{
  "session_id": "20260524_101456_62e27a",
  "model": "deepseek-v4-pro",
  "base_url": "https://ollama.com/v1",
  "platform": "telegram",
  "session_start": "2026-05-24T10:14:56.348446",
  "last_updated": "2026-05-24T10:18:01.259800",
  "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. 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save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked.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/<name>/). 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<available_skills>\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  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    - 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</available_skills>\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Sunday, May 24, 2026 10:15 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": "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": "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=<umbrella>` 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 <name>`. 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"
            }
          }
        }
      }
    }
  ],
  "message_count": 46,
  "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": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\n\"bitte arbeite so lange dran, bis es funktioniert\" — Claude Code CLI muss über den lokalen kiwi-proxy mit Ollama Cloud kommunizieren und sichtbare Text-Antworten im Terminal liefern.\n\n## Goal\nClaude Code CLI v2.1.145 mit Ollama Cloud als Backend über einen lokalen Proxy vollständig funktionsfähig machen, um anschließend Harness-Plugin-Tests (Plan → Work → Review) durchführen zu können.\n\n## Constraints & Preferences\n- Nutzt systemd-Services für Persistenz (User az-a, Group samba).\n- CCR (Claude Code Router) wurde wegen Parsing-Bugs in v2.0.0 verworfen.\n- Proxy muss Anthropic Messages API → Ollama Cloud OpenAI Completions übersetzen.\n- ENV-basierte Konfiguration (`ANTHROPIC_BASE_URL`, `ANTHROPIC_API_KEY`) wird bevorzugt, um interaktive Auth-Flows zu vermeiden.\n- Ausgaben von Claude Code müssen im Terminal sichtbar sein (kein stummes exit 0).\n\n## Completed Actions\n1. CHECKED CCR v2.0.0 — Provider-Parsing akzeptiert `ollama,deepseek-v4-pro` nicht; Config-URL-Formate `/v1` vs `/v1/chat/completions` getestet; keine Abhilfe [tool: terminal].\n2. STOPPED & DISABLED `claude-code-router.service` — CCR-Lösung abgebrochen [tool: terminal, systemctl].\n3. CREATED `/DATA/AppData/kiwi-proxy/proxy.py` — FastAPI-Proxy (Anthropic API → Ollama Cloud), Port 3456; später vollständig neu geschrieben mit isolierter Body-Verarbeitung [tool: write_file].\n4. INSTALLED Python-Deps — `fastapi`, `uvicorn`, `httpx` via pip in Umgebung [tool: terminal].\n5. CREATED/INSTALLED `/etc/systemd/system/kiwi-proxy.service` — systemd-Unit für automatischen Start [tool: write_file + terminal].\n6. STARTED/ENABLED `kiwi-proxy.service` — Health-Check `{\"status\":\"ok\",\"proxy\":\"kiwi-ccr\",\"upstream\":\"https://ollama.com/v1\"}` erfolgreich [tool: terminal].\n7. FIXED Proxy-Bug — `max_tokens` Minimum auf 100 erhöht; Ollama Cloud lieferte bei ≤50 Tokens oft leeren `content` [tool: patch].\n8. FIXED Proxy-Bug — Doppeltes `await request.json()` entfernt; Request-Body wird jetzt exakt einmal in `messages()` gelesen und als Dict an `handle_messages(body)` übergeben [tool: write_file].\n9. FIXED Proxy-Bug — Catch-All-Routing bereinigt; dedizierter `POST /v1/messages` Handler garantiert [tool: patch].\n10. VERIFIED Proxy via curl — `POST /v1/messages` mit Header `x-api-key: [REDACTED]` liefert gültige Anthropic-Response (content \"OK\", 200 OK, tokens=42) [tool: terminal].\n11. ATTEMPTED Claude Code Bindung — `ANTHROPIC_BASE_URL=\"http://localhost:3456\"` und `ANTHROPIC_API_KEY=\"[REDACTED]\"` gesetzt; Befehle `claude -p \"Say OK\"`, `claude --bare -p ...`, `claude -d api ...` ausgeführt [tool: terminal].\n12. DIAGNOSED Silent-Failure — `claude -p` liefert exit 0, aber stdout/stderr bleiben leer; `sudo journalctl -u kiwi-proxy` zeigt bei letzten `claude`-Aufrufen `-- No entries --` / keine neuen Hits; Verdacht auf Auth-Cache in `/DATA/.local/.claude.json` oder ENV-Ignoranz durch CLI [tool: terminal, systemctl].\n\n## Active State\n- Working directory: Tests primär aus `/tmp`.\n- Proxy: `kiwi-proxy.service` aktiv unter Port 3456; Code in `/DATA/AppData/kiwi-proxy/proxy.py`.\n- Proxy-Health: curl gegen `/health` OK; `/v1/messages` liefert Text-Response.\n- Claude Code: v2.1.145 installiert unter `/DATA/.local/npm-global/bin/claude` (Node-Skript).\n- CCR: v2.0.0 installiert aber gestoppt/disabled; Config in `/DATA/.local/.claude-code-router/config.json` inaktiv.\n- Auth-Cache: `/DATA/.local/.claude.json` existiert (Inhalt nicht vollständig einsehbar in Logs).\n- Proxy-Logs: Letzte erfolgreiche Proxy-Antworten an curl bestätigt; keine Logs von `claude`-Prozessen seit Rewrite.\n- Keine laufenden Hintergrundprozesse von früheren Test-Sessions aktiv (alle `proc_*` beendet).\n\n## In Progress\n- Fehlerursache für stummes `claude -p` (exit 0, kein Output, keine Proxy-Anfragen) identifizieren und beheben.\n- Hypothese: Claude Code ignoriert `ANTHROPIC_BASE_URL`/`ANTHROPIC_API_KEY`, weil `/DATA/.local/.claude.json` einen gespeicherten Auth-State enthält oder ein OAuth-Refresh vorrangig behandelt.\n- Nächster Schritt: Auth-Cache löschen, Proxy um `/v1/models` erweitern (falls CLI prüft), oder alternativen Startmodus (`--bare`, interactive mit `<<< \"exit\"` etc.) testen.\n\n## Blocked\n- Claude Code CLI (`claude -p`) verbindet aktuell nicht mit dem Proxy und bleibt stumm. Exakte Fehlermeldung fehlt, da stdout/stderr leer sind. Proxy-Log (`journalctl -u kiwi-proxy --since \"30 seconds ago\"`) lieferte `-- No entries --` bei den letzten direkten Versuchen.\n\n## Key Decisions\n1. CCR v2.0.0 verworfen — unbekannter Provider-Parsing-Bug ließ sich nicht schnell beheben; eigener Proxy ist zuverlässiger.\n2. Eigener FastAPI-Proxy statt CCR — direkte Übersetzung Anthropic ↔ OpenAI gibt volle Kontrolle über Request/Response.\n3. systemd-Service für Proxy — garantiert Persistenz über Sitzungen hinaus.\n4. Body-once-Prinzip im Proxy — FastAPI-Request-Body kann nur einmal konsumiert werden; frühere Architektur mit doppeltem `.json()`-Aufruf führte zu leeren Payloads.\n5. `max_tokens` Floor von 100 — verhindert leere Ollama-Antworten bei sehr niedrigen Limits.\n\n## Resolved Questions\n- \"Warum liefert Ollama direkt eine Antwort, CCR aber nicht?\" — CCR v2.0.0 parst die Provider-Config fehlerhaft; eigener Proxy umgeht dies.\n- \"Ist Claude Code nativ mit Ollama kompatibel?\" — Nein, nur Anthropic/Bedrock/Vertex; Proxy ist zwingend nötig.\n\n## Pending User Asks\nNone.\n\n## Relevant Files\n- `/DATA/AppData/kiwi-proxy/proxy.py` — FastAPI-Proxy (Anthropic → Ollama Cloud). Aktuellste Version nach Rewrite mit `handle_messages`-Isolation.\n- `/etc/systemd/system/kiwi-proxy.service` — systemd-Unit (User az-a,\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---",
      "reasoning": "Claude Code is exit 0, produces no output, and doesn't hit the proxy. This means Claude Code is exiting early, possibly because it thinks it needs OAuth credentials, or it's failing silently. Let me look at the actual error — maybe Claude Code falls back to OAuth and exits when that fails. Let me try a completely different approach: use `ANTHROPIC_API_KEY` via a settings file.\n\nActually, wait. The `claude` binary is at `/DATA/.local/npm-global/bin/claude` and it's linked to `/DATA/.local/npm-global/lib/node_modules/@anthropic-ai/claude-code/bin/claude.exe`. Let me check if it's actually a Node.js script or something else. Also `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` are the correct env vars according to Anthropic docs.\n\nThe fact that Claude Code exits with 0 but no output and no proxy hits means it might be erroring on initialization and then just exiting. Maybe it can't write to some directory, or maybe it tries OAuth first. Let me check if there's a `~/.claude.json` that has auth config.\n\nActually, looking at the earlier log: it DID hit the proxy once (the `claude -p` call at the beginning), showing \"OK: 2 chars\". Then after the proxy restart, it stopped hitting. Maybe Claude Code cached something? Or maybe it only works the first time?\n\nLet me try a completely fresh approach: write the apiKey directly via `claude setup-token` or use `--settings`.\n\nWait — I should try the simplest possible thing: `claude -p \"hi\" --output-format json` piped to a file, with `ANTHROPIC_LOG=debug` set.\n\nActually, let me try something: Claude Code v2.1.145 might need `ANTHROPIC_API_KEY` to be set differently. Let me check the docs by looking at the source.\n\nOr better: let me just look at what the `claude` command actually does. Let me cat the claude.exe file (it's likely a Node.js script).",
      "finish_reason": "tool_calls",
      "reasoning_content": "Claude Code is exit 0, produces no output, and doesn't hit the proxy. This means Claude Code is exiting early, possibly because it thinks it needs OAuth credentials, or it's failing silently. Let me look at the actual error — maybe Claude Code falls back to OAuth and exits when that fails. Let me try a completely different approach: use `ANTHROPIC_API_KEY` via a settings file.\n\nActually, wait. The `claude` binary is at `/DATA/.local/npm-global/bin/claude` and it's linked to `/DATA/.local/npm-global/lib/node_modules/@anthropic-ai/claude-code/bin/claude.exe`. Let me check if it's actually a Node.js script or something else. Also `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` are the correct env vars according to Anthropic docs.\n\nThe fact that Claude Code exits with 0 but no output and no proxy hits means it might be erroring on initialization and then just exiting. Maybe it can't write to some directory, or maybe it tries OAuth first. Let me check if there's a `~/.claude.json` that has auth config.\n\nActually, looking at the earlier log: it DID hit the proxy once (the `claude -p` call at the beginning), showing \"OK: 2 chars\". Then after the proxy restart, it stopped hitting. Maybe Claude Code cached something? Or maybe it only works the first time?\n\nLet me try a completely fresh approach: write the apiKey directly via `claude setup-token` or use `--settings`.\n\nWait — I should try the simplest possible thing: `claude -p \"hi\" --output-format json` piped to a file, with `ANTHROPIC_LOG=debug` set.\n\nActually, let me try something: Claude Code v2.1.145 might need `ANTHROPIC_API_KEY` to be set differently. Let me check the docs by looking at the source.\n\nOr better: let me just look at what the `claude` command actually does. Let me cat the claude.exe file (it's likely a Node.js script).",
      "tool_calls": [
        {
          "id": "call_wjqrnjlx",
          "call_id": "call_wjqrnjlx",
          "response_item_id": "fc_wjqrnjlx",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"head -5 /DATA/.local/npm-global/lib/node_modules/@anthropic-ai/claude-code/bin/claude.exe 2\\u003e\\u00261\",\"timeout\":5}"
          }
        },
        {
          "id": "call_0tmryifp",
          "call_id": "call_0tmryifp",
          "response_item_id": "fc_0tmryifp",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"ANTHROPIC_BASE_URL=\\\"http://localhost:3456\\\" ANTHROPIC_API_KEY=\\\"kiwi-ccr-local\\\" ANTHROPIC_LOG=debug PATH=\\\"/DATA/.local/npm-global/bin:$PATH\\\" claude -p \\\"hi\\\" --output-format json 2\\u003e/tmp/claude-err.log 1\\u003e/tmp/claude-out.log; echo \\\"EXIT:$?\\\"; echo \\\"---STDOUT---\\\"; cat /tmp/claude-out.log | head -20; echo \\\"---STDERR---\\\"; cat /tmp/claude-err.log | head -20\",\"timeout\":30}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
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      "tool_call_id": "call_wjqrnjlx"
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"EXIT:0\\n---STDOUT---\\n---STDERR---\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_0tmryifp"
    },
    {
      "role": "assistant",
      "content": "Claude Code ist ein nativer Binary (ELF), kein Node-Script. Die ENV-Variablen werden ignoriert! Ich brauch einen anderen Ansatz – OAuth-Setup oder die richtigen Settings:",
      "reasoning": "Claude Code is a native binary (ELF), not a Node.js script. And it doesn't even connect to the proxy — both stdout and stderr are empty. The proxy logs show no requests either.\n\nThis means Claude Code v2.1.145 is IGNORING `ANTHROPIC_BASE_URL`. Maybe this version only supports Bedrock/Vertex for 3rd party providers, or needs a specific config file.\n\nLet me check if there's a `.claude` config directory or settings that could override this. The binary is the official Claude Code from npm — maybe newer versions require OAuth and ignore the env vars, or maybe `--settings` is needed to set a custom base URL.\n\nActually — wait. The first test DID work (the proxy logged a request). But subsequent tests didn't. Let me look more carefully. The first working test was `claude -p \"Say OK\"` which the proxy logged with `PROXY] REQ: model=claude-sonnet-4-20250514, stream=None, msgs=1, max_tokens=100` and then responded OK. But after restarting the proxy, no more requests came.\n\nActually, maybe the first request came from my direct curl test, not from claude. Let me re-read the timeline:\n1. I restarted proxy and tested with curl → works (health + messages)\n2. I ran `claude -p \"Say OK\"` — proxy logged `[PROXY] REQ:` with the debug output. This confirms Claude Code DID connect once.\n3. After adding more debug output and restarting proxy, no more connections.\n\nWait — the debug output showed `stream=None` which is odd since Claude Code should request streaming. And `model=claude-sonnet-4-20250514` — that's the model FROM our test curl, not necessarily from Claude Code. \n\nActually, I think I may have been testing with curl and confusing the logs. Let me verify by checking if the proxy actually caught a Claude Code request vs my curl request. The journalctl output shows a request at 10:08:22 — that matches the timing of my curl test right after restarting the proxy. The `claude -p` timing was at 10:09+ and showed nothing.\n\nSo Claude Code NEVER connected. The env vars are being ignored. \n\nThis is likely because Claude Code v2.1+ requires a different mechanism. Let me check what settings Claude Code actually reads. Maybe I need to create `~/.claude/settings.json` or use a `claude.json` config.\n\nActually, the issue might be simpler. Claude Code is a native binary that might require OAuth login first. The `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` env vars might only work after authentication is set up, or the binary version might not support them at all (they were for the Node.js version).\n\nThe `--settings` flag might be the key — Claude Code can take an apiKeyHelper setting. Let me try setting it up properly via settings file or apiKeyHelper.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Claude Code is a native binary (ELF), not a Node.js script. And it doesn't even connect to the proxy — both stdout and stderr are empty. The proxy logs show no requests either.\n\nThis means Claude Code v2.1.145 is IGNORING `ANTHROPIC_BASE_URL`. Maybe this version only supports Bedrock/Vertex for 3rd party providers, or needs a specific config file.\n\nLet me check if there's a `.claude` config directory or settings that could override this. The binary is the official Claude Code from npm — maybe newer versions require OAuth and ignore the env vars, or maybe `--settings` is needed to set a custom base URL.\n\nActually — wait. The first test DID work (the proxy logged a request). But subsequent tests didn't. Let me look more carefully. The first working test was `claude -p \"Say OK\"` which the proxy logged with `PROXY] REQ: model=claude-sonnet-4-20250514, stream=None, msgs=1, max_tokens=100` and then responded OK. But after restarting the proxy, no more requests came.\n\nActually, maybe the first request came from my direct curl test, not from claude. Let me re-read the timeline:\n1. I restarted proxy and tested with curl → works (health + messages)\n2. I ran `claude -p \"Say OK\"` — proxy logged `[PROXY] REQ:` with the debug output. This confirms Claude Code DID connect once.\n3. After adding more debug output and restarting proxy, no more connections.\n\nWait — the debug output showed `stream=None` which is odd since Claude Code should request streaming. And `model=claude-sonnet-4-20250514` — that's the model FROM our test curl, not necessarily from Claude Code. \n\nActually, I think I may have been testing with curl and confusing the logs. Let me verify by checking if the proxy actually caught a Claude Code request vs my curl request. The journalctl output shows a request at 10:08:22 — that matches the timing of my curl test right after restarting the proxy. The `claude -p` timing was at 10:09+ and showed nothing.\n\nSo Claude Code NEVER connected. The env vars are being ignored. \n\nThis is likely because Claude Code v2.1+ requires a different mechanism. Let me check what settings Claude Code actually reads. Maybe I need to create `~/.claude/settings.json` or use a `claude.json` config.\n\nActually, the issue might be simpler. Claude Code is a native binary that might require OAuth login first. The `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` env vars might only work after authentication is set up, or the binary version might not support them at all (they were for the Node.js version).\n\nThe `--settings` flag might be the key — Claude Code can take an apiKeyHelper setting. Let me try setting it up properly via settings file or apiKeyHelper.",
      "tool_calls": [
        {
          "id": "call_f537nhvo",
          "call_id": "call_f537nhvo",
          "response_item_id": "fc_f537nhvo",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"cat /DATA/.local/.claude.json 2\\u003e\\u00261 | python3 -c \\\"import sys,json; d=json.load(sys.stdin); print('hasCompletedOnboarding:', d.get('hasCompletedOnboarding')); print('keys:', list(d.keys()))\\\"\",\"timeout\":5}"
          }
        },
        {
          "id": "call_ezkqxtzu",
          "call_id": "call_ezkqxtzu",
          "response_item_id": "fc_ezkqxtzu",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"ls /DATA/.local/.claude/settings* 2\\u003e\\u00261; echo \\\"===\\\"; cat /DATA/.local/.claude/CLAUDE.md 2\\u003e\\u00261 | head -5\",\"timeout\":5}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"hasCompletedOnboarding: True\\nkeys: ['numStartups', 'autoUpdaterStatus', 'userID', 'hasCompletedOnboarding', 'lastOnboardingVersion', 'projects', 'firstStartTime', 'opusProMigrationComplete', 'sonnet1m45MigrationComplete', 'seenNotifications', 'migrationVersion']\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_f537nhvo"
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"ls: cannot access '/DATA/.local/.claude/settings*': No such file or directory\\n===\\ncat: /DATA/.local/.claude/CLAUDE.md: No such file or directory\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_ezkqxtzu"
    },
    {
      "role": "user",
      "content": "[Your active task list was preserved across context compression]\n- [ ] 3. Claude Code mit CCR als Backend konfigurieren (pending)\n- [ ] 4. Claude Code Harness Plugin installieren (pending)\n- [ ] 5. End-to-End Test: Harness Plan → Work → Review (pending)\n- [>] 3b. Claude Code via ANTHROPIC_BASE_URL an Proxy binden (in_progress)"
    },
    {
      "role": "assistant",
      "content": "Claude Code ist ein nativer ELF-Binary — ignoriert ENV-Variablen komplett. Kein Wunder dass nix ging. Jetzt der richtige Weg: Echte Config-Injection.",
      "reasoning": "Claude Code ist ein nativer Binary, keine Shell/Node-Wrapper. Es ignoriert `ANTHROPIC_BASE_URL` und `ANTHROPIC_API_KEY` komplett. Es startet und exit 0, macht aber keine Requests an den Proxy. Das Problem ist fundamental — Claude Code CLI ist dafür gebaut, über die offizielle Anthropic API oder Bedrock/Vertex zu laufen. Es gibt spezielle Konfigurationsdateien oder OAuth-Flows, die wir überspringen müssen.\n\nLass mich recherchieren wie man Claude Code mit 3rd-party Proxies betreibt. Die meisten Leute nutzen CCR (Claude Code Router) genau dafür. Unser Proxy funktioniert mit curl, aber Claude Code ignoriert ihn.\n\nIch muss tiefer gehen — entweder das Binary patchen oder den richtigen Config-Pfad finden. Vielleicht gibt es eine `settings.json`, eine `.env`-Datei, oder einen Environment-Injector.\n\nLass mich einen anderen Ansatz versuchen: Den Claude Code Binary mit LD_PRELOAD wrappen, um die ENV-Variablen zu injecten, oder die Config-Datei zu manipulieren.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Claude Code ist ein nativer Binary, keine Shell/Node-Wrapper. Es ignoriert `ANTHROPIC_BASE_URL` und `ANTHROPIC_API_KEY` komplett. Es startet und exit 0, macht aber keine Requests an den Proxy. Das Problem ist fundamental — Claude Code CLI ist dafür gebaut, über die offizielle Anthropic API oder Bedrock/Vertex zu laufen. Es gibt spezielle Konfigurationsdateien oder OAuth-Flows, die wir überspringen müssen.\n\nLass mich recherchieren wie man Claude Code mit 3rd-party Proxies betreibt. Die meisten Leute nutzen CCR (Claude Code Router) genau dafür. Unser Proxy funktioniert mit curl, aber Claude Code ignoriert ihn.\n\nIch muss tiefer gehen — entweder das Binary patchen oder den richtigen Config-Pfad finden. Vielleicht gibt es eine `settings.json`, eine `.env`-Datei, oder einen Environment-Injector.\n\nLass mich einen anderen Ansatz versuchen: Den Claude Code Binary mit LD_PRELOAD wrappen, um die ENV-Variablen zu injecten, oder die Config-Datei zu manipulieren.",
      "tool_calls": [
        {
          "id": "call_3ezqq8v6",
          "call_id": "call_3ezqq8v6",
          "response_item_id": "fc_3ezqq8v6",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"strings /DATA/.local/npm-global/lib/node_modules/@anthropic-ai/claude-code/bin/claude.exe | grep -i \\\"base_url\\\\|api_key\\\\|anthropic.*url\\\\|credentials\\\" | head -20\",\"timeout\":10}"
          }
        },
        {
          "id": "call_jdjw0a98",
          "call_id": "call_jdjw0a98",
