no/llm
Standard Interface for Large Language Models
no/llm is a Python library that provides a unified interface for working with LLMs, with built-in support for model configuration, parameter validation, and provider management.
Quick Install
uv pip install "no_llm[pydantic-ai]"
Quick Example with Pydantic AI
import os
from no_llm.integrations.pydantic_ai import NoLLMModel
from no_llm.registry import ModelRegistry
from no_llm.settings import ValidationMode, settings
from pydantic_ai import Agent
from pydantic_ai.settings import ModelSettings
settings.validation_mode = ValidationMode.ERROR
# or ValidationMode.WARN, ValidationMode.CLAMP
os.environ["OPENROUTER_API_KEY"] = "..."
# Get model from registry
registry = ModelRegistry()
openrouter_models = list(registry.list_models(provider="openrouter"))
print([m.identity.id for m in openrouter_models])
# > ['claude-3.5-haiku', 'claude-3.5-sonnet-v2', 'claude-3.7-sonnet', 'deepseek-chat', 'deepseek-r1-llama-70b-distilled', 'deepseek-reasoner', ...]
no_llm_model = NoLLMModel(*openrouter_models)
# Use with Pydantic AI
agent = Agent(no_llm_model, model_settings=ModelSettings(temperature=1.2))
result = agent.run_sync("What is the capital of France?")
print(result.data)
# > 2025-04-09 09:50:51.375 | WARNING | no_llm.integrations.pydantic_ai:request:220 - Model deepseek-chat failed, trying next fallback. Error: Invalid value for parameter 'temperature'
# > Current value: 1.2
# > Valid range: (0.0, 1.0)
# > Error: Value 1.2 outside range [0.0, 1.0]
# > 2025-04-09 09:50:51.375 | WARNING | no_llm.integrations.pydantic_ai:request:220 - Model deepseek-r1-llama-70b-distilled failed, trying next fallback. Error: Invalid value for parameter 'temperature'
# > Current value: 1.2
# > Valid range: (0.0, 1.0)
# > Error: Value 1.2 outside range [0.0, 1.0]
# ✅ gemini-2.0-flash
# > The capital of France is **Paris**.
Why no/llm?
-
Provider Agnostic: Support for OpenAI, Anthropic, Google, Mistral, Groq, and more through a single interface
-
Built-in Validation: Type-safe parameter validation and capability checking
-
Provider Fallbacks: Automatic fallback between providers and data centers
-
Configuration System: YAML-based model configurations with inheritance support
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Model Registry: Central management of models with capability-based filtering
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Integration Ready: Works with Pydantic AI, and more frameworks coming soon
Next Steps
1 maintainer
Metadata
1 maintainer
Release files for no-llm 0.1.14
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