zyf", "response_item_id": "fc_t1jg0zyf", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"npm view @musistudio/claude-code-router versions --json 2\\u003e\\u00261 | python3 -c \\\"import sys,json; vs=json.load(sys.stdin); recent=[v for v in vs if v.startswith('1.')]; print('\\\\n'.join(recent[-10:]))\\\"\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_0241acpu" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"Traceback (most recent call last):\\n File \\\"\\\", line 1, in \\n File \\\"/usr/lib/python3.12/json/__init__.py\\\", line 293, in load\\n return loads(fp.read(),\\n ^^^^^^^^^^^^^^^^\\n File \\\"/usr/lib/python3.12/json/__init__.py\\\", line 346, in loads\\n return _default_decoder.decode(s)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/usr/lib/python3.12/json/decoder.py\\\", line 338, in decode\\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/usr/lib/python3.12/json/decoder.py\\\", line 356, in raw_decode\\n raise JSONDecodeError(\\\"Expecting value\\\", s, err.value) from None\\njson.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_t1jg0zyf" }, { "role": "assistant", "content": "", "reasoning": "The npm view command failed. Let me try it differently — maybe the output format is different. Let me just try downgrading to a known-good 1.x version.", "finish_reason": "tool_calls", "reasoning_content": "The npm view command failed. Let me try it differently — maybe the output format is different. Let me just try downgrading to a known-good 1.x version.", "tool_calls": [ { "id": "call_jklckb82", "call_id": "call_jklckb82", "response_item_id": "fc_jklckb82", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"npm view @musistudio/claude-code-router versions 2\\u003e\\u00261 | tail -20\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"npm error code EACCES\\nnpm error syscall mkdir\\nnpm error path /DATA/.npm\\nnpm error errno EACCES\\nnpm error\\nnpm error Your cache folder contains root-owned files, due to a bug in\\nnpm error previous versions of npm which has since been addressed.\\nnpm error\\nnpm error To permanently fix this problem, please run:\\nnpm error sudo chown -R 999:1000 \\\"/DATA/.npm\\\"\\nnpm error Log files were not written due to an error writing to the directory: /DATA/.npm/_logs\\nnpm error You can rerun the command with `--loglevel=verbose` to see the logs in your terminal\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_jklckb82" }, { "role": "assistant", "content": "", "reasoning": "npm has a cache permission issue. Let me use the correct npm prefix to query versions, then downgrade CCR to the last v1.x release.", "finish_reason": "tool_calls", "reasoning_content": "npm has a cache permission issue. Let me use the correct npm prefix to query versions, then downgrade CCR to the last v1.x release.", "tool_calls": [ { "id": "call_5zeczza6", "call_id": "call_5zeczza6", "response_item_id": "fc_5zeczza6", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 npm view @musistudio/claude-code-router versions 2\\u003e\\u00261 | grep -oP \\\"'\\\\K1\\\\.[^']*\\\" | tail -10\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_5zeczza6" }, { "role": "assistant", "content": "", "reasoning": "npm view failed. Let me try installing a specific older version directly or check what's available. Let me try to downgrade to a known-good 1.x version.", "finish_reason": "tool_calls", "reasoning_content": "npm view failed. Let me try installing a specific older version directly or check what's available. Let me try to downgrade to a known-good 1.x version.", "tool_calls": [ { "id": "call_3l8xn8kb", "call_id": "call_3l8xn8kb", "response_item_id": "fc_3l8xn8kb", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 npm install -g @musistudio/claude-code-router@1.0.48 2\\u003e\\u00261\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"npm error code EACCES\\nnpm error syscall mkdir\\nnpm error path /DATA/.npm\\nnpm error errno EACCES\\nnpm error\\nnpm error Your cache folder contains root-owned files, due to a bug in\\nnpm error previous versions of npm which has since been addressed.\\nnpm error\\nnpm error To permanently fix this problem, please run:\\nnpm error sudo chown -R 999:1000 \\\"/DATA/.npm\\\"\\nnpm error Log files were not written due to an error writing to the directory: /DATA/.npm/_logs\\nnpm error You can rerun the command with `--loglevel=verbose` to see the logs in your terminal\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_3l8xn8kb" }, { "role": "assistant", "content": "", "reasoning": "npm has permission issues with /DATA/.npm. I need to either fix permissions or use `--cache` with a writable directory. Let me also check if there's a working v1 version available in the node_modules already that I can just switch to.", "finish_reason": "tool_calls", "reasoning_content": "npm has permission issues with /DATA/.npm. I need to either fix permissions or use `--cache` with a writable directory. Let me also check if there's a working v1 version available in the node_modules already that I can just switch to.", "tool_calls": [ { "id": "call_mghysq65", "call_id": "call_mghysq65", "response_item_id": "fc_mghysq65", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 npm install -g @musistudio/claude-code-router@1.0.48 --cache /DATA/.local/npm-cache 2\\u003e\\u00261\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"npm warn deprecated node-domexception@1.0.0: Use your platform's native DOMException instead\\nnpm warn deprecated glob@11.1.0: Old versions of glob are not supported, and contain widely publicized security vulnerabilities, which have been fixed in the current version. Please update. Support for old versions may be purchased (at exorbitant rates) by contacting i@izs.me\\n\\nadded 144 packages in 9s\\n\\n41 packages are looking for funding\\n run `npm fund` for details\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_mghysq65" }, { "role": "assistant", "content": "", "reasoning": "The downgrade to 1.0.48 was successful. Now I need to:\n1. Restore the config to include `/v1/chat/completions` in the api_base_url (since v1.x expects it)\n2. Restart CCR\n3. Test", "finish_reason": "tool_calls", "reasoning_content": "The downgrade to 1.0.48 was successful. Now I need to:\n1. Restore the config to include `/v1/chat/completions` in the api_base_url (since v1.x expects it)\n2. Restart CCR\n3. Test", "tool_calls": [ { "id": "call_khs1okkw", "call_id": "call_khs1okkw", "response_item_id": "fc_khs1okkw", "type": "function", "function": { "name": "patch", "arguments": "{\"new_string\":\" \\\"api_base_url\\\": \\\"https://ollama.com/v1/chat/completions\\\",\",\"old_string\":\" \\\"api_base_url\\\": \\\"https://ollama.com/v1\\\",\",\"path\":\"/DATA/.local/.claude-code-router/config.json\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//DATA/.local/.claude-code-router/config.json\\n+++ b//DATA/.local/.claude-code-router/config.json\\n@@ -4,7 +4,7 @@\\n \\\"Providers\\\": [\\n {\\n \\\"name\\\": \\\"ollama\\\",\\n- \\\"api_base_url\\\": \\\"https://ollama.com/v1\\\",\\n+ \\\"api_base_url\\\": \\\"https://ollama.com/v1/chat/completions\\\",\\n \\\"api_key\\\": \\\"eaf9ec548a9f4f789cc2eeb0d7cc61e3.VI7OQTAxEEGB1fqyil_1oJob\\\",\\n \\\"models\\\": [\\n \\\"deepseek-v4-pro\\\",\\n\", \"files_modified\": [\"/DATA/.local/.claude-code-router/config.json\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_khs1okkw" }, { "role": "assistant", "content": "Config zurückgesetzt, jetzt starten:", "reasoning": "CCR wurde auf v1.0.48 downgraded und die Config zurückgesetzt. Jetzt starten und testen.", "finish_reason": "tool_calls", "reasoning_content": "CCR wurde auf v1.0.48 downgraded und die Config zurückgesetzt. Jetzt starten und testen.", "tool_calls": [ { "id": "call_w1d8aadt", "call_id": "call_w1d8aadt", "response_item_id": "fc_w1d8aadt", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl start claude-code-router.service 2\\u003e\\u00261; sleep 3; sudo systemctl status claude-code-router.service --no-pager 2\\u003e\\u00261 | head -15\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"● claude-code-router.service - Claude Code Router\\n Loaded: loaded (/etc/systemd/system/claude-code-router.service; enabled; preset: enabled)\\n Active: active (running) since Sun 2026-05-24 09:16:57 CEST; 3s ago\\n Invocation: 08cc3363cdf64af8ae8a7275e3df631e\\n Main PID: 1219838 (node)\\n Tasks: 11 (limit: 9313)\\n Memory: 126.8M (peak: 127.3M)\\n CPU: 957ms\\n CGroup: /system.slice/claude-code-router.service\\n └─1219838 node /DATA/.local/npm-global/bin/ccr start\\n\\nMay 24 09:16:57 ZimaOS systemd[1]: Started Claude Code Router.\\nMay 24 09:16:57 ZimaOS ccr[1219838]: Loaded JSON config from: /DATA/.local/.claude-code-router/config.json\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_w1d8aadt" }, { "role": "assistant", "content": "", "reasoning": "Wait, let me check which version is actually running now. The npm install said it installed 1.0.48, but the systemd service might still be using the v2 binary. Let me verify the version and test.", "finish_reason": "tool_calls", "reasoning_content": "Wait, let me check which version is actually running now. The npm install said it installed 1.0.48, but the systemd service might still be using the v2 binary. Let me verify the version and test.", "tool_calls": [ { "id": "call_tpjy4o7l", "call_id": "call_tpjy4o7l", "response_item_id": "fc_tpjy4o7l", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 ccr -v 2\\u003e\\u00261\"}" } }, { "id": "call_2dheuvro", "call_id": "call_2dheuvro", "response_item_id": "fc_2dheuvro", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\n \\\"model\\\": \\\"deepseek-v4-pro\\\",\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Reply: OK\\\"}],\\n \\\"max_tokens\\\": 20\\n }' 2\\u003e\\u00261\",\"timeout\":60}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"claude-code-router version: 1.0.48\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_tpjy4o7l" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"error\\\":{\\\"message\\\":\\\"Provider 'undefined' not foundError: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"type\\\":\\\"api_error\\\",\\\"code\\\":\\\"provider_not_found\\\"}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_2dheuvro" }, { "role": "assistant", "content": "Immer noch der selbe Fehler trotz Downgrade auf v1.0.48. Das Problem ist also nicht versionspezifisch. Lass mich die Config radikal vereinfachen und debuggen:", "reasoning": "Wait, the error is \"Provider 'undefined' not found\" even at version 1.0.48. The issue isn't the version - it's something broken in the routing logic. Let me debug this more carefully. The error message says \"Provider 'undefined'\" which means the provider name is being resolved as `undefined`.\n\nLet me check if the issue is with how the model name is parsed. In v1, the format was `provider,model` for the Router config. But for the API request, the model parameter should resolve via the Router. Let me look at the code to understand how `cN` (the model resolution function) works.\n\nActually wait - I just realized the problem might be that the system was previously running v2.0.0 (the npm install showed that), but I installed v1.0.48. Let me check if the old v2.0.0 binary is somehow still being used.\n\nActually, looking at the version output: \"claude-code-router version: 1.0.48\" - so the downgrade worked. But we're still getting the same error. This means the problem is NOT version related - it's something else that broke in the config or environment.\n\nWait - earlier when the system was running and port 3456 was bound BEFORE I touched anything, I saw that the previous process started on May 24 09:12 (PID 1212548) had \"ollama provider registered\" in logs. Let me check if there's a stale PID file causing issues, or if the config format is fundamentally wrong.\n\nActually, hold on - let me re-examine. The error says \"Provider 'undefined'\" - the router can't determine which provider to use. In v1.0.48, the Router section should work like `\"default\": \"ollama,deepseek-v4-pro\"`. Let me check if this is being picked up correctly.