          "response_item_id": "fc_jdjw0a98",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"find /DATA/.local/.claude -type f -name \\\"*.json\\\" -o -name \\\"*settings*\\\" -o -name \\\"*config*\\\" 2\\u003e/dev/null\",\"timeout\":5}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"access-control-allow-credentials\\nMissingCredentials\\nAccess-Control-Allow-Credentials\\nMissing S3 credentials. 'accessKeyId', 'secretAccessKey', 'bucket', and 'endpoint' are required\\nERR_S3_MISSING_CREDENTIALS\\nFailed to retrieve S3 content. Are the credentials correct?\\n\\\";return r}function utf16Text(buf,i){if((buf.length-i)%2===0){var r=buf.toString(\\\"utf16le\\\",i);if(r){var c=r.charCodeAt(r.length-1);if(c>=55296&&c<=56319)return this.lastNeed=2,this.lastTotal=4,this.lastChar[0]=buf[buf.length-2],this.lastChar[1]=buf[buf.length-1],r.slice(0,-1)}return r}return this.lastNeed=1,this.lastTotal=2,this.lastChar[0]=buf[buf.length-1],buf.toString(\\\"utf16le\\\",i,buf.length-1)}function utf16End(buf){var r=buf&&buf.length?this.write(buf):\\\"\\\";if(this.lastNeed){var end=this.lastTotal-this.lastNeed;return r+this.lastChar.toString(\\\"utf16le\\\",0,end)}return r}function base64Text(buf,i){var n=(buf.length-i)%3;if(n===0)return buf.toString(\\\"base64\\\",i);if(this.lastNeed=3-n,this.lastTotal=3,n===1)this.lastChar[0]=buf[buf.length-1];else this.lastChar[0]=buf[buf.length-2],this.lastChar[1]=buf[buf.length-1];return buf.toString(\\\"base64\\\",i,buf.length-n)}function base64End(buf){var r=buf&&buf.length?this.write(buf):\\\"\\\";if(this.lastNeed)return r+this.lastChar.toString(\\\"base64\\\",0,3-this.lastNeed);return r}function simpleWrite(buf){return buf.toString(this.encoding)}function simpleEnd(buf){return buf&&buf.length?this.write(buf):\\\"\\\"}});var require_end_of_stream=__commonJS((exports,module)=>{var ERR_STREAM_PREMATURE_CLOSE=require_errors().codes.ERR_STREAM_PREMATURE_CLOSE;function once(callback){var called=!1;return function(){if(called)return;called=!0;for(var _len=arguments.length,args=Array(_len),_key=0;_key<_len;_key++)args[_key]=arguments[_key];callback.apply(this,args)}}function noop(){}function isRequest(stream){return stream.setHeader&&typeof stream.abort===\\\"function\\\"}function eos(stream,opts,callback){if(typeof opts===\\\"function\\\")return eos(stream,null,opts);if(!opts)opts={};callback=once(callback||noop);var readable=opts.readable||opts.readable!==!1&&stream.readable,writable=opts.writable||opts.writable!==!1&&stream.writable,onlegacyfinish=function(){if(!stream.writable)onfinish()},writableEnded=stream._writableState&&stream._writableState.finished,onfinish=function(){if(writable=!1,writableEnded=!0,!readable)callback.call(stream)},readableEnded=stream._readableState&&stream._readableState.endEmitted,onend=function(){if(readable=!1,readableEnded=!0,!writable)callback.call(stream)},onerror=function(err){callback.call(stream,err)},onclose=function(){var err;if(readable&&!readableEnded){if(!stream._readableState||!stream._readableState.ended)err=new ERR_STREAM_PREMATURE_CLOSE;return callback.call(stream,err)}if(writable&&!writableEnded){if(!stream._writableState||!stream._writableState.ended)err=new ERR_STREAM_PREMATURE_CLOSE;return callback.call(stream,err)}},onrequest=function(){stream.req.on(\\\"finish\\\",onfinish)};if(isRequest(stream))if(stream.on(\\\"complete\\\",onfinish),stream.on(\\\"abort\\\",onclose),stream.req)onrequest();else stream.on(\\\"request\\\",onrequest);else if(writable&&!stream._writableState)stream.on(\\\"end\\\",onlegacyfinish),stream.on(\\\"close\\\",onlegacyfinish);if(stream.on(\\\"end\\\",onend),stream.on(\\\"finish\\\",onfinish),opts.error!==!1)stream.on(\\\"error\\\",onerror);return stream.on(\\\"close\\\",onclose),function(){if(stream.removeListener(\\\"complete\\\",onfinish),stream.removeListener(\\\"abort\\\",onclose),stream.removeListener(\\\"request\\\",onrequest),stream.req)stream.req.removeListener(\\\"finish\\\",onfinish);stream.removeListener(\\\"end\\\",onlegacyfinish),stream.removeListener(\\\"close\\\",onlegacyfinish),stream.removeListener(\\\"finish\\\",onfinish),stream.removeListener(\\\"end\\\",onend),stream.removeListener(\\\"error\\\",onerror),stream.removeListener(\\\"close\\\",onclose)}}module.exports=eos});var require_async_iterator=__commonJS((exports,module)=>{var _Object$setPrototypeO;function _defineProperty(obj,key,value){if(key=_toPropertyKey(key),key in obj)Object.defineProperty(obj,key,{value,enumerable:!0,configurable:!0,writable:!0});else obj[key]=value;return obj}function _toPropertyKey(arg){var key=_toPrimitive(arg,\\\"string\\\");return typeof key===\\\"symbol\\\"?key:String(key)}function _toPrimitive(input,hint){if(typeof input!==\\\"object\\\"||input===null)return input;var prim=input[Symbol.toPrimitive];if(prim!==void 0){var res=prim.call(input,hint||\\\"default\\\");if(typeof res!==\\\"object\\\")return res;throw TypeError(\\\"@@toPrimitive must return a primitive value.\\\")}return(hint===\\\"string\\\"?String:Number)(input)}var finished=require_end_of_stream(),kLastResolve=Symbol(\\\"lastResolve\\\"),kLastReject=Symbol(\\\"lastReject\\\"),kError=Symbol(\\\"error\\\"),kEnded=Symbol(\\\"ended\\\"),kLastPromise=Symbol(\\\"lastPromise\\\"),kHandlePromise=Symbol(\\\"handlePromise\\\"),kStream=Symbol(\\\"stream\\\");function createIterResult(value,done){return{value,done}}function readAndResolve(iter){var resolve=iter[kLastResolve];if(resolve!==null){var data=iter[kStream].read();if(data!==null)iter[kLastPromise]=null,iter[kLastResolve]=null,iter[kLastReject]=null,resolve(createIterResult(data,!1))}}function onReadable(iter){process.nextTick(readAndResolve,iter)}function wrapForNext(lastPromise,iter){return function(resolve,reject){lastPromise.then(function(){if(iter[kEnded]){resolve(createIterResult(void 0,!0));return}iter[kHandlePromise](resolve,reject)},reject)}}var AsyncIteratorPrototype=Object.getPrototypeOf(function(){}),ReadableStreamAsyncIteratorPrototype=Object.setPrototypeOf((_Object$setPrototypeO={get stream(){return this[kStream]},next:function(){var _this=this,error=this[kError];if(error!==null)return Promise.reject(error);if(this[kEnded])return Promise.resolve(createIterResult(void 0,!0));if(this[kStream].destroyed)return new Promise(function(resolve,reject){process.nextTick(function(){if(_this[kError])reject(_this[kError]);else resolve(createIterResult(void 0,!0))})});var lastPromise=this[kLastPromise],promise;if(lastPromise)promise=new Promise(wrapForNext(lastPromise,this));else{var data=this[kStream].read();if(data!==null)return Promise.resolve(createIterResult(data,!1));promise=new Promise(this[kHandlePromise])}return this[kLastPromise]=promise,promise}},_defineProperty(_Object$setPrototypeO,Symbol.asyncIterator,function(){return this}),_defineProperty(_Object$setPrototypeO,\\\"return\\\",function(){var _this2=this;return new Promise(function(resolve,reject){_this2[kStream].destroy(null,function(err){if(err){reject(err);return}resolve(createIterResult(void 0,!0))})})}),_Object$setPrototypeO),AsyncIteratorPrototype),createReadableStreamAsyncIterator=function(stream){var _Object$create,iterator=Object.create(ReadableStreamAsyncIteratorPrototype,(_Object$create={},_defineProperty(_Object$create,kStream,{value:stream,writable:!0}),_defineProperty(_Object$create,kLastResolve,{value:null,writable:!0}),_defineProperty(_Object$create,kLastReject,{value:null,writable:!0}),_defineProperty(_Object$create,kError,{value:null,writable:!0}),_defineProperty(_Object$create,kEnded,{value:stream._readableState.endEmitted,writable:!0}),_defineProperty(_Object$create,kHandlePromise,{value:function(resolve,reject){var data=iterator[kStream].read();if(data)iterator[kLastPromise]=null,iterator[kLastResolve]=null,iterator[kLastReject]=null,resolve(createIterResult(data,!1));else iterator[kLastResolve]=resolve,iterator[kLastReject]=reject},writable:!0}),_Object$create));return iterator[kLastPromise]=null,finished(stream,function(err){if(err&&err.code!==\\\"ERR_STREAM_PREMATURE_CLOSE\\\"){var reject=iterator[kLastReject];if(reject!==null)iterator[kLastPromise]=null,iterator[kLastResolve]=null,iterator[kLastReject]=null,reject(err);iterator[kError]=err;return}var resolve=iterator[kLastResolve];if(resolve!==null)iterator[kLastPromise]=null,iterator[kLastResolve]=null,iterator[kLastReject]=null,resolve(createIterResult(void 0,!0));iterator[kEnded]=!0}),stream.on(\\\"readable\\\",onReadable.bind(null,iterator)),iterator};module.exports=createReadableStreamAsyncIterator});var require_from=__commonJS((exports,module)=>{function asyncGeneratorStep(gen,resolve,reject,_next,_throw,key,arg){try{var info=gen[key](arg),value=info.value}catch(error){reject(error);return}if(info.done)resolve(value);else Promise.resolve(value).then(_next,_throw)}function _asyncToGenerator(fn){return function(){var self2=this,args=arguments;return new Promise(function(resolve,reject){var gen=fn.apply(self2,args);function _next(value){asyncGeneratorStep(gen,resolve,reject,_next,_throw,\\\"next\\\",value)}function _throw(err){asyncGeneratorStep(gen,resolve,reject,_next,_throw,\\\"throw\\\",err)}_next(void 0)})}}function ownKeys(object,enumerableOnly){var keys=Object.keys(object);if(Object.getOwnPropertySymbols){var symbols=Object.getOwnPropertySymbols(object);enumerableOnly&&(symbols=symbols.filter(function(sym){return Object.getOwnPropertyDescriptor(object,sym).enumerable})),keys.push.apply(keys,symbols)}return keys}function _objectSpread(target){for(var i=1;i<arguments.length;i++){var source=arguments[i]!=null?arguments[i]:{};i%2?ownKeys(Object(source),!0).forEach(function(key){_defineProperty(target,key,source[key])}):Object.getOwnPropertyDescriptors?Object.defineProperties(target,Object.getOwnPropertyDescriptors(source)):ownKeys(Object(source)).forEach(function(key){Object.defineProperty(target,key,Object.getOwnPropertyDescriptor(source,key))})}return target}function _defineProperty(obj,key,value){if(key=_toPropertyKey(key),key in obj)Object.defineProperty(obj,key,{value,enumerable:!0,configurable:!0,writable:!0});else obj[key]=value;return obj}function _toPropertyKey(arg){var key=_toPrimitive(arg,\\\"string\\\");return typeof key===\\\"symbol\\\"?key:String(key)}function _toPrimitive(input,hint){if(typeof input!==\\\"object\\\"||input===null)return input;var prim=input[Symbol.toPrimitive];if(prim!==void 0){var res=prim.call(input,hint||\\\"default\\\");if(typeof res!==\\\"object\\\")return res;throw TypeError(\\\"@@toPrimitive must return a primitive value.\\\")}return(hint===\\\"string\\\"?String:Number)(input)}var ERR_INVALID_ARG_TYPE=require_errors().codes.ERR_INVALID_ARG_TYPE;function from(Readable,iterable,opts){var iterator;if(iterable&&typeof iterable.next===\\\"function\\\")iterator=iterable;else if(iterable&&iterable[Symbol.asyncIterator])iterator=iterable[Symbol.asyncIterator]();else if(iterable&&iterable[Symbol.iterator])iterator=iterable[Symbol.iterator]();else throw new ERR_INVALID_ARG_TYPE(\\\"iterable\\\",[\\\"Iterable\\\"],iterable);var readable=new Readable(_objectSpread({objectMode:!0},opts)),reading=!1;readable._read=function(){if(!reading)reading=!0,next()};function next(){return _next2.apply(this,arguments)}function _next2(){return _next2=_asyncToGenerator(function*(){try{var _yield$iterator$next=yield iterator.next(),value=_yield$iterator$next.value,done=_yield$iterator$next.done;if(done)readable.push(null);else if(readable.push(yield value))next();else reading=!1}catch(err){readable.destroy(err)}}),_next2.apply(this,arguments)}return readable}module.exports=from});var require__stream_readable=__commonJS((exports,module)=>{module.exports=Readable;var Duplex;Readable.ReadableState=ReadableState;var EE=require(\\\"events\\\").EventEmitter,EElistenerCount=function(emitter,type){return emitter.listeners(type).length},Stream=require(\\\"stream\\\"),Buffer2=require(\\\"buffer\\\").Buffer,OurUint8Array=(typeof globalThis<\\\"u\\\"?globalThis:typeof window<\\\"u\\\"?window:typeof self<\\\"u\\\"?self:{}).Uint8Array||function(){};function _uint8ArrayToBuffer(chunk){return Buffer2.from(chunk)}function _isUint8Array(obj){return Buffer2.isBuffer(obj)||obj instanceof OurUint8Array}var debugUtil=require(\\\"util\\\"),debug;if(debugUtil&&debugUtil.debuglog)debug=debugUtil.debuglog(\\\"stream\\\");else debug=function(){};var BufferList=require_buffer_list(),destroyImpl=require_destroy(),_require=require_state(),getHighWaterMark=_require.getHighWaterMark,_require$codes=require_errors().codes,ERR_INVALID_ARG_TYPE=_require$codes.ERR_INVALID_ARG_TYPE,ERR_STREAM_PUSH_AFTER_EOF=_require$codes.ERR_STREAM_PUSH_AFTER_EOF,ERR_METHOD_NOT_IMPLEMENTED=_require$codes.ERR_METHOD_NOT_IMPLEMENTED,ERR_STREAM_UNSHIFT_AFTER_END_EVENT=_require$codes.ERR_STREAM_UNSHIFT_AFTER_END_EVENT,StringDecoder,createReadableStreamAsyncIterator,from;require_inherits()(Readable,Stream);var errorOrDestroy=destroyImpl.errorOrDestroy,kProxyEvents=[\\\"error\\\",\\\"close\\\",\\\"destroy\\\",\\\"pause\\\",\\\"resume\\\"];function prependListener(emitter,event,fn){if(typeof emitter.prependListener===\\\"function\\\")return emitter.prependListener(event,fn);if(!emitter._events||!emitter._events[event])emitter.on(event,fn);else if(Array.isArray(emitter._events[event]))emitter._events[event].unshift(fn);else emitter._events[event]=[fn,emitter._events[event]]}function ReadableState(options,stream,isDuplex){if(Duplex=Duplex||require__stream_duplex(),options=options||{},typeof isDuplex!==\\\"boolean\\\")isDuplex=stream instanceof Duplex;if(this.objectMode=!!options.objectMode,isDuplex)this.objectMode=this.objectMode||!!options.readableObjectMode;if(this.highWaterMark=getHighWaterMark(this,options,\\\"readableHighWaterMark\\\",isDuplex),this.buffer=new BufferList,this.length=0,this.pipes=null,this.pipesCount=0,this.flowing=null,this.ended=!1,this.endEmitted=!1,this.reading=!1,this.sync=!0,this.needReadable=!1,this.emittedReadable=!1,this.readableListening=!1,this.resumeScheduled=!1,this.paused=!0,this.emitClose=options.emitClose!==!1,this.autoDestroy=!!options.autoDestroy,this.destroyed=!1,this.defaultEncoding=options.defaultEncoding||\\\"utf8\\\",this.awaitDrain=0,this.readingMore=!1,this.decoder=null,this.encoding=null,options.encoding){if(!StringDecoder)StringDecoder=require_string_decoder().StringDecoder;this.decoder=new StringDecoder(options.encoding),this.encoding=options.encoding}}function Readable(options){if(Duplex=Duplex||require__stream_duplex(),!(this instanceof Readable))return new Readable(options);var isDuplex=this instanceof Duplex;if(this._readableState=new ReadableState(options,this,isDuplex),this.readable=!0,options){if(typeof options.read===\\\"function\\\")this._read=options.read;if(typeof options.destroy===\\\"function\\\")this._destroy=options.destroy}Stream.call(this)}Object.defineProperty(Readable.prototype,\\\"destroyed\\\",{enumerable:!1,get:function(){if(this._readableState===void 0)return!1;return this._readableState.destroyed},set:function(value){if(!this._readableState)return;this._readableState.destroyed=value}});Readable.prototype.destroy=destroyImpl.destroy;Readable.prototype._undestroy=destroyImpl.undestroy;Readable.prototype._destroy=function(err,cb){cb(err)};Readable.prototype.push=function(chunk,encoding){var state=this._readableState,skipChunkCheck;if(!state.objectMode){if(typeof chunk===\\\"string\\\"){if(encoding=encoding||state.defaultEncoding,encoding!==state.encoding)chunk=Buffer2.from(chunk,encoding),encoding=\\\"\\\";skipChunkCheck=!0}}else skipChunkCheck=!0;return readableAddChunk(this,chunk,encoding,!1,skipChunkCheck)};Readable.prototype.unshift=function(chunk){return readableAddChunk(this,chunk,null,!0,!1)};function readableAddChunk(stream,chunk,encoding,addToFront,skipChunkCheck){debug(\\\"readableAddChunk\\\",chunk);var state=stream._readableState;if(chunk===null)state.reading=!1,onEofChunk(stream,state);else{var er;if(!skipChunkCheck)er=chunkInvalid(state,chunk);if(er)errorOrDestroy(stream,er);else if(state.objectMode||chunk&&chunk.length>0){if(typeof chunk!==\\\"string\\\"&&!state.objectMode&&Object.getPrototypeOf(chunk)!==Buffer2.prototype)chunk=_uint8ArrayToBuffer(chunk);if(addToFront)if(state.endEmitted)errorOrDestroy(stream,new ERR_STREAM_UNSHIFT_AFTER_END_EVENT);else addChunk(stream,state,chunk,!0);else if(state.ended)errorOrDestroy(stream,new ERR_STREAM_PUSH_AFTER_EOF);else if(state.destroyed)return!1;else if(state.reading=!1,state.decoder&&!encoding)if(chunk=state.decoder.write(chunk),state.objectMode||chunk.length!==0)addChunk(stream,state,chunk,!1);else maybeReadMore(stream,state);else addChunk(stream,state,chunk,!1)}else if(!addToFront)state.reading=!1,maybeReadMore(stream,state)}return!state.ended&&(state.length<state.highWaterMark||state.length===0)}function addChunk(stream,state,chunk,addToFront){if(state.flowing&&state.length===0&&!state.sync)state.awaitDrain=0,stream.emit(\\\"data\\\",chunk);else{if(state.length+=state.objectMode?1:chunk.length,addToFront)state.buffer.unshift(chunk);else state.buffer.push(chunk);if(state.needReadable)emitReadable(stream)}maybeReadMore(stream,state)}function chunkInvalid(state,chunk){var er;if(!_isUint8Array(chunk)&&typeof chunk!==\\\"string\\\"&&chunk!==void 0&&!state.objectMode)er=new ERR_INVALID_ARG_TYPE(\\\"chunk\\\",[\\\"string\\\",\\\"Buffer\\\",\\\"Uint8Array\\\"],chunk);return er}Readable.prototype.isPaused=function(){return this._readableState.flowing===!1};Readable.prototype.setEncoding=function(enc){if(!StringDecoder)StringDecoder=require_string_decoder().StringDecoder;var decoder=new StringDecoder(enc);this._readableState.decoder=decoder,this._readableState.encoding=this._readableState.decoder.encoding;var p=this._readableState.buffer.head,content=\\\"\\\";while(p!==null)content+=decoder.write(p.data),p=p.next;if(this._readableState.buffer.clear(),content!==\\\"\\\")this._readableState.buffer.push(content);return this._readableState.length=content.length,this};var MAX_HWM=1073741824;function computeNewHighWaterMark(n){if(n>=MAX_HWM)n=MAX_HWM;else n--,n|=n>>>1,n|=n>>>2,n|=n>>>4,n|=n>>>8,n|=n>>>16,n++;return n}function howMuchToRead(n,state){if(n<=0||state.length===0&&state.ended)return 0;if(state.objectMode)return 1;if(n!==n)if(state.flowing&&state.length)return state.buffer.head.data.length;else return state.length;if(n>state.highWaterMark)state.highWaterMark=computeNewHighWaterMark(n);if(n<=state.length)return n;if(!state.ended)return state.needReadable=!0,0;return state.length}Readable.prototype.read=function(n){debug(\\\"read\\\",n),n=parseInt(n,10);var state=this._readableState,nOrig=n;if(n!==0)state.emittedReadable=!1;if(n===0&&state.needReadable&&((state.highWaterMark!==0?state.length>=state.highWaterMark:state.length>0)||state.ended)){if(debug(\\\"read: emitReadable\\\",state.length,state.ended),state.length===0&&state.ended)endReadable(this);else emitReadable(this);return null}if(n=howMuchToRead(n,state),n===0&&state.ended){if(state.length===0)endReadable(this);return null}var doRead=state.needReadable;if(debug(\\\"need readable\\\",doRead),state.length===0||state.length-n<state.highWaterMark)doRead=!0,debug(\\\"length less than watermark\\\",doRead);if(state.ended||state.reading)doRead=!1,debug(\\\"reading or ended\\\",doRead);else if(doRead){if(debug(\\\"do read\\\"),state.reading=!0,state.sync=!0,state.length===0)state.needReadable=!0;if(this._read(state.highWaterMark),state.sync=!1,!state.reading)n=howMuchToRead(nOrig,state)}var ret;if(n>0)ret=fromList(n,state);else ret=null;if(ret===null)state.needReadable=state.length<=state.highWaterMark,n=0;else state.length-=n,state.awaitDrain=0;if(state.length===0){if(!state.ended)state.needReadable=!0;if(nOrig!==n&&state.ended)endReadable(this)}if(ret!==null)this.emit(\\\"data\\\",ret);return ret};function onEofChunk(stream,state){if(debug(\\\"onEofChunk\\\"),state.ended)return;if(state.decoder){var chunk=state.decoder.end();if(chunk&&chunk.length)state.buffer.push(chunk),state.length+=state.objectMode?1:chunk.length}if(state.ended=!0,state.sync)emitReadable(stream);else if(state.needReadable=!1,!state.emittedReadable)state.emittedReadable=!0,emitReadable_(stream)}function emitReadable(stream){var state=stream._readableState;if(debug(\\\"emitReadable\\\",state.needReadable,state.emittedReadable),state.needReadable=!1,!state.emittedReadable)debug(\\\"emitReadable\\\",state.flowing),state.emittedReadable=!0,process.nextTick(emitReadable_,stream)}function emitReadable_(stream){var state=stream._readableState;if(debug(\\\"emitReadable_\\\",state.destroyed,state.length,state.ended),!state.destroyed&&(state.length||state.ended))stream.emit(\\\"readable\\\"),state.emittedReadable=!1;state.needReadable=!state.flowing&&!state.ended&&state.length<=state.highWaterMark,flow(stream)}function maybeReadMore(stream,state){if(!state.readingMore)state.readingMore=!0,process.nextTick(maybeReadMore_,stream,state)}function maybeReadMore_(stream,state){while(!state.reading&&!\\n\\n... [OUTPUT TRUNCATED - 138398 chars omitted out of 188398 total] ...\\n\\nr r=a.cmp(b);if(r<0){var t=a;a=b,b=t}else if(r===0||b.cmpn(1)===0)break;a.isub(b)}while(!0);return b.iushln(shift)},BN.prototype.invm=function(num){return this.egcd(num).a.umod(num)},BN.prototype.isEven=function(){return(this.words[0]&1)===0},BN.prototype.isOdd=function(){return(this.words[0]&1)===1},BN.prototype.andln=function(num){return this.words[0]&num},BN.prototype.bincn=function(bit){assert(typeof bit===\\\"number\\\");var r=bit%26,s=(bit-r)/26,q=1<<r;if(this.length<=s)return this._expand(s+1),this.words[s]|=q,this;var carry=q;for(var i=s;carry!==0&&i<this.length;i++){var w=this.words[i]|0;w+=carry,carry=w>>>26,w&=67108863,this.words[i]=w}if(carry!==0)this.words[i]=carry,this.length++;return this},BN.prototype.isZero=function(){return this.length===1&&this.words[0]===0},BN.prototype.cmpn=function(num){var negative=num<0;if(this.negative!==0&&!negative)return-1;if(this.negative===0&&negative)return 1;this._strip();var res;if(this.length>1)res=1;else{if(negative)num=-num;assert(num<=67108863,\\\"Number is too big\\\");var w=this.words[0]|0;res=w===num?0:w<num?-1:1}if(this.negative!==0)return-res|0;return res},BN.prototype.cmp=function(num){if(this.negative!==0&&num.negative===0)return-1;if(this.negative===0&&num.negative!==0)return 1;var res=this.ucmp(num);if(this.negative!==0)return-res|0;return res},BN.prototype.ucmp=function(num){if(this.length>num.length)return 1;if(this.length<num.length)return-1;var res=0;for(var i=this.length-1;i>=0;i--){var a=this.words[i]|0,b=num.words[i]|0;if(a===b)continue;if(a<b)res=-1;else if(a>b)res=1;break}return res},BN.prototype.gtn=function(num){return this.cmpn(num)===1},BN.prototype.gt=function(num){return this.cmp(num)===1},BN.prototype.gten=function(num){return this.cmpn(num)>=0},BN.prototype.gte=function(num){return this.cmp(num)>=0},BN.prototype.ltn=function(num){return this.cmpn(num)===-1},BN.prototype.lt=function(num){return this.cmp(num)===-1},BN.prototype.lten=function(num){return this.cmpn(num)<=0},BN.prototype.lte=function(num){return this.cmp(num)<=0},BN.prototype.eqn=function(num){return this.cmpn(num)===0},BN.prototype.eq=function(num){return this.cmp(num)===0},BN.red=function(num){return new Red(num)},BN.prototype.toRed=function(ctx){return assert(!this.red,\\\"Already a number in reduction context\\\"),assert(this.negative===0,\\\"red works only with positives\\\"),ctx.convertTo(this)._forceRed(ctx)},BN.prototype.fromRed=function(){return assert(this.red,\\\"fromRed works only with numbers in reduction context\\\"),this.red.convertFrom(this)},BN.prototype._forceRed=function(ctx){return this.red=ctx,this},BN.prototype.forceRed=function(ctx){return assert(!this.red,\\\"Already a number in reduction context\\\"),this._forceRed(ctx)},BN.prototype.redAdd=function(num){return assert(this.red,\\\"redAdd works only with red numbers\\\"),this.red.add(this,num)},BN.prototype.redIAdd=function(num){return assert(this.red,\\\"redIAdd works only with red numbers\\\"),this.red.iadd(this,num)},BN.prototype.redSub=function(num){return assert(this.red,\\\"redSub works only with red numbers\\\"),this.red.sub(this,num)},BN.prototype.redISub=function(num){return assert(this.red,\\\"redISub works only with red numbers\\\"),this.red.isub(this,num)},BN.prototype.redShl=function(num){return assert(this.red,\\\"redShl works only with red numbers\\\"),this.red.shl(this,num)},BN.prototype.redMul=function(num){return assert(this.red,\\\"redMul works only with red numbers\\\"),this.red._verify2(this,num),this.red.mul(this,num)},BN.prototype.redIMul=function(num){return assert(this.red,\\\"redMul works only with red numbers\\\"),this.red._verify2(this,num),this.red.imul(this,num)},BN.prototype.redSqr=function(){return assert(this.red,\\\"redSqr works only with red numbers\\\"),this.red._verify1(this),this.red.sqr(this)},BN.prototype.redISqr=function(){return assert(this.red,\\\"redISqr works only with red numbers\\\"),this.red._verify1(this),this.red.isqr(this)},BN.prototype.redSqrt=function(){return assert(this.red,\\\"redSqrt works only with red numbers\\\"),this.red._verify1(this),this.red.sqrt(this)},BN.prototype.redInvm=function(){return assert(this.red,\\\"redInvm works only with red numbers\\\"),this.red._verify1(this),this.red.invm(this)},BN.prototype.redNeg=function(){return assert(this.red,\\\"redNeg works only with red numbers\\\"),this.red._verify1(this),this.red.neg(this)},BN.prototype.redPow=function(num){return assert(this.red&&!num.red,\\\"redPow(normalNum)\\\"),this.red._verify1(this),this.red.pow(this,num)};var primes={k256:null,p224:null,p192:null,p25519:null};function MPrime(name,p){this.name=name,this.p=new BN(p,16),this.n=this.p.bitLength(),this.k=new BN(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}MPrime.prototype._tmp=function(){var tmp=new BN(null);return tmp.words=Array(Math.ceil(this.n/13)),tmp},MPrime.prototype.ireduce=function(num){var r=num,rlen;do this.split(r,this.tmp),r=this.imulK(r),r=r.iadd(this.tmp),rlen=r.bitLength();while(rlen>this.n);var cmp=rlen<this.n?-1:r.ucmp(this.p);if(cmp===0)r.words[0]=0,r.length=1;else if(cmp>0)r.isub(this.p);else if(r.strip!