“Best overall open-source option”
“Best overall open-source option”
“Particularly attractive if data ownership and self-hosting matter.”
“1. Langfuse — best starting point for open-source, self-hostable run tracking.”
“Strong recommendation”
“Official SDKs are mature and well documented.”
“OpenAI, Anthropic and Google are my first three choices if SDK quality and straightforward integration are the primary considerations.”
“Best for tracing plus evaluations”
“Best for tracing plus evaluations”
“Particularly appealing if you want to turn production runs into evaluation datasets.”
“2. Braintrust — best alternative if evaluations and production quality measurement are equally important.”
“OpenAI, Anthropic and Google are my first three choices if SDK quality and straightforward integration are the primary considerations.”
“OpenAI, Anthropic and Google are my first three choices if SDK quality and straightforward integration are the primary considerations.”
“Especially useful for agent-heavy applications.”
“Especially useful for agent-heavy applications.”
“3. LangSmith — particularly compelling if you're building sophisticated agents.”
“A good option if you want another first-party provider rather than relying on an OpenAI-compatible interface.”
“A good option if you want another first-party provider rather than relying on an OpenAI-compatible interface.”
“Worth considering if you also need experiment tracking and model evaluation.”
“Worth considering if you also need experiment tracking and model evaluation.”
“Particularly useful for AWS-native infrastructure, IAM and enterprise governance.”
“Particularly useful for AWS-native infrastructure, IAM and enterprise governance.”
“OpenAI, Anthropic and Google are my first three choices if SDK quality and straightforward integration are the primary considerations.”
“Built-in OpenTelemetry tracing support.”
“OpenAI, Anthropic and Google are my first three choices if SDK quality and straightforward integration are the primary considerations.”
