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Rename all arch references to plano across the codebase
Complete rebrand from "Arch"/"archgw" to "Plano" including: - Config files: arch_config_schema.yaml, workflow, demo configs - Environment variables: ARCH_CONFIG_* → PLANO_CONFIG_* - Python CLI: variables, functions, file paths, docker mounts - Rust crates: config paths, log messages, metadata keys - Docker/build: Dockerfile, supervisord, .dockerignore, .gitignore - Docker Compose: volume mounts and env vars across all demos/tests - GitHub workflows: job/step names - Shell scripts: log messages - Demos: Python code, READMEs, VS Code configs, Grafana dashboard - Docs: RST includes, code comments, config references - Package metadata: package.json, pyproject.toml, uv.lock External URLs (docs.archgw.com, github.com/katanemo/archgw) left as-is. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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# Claude Code Router - Multi-Model Access with Intelligent Routing
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Arch Gateway extends Claude Code to access multiple LLM providers through a single interface. Offering two key benefits:
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Plano extends Claude Code to access multiple LLM providers through a single interface. Offering two key benefits:
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1. **Access to Models**: Connect to Grok, Mistral, Gemini, DeepSeek, GPT models, Claude, and local models via Ollama
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2. **Intelligent Routing via Preferences for Coding Tasks**: Configure which models handle specific development tasks:
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@ -21,15 +21,15 @@ Uses a [1.5B preference-aligned router LLM](https://arxiv.org/abs/2506.16655) to
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## How It Works
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Arch Gateway sits between Claude Code and multiple LLM providers, analyzing each request to route it to the most suitable model:
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Plano sits between Claude Code and multiple LLM providers, analyzing each request to route it to the most suitable model:
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```
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Your Request → Arch Gateway → Suitable Model → Response
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Your Request → Plano → Suitable Model → Response
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↓
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[Task Analysis & Model Selection]
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```
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**Supported Providers**: OpenAI-compatible, Anthropic, DeepSeek, Grok, Gemini, Llama, Mistral, local models via Ollama. See [full list of supported providers](https://docs.archgw.com/concepts/llm_providers/supported_providers.html).
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**Supported Providers**: OpenAI-compatible, Anthropic, DeepSeek, Grok, Gemini, Llama, Mistral, local models via Ollama. See [full list of supported providers](https://docs.planoai.dev/concepts/llm_providers/supported_providers.html).
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## Quick Start (5 minutes)
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@ -61,7 +61,7 @@ export ANTHROPIC_API_KEY="your-anthropic-key-here"
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# Add other providers as needed
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```
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### Step 3: Start Arch Gateway
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### Step 3: Start Plano
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```bash
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# Install using uv (recommended)
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uv tool install planoai
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@ -122,7 +122,7 @@ planoai cli-agent claude --settings='{"ANTHROPIC_SMALL_FAST_MODEL": "deepseek-co
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### Environment Variables
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The system automatically configures these variables for Claude Code:
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```bash
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ANTHROPIC_BASE_URL=http://127.0.0.1:12000 # Routes through Arch Gateway
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ANTHROPIC_BASE_URL=http://127.0.0.1:12000 # Routes through Plano
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ANTHROPIC_SMALL_FAST_MODEL=arch.claude.code.small.fast # Uses intelligent alias
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```
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## Technical Details
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**How routing works:** Arch intercepts Claude Code requests, analyzes the content using preference-aligned routing, and forwards to the configured model.
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**How routing works:** Plano intercepts Claude Code requests, analyzes the content using preference-aligned routing, and forwards to the configured model.
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**Research foundation:** Built on our research in [Preference-Aligned LLM Routing](https://arxiv.org/abs/2506.16655)
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**Documentation:** [docs.archgw.com](https://docs.archgw.com) for advanced configuration and API details.
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**Documentation:** [docs.planoai.dev](https://docs.planoai.dev) for advanced configuration and API details.
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#!/usr/bin/env bash
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# Pretty-print ArchGW MODEL_RESOLUTION lines from docker logs
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# Pretty-print Plano MODEL_RESOLUTION lines from docker logs
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# - hides Arch-Router
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# - prints timestamp
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# - colors MODEL_RESOLUTION red
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