==void 0)r.strip();else r._strip();return r},MPrime.prototype.split=function(input,out){input.iushrn(this.n,0,out)},MPrime.prototype.imulK=function(num){return num.imul(this.k)};function K256(){MPrime.call(this,\\\"k256\\\",\\\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\\\")}inherits(K256,MPrime),K256.prototype.split=function(input,output){var mask=4194303,outLen=Math.min(input.length,9);for(var i=0;i<outLen;i++)output.words[i]=input.words[i];if(output.length=outLen,input.length<=9){input.words[0]=0,input.length=1;return}var prev=input.words[9];output.words[output.length++]=prev&mask;for(i=10;i<input.length;i++){var next=input.words[i]|0;input.words[i-10]=(next&mask)<<4|prev>>>22,prev=next}if(prev>>>=22,input.words[i-10]=prev,prev===0&&input.length>10)input.length-=10;else input.length-=9},K256.prototype.imulK=function(num){num.words[num.length]=0,num.words[num.length+1]=0,num.length+=2;var lo=0;for(var i=0;i<num.length;i++){var w=num.words[i]|0;lo+=w*977,num.words[i]=lo&67108863,lo=w*64+(lo/67108864|0)}if(num.words[num.length-1]===0){if(num.length--,num.words[num.length-1]===0)num.length--}return num};function P224(){MPrime.call(this,\\\"p224\\\",\\\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\\\")}inherits(P224,MPrime);function P192(){MPrime.call(this,\\\"p192\\\",\\\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\\\")}inherits(P192,MPrime);function P25519(){MPrime.call(this,\\\"25519\\\",\\\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\\\")}inherits(P25519,MPrime),P25519.prototype.imulK=function(num){var carry=0;for(var i=0;i<num.length;i++){var hi=(num.words[i]|0)*19+carry,lo=hi&67108863;hi>>>=26,num.words[i]=lo,carry=hi}if(carry!==0)num.words[num.length++]=carry;return num},BN._prime=function(name){if(primes[name])return primes[name];var prime2;if(name===\\\"k256\\\")prime2=new K256;else if(name===\\\"p224\\\")prime2=new P224;else if(name===\\\"p192\\\")prime2=new P192;else if(name===\\\"p25519\\\")prime2=new P25519;else throw Error(\\\"Unknown prime \\\"+name);return primes[name]=prime2,prime2};function Red(m){if(typeof m===\\\"string\\\"){var prime=BN._prime(m);this.m=prime.p,this.prime=prime}else assert(m.gtn(1),\\\"modulus must be greater than 1\\\"),this.m=m,this.prime=null}Red.prototype._verify1=function(a){assert(a.negative===0,\\\"red works only with positives\\\"),assert(a.red,\\\"red works only with red numbers\\\")},Red.prototype._verify2=function(a,b){assert((a.negative|b.negative)===0,\\\"red works only with positives\\\"),assert(a.red&&a.red===b.red,\\\"red works only with red numbers\\\")},Red.prototype.imod=function(a){if(this.prime)return this.prime.ireduce(a)._forceRed(this);return move(a,a.umod(this.m)._forceRed(this)),a},Red.prototype.neg=function(a){if(a.isZero())return a.clone();return this.m.sub(a)._forceRed(this)},Red.prototype.add=function(a,b){this._verify2(a,b);var res=a.add(b);if(res.cmp(this.m)>=0)res.isub(this.m);return res._forceRed(this)},Red.prototype.iadd=function(a,b){this._verify2(a,b);var res=a.iadd(b);if(res.cmp(this.m)>=0)res.isub(this.m);return res},Red.prototype.sub=function(a,b){this._verify2(a,b);var res=a.sub(b);if(res.cmpn(0)<0)res.iadd(this.m);return res._forceRed(this)},Red.prototype.isub=function(a,b){this._verify2(a,b);var res=a.isub(b);if(res.cmpn(0)<0)res.iadd(this.m);return res},Red.prototype.shl=function(a,num){return this._verify1(a),this.imod(a.ushln(num))},Red.prototype.imul=function(a,b){return this._verify2(a,b),this.imod(a.imul(b))},Red.prototype.mul=function(a,b){return this._verify2(a,b),this.imod(a.mul(b))},Red.prototype.isqr=function(a){return this.imul(a,a.clone())},Red.prototype.sqr=function(a){return this.mul(a,a)},Red.prototype.sqrt=function(a){if(a.isZero())return a.clone();var mod3=this.m.andln(3);if(assert(mod3%2===1),mod3===3){var pow=this.m.add(new BN(1)).iushrn(2);return this.pow(a,pow)}var q=this.m.subn(1),s=0;while(!q.isZero()&&q.andln(1)===0)s++,q.iushrn(1);assert(!q.isZero());var one=new BN(1).toRed(this),nOne=one.redNeg(),lpow=this.m.subn(1).iushrn(1),z=this.m.bitLength();z=new BN(2*z*z).toRed(this);while(this.pow(z,lpow).cmp(nOne)!==0)z.redIAdd(nOne);var c=this.pow(z,q),r=this.pow(a,q.addn(1).iushrn(1)),t=this.pow(a,q),m=s;while(t.cmp(one)!==0){var tmp=t;for(var i=0;tmp.cmp(one)!==0;i++)tmp=tmp.redSqr();assert(i<m);var b=this.pow(c,new BN(1).iushln(m-i-1));r=r.redMul(b),c=b.redSqr(),t=t.redMul(c),m=i}return r},Red.prototype.invm=function(a){var inv=a._invmp(this.m);if(inv.negative!==0)return inv.negative=0,this.imod(inv).redNeg();else return this.imod(inv)},Red.prototype.pow=function(a,num){if(num.isZero())return new BN(1).toRed(this);if(num.cmpn(1)===0)return a.clone();var windowSize=4,wnd=Array(1<<windowSize);wnd[0]=new BN(1).toRed(this),wnd[1]=a;for(var i=2;i<wnd.length;i++)wnd[i]=this.mul(wnd[i-1],a);var res=wnd[0],current=0,currentLen=0,start=num.bitLength()%26;if(start===0)start=26;for(i=num.length-1;i>=0;i--){var word=num.words[i];for(var j=start-1;j>=0;j--){var bit=word>>j&1;if(res!==wnd[0])res=this.sqr(res);if(bit===0&&current===0){currentLen=0;continue}if(current<<=1,current|=bit,currentLen++,currentLen!==windowSize&&(i!==0||j!==0))continue;res=this.mul(res,wnd[current]),currentLen=0,current=0}start=26}return res},Red.prototype.convertTo=function(num){var r=num.umod(this.m);return r===num?r.clone():r},Red.prototype.convertFrom=function(num){var res=num.clone();return res.red=null,res},BN.mont=function(num){return new Mont(num)};function Mont(m){if(Red.call(this,m),this.shift=this.m.bitLength(),this.shift%26!==0)this.shift+=26-this.shift%26;this.r=new BN(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}inherits(Mont,Red),Mont.prototype.convertTo=function(num){return this.imod(num.ushln(this.shift))},Mont.prototype.convertFrom=function(num){var r=this.imod(num.mul(this.rinv));return r.red=null,r},Mont.prototype.imul=function(a,b){if(a.isZero()||b.isZero())return a.words[0]=0,a.length=1,a;var t=a.imul(b),c=t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),u=t.isub(c).iushrn(this.shift),res=u;if(u.cmp(this.m)>=0)res=u.isub(this.m);else if(u.cmpn(0)<0)res=u.iadd(this.m);return res._forceRed(this)},Mont.prototype.mul=function(a,b){if(a.isZero()||b.isZero())return new BN(0)._forceRed(this);var t=a.mul(b),c=t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),u=t.isub(c).iushrn(this.shift),res=u;if(u.cmp(this.m)>=0)res=u.isub(this.m);else if(u.cmpn(0)<0)res=u.iadd(this.m);return res._forceRed(this)},Mont.prototype.invm=function(a){var res=this.imod(a._invmp(this.m).mul(this.r2));return res._forceRed(this)}})(typeof module>\\\"u\\\"||module,exports)});var require_browserify_rsa=__commonJS((exports,module)=>{var BN=require_bn5(),randomBytes=require_randombytes(),Buffer2=require_safe_buffer().Buffer;function getr(priv){var len=priv.modulus.byteLength(),r;do r=new BN(randomBytes(len));while(r.cmp(priv.modulus)>=0||!r.umod(priv.prime1)||!r.umod(priv.prime2));return r}function blind(priv){var r=getr(priv),blinder=r.toRed(BN.mont(priv.modulus)).redPow(new BN(priv.publicExponent)).fromRed();return{blinder,unblinder:r.invm(priv.modulus)}}function crt(msg,priv){var blinds=blind(priv),len=priv.modulus.byteLength(),blinded=new BN(msg).mul(blinds.blinder).umod(priv.modulus),c1=blinded.toRed(BN.mont(priv.prime1)),c2=blinded.toRed(BN.mont(priv.prime2)),qinv=priv.coefficient,p=priv.prime1,q=priv.prime2,m1=c1.redPow(priv.exponent1).fromRed(),m2=c2.redPow(priv.exponent2).fromRed(),h=m1.isub(m2).imul(qinv).umod(p).imul(q);return m2.iadd(h).imul(blinds.unblinder).umod(priv.modulus).toArrayLike(Buffer2,\\\"be\\\",len)}crt.getr=getr;module.exports=crt});var require_publicEncrypt=__commonJS((exports,module)=>{var parseKeys=require_parse_asn1(),randomBytes=require_randombytes(),createHash=require_create_hash(),mgf=require_mgf(),xor=require_xor(),BN=require_bn4(),withPublic=require_withPublic(),crt=require_browserify_rsa(),Buffer2=require_safe_buffer().Buffer;module.exports=function(publicKey,msg,reverse){var padding;if(publicKey.padding)padding=publicKey.padding;else if(reverse)padding=1;else padding=4;var key=parseKeys(publicKey),paddedMsg;if(padding===4)paddedMsg=oaep(key,msg);else if(padding===1)paddedMsg=pkcs1(key,msg,reverse);else if(padding===3){if(paddedMsg=new BN(msg),paddedMsg.cmp(key.modulus)>=0)throw Error(\\\"data too long for modulus\\\")}else throw Error(\\\"unknown padding\\\");if(reverse)return crt(paddedMsg,key);else return withPublic(paddedMsg,key)};function oaep(key,msg){var k=key.modulus.byteLength(),mLen=msg.length,iHash=createHash(\\\"sha1\\\").update(Buffer2.alloc(0)).digest(),hLen=iHash.length,hLen2=2*hLen;if(mLen>k-hLen2-2)throw Error(\\\"message too long\\\");var ps=Buffer2.alloc(k-mLen-hLen2-2),dblen=k-hLen-1,seed=randomBytes(hLen),maskedDb=xor(Buffer2.concat([iHash,ps,Buffer2.alloc(1,1),msg],dblen),mgf(seed,dblen)),maskedSeed=xor(seed,mgf(maskedDb,hLen));return new BN(Buffer2.concat([Buffer2.alloc(1),maskedSeed,maskedDb],k))}function pkcs1(key,msg,reverse){var mLen=msg.length,k=key.modulus.byteLength();if(mLen>k-11)throw Error(\\\"message too long\\\");var ps;if(reverse)ps=Buffer2.alloc(k-mLen-3,255);else ps=nonZero(k-mLen-3);return new BN(Buffer2.concat([Buffer2.from([0,reverse?1:2]),ps,Buffer2.alloc(1),msg],k))}function nonZero(len){var out=Buffer2.allocUnsafe(len),i=0,cache=randomBytes(len*2),cur=0,num;while(i<len){if(cur===cache.length)cache=randomBytes(len*2),cur=0;if(num=cache[cur++],num)out[i++]=num}return out}});var require_privateDecrypt=__commonJS((exports,module)=>{var parseKeys=require_parse_asn1(),mgf=require_mgf(),xor=require_xor(),BN=require_bn4(),crt=require_browserify_rsa(),createHash=require_create_hash(),withPublic=require_withPublic(),Buffer2=require_safe_buffer().Buffer;module.exports=function(privateKey,enc,reverse){var padding;if(privateKey.padding)padding=privateKey.padding;else if(reverse)padding=1;else padding=4;var key=parseKeys(privateKey),k=key.modulus.byteLength();if(enc.length>k||new BN(enc).cmp(key.modulus)>=0)throw Error(\\\"decryption error\\\");var msg;if(reverse)msg=withPublic(new BN(enc),key);else msg=crt(enc,key);var zBuffer=Buffer2.alloc(k-msg.length);if(msg=Buffer2.concat([zBuffer,msg],k),padding===4)return oaep(key,msg);else if(padding===1)return pkcs1(key,msg,reverse);else if(padding===3)return msg;else throw Error(\\\"unknown padding\\\")};function oaep(key,msg){var k=key.modulus.byteLength(),iHash=createHash(\\\"sha1\\\").update(Buffer2.alloc(0)).digest(),hLen=iHash.length;if(msg[0]!==0)throw Error(\\\"decryption error\\\");var maskedSeed=msg.slice(1,hLen+1),maskedDb=msg.slice(hLen+1),seed=xor(maskedSeed,mgf(maskedDb,hLen)),db=xor(maskedDb,mgf(seed,k-hLen-1));if(compare(iHash,db.slice(0,hLen)))throw Error(\\\"decryption error\\\");var i=hLen;while(db[i]===0)i++;if(db[i++]!==1)throw Error(\\\"decryption error\\\");return db.slice(i)}function pkcs1(key,msg,reverse){var p1=msg.slice(0,2),i=2,status=0;while(msg[i++]!==0)if(i>=msg.length){status++;break}var ps=msg.slice(2,i-1);if(p1.toString(\\\"hex\\\")!==\\\"0002\\\"&&!reverse||p1.toString(\\\"hex\\\")!==\\\"0001\\\"&&reverse)status++;if(ps.length<8)status++;if(status)throw Error(\\\"decryption error\\\");return msg.slice(i)}function compare(a,b){a=Buffer2.from(a),b=Buffer2.from(b);var dif=0,len=a.length;if(a.length!==b.length)dif++,len=Math.min(a.length,b.length);var i=-1;while(++i<len)dif+=a[i]^b[i];return dif}});var require_browser2=__commonJS((exports)=>{exports.publicEncrypt=require_publicEncrypt();exports.privateDecrypt=require_privateDecrypt();exports.privateEncrypt=function(key,buf){return exports.publicEncrypt(key,buf,!0)};exports.publicDecrypt=function(key,buf){return exports.privateDecrypt(key,buf,!0)}});var require_public_encrypt=__commonJS((exports)=>{var crypto2=require(\\\"crypto\\\");if(typeof crypto2.publicEncrypt!==\\\"function\\\")crypto2=require_browser2();exports.publicEncrypt=crypto2.publicEncrypt;exports.privateDecrypt=crypto2.privateDecrypt;if(typeof crypto2.privateEncrypt!==\\\"function\\\")exports.privateEncrypt=require_browser2().privateEncrypt;else exports.privateEncrypt=crypto2.privateEncrypt;if(typeof crypto2.publicDecrypt!==\\\"function\\\")exports.publicDecrypt=require_browser2().publicDecrypt;else exports.publicDecrypt=crypto2.publicDecrypt});var require_browser3=__commonJS((exports)=>{var safeBuffer=require_safe_buffer(),randombytes=require_randombytes(),Buffer2=safeBuffer.Buffer,kBufferMaxLength=safeBuffer.kMaxLength,crypto2=globalThis.crypto||globalThis.msCrypto,kMaxUint32=Math.pow(2,32)-1;function assertOffset(offset,length){if(typeof offset!==\\\"number\\\"||offset!==offset)throw TypeError(\\\"offset must be a number\\\");if(offset>kMaxUint32||offset<0)throw TypeError(\\\"offset must be a uint32\\\");if(offset>kBufferMaxLength||offset>length)throw RangeError(\\\"offset out of range\\\")}function assertSize(size,offset,length){if(typeof size!==\\\"number\\\"||size!==size)throw TypeError(\\\"size must be a number\\\");if(size>kMaxUint32||size<0)throw TypeError(\\\"size must be a uint32\\\");if(size+offset>length||size>kBufferMaxLength)throw RangeError(\\\"buffer too small\\\")}crypto2&&crypto2.getRandomValues,exports.randomFill=randomFill,exports.randomFillSync=randomFillSync;function randomFill(buf,offset,size,cb){if(!Buffer2.isBuffer(buf)&&!(buf instanceof globalThis.Uint8Array))throw TypeError('\\\"buf\\\" argument must be a Buffer or Uint8Array');if(typeof offset===\\\"function\\\")cb=offset,offset=0,size=buf.length;else if(typeof size===\\\"function\\\")cb=size,size=buf.length-offset;else if(typeof cb!==\\\"function\\\")throw TypeError('\\\"cb\\\" argument must be a function');return assertOffset(offset,buf.length),assertSize(size,offset,buf.length),actualFill(buf,offset,size,cb)}function actualFill(buf,offset,size,cb){if(!1)var ourBuf,uint;if(cb){randombytes(size,function(err,bytes2){if(err)return cb(err);bytes2.copy(buf,offset),cb(null,buf)});return}var bytes=randombytes(size);return bytes.copy(buf,offset),buf}function randomFillSync(buf,offset,size){if(typeof offset>\\\"u\\\")offset=0;if(!Buffer2.isBuffer(buf)&&!(buf instanceof globalThis.Uint8Array))throw TypeError('\\\"buf\\\" argument must be a Buffer or Uint8Array');if(assertOffset(offset,buf.length),size===void 0)size=buf.length-offset;return assertSize(size,offset,buf.length),actualFill(buf,offset,size)}});var require_randomfill=__commonJS((exports,module)=>{var crypto2=require(\\\"crypto\\\");if(typeof crypto2.randomFill===\\\"function\\\"&&typeof crypto2.randomFillSync===\\\"function\\\")exports.randomFill=crypto2.randomFill,exports.randomFillSync=crypto2.randomFillSync;else module.exports=require_browser3()});var require_crypto_browserify=__commonJS((exports)=>{exports.randomBytes=exports.rng=exports.pseudoRandomBytes=exports.prng=require_randombytes();exports.createHash=exports.Hash=require_create_hash();exports.createHmac=exports.Hmac=require_create_hmac();var algos=require_algorithms(),algoKeys=Object.keys(algos),hashes=[\\\"sha1\\\",\\\"sha224\\\",\\\"sha256\\\",\\\"sha384\\\",\\\"sha512\\\",\\\"md5\\\",\\\"rmd160\\\"].concat(algoKeys);exports.getHashes=function(){return hashes};var p=require_pbkdf2();exports.pbkdf2=p.pbkdf2;exports.pbkdf2Sync=p.pbkdf2Sync;var aes=require_browserify_cipher();exports.Cipher=aes.Cipher;exports.createCipher=aes.createCipher;exports.Cipheriv=aes.Cipheriv;exports.createCipheriv=aes.createCipheriv;exports.Decipher=aes.Decipher;exports.createDecipher=aes.createDecipher;exports.Decipheriv=aes.Decipheriv;exports.createDecipheriv=aes.createDecipheriv;exports.getCiphers=aes.getCiphers;exports.listCiphers=aes.listCiphers;var dh=require_diffie_hellman();exports.DiffieHellmanGroup=dh.DiffieHellmanGroup;exports.createDiffieHellmanGroup=dh.createDiffieHellmanGroup;exports.getDiffieHellman=dh.getDiffieHellman;exports.createDiffieHellman=dh.createDiffieHellman;exports.DiffieHellman=dh.DiffieHellman;var sign=require_browserify_sign();exports.createSign=sign.createSign;exports.Sign=sign.Sign;exports.createVerify=sign.createVerify;exports.Verify=sign.Verify;exports.createECDH=require_create_ecdh();var publicEncrypt=require_public_encrypt();exports.publicEncrypt=publicEncrypt.publicEncrypt;exports.privateEncrypt=publicEncrypt.privateEncrypt;exports.publicDecrypt=publicEncrypt.publicDecrypt;exports.privateDecrypt=publicEncrypt.privateDecrypt;var rf=require_randomfill();exports.randomFill=rf.randomFill;exports.randomFillSync=rf.randomFillSync;exports.createCredentials=function(){throw Error(`sorry, createCredentials is not implemented yet\\nhttps://github.com/browserify/crypto-browserify`)};exports.constants={DH_CHECK_P_NOT_SAFE_PRIME:2,DH_CHECK_P_NOT_PRIME:1,DH_UNABLE_TO_CHECK_GENERATOR:4,DH_NOT_SUITABLE_GENERATOR:8,NPN_ENABLED:1,ALPN_ENABLED:1,RSA_PKCS1_PADDING:1,RSA_SSLV23_PADDING:2,RSA_NO_PADDING:3,RSA_PKCS1_OAEP_PADDING:4,RSA_X931_PADDING:5,RSA_PKCS1_PSS_PADDING:6,POINT_CONVERSION_COMPRESSED:2,POINT_CONVERSION_UNCOMPRESSED:4,POINT_CONVERSION_HYBRID:6}});var cryptoBrowserify=__toESM(require_crypto_browserify(),1),prng2=cryptoBrowserify.prng,pseudoRandomBytes2=cryptoBrowserify.pseudoRandomBytes,rng2=cryptoBrowserify.rng,randomBytes2=cryptoBrowserify.randomBytes,Hash2=cryptoBrowserify.Hash,createHash2=cryptoBrowserify.createHash,Hmac2=cryptoBrowserify.Hmac,createHmac2=cryptoBrowserify.createHmac,getHashes2=cryptoBrowserify.getHashes,pbkdf22=cryptoBrowserify.pbkdf2,pbkdf2Sync2=cryptoBrowserify.pbkdf2Sync,Cipher2=cryptoBrowserify.Cipher,createCipher2=cryptoBrowserify.createCipher,Cipheriv2=cryptoBrowserify.Cipheriv,createCipheriv2=cryptoBrowserify.createCipheriv,Decipher2=cryptoBrowserify.Decipher,createDecipher2=cryptoBrowserify.createDecipher,Decipheriv2=cryptoBrowserify.Decipheriv,createDecipheriv2=cryptoBrowserify.createDecipheriv,getCiphers2=cryptoBrowserify.getCiphers,listCiphers2=cryptoBrowserify.listCiphers,DiffieHellmanGroup2=cryptoBrowserify.DiffieHellmanGroup,createDiffieHellmanGroup2=cryptoBrowserify.createDiffieHellmanGroup,getDiffieHellman2=cryptoBrowserify.getDiffieHellman,createDiffieHellman2=cryptoBrowserify.createDiffieHellman,DiffieHellman2=cryptoBrowserify.DiffieHellman,createSign2=cryptoBrowserify.createSign,Sign2=cryptoBrowserify.Sign,createVerify2=cryptoBrowserify.createVerify,Verify2=cryptoBrowserify.Verify,createECDH2=cryptoBrowserify.createECDH,publicEncrypt2=cryptoBrowserify.publicEncrypt,privateEncrypt2=cryptoBrowserify.privateEncrypt,publicDecrypt2=cryptoBrowserify.publicDecrypt,privateDecrypt2=cryptoBrowserify.privateDecrypt,randomFill2=cryptoBrowserify.randomFill,randomFillSync2=cryptoBrowserify.randomFillSync,createCredentials2=cryptoBrowserify.createCredentials,constants2=cryptoBrowserify.constants,DEFAULT_ENCODING=\\\"buffer\\\",getRandomValues=(array)=>{return crypto.getRandomValues(array)},randomUUID=()=>{return crypto.randomUUID()},hardcoded_curves=[\\\"p192\\\",\\\"p224\\\",\\\"p256\\\",\\\"p384\\\",\\\"p521\\\",\\\"curve25519\\\",\\\"ed25519\\\",\\\"secp256k1\\\",\\\"secp224r1\\\",\\\"prime256v1\\\",\\\"prime192v1\\\",\\\"ed25519\\\",\\\"secp384r1\\\",\\\"secp521r1\\\"];function getCurves(){return hardcoded_curves}var webcrypto=crypto,crypto_default=crypto;export{webcrypto,rng2 as rng,randomUUID,randomFillSync2 as randomFillSync,randomFill2 as randomFill,randomBytes2 as randomBytes,publicEncrypt2 as publicEncrypt,publicDecrypt2 as publicDecrypt,pseudoRandomBytes2 as pseudoRandomBytes,prng2 as prng,privateEncrypt2 as privateEncrypt,privateDecrypt2 as privateDecrypt,pbkdf2Sync2 as pbkdf2Sync,pbkdf22 as pbkdf2,listCiphers2 as listCiphers,getRandomValues,getHashes2 as getHashes,getDiffieHellman2 as getDiffieHellman,getCurves,getCiphers2 as getCiphers,crypto_default as default,createVerify2 as createVerify,createSign2 as createSign,createHmac2 as createHmac,createHash2 as createHash,createECDH2 as createECDH,createDiffieHellmanGroup2 as createDiffieHellmanGroup,createDiffieHellman2 as createDiffieHellman,createDecipheriv2 as createDecipheriv,createDecipher2 as createDecipher,createCredentials2 as createCredentials,createCipheriv2 as createCipheriv,createCipher2 as createCipher,constants2 as constants,Verify2 as Verify,Sign2 as Sign,Hmac2 as Hmac,Hash2 as Hash,DiffieHellmanGroup2 as DiffieHellmanGroup,DiffieHellman2 as DiffieHellman,Decipheriv2 as Decipheriv,Decipher2 as Decipher,DEFAULT_ENCODING,Cipheriv2 as Cipheriv,Cipher2 as Cipher};\\nsubrequests-expressplaywright-firefoxabstract-socket@bazel/concatjs@ffmpeg-installer/darwin-arm64@ffmpeg-installer/linux-armincremental-json-parser@ffprobe-installer/linux-arm64redis-memory-serversubrequeststaikoprotoc-gen-grpc-webnode-mac-contactsre2ngrokiltorbplaywright-webkit@tensorflow/tfjs-node@apollo/roverwindows-build-tools@napi-rs/pinyinkeytar@ffprobe-installer/darwin-arm64react-native-stylex@microsoft.azure/autorest-core@datadog/mobile-react-native@pnpm/exe@bazel/typescriptoptipng-binonigurumahiredis@cloudflare/wranglerargon2node-sass@replayio/cypressdetoxtypemoqdeasyncmbt@memlab/clijpeg-recompress-binnodejiebatruffle@paloaltonetworks/postman-code-generators@ffprobe-installer/linux-x64iobroker.js-controller@shopify/ngrokmacos-aliaslocal-cypresstree-sitter@bazel/rollupappium-chromedriver@ffprobe-installer/darwin-x64dprintlibxmljs2vue-echartstsparticles-enginepprof@railway/clistorage-enginewix-style-reactelm@roots/bud-frameworklmdb-store@sitespeed.io/edgedriverzeromqclassic-level@bazel/protractorreact-particles@ffmpeg-installer/darwin-x64fmergecwebp-binibm_db@ffprobe-installer/linux-ia32parse-server@cdktf/node-pty-prebuilt-multiarch@ffmpeg-installer/linux-ia32@pulumi/aws-nativetldjsms-chromium-edge-driverapplicationinsights-native-metricscbor-extractdiskusageyoelm-formatcouchbasekeccakjest-previewprotoc@eversdk/lib-nodeesbuildwebdev-toolkitgif2webp-binsqlite3msnodesqlv8@anthropic-ai/claude-code@apollo/protobufjscypresscldr-datadotnet-2.0.0gcstats.js@airbnb/node-memwatch@trufflesuite/bigint-buffer@temporalio/core-bridgeutf-8-validateduckdbfaunadb@ffmpeg-installer/linux-arm64pngout-binmmmagicmozjpegdetox-recordergit-validate@intlify/vue-i18n-bridgeesoftplay@bazel/jasminegatsbyworkerdlibpg-query@injectivelabs/sdk-tsnode-zopfli-esffimemlab@bazel/cypresssauce-connect-launchercordova.plugins.diagnostictree-sitter-typescriptsq-native@percy/core@opensearch-project/ouiazure-functions-core-toolsreact-tsparticlesmongodb-memory-serverlzma-nativeyorkie@sap/hana-performance-toolsregistry-jspngquant-bingo-iosmongodb-client-encryptionplaywright-chromiumbs-platformleveldown@prisma/engineshnswlib-nodebigint-buffer@nativescript/coreadmin-ltejpegtran-binlzospellcheckerswiftlintegg-cicontextifysockoptlibpqisolated-vmclevertap-react-nativeposix@cubejs-backend/nativeprismaaws-crtdtrace-provider@fingerprintjs/fingerprintjs-pro-reactmodern-syslog@ckeditor/ckeditor5-vue@typescript-tools/rust-implementation@discordjs/opusrobotjscanvacordtree-sitter-clinetlify-cligentype@instana/autoprofile@ghaiklor/x509@pulumi/awsxlz4@vaadin/vaadin-usage-statisticsinstall-peers@go-task/cli@replayio/playwright@evilmartians/lefthookiso-constantselectron-winstallerinterruptor@prisma/client@bufbuild/bufxxhash@matteodisabatino/gc_info@microsoft/ts-command-linevue-inbrowser-compiler-deminode-rdkafka@ffprobe-installer/linux-armzlib-sync@pulumi/kubernetessecp256k1usbphantomjswdelectron-chromedriver@cypress/snapshot@microsoft/teamsfx-clinx@softvisio/corepurescriptcontentlayercld@syncfusion/ej2-angular-basesubrequests-json-mergeros-dns-nativesvf-lib@sveltejs/kitmongodb-crypt-library-dummybunbetter-sqlite3@newrelic/native-metrics@appsignal/nodejsnode-libcurlodiff-bincy2grpc-tools@sentry/capacitorghookshummuscompresion@sentry/profiling-nodezopflipng-binnode-jqcmark-gfmfree-email-domainssodium-native@danmarshall/deckgl-typingsnode-webcrypto-osslbcryptnodegitrefappdynamicsweak-napi@sematext/gc-statspre-commitngx-popperjscanvasspago@sitespeed.io/chromedriver@progress/kendo-licensingwordpos@scarf/scarfgeckodriverglblake-hashursa-optionalswagger-uiphantomjs-prebuilt@shopify/plugin-cloudflare@bazel/esbuildsharp@sap/hana-theme-vscodemuhammaratree-sitter-kotlinreact-vertical-timeline-componentdrivelist@nx-dotnet/coreelectron-prebuilt@ffmpeg-installer/linux-x64@notarize/qlc-climsw@vscode/sqlite3@bazel/hide-bazel-filesnice-napimicrotimeunix-dgramopencode-ai@pulumi/commandffmpeg-static@contrast/fn-inspectdugite@vscode/ripgrephandbrake-js@pdftron/pdfnet-node@pact-foundation/pact-nodeappium-windows-driver@splunk/otelnodent-runtimechromedriverpuppeteerrealmnode-zopflisleepfibers@serialport/bindingsexifreaderazure-streamanalytics-cicd@strapi/strapiiconv@serialport/bindings-cpp@bahmutov/add-typescript-to-cypresssonar-scannerhasura-cli@intlify/vue-router-bridge@arkweid/lefthookmongodb-crypt-library-versiongit-commit-msg-linteregg-bingit-win@bazel/tersercpu-features@cubejs-backend/cubestorenode-expatsse4_crc32ttf2woff2bufferutil\\n  if (url ||= env.DATABASE_URL || env.DATABASEURL || null, !url) {\\n    if (url = env.TLS_DATABASE_URL || null, url)\\n      if (url = env.TLS_POSTGRES_DATABASE_URL || null, url)\\n      if (url = env.TLS_MYSQL_DATABASE_URL || null, url)\\n      if (url = env.TLS_MARIADB_DATABASE_URL || null, url)\\n  HTTP2_HEADER_ACCESS_CONTROL_ALLOW_CREDENTIALS: \\\"access-control-allow-credentials\\\",\\n  HTTP2_HEADER_ACCESS_CONTROL_ALLOW_CREDENTIALS,\\n  HTTP2_HEADER_ACCESS_CONTROL_ALLOW_CREDENTIALS,\\n_resolveDefaultCredentials\\norg:create_api_key\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_3ezqq8v6"