\n\nActually, I wonder if the issue is that the Router config is not being applied correctly. Let me check the actual routing logic. The `model` field in the request should match against the Router section. If no route matches, it should fall back to `default`.\n\nHmm, but the error is `Provider 'undefined'` - this means the provider name resolved to `undefined`. This could mean the Router isn't matching at all, or there's a JSON parsing issue.\n\nLet me just try a fresh approach: check the actual HTTP request that CCR is making and debug at a lower level.\n\nActually, wait. I should try with `LOG: true` and `LOG_LEVEL: \"debug\"` to get more verbose logging.\n\nOr better yet - let me just nuke the approach and try rebuilding from scratch with the interactive `ccr model` command. The user just wants it working.\n\nActually, let me first check: is this a `deepseek` transformer issue? The config uses `\"transformer\": {\"use\": [\"deepseek\"]}`. Let me see if the deepseek transformer is causing issues by checking if the provider can be found at all by testing without the transformer.\n\nLet me try the simplest possible config: remove transformers, keep just the basics, and test.", "finish_reason": "tool_calls", "reasoning_content": "Wait, the error is \"Provider 'undefined' not found\" even at version 1.0.48. The issue isn't the version - it's something broken in the routing logic. Let me debug this more carefully. The error message says \"Provider 'undefined'\" which means the provider name is being resolved as `undefined`.\n\nLet me check if the issue is with how the model name is parsed. In v1, the format was `provider,model` for the Router config. But for the API request, the model parameter should resolve via the Router. Let me look at the code to understand how `cN` (the model resolution function) works.\n\nActually wait - I just realized the problem might be that the system was previously running v2.0.0 (the npm install showed that), but I installed v1.0.48. Let me check if the old v2.0.0 binary is somehow still being used.\n\nActually, looking at the version output: \"claude-code-router version: 1.0.48\" - so the downgrade worked. But we're still getting the same error. This means the problem is NOT version related - it's something else that broke in the config or environment.\n\nWait - earlier when the system was running and port 3456 was bound BEFORE I touched anything, I saw that the previous process started on May 24 09:12 (PID 1212548) had \"ollama provider registered\" in logs. Let me check if there's a stale PID file causing issues, or if the config format is fundamentally wrong.\n\nActually, hold on - let me re-examine. The error says \"Provider 'undefined'\" - the router can't determine which provider to use. In v1.0.48, the Router section should work like `\"default\": \"ollama,deepseek-v4-pro\"`. Let me check if this is being picked up correctly.\n\nActually, I wonder if the issue is that the Router config is not being applied correctly. Let me check the actual routing logic. The `model` field in the request should match against the Router section. If no route matches, it should fall back to `default`.\n\nHmm, but the error is `Provider 'undefined'` - this means the provider name resolved to `undefined`. This could mean the Router isn't matching at all, or there's a JSON parsing issue.\n\nLet me just try a fresh approach: check the actual HTTP request that CCR is making and debug at a lower level.\n\nActually, wait. I should try with `LOG: true` and `LOG_LEVEL: \"debug\"` to get more verbose logging.\n\nOr better yet - let me just nuke the approach and try rebuilding from scratch with the interactive `ccr model` command. The user just wants it working.\n\nActually, let me first check: is this a `deepseek` transformer issue? The config uses `\"transformer\": {\"use\": [\"deepseek\"]}`. Let me see if the deepseek transformer is causing issues by checking if the provider can be found at all by testing without the transformer.\n\nLet me try the simplest possible config: remove transformers, keep just the basics, and test.", "tool_calls": [ { "id": "call_9ix5k9dl", "call_id": "call_9ix5k9dl", "response_item_id": "fc_9ix5k9dl", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl stop claude-code-router.service 2\\u003e\\u00261\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_9ix5k9dl" }, { "role": "assistant", "content": "", "reasoning": "Das Problem könnte sein, dass CCR versucht, eine API-Anfrage zu machen und der Ollama Cloud Pro Endpoint (`https://ollama.com/v1/chat/completions`) tatsächlich nicht als \"Provider\" registriert wird. Lass mich zuerst testen, ob die API direkt funktioniert, und dann eine saubere CCR-Konfiguration mit dem OpenRouter-ähnlichen Setup probieren.", "finish_reason": "tool_calls", "reasoning_content": "Das Problem könnte sein, dass CCR versucht, eine API-Anfrage zu machen und der Ollama Cloud Pro Endpoint (`https://ollama.com/v1/chat/completions`) tatsächlich nicht als \"Provider\" registriert wird. Lass mich zuerst testen, ob die API direkt funktioniert, und dann eine saubere CCR-Konfiguration mit dem OpenRouter-ähnlichen Setup probieren.", "tool_calls": [ { "id": "call_rg62tr14", "call_id": "call_rg62tr14", "response_item_id": "fc_rg62tr14", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer eaf9ec548a9f4f789cc2eeb0d7cc61e3.VI7OQTAxEEGB1fqyil_1oJob\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n \\\"https://ollama.com/v1/chat/completions\\\" \\\\\\n -d '{\\n \\\"model\\\": \\\"deepseek-v4-pro\\\",\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Reply: OK\\\"}],\\n \\\"max_tokens\\\": 20\\n }' 2\\u003e\\u00261\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"id\\\":\\\"chatcmpl-838\\\",\\\"object\\\":\\\"chat.completion\\\",\\\"created\\\":1779607050,\\\"model\\\":\\\"deepseek-v4-pro\\\",\\\"system_fingerprint\\\":\\\"fp_ollama\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"message\\\":{\\\"role\\\":\\\"assistant\\\",\\\"content\\\":\\\"\\\",\\\"reasoning\\\":\\\"We are asked: \\\\\\\"Reply: OK\\\\\\\". The user's message is simply \\\\\\\"Reply: OK\\\\\\\".\\\"},\\\"finish_reason\\\":\\\"length\\\"}],\\\"usage\\\":{\\\"prompt_tokens\\\":7,\\\"completion_tokens\\\":20,\\\"total_tokens\\\":27}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_rg62tr14" }, { "role": "assistant", "content": "Die API direkt funktioniert. Also liegt's an CCR selbst. Lass mich die Config gründlich debuggen:", "reasoning": "Der direkte API-Call zu Ollama Cloud funktioniert. Das Problem liegt also definitiv in der CCR-Konfiguration oder wie sie geladen wird. Der Fehler \"Provider 'undefined'\" könnte daher kommen, dass CCR die Config-Datei nicht korrekt parst oder der Router-Abschnitt fehlerhaft ist. Lass mich den CCR-Prozess mit mehr Debugging starten und die config.json nochmal gründlich durchgehen.\n\nMöglicherweise ist der `transformer`-Block in der Config das Problem. In v1.0.48 sah das Format so aus, dass der `transformer` innerhalb des Providers definiert sein musste. Oder es könnte ein JSON-Parsing-Problem sein.\n\nLass mich die Config-Datei validieren.", "finish_reason": "tool_calls", "reasoning_content": "Der direkte API-Call zu Ollama Cloud funktioniert. Das Problem liegt also definitiv in der CCR-Konfiguration oder wie sie geladen wird. Der Fehler \"Provider 'undefined'\" könnte daher kommen, dass CCR die Config-Datei nicht korrekt parst oder der Router-Abschnitt fehlerhaft ist. Lass mich den CCR-Prozess mit mehr Debugging starten und die config.json nochmal gründlich durchgehen.\n\nMöglicherweise ist der `transformer`-Block in der Config das Problem. In v1.0.48 sah das Format so aus, dass der `transformer` innerhalb des Providers definiert sein musste. Oder es könnte ein JSON-Parsing-Problem sein.\n\nLass mich die Config-Datei validieren.", "tool_calls": [ { "id": "call_fprhz54j", "call_id": "call_fprhz54j", "response_item_id": "fc_fprhz54j", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python3 -c \\\"import json; json.load(open('/DATA/.local/.claude-code-router/config.json')); print('Valid JSON')\\\"\"}" } }, { "id": "call_kstzklmd", "call_id": "call_kstzklmd", "response_item_id": "fc_kstzklmd", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 HOME=/DATA/.local LOG_LEVEL=trace ccr start 2\\u003e\\u00261 \\u0026\\nsleep 4\\ncurl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\\"model\\\":\\\"deepseek-v4-pro\\\",\\\"messages\\\":[{\\\"role\\\":\\\"user\\\",\\\"content\\\":\\\"Say OK\\\"}],\\\"max_tokens\\\":20}' 2\\u003e\\u00261\\nkill %1 2\\u003e/dev/null\\nwait 2\\u003e/dev/null\",\"timeout\":20}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"Valid JSON\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_fprhz54j" }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": -1, \"error\": \"Foreground command uses '&' backgrounding. Use terminal(background=true) for long-lived processes, then run health checks and tests in follow-up terminal calls.\", \"status\": \"error\"}", "tool_call_id": "call_kstzklmd" }, { "role": "assistant", "content": "", "reasoning": "Let me try a different approach - let me look at the CCR source code to understand how it resolves providers and what might be going wrong with \"Provider 'undefined'\".", "finish_reason": "tool_calls", "reasoning_content": "Let me try a different approach - let me look at the CCR source code to understand how it resolves providers and what might be going wrong with \"Provider 'undefined'\".", "tool_calls": [ { "id": "call_te1l275a", "call_id": "call_te1l275a", "response_item_id": "fc_te1l275a", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl start claude-code-router.service 2\\u003e\\u00261; sleep 3; tail -5 /DATA/.local/.claude-code-router/logs/ccr-*.log 2\\u003e/dev/null | grep -v \\\"^$\\\" | sort -r | head -20\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_te1l275a" }, { "role": "assistant", "content": "CCR registriert den Provider, aber beim Request schlägt's fehl. Eventuell Cache-Problem durch das v2-Downgrade. Lass mich komplett clean installieren:", "reasoning": "Let me try to understand the root cause. The error is \"Provider 'undefined' not found\" consistently across both v1.0.48 and v2.0.0. The logs show \"ollama provider registered\" but the request fails. This is strange.\n\nLet me think about what could cause this. The API key works directly. The config looks fine. The provider registers successfully. But when a request comes in, it says Provider 'undefined' not found.\n\nWait - maybe the issue is that the old version of CCR cached something from v2.0.0 and now it's broken even after downgrade. Or maybe npm didn't actually install correctly.\n\nLet me try a completely fresh approach: clear the npm global install and reinstall, or directly test with a minimal config.", "finish_reason": "tool_calls", "reasoning_content": "Let me try to understand the root cause. The error is \"Provider 'undefined' not found\" consistently across both v1.0.48 and v2.0.0. The logs show \"ollama provider registered\" but the request fails. This is strange.\n\nLet me think about what could cause this. The API key works directly. The config looks fine. The provider registers successfully. But when a request comes in, it says Provider 'undefined' not found.\n\nWait - maybe the issue is that the old version of CCR cached something from v2.0.0 and now it's broken even after downgrade. Or maybe npm didn't actually install correctly.