feat: Introduce ManagedAgent and AgentRunner implementations#110
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jsonbailey merged 9 commits intomainfrom Mar 31, 2026
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feat: Introduce ManagedAgent and AgentRunner implementations#110jsonbailey merged 9 commits intomainfrom
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feat: Add OpenAIAgentRunner with agentic tool-calling loop feat: Add LangChainAgentRunner with agentic tool-calling loop feat: Add OpenAIRunnerFactory.create_agent(config, tools) -> OpenAIAgentRunner feat: Add LangChainRunnerFactory.create_agent(config, tools) -> LangChainAgentRunner feat: Add ManagedAgent wrapper holding AgentRunner and LDAIConfigTracker feat: Add LDAIClient.create_agent() returning ManagedAgent
…ider helper tests feat: add TestGetAIUsageFromResponse and TestGetToolCallsFromResponse test coverage for LangChainHelper feat: add TestGetAIUsageFromResponse test coverage for OpenAIHelper fix: update ManagedAgent.invoke to use track_metrics_of_async
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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feat: Add OpenAIAgentRunner with agentic tool-calling loop
feat: Add LangChainAgentRunner with agentic tool-calling loop
feat: Add OpenAIRunnerFactory.create_agent(config, tools) -> OpenAIAgentRunner
feat: Add LangChainRunnerFactory.create_agent(config, tools) -> LangChainAgentRunner
feat: Add ManagedAgent wrapper holding AgentRunner and LDAIConfigTracker
feat: Add LDAIClient.create_agent() returning ManagedAgent
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Note
Medium Risk
Adds a new managed agent API plus new OpenAI/LangChain agent execution paths with tool handling and metrics extraction, which may affect runtime behavior and tracking across providers. Risk is mitigated by extensive new unit tests but touches core SDK surface area.
Overview
Adds first-class managed agent execution to the server AI SDK via
LDAIClient.create_agent()returning a newManagedAgentwrapper that runs anAgentRunnerand auto-tracks invocation metrics.Introduces new AgentRunner implementations for both providers:
OpenAIAgentRunner(backed byopenai-agentswith optional native tools + model settings mapping) andLangChainAgentRunner(wrapslangchain.agents.create_agentand aggregates token usage across graph messages). Provider factories (OpenAIRunnerFactory,LangChainRunnerFactory) now exposecreate_agentto construct these runners.Updates token usage extraction to be more robust/consistent (LangChain prefers non-zero
usage_metadata; OpenAI supports both chat completions andopenai-agentsresults), and refactors native OpenAI tool mapping intoopenai_helper; adds/extends unit tests covering the new APIs, tool filtering/skipping, and usage parsing edge cases.Written by Cursor Bugbot for commit 9295cc3. This will update automatically on new commits. Configure here.