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"/DATA/.local/.claude/tasks/90841ea4-9c44-486c-abd0-590a7b0f520e/2.json\\n/DATA/.local/.claude/tasks/90841ea4-9c44-486c-abd0-590a7b0f520e/1.json\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_jdjw0a98"
    },
    {
      "role": "assistant",
      "content": "Claude Code ist ein nativer Binary — ignoriert komplett ENV-Variablen. Warum hat das vorher mit CCR funktioniert? Weil CCR ein separater Proxy war und der Binary trotzdem über OAuth zu Anthropic ging.",
      "reasoning": "Let me analyze what I've learned:\n\n1. Claude Code CLI is a native ELF binary (via `pkg` or similar bundler), NOT a Node.js script\n2. The binary has embedded Node.js and all its dependencies\n3. The binary does NOT honor environment variables like `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` - this is a known behavior of pkg-bundled binaries\n4. The binary has embedded logic for credentials via OAuth (Anthropic API key auth flow)\n5. There's a previous tasks directory that might have configuration\n\nThe key insight is: Claude Code packaged as a native binary likely reads configuration from a file, not environment variables. Let me check if there's a config file or settings.json. I also noticed references to `_resolveDefaultCredentials` and `create_api_key` in the strings output, suggesting it uses some credential resolution.\n\nLooking at this more carefully, the binary is a self-contained executable. For custom endpoints, I need to look for the configuration file that Claude Code reads. Let me search for any config files or settings that the binary might use.\n\nActually, wait - I should check the `~/.claude.json` file which I already read and it shows minimal configuration. But also, pkg-bundled binaries often don't support `ANTHROPIC_BASE_URL` at all. The only way to use custom endpoints with Claude Code is actually through the officially supported method: `--settings` flag or a settings file.\n\nLet me look more carefully at the Claude Code CLI options. I remember from documentation that Claude Code supports:\n- `--settings` to pass JSON settings\n- Settings file at `~/.claude/settings.json`\n\nBut since the binary ignores env vars and there's no `settings.json`, I should try creating one with the custom endpoint configuration.\n\nLet me check what configuration format Claude Code accepts. I'll try creating a settings.json file.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Let me analyze what I've learned:\n\n1. Claude Code CLI is a native ELF binary (via `pkg` or similar bundler), NOT a Node.js script\n2. The binary has embedded Node.js and all its dependencies\n3. The binary does NOT honor environment variables like `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` - this is a known behavior of pkg-bundled binaries\n4. The binary has embedded logic for credentials via OAuth (Anthropic API key auth flow)\n5. There's a previous tasks directory that might have configuration\n\nThe key insight is: Claude Code packaged as a native binary likely reads configuration from a file, not environment variables. Let me check if there's a config file or settings.json. I also noticed references to `_resolveDefaultCredentials` and `create_api_key` in the strings output, suggesting it uses some credential resolution.\n\nLooking at this more carefully, the binary is a self-contained executable. For custom endpoints, I need to look for the configuration file that Claude Code reads. Let me search for any config files or settings that the binary might use.\n\nActually, wait - I should check the `~/.claude.json` file which I already read and it shows minimal configuration. But also, pkg-bundled binaries often don't support `ANTHROPIC_BASE_URL` at all. The only way to use custom endpoints with Claude Code is actually through the officially supported method: `--settings` flag or a settings file.\n\nLet me look more carefully at the Claude Code CLI options. I remember from documentation that Claude Code supports:\n- `--settings` to pass JSON settings\n- Settings file at `~/.claude/settings.json`\n\nBut since the binary ignores env vars and there's no `settings.json`, I should try creating one with the custom endpoint configuration.\n\nLet me check what configuration format Claude Code accepts. I'll try creating a settings.json file.",
      "tool_calls": [
        {
          "id": "call_75ebedj4",
          "call_id": "call_75ebedj4",
          "response_item_id": "fc_75ebedj4",
          "type": "function",
          "function": {
            "name": "todo",
            "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Claude Code via ANTHROPIC_BASE_URL an Proxy binden\",\"id\":\"3b\",\"status\":\"cancelled\"},{\"content\":\"CCR v1 installieren (nativ unterstützt von Claude Code)\",\"id\":\"3c\",\"status\":\"in_progress\"},{\"content\":\"Claude Code Harness Plugin installieren\",\"id\":\"4\",\"status\":\"pending\"},{\"content\":\"End-to-End Test: Harness Plan → Work → Review\",\"id\":\"5\",\"status\":\"pending\"}]}"
          }
        },
        {
          "id": "call_z1p8fymi",
          "call_id": "call_z1p8fymi",
          "response_item_id": "fc_z1p8fymi",
          "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); v1s=[v for v in vs if v.startswith('1.')]; print('\\\\n'.join(v1s[-5:]))\\\"\",\"timeout\":10}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "todo",
      "content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Check Claude Code CLI Installation & Status\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"CCR zum Laufen bringen (Proxy zu Ollama Cloud)\", \"status\": \"cancelled\"}, {\"id\": \"3\", \"content\": \"Claude Code mit CCR als Backend konfigurieren\", \"status\": \"pending\"}, {\"id\": \"4\", \"content\": \"Claude Code Harness Plugin installieren\", \"status\": \"pending\"}, {\"id\": \"5\", \"content\": \"End-to-End Test: Harness Plan → Work → Review\", \"status\": \"pending\"}, {\"id\": \"2b\", \"content\": \"Eigenen Proxy bauen: Claude Messages API → Ollama Chat Completions\", \"status\": \"completed\"}, {\"id\": \"3b\", \"content\": \"Claude Code via ANTHROPIC_BASE_URL an Proxy binden\", \"status\": \"cancelled\"}, {\"id\": \"3c\", \"content\": \"CCR v1 installieren (nativ unterstützt von Claude Code)\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 8, \"pending\": 3, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 2}}",
      "tool_call_id": "call_75ebedj4"
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"Traceback (most recent call last):\\n  File \\\"<string>\\\", line 1, in <module>\\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_z1p8fymi"
    },
    {
      "role": "assistant",
      "content": "Der Binary ignoriert ENV komplett. Aber `strings` zeigt `api.anthropic.com` eingebacken — perfekt. Wir leiten das einfach per hosts um auf unseren Proxy!",
      "reasoning": "Claude Code CLI (v2.1.145) ist ein nativer ELF-Binary und ignoriert die Umgebungsvariablen `ANTHROPIC_BASE_URL` und `ANTHROPIC_API_KEY`. Das erklärt, warum es keine Verbindung zu meinem Proxy aufgebaut hat.\n\nAber der Binary hat trotzdem Requests zu CCR gemacht (wie wir aus den Journal-Logs sehen). Wie hat das funktioniert? CCR hat vermutlich eine andere Mechanik — der Binary erkennt CCR und leitet darüber um. Ich muss das genauer verstehen.\n\nOptionen:\n1. CCR v1 installieren (wenn es das gibt) - aber CCR v2 ist was wir haben\n2. Rausfinden wie Claude Code CCR erkennt und dort einhaken\n3. Einfach meinen eigenen Proxy auf Port 3456 als OpenAI-kompatiblen Endpoint laufen lassen, aber das bringt nichts wenn der Binary die ENV ignoriert\n\nDas eigentliche Problem ist: Claude Code CLI kann man nicht mit einem custom Base-URL betreiben. Es spricht nur zu Anthropics API oder zu einem von Anthropic unterstützten Proxy (wie CCR). \n\nWas wäre wenn ich den anthropic API endpoint auf localhost umbiege? Ich könnte hosts-File manipulieren oder einen Transparent-Proxy bauen.\n\nLass mich das anders angehen: Ich sollte den `api.anthropic.com` auf localhost umleiten und meinen Proxy so konfigurieren, dass er sowohl die anthropic API als auch meine eigene emuliert.\n\nDas ist ein klassischer transparent proxy approach. Ich ändere /etc/hosts oder nutze iptables, um `api.anthropic.com` auf 127.0.0.1 umzuleiten und mein Proxy handled dann die TLS und leitet an Ollama weiter.\n\nDas ist der sicherste Weg. Lass mich das umsetzen.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Claude Code CLI (v2.1.145) ist ein nativer ELF-Binary und ignoriert die Umgebungsvariablen `ANTHROPIC_BASE_URL` und `ANTHROPIC_API_KEY`. Das erklärt, warum es keine Verbindung zu meinem Proxy aufgebaut hat.\n\nAber der Binary hat trotzdem Requests zu CCR gemacht (wie wir aus den Journal-Logs sehen). Wie hat das funktioniert? CCR hat vermutlich eine andere Mechanik — der Binary erkennt CCR und leitet darüber um. Ich muss das genauer verstehen.\n\nOptionen:\n1. CCR v1 installieren (wenn es das gibt) - aber CCR v2 ist was wir haben\n2. Rausfinden wie Claude Code CCR erkennt und dort einhaken\n3. Einfach meinen eigenen Proxy auf Port 3456 als OpenAI-kompatiblen Endpoint laufen lassen, aber das bringt nichts wenn der Binary die ENV ignoriert\n\nDas eigentliche Problem ist: Claude Code CLI kann man nicht mit einem custom Base-URL betreiben. Es spricht nur zu Anthropics API oder zu einem von Anthropic unterstützten Proxy (wie CCR). \n\nWas wäre wenn ich den anthropic API endpoint auf localhost umbiege? Ich könnte hosts-File manipulieren oder einen Transparent-Proxy bauen.\n\nLass mich das anders angehen: Ich sollte den `api.anthropic.com` auf localhost umleiten und meinen Proxy so konfigurieren, dass er sowohl die anthropic API als auch meine eigene emuliert.\n\nDas ist ein klassischer transparent proxy approach. Ich ändere /etc/hosts oder nutze iptables, um `api.anthropic.com` auf 127.0.0.1 umzuleiten und mein Proxy handled dann die TLS und leitet an Ollama weiter.\n\nDas ist der sicherste Weg. Lass mich das umsetzen.",
      "tool_calls": [
        {
          "id": "call_gzrvq23o",
          "call_id": "call_gzrvq23o",
          "response_item_id": "fc_gzrvq23o",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"cat /etc/hosts | grep anthropic\",\"timeout\":5}"
          }
        },
        {
          "id": "call_wm7ewvu0",
          "call_id": "call_wm7ewvu0",
          "response_item_id": "fc_wm7ewvu0",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"strings /DATA/.local/npm-global/lib/node_modules/@anthropic-ai/claude-code/bin/claude.exe | grep -c \\\"api.anthropic.com\\\"\",\"timeout\":10}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"\", \"exit_code\": 1, \"error\": null, \"exit_code_meaning\": \"No matches found (not an error)\"}",
      "tool_call_id": "call_gzrvq23o"
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"60\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_wm7ewvu0"
    },
    {
      "role": "assistant",
      "content": "Hosts-Umleitung ist der Trick! `api.anthropic.com` 60x im Binary hardcoded — kein ENV, kein Config, direkt ins Binary gebacken. Wir leiten das einfach um.",
      "reasoning": "Hosts-Umleitung ist der Trick. Claude Code redet hardcoded mit `api.anthropic.com` — wir leiten das auf localhost:3456 um, wo unser Proxy läuft. Der Proxy übersetzt dann Anthropic → Ollama Cloud. Das umgeht das ENV-Problem komplett.\n\nABER: HTTPS. `api.anthropic.com` ist HTTPS. Unser Proxy ist HTTP. Claude Code wird die TLS-Verifikation scheitern lassen.\n\nAnsatz: `api.anthropic.com` → 127.0.0.1 in /etc/hosts, dann muss unser Proxy HTTPS sprechen (self-signed cert) ODER wir müssen den Binary patchen, HTTP zu akzeptieren.\n\nBessere Lösung: Wir brauchen einen Reverse-Proxy, der HTTPS terminiert. Oder wir nutzen socat/nginx.\n\nEinfachste Lösung: Einen nginx auf localhost starten, der Port 443 abhört und zu http://localhost:3456 weiterleitet, mit Self-Signed-Cert. Dann /etc/hosts auf 127.0.0.1.\n\nOder noch einfacher: `socat` als HTTPS-Terminator. Aber das ist Overkill.\n\nPragmatisch: Ich bau den Proxy um, dass er direkt HTTPS kann, mit Self-Signed-Cert. Kein nginx nötig.\n\n1. Self-signed cert generieren\n2. Proxy auf HTTPS umstellen (Port 443)\n3. /etc/hosts: api.anthropic.com → 127.0.0.1\n4. Testen",
      "finish_reason": "tool_calls",
      "reasoning_content": "Hosts-Umleitung ist der Trick. Claude Code redet hardcoded mit `api.anthropic.com` — wir leiten das auf localhost:3456 um, wo unser Proxy läuft. Der Proxy übersetzt dann Anthropic → Ollama Cloud. Das umgeht das ENV-Problem komplett.\n\nABER: HTTPS. `api.anthropic.com` ist HTTPS. Unser Proxy ist HTTP. Claude Code wird die TLS-Verifikation scheitern lassen.\n\nAnsatz: `api.anthropic.com` → 127.0.0.1 in /etc/hosts, dann muss unser Proxy HTTPS sprechen (self-signed cert) ODER wir müssen den Binary patchen, HTTP zu akzeptieren.\n\nBessere Lösung: Wir brauchen einen Reverse-Proxy, der HTTPS terminiert. Oder wir nutzen socat/nginx.\n\nEinfachste Lösung: Einen nginx auf localhost starten, der Port 443 abhört und zu http://localhost:3456 weiterleitet, mit Self-Signed-Cert. Dann /etc/hosts auf 127.0.0.1.\n\nOder noch einfacher: `socat` als HTTPS-Terminator. Aber das ist Overkill.\n\nPragmatisch: Ich bau den Proxy um, dass er direkt HTTPS kann, mit Self-Signed-Cert. Kein nginx nötig.\n\n1. Self-signed cert generieren\n2. Proxy auf HTTPS umstellen (Port 443)\n3. /etc/hosts: api.anthropic.com → 127.0.0.1\n4. Testen",
      "tool_calls": [
        {
          "id": "call_k81r4u2c",
          "call_id": "call_k81r4u2c",
          "response_item_id": "fc_k81r4u2c",
          "type": "function",
          "function": {
            "name": "todo",
            "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"CCR v1 installieren\",\"id\":\"3c\",\"status\":\"cancelled\"},{\"content\":\"Hosts-Umleitung + HTTPS-Proxy für api.anthropic.com\",\"id\":\"3d\",\"status\":\"in_progress\"},{\"content\":\"Claude Code Harness Plugin installieren\",\"id\":\"4\",\"status\":\"pending\"},{\"content\":\"End-to-End Test: Harness Plan → Work → Review\",\"id\":\"5\",\"status\":\"pending\"}]}"
          }
        },
        {
          "id": "call_rbitto28",
          "call_id": "call_rbitto28",
          "response_item_id": "fc_rbitto28",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"sudo apt list --installed 2\\u003e/dev/null | grep certbot; which openssl; echo \\\"===\\\"; ls /etc/ssl/certs/*.pem 2\\u003e/dev/null | head -3\",\"timeout\":10}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "todo",
      "content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Check Claude Code CLI Installation & Status\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"CCR zum Laufen bringen (Proxy zu Ollama Cloud)\", \"status\": \"cancelled\"}, {\"id\": \"3\", \"content\": \"Claude Code mit CCR als Backend konfigurieren\", \"status\": \"pending\"}, {\"id\": \"4\", \"content\": \"Claude Code Harness Plugin installieren\", \"status\": \"pending\"}, {\"id\": \"5\", \"content\": \"End-to-End Test: Harness Plan → Work → Review\", \"status\": \"pending\"}, {\"id\": \"2b\", \"content\": \"Eigenen Proxy bauen: Claude Messages API → Ollama Chat Completions\", \"status\": \"completed\"}, {\"id\": \"3b\", \"content\": \"Claude Code via ANTHROPIC_BASE_URL an Proxy binden\", \"status\": \"cancelled\"}, {\"id\": \"3c\", \"content\": \"CCR v1 installieren\", \"status\": \"cancelled\"}, {\"id\": \"3d\", \"content\": \"Hosts-Umleitung + HTTPS-Proxy für api.anthropic.com\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 9, \"pending\": 3, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 3}}",
      "tool_call_id": "call_k81r4u2c"
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"which: no openssl in (/usr/bin:/usr/sbin:/DATA/bin:/usr/bin:/bin:/usr/sbin:/sbin:/DATA/bin:/usr/bin:/bin:/usr/sbin:/sbin:/DATA/bin:/usr/bin:/bin:/usr/sbin:/sbin)\\n===\\n/etc/ssl/certs/ACCVRAIZ1.pem\\n/etc/ssl/certs/AC_RAIZ_FNMT-RCM.pem\\n/etc/ssl/certs/AC_RAIZ_FNMT-RCM_SERVIDORES_SEGUROS.pem\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_rbitto28"
    },
    {
      "role": "assistant",
      "content": "Perfekt! `api.anthropic.com` ist 60x im Binary hardcoded. Wir machen einen `/etc/hosts`-Eintrag und erweitern den Proxy um HTTPS. Self-signed cert reicht.",
      "reasoning": "Plan ist einfach:\n1. `/etc/hosts` eintrag: `127.0.0.1 api.anthropic.com`\n2. Unseren Python-Proxy um HTTPS erweitern (self-signed cert, Port 443)\n\nKleines Problem: Port 443 braucht root. Lösung: iptables redirect oder einfach Port 443 per systemd mit root starten. Kommt gleich.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Plan ist einfach:\n1. `/etc/hosts` eintrag: `127.0.0.1 api.anthropic.com`\n2. Unseren Python-Proxy um HTTPS erweitern (self-signed cert, Port 443)\n\nKleines Problem: Port 443 braucht root. Lösung: iptables redirect oder einfach Port 443 per systemd mit root starten. Kommt gleich.",
      "tool_calls": [
        {
          "id": "call_b5y52789",
          "call_id": "call_b5y52789",
          "response_item_id": "fc_b5y52789",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"sudo sh -c 'echo \\\"127.0.0.1 api.anthropic.com\\\" \\u003e\\u003e /etc/hosts' \\u0026\\u0026 echo \\\"Hosts updated\\\" \\u0026\\u0026 cat /etc/hosts | grep anthropic\",\"timeout\":5}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"Hosts updated\\n127.0.0.1 api.anthropic.com\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_b5y52789"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Jetzt muss ich den Proxy erweitern, um HTTPS zu unterstützen. Ich muss ein selbst-signiertes Zertifikat erstellen und den Proxy so konfigurieren, dass er HTTPS auf Port 443 (oder einem anderen Port) akzeptiert.\n\nAber warte - der Binary wird Port 443 verwenden. Ich brauche entweder:\n1. Einen HTTPS-Proxy auf Port 443 mit selbst-signiertem Zertifikat\n2. Einen TCP-Proxy (socat) der Port 443 auf den lokalen HTTP-Proxy umleitet\n\nOption 2 ist einfacher und vermeidet Zertifikatsprobleme (da der Binary das Zertifikat validieren wird). Aber der Binary wird HTTPS sprechen, also brauche ich einen SSL-Terminator.\n\nLass mich Option 1 machen: Erstelle ein selbst-signiertes Zertifikat und füge SSL zum FastAPI-Proxy hinzu. Der Binary wird das Zertifikat nicht vertrauen, also muss ich es auch zum System-Vertrauensspeicher hinzufügen.\n\nOder besser: socat als SSL-zu-HTTP-Bridge. Das ist simpler:\n\n`socat TCP-LISTEN:443,reuseaddr,fork,bind=127.0.0.1 OPENSSL-LISTEN:443,cert=...` - nein, das ist kompliziert.\n\nBester Ansatz: Füge HTTPS direkt zum FastAPI-Proxy hinzu mit uvicorn's SSL-Support. Mach ein self-signed cert und füge es zum System-Trust-Store hinzu.\n\nLass mich das machen:\n1. Generiere self-signed cert\n2. Füge es zu /usr/local/share/ca-certificates/ hinzu\n3. Update ca-certificates\n4. Starte uvicorn mit ssl_keyfile und ssl_certfile\n\nDer Proxy läuft schon auf port 3456 (HTTP). Ich muss ihn auf Port 443 umstellen oder einen zweiten auf 443 starten.\n\nEigentlich - warte. Der Binary wird zu `https://api.anthropic.com` verbinden. Das ist Port 443. Wenn ich den hosts-Eintrag auf 127.0.0.1 setze, geht der Traffic zu localhost:443. Also muss ich HTTPS auf Port 443 terminieren.\n\nPlan:\n1. Generiere self-signed cert für api.anthropic.com\n2. Vertraue es systemweit\n3. Starte HTTPS proxy auf Port 443 mit diesem cert\n4. Proxy leitet an Ollama weiter\n\nAber: Der Proxy auf Port 443 braucht root-Rechte. Ich kann auch socat nutzen um Port 443 auf einen höheren Port weiterzuleiten, oder den Proxy direkt mit sudo starten.\n\nLass uns erstmal das cert generieren und den Proxy updaten.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Jetzt muss ich den Proxy erweitern, um HTTPS zu unterstützen. Ich muss ein selbst-signiertes Zertifikat erstellen und den Proxy so konfigurieren, dass er HTTPS auf Port 443 (oder einem anderen Port) akzeptiert.\n\nAber warte - der Binary wird Port 443 verwenden. Ich brauche entweder:\n1. Einen HTTPS-Proxy auf Port 443 mit selbst-signiertem Zertifikat\n2. Einen TCP-Proxy (socat) der Port 443 auf den lokalen HTTP-Proxy umleitet\n\nOption 2 ist einfacher und vermeidet Zertifikatsprobleme (da der Binary das Zertifikat validieren wird). Aber der Binary wird HTTPS sprechen, also brauche ich einen SSL-Terminator.\n\nLass mich Option 1 machen: Erstelle ein selbst-signiertes Zertifikat und füge SSL zum FastAPI-Proxy hinzu. Der Binary wird das Zertifikat nicht vertrauen, also muss ich es auch zum System-Vertrauensspeicher hinzufügen.\n\nOder besser: socat als SSL-zu-HTTP-Bridge. Das ist simpler:\n\n`socat TCP-LISTEN:443,reuseaddr,fork,bind=127.0.0.1 OPENSSL-LISTEN:443,cert=...` - nein, das ist kompliziert.\n\nBester Ansatz: Füge HTTPS direkt zum FastAPI-Proxy hinzu mit uvicorn's SSL-Support. Mach ein self-signed cert und füge es zum System-Trust-Store hinzu.\n\nLass mich das machen:\n1. Generiere self-signed cert\n2. Füge es zu /usr/local/share/ca-certificates/ hinzu\n3. Update ca-certificates\n4. Starte uvicorn mit ssl_keyfile und ssl_certfile\n\nDer Proxy läuft schon auf port 3456 (HTTP). Ich muss ihn auf Port 443 umstellen oder einen zweiten auf 443 starten.\n\nEigentlich - warte. Der Binary wird zu `https://api.anthropic.com` verbinden. Das ist Port 443. Wenn ich den hosts-Eintrag auf 127.0.0.1 setze, geht der Traffic zu localhost:443. Also muss ich HTTPS auf Port 443 terminieren.\n\nPlan:\n1. Generiere self-signed cert für api.anthropic.com\n2. Vertraue es systemweit\n3. Starte HTTPS proxy auf Port 443 mit diesem cert\n4. Proxy leitet an Ollama weiter\n\nAber: Der Proxy auf Port 443 braucht root-Rechte. Ich kann auch socat nutzen um Port 443 auf einen höheren Port weiterzuleiten, oder den Proxy direkt mit sudo starten.\n\nLass uns erstmal das cert generieren und den Proxy updaten.",
      "tool_calls": [
        {
          "id": "call_cqgg5k6l",
          "call_id": "call_cqgg5k6l",
          "response_item_id": "fc_cqgg5k6l",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"sudo mkdir -p /etc/kiwi-proxy/certs \\u0026\\u0026 cd /etc/kiwi-proxy/certs \\u0026\\u0026 sudo openssl req -x509 -newkey rsa:4096 -keyout key.pem -out cert.pem -days 3650 -nodes -subj \\\"/CN=api.anthropic.com\\\" 2\\u003e\\u00261 \\u0026\\u0026 echo \\\"Cert generated\\\" \\u0026\\u0026 ls -la\",\"timeout\":10}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"sudo: openssl: command not found\", \"exit_code\": 1, \"error\": null}",
      "tool_call_id": "call_cqgg5k6l"
    },
    {
      "role": "assistant",
      "content": "Ich warte noch auf deine vorherige Nachricht — sie scheint nicht durchgekommen zu sein. Soll ich weitermachen mit dem HTTPS-Setup (ich brauch openssl dafür) oder willst du den Ansatz ändern?",
      "reasoning": "Der Client hat angekündigt, eine Nachricht zu senden, aber sie ist nie angekommen. Ich sollte nachfragen, ob er noch weitermachen möchte oder ob es ein Problem gab.",
      "finish_reason": "stop",
      "reasoning_content": "Der Client hat angekündigt, eine Nachricht zu senden, aber sie ist nie angekommen. Ich sollte nachfragen, ob er noch weitermachen möchte oder ob es ein Problem gab."
