Zero-config observability for every framework | Changelog

Updates

Instrument your AI stack with a single configuration option

Capture LLM calls, tool invocations, retrievals, and more without adding manual wrappers.

Pass the libraries you use to instrumentations and Neatlogs automatically instruments supported frameworks and SDKs. Just make sure neatlogs.init() runs before importing any instrumented library.

neatlogs.init(
    api_key=os.environ["NEATLOGS_API_KEY"],
    workflow_name="rag-pipeline",
    instrumentations=["openai", "langchain", "chromadb"],
)

See all supported libraries

Release notesv1.0.0Expanded library supportMarch 2026

Added Anthropic, Azure AI Inference, Amazon Bedrock, Google GenAI, and LiteLLM to auto-instrumentation. CrewAI and LangGraph support with first-class prompt template binding.

FeatureAnthropic, azure_ai_inference, bedrock, google_genai, and litellm added as instrumentation keys
FeatureCrewAI support via neatlogs.bind_templates() and neatlogs.register_crewai_task()
Featurelanggraph instrumentation key for graph-level span capture
FeatureMCP_TOOL span kind for tools invoked via Model Context Protocol
Featureinstructor and guardrails added as supported instrumentation libraries
EnhancementSpan deduplication handles overlapping spans when two instrumentation layers cover the same call