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Implement multi-agent AI pipelines to generate historical scenes from natural language queries: extract temporal coordinates, build character profiles, synthesize dialog, map relationships, and render photoreal images via 15 specialized agents.
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12
commits
12
commits
feat: entity privacy — pass user context to Clockchain entity lookups
a1329e1View on GitHubfeat: pass user context to Clockchain for entity visibility during generation
bf3f4c1View on GitHubfix: audit fixes — deduplicate fields, fix background grounding imports, wire optimized flow grounding, persist profiles to TDF (#34)
7ef8cedView on GitHubfeat: add background grounding task, re-grounding endpoint, ground_figure client (#33)
a031a19View on GitHubfix: add public get_provider() method to LLMRouter for EntityGroundingAgent (#32)
c1cdaf9View on GitHubfeat: entity grounding — web search, bio injection, entity library (#31)
752536eView on GitHubfeat: Add correlation ID propagation and structured LLM call logging (#28)
c4baf3cView on GitHubfix: correct batch resolve request format and response parsing in entity_client (#26)
56fe1aaView on GitHubfix: propagate entity_id from stub to Character, correct TDF entity_ids placement
70e74c9View on GitHubfeat: integrate entity resolution into character generation pipeline
9304213View on GitHub