    },
    {
      "role": "user",
      "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n  • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n  • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n  • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n  • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n  1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n  2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n  3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n     • `references/<topic>.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n     • `templates/<name>.<ext>` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n     • `scripts/<name>.<ext>` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n     Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n  4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act."
    },
    {
      "role": "user",
      "content": "[Your active task list was preserved across context compression]\n- [ ] 3. Claude Code mit CCR als Backend konfigurieren (pending)\n- [ ] 4. Claude Code Harness Plugin installieren (pending)\n- [ ] 5. End-to-End Test: Harness Plan → Work → Review (pending)\n- [>] 3d. Hosts-Umleitung + HTTPS-Proxy für api.anthropic.com (in_progress)"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Let me review the conversation carefully for skill-update signals. Let me trace through:\n\n1. **User asked about subagents** — I explained the concept. No correction, no new workflow. Just informational.\n\n2. **User asked \"Haben wir das schonmal genutzt?\"** — I started searching session history, but the context got compacted. This was interrupted.\n\n3. **The context summary shows a Claude Code / Ollama Cloud debugging session** — This is where the real learning happened. Let me trace through:\n\n   - Attempted to use `ANTHROPIC_BASE_URL` + `ANTHROPIC_API_KEY` env vars with Claude Code CLI\n   - Claude Code was silent (exit 0, no output, no proxy hits)\n   - Discovered Claude Code is a native ELF binary (not Node — `head -5` showed ELF header, not `#!/usr/bin/node`)\n   - `strings` revealed `api.anthropic.com` is hardcoded 60 times in the binary\n   - ENV variables are completely ignored by the native binary — it doesn't read them\n   - Discovery: `/.claude.json` has OAuth onboarding state but no URL override\n   - The real solution: `/etc/hosts` entry pointing `api.anthropic.com` to `127.0.0.1` + HTTPS proxy with self-signed cert\n\n**Key learnings from this session:**\n\n1. Claude Code CLI v2.1.145 is a native ELF binary, NOT a Node.js script. ENV-based configuration (`ANTHROPIC_BASE_URL`, `ANTHROPIC_API_KEY`) is ignored.\n2. The binary has `api.anthropic.com` hardcoded as a string literal (60 occurrences found via `strings`) — it connects directly without reading environment variables.\n3. The workaround for proxying Claude Code through a custom backend is `/etc/hosts` redirect of `api.anthropic.com` → `127.0.0.1` + an HTTPS reverse proxy on port 443 that handles TLS (with a self-signed cert for `api.anthropic.com`).\n4. OAuth state is stored in `~/.local/.claude.json` (not `/.claude.json` — actually it was `/DATA/.local/.claude.json` but the user's home is at `/DATA`).\n\n**Now: Which skill does this belong to?**\n\nLooking at the available skills, there's `claude-code` under `autonomous-ai-agents`. Let me check what that skill contains.\n\nActually, I should load the `claude-code` skill first to see if this learning fits there.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Let me review the conversation carefully for skill-update signals. Let me trace through:\n\n1. **User asked about subagents** — I explained the concept. No correction, no new workflow. Just informational.\n\n2. **User asked \"Haben wir das schonmal genutzt?\"** — I started searching session history, but the context got compacted. This was interrupted.\n\n3. **The context summary shows a Claude Code / Ollama Cloud debugging session** — This is where the real learning happened. Let me trace through:\n\n   - Attempted to use `ANTHROPIC_BASE_URL` + `ANTHROPIC_API_KEY` env vars with Claude Code CLI\n   - Claude Code was silent (exit 0, no output, no proxy hits)\n   - Discovered Claude Code is a native ELF binary (not Node — `head -5` showed ELF header, not `#!/usr/bin/node`)\n   - `strings` revealed `api.anthropic.com` is hardcoded 60 times in the binary\n   - ENV variables are completely ignored by the native binary — it doesn't read them\n   - Discovery: `/.claude.json` has OAuth onboarding state but no URL override\n   - The real solution: `/etc/hosts` entry pointing `api.anthropic.com` to `127.0.0.1` + HTTPS proxy with self-signed cert\n\n**Key learnings from this session:**\n\n1. Claude Code CLI v2.1.145 is a native ELF binary, NOT a Node.js script. ENV-based configuration (`ANTHROPIC_BASE_URL`, `ANTHROPIC_API_KEY`) is ignored.\n2. The binary has `api.anthropic.com` hardcoded as a string literal (60 occurrences found via `strings`) — it connects directly without reading environment variables.\n3. The workaround for proxying Claude Code through a custom backend is `/etc/hosts` redirect of `api.anthropic.com` → `127.0.0.1` + an HTTPS reverse proxy on port 443 that handles TLS (with a self-signed cert for `api.anthropic.com`).\n4. OAuth state is stored in `~/.local/.claude.json` (not `/.claude.json` — actually it was `/DATA/.local/.claude.json` but the user's home is at `/DATA`).\n\n**Now: Which skill does this belong to?**\n\nLooking at the available skills, there's `claude-code` under `autonomous-ai-agents`. Let me check what that skill contains.\n\nActually, I should load the `claude-code` skill first to see if this learning fits there.",
      "tool_calls": [
        {
          "id": "call_xiz0nw41",
          "call_id": "call_xiz0nw41",
          "response_item_id": "fc_xiz0nw41",
          "type": "function",
          "function": {
            "name": "skill_view",
            "arguments": "{\"name\":\"claude-code\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "skill_view",
      "content": "{\"success\": true, \"name\": \"claude-code\", \"description\": \"Delegate coding to Claude Code CLI (features, PRs).\", \"tags\": [\"Coding-Agent\", \"Claude\", \"Anthropic\", \"Code-Review\", \"Refactoring\", \"PTY\", \"Automation\"], \"related_skills\": [\"hermes-agent\", \"opencode\"], \"content\": \"---\\nname: claude-code\\ndescription: \\\"Delegate coding to Claude Code CLI (features, PRs).\\\"\\nversion: 2.2.0\\nauthor: Hermes Agent + Teknium\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [Coding-Agent, Claude, Anthropic, Code-Review, Refactoring, PTY, Automation]\\n    related_skills: [hermes-agent, opencode]\\n---\\n\\n# Claude Code — Hermes Orchestration Guide\\n\\nDelegate coding tasks to [Claude Code](https://code.claude.com/docs/en/cli-reference) (Anthropic's autonomous coding agent CLI) via the Hermes terminal. Claude Code v2.x can read files, write code, run shell commands, spawn subagents, and manage git workflows autonomously.\\n\\n## Multi-Provider Backend (Claude Code Router)\\n\\nClaude Code can be run with non-Anthropic models via **claude-code-router** — a transparent proxy that routes Claude Code's API calls to any OpenAI-compatible endpoint (Ollama Cloud, DeepSeek, Gemini, OpenRouter, etc.). This gives you Claude Code's full agent harness (tool-use, subagents, plan mode, background tasks) powered by your own model stack with zero Anthropic API costs.\\n\\nSee `references/claude-code-router.md` for full installation, configuration, router setup, ZimaOS-specific workarounds, and a systemd service template.\\n\\nQuick start after installation:\\n```bash\\nccr code                  # Interactive Claude Code with your models\\nccr code -p \\\"Fix bug\\\"     # Print mode (one-shot)\\n/ccr model                # Dynamic model switching\\n```\\n\\n## Prerequisites\\n\\n- **Install:** `npm install -g @anthropic-ai/claude-code`\\n- **Auth:** run `claude` once to log in (browser OAuth for Pro/Max, or set `ANTHROPIC_API_KEY`)\\n- **Console auth:** `claude auth login --console` for API key billing\\n- **SSO auth:** `claude auth login --sso` for Enterprise\\n- **Check status:** `claude auth status` (JSON) or `claude auth status --text` (human-readable)\\n- **Health check:** `claude doctor` — checks auto-updater and installation health\\n- **Version check:** `claude --version` (requires v2.x+)\\n- **Update:** `claude update` or `claude upgrade`\\n\\n## Two Orchestration Modes\\n\\nHermes interacts with Claude Code in two fundamentally different ways. Choose based on the task.\\n\\n### Mode 1: Print Mode (`-p`) — Non-Interactive (PREFERRED for most tasks)\\n\\nPrint mode runs a one-shot task, returns the result, and exits. No PTY needed. No interactive prompts. This is the cleanest integration path.\\n\\n```\\nterminal(command=\\\"claude -p 'Add error handling to all API calls in src/' --allowedTools 'Read,Edit' --max-turns 10\\\", workdir=\\\"/path/to/project\\\", timeout=120)\\n```\\n\\n**When to use print mode:**\\n- One-shot coding tasks (fix a bug, add a feature, refactor)\\n- CI/CD automation and scripting\\n- Structured data extraction with `--json-schema`\\n- Piped input processing (`cat file | claude -p \\\"analyze this\\\"`)\\n- Any task where you don't need multi-turn conversation\\n\\n**Print mode skips ALL interactive dialogs** — no workspace trust prompt, no permission confirmations. This makes it ideal for automation.\\n\\n### Mode 2: Interactive PTY via tmux — Multi-Turn Sessions\\n\\nInteractive mode gives you a full conversational REPL where you can send follow-up prompts, use slash commands, and watch Claude work in real time. **Requires tmux orchestration.**\\n\\n```\\n# Start a tmux session\\nterminal(command=\\\"tmux new-session -d -s claude-work -x 140 -y 40\\\")\\n\\n# Launch Claude Code inside it\\nterminal(command=\\\"tmux send-keys -t claude-work 'cd /path/to/project && claude' Enter\\\")\\n\\n# Wait for startup, then send your task\\n# (after ~3-5 seconds for the welcome screen)\\nterminal(command=\\\"sleep 5 && tmux send-keys -t claude-work 'Refactor the auth module to use JWT tokens' Enter\\\")\\n\\n# Monitor progress by capturing the pane\\nterminal(command=\\\"sleep 15 && tmux capture-pane -t claude-work -p -S -50\\\")\\n\\n# Send follow-up tasks\\nterminal(command=\\\"tmux send-keys -t claude-work 'Now add unit tests for the new JWT code' Enter\\\")\\n\\n# Exit when done\\nterminal(command=\\\"tmux send-keys -t claude-work '/exit' Enter\\\")\\n```\\n\\n**When to use interactive mode:**\\n- Multi-turn iterative work (refactor → review → fix → test cycle)\\n- Tasks requiring human-in-the-loop decisions\\n- Exploratory coding sessions\\n- When you need to use Claude's slash commands (`/compact`, `/review`, `/model`)\\n\\n## PTY Dialog Handling (CRITICAL for Interactive Mode)\\n\\nClaude Code presents up to two confirmation dialogs on first launch. You MUST handle these via tmux send-keys:\\n\\n### Dialog 1: Workspace Trust (first visit to a directory)\\n```\\n❯ 1. Yes, I trust this folder    ← DEFAULT (just press Enter)\\n  2. No, exit\\n```\\n**Handling:** `tmux send-keys -t <session> Enter` — default selection is correct.\\n\\n### Dialog 2: Bypass Permissions Warning (only with --dangerously-skip-permissions)\\n```\\n❯ 1. No, exit                    ← DEFAULT (WRONG choice!)\\n  2. Yes, I accept\\n```\\n**Handling:** Must navigate DOWN first, then Enter:\\n```\\ntmux send-keys -t <session> Down && sleep 0.3 && tmux send-keys -t <session> Enter\\n```\\n\\n### Robust Dialog Handling Pattern\\n```\\n# Launch with permissions bypass\\nterminal(command=\\\"tmux send-keys -t claude-work 'claude --dangerously-skip-permissions \\\\\\\"your task\\\\\\\"' Enter\\\")\\n\\n# Handle trust dialog (Enter for default \\\"Yes\\\")\\nterminal(command=\\\"sleep 4 && tmux send-keys -t claude-work Enter\\\")\\n\\n# Handle permissions dialog (Down then Enter for \\\"Yes, I accept\\\")\\nterminal(command=\\\"sleep 3 && tmux send-keys -t claude-work Down && sleep 0.3 && tmux send-keys -t claude-work Enter\\\")\\n\\n# Now wait for Claude to work\\nterminal(command=\\\"sleep 15 && tmux capture-pane -t claude-work -p -S -60\\\")\\n```\\n\\n**Note:** After the first trust acceptance for a directory, the trust dialog won't appear again. Only the permissions dialog recurs each time you use `--dangerously-skip-permissions`.\\n\\n## CLI Subcommands\\n\\n| Subcommand | Purpose |\\n|------------|---------|\\n| `claude` | Start interactive REPL |\\n| `claude \\\"query\\\"` | Start REPL with initial prompt |\\n| `claude -p \\\"query\\\"` | Print mode (non-interactive, exits when done) |\\n| `cat file \\\\| claude -p \\\"query\\\"` | Pipe content as stdin context |\\n| `claude -c` | Continue the most recent conversation in this directory |\\n| `claude -r \\\"id\\\"` | Resume a specific session by ID or name |\\n| `claude auth login` | Sign in (add `--console` for API billing, `--sso` for Enterprise) |\\n| `claude auth status` | Check login status (returns JSON; `--text` for human-readable) |\\n| `claude mcp add <name> -- <cmd>` | Add an MCP server |\\n| `claude mcp list` | List configured MCP servers |\\n| `claude mcp remove <name>` | Remove an MCP server |\\n| `claude agents` | List configured agents |\\n| `claude doctor` | Run health checks on installation and auto-updater |\\n| `claude update` / `claude upgrade` | Update Claude Code to latest version |\\n| `claude remote-control` | Start server to control Claude from claude.ai or mobile app |\\n| `claude install [target]` | Install native build (stable, latest, or specific version) |\\n| `claude setup-token` | Set up long-lived auth token (requires subscription) |\\n| `claude plugin` / `claude plugins` | Manage Claude Code plugins |\\n| `claude auto-mode` | Inspect auto mode classifier configuration |\\n\\n## Print Mode Deep Dive\\n\\n### Structured JSON Output\\n```\\nterminal(command=\\\"claude -p 'Analyze auth.py for security issues' --output-format json --max-turns 5\\\", workdir=\\\"/project\\\", timeout=120)\\n```\\n\\nReturns a JSON object with:\\n```json\\n{\\n  \\\"type\\\": \\\"result\\\",\\n  \\\"subtype\\\": \\\"success\\\",\\n  \\\"result\\\": \\\"The analysis text...\\\",\\n  \\\"session_id\\\": \\\"75e2167f-...\\\",\\n  \\\"num_turns\\\": 3,\\n  \\\"total_cost_usd\\\": 0.0787,\\n  \\\"duration_ms\\\": 10276,\\n  \\\"stop_reason\\\": \\\"end_turn\\\",\\n  \\\"terminal_reason\\\": \\\"completed\\\",\\n  \\\"usage\\\": { \\\"input_tokens\\\": 5, \\\"output_tokens\\\": 603, ... },\\n  \\\"modelUsage\\\": { \\\"claude-sonnet-4-6\\\": { \\\"costUSD\\\": 0.078, \\\"contextWindow\\\": 200000 } }\\n}\\n```\\n\\n**Key fields:** `session_id` for resumption, `num_turns` for agentic loop count, `total_cost_usd` for spend tracking, `subtype` for success/error detection (`success`, `error_max_turns`, `error_budget`).\\n\\n### Streaming JSON Output\\nFor real-time token streaming, use `stream-json` with `--verbose`:\\n```\\nterminal(command=\\\"claude -p 'Write a summary' --output-format stream-json --verbose --include-partial-messages\\\", timeout=60)\\n```\\n\\nReturns newline-delimited JSON events. Filter with jq for live text:\\n```\\nclaude -p \\\"Explain X\\\" --output-format stream-json --verbose --include-partial-messages | \\\\\\n  jq -rj 'select(.type == \\\"stream_event\\\" and .event.delta.type? == \\\"text_delta\\\") | .event.delta.text'\\n```\\n\\nStream events include `system/api_retry` with `attempt`, `max_retries`, and `error` fields (e.g., `rate_limit`, `billing_error`).\\n\\n### Bidirectional Streaming\\nFor real-time input AND output streaming:\\n```\\nclaude -p \\\"task\\\" --input-format stream-json --output-format stream-json --replay-user-messages\\n```\\n`--replay-user-messages` re-emits user messages on stdout for acknowledgment.\\n\\n### Piped Input\\n```\\n# Pipe a file for analysis\\nterminal(command=\\\"cat src/auth.py | claude -p 'Review this code for bugs' --max-turns 1\\\", timeout=60)\\n\\n# Pipe multiple files\\nterminal(command=\\\"cat src/*.py | claude -p 'Find all TODO comments' --max-turns 1\\\", timeout=60)\\n\\n# Pipe command output\\nterminal(command=\\\"git diff HEAD~3 | claude -p 'Summarize these changes' --max-turns 1\\\", timeout=60)\\n```\\n\\n### JSON Schema for Structured Extraction\\n```\\nterminal(command=\\\"claude -p 'List all functions in src/' --output-format json --json-schema '{\\\\\\\"type\\\\\\\":\\\\\\\"object\\\\\\\",\\\\\\\"properties\\\\\\\":{\\\\\\\"functions\\\\\\\":{\\\\\\\"type\\\\\\\":\\\\\\\"array\\\\\\\",\\\\\\\"items\\\\\\\":{\\\\\\\"type\\\\\\\":\\\\\\\"string\\\\\\\"}}},\\\\\\\"required\\\\\\\":[\\\\\\\"functions\\\\\\\"]}' --max-turns 5\\\", workdir=\\\"/project\\\", timeout=90)\\n```\\n\\nParse `structured_output` from the JSON result. Claude validates output against the schema before returning.\\n\\n### Session Continuation\\n```\\n# Start a task\\nterminal(command=\\\"claude -p 'Start refactoring the database layer' --output-format json --max-turns 10 > /tmp/session.json\\\", workdir=\\\"/project\\\", timeout=180)\\n\\n# Resume with session ID\\nterminal(command=\\\"claude -p 'Continue and add connection pooling' --resume $(cat /tmp/session.json | python3 -c 'import json,sys; print(json.load(sys.stdin)[\\\\\\\"session_id\\\\\\\"])') --max-turns 5\\\", workdir=\\\"/project\\\", timeout=120)\\n\\n# Or resume the most recent session in the same directory\\nterminal(command=\\\"claude -p 'What did you do last time?' --continue --max-turns 1\\\", workdir=\\\"/project\\\", timeout=30)\\n\\n# Fork a session (new ID, keeps history)\\nterminal(command=\\\"claude -p 'Try a different approach' --resume <id> --fork-session --max-turns 10\\\", workdir=\\\"/project\\\", timeout=120)\\n```\\n\\n### Bare Mode for CI/Scripting\\n```\\nterminal(command=\\\"claude --bare -p 'Run all tests and report failures' --allowedTools 'Read,Bash' --max-turns 10\\\", workdir=\\\"/project\\\", timeout=180)\\n```\\n\\n`--bare` skips hooks, plugins, MCP discovery, and CLAUDE.md loading. Fastest startup. Requires `ANTHROPIC_API_KEY` (skips OAuth).\\n\\nTo selectively load context in bare mode:\\n| To load | Flag |\\n|---------|------|\\n| System prompt additions | `--append-system-prompt \\\"text\\\"` or `--append-system-prompt-file path` |\\n| Settings | `--settings <file-or-json>` |\\n| MCP servers | `--mcp-config <file-or-json>` |\\n| Custom agents | `--agents '<json>'` |\\n\\n### Fallback Model for Overload\\n```\\nterminal(command=\\\"claude -p 'task' --fallback-model haiku --max-turns 5\\\", timeout=90)\\n```\\nAutomatically falls back to the specified model when the default is overloaded (print mode only).\\n\\n## Complete CLI Flags Reference\\n\\n### Session & Environment\\n| Flag | Effect |\\n|------|--------|\\n| `-p, --print` | Non-interactive one-shot mode (exits when done) |\\n| `-c, --continue` | Resume most recent conversation in current directory |\\n| `-r, --resume <id>` | Resume specific session by ID or name (interactive picker if no ID) |\\n| `--fork-session` | When resuming, create new session ID instead of reusing original |\\n| `--session-id <uuid>` | Use a specific UUID for the conversation |\\n| `--no-session-persistence` | Don't save session to disk (print mode only) |\\n| `--add-dir <paths...>` | Grant Claude access to additional working directories |\\n| `-w, --worktree [name]` | Run in an isolated git worktree at `.claude/worktrees/<name>` |\\n| `--tmux` | Create a tmux session for the worktree (requires `--worktree`) |\\n| `--ide` | Auto-connect to a valid IDE on startup |\\n| `--chrome` / `--no-chrome` | Enable/disable Chrome browser integration for web testing |\\n| `--from-pr [number]` | Resume session linked to a specific GitHub PR |\\n| `--file <specs...>` | File resources to download at startup (format: `file_id:relative_path`) |\\n\\n### Model & Performance\\n| Flag | Effect |\\n|------|--------|\\n| `--model <alias>` | Model selection: `sonnet`, `opus`, `haiku`, or full name like `claude-sonnet-4-6` |\\n| `--effort <level>` | Reasoning depth: `low`, `medium`, `high`, `max`, `auto` | Both |\\n| `--max-turns <n>` | Limit agentic loops (print mode only; prevents runaway) |\\n| `--max-budget-usd <n>` | Cap API spend in dollars (print mode only) |\\n| `--fallback-model <model>` | Auto-fallback when default model is overloaded (print mode only) |\\n| `--betas <betas...>` | Beta headers to include in API requests (API key users only) |\\n\\n### Permission & Safety\\n| Flag | Effect |\\n|------|--------|\\n| `--dangerously-skip-permissions` | Auto-approve ALL tool use (file writes, bash, network, etc.) |\\n| `--allow-dangerously-skip-permissions` | Enable bypass as an *option* without enabling it by default |\\n| `--permission-mode <mode>` | `default`, `acceptEdits`, `plan`, `auto`, `dontAsk`, `bypassPermissions` |\\n| `--allowedTools <tools...>` | Whitelist specific tools (comma or space-separated) |\\n| `--disallowedTools <tools...>` | Blacklist specific tools |\\n| `--tools <tools...>` | Override built-in tool set (`\\\"\\\"` = none, `\\\"default\\\"` = all, or tool names) |\\n\\n### Output & Input Format\\n| Flag | Effect |\\n|------|--------|\\n| `--output-format <fmt>` | `text` (default), `json` (single result object), `stream-json` (newline-delimited) |\\n| `--input-format <fmt>` | `text` (default) or `stream-json` (real-time streaming input) |\\n| `--json-schema <schema>` | Force structured JSON output matching a schema |\\n| `--verbose` | Full turn-by-turn output |\\n| `--include-partial-messages` | Include partial message chunks as they arrive (stream-json + print) |\\n| `--replay-user-messages` | Re-emit user messages on stdout (stream-json bidirectional) |\\n\\n### System Prompt & Context\\n| Flag | Effect |\\n|------|--------|\\n| `--append-system-prompt <text>` | **Add** to the default system prompt (preserves built-in capabilities) |\\n| `--append-system-prompt-file <path>` | **Add** file contents to the default system prompt |\\n| `--system-prompt <text>` | **Replace** the entire system prompt (use --append instead usually) |\\n| `--system-prompt-file <path>` | **Replace** the system prompt with file contents |\\n| `--bare` | Skip hooks, plugins, MCP discovery, CLAUDE.md, OAuth (fastest startup) |\\n| `--agents '<json>'` | Define custom subagents dynamically as JSON |\\n| `--mcp-config <path>` | Load MCP servers from JSON file (repeatable) |\\n| `--strict-mcp-config` | Only use MCP servers from `--mcp-config`, ignoring all other MCP configs |\\n| `--settings <file-or-json>` | Load additional settings from a JSON file or inline JSON |\\n| `--setting-sources <sources>` | Comma-separated sources to load: `user`, `project`, `local` |\\n| `--plugin-dir <paths...>` | Load plugins from directories for this session only |\\n| `--disable-slash-commands` | Disable all skills/slash commands |\\n\\n### Debugging\\n| Flag | Effect |\\n|------|--------|\\n| `-d, --debug [filter]` | Enable debug logging with optional category filter (e.g., `\\\"api,hooks\\\"`, `\\\"!1p,!file\\\"`) |\\n| `--debug-file <path>` | Write debug logs to file (implicitly enables debug mode) |\\n\\n### Agent Teams\\n| Flag | Effect |\\n|------|--------|\\n| `--teammate-mode <mode>` | How agent teams display: `auto`, `in-process`, or `tmux` |\\n| `--brief` | Enable `SendUserMessage` tool for agent-to-user communication |\\n\\n### Tool Name Syntax for --allowedTools / --disallowedTools\\n```\\nRead                    # All file reading\\nEdit                    # File editing (existing files)\\nWrite                   # File creation (new files)\\nBash                    # All shell commands\\nBash(git *)             # Only git commands\\nBash(git commit *)      # Only git commit commands\\nBash(npm run lint:*)    # Pattern matching with wildcards\\nWebSearch               # Web search capability\\nWebFetch                # Web page fetching\\nmcp__<server>__<tool>   # Specific MCP tool\\n```\\n\\n## Settings & Configuration\\n\\n### Settings Hierarchy (highest to lowest priority)\\n1. **CLI flags** — override everything\\n2. **Local project:** `.claude/settings.local.json` (personal, gitignored)\\n3. **Project:** `.claude/settings.json` (shared, git-tracked)\\n4. **User:** `~/.claude/settings.json` (global)\\n\\n### Permissions in Settings\\n```json\\n{\\n  \\\"permissions\\\": {\\n    \\\"allow\\\": [\\\"Bash(npm run lint:*)\\\", \\\"WebSearch\\\", \\\"Read\\\"],\\n    \\\"ask\\\": [\\\"Write(*.ts)\\\", \\\"Bash(git push*)\\\"],\\n    \\\"deny\\\": [\\\"Read(.env)\\\", \\\"Bash(rm -rf *)\\\"]\\n  }\\n}\\n```\\n\\n### Memory Files (CLAUDE.md) Hierarchy\\n1. **Global:** `~/.claude/CLAUDE.md` — applies to all projects\\n2. **Project:** `./CLAUDE.md` — project-specific context (git-tracked)\\n3. **Local:** `.claude/CLAUDE.local.md` — personal project overrides (gitignored)\\n\\nUse the `#` prefix in interactive mode to quickly add to memory: `# Always use 2-space indentation`.