\n\nLet me try a completely fresh approach: clear the npm global install and reinstall, or directly test with a minimal config.", "tool_calls": [ { "id": "call_nh0ik83b", "call_id": "call_nh0ik83b", "response_item_id": "fc_nh0ik83b", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl stop claude-code-router.service 2\\u003e\\u00261\\nexport PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\"\\nnpm uninstall -g @musistudio/claude-code-router 2\\u003e\\u00261\\nrm -rf /DATA/.local/nodejs/lib/node_modules/@musistudio/ 2\\u003e/dev/null\\nnpm install -g @musistudio/claude-code-router@1.0.48 --cache /DATA/.local/npm-cache 2\\u003e\\u00261\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"removed 144 packages in 637ms\\nnpm notice\\nnpm notice New major version of npm available! 10.9.0 -> 11.15.0\\nnpm notice Changelog: https://github.com/npm/cli/releases/tag/v11.15.0\\nnpm notice To update run: npm install -g npm@11.15.0\\nnpm notice\\nnpm warn deprecated node-domexception@1.0.0: Use your platform's native DOMException instead\\nnpm warn deprecated glob@11.1.0: Old versions of glob are not supported, and contain widely publicized security vulnerabilities, which have been fixed in the current version. Please update. Support for old versions may be purchased (at exorbitant rates) by contacting i@izs.me\\n\\nadded 144 packages in 3s\\n\\n41 packages are looking for funding\\n run `npm fund` for details\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_nh0ik83b" }, { "role": "assistant", "content": "", "reasoning": "CCR v2 → v1 Downgrade immer noch kaputt. Direkter API-Call funktioniert. Vielleicht korrupte interne Config/Cache. Lass mich stattdessen den direkten Test-Call mit Ollama Cloud Pro selbst machen — moment, der Fehler ist \"Provider 'undefined'\" obwohl der Provider registriert wird. \n\nMal anders rangehen: Vielleicht ist es ein simpler Bug im CCR-Code der v1.x selbst, der erst jetzt zum Tragen kommt. Lass mich stattdessen mit der v2 Config versuchen, aber diesmal ein minimales Test-Setup:", "finish_reason": "tool_calls", "reasoning_content": "CCR v2 → v1 Downgrade immer noch kaputt. Direkter API-Call funktioniert. Vielleicht korrupte interne Config/Cache. Lass mich stattdessen den direkten Test-Call mit Ollama Cloud Pro selbst machen — moment, der Fehler ist \"Provider 'undefined'\" obwohl der Provider registriert wird. \n\nMal anders rangehen: Vielleicht ist es ein simpler Bug im CCR-Code der v1.x selbst, der erst jetzt zum Tragen kommt. Lass mich stattdessen mit der v2 Config versuchen, aber diesmal ein minimales Test-Setup:", "tool_calls": [ { "id": "call_r3cv3n3o", "call_id": "call_r3cv3n3o", "response_item_id": "fc_r3cv3n3o", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl start claude-code-router.service 2\\u003e\\u00261; sleep 3; export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 ccr -v\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"claude-code-router version: 1.0.48\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_r3cv3n3o" }, { "role": "assistant", "content": "", "reasoning": "We need to figure out where the provider resolution code is. The error is \"Provider 'undefined' not found\", which means it's trying to find a provider but the provider name is `undefined`. This usually means the model-to-provider mapping is not working.\n\nLet me try a simpler config: just remove all transformers and router complex rules, and see if that works.", "finish_reason": "tool_calls", "reasoning_content": "We need to figure out where the provider resolution code is. The error is \"Provider 'undefined' not found\", which means it's trying to find a provider but the provider name is `undefined`. This usually means the model-to-provider mapping is not working.\n\nLet me try a simpler config: just remove all transformers and router complex rules, and see if that works.", "tool_calls": [ { "id": "call_ejruu7zk", "call_id": "call_ejruu7zk", "response_item_id": "fc_ejruu7zk", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\n \\\"model\\\": \\\"deepseek-v4-pro\\\",\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Reply with one word: OK\\\"}],\\n \\\"max_tokens\\\": 20\\n }' 2\\u003e\\u00261\",\"timeout\":60}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"error\\\":{\\\"message\\\":\\\"Provider 'undefined' not foundError: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"type\\\":\\\"api_error\\\",\\\"code\\\":\\\"provider_not_found\\\"}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_ejruu7zk" }, { "role": "assistant", "content": "Der Provider ist registriert, aber das Routing schlägt fehl. Lass mich testen ohne explizites Model:", "reasoning": "\"Provider 'undefined'\" — die Provider-Auflösung findet nicht statt. Der Router findet den \"Provider\" in der Fehlermeldung bedeutet, dass `provider` undefined bleibt. Das könnte bedeuten, dass das Model nicht im Router-Parsing gefunden oder der Router den Provider-Key nicht extrahieren kann.\n\nDer Fehler könnte daran liegen, dass die Ollama-Cloud-API spezifische Antwortformate zurückgibt, die CCR nicht erwartet (z.B. `reasoning` im response oder andere Formatabweichungen). Aber der Fehler passiert *bevor* ein Request überhaupt rausgeht — es ist ein reiner Routing-Fehler.\n\nVielleicht liegt's an der Transformer-Config. In v1.0.48 — braucht es explizite Transformer für den ollama-Provider, weil die config auf Custom-API zeigt? Der README zeigt, dass Transformer optional sind. Aber das \"undefined\" deutet darauf hin, dass das Routing-Modell keinen Provider findet.\n\nLass mich genau prüfen, was im Router-Key steht und ob der Provider-Name \"ollama\" korrekt registriert wird. Der Log sagt \"ollama provider registered\", also funktioniert die Registrierung. Aber beim Request...\n\nMoment — der Router hat `\"default\": \"ollama,deepseek-v4-pro\"`. Vielleicht erwartet das CCR-Model-Routing ein anderes Format wenn kein `model` im Request-Body gesetzt ist? Aber wir setzen `\"model\": \"deepseek-v4-pro\"`...\n\nAh! Vielleicht müssen wir in v1.x den `model` als `provider/model` Format senden? Oder v1 erwartet `ollama:deepseek-v4-pro`?\n\nLass mich das testen. Aber der Fehler ist \"Provider 'undefined' not found\" — der Router kann den Provider-String nicht parsen. Das deutet darauf hin, dass im Router das Parsing von `model` zu Provider+Model schiefgeht.\n\nBei v1.0.48: Wenn `model` im Request nicht `provider,model` oder `provider/model` Format hat, sucht es im Router-Default... aber der Router-Default ist `ollama,deepseek-v4-pro`. Wenn das Modell direkt angeben wird und nicht im Router-Pfad gefunden wird, versucht es den Router-Default, aber der ist ja korrekt...\n\nIch glaube das Problem ist: Das Model \"deepseek-v4-pro\" wird nicht über den Router aufgelöst, weil es keinem Provider zugeordnet werden kann. Der Router hat `\"default\": \"ollama,deepseek-v4-pro\"` — aber wenn ich `model: \"deepseek-v4-pro\"` im Request setze, sucht CCR nach einem Provider, der dieses Modell hat. Aber das Such-Matching geht über den `Router`-Key, nicht über `Providers[].models`.\n\nVielleicht muss ich den Request OHNE `model`-Feld senden, damit es den Router-Default nimmt?\n\nOder: Der Router-Key muss als Provider/Model Kombination gelesen werden und mein Request-Model `deepseek-v4-pro` überschreibt das.\n\nLass mich den Request ohne model-Feld testen.", "finish_reason": "tool_calls", "reasoning_content": "\"Provider 'undefined'\" — die Provider-Auflösung findet nicht statt. Der Router findet den \"Provider\" in der Fehlermeldung bedeutet, dass `provider` undefined bleibt. Das könnte bedeuten, dass das Model nicht im Router-Parsing gefunden oder der Router den Provider-Key nicht extrahieren kann.\n\nDer Fehler könnte daran liegen, dass die Ollama-Cloud-API spezifische Antwortformate zurückgibt, die CCR nicht erwartet (z.B. `reasoning` im response oder andere Formatabweichungen). Aber der Fehler passiert *bevor* ein Request überhaupt rausgeht — es ist ein reiner Routing-Fehler.\n\nVielleicht liegt's an der Transformer-Config. In v1.0.48 — braucht es explizite Transformer für den ollama-Provider, weil die config auf Custom-API zeigt? Der README zeigt, dass Transformer optional sind. Aber das \"undefined\" deutet darauf hin, dass das Routing-Modell keinen Provider findet.\n\nLass mich genau prüfen, was im Router-Key steht und ob der Provider-Name \"ollama\" korrekt registriert wird. Der Log sagt \"ollama provider registered\", also funktioniert die Registrierung. Aber beim Request...\n\nMoment — der Router hat `\"default\": \"ollama,deepseek-v4-pro\"`. Vielleicht erwartet das CCR-Model-Routing ein anderes Format wenn kein `model` im Request-Body gesetzt ist? Aber wir setzen `\"model\": \"deepseek-v4-pro\"`...\n\nAh! Vielleicht müssen wir in v1.x den `model` als `provider/model` Format senden? Oder v1 erwartet `ollama:deepseek-v4-pro`?\n\nLass mich das testen. Aber der Fehler ist \"Provider 'undefined' not found\" — der Router kann den Provider-String nicht parsen. Das deutet darauf hin, dass im Router das Parsing von `model` zu Provider+Model schiefgeht.\n\nBei v1.0.48: Wenn `model` im Request nicht `provider,model` oder `provider/model` Format hat, sucht es im Router-Default... aber der Router-Default ist `ollama,deepseek-v4-pro`. Wenn das Modell direkt angeben wird und nicht im Router-Pfad gefunden wird, versucht es den Router-Default, aber der ist ja korrekt...\n\nIch glaube das Problem ist: Das Model \"deepseek-v4-pro\" wird nicht über den Router aufgelöst, weil es keinem Provider zugeordnet werden kann. Der Router hat `\"default\": \"ollama,deepseek-v4-pro\"` — aber wenn ich `model: \"deepseek-v4-pro\"` im Request setze, sucht CCR nach einem Provider, der dieses Modell hat. Aber das Such-Matching geht über den `Router`-Key, nicht über `Providers[].models`.\n\nVielleicht muss ich den Request OHNE `model`-Feld senden, damit es den Router-Default nimmt?\n\nOder: Der Router-Key muss als Provider/Model Kombination gelesen werden und mein Request-Model `deepseek-v4-pro` überschreibt das.\n\nLass mich den Request ohne model-Feld testen.", "tool_calls": [ { "id": "call_c2r3ac69", "call_id": "call_c2r3ac69", "response_item_id": "fc_c2r3ac69", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Reply: OK\\\"}],\\n \\\"max_tokens\\\": 20\\n }' 2\\u003e\\u00261\",\"timeout\":60}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"error\\\":{\\\"message\\\":\\\"Provider 'undefined' not foundError: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"type\\\":\\\"api_error\\\",\\\"code\\\":\\\"provider_not_found\\\"}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_c2r3ac69" }, { "role": "assistant", "content": "Der Fehler ist persistent und versionsunabhängig. Lass mich den CCR-Code direkt debuggen — wo genau der Provider aufgelöst wird:", "reasoning": "Der Fehler bleibt \"Provider 'undefined' not found\". Auch ohne Model. Das deutet darauf hin, dass CCR überhaupt keinen Provider im Config findet. Vielleicht ist das Problem, dass CCR die Config an einem anderen Ort erwartet.\n\nLass mich das Config-Pfad-Logging überprüfen. CCR logt \"Loaded JSON config from: /DATA/.local/.claude-code-router/config.json\" — also liest es die Config. Aber vielleicht parsed es sie falsch oder erwartet ein anderes Format.\n\nIn v1.0.48: Der Fehler \"Provider 'undefined'\" kommt daher, dass der Provider-Name nicht gefunden wird. Aber der Provider heißt \"ollama\" und das Log zeigt \"ollama provider registered\". Also wird der Provider registriert...\n\nDer Schlüssel liegt im Routing. Wenn das Router-Objekt `\"default\": \"ollama,deepseek-v4-pro\"` enthält, dann sollte CCR den Provider \"ollama\" und das Model \"deepseek-v4-pro\" zuordnen. Aber vielleicht ist das Konfigurationsformat geändert, sodass es nicht mehr `\"ollama,deepseek-v4-pro\"` als Router-Key versteht.\n\nLass mich das README des installierten v1.0.48 überprüfen:", "finish_reason": "tool_calls", "reasoning_content": "Der Fehler bleibt \"Provider 'undefined' not found\". Auch ohne Model. Das deutet darauf hin, dass CCR überhaupt keinen Provider im Config findet. Vielleicht ist das Problem, dass CCR die Config an einem anderen Ort erwartet.\n\nLass mich das Config-Pfad-Logging überprüfen. CCR logt \"Loaded JSON config from: /DATA/.local/.claude-code-router/config.json\" — also liest es die Config. Aber vielleicht parsed es sie falsch oder erwartet ein anderes Format.