Update Dapr Agents docs for latest LLM & Agent activities and AgentRunner workflow #4940
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…odes, config-based memory, and up-to-date workflow/orchestration snippets. Signed-off-by: Roberto Rodriguez <9653181+Cyb3rWard0g@users.noreply.github.com>
…mple agent to use AgentMemoryConfig. Signed-off-by: Roberto Rodriguez <9653181+Cyb3rWard0g@users.noreply.github.com>
…entRunner execution options. Signed-off-by: Roberto Rodriguez <9653181+Cyb3rWard0g@users.noreply.github.com>
…ghlighted the new runner-focused learning goals. Signed-off-by: Roberto Rodriguez <9653181+Cyb3rWard0g@users.noreply.github.com>
bibryam
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Nov 10, 2025
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LGTM
Minor comment on the use of env variables in components which I think is still not supported dapr/components-contrib#4054
daprdocs/content/en/developing-applications/dapr-agents/dapr-agents-getting-started.md
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@marcduiker can you take a look into this. After major changes in the Dapr Agents, this looks good to me. |
…h component file Signed-off-by: Roberto Rodriguez <9653181+Cyb3rWard0g@users.noreply.github.com>
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Is there anything else that I need to do here? @bibryam @msfussell |
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Description
This PR aligns the Dapr Agents documentation set with the latest quickstarts and runtime APIs. Emphasizes
AgentRunnerhosting modes, config-class usage, and theConversation/OpenAIcomponent so newcomers follow the supported setup. Clarifies how each quickstart maps tostandalonevs.durableagents for easier navigation.Key changes:
AgentRunnerrun/subscribe/serve flows,@llm_activity/@agent_activity/@message_router, and updated multi-agent orchestration samples.historystore.yaml+openai.yaml, explains wiring the OpenAI key, and updates the weather agent to useAgentMemoryConfig.AgentRunner.run, and notes on subscribe/serve hosting options.