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* feat: add initial documentation for Plano Agent Skills * feat: readme with examples * feat: add detailed skills documentation and examples for Plano --------- Co-authored-by: Adil Hafeez <adil.hafeez@gmail.com>
86 lines
2.7 KiB
Markdown
86 lines
2.7 KiB
Markdown
---
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title: Use `planoai cli_agent` to Connect Claude Code Through Plano
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impact: MEDIUM-HIGH
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impactDescription: Running Claude Code directly against provider APIs bypasses Plano's routing, observability, and guardrails — cli_agent routes all Claude Code traffic through your configured Plano instance
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tags: cli, cli-agent, claude, coding-agent, integration
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---
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## Use `planoai cli_agent` to Connect Claude Code Through Plano
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`planoai cli_agent` starts a Claude Code session that routes all LLM traffic through your running Plano instance instead of directly to Anthropic. This gives you routing preferences, model aliases, tracing, and guardrails for your coding agent workflows — making Claude Code a first-class citizen of your Plano configuration.
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**Prerequisites:**
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```bash
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# 1. Plano must be running with a model listener
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planoai up config.yaml
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# 2. ANTHROPIC_API_KEY must be set (Claude Code uses it for auth)
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export ANTHROPIC_API_KEY=sk-ant-...
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```
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**Starting the CLI agent:**
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```bash
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# Start CLI agent using config.yaml in current directory
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planoai cli_agent claude
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# Use a specific config file
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planoai cli_agent claude config.yaml
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# Use a config in a different directory
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planoai cli_agent claude --path /path/to/project
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```
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**Recommended config for Claude Code routing:**
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```yaml
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version: v0.3.0
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listeners:
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- type: model
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name: claude_code_router
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port: 12000
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model_providers:
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- model: anthropic/claude-sonnet-4-20250514
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access_key: $ANTHROPIC_API_KEY
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default: true
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routing_preferences:
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- name: general coding
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description: >
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Writing code, debugging, code review, explaining concepts,
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answering programming questions, general development tasks.
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- model: anthropic/claude-opus-4-6
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access_key: $ANTHROPIC_API_KEY
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routing_preferences:
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- name: complex architecture
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description: >
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System design, complex refactoring across many files,
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architectural decisions, performance optimization, security audits.
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model_aliases:
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claude.fast.v1:
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target: claude-sonnet-4-20250514
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claude.smart.v1:
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target: claude-opus-4-6
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tracing:
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random_sampling: 100
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trace_arch_internal: true
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overrides:
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upstream_connect_timeout: "10s"
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```
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**What happens when cli_agent runs:**
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1. Reads your config.yaml to find the model listener port
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2. Configures Claude Code to use `http://localhost:<port>` as its API endpoint
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3. Starts a Claude Code session in your terminal
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4. All Claude Code LLM calls flow through Plano — routing, tracing, and guardrails apply
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After your session, use `planoai trace` to inspect every LLM call Claude Code made, which model was selected, and why.
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Reference: [https://github.com/katanemo/archgw](https://github.com/katanemo/archgw)
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