\n\nIn v1.0.48: Der Fehler \"Provider 'undefined'\" kommt daher, dass der Provider-Name nicht gefunden wird. Aber der Provider heißt \"ollama\" und das Log zeigt \"ollama provider registered\". Also wird der Provider registriert...\n\nDer Schlüssel liegt im Routing. Wenn das Router-Objekt `\"default\": \"ollama,deepseek-v4-pro\"` enthält, dann sollte CCR den Provider \"ollama\" und das Model \"deepseek-v4-pro\" zuordnen. Aber vielleicht ist das Konfigurationsformat geändert, sodass es nicht mehr `\"ollama,deepseek-v4-pro\"` als Router-Key versteht.\n\nLass mich das README des installierten v1.0.48 überprüfen:", "tool_calls": [ { "id": "call_fvwpu41s", "call_id": "call_fvwpu41s", "response_item_id": "fc_fvwpu41s", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"grep -n \\\"Provider.*not found\\\\|provider_not_found\\\\|resolveProvider\\\\|findProvider\\\\|getProvider\\\" /DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js 2\\u003e/dev/null | head -20\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"582:`):`${r}${e}`}async output(e,t={}){try{let r=this.formatData(e,t);switch(this.config.level||\\\"log\\\"){case\\\"info\\\":console.info(r);break;case\\\"warn\\\":console.warn(r);break;case\\\"error\\\":console.error(r);break;case\\\"debug\\\":console.debug(r);break;case\\\"log\\\":default:console.log(r);break}return!0}catch(r){return console.error(\\\"[ConsoleOutputHandler] Output failed:\\\",r),!1}}}}),uD,lD=Tr(()=>{\\\"use strict\\\";uD=class{type=\\\"webhook\\\";config;defaultTimeout=3e4;constructor(e){if(!e.url)throw new Error(\\\"Webhook URL is required\\\");this.config={method:\\\"POST\\\",retry:{maxAttempts:3,backoffMs:1e3},silent:!1,...e}}buildHeaders(){let e={\\\"Content-Type\\\":\\\"application/json\\\",...this.config.headers||{}};if(this.config.auth)switch(this.config.auth.type){case\\\"bearer\\\":this.config.auth.token&&(e.Authorization=`Bearer ${this.config.auth.token}`);break;case\\\"basic\\\":if(this.config.auth.username&&this.config.auth.password){let t=Buffer.from(`${this.config.auth.username}:${this.config.auth.password}`).toString(\\\"base64\\\");e.Authorization=`Basic ${t}`}break;case\\\"custom\\\":this.config.auth.custom&&(e[this.config.auth.custom.header]=this.config.auth.custom.value);break}return e}buildBody(e,t){let{format:r=\\\"json\\\",timestamp:n=!0,prefix:s,metadata:o}=t||{},i={data:e};return n&&(i.timestamp=new Date().toISOString()),s&&(i.prefix=s),o&&Object.keys(o).length>0&&(i.metadata=o),i}async sendRequest(e,t,r,n,s){let o=new AbortController,i=setTimeout(()=>o.abort(),s);try{let a=await fetch(e,{method:t,headers:r,body:JSON.stringify(n),signal:o.signal});if(clearTimeout(i),!a.ok)throw new Error(`HTTP ${a.status}: ${a.statusText}`);return a}catch(a){throw clearTimeout(i),a}}delay(e){return new Promise(t=>setTimeout(t,e))}async sendWithRetry(e,t,r,n,s,o){let i=null;for(let a=1;a<=o.maxAttempts;a++)try{return await this.sendRequest(e,t,r,n,s)}catch(u){if(i=u,a===o.maxAttempts)break;let l=o.backoffMs*Math.pow(2,a-1);console.warn(`[WebhookOutputHandler] Request failed (attempt ${a}/${o.maxAttempts}), retrying in ${l}ms...`,u.message),await this.delay(l)}throw i}async output(e,t={}){let r=t.timeout||this.defaultTimeout;try{let n=this.buildHeaders(),s=this.buildBody(e,t),o=await this.sendWithRetry(this.config.url,this.config.method,n,s,r,this.config.retry);return!0}catch(n){let s=n instanceof Error?n.message:String(n);if(this.config.silent)return console.error(`[WebhookOutputHandler] Failed to send data: ${s}`),!1;throw new Error(`Webhook output failed: ${s}`)}}}}),cD,AD=Tr(()=>{\\\"use strict\\\";cD=class{type=\\\"temp-file\\\";config;baseDir;constructor(e={}){this.config={subdirectory:\\\"claude-code-router\\\",extension:\\\"json\\\",includeTimestamp:!1,prefix:\\\"session\\\",...e};let 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Promise((i,a)=>{n.once(\\\"error\\\",a),s.once(\\\"error\\\",a),o.once(\\\"error\\\",a),s.once(\\\"finish\\\",i),n.pipe(o).pipe(s)})}async rotated(e){let{maxFiles:t,maxSize:r}=this.options;return(t||r)&&await this.history(e),this.emit(\\\"rotated\\\",e),this.reopen(0)}async history(e){let{history:t,maxFiles:r,maxSize:n}=this.options,s=[],o=[e];try{o=[...(await this.fsReadFile(t,\\\"utf8\\\")).toString().split(`\\n923:${qr}Enter the model name:${Jt}`,validate:i=>i.trim()?!0:\\\"Model name cannot be empty\\\"}),n=e.Providers.find(i=>i.name===t);if(!n)return console.log(`${hA}Provider not found${Jt}`),null;if(n.models.includes(r))return console.log(`${hA}Model already exists in provider${Jt}`),null;if(n.models.push(r),await Mi({message:`\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_fvwpu41s" }, { "role": "assistant", "content": "Der Fehler ist in der CCR-Logik — `e.provider` wird nie gesetzt. Die Config wird zwar geladen (\"ollama provider registered\"), aber der Model-Router findet keinen Match. Der `Router`-Eintrag verwendet `\"ollama,deepseek-v4-pro\"`, während der Request nur `\"deepseek-v4-pro\"` schickt. Lass mich die Config radikal vereinfachen:", "reasoning": "Let me look more carefully at the CCR code. I found the key function:\n\n```javascript\nasync function cN(e,t,r,n){\n let s=e.body, o=e.provider, i=r.providerService.getProvider(o);\n if(!i) throw qn(`Provider '${o}' not found`,404,\"provider_not_found\");\n ...\n}\n```\n\nSo `e.provider` is somehow undefined — the provider is not being set on the request object. Let me look at where `e.provider` gets set. It seems the request parsing is failing to extract the provider from the model name.\n\nThe key insight: `resolveModelRoute` in `Cg` class maps models to providers. Let me look at how the model name gets resolved. In the `initializeFromProvidersArray` function, it registers models:\n\n```javascript\ne.models.forEach(r=>{\n let n=`${t.name},${r}`, s={provider:t.name, model:r, fullModel:n};\n this.modelRoutes.set(n,s), this.modelRoutes.has(r)||this.modelRoutes.set(r,s)\n})\n```\n\nAnd `resolveModelRoute`:\n```javascript\nresolveModelRoute(e){\n let t=this.modelRoutes.get(e);\n if(!t) return null;\n let r=this.providers.get(t.provider);\n return r?{provider:r, originalModel:e, targetModel:t.model}:null\n}\n```\n\nSo when we send `\"model\": \"deepseek-v4-pro\"`, it should find `\"deepseek-v4-pro\"` in `modelRoutes` and get the provider `\"ollama\"`. But somehow `e.provider` is undefined.\n\nWait — let me look more carefully at the route handler. The POST `/v1/chat/completions` is handled by transformers. The code:\n\n```javascript\nfor(let{transformer:r}of t) r.endPoint && e.post(r.endPoint, async(n,s)=>cN(n,s,e,r));\n```\n\nAnd `cN`:\n```javascript\nasync function cN(e,t,r,n){\n let s=e.body, o=e.provider, ...\n```\n\nSo `e.provider` should be set somewhere in the request processing. Let me find where `e.provider` gets set...\n\nLooking at the broader code, the `e` is the request object, and there should be middleware that parses the model and sets `e.provider`. Let me look for where `e.provider` or `req.provider` is set...\n\nIn the main router setup, there should be a middleware that does model resolution. Let me search for it.\n\nActually, I recall now — there's a `modelRoute` middleware. Let me look at where it's defined in the code. The key part must be before the endpoint handler is called.\n\nWait, actually the code structure is this in the `Dg` (routes):\n\n```javascript\nvar Dg = async e=>{\n e.get(\"/\", ...),\n e.get(\"/health\", ...);\n let t = e.transformerService.getTransformersWithEndpoint();\n for(let{transformer:r}of t) \n r.endPoint && e.post(r.endPoint, async(n,s)=>cN(n,s,e,r));\n```\n\nSo the `n` is the request. And `cN` accesses `e.provider` where `e` is actually the request body... no wait. Let me re-read:\n\n```javascript\nasync function cN(e,t,r,n){\n let s=e.body, o=e.provider, i=r.providerService.getProvider(o);\n```\n\nSo `e` here is the Fastify request object. And `e.provider` should have been set by some middleware.\n\nLet me look for where `req.provider` is set. There must be a middleware. Let me look for it...\n\nHmm, I'm searching through minified code which is very hard. Let me take a different approach — let me look at the config.json and see if the provider is actually being loaded correctly.\n\nActually, the log says \"ollama provider registered\", so it IS being registered. The problem is that the model route resolution is failing somewhere.\n\nWait — I just realized something. Look at the config.json Router section:\n\n```json\n\"Router\": {\n \"default\": \"ollama,deepseek-v4-pro\",\n \"think\": \"ollama,kimi-k2.6\",\n ...\n}\n```\n\nAnd the model name in the request is just `\"deepseek-v4-pro\"`. Let me look at the route handler — maybe v1.0.48 uses a different routing mechanism and needs the model name in `provider,model` format.\n\nBut earlier I tested `\"ollama,deepseek-v4-pro\"` and it also failed. So that's not it either.\n\nLet me try something: remove the Router section entirely and see if the default routing picks up the provider directly from the model -> provider mapping.\n\nActually wait — maybe the issue is simpler. The `api_base_url` in config.json is `\"https://ollama.com/v1/chat/completions\"`. In CCR v1.0.48, this URL is concatenated directly with no path appending. But the transformer... hmm.\n\nActually let me re-examine the whole thing. In the log we see \"ollama provider registered\" at startup, which means the provider config is loaded correctly. But then when we make the request, `e.provider` is undefined, meaning the model-resolve middleware is not finding the model -> provider mapping.\n\nLet me check — could the issue be that the model name in the Router section is somehow overriding the model lookup? Let me try with ONLY the `default` router and nothing else, removing the complex transformer config.\n\nActually, I think the issue might be that the transformer config inside the Provider definition is breaking things. The old config has per-model transformers which might not be compatible with v1.0.48.\n\nLet me simplify the config drastically and test.", "finish_reason": "tool_calls", "reasoning_content": "Let me look more carefully at the CCR code. I found the key function:\n\n```javascript\nasync function cN(e,t,r,n){\n let s=e.body, o=e.provider, i=r.providerService.getProvider(o);\n if(!i) throw qn(`Provider '${o}' not found`,404,\"provider_not_found\");\n ...\n}\n```\n\nSo `e.provider` is somehow undefined — the provider is not being set on the request object. Let me look at where `e.provider` gets set. It seems the request parsing is failing to extract the provider from the model name.\n\nThe key insight: `resolveModelRoute` in `Cg` class maps models to providers. Let me look at how the model name gets resolved. In the `initializeFromProvidersArray` function, it registers models:\n\n```javascript\ne.models.forEach(r=>{\n let n=`${t.name},${r}`, s={provider:t.name, model:r, fullModel:n};\n this.modelRoutes.set(n,s), this.modelRoutes.has(r)||this.modelRoutes.set(r,s)\n})\n```\n\nAnd `resolveModelRoute`:\n```javascript\nresolveModelRoute(e){\n let t=this.modelRoutes.get(e);\n if(!t) return null;\n let r=this.providers.get(t.provider);\n return r?{provider:r, originalModel:e, targetModel:t.model}:null\n}\n```\n\nSo when we send `\"model\": \"deepseek-v4-pro\"`, it should find `\"deepseek-v4-pro\"` in `modelRoutes` and get the provider `\"ollama\"`. But somehow `e.provider` is undefined.\n\nWait — let me look more carefully at the route handler. The POST `/v1/chat/completions` is handled by transformers. The code:\n\n```javascript\nfor(let{transformer:r}of t) r.endPoint && e.post(r.endPoint, async(n,s)=>cN(n,s,e,r));\n```\n\nAnd `cN`:\n```javascript\nasync function cN(e,t,r,n){\n let s=e.body, o=e.provider, ...\n```\n\nSo `e.provider` should be set somewhere in the request processing. Let me find where `e.provider` gets set...\n\nLooking at the broader code, the `e` is the request object, and there should be middleware that parses the model and sets `e.provider`. Let me look for where `e.provider` or `req.provider` is set...