Local-First Run

Zero-config first run that picks a model from the provider credentials you already have

The terminal CLI picks a sensible default model from whichever provider credential is present, so praisonai run "..." works without passing --model.

from praisonaiagents import Agent

agent = Agent(name="local-first", instructions="Answer clearly and briefly.")
agent.start("Explain black holes to a 5-year-old")

Quick Start

1. Point at a local model (optional)

   Run an OpenAI-compatible endpoint such as Ollama, then export its host.

   ollama pull llama3.2 && ollama serve
   export OLLAMA_HOST=http://127.0.0.1:11434
   
2. Run with no --model

   The CLI resolves a provider-appropriate default from your environment.

   praisonai run "Explain black holes to a 5-year-old"
   
3. Override the endpoint (optional)

   Point at any OpenAI-compatible server without editing config.

   export OPENAI_BASE_URL=http://localhost:11434/v1
   praisonai run "Summarise today's news"
   

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How It Works

The CLI checks for a credential, then resolves a default model before running.

is_configured() treats a run as ready when any provider key is set (env var or stored credential). resolve_default_model() then chooses the model, persisting only user-chosen models for next time.

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Detection Order

The default model follows a fixed precedence.

Priority	Signal	Behaviour
1	Explicit --model / config / YAML	Wins; persisted as the recent model
2	Recent model (~/.praison/state/model.json)	Reused from the last user-chosen run
3	MODEL_NAME / OPENAI_MODEL_NAME	Honoured for backward compatibility
4	Provider credential present	Provider-appropriate default inferred
5	None of the above	gpt-4o-mini fallback

Provider-inferred default models per credential:

Credential env var	Default model
OPENAI_API_KEY	gpt-4o-mini
ANTHROPIC_API_KEY	anthropic/claude-3-5-sonnet-latest
GEMINI_API_KEY	gemini/gemini-1.5-flash
GOOGLE_API_KEY	google/gemini-1.5-flash
GROQ_API_KEY	groq/llama-3.3-70b-versatile
COHERE_API_KEY	cohere/command-r
OPENROUTER_API_KEY	openrouter/openai/gpt-4o-mini
OLLAMA_HOST	ollama/llama3.2

When a provider-inferred default is used, the CLI prints one transparency line, for example: No model set; using ollama/llama3.2 because OLLAMA_HOST is present.

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Credential Gate

The run behaves differently when no credential is found, depending on whether the terminal is interactive.

Condition	Behaviour
No credential, interactive TTY	Offers the praisonai setup wizard, then continues
No credential, non-TTY / CI / JSON mode	Prints No API key configured. Run: praisonai setup and exits 1

CI and non-interactive runs still fail fast without a credential. Set a provider key (or OLLAMA_HOST) in the environment before running headless.

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Endpoint Environment Variables

Point the CLI at any OpenAI-compatible endpoint without editing config files.

Variable	Purpose
OPENAI_BASE_URL	Base URL for OpenAI-compatible endpoints (checked first)
OPENAI_API_BASE	Alternate base-URL variable
OLLAMA_API_BASE	Base URL for a local Ollama server
OLLAMA_HOST	Marks Ollama as available; infers ollama/llama3.2
MODEL_NAME / OPENAI_MODEL_NAME	Force a specific default model

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Best Practices

Prefer a local model for prototyping

Set OLLAMA_HOST and let the CLI infer ollama/llama3.2. No cloud key or cost while you iterate.

Fall back to cloud with one env var

Set a provider key like OPENAI_API_KEY. The next run picks that provider’s default automatically.

Pin a model to skip inference

Pass --model or set MODEL_NAME. Both win over inference and the explicit value is remembered for later runs.

Keep CI deterministic

Export a real credential in CI. Non-interactive runs never prompt and exit 1 when nothing is configured.

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Related

Setup

Interactive wizard for storing provider credentials.

Models

Supported providers and model identifiers.