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Integrations

Weave provides automatic implicit patching for all supported integrations by default: Implicit Patching (Automatic): Libraries are automatically patched regardless of when they are imported. 
# Option 1: Import before weave.init() import openai import weave weave.init('my-project') # OpenAI is automatically patched!  # Option 2: Import after weave.init() import weave weave.init('my-project') import anthropic # Automatically patched via import hook!
Disabling Implicit Patching: You can disable automatic patching if you prefer explicit control. 
import weave  # Option 1: Via settings parameter weave.init('my-project', settings={'implicitly_patch_integrations': False})  # Option 2: Via environment variable # Set WEAVE_IMPLICITLY_PATCH_INTEGRATIONS=false before running your script  # With implicit patching disabled, you must explicitly patch integrations import openai weave.patch_openai() # Now required for OpenAI tracing
Explicit Patching (Manual): You can explicitly patch integrations for fine-grained control. 
import weave weave.init('my-project') weave.integrations.patch_openai() # Enable OpenAI tracing weave.integrations.patch_anthropic() # Enable Anthropic tracing
W&B Weave provides logging integrations for popular LLM providers and orchestration frameworks. These integrations allow you to seamlessly trace calls made through various libraries, enhancing your ability to monitor and analyze your AI applications.

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LLM Providers

LLM providers are the vendors that offer access to large language models for generating predictions. Weave integrates with these providers to log and trace the interactions with their APIs: Local Models: For when you’re running models on your own infrastructure.

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Frameworks

Frameworks help orchestrate the actual execution pipelines in AI applications. They provide tools and abstractions for building complex workflows. Weave integrates with these frameworks to trace the entire pipeline:

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RL Frameworks

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Protocols

Weave integrates with standardized protocols that enable communication between AI applications and their supporting services: Choose an integration from the lists above to learn more about how to use Weave with your preferred LLM provider, framework, or protocol. Whether you’re directly accessing LLM APIs, building complex pipelines, or using standardized protocols, Weave provides the tools to trace and analyze your AI applications effectively.