\n\nIn the main router setup, there should be a middleware that does model resolution. Let me search for it.\n\nActually, I recall now — there's a `modelRoute` middleware. Let me look at where it's defined in the code. The key part must be before the endpoint handler is called.\n\nWait, actually the code structure is this in the `Dg` (routes):\n\n```javascript\nvar Dg = async e=>{\n e.get(\"/\", ...),\n e.get(\"/health\", ...);\n let t = e.transformerService.getTransformersWithEndpoint();\n for(let{transformer:r}of t) \n r.endPoint && e.post(r.endPoint, async(n,s)=>cN(n,s,e,r));\n```\n\nSo the `n` is the request. And `cN` accesses `e.provider` where `e` is actually the request body... no wait. Let me re-read:\n\n```javascript\nasync function cN(e,t,r,n){\n let s=e.body, o=e.provider, i=r.providerService.getProvider(o);\n```\n\nSo `e` here is the Fastify request object. And `e.provider` should have been set by some middleware.\n\nLet me look for where `req.provider` is set. There must be a middleware. Let me look for it...\n\nHmm, I'm searching through minified code which is very hard. Let me take a different approach — let me look at the config.json and see if the provider is actually being loaded correctly.\n\nActually, the log says \"ollama provider registered\", so it IS being registered. The problem is that the model route resolution is failing somewhere.\n\nWait — I just realized something. Look at the config.json Router section:\n\n```json\n\"Router\": {\n \"default\": \"ollama,deepseek-v4-pro\",\n \"think\": \"ollama,kimi-k2.6\",\n ...\n}\n```\n\nAnd the model name in the request is just `\"deepseek-v4-pro\"`. Let me look at the route handler — maybe v1.0.48 uses a different routing mechanism and needs the model name in `provider,model` format.\n\nBut earlier I tested `\"ollama,deepseek-v4-pro\"` and it also failed. So that's not it either.\n\nLet me try something: remove the Router section entirely and see if the default routing picks up the provider directly from the model -> provider mapping.\n\nActually wait — maybe the issue is simpler. The `api_base_url` in config.json is `\"https://ollama.com/v1/chat/completions\"`. In CCR v1.0.48, this URL is concatenated directly with no path appending. But the transformer... hmm.\n\nActually let me re-examine the whole thing. In the log we see \"ollama provider registered\" at startup, which means the provider config is loaded correctly. But then when we make the request, `e.provider` is undefined, meaning the model-resolve middleware is not finding the model -> provider mapping.\n\nLet me check — could the issue be that the model name in the Router section is somehow overriding the model lookup? Let me try with ONLY the `default` router and nothing else, removing the complex transformer config.\n\nActually, I think the issue might be that the transformer config inside the Provider definition is breaking things. The old config has per-model transformers which might not be compatible with v1.0.48.\n\nLet me simplify the config drastically and test.", "tool_calls": [ { "id": "call_usxwuahx", "call_id": "call_usxwuahx", "response_item_id": "fc_usxwuahx", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl stop claude-code-router.service 2\\u003e\\u00261\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_usxwuahx" }, { "role": "assistant", "content": "", "reasoning": "Der Debugger zeigt, dass `e.provider` `undefined` ist im Request-Objekt. In der `cN`-Funktion wird `e.body` und `e.provider` erwartet. Der Code zeigt:\n\n```js\nasync function cN(e,t,r,n){\n let s=e.body, o=e.provider, i=r.providerService.getProvider(o);\n if(!i) throw qn(`Provider '${o}' not found`,404,\"provider_not_found\");\n```\n\n`e.provider` ist undefined — es wird also nie aus dem Model-Namen aufgelöst. Das Passiert vermutlich weil die Config `Router.default` auf `\"ollama,deepseek-v4-pro\"` steht, aber der Request das Model als `\"deepseek-v4-pro\"` schickt. CCR müsste den Router auflösen.\n\nLass mich die Config mal ganz clean halten — Router nur mit Model-Namen ohne Provider-Prefix, und der Request muss vielleicht mit dem Prefix `ollama,deepseek-v4-pro` kommen. Oder noch simpler: der Router sucht nach dem Model wie es im Request steht, ohne Provider-Info.\n\nIch probiere den Request mit `ollama,deepseek-v4-pro` als Model:", "finish_reason": "tool_calls", "reasoning_content": "Der Debugger zeigt, dass `e.provider` `undefined` ist im Request-Objekt. In der `cN`-Funktion wird `e.body` und `e.provider` erwartet. Der Code zeigt:\n\n```js\nasync function cN(e,t,r,n){\n let s=e.body, o=e.provider, i=r.providerService.getProvider(o);\n if(!i) throw qn(`Provider '${o}' not found`,404,\"provider_not_found\");\n```\n\n`e.provider` ist undefined — es wird also nie aus dem Model-Namen aufgelöst. Das Passiert vermutlich weil die Config `Router.default` auf `\"ollama,deepseek-v4-pro\"` steht, aber der Request das Model als `\"deepseek-v4-pro\"` schickt. CCR müsste den Router auflösen.\n\nLass mich die Config mal ganz clean halten — Router nur mit Model-Namen ohne Provider-Prefix, und der Request muss vielleicht mit dem Prefix `ollama,deepseek-v4-pro` kommen. Oder noch simpler: der Router sucht nach dem Model wie es im Request steht, ohne Provider-Info.\n\nIch probiere den Request mit `ollama,deepseek-v4-pro` als Model:", "tool_calls": [ { "id": "call_ynu6j1qt", "call_id": "call_ynu6j1qt", "response_item_id": "fc_ynu6j1qt", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 HOME=/DATA/.local ccr start 2\\u003e\\u00261 \\u0026\\nsleep 4\\ncurl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\\"model\\\":\\\"ollama,deepseek-v4-pro\\\",\\\"messages\\\":[{\\\"role\\\":\\\"user\\\",\\\"content\\\":\\\"Say OK\\\"}],\\\"max_tokens\\\":20}' 2\\u003e\\u00261\\nkill %1 2\\u003e/dev/null; wait 2\\u003e/dev/null\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": -1, \"error\": \"Foreground command uses '&' backgrounding. Use terminal(background=true) for long-lived processes, then run health checks and tests in follow-up terminal calls.\", \"status\": \"error\"}", "tool_call_id": "call_ynu6j1qt" }, { "role": "assistant", "content": "", "reasoning": "This terminal is blocking me from using `&` backgrounding. Let me use the process API instead, or just start the service and test separately.", "finish_reason": "tool_calls", "reasoning_content": "This terminal is blocking me from using `&` backgrounding. Let me use the process API instead, or just start the service and test separately.", "tool_calls": [ { "id": "call_qq6mltvb", "call_id": "call_qq6mltvb", "response_item_id": "fc_qq6mltvb", "type": "function", "function": { "name": "terminal", "arguments": "{\"background\":true,\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 HOME=/DATA/.local ccr start 2\\u003e\\u00261\",\"timeout\":600}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"Background process started\", \"session_id\": \"proc_748a7e7eb4f4\", \"pid\": 1223591, \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_qq6mltvb" }, { "role": "assistant", "content": "", "reasoning": "Let me try the model with the `ollama,` prefix.", "finish_reason": "tool_calls", "reasoning_content": "Let me try the model with the `ollama,` prefix.", "tool_calls": [ { "id": "call_38ix3bpc", "call_id": "call_38ix3bpc", "response_item_id": "fc_38ix3bpc", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sleep 3\\ncurl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\\"model\\\":\\\"ollama,deepseek-v4-pro\\\",\\\"messages\\\":[{\\\"role\\\":\\\"user\\\",\\\"content\\\":\\\"Say OK\\\"}],\\\"max_tokens\\\":20}' 2\\u003e\\u00261\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"id\\\":\\\"chatcmpl-932\\\",\\\"object\\\":\\\"chat.completion\\\",\\\"created\\\":1779607160,\\\"model\\\":\\\"deepseek-v4-pro\\\",\\\"system_fingerprint\\\":\\\"fp_ollama\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"message\\\":{\\\"role\\\":\\\"assistant\\\",\\\"content\\\":\\\"\\\",\\\"reasoning\\\":\\\"We are asked: \\\\\\\"Say OK\\\\\\\". This is a simple instruction. The user wants me to respond\\\"},\\\"finish_reason\\\":\\\"length\\\"}],\\\"usage\\\":{\\\"prompt_tokens\\\":6,\\\"completion_tokens\\\":20,\\\"total_tokens\\\":26}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_38ix3bpc" }, { "role": "assistant", "content": "Funktioniert! Das Problem: CCR v1.0.48 erwartet das Format `\"provider,model\"` im `model`-Feld, nicht nur `\"model\"`. Der Router löst Kurznamen nicht korrekt auf. Der Fix ist einfach:", "reasoning": "The issue is clear now: CCR requires the model to be in the `provider,model` format. When the Router config has `\"default\": \"ollama,deepseek-v4-pro\"` and the request sends just `\"deepseek-v4-pro\"`, it fails. But when we explicitly pass `\"ollama,deepseek-v4-pro\"`, it works.\n\nThe problem is that our config's Router entry specifies `\"default\": \"ollama,deepseek-v4-pro\"`, but the request only uses `\"deepseek-v4-pro\"`. The Router should auto-resolve the model name to the provider, but it seems like it's not working. \n\nWait, looking at the code again - the modelRoutes map registers both `\"deepseek-v4-pro\"` and `\"ollama,deepseek-v4-pro\"`. So it SHOULD resolve just `\"deepseek-v4-pro\"` too. Let me check...\n\nActually, the Router's `default` is used when no model is specified. When a model IS specified (like `\"deepseek-v4-pro\"`), it should look it up in modelRoutes. And modelRoutes has `\"deepseek-v4-pro\"` mapped. So it should work.\n\nBut the error says \"Provider 'undefined' not found\". This means the model lookup returned a provider name of `undefined`. \n\nActually wait — it worked with `\"ollama,deepseek-v4-pro\"` but not with just `\"deepseek-v4-pro\"`. This tells me the modelRoutes mapping for short names isn't working. The provider IS registered but the short-name lookup fails.\n\nLet me check: the code does `this.modelRoutes.set(r, s)` for the model name without provider prefix. But the router resolution might have a bug where it returns `undefined` provider.\n\nGiven that the `provider,model` format works, the fix is simple: use that format in the Router config. But ideally we should also understand why short names don't work.\n\nActually, looking more carefully at the code I grepped - the `cN` function does:\n```\nlet o = e.provider, i = r.providerService.getProvider(o);\nif (!i) throw qn(`Provider '${o}' not found`, 404, \"provider_not_found\");\n```\n\nSo `e.provider` is `undefined`. The provider never gets set from the model name. This means the model resolution step (which should set `e.provider`) isn't working correctly.\n\nLooking at the code flow, the Router should be used before the model is resolved. The Router determines which provider+model to use. When `\"ollama,deepseek-v4-pro\"` is sent as the model, it gets split into provider=`ollama`, model=`deepseek-v4-pro`. But when just `\"deepseek-v4-pro\"` is sent, the Router's `default` should kick in.\n\nWait, actually the Router config says `default: \"ollama,deepseek-v4-pro\"`. The Router should replace a missing/unresolved model with the default. But if a model IS provided (like just `\"deepseek-v4-pro\"`), maybe the Router doesn't intervene?\n\nLooking at the Router code pattern, it seems like:\n1. If model is `\"ollama,deepseek-v4-pro\"` → parses to provider=ollama, model=deepseek-v4-pro ✓\n2. If model is just `\"deepseek-v4-pro\"` → looks up in modelRoutes, but the provider resolution to set `e.provider` doesn't happen\n\nThe fix: We need to ensure that when the model is just `\"deepseek-v4-pro\"`, the Router maps it to `\"ollama,deepseek-v4-pro\"`.\n\nThe fastest working fix: Change the Router config to not use model shortcuts. But that's not ideal.\n\nActually, the simplest workaround: the `modelRoutes` map does have `\"deepseek-v4-pro\"` → `{provider: \"ollama\", ...}`. But somewhere in the chain, `e.provider` never gets set from this lookup. \n\nLet me just focus on what works: the `provider,model` format. And set the Router default to not be needed since we always specify the model.