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All digests tagged Managed Deep Agents
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Managed Deep Agents streamlines the journey from local agent prototype to production. It couples the agent harness with LangSmith infrastructure, simplifying complex tasks like durable execution, multi-tenancy, and context governance.
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Managed Deep Agents simplifies deploying mission-critical AI agents. It bundles the Deep Agents harness with managed LangSmith infrastructure, allowing developers to define, test, and deploy agents using the mda CLI.
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Web search can allow your agent to conduct external research and add that to information that you've already built in with your existing set of tools and skills. LangChain provides built-in search using parallel as part of the LangSmith platform.
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Learn how to build custom HTTP channels for Managed Deep Agents to handle inbound requests from external services like HubSpot or iMessage. We cover defining verifiers, parsers, and managing user context.
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Learn how to use Schedules for Managed Deep Agents to automate recurring tasks. Configure cron jobs to generate weekly reports from Salesforce and deliver them automatically to Slack via LangSmith.
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Learn how middleware extends Managed Deep Agents, enabling custom behaviors like PII redaction and tool call logging. See how to build custom middleware using `wrap_tool_call`.
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Learn how to deploy a Managed Deep Agent to Slack using LangSmith. This guide covers initialization, authorization, monitoring live traces, and customizing message triggers for production readiness.
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To prevent performance regressions in Managed Deep Agents, use Harbor and `mda evals init` to scaffold robust eval suites. Evals are structured into environments, jobs, and checks, and results are monitored in LangSmith.
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Instructions define an agent's behavior and can be managed via the Context Hub. This allows modifying instructions directly in the UI without redeploying code, streamlining agent maintenance.
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Learn how to build an autonomous social media agent using LangChain's Managed Deep Agents. We cover tool creation, scheduling, memory management, and full deployment to Slack.
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