fix: add knowledge_agent to system prompt subagent list
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@@ -690,7 +690,7 @@ async def main(payload: dict, context):
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system_prompt = system_prompt + '\n\n---\n\n' + ltm_block
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system_prompt += '\nAWS tools available: call_aws (any AWS API via AWS MCP Server), aws_list_lambda_functions, aws_get_cost_and_usage, aws_describe_service. Use call_aws directly for AWS API calls — do NOT say you lack AWS access.'
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system_prompt += '\n\nSubagents available — use them aggressively to save cost and improve quality:\n- aws_agent: all AWS infrastructure, cost, resource, IAM, CloudWatch queries\n- coding_agent: code writing, builds, deployments, CodeBuild/AppRunner/ECR\n- document_agent: summarize URLs, extract data from documents, process long text\nDefault to delegating; only answer directly for simple conversational responses or tasks that don\'t fit a subagent.'
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system_prompt += '\n\nSubagents available — use them aggressively to save cost and improve quality:\n- aws_agent: all AWS infrastructure, cost, resource, IAM, CloudWatch queries\n- coding_agent: code writing, builds, deployments, CodeBuild/AppRunner/ECR\n- document_agent: summarize URLs, extract data from documents, process long text\n- knowledge_agent: query factbase-cloud (your personal knowledge graph) — search facts, retrieve stored knowledge, run factbase workflows. Use this whenever asked about factbase, factcloud, or personal knowledge base.\nDefault to delegating; only answer directly for simple conversational responses or tasks that don\'t fit a subagent.'
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# Model: claude-sonnet-4-6 via cross-region inference
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# NOTE: extended thinking disabled — causes retry/duplicate issues with streaming
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