\n\nActually, wait. The Router `default` IS `\"ollama,deepseek-v4-pro\"`. If I don't specify a model at all, the Router should use the default. Let me test without specifying a model:", "finish_reason": "tool_calls", "reasoning_content": "The issue is clear now: CCR requires the model to be in the `provider,model` format. When the Router config has `\"default\": \"ollama,deepseek-v4-pro\"` and the request sends just `\"deepseek-v4-pro\"`, it fails. But when we explicitly pass `\"ollama,deepseek-v4-pro\"`, it works.\n\nThe problem is that our config's Router entry specifies `\"default\": \"ollama,deepseek-v4-pro\"`, but the request only uses `\"deepseek-v4-pro\"`. The Router should auto-resolve the model name to the provider, but it seems like it's not working. \n\nWait, looking at the code again - the modelRoutes map registers both `\"deepseek-v4-pro\"` and `\"ollama,deepseek-v4-pro\"`. So it SHOULD resolve just `\"deepseek-v4-pro\"` too. Let me check...\n\nActually, the Router's `default` is used when no model is specified. When a model IS specified (like `\"deepseek-v4-pro\"`), it should look it up in modelRoutes. And modelRoutes has `\"deepseek-v4-pro\"` mapped. So it should work.\n\nBut the error says \"Provider 'undefined' not found\". This means the model lookup returned a provider name of `undefined`. \n\nActually wait — it worked with `\"ollama,deepseek-v4-pro\"` but not with just `\"deepseek-v4-pro\"`. This tells me the modelRoutes mapping for short names isn't working. The provider IS registered but the short-name lookup fails.\n\nLet me check: the code does `this.modelRoutes.set(r, s)` for the model name without provider prefix. But the router resolution might have a bug where it returns `undefined` provider.\n\nGiven that the `provider,model` format works, the fix is simple: use that format in the Router config. But ideally we should also understand why short names don't work.\n\nActually, looking more carefully at the code I grepped - the `cN` function does:\n```\nlet o = e.provider, i = r.providerService.getProvider(o);\nif (!i) throw qn(`Provider '${o}' not found`, 404, \"provider_not_found\");\n```\n\nSo `e.provider` is `undefined`. The provider never gets set from the model name. This means the model resolution step (which should set `e.provider`) isn't working correctly.\n\nLooking at the code flow, the Router should be used before the model is resolved. The Router determines which provider+model to use. When `\"ollama,deepseek-v4-pro\"` is sent as the model, it gets split into provider=`ollama`, model=`deepseek-v4-pro`. But when just `\"deepseek-v4-pro\"` is sent, the Router's `default` should kick in.\n\nWait, actually the Router config says `default: \"ollama,deepseek-v4-pro\"`. The Router should replace a missing/unresolved model with the default. But if a model IS provided (like just `\"deepseek-v4-pro\"`), maybe the Router doesn't intervene?\n\nLooking at the Router code pattern, it seems like:\n1. If model is `\"ollama,deepseek-v4-pro\"` → parses to provider=ollama, model=deepseek-v4-pro ✓\n2. If model is just `\"deepseek-v4-pro\"` → looks up in modelRoutes, but the provider resolution to set `e.provider` doesn't happen\n\nThe fix: We need to ensure that when the model is just `\"deepseek-v4-pro\"`, the Router maps it to `\"ollama,deepseek-v4-pro\"`.\n\nThe fastest working fix: Change the Router config to not use model shortcuts. But that's not ideal.\n\nActually, the simplest workaround: the `modelRoutes` map does have `\"deepseek-v4-pro\"` → `{provider: \"ollama\", ...}`. But somewhere in the chain, `e.provider` never gets set from this lookup. \n\nLet me just focus on what works: the `provider,model` format. And set the Router default to not be needed since we always specify the model.\n\nActually, wait. The Router `default` IS `\"ollama,deepseek-v4-pro\"`. If I don't specify a model at all, the Router should use the default. Let me test without specifying a model:", "tool_calls": [ { "id": "call_adqehphw", "call_id": "call_adqehphw", "response_item_id": "fc_adqehphw", "type": "function", "function": { "name": "process", "arguments": "{\"action\":\"kill\",\"session_id\":\"proc_748a7e7eb4f4\"}" } } ] }, { "role": "tool", "name": "process", "content": "{\"status\": \"killed\", \"session_id\": \"proc_748a7e7eb4f4\"}", "tool_call_id": "call_adqehphw" }, { "role": "assistant", "content": "CCR funktioniert, aber **nur mit `provider,model`-Format**. Das ist der entscheidende Unterschied. Jetzt finaler Fix mit systemd:", "reasoning": "The issue is that CCR v1.0.48 works but requires the `model` field in the format `\"provider,model\"` (e.g., `\"ollama,deepseek-v4-pro\"`), not just `\"deepseek-v4-pro\"`. The Router section in config.json uses that format correctly, but direct API calls were only sending the model name. \n\nNow I need to fix this permanently. The real question is: why does the Router not resolve short model names properly? Looking at the Router config:\n- `\"default\": \"ollama,deepseek-v4-pro\"` \n\nWhen the Router receives `\"model\": \"deepseek-v4-pro\"`, it should use the `default` route and forward to `\"ollama,deepseek-v4-pro\"`. But clearly it doesn't work that way.\n\nActually wait - the issue is simpler. When I tested directly with `\"model\": \"ollama,deepseek-v4-pro\"`, it worked. When I tested with `\"model\": \"deepseek-v4-pro\"`, it failed with \"Provider 'undefined'\". This means the Router is NOT resolving short names - it's just parsing the model field for `provider,model` format.\n\nThe correct fix is to update the `model` field in requests to use the full `provider,model` format. But for practical use (Claude Code integration), that should be fine since the Router config already specifies `\"ollama,deepseek-v4-pro\"` as default.\n\nActually wait, let me re-read the code. The Router section in CCR should handle this automatically - when the model is just \"deepseek-v4-pro\", it should map it to the default route \"ollama,deepseek-v4-pro\". But clearly it's not doing that.\n\nLet me look at the code flow again. The error comes from `cN` which does:\n```js\nlet o = e.provider;\nlet i = r.providerService.getProvider(o);\nif (!i) throw qn(`Provider '${o}' not found`, ...)\n```\n\nSo `e.provider` is undefined. Where does `e.provider` get set? That happens BEFORE the Router. The Router section is separate. Let me trace this.\n\nActually, looking at the Fastify routes:\n```js\ne.post(r.endPoint, async(n, s) => cN(n, s, e, r))\n```\n\nWhere `r` is the transformer (OpenAI transformer at `/v1/chat/completions`). And `cN` expects `e.provider` to be set. Where does `e.provider` get set?\n\nI think the issue is that the request body needs to have the model in `provider,model` format, and CCR parses that to extract the provider. The Router section is only for Claude Code CLI integration where CCR can choose which provider to use - but for direct API calls, the model format must be `provider,model`.\n\nSo the fix is simply: the Router section handles routing WHEN no explicit provider is specified in the model field. Since Claude Code sends model names that are just bare names (like \"claude-sonnet-4-20250514\"), the Router section maps those to provider,model pairs. \n\nWhen calling the API directly via HTTP, you CAN send `provider,model` and it works fine. You can also use the Router by sending just the model name if the Router section is configured correctly. But looking at the config, the Router section says `\"default\": \"ollama,deepseek-v4-pro\"`, so sending `\"model\": \"deepseek-v4-pro\"` SHOULD work - it should fall back to default.\n\nThe issue might be that the Router only works through certain paths/scenario types. Let me fix the config to be more explicit and test again.\n\nActually, let me just stop the CCR background process, restart systemd, and do a final verified test with the proper model format. Then update the systemd unit documentation.\n\nThe systemd unit was already working fine - the issue was just the model format.\n\nLet me also think about why this worked before. In the previous PrintVault session, CCR was used via `ccr code` command which uses Claude Code's internal routing. Claude Code likely sends model names like `\"claude-sonnet-4-20250514\"` which CCR's Router maps to `\"ollama,deepseek-v4-pro\"`. That's the key - the Router section IS used by `ccr code`, but when hitting the API directly, you need to either use `provider,model` format or the Router needs to be in a mode where it intercepts the API path.\n\nLet me just verify one more time with a clean test and then finalize.", "finish_reason": "tool_calls", "reasoning_content": "The issue is that CCR v1.0.48 works but requires the `model` field in the format `\"provider,model\"` (e.g., `\"ollama,deepseek-v4-pro\"`), not just `\"deepseek-v4-pro\"`. The Router section in config.json uses that format correctly, but direct API calls were only sending the model name. \n\nNow I need to fix this permanently. The real question is: why does the Router not resolve short model names properly? Looking at the Router config:\n- `\"default\": \"ollama,deepseek-v4-pro\"` \n\nWhen the Router receives `\"model\": \"deepseek-v4-pro\"`, it should use the `default` route and forward to `\"ollama,deepseek-v4-pro\"`. But clearly it doesn't work that way.\n\nActually wait - the issue is simpler. When I tested directly with `\"model\": \"ollama,deepseek-v4-pro\"`, it worked. When I tested with `\"model\": \"deepseek-v4-pro\"`, it failed with \"Provider 'undefined'\". This means the Router is NOT resolving short names - it's just parsing the model field for `provider,model` format.\n\nThe correct fix is to update the `model` field in requests to use the full `provider,model` format. But for practical use (Claude Code integration), that should be fine since the Router config already specifies `\"ollama,deepseek-v4-pro\"` as default.\n\nActually wait, let me re-read the code. The Router section in CCR should handle this automatically - when the model is just \"deepseek-v4-pro\", it should map it to the default route \"ollama,deepseek-v4-pro\". But clearly it's not doing that.\n\nLet me look at the code flow again. The error comes from `cN` which does:\n```js\nlet o = e.provider;\nlet i = r.providerService.getProvider(o);\nif (!i) throw qn(`Provider '${o}' not found`, ...)\n```\n\nSo `e.provider` is undefined. Where does `e.provider` get set? That happens BEFORE the Router. The Router section is separate. Let me trace this.\n\nActually, looking at the Fastify routes:\n```js\ne.post(r.endPoint, async(n, s) => cN(n, s, e, r))\n```\n\nWhere `r` is the transformer (OpenAI transformer at `/v1/chat/completions`). And `cN` expects `e.provider` to be set. Where does `e.provider` get set?\n\nI think the issue is that the request body needs to have the model in `provider,model` format, and CCR parses that to extract the provider. The Router section is only for Claude Code CLI integration where CCR can choose which provider to use - but for direct API calls, the model format must be `provider,model`.\n\nSo the fix is simply: the Router section handles routing WHEN no explicit provider is specified in the model field. Since Claude Code sends model names that are just bare names (like \"claude-sonnet-4-20250514\"), the Router section maps those to provider,model pairs. \n\nWhen calling the API directly via HTTP, you CAN send `provider,model` and it works fine. You can also use the Router by sending just the model name if the Router section is configured correctly. But looking at the config, the Router section says `\"default\": \"ollama,deepseek-v4-pro\"`, so sending `\"model\": \"deepseek-v4-pro\"` SHOULD work - it should fall back to default.\n\nThe issue might be that the Router only works through certain paths/scenario types. Let me fix the config to be more explicit and test again.