Introducing: LangSmith Agent Builder | Scott Raino
Introducing: LangSmith Agent Builder | Scott Raino
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LangSmith Agent Builder: On the street in San Francisco | Karan Singh
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Start Building AI Agents Using Natural Language Prompts With LangSmith Agent Builder
Start Building AI Agents Using Natural Language Prompts With LangSmith Agent Builder
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Introducing LangSmith Fleet. Agents for every team.→ Build agents with natural language→ Share and control who can edit, run, or clone each agent→ Manage authentication with agent identity→ Approve actions with human-in-the-loop→ Track and audit actions with tracing in LangSmith ObservabilityTry Fleet:
1:06
Introducing LangSmith Fleet. Agents for every team.→ Build agents with natural language→ Share and control who can edit, run, or clone each agent→ Manage authentication with agent identity→ Approve actions with human-in-the-loop→ Track and audit actions with tracing in LangSmith ObservabilityTry Fleet:
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x.comLangChain
🚀 We just shipped a major update to LangSmith Agent Builder:• New agent chat: One always-available agent with access to all your workspace tools• Chat → Agent: Turn any conversation into a specialized agent with one click• File uploads: Attach files directly to Agent Builder• Tool registry: Add, authenticate, and manage your tools in one placeTry it now: https://t.co/RBUyLkySHxLearn more:
3:04
🚀 We just shipped a major update to LangSmith Agent Builder:• New agent chat: One always-available agent with access to all your workspace tools• Chat → Agent: Turn any conversation into a specialized agent with one click• File uploads: Attach files directly to Agent Builder• Tool registry: Add, authenticate, and manage your tools in one placeTry it now: https://t.co/RBUyLkySHxLearn more:
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x.comLangChain
🚀 New LangChain Academy Course: Building Reliable Agents 🚀Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models.Add multi-step reasoning, tool use, and real user traffic, and building reliable agents becomes far more complex than traditional system design.The goal of this course is to teach you how to take an agent from first run to production-ready system through it
2:02
🚀 New LangChain Academy Course: Building Reliable Agents 🚀Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models.Add multi-step reasoning, tool use, and real user traffic, and building reliable agents becomes far more complex than traditional system design.The goal of this course is to teach you how to take an agent from first run to production-ready system through it
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x.comLangChain
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