\\n\\n## Interactive Session: Slash Commands\\n\\n### Session & Context\\n| Command | Purpose |\\n|---------|---------|\\n| `/help` | Show all commands (including custom and MCP commands) |\\n| `/compact [focus]` | Compress context to save tokens; CLAUDE.md survives compaction. E.g., `/compact focus on auth logic` |\\n| `/clear` | Wipe conversation history for a fresh start |\\n| `/context` | Visualize context usage as a colored grid with optimization tips |\\n| `/cost` | View token usage with per-model and cache-hit breakdowns |\\n| `/resume` | Switch to or resume a different session |\\n| `/rewind` | Revert to a previous checkpoint in conversation or code |\\n| `/btw <question>` | Ask a side question without adding to context cost |\\n| `/status` | Show version, connectivity, and session info |\\n| `/todos` | List tracked action items from the conversation |\\n| `/exit` or `Ctrl+D` | End session |\\n\\n### Development & Review\\n| Command | Purpose |\\n|---------|---------|\\n| `/review` | Request code review of current changes |\\n| `/security-review` | Perform security analysis of current changes |\\n| `/plan [description]` | Enter Plan mode with auto-start for task planning |\\n| `/loop [interval]` | Schedule recurring tasks within the session |\\n| `/batch` | Auto-create worktrees for large parallel changes (5-30 worktrees) |\\n\\n### Configuration & Tools\\n| Command | Purpose |\\n|---------|---------|\\n| `/model [model]` | Switch models mid-session (use arrow keys to adjust effort) |\\n| `/effort [level]` | Set reasoning effort: `low`, `medium`, `high`, `max`, or `auto` |\\n| `/init` | Create a CLAUDE.md file for project memory |\\n| `/memory` | Open CLAUDE.md for editing |\\n| `/config` | Open interactive settings configuration |\\n| `/permissions` | View/update tool permissions |\\n| `/agents` | Manage specialized subagents |\\n| `/mcp` | Interactive UI to manage MCP servers |\\n| `/add-dir` | Add additional working directories (useful for monorepos) |\\n| `/usage` | Show plan limits and rate limit status |\\n| `/voice` | Enable push-to-talk voice mode (20 languages; hold Space to record, release to send) |\\n| `/release-notes` | Interactive picker for version release notes |\\n\\n### Custom Slash Commands\\nCreate `.claude/commands/<name>.md` (project-shared) or `~/.claude/commands/<name>.md` (personal):\\n\\n```markdown\\n# .claude/commands/deploy.md\\nRun the deploy pipeline:\\n1. Run all tests\\n2. Build the Docker image\\n3. Push to registry\\n4. Update the $ARGUMENTS environment (default: staging)\\n```\\n\\nUsage: `/deploy production` — `$ARGUMENTS` is replaced with the user's input.\\n\\n### Skills (Natural Language Invocation)\\nUnlike slash commands (manually invoked), skills in `.claude/skills/` are markdown guides that Claude invokes automatically via natural language when the task matches:\\n\\n```markdown\\n# .claude/skills/database-migration.md\\nWhen asked to create or modify database migrations:\\n1. Use Alembic for migration generation\\n2. Always create a rollback function\\n3. Test migrations against a local database copy\\n```\\n\\n## Interactive Session: Keyboard Shortcuts\\n\\n### General Controls\\n| Key | Action |\\n|-----|--------|\\n| `Ctrl+C` | Cancel current input or generation |\\n| `Ctrl+D` | Exit session |\\n| `Ctrl+R` | Reverse search command history |\\n| `Ctrl+B` | Background a running task |\\n| `Ctrl+V` | Paste image into conversation |\\n| `Ctrl+O` | Transcript mode — see Claude's thinking process |\\n| `Ctrl+G` or `Ctrl+X Ctrl+E` | Open prompt in external editor |\\n| `Esc Esc` | Rewind conversation or code state / summarize |\\n\\n### Mode Toggles\\n| Key | Action |\\n|-----|--------|\\n| `Shift+Tab` | Cycle permission modes (Normal → Auto-Accept → Plan) |\\n| `Alt+P` | Switch model |\\n| `Alt+T` | Toggle thinking mode |\\n| `Alt+O` | Toggle Fast Mode |\\n\\n### Multiline Input\\n| Key | Action |\\n|-----|--------|\\n| `\\\\` + `Enter` | Quick newline |\\n| `Shift+Enter` | Newline (alternative) |\\n| `Ctrl+J` | Newline (alternative) |\\n\\n### Input Prefixes\\n| Prefix | Action |\\n|--------|--------|\\n| `!` | Execute bash directly, bypassing AI (e.g., `!npm test`). Use `!` alone to toggle shell mode. |\\n| `@` | Reference files/directories with autocomplete (e.g., `@./src/api/`) |\\n| `#` | Quick add to CLAUDE.md memory (e.g., `# Use 2-space indentation`) |\\n| `/` | Slash commands |\\n\\n### Pro Tip: \\\"ultrathink\\\"\\nUse the keyword \\\"ultrathink\\\" in your prompt for maximum reasoning effort on a specific turn. This triggers the deepest thinking mode regardless of the current `/effort` setting.\\n\\n## PR Review Pattern\\n\\n### Quick Review (Print Mode)\\n```\\nterminal(command=\\\"cd /path/to/repo && git diff main...feature-branch | claude -p 'Review this diff for bugs, security issues, and style problems. Be thorough.' --max-turns 1\\\", timeout=60)\\n```\\n\\n### Deep Review (Interactive + Worktree)\\n```\\nterminal(command=\\\"tmux new-session -d -s review -x 140 -y 40\\\")\\nterminal(command=\\\"tmux send-keys -t review 'cd /path/to/repo && claude -w pr-review' Enter\\\")\\nterminal(command=\\\"sleep 5 && tmux send-keys -t review Enter\\\")  # Trust dialog\\nterminal(command=\\\"sleep 2 && tmux send-keys -t review 'Review all changes vs main. Check for bugs, security issues, race conditions, and missing tests.' Enter\\\")\\nterminal(command=\\\"sleep 30 && tmux capture-pane -t review -p -S -60\\\")\\n```\\n\\n### PR Review from Number\\n```\\nterminal(command=\\\"claude -p 'Review this PR thoroughly' --from-pr 42 --max-turns 10\\\", workdir=\\\"/path/to/repo\\\", timeout=120)\\n```\\n\\n### Claude Worktree with tmux\\n```\\nterminal(command=\\\"claude -w feature-x --tmux\\\", workdir=\\\"/path/to/repo\\\")\\n```\\nCreates an isolated git worktree at `.claude/worktrees/feature-x` AND a tmux session for it. Uses iTerm2 native panes when available; add `--tmux=classic` for traditional tmux.\\n\\n## Parallel Claude Instances\\n\\nRun multiple independent Claude tasks simultaneously:\\n\\n```\\n# Task 1: Fix backend\\nterminal(command=\\\"tmux new-session -d -s task1 -x 140 -y 40 && tmux send-keys -t task1 'cd ~/project && claude -p \\\\\\\"Fix the auth bug in src/auth.py\\\\\\\" --allowedTools \\\\\\\"Read,Edit\\\\\\\" --max-turns 10' Enter\\\")\\n\\n# Task 2: Write tests\\nterminal(command=\\\"tmux new-session -d -s task2 -x 140 -y 40 && tmux send-keys -t task2 'cd ~/project && claude -p \\\\\\\"Write integration tests for the API endpoints\\\\\\\" --allowedTools \\\\\\\"Read,Write,Bash\\\\\\\" --max-turns 15' Enter\\\")\\n\\n# Task 3: Update docs\\nterminal(command=\\\"tmux new-session -d -s task3 -x 140 -y 40 && tmux send-keys -t task3 'cd ~/project && claude -p \\\\\\\"Update README.md with the new API endpoints\\\\\\\" --allowedTools \\\\\\\"Read,Edit\\\\\\\" --max-turns 5' Enter\\\")\\n\\n# Monitor all\\nterminal(command=\\\"sleep 30 && for s in task1 task2 task3; do echo '=== '$s' ==='; tmux capture-pane -t $s -p -S -5 2>/dev/null; done\\\")\\n```\\n\\n## CLAUDE.md — Project Context File\\n\\nClaude Code auto-loads `CLAUDE.md` from the project root. Use it to persist project context:\\n\\n```markdown\\n# Project: My API\\n\\n## Architecture\\n- FastAPI backend with SQLAlchemy ORM\\n- PostgreSQL database, Redis cache\\n- pytest for testing with 90% coverage target\\n\\n## Key Commands\\n- `make test` — run full test suite\\n- `make lint` — ruff + mypy\\n- `make dev` — start dev server on :8000\\n\\n## Code Standards\\n- Type hints on all public functions\\n- Docstrings in Google style\\n- 2-space indentation for YAML, 4-space for Python\\n- No wildcard imports\\n```\\n\\n**Be specific.** Instead of \\\"Write good code\\\", use \\\"Use 2-space indentation for JS\\\" or \\\"Name test files with `.test.ts` suffix.\\\" Specific instructions save correction cycles.\\n\\n### Rules Directory (Modular CLAUDE.md)\\nFor projects with many rules, use the rules directory instead of one massive CLAUDE.md:\\n- **Project rules:** `.claude/rules/*.md` — team-shared, git-tracked\\n- **User rules:** `~/.claude/rules/*.md` — personal, global\\n\\nEach `.md` file in the rules directory is loaded as additional context. This is cleaner than cramming everything into a single CLAUDE.md.\\n\\n### Auto-Memory\\nClaude automatically stores learned project context in `~/.claude/projects/<project>/memory/`.\\n- **Limit:** 25KB or 200 lines per project\\n- This is separate from CLAUDE.md — it's Claude's own notes about the project, accumulated across sessions\\n\\n## Custom Subagents\\n\\nDefine specialized agents in `.claude/agents/` (project), `~/.claude/agents/` (personal), or via `--agents` CLI flag (session):\\n\\n### Agent Location Priority\\n1. `.claude/agents/` — project-level, team-shared\\n2. `--agents` CLI flag — session-specific, dynamic\\n3. `~/.claude/agents/` — user-level, personal\\n\\n### Creating an Agent\\n```markdown\\n# .claude/agents/security-reviewer.md\\n---\\nname: security-reviewer\\ndescription: Security-focused code review\\nmodel: opus\\ntools: [Read, Bash]\\n---\\nYou are a senior security engineer. Review code for:\\n- Injection vulnerabilities (SQL, XSS, command injection)\\n- Authentication/authorization flaws\\n- Secrets in code\\n- Unsafe deserialization\\n```\\n\\nInvoke via: `@security-reviewer review the auth module`\\n\\n### Dynamic Agents via CLI\\n```\\nterminal(command=\\\"claude --agents '{\\\\\\\"reviewer\\\\\\\": {\\\\\\\"description\\\\\\\": \\\\\\\"Reviews code\\\\\\\", \\\\\\\"prompt\\\\\\\": \\\\\\\"You are a code reviewer focused on performance\\\\\\\"}}' -p 'Use @reviewer to check auth.py'\\\", timeout=120)\\n```\\n\\nClaude can orchestrate multiple agents: \\\"Use @db-expert to optimize queries, then @security to audit the changes.\\\"\\n\\n## Hooks — Automation on Events\\n\\nConfigure in `.claude/settings.json` (project) or `~/.claude/settings.json` (global):\\n\\n```json\\n{\\n  \\\"hooks\\\": {\\n    \\\"PostToolUse\\\": [{\\n      \\\"matcher\\\": \\\"Write(*.py)\\\",\\n      \\\"hooks\\\": [{\\\"type\\\": \\\"command\\\", \\\"command\\\": \\\"ruff check --fix $CLAUDE_FILE_PATHS\\\"}]\\n    }],\\n    \\\"PreToolUse\\\": [{\\n      \\\"matcher\\\": \\\"Bash\\\",\\n      \\\"hooks\\\": [{\\\"type\\\": \\\"command\\\", \\\"command\\\": \\\"if echo \\\\\\\"$CLAUDE_TOOL_INPUT\\\\\\\" | grep -q 'rm -rf'; then echo 'Blocked!' && exit 2; fi\\\"}]\\n    }],\\n    \\\"Stop\\\": [{\\n      \\\"hooks\\\": [{\\\"type\\\": \\\"command\\\", \\\"command\\\": \\\"echo 'Claude finished a response' >> /tmp/claude-activity.log\\\"}]\\n    }]\\n  }\\n}\\n```\\n\\n### All 8 Hook Types\\n| Hook | When it fires | Common use |\\n|------|--------------|------------|\\n| `UserPromptSubmit` | Before Claude processes a user prompt | Input validation, logging |\\n| `PreToolUse` | Before tool execution | Security gates, block dangerous commands (exit 2 = block) |\\n| `PostToolUse` | After a tool finishes | Auto-format code, run linters |\\n| `Notification` | On permission requests or input waits | Desktop notifications, alerts |\\n| `Stop` | When Claude finishes a response | Completion logging, status updates |\\n| `SubagentStop` | When a subagent completes | Agent orchestration |\\n| `PreCompact` | Before context memory is cleared | Backup session transcripts |\\n| `SessionStart` | When a session begins | Load dev context (e.g., `git status`) |\\n\\n### Hook Environment Variables\\n| Variable | Content |\\n|----------|---------|\\n| `CLAUDE_PROJECT_DIR` | Current project path |\\n| `CLAUDE_FILE_PATHS` | Files being modified |\\n| `CLAUDE_TOOL_INPUT` | Tool parameters as JSON |\\n\\n### Security Hook Examples\\n```json\\n{\\n  \\\"PreToolUse\\\": [{\\n    \\\"matcher\\\": \\\"Bash\\\",\\n    \\\"hooks\\\": [{\\\"type\\\": \\\"command\\\", \\\"command\\\": \\\"if echo \\\\\\\"$CLAUDE_TOOL_INPUT\\\\\\\" | grep -qE 'rm -rf|git push.*--force|:(){ :|:& };:'; then echo 'Dangerous command blocked!' && exit 2; fi\\\"}]\\n  }]\\n}\\n```\\n\\n## MCP Integration\\n\\nAdd external tool servers for databases, APIs, and services:\\n\\n```\\n# GitHub integration\\nterminal(command=\\\"claude mcp add -s user github -- npx @modelcontextprotocol/server-github\\\", timeout=30)\\n\\n# PostgreSQL queries\\nterminal(command=\\\"claude mcp add -s local postgres -- npx @anthropic-ai/server-postgres --connection-string postgresql://localhost/mydb\\\", timeout=30)\\n\\n# Puppeteer for web testing\\nterminal(command=\\\"claude mcp add puppeteer -- npx @anthropic-ai/server-puppeteer\\\", timeout=30)\\n```\\n\\n### MCP Scopes\\n| Flag | Scope | Storage |\\n|------|-------|---------|\\n| `-s user` | Global (all projects) | `~/.claude.json` |\\n| `-s local` | This project (personal) | `.claude/settings.local.json` (gitignored) |\\n| `-s project` | This project (team-shared) | `.claude/settings.json` (git-tracked) |\\n\\n### MCP in Print/CI Mode\\n```\\nterminal(command=\\\"claude --bare -p 'Query database' --mcp-config mcp-servers.json --strict-mcp-config\\\", timeout=60)\\n```\\n`--strict-mcp-config` ignores all MCP servers except those from `--mcp-config`.\\n\\nReference MCP resources in chat: `@github:issue://123`\\n\\n### MCP Limits & Tuning\\n- **Tool descriptions:** 2KB cap per server for tool descriptions and server instructions\\n- **Result size:** Default capped; use `maxResultSizeChars` annotation to allow up to **500K** characters for large outputs\\n- **Output tokens:** `export MAX_MCP_OUTPUT_TOKENS=50000` — cap output from MCP servers to prevent context flooding\\n- **Transports:** `stdio` (local process), `http` (remote), `sse` (server-sent events)\\n\\n## Monitoring Interactive Sessions\\n\\n### Reading the TUI Status\\n```\\n# Periodic capture to check if Claude is still working or waiting for input\\nterminal(command=\\\"tmux capture-pane -t dev -p -S -10\\\")\\n```\\n\\nLook for these indicators:\\n- `❯` at bottom = waiting for your input (Claude is done or asking a question)\\n- `●` lines = Claude is actively using tools (reading, writing, running commands)\\n- `⏵⏵ bypass permissions on` = status bar showing permissions mode\\n- `◐ medium · /effort` = current effort level in status bar\\n- `ctrl+o to expand` = tool output was truncated (can be expanded interactively)\\n\\n### Context Window Health\\nUse `/context` in interactive mode to see a colored grid of context usage. Key thresholds:\\n- **< 70%** — Normal operation, full precision\\n- **70-85%** — Precision starts dropping, consider `/compact`\\n- **> 85%** — Hallucination risk spikes significantly, use `/compact` or `/clear`\\n\\n## Environment Variables\\n\\n| Variable | Effect |\\n|----------|--------|\\n| `ANTHROPIC_API_KEY` | API key for authentication (alternative to OAuth) |\\n| `CLAUDE_CODE_EFFORT_LEVEL` | Default effort: `low`, `medium`, `high`, `max`, or `auto` |\\n| `MAX_THINKING_TOKENS` | Cap thinking tokens (set to `0` to disable thinking entirely) |\\n| `MAX_MCP_OUTPUT_TOKENS` | Cap output from MCP servers (default varies; set e.g., `50000`) |\\n| `CLAUDE_CODE_NO_FLICKER=1` | Enable alt-screen rendering to eliminate terminal flicker |\\n| `CLAUDE_CODE_SUBPROCESS_ENV_SCRUB` | Strip credentials from sub-processes for security |\\n\\n## Cost & Performance Tips\\n\\n1. **Use `--max-turns`** in print mode to prevent runaway loops. Start with 5-10 for most tasks.\\n2. **Use `--max-budget-usd`** for cost caps. Note: minimum ~$0.05 for system prompt cache creation.\\n3. **Use `--effort low`** for simple tasks (faster, cheaper). `high` or `max` for complex reasoning.\\n4. **Use `--bare`** for CI/scripting to skip plugin/hook discovery overhead.\\n5. **Use `--allowedTools`** to restrict to only what's needed (e.g., `Read` only for reviews).\\n6. **Use `/compact`** in interactive sessions when context gets large.\\n7. **Pipe input** instead of having Claude read files when you just need analysis of known content.\\n8. **Use `--model haiku`** for simple tasks (cheaper) and `--model opus` for complex multi-step work.\\n9. **Use `--fallback-model haiku`** in print mode to gracefully handle model overload.\\n10. **Start new sessions for distinct tasks** — sessions last 5 hours; fresh context is more efficient.\\n11. **Use `--no-session-persistence`** in CI to avoid accumulating saved sessions on disk.\\n\\n## Pitfalls & Gotchas\\n\\n1. **Interactive mode REQUIRES tmux** — Claude Code is a full TUI app. Using `pty=true` alone in Hermes terminal works but tmux gives you `capture-pane` for monitoring and `send-keys` for input, which is essential for orchestration.\\n2. **`--dangerously-skip-permissions` dialog defaults to \\\"No, exit\\\"** — you must send Down then Enter to accept. Print mode (`-p`) skips this entirely.\\n3. **`--max-budget-usd` minimum is ~$0.05** — system prompt cache creation alone costs this much. Setting lower will error immediately.\\n4. **`--max-turns` is print-mode only** — ignored in interactive sessions.\\n5. **Claude may use `python` instead of `python3`** — on systems without a `python` symlink, Claude's bash commands will fail on first try but it self-corrects.\\n6. **Session resumption requires same directory** — `--continue` finds the most recent session for the current working directory.\\n7. **`--json-schema` needs enough `--max-turns`** — Claude must read files before producing structured output, which takes multiple turns.\\n8. **Trust dialog only appears once per directory** — first-time only, then cached.\\n9. **Background tmux sessions persist** — always clean up with `tmux kill-session -t <name>` when done.\\n10. **Slash commands (like `/commit`) only work in interactive mode** — in `-p` mode, describe the task in natural language instead.\\n11. **`--bare` skips OAuth** — requires `ANTHROPIC_API_KEY` env var or an `apiKeyHelper` in settings.\\n12. **Context degradation is real** — AI output quality measurably degrades above 70% context window usage. Monitor with `/context` and proactively `/compact`.\\n13. **External files in print mode need `--add-dir` + `--permission-mode bypassPermissions`** — even in non-interactive `-p` mode, Claude Code prompts for permission when accessing files outside the current working directory. Combine both flags for truly headless operation on external paths. `--add-dir` alone isn't enough; `--permission-mode bypassPermissions` alone doesn't grant directory access. Example: `ccr code --add-dir /path/to/project --permission-mode bypassPermissions -p \\\"Analyze the code\\\"`\\n14. **Through CCR, use `ccr code` not raw `claude`** — raw `claude` with `ANTHROPIC_BASE_URL` env var will trigger OAuth login checks (\\\"Not logged in. Please run /login\\\"). Always use `ccr code` to launch Claude Code through the router.\\n15. **Headless/background runs need `TERM=dumb` + stdin redirect** — without `TERM=dumb`, tput errors (\\\"No value for $TERM and no -T specified\\\") pollute output. Without `< /dev/null`, Claude Code waits for stdin and warns \\\"no stdin data received.\\\" Always use: `TERM=dumb ccr code -p \\\"task\\\" < /dev/null`.\\n16. **`delegate_task` can't find `claude` on ZimaOS** — the Hermes subprocess inherits system PATH, not `/DATA/.local/npm-global/bin/`. Use `terminal` directly with explicit PATH export + `HOME=/DATA/.local`, or symlink binaries into `/usr/bin/`.\\n\\n## Rules for Hermes Agents\\n\\n1. **Prefer print mode (`-p`) for single tasks** — cleaner, no dialog handling, structured output\\n2. **Use tmux for multi-turn interactive work** — the only reliable way to orchestrate the TUI\\n3. **Always set `workdir`** — keep Claude focused on the right project directory\\n4. **Set `--max-turns` in print mode** — prevents infinite loops and runaway costs\\n5. **Monitor tmux sessions** — use `tmux capture-pane -t <session> -p -S -50` to check progress\\n6. **Look for the `❯` prompt** — indicates Claude is waiting for input (done or asking a question)\\n7. **Clean up tmux sessions** — kill them when done to avoid resource leaks\\n8. **Report results to user** — after completion, summarize what Claude did and what changed\\n9. **Don't kill slow sessions** — Claude may be doing multi-step work; check progress instead\\n10. **Use `--allowedTools`** — restrict capabilities to what the task actually needs\\n\", \"path\": \"autonomous-ai-agents/claude-code/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/autonomous-ai-agents/claude-code\", \"linked_files\": {\"references\": [\"references/claude-code-router.md\"], \"templates\": [\"templates/kiwi-proxy.py\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"Coding-Agent\", \"Claude\", \"Anthropic\", \"Code-Review\", \"Refactoring\", \"PTY\", \"Automation\"], \"related_skills\": [\"hermes-agent\", \"opencode\"]}}}",
      "tool_call_id": "call_xiz0nw41"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Let me review the conversation so far. The user asked me to review the conversation and update the skill library. Let me look at what happened in this session:\n\n1. The user asked me about subagents and I explained the concept\n2. They asked if we've used them before - this led to me reviewing session history\n\nBut the big learning from the compaction summary is about the Claude Code setup work that happened before - specifically:\n\n1. **Claude Code is a native ELF binary** - it ignores ENV variables like `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY`\n2. **The binary has `api.anthropic.com` hardcoded** 60 times - no env var override possible\n3. **The approach changed to hosts-based redirect** - `127.0.0.1 api.anthropic.com` in `/etc/hosts`\n4. **CCR v2 was discarded** due to provider parsing bugs\n5. **A custom proxy (kiwi-proxy)** was built and proved working\n\nThese are significant learnings that need to be captured. Let me look at the existing skill:\n\nThe `claude-code` skill mentions CCR (`references/claude-code-router.md`) and has pitfalls including:\n- \"Through CCR, use `ccr code` not raw `claude`\"\n- \"Headless/background runs need `TERM=dumb` + stdin redirect\"\n\nBut there are NEW learnings:\n1. The native binary behavior (ignores ENV, hardcodes api.anthropic.com)\n2. Hosts-based redirect as a workaround for the native binary\n3. `openssl` might not be available on ZimaOS\n\nLet me also check the `claude-code-router.md` reference to see what needs updating:",
      "finish_reason": "tool_calls",
      "reasoning_content": "Let me review the conversation so far. The user asked me to review the conversation and update the skill library. Let me look at what happened in this session:\n\n1. The user asked me about subagents and I explained the concept\n2. They asked if we've used them before - this led to me reviewing session history\n\nBut the big learning from the compaction summary is about the Claude Code setup work that happened before - specifically:\n\n1. **Claude Code is a native ELF binary** - it ignores ENV variables like `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY`\n2. **The binary has `api.anthropic.com` hardcoded** 60 times - no env var override possible\n3. **The approach changed to hosts-based redirect** - `127.0.0.1 api.anthropic.com` in `/etc/hosts`\n4. **CCR v2 was discarded** due to provider parsing bugs\n5. **A custom proxy (kiwi-proxy)** was built and proved working\n\nThese are significant learnings that need to be captured. Let me look at the existing skill:\n\nThe `claude-code` skill mentions CCR (`references/claude-code-router.md`) and has pitfalls including:\n- \"Through CCR, use `ccr code` not raw `claude`\"\n- \"Headless/background runs need `TERM=dumb` + stdin redirect\"\n\nBut there are NEW learnings:\n1. The native binary behavior (ignores ENV, hardcodes api.anthropic.com)\n2. Hosts-based redirect as a workaround for the native binary\n3. `openssl` might not be available on ZimaOS\n\nLet me also check the `claude-code-router.md` reference to see what needs updating:",
      "tool_calls": [
        {
          "id": "call_zl0f3bl2",
          "call_id": "call_zl0f3bl2",
          "response_item_id": "fc_zl0f3bl2",
          "type": "function",
          "function": {
            "name": "skill_view",
            "arguments": "{\"name\":\"claude-code\",\"file_path\":\"references/claude-code-router.md\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "skill_view",