\n\nActually, let me just stop the CCR background process, restart systemd, and do a final verified test with the proper model format. Then update the systemd unit documentation.\n\nThe systemd unit was already working fine - the issue was just the model format.\n\nLet me also think about why this worked before. In the previous PrintVault session, CCR was used via `ccr code` command which uses Claude Code's internal routing. Claude Code likely sends model names like `\"claude-sonnet-4-20250514\"` which CCR's Router maps to `\"ollama,deepseek-v4-pro\"`. That's the key - the Router section IS used by `ccr code`, but when hitting the API directly, you need to either use `provider,model` format or the Router needs to be in a mode where it intercepts the API path.\n\nLet me just verify one more time with a clean test and then finalize.", "tool_calls": [ { "id": "call_3x4ptup3", "call_id": "call_3x4ptup3", "response_item_id": "fc_3x4ptup3", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl restart claude-code-router.service 2\\u003e\\u00261; sleep 3; sudo systemctl status claude-code-router.service --no-pager 2\\u003e\\u00261 | head -10\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"● claude-code-router.service - Claude Code Router\\n Loaded: loaded (/etc/systemd/system/claude-code-router.service; enabled; preset: enabled)\\n Active: active (running) since Sun 2026-05-24 09:19:57 CEST; 3s ago\\n Invocation: 03647e0da94a410c983d1fc8598b0505\\n Main PID: 1224795 (node)\\n Tasks: 11 (limit: 9313)\\n Memory: 126.6M (peak: 127.1M)\\n CPU: 934ms\\n CGroup: /system.slice/claude-code-router.service\\n └─1224795 node /DATA/.local/npm-global/bin/ccr start\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_3x4ptup3" }, { "role": "assistant", "content": "", "reasoning": "CCR is running via systemd now. Let me do the final test with the correct `provider,model` format.", "finish_reason": "tool_calls", "reasoning_content": "CCR is running via systemd now. Let me do the final test with the correct `provider,model` format.", "tool_calls": [ { "id": "call_zibi0pvj", "call_id": "call_zibi0pvj", "response_item_id": "fc_zibi0pvj", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\n \\\"model\\\": \\\"ollama,deepseek-v4-pro\\\",\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Reply with exactly one word: OK\\\"}],\\n \\\"max_tokens\\\": 20\\n }' 2\\u003e\\u00261\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"error\\\":{\\\"message\\\":\\\"Provider 'undefined' not foundError: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"type\\\":\\\"api_error\\\",\\\"code\\\":\\\"provider_not_found\\\"}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_zibi0pvj" }, { "role": "assistant", "content": "Hmm — manuell lief's, systemd nicht. Der Unterschied muss in der Environment liegen. Lass mich debuggen:", "reasoning": "Wait - it worked when I ran `HOME=/DATA/.local ccr start` in background, but fails with systemd. The difference must be that systemd doesn't have `HOME=/DATA/.local` set properly, or there's some other env issue. Let me check the systemd unit and compare with the working run.\n\nActually wait - when I ran it in background `proc_748a7e7eb4f4`, I used `HOME=/DATA/.local ccr start`. The systemd unit also has `Environment=\"HOME=/DATA/.local\"`. But maybe it's not picking it up? Let me check the systemd logs more carefully for any startup issues.\n\nActually, the key difference might be that when I ran it manually, it started fresh without stale state. But the systemd restart might have picked up some cached/leftover state. Let me kill the systemd service, clean up any leftover processes/PID files, then restart.", "finish_reason": "tool_calls", "reasoning_content": "Wait - it worked when I ran `HOME=/DATA/.local ccr start` in background, but fails with systemd. The difference must be that systemd doesn't have `HOME=/DATA/.local` set properly, or there's some other env issue. Let me check the systemd unit and compare with the working run.\n\nActually wait - when I ran it in background `proc_748a7e7eb4f4`, I used `HOME=/DATA/.local ccr start`. The systemd unit also has `Environment=\"HOME=/DATA/.local\"`. But maybe it's not picking it up? Let me check the systemd logs more carefully for any startup issues.\n\nActually, the key difference might be that when I ran it manually, it started fresh without stale state. But the systemd restart might have picked up some cached/leftover state. Let me kill the systemd service, clean up any leftover processes/PID files, then restart.", "tool_calls": [ { "id": "call_0az0yfot", "call_id": "call_0az0yfot", "response_item_id": "fc_0az0yfot", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl stop claude-code-router.service 2\\u003e\\u00261\\nsudo journalctl -u claude-code-router --no-pager -n 10 2\\u003e\\u00261\\nps aux | grep ccr | grep -v grep\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"May 24 09:18:58 ZimaOS systemd[1]: claude-code-router.service: Deactivated successfully.\\nMay 24 09:18:58 ZimaOS systemd[1]: Stopped Claude Code Router.\\nMay 24 09:18:58 ZimaOS systemd[1]: claude-code-router.service: Consumed 1.886s CPU time, 220.2M memory peak.\\nMay 24 09:19:57 ZimaOS systemd[1]: Started Claude Code Router.\\nMay 24 09:19:57 ZimaOS ccr[1224795]: Loaded JSON config from: /DATA/.local/.claude-code-router/config.json\\nMay 24 09:20:12 ZimaOS systemd[1]: Stopping Claude Code Router...\\nMay 24 09:20:13 ZimaOS ccr[1225266]: claude code router service has been successfully stopped.\\nMay 24 09:20:13 ZimaOS systemd[1]: claude-code-router.service: Deactivated successfully.\\nMay 24 09:20:13 ZimaOS systemd[1]: Stopped Claude Code Router.\\nMay 24 09:20:13 ZimaOS systemd[1]: claude-code-router.service: Consumed 1.823s CPU time, 220.6M memory peak.\", \"exit_code\": 1, \"error\": null, \"exit_code_meaning\": \"No matches found (not an error)\"}", "tool_call_id": "call_0az0yfot" }, { "role": "assistant", "content": "", "reasoning": "Der manuelle CCR-Start (ccr start) funktionierte, aber systemd nicht. Der Unterschied: Im manuellen Start lief der Prozess unter User az-a mit HOME=/DATA/.local. Unter systemd läuft es auch mit User=az-a und HOME=/DATA/.local — das sollte identisch sein. \n\nLass mich das genauer debuggen. Die Logs zeigen \"Loaded JSON config from: /DATA/.local/.claude-code-router/config.json\". Der Provider wurde im manuellen Lauf auch registriert. Aber warum schlägt systemd fehl?\n\nWarte — der manuelle Start war mit `&` im Hintergrund, was eigentlich geblockt wurde. Ich hatte `proc_748a7e7eb4f4` das erfolgreich war. Das war ein Background-Prozess... der lief aber korrekt.\n\nLass mich den systemd-Lauf direkt mit dem korrekten Format testen. Vielleicht läuft systemd eine ganz andere Version? Ich checke die npm global installation unter dem systemd Context... Aber der systemd-Service zeigt \"ccr start\" und die config wird geladen. \n\nVielleicht ist das Problem, dass der manuelle Lauf eine frische CCR-Instanz gestartet hat, während systemd vielleicht noch den v2-Code cached hatte? Aber ich habe das npm-Paket neu installiert...\n\nLass mich zuerst prüfen, ob der systemd-Prozess wirklich das richtige Binary ausführt und dann direkt debuggen.", "finish_reason": "tool_calls", "reasoning_content": "Der manuelle CCR-Start (ccr start) funktionierte, aber systemd nicht. Der Unterschied: Im manuellen Start lief der Prozess unter User az-a mit HOME=/DATA/.local. Unter systemd läuft es auch mit User=az-a und HOME=/DATA/.local — das sollte identisch sein. \n\nLass mich das genauer debuggen. Die Logs zeigen \"Loaded JSON config from: /DATA/.local/.claude-code-router/config.json\". Der Provider wurde im manuellen Lauf auch registriert. Aber warum schlägt systemd fehl?\n\nWarte — der manuelle Start war mit `&` im Hintergrund, was eigentlich geblockt wurde. Ich hatte `proc_748a7e7eb4f4` das erfolgreich war. Das war ein Background-Prozess... der lief aber korrekt.\n\nLass mich den systemd-Lauf direkt mit dem korrekten Format testen. Vielleicht läuft systemd eine ganz andere Version? Ich checke die npm global installation unter dem systemd Context... Aber der systemd-Service zeigt \"ccr start\" und die config wird geladen. \n\nVielleicht ist das Problem, dass der manuelle Lauf eine frische CCR-Instanz gestartet hat, während systemd vielleicht noch den v2-Code cached hatte? Aber ich habe das npm-Paket neu installiert...\n\nLass mich zuerst prüfen, ob der systemd-Prozess wirklich das richtige Binary ausführt und dann direkt debuggen.", "tool_calls": [ { "id": "call_44kz1mu5", "call_id": "call_44kz1mu5", "response_item_id": "fc_44kz1mu5", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"export PATH=\\\"/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:$PATH\\\" \\u0026\\u0026 HOME=/DATA/.local npm list -g @musistudio/claude-code-router 2\\u003e\\u00261\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"/DATA/.local/nodejs/lib\\n└── @musistudio/claude-code-router@1.0.48\\n\\nnpm notice\\nnpm notice New major version of npm available! 10.9.0 -> 11.15.0\\nnpm notice Changelog: https://github.com/npm/cli/releases/tag/v11.15.0\\nnpm notice To update run: npm install -g npm@11.15.0\\nnpm notice\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_44kz1mu5" }, { "role": "assistant", "content": "Der manuelle Start funktionierte, systemd nicht. Wahrscheinlich ein PID-File-Problem. Lass mich komplett clean starten:", "reasoning": "Wait, the manual ccr start worked with the \"ollama,deepseek-v4-pro\" format, but the systemd one didn't. Let me think about what's different... The systemd unit uses `ExecStart=/DATA/.local/npm-global/bin/ccr start`. When I ran it manually, I used `HOME=/DATA/.local ccr start`. The key difference is that `HOME` is `/DATA/.local` when run manually vs. whatever systemd sets it to.\n\nBut wait — the systemd unit already sets `Environment=\"HOME=/DATA/.local\"`. So that should be the same.\n\nLet me re-read the config. The systemd unit reads from `/DATA/.local/.claude-code-router/config.json`. But when I ran it manually, maybe something else was different.\n\nActually, let me re-check: the manual test that worked used `model: \"ollama,deepseek-v4-pro\"` while the systemd test used the same thing and failed. Let me look more carefully at what happened.\n\nWait — after the manual test, I killed proc_748a7e7eb4f4, then started via systemd. The systemd start might have picked up a different config or there's a race condition with the PID file. Let me check.\n\nActually, the key insight: when `ccr stop` is called by systemd, it might leave a stale PID file, and when `ccr start` is called next, it might try to read that PID file and get confused.\n\nLet me try a completely fresh start: stop systemd, clean up any stale state, then start.", "finish_reason": "tool_calls", "reasoning_content": "Wait, the manual ccr start worked with the \"ollama,deepseek-v4-pro\" format, but the systemd one didn't. Let me think about what's different... The systemd unit uses `ExecStart=/DATA/.local/npm-global/bin/ccr start`. When I ran it manually, I used `HOME=/DATA/.local ccr start`. The key difference is that `HOME` is `/DATA/.local` when run manually vs. whatever systemd sets it to.\n\nBut wait — the systemd unit already sets `Environment=\"HOME=/DATA/.local\"`. So that should be the same.\n\nLet me re-read the config. The systemd unit reads from `/DATA/.local/.claude-code-router/config.json`. But when I ran it manually, maybe something else was different.\n\nActually, let me re-check: the manual test that worked used `model: \"ollama,deepseek-v4-pro\"` while the systemd test used the same thing and failed. Let me look more carefully at what happened.\n\nWait — after the manual test, I killed proc_748a7e7eb4f4, then started via systemd. The systemd start might have picked up a different config or there's a race condition with the PID file. Let me check.\n\nActually, the key insight: when `ccr stop` is called by systemd, it might leave a stale PID file, and when `ccr start` is called next, it might try to read that PID file and get confused.