II.
LibraryProcess JSON
Structured · livelib-process:ai-agents-conversational--multi-modal-agent
specializations/ai-agents-conversational/multi-modal-agent json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-process:ai-agents-conversational--multi-modal-agent",
"_kind": "LibraryProcess",
"_file": "generated-library/processes.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "specializations/ai-agents-conversational/multi-modal-agent",
"description": "Multi-Modal Agent Development - Process for building agents that can process and generate\nmultiple modalities including text, images, audio, and video with unified reasoning capabilities.",
"libraryPath": "library/specializations/ai-agents-conversational/multi-modal-agent.js",
"specialization": "ai-agents-conversational",
"references": [
"- GPT-4 Vision: https://platform.openai.com/docs/guides/vision",
"- Claude Vision: https://docs.anthropic.com/claude/docs/vision",
"- Gemini Multi-Modal: https://ai.google.dev/docs/gemini_api_overview"
],
"example": "const result = await orchestrate('specializations/ai-agents-conversational/multi-modal-agent', {\n agentName: 'multi-modal-assistant',\n modalities: ['text', 'image', 'audio'],\n visionModels: ['gpt-4-vision', 'claude-3-vision']\n});",
"usesAgents": [
"multimodal-agent-expert",
"vision-developer",
"audio-developer",
"video-developer",
"reasoning-developer",
"pipeline-developer",
"testing-developer"
]
},
"outgoingEdges": [
{
"from": "lib-process:ai-agents-conversational--multi-modal-agent",
"to": "domain:software-engineering",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:ai-agents-conversational--multi-modal-agent",
"to": "workflow:agent-evaluation-cycle",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:ai-agents-conversational--multi-modal-agent",
"to": "specialization:ai-agents-conversational",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 0.9
}
},
{
"from": "lib-process:ai-agents-conversational--multi-modal-agent",
"to": "lib-agent:ai-agents-conversational--multimodal-agent-expert",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
}
],
"incomingEdges": []
}