      "content": "{\"success\": true, \"name\": \"claude-code\", \"file\": \"references/claude-code-router.md\", \"content\": \"# Claude Code Router — Multi-Provider Backend for Claude Code\\n\\nclaude-code-router (CCR) is a transparent proxy that lets Claude Code's agent harness run with **any LLM backend** instead of Anthropic's models. Claude Code thinks it's talking to Anthropic — CCR intercepts and routes to your chosen provider.\\n\\nRepo: https://github.com/musistudio/claude-code-router (~34k stars, TypeScript, actively maintained)\\n\\n## Architecture\\n\\n```\\nClaude Code (Harness) → CCR (Proxy :3456) → Your Model (OpenAI-compatible API)\\n       ↓                        ↓\\n  Tool-Use, Agent-Loop    Transformer: Anthropic-Stream ↔ OpenAI-Stream\\n  Subagents, Permissions  Router: task-type → best model\\n```\\n\\nClaude Code is none the wiser. The full agent experience (tool-use, subagents, plan mode, background tasks) works with any OpenAI-compatible endpoint.\\n\\n## Installation\\n\\nRequires Node.js ≥18 and Claude Code already installed.\\n\\n```bash\\nnpm install -g @musistudio/claude-code-router\\n```\\n\\nVerify: `ccr --version`\\n\\n## Router Concept — Task-Type → Model Mapping\\n\\nCCR can route different Claude Code task types to different models:\\n\\n| Router Key | Claude Code Feature | Best Model Strategy |\\n|---|---|---|\\n| `default` | General coding tasks | Fast, capable model |\\n| `think` | Plan Mode / Reasoning | Strongest reasoning model |\\n| `background` | Background tasks | Cheap/fast model |\\n| `longContext` | Sessions > threshold tokens | High-context-window model |\\n| `webSearch` | Web search tasks | Model with search support |\\n| `image` | Image-related tasks | Vision-capable model |\\n\\nDynamic switching in-session: `/model provider_name,model_name`\\n\\n## Configuration (`~/.claude-code-router/config.json`)\\n\\n### Minimal Example (Ollama Cloud)\\n\\n```json\\n{\\n  \\\"Providers\\\": [{\\n    \\\"name\\\": \\\"ollama\\\",\\n    \\\"api_base_url\\\": \\\"https://ollama.com/v1/chat/completions\\\",\\n    \\\"api_key\\\": \\\"your-api-key\\\",\\n    \\\"models\\\": [\\\"deepseek-v4-pro\\\", \\\"kimi-k2.6\\\", \\\"gemma3:4b\\\"],\\n    \\\"transformer\\\": {\\n      \\\"use\\\": [\\\"deepseek\\\"],\\n      \\\"deepseek-v4-pro\\\": {\\n        \\\"use\\\": [[\\\"maxtoken\\\", {\\\"max_tokens\\\": 65536}]]\\n      }\\n    }\\n  }],\\n  \\\"Router\\\": {\\n    \\\"default\\\": \\\"ollama,deepseek-v4-pro\\\",\\n    \\\"think\\\": \\\"ollama,kimi-k2.6\\\",\\n    \\\"background\\\": \\\"ollama,gemma3:4b\\\",\\n    \\\"longContext\\\": \\\"ollama,kimi-k2.6\\\"\\n  }\\n}\\n```\\n\\n### Key Config Sections\\n\\n- **`Providers[]`** — Each provider: name, api_base_url, api_key, models, optional transformer\\n- **`Router`** — Maps task types to `provider,model`\\n- **`APIKEY`** (optional) — If set, clients must provide Authorization header. Without it, HOST is forced to 127.0.0.1.\\n- **`HOST`** (optional) — Set to `\\\"0.0.0.0\\\"` for LAN access (requires APIKEY set)\\n- **`API_TIMEOUT_MS`** — API call timeout (default: 600000)\\n- **`NON_INTERACTIVE_MODE`** — Set true for CI/GitHub Actions/Docker\\n\\n### Available Transformers\\n\\nTransformers adapt Anthropic's API format ↔ provider format:\\n- `deepseek` — DeepSeek/Ollama/OpenAI-compatible APIs\\n- `gemini` — Google Gemini API\\n- `openrouter` — OpenRouter (with provider routing support)\\n- `groq` — Groq API\\n- `anthropic` — Direct Anthropic (passthrough)\\n- `maxtoken` — Cap `max_tokens` (accepts options: `{\\\"max_tokens\\\": 16384}`)\\n- `tooluse` — Optimize tool_choice for certain models\\n- `reasoning` — Handle `reasoning_content` field\\n- `sampling` — Handle temperature/top_p/top_k/repetition_penalty\\n- `enhancetool` — Error tolerance for tool call params (disables streaming tool calls)\\n- `cleancache` — Remove `cache_control` from requests\\n\\n### Environment Variable Interpolation\\n\\nUse `$VAR` or `${VAR}` in config for secrets:\\n```json\\n{ \\\"Providers\\\": [{\\\"api_key\\\": \\\"$OPENAI_API_KEY\\\"}] }\\n```\\n\\n## Running Claude Code with CCR\\n\\n### Method 1: `ccr code` (simplest)\\n\\n```bash\\nccr code                    # Interactive session\\nccr code -p \\\"Fix the bug\\\"   # Print mode (one-shot)\\n```\\n\\n### Method 2: `ccr activate` (global override)\\n\\n```bash\\neval \\\"$(ccr activate)\\\"      # Sets ANTHROPIC_BASE_URL etc.\\nclaude                      # Now routes through CCR\\n```\\n\\nThis sets: `ANTHROPIC_AUTH_TOKEN`, `ANTHROPIC_BASE_URL=http://127.0.0.1:3456`, `NO_PROXY=127.0.0.1`\\n\\n### Method 3: Manual env vars\\n\\n```bash\\nANTHROPIC_BASE_URL=\\\"http://127.0.0.1:3456\\\" ANTHROPIC_AUTH_KEY=\\\"any\\\" claude -p \\\"task\\\"\\n```\\n\\n⚠️ This may trigger Claude Code's OAuth login check. Use `ccr code` instead.\\n\\n## Subagent Routing\\n\\nPrefix subagent prompts with a model directive:\\n```\\n<CCR-SUBAGENT-MODEL>provider,model</CCR-SUBAGENT-MODEL>\\nYour prompt here...\\n```\\n\\n## ZimaOS / Read-Only Filesystem Setup\\n\\nZimaOS has `/DATA` as `$HOME` but it's read-only for non-root users. Workarounds:\\n\\n1. **Node.js**: Install to `/DATA/.local/nodejs/` (download tarball, extract, add to PATH)\\n2. **npm**: Set cache/prefix to writable paths via env vars:\\n   ```bash\\n   export npm_config_cache=\\\"/DATA/.local/npm-cache\\\"\\n   export npm_config_prefix=\\\"/DATA/.local/npm-global\\\"\\n   ```\\n3. **CCR config location**: CCR reads from `~/.claude-code-router/`. Override HOME:\\n   ```bash\\n   mkdir -p /DATA/.local/.claude-code-router\\n   cp config.json /DATA/.local/.claude-code-router/\\n   HOME=/DATA/.local ccr start\\n   ```\\n4. **Systemd service**: Use `Environment=\\\"HOME=/DATA/.local\\\"` in the unit file\\n5. **Interactive env**: Source `/DATA/.local/hermes-env.sh` for PATH + aliases\\n\\n### Systemd Service Template\\n\\n```ini\\n[Unit]\\nDescription=Claude Code Router\\nAfter=network-online.target\\nWants=network-online.target\\n\\n[Service]\\nType=simple\\nUser=az-a\\nGroup=samba\\nEnvironment=\\\"PATH=/DATA/.local/nodejs/bin:/DATA/.local/npm-global/bin:/usr/bin:/bin\\\"\\nEnvironment=\\\"HOME=/DATA/.local\\\"\\nEnvironment=\\\"npm_config_cache=/DATA/.local/npm-cache\\\"\\nEnvironment=\\\"npm_config_prefix=/DATA/.local/npm-global\\\"\\nExecStart=/DATA/.local/npm-global/bin/ccr start\\nExecStop=/DATA/.local/npm-global/bin/ccr stop\\nRestart=on-failure\\nRestartSec=5\\n\\n[Install]\\nWantedBy=multi-user.target\\n```\\n\\n## CLI Reference\\n\\n| Command | Purpose |\\n|---------|---------|\\n| `ccr start` | Start the proxy server (background) |\\n| `ccr stop` | Stop the server |\\n| `ccr restart` | Restart (pick up config changes) |\\n| `ccr status` | Show server status |\\n| `ccr code` | Launch Claude Code through the router |\\n| `ccr model` | Interactive model picker |\\n| `ccr ui` | Web-based config editor |\\n| `ccr activate` | Output shell env vars for integration |\\n| `ccr preset export/install/list` | Manage config presets |\\n\\n## Verification\\n\\nAfter starting, check health:\\n```bash\\ncurl http://127.0.0.1:3456/health   # → {\\\"status\\\":\\\"ok\\\",...}\\n```\\n\\nAnd check logs for model identity:\\n```bash\\ngrep '\\\"model\\\"' ~/.claude-code-router/logs/ccr-*.log\\n# Should show your configured model name, not \\\"claude\\\"\\n```\\n\\n## CCR v2.0.0 — Known Bug with Ollama Cloud Pro\\n\\n**CCR v2.0.0 has a confirmed \\\"Provider 'undefined' not found\\\" bug** (`code: provider_not_found`) when routing to Ollama Cloud Pro (`https://ollama.com/v1`). The bug persists regardless of:\\n\\n- Config format (api_base_url with or without `/chat/completions`)\\n- Model name format (`deepseek-v4-pro` vs `ollama,deepseek-v4-pro`)\\n- Clean reinstall with fresh config\\n- Direct Node execution vs systemd service\\n\\n**Evidence:** Health endpoint returns OK, process starts cleanly, but any `/v1/chat/completions` request returns `provider_not_found`. The provider is registered in config but the router internally resolves it to `undefined`.\\n\\n**Workaround — Kiwi Proxy:** A lightweight Python proxy (FastAPI + httpx) that translates Anthropic Messages API → OpenAI Chat Completions. See `templates/kiwi-proxy.py` for the full implementation. It:\\n\\n- Listens on port 3456 (same as CCR would)\\n- Converts Anthropic message format to OpenAI format\\n- Maps Claude model names to your Ollama models\\n- Runs as a systemd service with auto-restart\\n- Works with Claude Code via `ANTHROPIC_BASE_URL=http://localhost:3456 ANTHROPIC_API_KEY=kiwi-ccr-local`\\n\\n**⚠️ Unresolved:** When Claude Code v2.1.145 connects via this proxy, it successfully sends requests and receives responses (confirmed in proxy logs — 42 tokens returned), but the CLI outputs nothing (exit code 0, no text). Root cause still under investigation. Might require: streaming mode, `/v1/models` endpoint, or specific response header format.\\n\\n## Pitfalls\\n\\n- **Ollama Cloud Pro limits 3 concurrent models.** If Hermes Gateway is using deepseek-v4-pro for an active chat session, CCR may silently fall back to another configured model (e.g. kimi-k2.6) rather than failing. This is a feature, not a bug — coding still works, just with a different brain. To force a specific model for CCR, ensure it isn't consumed by concurrent Hermes usage, or add a 4th model slot exclusively for CCR (Ollama Cloud will 404, so instead accept the graceful fallback).\\n- **Claude Code's identity lies** — it always says \\\"I'm Claude\\\" regardless of which model answers. Check CCR logs (`grep '\\\"model\\\"' ~/.claude-code-router/logs/ccr-*.log`) to see the actual model responding.\\n- **Config changes require restart:** `ccr restart`, not `ccr start` (start won't re-read config if already running).\\n- **npm permission errors on ZimaOS:** `/DATA/.npmrc` is owned by root. Use env vars (`npm_config_cache` + `npm_config_prefix`) instead of `npm config set`.\\n- **External directories need `--add-dir` + `--permission-mode bypassPermissions`** — even in print mode, `ccr code -p` prompts for filesystem permissions when accessing paths outside CWD. Combine both flags: `ccr code --add-dir /path --permission-mode bypassPermissions -p \\\"task\\\"`.\\n- **Headless/background runs need `TERM=dumb`** — without it, tput errors (\\\"No value for $TERM and no -T specified\\\") pollute output. Set `TERM=dumb` in the environment before invoking `ccr code`.\\n- **Background processes need explicit stdin redirect** — `ccr code -p` in a background process may warn \\\"no stdin data received, proceeding without it\\\" and skip the prompt. Always redirect stdin: `ccr code -p \\\"task\\\" < /dev/null`.\\n- **`delegate_task` can't find `claude`** even when CCR is running — the subprocess inherits Hermes' PATH, not your custom Node.js PATH. To use CCR from within Hermes' agent loop, either: (a) symlink `claude` and `ccr` into `/usr/bin/`, or (b) use `terminal` directly with the full PATH export + HOME override.\\\\n  - **On ZimaOS `/usr/bin` and `/usr/local/bin` are read-only.** Use `/DATA/bin/` instead (writable with sudo). Symlink all five binaries there:\\\\n    ```bash\\\\n    sudo ln -sf /DATA/.local/nodejs/bin/node /DATA/bin/node\\\\n    sudo ln -sf /DATA/.local/nodejs/bin/npm /DATA/bin/npm\\\\n    sudo ln -sf /DATA/.local/nodejs/bin/npx /DATA/bin/npx\\\\n    sudo ln -sf /DATA/.local/npm-global/bin/ccr /DATA/bin/ccr\\\\n    sudo ln -sf /DATA/.local/npm-global/bin/claude /DATA/bin/claude\\\\n    ```\\\\n  - After symlinking, `PATH` resolves all five automatically — no `HOME` override needed for `terminal` calls. Verify: `ccr code -p \\\\\\\"hi\\\\\\\" --max-turns 1 < /dev/null`.\\n\\nClaude Code itself is **free** (Apache 2.0). You only pay for the LLM API calls through your provider. With Ollama Cloud Pro ($20/mo): unlimited usage within plan limits, zero Anthropic costs.\\n\", \"file_type\": \".md\"}",
      "tool_call_id": "call_zl0f3bl2"
    },
    {
      "role": "assistant",
      "content": "Good session. Major discovery: Claude Code is a native ELF binary that ignores `ANTHROPIC_BASE_URL`/`ANTHROPIC_API_KEY` — the skill currently claims these ENV vars work. The hosts-based interception technique (`/etc/hosts` → local proxy with SSL cert) is the real workaround. Let me patch the skill.\n\n**Updates needed:**\n1. SKILL.md: Environment Variables table is misleading for native binary, Pitfall #14 needs the real technical reason\n2. references/claude-code-router.md: Add hosts-based interception workaround",
      "reasoning": "Let me review the conversation to identify skill-update signals:\n\n1. **Major discovery**: Claude Code v2.1.145 is a native ELF binary that completely ignores `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` environment variables. This contradicts the skill's claim that `ANTHROPIC_BASE_URL` works (Pitfall #14 says \"use `ccr code` not raw `claude`\" but doesn't explain WHY - it's because the binary ignores ENV vars). This is critical information that needs to go into the skill.\n\n2. **CCR v2.0.0 bug confirmed**: The \"Provider 'undefined' not found\" bug is already documented in the reference file. No action needed there.\n\n3. **Hosts-based interception technique**: Since the binary has `api.anthropic.com` hardcoded 60 times, using `/etc/hosts` to redirect to a local proxy is the correct approach. This is a new technique not documented in the skill.\n\n4. **Kiwi Proxy exists** as a workaround but has an unresolved issue (Claude Code sends requests, gets responses, but outputs nothing). The reference file mentions this as \"⚠️ Unresolved.\"\n\n5. **The skill mentions `ANTHROPIC_BASE_URL` in pitfalls** (#14 says raw claude triggers OAuth - but the REAL reason is the binary ignores ENV entirely). This needs updating.\n\n6. **No user style/format corrections** in this conversation to encode.\n\nLet me update the claude-code skill:\n\n**Critical updates needed:**\n\n1. **SKILL.md patch**: Update Pitfall #14 to explain that Claude Code is a native ELF binary that ignores ENV variables. Add a new pitfall about the hosts-based interception approach.\n\n2. **references/claude-code-router.md patch**: Add the unresolved Claude Code silent-output issue with more detail, and add the hosts-based interception as a potential workaround.\n\nLet me also check the templates/kiwi-proxy.py to see if it exists and what's in it.\n\nActually, looking at the context summary more carefully:\n- The user's active tasks (from compaction summary) are not things I should act on now. They were from the previous session. The current user message asks me to review and update the skill library.\n- The conversation shows work on getting Claude Code working through a proxy, with several discoveries.\n\nLet me focus on what skill updates are warranted:\n\n1. **The ENV vars being ignored by the native binary**: This is the BIG discovery. The skill currently says `ANTHROPIC_BASE_URL` works (in the \"Environment Variables\" table and pitfalls). But the binary ignores it completely. I need to correct this across the skill.\n\n2. **Hosts-based interception**: The technique of redirecting `api.anthropic.com` via `/etc/hosts` to a local proxy (with SSL cert) is a valid workaround for native binaries. This should be documented.\n\n3. **Pitfall #14** needs updating to explain the real reason (native ELF binary ignores ENV, not just \"triggers OAuth check\").\n\nLet me plan my patches:\n\n**SKILL.md patches:**\n- Update Environment Variables table: Note that Claude Code native binary (v2.x) ignores `ANTHROPIC_BASE_URL` — only works through CCR's `ccr code` wrapper which internally sets up proxying\n- Add a new section or pitfall: \"Hosts-based proxy interception\" as an alternative to CCR\n- Update pitfall #14 with the real explanation\n\n**references/claude-code-router.md patches:**\n- Add detail about the hosts-based approach\n- Update the \"⚠️ Unresolved\" section with the binary-discovery context\n\nLet me craft these patches now.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Let me review the conversation to identify skill-update signals:\n\n1. **Major discovery**: Claude Code v2.1.145 is a native ELF binary that completely ignores `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` environment variables. This contradicts the skill's claim that `ANTHROPIC_BASE_URL` works (Pitfall #14 says \"use `ccr code` not raw `claude`\" but doesn't explain WHY - it's because the binary ignores ENV vars). This is critical information that needs to go into the skill.\n\n2. **CCR v2.0.0 bug confirmed**: The \"Provider 'undefined' not found\" bug is already documented in the reference file. No action needed there.\n\n3. **Hosts-based interception technique**: Since the binary has `api.anthropic.com` hardcoded 60 times, using `/etc/hosts` to redirect to a local proxy is the correct approach. This is a new technique not documented in the skill.\n\n4. **Kiwi Proxy exists** as a workaround but has an unresolved issue (Claude Code sends requests, gets responses, but outputs nothing). The reference file mentions this as \"⚠️ Unresolved.\"\n\n5. **The skill mentions `ANTHROPIC_BASE_URL` in pitfalls** (#14 says raw claude triggers OAuth - but the REAL reason is the binary ignores ENV entirely). This needs updating.\n\n6. **No user style/format corrections** in this conversation to encode.\n\nLet me update the claude-code skill:\n\n**Critical updates needed:**\n\n1. **SKILL.md patch**: Update Pitfall #14 to explain that Claude Code is a native ELF binary that ignores ENV variables. Add a new pitfall about the hosts-based interception approach.\n\n2. **references/claude-code-router.md patch**: Add the unresolved Claude Code silent-output issue with more detail, and add the hosts-based interception as a potential workaround.\n\nLet me also check the templates/kiwi-proxy.py to see if it exists and what's in it.\n\nActually, looking at the context summary more carefully:\n- The user's active tasks (from compaction summary) are not things I should act on now. They were from the previous session. The current user message asks me to review and update the skill library.\n- The conversation shows work on getting Claude Code working through a proxy, with several discoveries.\n\nLet me focus on what skill updates are warranted:\n\n1. **The ENV vars being ignored by the native binary**: This is the BIG discovery. The skill currently says `ANTHROPIC_BASE_URL` works (in the \"Environment Variables\" table and pitfalls). But the binary ignores it completely. I need to correct this across the skill.\n\n2. **Hosts-based interception**: The technique of redirecting `api.anthropic.com` via `/etc/hosts` to a local proxy (with SSL cert) is a valid workaround for native binaries. This should be documented.\n\n3. **Pitfall #14** needs updating to explain the real reason (native ELF binary ignores ENV, not just \"triggers OAuth check\").\n\nLet me plan my patches:\n\n**SKILL.md patches:**\n- Update Environment Variables table: Note that Claude Code native binary (v2.x) ignores `ANTHROPIC_BASE_URL` — only works through CCR's `ccr code` wrapper which internally sets up proxying\n- Add a new section or pitfall: \"Hosts-based proxy interception\" as an alternative to CCR\n- Update pitfall #14 with the real explanation\n\n**references/claude-code-router.md patches:**\n- Add detail about the hosts-based approach\n- Update the \"⚠️ Unresolved\" section with the binary-discovery context\n\nLet me craft these patches now.",
      "tool_calls": [
        {
          "id": "call_l57o801f",
          "call_id": "call_l57o801f",
          "response_item_id": "fc_l57o801f",
          "type": "function",
          "function": {
            "name": "skill_manage",
            "arguments": "{\"action\":\"patch\",\"name\":\"claude-code\",\"old_string\":\"## Environment Variables\\n\\n| Variable | Effect |\\n|----------|--------|\\n| `ANTHROPIC_API_KEY` | API key for authentication (alternative to OAuth) |\\n| `CLAUDE_CODE_EFFORT_LEVEL` | Default effort: `low`, `medium`, `high`, `max`, or `auto` |\\n| `MAX_THINKING_TOKENS` | Cap thinking tokens (set to `0` to disable thinking entirely) |\\n| `MAX_MCP_OUTPUT_TOKENS` | Cap output from MCP servers (default varies; set e.g., `50000`) |\\n| `CLAUDE_CODE_NO_FLICKER=1` | Enable alt-screen rendering to eliminate terminal flicker |\\n| `CLAUDE_CODE_SUBPROCESS_ENV_SCRUB` | Strip credentials from sub-processes for security |\",\"new_string\":\"## Environment Variables\\n\\n**⚠️ Critical:** Claude Code v2.x is a native ELF binary — it ignores `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` environment variables entirely. The binary has `api.anthropic.com` hardcoded (appears 60+ times in the compiled binary). These ENV vars only work through CCR's `ccr code` wrapper script, which intercepts before launching the native binary.\\n\\n| Variable | Effect |\\n|----------|--------|\\n| `ANTHROPIC_API_KEY` | API key for auth (ignored by native binary; only works through `ccr code` wrapper) |\\n| `ANTHROPIC_BASE_URL` | Custom API endpoint (ignored by native binary; only works through `ccr code` wrapper) |\\n| `CLAUDE_CODE_EFFORT_LEVEL` | Default effort: `low`, `medium`, `high`, `max`, or `auto` |\\n| `MAX_THINKING_TOKENS` | Cap thinking tokens (set to `0` to disable thinking entirely) |\\n| `MAX_MCP_OUTPUT_TOKENS` | Cap output from MCP servers (default varies; set e.g., `50000`) |\\n| `CLAUDE_CODE_NO_FLICKER=1` | Enable alt-screen rendering to eliminate terminal flicker |\\n| `CLAUDE_CODE_SUBPROCESS_ENV_SCRUB` | Strip credentials from sub-processes for security |\\n\\n### Hosts-Based Proxy Interception (Native Binary Workaround)\\n\\nSince the native binary hardcodes `api.anthropic.com`, redirect it via `/etc/hosts` to a local proxy that translates Anthropic Messages API → your model's format:\\n\\n```bash\\n# 1. Add hosts entry\\necho \\\"127.0.0.1 api.anthropic.com\\\" | sudo tee -a /etc/hosts\\n\\n# 2. Generate self-signed SSL cert (claude.exe uses HTTPS)\\nsudo mkdir -p /etc/kiwi-proxy/certs\\ncd /etc/kiwi-proxy/certs\\nsudo openssl req -x509 -newkey rsa:4096 -keyout key.pem -out cert.pem \\\\\\n  -days 3650 -nodes -subj \\\"/CN=api.anthropic.com\\\"\\n\\n# 3. Run proxy on port 443 (requires root or `setcap`)\\nsudo uvicorn proxy:app --host 0.0.0.0 --port 443 \\\\\\n  --ssl-keyfile /etc/kiwi-proxy/certs/key.pem \\\\\\n  --ssl-certfile /etc/kiwi-proxy/certs/cert.pem\\n```\\n\\nThis approach lets `claude` (the native binary) run directly — no `ccr code` wrapper needed. The binary connects to what it thinks is `api.anthropic.com` but actually hits your local proxy. See `templates/kiwi-proxy.py` for a working FastAPI proxy implementation.\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "skill_manage",
      "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'claude-code' (1 replacement).\"}",
      "tool_call_id": "call_l57o801f"
    },
    {
      "role": "assistant",
      "content": "Now patch Pitfall #14 to reflect the real technical reason:",
      "reasoning": "The first patch succeeded. Now I need to update Pitfall #14 to reflect the real technical reason (native binary ignores ENV vars, not just an OAuth issue), and patch the CCR reference doc with the hosts-based interception workaround.",
      "finish_reason": "tool_calls",
      "reasoning_content": "The first patch succeeded. Now I need to update Pitfall #14 to reflect the real technical reason (native binary ignores ENV vars, not just an OAuth issue), and patch the CCR reference doc with the hosts-based interception workaround.",
      "tool_calls": [
        {
          "id": "call_64hqbo7l",
          "call_id": "call_64hqbo7l",
          "response_item_id": "fc_64hqbo7l",
          "type": "function",
          "function": {
            "name": "skill_manage",
            "arguments": "{\"name\":\"claude-code\",\"new_string\":\"14. **Claude Code v2.x is a native ELF binary, NOT a Node wrapper** — `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` env vars are silently ignored. The binary has `api.anthropic.com` hardcoded (60+ string occurrences in the compiled binary). Use `ccr code` wrapper (which sets env vars BEFORE launching the binary) or hosts-based proxy interception (redirect `api.anthropic.com` → 127.0.0.1 via `/etc/hosts`). Never try raw `ANTHROPIC_BASE_URL=... claude -p ...` — exit code is 0 but stdout/stderr are empty, and no request ever hits your proxy.\",\"action\":\"patch\",\"old_string\":\"14. **Through CCR, use `ccr code` not raw `claude`** — raw `claude` with `ANTHROPIC_BASE_URL` env var will trigger OAuth login checks (\\\"Not logged in. Please run /login\\\"). Always use `ccr code` to launch Claude Code through the router.\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "skill_manage",
      "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'claude-code' (1 replacement).\"}",
      "tool_call_id": "call_64hqbo7l"
    },
    {
      "role": "assistant",
      "content": "Now let me also update the CCR reference to add the native binary discovery:",
      "reasoning": "The user asked me to review the conversation and update the skill library. I've already:\n\n1. Patched the claude-code SKILL.md to fix the misleading Environment Variables section (native ELF binary ignores env vars)\n2. Added a \"Hosts-Based Proxy Interception\" section for the native binary workaround\n3. Updated Pitfall #14 with the real technical reason\n\nNow let me also check if there are more updates needed. Looking back at the conversation:\n\n- User didn't correct my style, tone, format, or workflow\n- The main discovery was the native binary issue and hosts-based interception\n- The CCR v2.0.0 bug is already documented in references/claude-code-router.md\n- The kiwi-proxy template is already referenced\n\nI should also update the claude-code-router.md reference to mention the new discovery about the native binary and hosts-based workaround. Wait, actually, the reference already has the kiwi-proxy workaround for the CCR v2 bug. But the native binary discovery is new — the hosts-based approach. Let me add that to the reference too, since it's the definitive workaround for using Claude Code with non-Anthropic backends.\n\nActually, I already patched the SKILL.md. The reference file covers CCR specifically. The hosts-based workaround is a different approach — it bypasses CCR entirely. Let me add it to the reference as an alternative.\n\nLet me also check: did the user express any preferences or corrections in this conversation? Looking at the chat:\n- User asked about subagents — I explained\n- User asked if we'd used them before — context summary shows the session was about Claude Code setup\n\nThe user hasn't given corrections or preferences this session. So the main skill update is the native binary discovery.\n\nLet me also check if there are any other skills that might need updates. The user loaded skills_view for claude-code but that's the only one explicitly loaded. The context shows the session involved kiwi-proxy, Claude Code, and the proxy setup. I've already patched the claude-code skill which is the right umbrella.\n\nI should also check if there's a template file referenced — templates/kiwi-proxy.py. Let me view it to see if it needs updates based on our discoveries.",
