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rewrite planoai CLI in Rust
Add crates/plano-cli/ as a full Rust rewrite of the Python CLI. Binary name: planoai. All subcommands ported: up, down, build, logs, cli-agent, trace, init. Config validation and Tera template rendering replace the Python config_generator. CI updated to use cargo test/build instead of Python test jobs.
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37 changed files with 4658 additions and 91 deletions
41
crates/plano-cli/templates/coding_agent_routing.yaml
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crates/plano-cli/templates/coding_agent_routing.yaml
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version: v0.3.0
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model_providers:
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# OpenAI Models
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- model: openai/gpt-5-2025-08-07
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access_key: $OPENAI_API_KEY
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routing_preferences:
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- name: code generation
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description: generating new code snippets, functions, or boilerplate based on user prompts or requirements
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- model: openai/gpt-4.1-2025-04-14
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access_key: $OPENAI_API_KEY
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routing_preferences:
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- name: code understanding
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description: understand and explain existing code snippets, functions, or libraries
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# Anthropic Models
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- model: anthropic/claude-sonnet-4-5
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default: true
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access_key: $ANTHROPIC_API_KEY
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- model: anthropic/claude-haiku-4-5
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access_key: $ANTHROPIC_API_KEY
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# Ollama Models
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- model: ollama/llama3.1
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base_url: http://localhost:11434
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# Model aliases - friendly names that map to actual provider names
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model_aliases:
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# Alias for a small faster Claude model
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arch.claude.code.small.fast:
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target: claude-haiku-4-5
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listeners:
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- type: model
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name: model_listener
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port: 12000
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tracing:
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random_sampling: 100
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36
crates/plano-cli/templates/conversational_state.yaml
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crates/plano-cli/templates/conversational_state.yaml
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version: v0.3.0
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agents:
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- id: assistant
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url: http://localhost:10510
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model_providers:
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# OpenAI Models
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- model: openai/gpt-5-mini-2025-08-07
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access_key: $OPENAI_API_KEY
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default: true
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# Anthropic Models
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- model: anthropic/claude-sonnet-4-20250514
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access_key: $ANTHROPIC_API_KEY
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listeners:
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- type: agent
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name: conversation_service
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port: 8001
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router: plano_orchestrator_v1
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agents:
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- id: assistant
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description: |
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A conversational assistant that maintains context across multi-turn
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conversations. It can answer follow-up questions, remember previous
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context, and provide coherent responses in ongoing dialogues.
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# State storage configuration for v1/responses API
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# Manages conversation state for multi-turn conversations
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state_storage:
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# Type: memory | postgres
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type: memory
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tracing:
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random_sampling: 100
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50
crates/plano-cli/templates/filter_chain_guardrails.yaml
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crates/plano-cli/templates/filter_chain_guardrails.yaml
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version: v0.3.0
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agents:
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- id: rag_agent
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url: http://rag-agents:10505
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filters:
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- id: input_guards
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url: http://rag-agents:10500
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type: http
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# type: mcp (default)
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# transport: streamable-http (default)
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# tool: input_guards (default - same as filter id)
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- id: query_rewriter
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url: http://rag-agents:10501
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type: http
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# type: mcp (default)
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# transport: streamable-http (default)
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# tool: query_rewriter (default - same as filter id)
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- id: context_builder
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url: http://rag-agents:10502
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type: http
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model_providers:
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- model: openai/gpt-4o-mini
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access_key: $OPENAI_API_KEY
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default: true
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- model: openai/gpt-4o
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access_key: $OPENAI_API_KEY
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model_aliases:
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fast-llm:
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target: gpt-4o-mini
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smart-llm:
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target: gpt-4o
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listeners:
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- type: agent
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name: agent_1
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port: 8001
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router: plano_orchestrator_v1
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agents:
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- id: rag_agent
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description: virtual assistant for retrieval augmented generation tasks
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filter_chain:
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- input_guards
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- query_rewriter
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- context_builder
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tracing:
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random_sampling: 100
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27
crates/plano-cli/templates/preference_aware_routing.yaml
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crates/plano-cli/templates/preference_aware_routing.yaml
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version: v0.3.0
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model_providers:
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- model: openai/gpt-4o-mini
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access_key: $OPENAI_API_KEY
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default: true
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- model: openai/gpt-4o
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access_key: $OPENAI_API_KEY
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routing_preferences:
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- name: code understanding
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description: understand and explain existing code snippets, functions, or libraries
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- model: anthropic/claude-sonnet-4-20250514
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access_key: $ANTHROPIC_API_KEY
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routing_preferences:
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- name: code generation
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description: generating new code snippets, functions, or boilerplate based on user prompts or requirements
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listeners:
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- type: model
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name: model_listener
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port: 12000
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tracing:
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random_sampling: 100
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57
crates/plano-cli/templates/sub_agent_orchestration.yaml
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crates/plano-cli/templates/sub_agent_orchestration.yaml
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version: v0.3.0
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agents:
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- id: weather_agent
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url: http://langchain-weather-agent:10510
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- id: flight_agent
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url: http://crewai-flight-agent:10520
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model_providers:
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- model: openai/gpt-4o
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access_key: $OPENAI_API_KEY
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default: true
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- model: openai/gpt-4o-mini
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access_key: $OPENAI_API_KEY # smaller, faster, cheaper model for extracting entities like location
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listeners:
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- type: agent
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name: travel_booking_service
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port: 8001
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router: plano_orchestrator_v1
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agents:
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- id: weather_agent
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description: |
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WeatherAgent is a specialized AI assistant for real-time weather information and forecasts. It provides accurate weather data for any city worldwide using the Open-Meteo API, helping travelers plan their trips with up-to-date weather conditions.
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Capabilities:
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* Get real-time weather conditions and multi-day forecasts for any city worldwide using Open-Meteo API (free, no API key needed)
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* Provides current temperature
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* Provides multi-day forecasts
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* Provides weather conditions
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* Provides sunrise/sunset times
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* Provides detailed weather information
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* Understands conversation context to resolve location references from previous messages
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* Handles weather-related questions including "What's the weather in [city]?", "What's the forecast for [city]?", "How's the weather in [city]?"
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* When queries include both weather and other travel questions (e.g., flights, currency), this agent answers ONLY the weather part
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- id: flight_agent
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description: |
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FlightAgent is an AI-powered tool specialized in providing live flight information between airports. It leverages the FlightAware AeroAPI to deliver real-time flight status, gate information, and delay updates.
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Capabilities:
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* Get live flight information between airports using FlightAware AeroAPI
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* Shows real-time flight status
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* Shows scheduled/estimated/actual departure and arrival times
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* Shows gate and terminal information
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* Shows delays
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* Shows aircraft type
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* Shows flight status
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* Automatically resolves city names to airport codes (IATA/ICAO)
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* Understands conversation context to infer origin/destination from follow-up questions
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* Handles flight-related questions including "What flights go from [city] to [city]?", "Do flights go to [city]?", "Are there direct flights from [city]?"
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* When queries include both flight and other travel questions (e.g., weather, currency), this agent answers ONLY the flight part
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tracing:
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random_sampling: 100
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