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Langsmith-sdk Alternatives
Similar projects and alternatives to langsmith-sdk
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harness-sdk
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
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langfuse
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
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crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
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helicone
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
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MLflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
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ragas
Discontinued Supercharge Your LLM Application Evaluations 🚀 [Moved to: https://github.com/vibrantlabsai/ragas]
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strands-agents-langfuse-evaluations
🏦 PoC using Strands Agents with Langfuse tracing, offline/online evaluations, prompt management, and annotation queues.
langsmith-sdk discussion
langsmith-sdk reviews and mentions
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Strands Agents + Langfuse Evaluations
That's where traces and evaluations come in — supported by a growing number of platforms: Langfuse, Arize Phoenix, MLflow, LangSmith, W&B Weave, Datadog, AWS AgentCore, Azure AI Foundry, Google Vertex AI
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LangChain overview for Node.js
Observability - trace runs with LangSmith (LANGSMITH_TRACING=true); optional LangSmith Engine monitors traces and flags issues
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Benchmark: Ragas 0.1 vs. LangSmith 2.0: RAG Evaluation Speed for 1k Queries
No, LangSmith 2.0 is a cloud-only SaaS product. LangSmith Enterprise (self-hosted) is in closed beta, with general availability planned for Q4 2024 per https://github.com/langchain-ai/langsmith-sdk/discussions/456.
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Your AI Agent Just Failed in Production. Where Do You Even Start Debugging?
Current tooling handles this poorly. LangSmith loses visibility when agents cross framework boundaries: CrewAI agent traces fail to appear in LangSmith entirely, even with tracing enabled. Langfuse shows wrong inputs per agent in supervisor orchestration, and users report identical generation names make it "impossible to target accurately a specific agent" when configuring per-agent evaluations. Arize Phoenix requires manual context propagation for multi-agent trace consolidation.
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I Evaluated Every AI Agent Observability Tool on the Market. Here's What's Actually Missing.
LangSmith can trace LangChain applications natively, but CrewAI traces fail to appear in LangSmith entirely despite correct environment configuration, and unified cross-framework traces (a LangChain agent handing off to a CrewAI agent in the same trace) remain unsupported.
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95% of AI Pilots Fail. The Ones That Succeed All Do This One Thing.
LangSmith can now trace individual CrewAI and AutoGen applications via OpenTelemetry, but it still cannot produce unified cross-framework multi-agent traces — a pipeline where a LangChain agent hands off to a CrewAI agent in the same trace breaks due to context propagation gaps.
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A note from our sponsor - SaaSHub
www.saashub.com | 19 Aug 2026
Stats
langchain-ai/langsmith-sdk is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of langsmith-sdk is Python.