Carlos Pereira is up next at Interrupt with how @Cisco uses agents to deliver "unimaginable" customer experience to the enterprise! – A framework for classifying business value derived from agents
– Their stack and how @MistralAI
, @AnthropicAI
, and LangChain enable them to
@langchain
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Cisco’s AI Agents for Enterprise Customer Experience at Interrupt
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LangGraph Platform Now Generally Available for Agent Deployment
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LangGraph Platform is now generally available! 🚀Deploy, scale, and manage agents with LangGraph Platform — built for long-running, stateful workflows.
— LangChain (@LangChain) 14 mai 2025
You can:
• 1-click deploy, horizontally scale, and leverage comprehensive APIs including memory, HIL, and conversational… pic.twitter.com/aNgS0omkNWLangGraph Platform is now generally available! Deploy, scale, and manage agents with LangGraph Platform — built for long-running, stateful workflows. You can:
• 1-click deploy, horizontally scale, and leverage comprehensive APIs including memory, HIL, and conversational -
Fireside Chat with Replit on Code Generation and LangSmith
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Next, a fireside chat with @pirroh from @Replit ! Code generation is a flagship use case for LLMs, and Replit agent is at the forefront, helping thousands of developers build full-featured apps. LangSmith has been vital in helping them there! – Using multiple models,
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Fireside Chat with Replit: Code Generation and LLM Agents
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Next, a fireside chat with @pirroh from @Replit ! Code generation is a flagship use case for LLMs, and Replit agent is at the forefront, helping thousands of developers build full-featured apps. LangSmith has been vital in helping them there! – Using multiple models, very
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New Agent Visibility Features: Tool Calls and Run Statistics
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Excited to share new levels of visibility for agents that we’re launching to help you understand what your agent is doing!
— LangChain (@LangChain) 14 mai 2025
You can now get visibility into tool calls and run stats:
⬆️ View the most popular tools and runs
⏱️ Get insight into latency of those tools and runs
⚠️… pic.twitter.com/i87sUbt0cQExcited to share new levels of visibility for agents that we’re launching to help you understand what your agent is doing! You can now get visibility into tool calls and run stats: View the most popular tools and runs Get insight into latency of those tools and runs
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Long-Term Memory for Improving Email Assistant Agent Interactions
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Long-term memory is a vital part of building great agent interactions. Here's David Xu showing how to use it to make an email assistant improve over time! This ties in beautifully with the prior human in the loop steps, as the agent uses the human's edits and rejections to
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Long-Term Memory for Improving Email Assistant Agents Over Time
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Long-term memory is a vital part of building great agent interactions. Here's David Xu showing how to use it to make an email assistant improve over time! This ties in beautifully with the prior human in the loop steps, as the agent uses the human's edits and rejections to
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Agent Inbox: Human-in-the-Loop Control and Oversight for Agents
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Next up, Nick is back with a deep dive into Agent Inbox and the UI/UX around human in the loop interactions! A non-technical end user can use it to gain oversight into an agent's actions, accepting/editing/ignoring suggested actions as an agent runs! This human component
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Agent Inbox: Human-in-the-Loop Control for Agent Actions
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Next up, Nick is back with a deep dive into Agent Inbox and the UI/UX around human in the loop interactions! A non-technical end user can use it to gain oversight into an agent's actions, accepting/editing/ignoring suggested actions as an agent runs! This human component
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LangSmith Evals: Build Production-Ready Agents with Confidence
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Evals are a key part of bringing your agent from prototype to production Nick Huang shows how LangSmith evals and experiments give you confidence in the reliability of your agents! Define metrics and run against a dataset, or get started quickly with our pytest integration