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* Add a StateBag to AgentSession and pass Agent and AgentSession to AIContextProvider and ChatHistoryProviders * Convert all AIContextProviders to use the statebag * Update InMemoryChatHistoryProvider to use StateBag * Update Comsos and Workflow ChatHistoryProviders * Update 3rd party chat history storage sample. * Remove serialize method from providers * Replacing provider factories with properties * Remove Providers from Session and flatten state bag serialization * Update samples to use getservice on agent * Updated additional session types to serialize statebag * Fix regression * Address PR comments * Address PR comments. * Fix formatting * Fix unit tests * Remove InMemoryAgentSession since it is not required anymore. * Address PR comments * Convert sessions for A2AAgent, ChatClientAgent, CopilotStudioAgent and GithubCopilotAgent to use regular json serialization. * Fix durable agent session jso usgae * Add jso to InMemory and Workflow ChatHistoryProviders * Update InMemoryChatHistoryProvider to use an options class for it's many optional settings. * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Address PR feedback * Fix verification bug. * Improve state bag thread safety * Address PR comments and fix unit tests * Address PR comments * Fix unit test --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Agent with Custom Implementation
This sample demonstrates how to create a fully custom agent implementation without relying on external AI services.
Overview
The sample creates a simple "parrot" agent that:
- Converts user input to uppercase
- Supports both synchronous and streaming invocation modes
- Demonstrates the complete implementation requirements for a custom agent
This pattern is useful when you need to:
- Integrate with custom AI models or services
- Create rule-based agents without AI
- Build agents with specific custom logic