\n\nLet me try a completely fresh start: stop systemd, clean up any stale state, then start.", "tool_calls": [ { "id": "call_3ybe2tld", "call_id": "call_3ybe2tld", "response_item_id": "fc_3ybe2tld", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"sudo systemctl stop claude-code-router.service 2\\u003e/dev/null\\n# Clean stale state\\nrm -f /DATA/.local/.claude-code-router/ccr.pid /DATA/.local/.claude-code-router/ccr.lock 2\\u003e/dev/null\\n# Verify no leftover processes on port 3456\\nkill $(ss -tlnp | grep 3456 | grep -oP 'pid=\\\\K\\\\d+') 2\\u003e/dev/null\\nsleep 2\\n# Fresh start\\nsudo systemctl start claude-code-router.service 2\\u003e\\u00261\\nsleep 4\\nsudo systemctl status claude-code-router.service --no-pager 2\\u003e\\u00261 | head -8\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"● claude-code-router.service - Claude Code Router\\n Loaded: loaded (/etc/systemd/system/claude-code-router.service; enabled; preset: enabled)\\n Active: active (running) since Sun 2026-05-24 09:20:33 CEST; 4s ago\\n Invocation: f42f947adead4863a7614b091e312acf\\n Main PID: 1225787 (node)\\n Tasks: 11 (limit: 9313)\\n Memory: 126.5M (peak: 126.8M)\\n CPU: 964ms\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_3ybe2tld" }, { "role": "assistant", "content": "", "reasoning": "Das Problem ist, dass der CCR-Server unter systemd läuft, aber wenn ich manuell mit `HOME=/DATA/.local ccr start` gestartet habe, hat es funktioniert. Unter systemd sollte HOME auch gesetzt sein (laut Unit-File). \n\nDer Unterschied könnte sein: Beim manuellen Start hatte ich keinen laufenden systemd-Dienst — ich hab ihn vorher gestoppt. Jetzt teste ich mit systemd:\n\nVielleicht liegt's an einem veralteten PID-File oder Cache. Ich hab jetzt einen Clean-Start gemacht. Lass mich den Test nochmal machen.\n\nWichtig: Im manuellen Test hab ich `ollama,deepseek-v4-pro` verwendet. Lass mich das nochmal testen mit dem jetzigen systemd-Dienst.", "finish_reason": "tool_calls", "reasoning_content": "Das Problem ist, dass der CCR-Server unter systemd läuft, aber wenn ich manuell mit `HOME=/DATA/.local ccr start` gestartet habe, hat es funktioniert. Unter systemd sollte HOME auch gesetzt sein (laut Unit-File). \n\nDer Unterschied könnte sein: Beim manuellen Start hatte ich keinen laufenden systemd-Dienst — ich hab ihn vorher gestoppt. Jetzt teste ich mit systemd:\n\nVielleicht liegt's an einem veralteten PID-File oder Cache. Ich hab jetzt einen Clean-Start gemacht. Lass mich den Test nochmal machen.\n\nWichtig: Im manuellen Test hab ich `ollama,deepseek-v4-pro` verwendet. Lass mich das nochmal testen mit dem jetzigen systemd-Dienst.", "tool_calls": [ { "id": "call_8ox0ouhs", "call_id": "call_8ox0ouhs", "response_item_id": "fc_8ox0ouhs", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -H \\\"Authorization: Bearer kiwi-ccr-local\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n http://localhost:3456/v1/chat/completions \\\\\\n -d '{\\n \\\"model\\\": \\\"ollama,deepseek-v4-pro\\\",\\n \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Reply one word: yes\\\"}],\\n \\\"max_tokens\\\": 20\\n }' 2\\u003e\\u00261\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\\"error\\\":{\\\"message\\\":\\\"Provider 'undefined' not foundError: Provider 'undefined' not found\\\\n at qn (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:7451)\\\\n at cN (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:8525)\\\\n at Object. (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:582:12405)\\\\n at E (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41258)\\\\n at g (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:41002)\\\\n at j (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29335)\\\\n at ee (/DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js:56:29463)\\\\n at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\\\",\\\"type\\\":\\\"api_error\\\",\\\"code\\\":\\\"provider_not_found\\\"}}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_8ox0ouhs" }, { "role": "assistant", "content": "Der Unterschied zwischen manuellem Start und systemd muss an der Config-Loading-Pipeline liegen. Lass mich genauer untersuchen:", "reasoning": "Wait, the manual start with `ccr start` in the background worked and returned a valid response with `\"model\":\"ollama,deepseek-v4-pro\"`. But the systemd service consistently returns \"Provider 'undefined' not found\". The difference must be in how the model parameter is being parsed between the two.\n\nLet me look more carefully at the code. In the `cN` function:\n\n```javascript\nasync function cN(e, t, r, n) {\n let s = e.body\n , o = e.provider\n , i = r.providerService.getProvider(o);\n```\n\nIt uses `e.provider` directly. But where is `e.provider` set? Let me trace further back. The request handler at line `Dg`:\n\n```javascript\ne.post(r.endPoint, async (n, s) => cN(n, s, e, r));\n```\n\nSo `n` is the fastify request object. Where does `e.provider` come from on the request? There must be a hook or middleware that parses the model and sets `e.provider`. Let me search for that.\n\nLet me look at where the provider is extracted from the model string in the cli.js.", "finish_reason": "tool_calls", "reasoning_content": "Wait, the manual start with `ccr start` in the background worked and returned a valid response with `\"model\":\"ollama,deepseek-v4-pro\"`. But the systemd service consistently returns \"Provider 'undefined' not found\". The difference must be in how the model parameter is being parsed between the two.\n\nLet me look more carefully at the code. In the `cN` function:\n\n```javascript\nasync function cN(e, t, r, n) {\n let s = e.body\n , o = e.provider\n , i = r.providerService.getProvider(o);\n```\n\nIt uses `e.provider` directly. But where is `e.provider` set? Let me trace further back. The request handler at line `Dg`:\n\n```javascript\ne.post(r.endPoint, async (n, s) => cN(n, s, e, r));\n```\n\nSo `n` is the fastify request object. Where does `e.provider` come from on the request? There must be a hook or middleware that parses the model and sets `e.provider`. Let me search for that.\n\nLet me look at where the provider is extracted from the model string in the cli.js.", "tool_calls": [ { "id": "call_c7ulptbm", "call_id": "call_c7ulptbm", "response_item_id": "fc_c7ulptbm", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"grep -n \\\"provider.*=.*model\\\\|e\\\\.provider\\\\s*=\\\" /DATA/.local/npm-global/lib/node_modules/@musistudio/claude-code-router/dist/cli.js 2\\u003e/dev/null | head -20\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"28:`+D+\\\"]\\\"}return i.pop(),a=D,y}}}),Dp=Ur((e,t)=>{var r=Zb(),n=Kb(),s={parse:r,stringify:n};t.exports=s}),Cp=Ur((e,t)=>{t.exports={LOCHDR:30,LOCSIG:67324752,LOCVER:4,LOCFLG:6,LOCHOW:8,LOCTIM:10,LOCCRC:14,LOCSIZ:18,LOCLEN:22,LOCNAM:26,LOCEXT:28,EXTSIG:134695760,EXTHDR:16,EXTCRC:4,EXTSIZ:8,EXTLEN:12,CENHDR:46,CENSIG:33639248,CENVEM:4,CENVER:6,CENFLG:8,CENHOW:10,CENTIM:12,CENCRC:16,CENSIZ:20,CENLEN:24,CENNAM:28,CENEXT:30,CENCOM:32,CENDSK:34,CENATT:36,CENATX:38,CENOFF:42,ENDHDR:22,ENDSIG:101010256,ENDSUB:8,ENDTOT:10,ENDSIZ:12,ENDOFF:16,ENDCOM:20,END64HDR:20,END64SIG:117853008,END64START:4,END64OFF:8,END64NUMDISKS:16,ZIP64SIG:101075792,ZIP64HDR:56,ZIP64LEAD:12,ZIP64SIZE:4,ZIP64VEM:12,ZIP64VER:14,ZIP64DSK:16,ZIP64DSKDIR:20,ZIP64SUB:24,ZIP64TOT:32,ZIP64SIZB:40,ZIP64OFF:48,ZIP64EXTRA:56,STORED:0,SHRUNK:1,REDUCED1:2,REDUCED2:3,REDUCED3:4,REDUCED4:5,IMPLODED:6,DEFLATED:8,ENHANCED_DEFLATED:9,PKWARE:10,BZIP2:12,LZMA:14,IBM_TERSE:18,IBM_LZ77:19,AES_ENCRYPT:99,FLG_ENC:1,FLG_COMP1:2,FLG_COMP2:4,FLG_DESC:8,FLG_ENH:16,FLG_PATCH:32,FLG_STR:64,FLG_EFS:2048,FLG_MSK:4096,FILE:2,BUFFER:1,NONE:0,EF_ID:0,EF_SIZE:2,ID_ZIP64:1,ID_AVINFO:7,ID_PFS:8,ID_OS2:9,ID_NTFS:10,ID_OPENVMS:12,ID_UNIX:13,ID_FORK:14,ID_PATCH:15,ID_X509_PKCS7:20,ID_X509_CERTID_F:21,ID_X509_CERTID_C:22,ID_STRONGENC:23,ID_RECORD_MGT:24,ID_X509_PKCS7_RL:25,ID_IBM1:101,ID_IBM2:102,ID_POSZIP:18064,EF_ZIP64_OR_32:4294967295,EF_ZIP64_OR_16:65535,EF_ZIP64_SUNCOMP:0,EF_ZIP64_SCOMP:8,EF_ZIP64_RHO:16,EF_ZIP64_DSN:24}}),eh=Ur(e=>{var t={INVALID_LOC:\\\"Invalid LOC header (bad signature)\\\",INVALID_CEN:\\\"Invalid CEN header (bad signature)\\\",INVALID_END:\\\"Invalid END header (bad signature)\\\",DESCRIPTOR_NOT_EXIST:\\\"No descriptor present\\\",DESCRIPTOR_UNKNOWN:\\\"Unknown descriptor format\\\",DESCRIPTOR_FAULTY:\\\"Descriptor data is malformed\\\",NO_DATA:\\\"Nothing to decompress\\\",BAD_CRC:\\\"CRC32 checksum failed {0}\\\",FILE_IN_THE_WAY:\\\"There is a file in the way: {0}\\\",UNKNOWN_METHOD:\\\"Invalid/unsupported compression method\\\",AVAIL_DATA:\\\"inflate::Available inflate data did not terminate\\\",INVALID_DISTANCE:\\\"inflate::Invalid literal/length or distance code in fixed or dynamic block\\\",TO_MANY_CODES:\\\"inflate::Dynamic block code description: too many length or distance codes\\\",INVALID_REPEAT_LEN:\\\"inflate::Dynamic block code description: repeat more than specified lengths\\\",INVALID_REPEAT_FIRST:\\\"inflate::Dynamic block code description: repeat lengths with no first length\\\",INCOMPLETE_CODES:\\\"inflate::Dynamic block code description: code lengths codes incomplete\\\",INVALID_DYN_DISTANCE:\\\"inflate::Dynamic block code description: invalid distance code lengths\\\",INVALID_CODES_LEN:\\\"inflate::Dynamic block code description: invalid literal/length code lengths\\\",INVALID_STORE_BLOCK:\\\"inflate::Stored block length did not match one's complement\\\",INVALID_BLOCK_TYPE:\\\"inflate::Invalid block type (type == 3)\\\",CANT_EXTRACT_FILE:\\\"Could not extract the file\\\",CANT_OVERRIDE:\\\"Target file already exists\\\",DISK_ENTRY_TOO_LARGE:\\\"Number of disk entries is too large\\\",NO_ZIP:\\\"No zip file was loaded\\\",NO_ENTRY:\\\"Entry doesn't exist\\\",DIRECTORY_CONTENT_ERROR:\\\"A directory cannot have content\\\",FILE_NOT_FOUND:'File not found: \\\"{0}\\\"',NOT_IMPLEMENTED:\\\"Not implemented\\\",INVALID_FILENAME:\\\"Invalid filename\\\",INVALID_FORMAT:\\\"Invalid or unsupported zip format. 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r=this.plugins.get(e);r&&(r.enabled=t)}removePlugin(e){this.plugins.delete(e),this.pluginInstances.delete(e)}clear(){this.plugins.clear(),this.pluginInstances.clear()}},Hh=new I6,b6=vs(iN(),1),x6=class extends TransformStream{buffer=\\\"\\\";currentEvent={};constructor(){super({transform:(e,t)=>{this.buffer+=e;let r=this.buffer.split(`\\n847:`,t.enqueue(r)}})}};aD();lD();AD();sN();var $a=new Map,mh=new Map,SD={name:\\\"token-speed\\\",version:\\\"1.0.0\\\",description:\\\"Statistics for streaming response token generation speed\\\",register:(0,b6.default)(async(e,t)=>{let r={reporter:[\\\"console\\\",\\\"temp-file\\\"],...t},n=Array.isArray(r.reporter)?r.reporter:[r.reporter];if(r.outputHandlers&&r.outputHandlers.length>0)Ja.registerHandlers(r.outputHandlers);else{let o=[];for(let i of 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Hg(m,n,r.outputOptions,D).catch(B=>{e.log?.warn(`Failed to output streaming stats: ${B.message}`)})};try{let D=f.pipeThrough(new TextDecoderStream).pipeThrough(new x6).getReader();for(g=setInterval(async()=>{$a.get(l)&&await E(!1)},1e3);;){let{done:m,value:y}=await D.read();if(m)break;let B=y,I=$a.get(l);if(!I)continue;let C=performance.now();if(!I.firstTokenTime&&(B.event===\\\"content_block_start\\\"||B.event===\\\"content_block_delta\\\"||B.event===\\\"text_block\\\"||B.event===\\\"content_block\\\")&&(I.firstTokenTime=C,I.timeToFirstToken=Math.round(C-I.startTime)),B.event===\\\"content_block_delta\\\"&&B.data?.delta){let b=B.data.delta.type,w=\\\"\\\";if(b===\\\"text_delta\\\"?w=B.data.delta.text||\\\"\\\":b===\\\"input_json_delta\\\"?w=B.data.delta.partial_json||\\\"\\\":b===\\\"thinking_delta\\\"&&(w=B.data.delta.thinking||\\\"\\\"),w){let v=h&&h.encodeText?h.encodeText(w).length:Fl(w);I.tokenCount+=v,I.lastTokenTime=C;for(let x=0;x{console.log(g),e.log?.warn(`Background stats 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