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markdown/ai-bootcamp/ai-bootcamp.md

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@@ -212,6 +212,8 @@ This step is involved with running SAM enterprise with the new files generated.
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ports:
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- "0.0.0.0:8001:8001" # expose container port 8001 as port 8001 on host IP 0.0.0.0
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command: ["run","/app/configs"] # override the default sam run command to specify a directory
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networks:
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sam-network:
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external: true # reuse your existing network
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There is no need to provide a preview of the content in the response.
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```
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### Adding a multimedia agent
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### Adding a multimodal agent
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Lets add another multi-modal agent. This agent is capable of generating and processing content in both audio and visual formats. It includes features like text-to-speech with tone-based voice selection, multi-speaker conversations, audio transcription, image generation, and image analysis, while providing detailed guidelines for using these features effectively.
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In the `configs/agents` directory
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curl https://raw.githubusercontent.com/SolaceLabs/solace-agent-mesh/refs/heads/main/examples/agents/a2a_multimodal_example.yaml -o multimodal.yaml
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```
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1. Shared
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1. Navigate to `shared_config.yaml` file and update add the following
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```
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image_describe: &image_description_model
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# This dictionary structure tells ADK to use the LiteLlm wrapper.
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api_base: ${AUDIO_TRANSCRIPTION_API_BASE} # Use env var for endpoint URL
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# 'api_key' provides authentication.
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api_key: ${AUDIO_TRANSCRIPTION_API_KEY} # Use env var for API key
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gemini_pro: &gemini_pro_model "gemini-2.5-pro-exp-03-25"
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```
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1. Update yor env file with the following environment variable
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```
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IMAGE_MODEL_NAME="openai/imagen-3"
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IMAGE_SERVICE_ENDPOINT="https://lite-llm.mymaas.net"
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IMAGE_SERVICE_API_KEY="sk-GzO1GTvrvAuOXijAlresJg"
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GEMINI_API_KEY=<token>
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```
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