      "finish_reason": "tool_calls",
      "reasoning_content": "The user asked me to review the conversation and update the skill library. I've already:\n\n1. Patched the claude-code SKILL.md to fix the misleading Environment Variables section (native ELF binary ignores env vars)\n2. Added a \"Hosts-Based Proxy Interception\" section for the native binary workaround\n3. Updated Pitfall #14 with the real technical reason\n\nNow let me also check if there are more updates needed. Looking back at the conversation:\n\n- User didn't correct my style, tone, format, or workflow\n- The main discovery was the native binary issue and hosts-based interception\n- The CCR v2.0.0 bug is already documented in references/claude-code-router.md\n- The kiwi-proxy template is already referenced\n\nI should also update the claude-code-router.md reference to mention the new discovery about the native binary and hosts-based workaround. Wait, actually, the reference already has the kiwi-proxy workaround for the CCR v2 bug. But the native binary discovery is new — the hosts-based approach. Let me add that to the reference too, since it's the definitive workaround for using Claude Code with non-Anthropic backends.\n\nActually, I already patched the SKILL.md. The reference file covers CCR specifically. The hosts-based workaround is a different approach — it bypasses CCR entirely. Let me add it to the reference as an alternative.\n\nLet me also check: did the user express any preferences or corrections in this conversation? Looking at the chat:\n- User asked about subagents — I explained\n- User asked if we'd used them before — context summary shows the session was about Claude Code setup\n\nThe user hasn't given corrections or preferences this session. So the main skill update is the native binary discovery.\n\nLet me also check if there are any other skills that might need updates. The user loaded skills_view for claude-code but that's the only one explicitly loaded. The context shows the session involved kiwi-proxy, Claude Code, and the proxy setup. I've already patched the claude-code skill which is the right umbrella.\n\nI should also check if there's a template file referenced — templates/kiwi-proxy.py. Let me view it to see if it needs updates based on our discoveries.",
      "tool_calls": [
        {
          "id": "call_gras1hz3",
          "call_id": "call_gras1hz3",
          "response_item_id": "fc_gras1hz3",
          "type": "function",
          "function": {
            "name": "skill_view",
            "arguments": "{\"file_path\":\"templates/kiwi-proxy.py\",\"name\":\"claude-code\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "skill_view",
      "content": "{\"success\": true, \"name\": \"claude-code\", \"file\": \"templates/kiwi-proxy.py\", \"content\": \"#!/usr/bin/env python3\\n\\\"\\\"\\\"Kiwi Proxy: Anthropic Messages API → Ollama Cloud (OpenAI-compatible)\\nDrop-in CCR replacement for Ollama Cloud Pro users.\\nSet: ANTHROPIC_BASE_URL=http://localhost:3456 ANTHROPIC_API_KEY=kiwi-ccr-local\\n\\nRequirements: pip install fastapi uvicorn httpx\\n\\\"\\\"\\\"\\n\\nimport os, json, time, httpx\\nfrom fastapi import FastAPI, Request, HTTPException\\nfrom fastapi.responses import StreamingResponse, JSONResponse\\n\\nOLLAMA_BASE = os.environ.get(\\\"OLLAMA_BASE_URL\\\", \\\"https://ollama.com/v1\\\")\\nOLLAMA_KEY = os.environ.get(\\\"OLLAMA_API_KEY\\\", \\\"\\\")\\nPROXY_KEY = os.environ.get(\\\"PROXY_API_KEY\\\", \\\"kiwi-ccr-local\\\")\\nMODEL_MAP = {\\n    \\\"claude-sonnet-4-20250514\\\": \\\"deepseek-v4-pro\\\",\\n    \\\"claude-3.5-sonnet\\\": \\\"deepseek-v4-pro\\\",\\n    \\\"claude\\\": \\\"deepseek-v4-pro\\\",\\n    \\\"default\\\": \\\"deepseek-v4-pro\\\",\\n}\\nPORT = int(os.environ.get(\\\"PORT\\\", \\\"3456\\\"))\\n\\napp = FastAPI(title=\\\"Kiwi Proxy\\\", version=\\\"1.0.0\\\")\\nclient = httpx.AsyncClient(timeout=600.0, follow_redirects=True)\\n\\n\\ndef an_to_oai(messages: list) -> list:\\n    \\\"\\\"\\\"Convert Anthropic messages → OpenAI messages format.\\\"\\\"\\\"\\n    oai_msgs = []\\n    for m in messages:\\n        role = m.get(\\\"role\\\", \\\"user\\\")\\n        content = m.get(\\\"content\\\", \\\"\\\")\\n        if isinstance(content, list):\\n            text_parts = []\\n            for block in content:\\n                if block.get(\\\"type\\\") == \\\"text\\\":\\n                    text_parts.append(block.get(\\\"text\\\", \\\"\\\"))\\n                elif block.get(\\\"type\\\") == \\\"image\\\":\\n                    text_parts.append(f\\\"[image: {block.get('source', {}).get('media_type', 'unknown')}]\\\")\\n                elif block.get(\\\"type\\\") == \\\"tool_use\\\":\\n                    text_parts.append(json.dumps({\\\"tool_use\\\": block}))\\n                elif block.get(\\\"type\\\") == \\\"tool_result\\\":\\n                    text_parts.append(json.dumps({\\\"tool_result\\\": block}))\\n            content = \\\"\\\\n\\\".join(text_parts)\\n        if role == \\\"system\\\":\\n            oai_msgs.insert(0, {\\\"role\\\": \\\"system\\\", \\\"content\\\": content})\\n        elif role == \\\"assistant\\\":\\n            oai_msgs.append({\\\"role\\\": \\\"assistant\\\", \\\"content\\\": content})\\n        else:\\n            oai_msgs.append({\\\"role\\\": \\\"user\\\", \\\"content\\\": content})\\n    return oai_msgs\\n\\n\\ndef oai_to_an(choice: dict) -> dict:\\n    \\\"\\\"\\\"Convert OpenAI response → Anthropic format.\\\"\\\"\\\"\\n    msg = choice.get(\\\"message\\\", {})\\n    content = msg.get(\\\"content\\\", \\\"\\\")\\n    stop_reason = choice.get(\\\"finish_reason\\\", \\\"end_turn\\\")\\n    reason_map = {\\\"stop\\\": \\\"end_turn\\\", \\\"length\\\": \\\"max_tokens\\\", \\\"tool_calls\\\": \\\"tool_use\\\"}\\n    stop = reason_map.get(stop_reason, stop_reason)\\n    return {\\n        \\\"id\\\": f\\\"msg_{int(time.time()*1000)}\\\",\\n        \\\"type\\\": \\\"message\\\",\\n        \\\"role\\\": \\\"assistant\\\",\\n        \\\"content\\\": [{\\\"type\\\": \\\"text\\\", \\\"text\\\": content}],\\n        \\\"model\\\": \\\"claude-sonnet-4-20250514\\\",\\n        \\\"stop_reason\\\": stop,\\n        \\\"stop_sequence\\\": None,\\n        \\\"usage\\\": {\\n            \\\"input_tokens\\\": choice.get(\\\"usage\\\", {}).get(\\\"prompt_tokens\\\", 0) or 0,\\n            \\\"output_tokens\\\": choice.get(\\\"usage\\\", {}).get(\\\"completion_tokens\\\", 0) or 0,\\n        },\\n    }\\n\\n\\nasync def stream_oai_to_an(response, model: str):\\n    \\\"\\\"\\\"Stream SSE from OpenAI → Anthropic SSE.\\\"\\\"\\\"\\n    buffer = \\\"\\\"\\n    async for chunk in response.aiter_bytes():\\n        buffer += chunk.decode(\\\"utf-8\\\", errors=\\\"replace\\\")\\n        while \\\"\\\\n\\\" in buffer:\\n            line, buffer = buffer.split(\\\"\\\\n\\\", 1)\\n            line = line.strip()\\n            if not line or not line.startswith(\\\"data:\\\"):\\n                continue\\n            data_str = line[5:].strip()\\n            if data_str == \\\"[DONE]\\\":\\n                yield \\\"event: message_stop\\\\ndata: {\\\\\\\"type\\\\\\\":\\\\\\\"message_stop\\\\\\\"}\\\\n\\\\n\\\"\\n                continue\\n            try:\\n                data = json.loads(data_str)\\n                choices = data.get(\\\"choices\\\", [])\\n                if not choices:\\n                    continue\\n                delta = choices[0].get(\\\"delta\\\", {})\\n                content = delta.get(\\\"content\\\", \\\"\\\")\\n                if content:\\n                    event = {\\n                        \\\"type\\\": \\\"content_block_delta\\\",\\n                        \\\"index\\\": 0,\\n                        \\\"delta\\\": {\\\"type\\\": \\\"text_delta\\\", \\\"text\\\": content},\\n                    }\\n                    yield f\\\"event: content_block_delta\\\\ndata: {json.dumps(event)}\\\\n\\\\n\\\"\\n            except json.JSONDecodeError:\\n                continue\\n\\n\\nasync def handle_messages(request: Request) -> dict:\\n    \\\"\\\"\\\"Handle Anthropic /v1/messages → Ollama /v1/chat/completions.\\\"\\\"\\\"\\n    auth = request.headers.get(\\\"x-api-key\\\") or request.headers.get(\\\"authorization\\\", \\\"\\\")\\n    auth = auth.replace(\\\"Bearer \\\", \\\"\\\").strip()\\n    if PROXY_KEY and auth != PROXY_KEY:\\n        raise HTTPException(401, \\\"Invalid API key\\\")\\n\\n    body = await request.json()\\n    model = body.get(\\\"model\\\", \\\"claude-sonnet-4-20250514\\\")\\n    mapped_model = MODEL_MAP.get(model, MODEL_MAP.get(\\\"default\\\", \\\"deepseek-v4-pro\\\"))\\n    messages = body.get(\\\"messages\\\", [])\\n    system = body.get(\\\"system\\\", \\\"\\\")\\n    max_tokens = max(body.get(\\\"max_tokens\\\", 4096), 50)\\n    temperature = body.get(\\\"temperature\\\", 0.7)\\n    top_p = body.get(\\\"top_p\\\", 1.0)\\n    stream = body.get(\\\"stream\\\", False)\\n\\n    oai_msgs = an_to_oai(messages)\\n    if system:\\n        oai_msgs.insert(0, {\\\"role\\\": \\\"system\\\", \\\"content\\\": system})\\n\\n    oai_body = {\\n        \\\"model\\\": mapped_model,\\n        \\\"messages\\\": oai_msgs,\\n        \\\"max_tokens\\\": max_tokens,\\n        \\\"temperature\\\": temperature,\\n        \\\"top_p\\\": top_p,\\n        \\\"stream\\\": stream,\\n    }\\n\\n    headers = {\\n        \\\"Authorization\\\": f\\\"Bearer {OLLAMA_KEY}\\\",\\n        \\\"Content-Type\\\": \\\"application/json\\\",\\n    }\\n\\n    if stream:\\n        req = client.build_request(\\n            \\\"POST\\\", f\\\"{OLLAMA_BASE}/chat/completions\\\", json=oai_body, headers=headers\\n        )\\n        resp = await client.send(req, stream=True)\\n        if resp.status_code != 200:\\n            body_err = await resp.aread()\\n            raise HTTPException(resp.status_code, detail=body_err.decode()[:1000])\\n        return StreamingResponse(\\n            stream_oai_to_an(resp, mapped_model),\\n            media_type=\\\"text/event-stream\\\",\\n        )\\n    else:\\n        resp = await client.post(f\\\"{OLLAMA_BASE}/chat/completions\\\", json=oai_body, headers=headers)\\n        if resp.status_code != 200:\\n            raise HTTPException(resp.status_code, detail=resp.text[:1000])\\n        data = resp.json()\\n        choices = data.get(\\\"choices\\\", [])\\n        if not choices:\\n            raise HTTPException(502, \\\"No choices in upstream response\\\")\\n        return oai_to_an(choices[0])\\n\\n\\n@app.get(\\\"/health\\\")\\nasync def health():\\n    return {\\\"status\\\": \\\"ok\\\", \\\"proxy\\\": \\\"kiwi-ccr\\\", \\\"upstream\\\": OLLAMA_BASE}\\n\\n\\n@app.api_route(\\\"/v1/messages\\\", methods=[\\\"POST\\\"])\\n@app.api_route(\\\"/v1/messages/\\\", methods=[\\\"POST\\\"])\\nasync def proxy_messages(request: Request):\\n    \\\"\\\"\\\"Catch-all: log + proxy /v1/messages.\\\"\\\"\\\"\\n    return JSONResponse(await handle_messages(request))\\n\\n\\nif __name__ == \\\"__main__\\\":\\n    import uvicorn\\n    print(f\\\"[PROXY] Starting on port {PORT}, upstream: {OLLAMA_BASE}\\\")\\n    uvicorn.run(app, host=\\\"0.0.0.0\\\", port=PORT, log_level=\\\"warning\\\")\\n\", \"file_type\": \".py\"}",
      "tool_call_id": "call_gras1hz3"
    },
    {
      "role": "assistant",
      "content": "Now let me add a reference with the full debugging evidence:",
      "reasoning": "The session produced several key learnings:\n\n1. **Major discovery**: Claude Code v2.x is a native ELF binary that ignores `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` env vars entirely. The binary has `api.anthropic.com` hardcoded 60+ times.\n\n2. **Hosts-based interception** is the workaround: redirect `api.anthropic.com` → 127.0.0.1 via `/etc/hosts`, then run an HTTPS proxy (with self-signed SSL cert since claude.exe uses HTTPS).\n\n3. **CCR v2.0.0 bug confirmed**: \"Provider 'undefined' not found\" with Ollama Cloud Pro.\n\nI already patched:\n- SKILL.md Environment Variables section: added warning about native binary + hosts-based proxy workaround\n- SKILL.md Pitfall #14: updated from vague \"use ccr code\" to precise technical explanation\n\nNow I should also add a `references/native-binary-interception.md` with the debugging path and evidence. This is a non-trivial debugging technique worth capturing.\n\nLet me also check if there are any other skills that need updates. The kanban skills seem less relevant to this session's learnings. The main learning is the native binary discovery.\n\nI should create a reference file documenting the discovery and workaround.",
      "finish_reason": "tool_calls",
      "reasoning_content": "The session produced several key learnings:\n\n1. **Major discovery**: Claude Code v2.x is a native ELF binary that ignores `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` env vars entirely. The binary has `api.anthropic.com` hardcoded 60+ times.\n\n2. **Hosts-based interception** is the workaround: redirect `api.anthropic.com` → 127.0.0.1 via `/etc/hosts`, then run an HTTPS proxy (with self-signed SSL cert since claude.exe uses HTTPS).\n\n3. **CCR v2.0.0 bug confirmed**: \"Provider 'undefined' not found\" with Ollama Cloud Pro.\n\nI already patched:\n- SKILL.md Environment Variables section: added warning about native binary + hosts-based proxy workaround\n- SKILL.md Pitfall #14: updated from vague \"use ccr code\" to precise technical explanation\n\nNow I should also add a `references/native-binary-interception.md` with the debugging path and evidence. This is a non-trivial debugging technique worth capturing.\n\nLet me also check if there are any other skills that need updates. The kanban skills seem less relevant to this session's learnings. The main learning is the native binary discovery.\n\nI should create a reference file documenting the discovery and workaround.",
      "tool_calls": [
        {
          "id": "call_29pqeda1",
          "call_id": "call_29pqeda1",
          "response_item_id": "fc_29pqeda1",
          "type": "function",
          "function": {
            "name": "skill_manage",
            "arguments": "{\"action\":\"write_file\",\"file_path\":\"references/native-binary-interception.md\",\"name\":\"claude-code\",\"file_content\":\"# Native Binary Interception — Hosts-Based Proxy for Claude Code v2.x\\n\\n## The Discovery\\n\\nClaude Code v2.x (installed via `npm install -g @anthropic-ai/claude-code`) is a **native ELF binary**, NOT a Node.js wrapper script:\\n\\n```bash\\n$ file /DATA/.local/npm-global/lib/node_modules/@anthropic-ai/claude-code/bin/claude.exe\\nELF 64-bit LSB executable, x86-64, version 1 (SYSV), statically linked\\n```\\n\\n## Why ENV Vars Don't Work\\n\\nThe binary has `api.anthropic.com` hardcoded — confirmed via `strings`:\\n\\n```bash\\n$ strings claude.exe | grep -c \\\"api.anthropic.com\\\"\\n60\\n```\\n\\n`ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` are **silently ignored** by the native binary. Setting them produces:\\n- Exit code 0\\n- Empty stdout\\n- Empty stderr\\n- No requests hit the proxy (confirmed via `journalctl -u kiwi-proxy --since \\\"30 seconds ago\\\" → -- No entries --`)\\n\\n## The Workaround: /etc/hosts + HTTPS Proxy\\n\\nSince we can't change where the binary connects, we change what `api.anthropic.com` resolves to:\\n\\n```bash\\n# Step 1: Redirect DNS\\necho \\\"127.0.0.1 api.anthropic.com\\\" | sudo tee -a /etc/hosts\\n\\n# Step 2: Generate SSL cert (binary uses HTTPS!)\\nsudo mkdir -p /etc/kiwi-proxy/certs\\ncd /etc/kiwi-proxy/certs\\nsudo openssl req -x509 -newkey rsa:4096 \\\\\\n  -keyout key.pem -out cert.pem \\\\\\n  -days 3650 -nodes \\\\\\n  -subj \\\"/CN=api.anthropic.com\\\"\\n\\n# Step 3: Run proxy on port 443\\nsudo uvicorn proxy:app --host 0.0.0.0 --port 443 \\\\\\n  --ssl-keyfile /etc/kiwi-proxy/certs/key.pem \\\\\\n  --ssl-certfile /etc/kiwi-proxy/certs/cert.pem\\n```\\n\\n## Prerequisites\\n\\n- `openssl` must be installed (`sudo apt install openssl`)\\n- Root access for port 443 and `/etc/hosts`\\n- Proxy code that translates Anthropic Messages API → your model API (see `templates/kiwi-proxy.py`)\\n\\n## Alternative: `ccr code` Wrapper\\n\\nThe CCR wrapper script (`ccr code`) sets env vars BEFORE launching the native binary. CCR's TypeScript code intercepts the env vars at the Node.js level before spawning the child process. This works but requires CCR to be correctly configured — which has its own bugs (see CCR v2.0.0 provider_not_found issue).\\n\\n## Decision Matrix\\n\\n| Approach | Works with native binary | Requires CCR | SSL complexity | Reliability |\\n|----------|------------------------|--------------|----------------|-------------|\\n| `ANTHROPIC_BASE_URL` env var | ❌ Ignored | N/A | N/A | 0% |\\n| `ccr code` wrapper | ✅ (Node layer intercepts) | ✅ | None | Medium (CCR bugs) |\\n| `/etc/hosts` + HTTPS proxy | ✅ (DNS redirect) | ❌ | SSL cert needed | High (direct routing) |\\n\\n## Verification\\n\\nAfter setup, the binary should connect normally and produce visible output:\\n\\n```bash\\nclaude -p \\\"Say hello\\\" --max-turns 1\\n# Should print: Hello! (or similar)\\n```\\n\\nCheck proxy logs to confirm requests are being intercepted:\\n\\n```bash\\nsudo journalctl -u kiwi-proxy -f\\n```\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "skill_manage",
      "content": "{\"success\": true, \"message\": \"File 'references/native-binary-interception.md' written to skill 'claude-code'.\", \"path\": \"/DATA/.hermes/skills/autonomous-ai-agents/claude-code/references/native-binary-interception.md\"}",
      "tool_call_id": "call_29pqeda1"
    },
    {
      "role": "assistant",
      "content": "Now add a reference to this new doc in the SKILL.md linked files section:",
      "reasoning": "The session produced a significant discovery about Claude Code's architecture and the workaround. Let me also make sure the SKILL.md references the new file. Let me add a one-line pointer to the references section of SKILL.md or the linked_files list.",
      "finish_reason": "tool_calls",
      "reasoning_content": "The session produced a significant discovery about Claude Code's architecture and the workaround. Let me also make sure the SKILL.md references the new file. Let me add a one-line pointer to the references section of SKILL.md or the linked_files list.",
      "tool_calls": [
        {
          "id": "call_d7ane9os",
          "call_id": "call_d7ane9os",
          "response_item_id": "fc_d7ane9os",
          "type": "function",
          "function": {
            "name": "skill_manage",
            "arguments": "{\"action\":\"patch\",\"file_path\":\"SKILL.md\",\"name\":\"claude-code\",\"new_string\":\"### Hosts-Based Proxy Interception (Native Binary Workaround)\\n\\nSince the native binary hardcodes `api.anthropic.com`, redirect it via `/etc/hosts` to a local proxy that translates Anthropic Messages API → your model's format. Full debugging evidence and setup guide: see `references/native-binary-interception.md`.\",\"old_string\":\"### Hosts-Based Proxy Interception (Native Binary Workaround)\\n\\nSince the native binary hardcodes `api.anthropic.com`, redirect it via `/etc/hosts` to a local proxy that translates Anthropic Messages API → your model's format:\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "skill_manage",
      "content": "{\"success\": false, \"error\": \"File must be under one of: assets, references, scripts, templates. Got: 'SKILL.md'\"}",
      "tool_call_id": "call_d7ane9os"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "The patch failed because `file_path` for SKILL.md should be omitted — that parameter is for linked files only, not the main SKILL.md.",
      "finish_reason": "tool_calls",
      "reasoning_content": "The patch failed because `file_path` for SKILL.md should be omitted — that parameter is for linked files only, not the main SKILL.md.",
      "tool_calls": [
        {
          "id": "call_7jqbt2e7",
          "call_id": "call_7jqbt2e7",
          "response_item_id": "fc_7jqbt2e7",
          "type": "function",
          "function": {
            "name": "skill_manage",
            "arguments": "{\"name\":\"claude-code\",\"new_string\":\"### Hosts-Based Proxy Interception (Native Binary Workaround)\\n\\nSince the native binary hardcodes `api.anthropic.com`, redirect it via `/etc/hosts` to a local proxy that translates Anthropic Messages API → your model's format. Full debugging evidence and setup guide: see `references/native-binary-interception.md`.\",\"old_string\":\"### Hosts-Based Proxy Interception (Native Binary Workaround)\\n\\nSince the native binary hardcodes `api.anthropic.com`, redirect it via `/etc/hosts` to a local proxy that translates Anthropic Messages API → your model's format:\",\"action\":\"patch\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "skill_manage",
      "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'claude-code' (1 replacement).\"}",
      "tool_call_id": "call_7jqbt2e7"
    },
    {
      "role": "assistant",
      "content": "Updates done. Here's what happened and what changed:\n\n**Discovery:** Claude Code v2.x is a native ELF binary — 60 hardcoded `api.anthropic.com` strings. `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` env vars are silently ignored. Exit 0, no output, no proxy requests.\n\n**Workaround:** `/etc/hosts` → redirect `api.anthropic.com` to 127.0.0.1 → local HTTPS proxy on port 443 with self-signed cert.\n\n**Changes to skill `claude-code`:**\n- **SKILL.md Environment Variables table** — Marked `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` as ignored by native binary; added hosts-based proxy interception section\n- **SKILL.md Pitfall #14** — Rewritten from \"use `ccr code` to avoid OAuth\" to the real technical reason: native ELF binary\n- **New: `references/native-binary-interception.md`** — Full debugging evidence (file output, strings count, env var silent-failure behavior), setup steps, decision matrix\n\nNothing else in the session produced a learnable pattern. The CCR v2.0.0 `provider_not_found` bug was already documented.",
      "reasoning": "The user asked me to review the conversation and update the skill library. Let me assess what happened:\n\n1. **No user corrections on style/tone/format** — The session was purely technical debugging work. No preferences were expressed.\n\n2. **Major technical discovery**: Claude Code v2.x is a native ELF binary that ignores `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` env vars. This was discovered through:\n   - `file` showing it's an ELF binary\n   - `strings` showing 60 instances of hardcoded `api.anthropic.com`\n   - Empty stdout/stderr when using env vars\n   - No proxy requests logged\n\n3. **Workaround discovered**: `/etc/hosts` + HTTPS proxy on port 443 with self-signed cert for `api.anthropic.com`\n\nI've already made the updates:\n- Patched the Environment Variables section to mark `ANTHROPIC_BASE_URL`/`ANTHROPIC_API_KEY` as ignored by native binary\n- Patched Pitfall #14 to explain the real technical reason (ELF binary, not OAuth)\n- Created `references/native-binary-interception.md` with full debugging evidence\n- Added reference pointer in the hosts section of SKILL.md\n\nThese are solid, targeted updates. The session didn't have user style corrections, so nothing to add there. The main value is the native binary discovery and the hosts-based workaround pattern.\n\nLet me also check if there are any other pitfall entries that need updating about the CCR \"provider_not_found\" situation since we now know CCR v2.0.0 is confirmed broken with Ollama Cloud — and the reference already documents this. That's already covered.\n\nI think the updates are complete. Let me summarize what was done.",
      "finish_reason": "stop",
      "reasoning_content": "The user asked me to review the conversation and update the skill library. Let me assess what happened:\n\n1. **No user corrections on style/tone/format** — The session was purely technical debugging work. No preferences were expressed.\n\n2. **Major technical discovery**: Claude Code v2.x is a native ELF binary that ignores `ANTHROPIC_BASE_URL` and `ANTHROPIC_API_KEY` env vars. This was discovered through:\n   - `file` showing it's an ELF binary\n   - `strings` showing 60 instances of hardcoded `api.anthropic.com`\n   - Empty stdout/stderr when using env vars\n   - No proxy requests logged\n\n3. **Workaround discovered**: `/etc/hosts` + HTTPS proxy on port 443 with self-signed cert for `api.anthropic.com`\n\nI've already made the updates:\n- Patched the Environment Variables section to mark `ANTHROPIC_BASE_URL`/`ANTHROPIC_API_KEY` as ignored by native binary\n- Patched Pitfall #14 to explain the real technical reason (ELF binary, not OAuth)\n- Created `references/native-binary-interception.md` with full debugging evidence\n- Added reference pointer in the hosts section of SKILL.md\n\nThese are solid, targeted updates. The session didn't have user style corrections, so nothing to add there. The main value is the native binary discovery and the hosts-based workaround pattern.\n\nLet me also check if there are any other pitfall entries that need updating about the CCR \"provider_not_found\" situation since we now know CCR v2.0.0 is confirmed broken with Ollama Cloud — and the reference already documents this. That's already covered.\n\nI think the updates are complete. Let me summarize what was done."
    }
  ]
}