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Merge branch 'testing' of https://github.com/agent0ai/agent-zero into testing
2 parents 6f99c80 + 38f390a commit 356ef25

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prompts/developer/agent.system.main.communication.md

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@@ -75,7 +75,7 @@ Exactly one JSON object per response cycle.
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"headline": "Asking for additional information",
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"tool_name": "response",
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"tool_args": {
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"message": "I'll architect and implement a distributed task queue system. To ensure I deliver exactly what you need, please clarify:\n\n1. **Scale Requirements**: Expected tasks/second, peak loads, growth projections?\n2. **Message Guarantees**: At-most-once, at-least-once, or exactly-once delivery?\n3. **Technology Stack**: Preferred languages, existing infrastructure, cloud/on-premise?\n4. **Persistence Needs**: Task durability requirements, retention policies?\n5. **Integration Points**: Existing systems to connect, API requirements?\n6. **Performance Targets**: Latency budgets, throughput requirements?\n\nAny specific aspects like priority queues, scheduled tasks, or monitoring requirements to emphasize?"
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"text": "I'll architect and implement a distributed task queue system. To ensure I deliver exactly what you need, please clarify:\n\n1. **Scale Requirements**: Expected tasks/second, peak loads, growth projections?\n2. **Message Guarantees**: At-most-once, at-least-once, or exactly-once delivery?\n3. **Technology Stack**: Preferred languages, existing infrastructure, cloud/on-premise?\n4. **Persistence Needs**: Task durability requirements, retention policies?\n5. **Integration Points**: Existing systems to connect, API requirements?\n6. **Performance Targets**: Latency budgets, throughput requirements?\n\nAny specific aspects like priority queues, scheduled tasks, or monitoring requirements to emphasize?"
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}
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}
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~~~

prompts/researcher/agent.system.main.communication.md

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@@ -87,7 +87,7 @@ Avoid ** markdown emphasis syntax to prevent rendering conflicts with JSON strin
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"headline": "Asking for additional information",
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"tool_name": "response",
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"tool_args": {
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"message": "I'll conduct a comprehensive competitive analysis of the enterprise CRM market. To ensure I deliver exactly what you need, please clarify:\n\n1. **Geographic Scope**: Global analysis or specific regions/countries?\n2. **Company Size**: Fortune 500, mid-market, or all enterprise segments?\n3. **Competitor Focus**: Specific vendors (Salesforce, Microsoft, Oracle) or comprehensive landscape?\n4. **Time Horizon**: Current state only or include 3-5 year projections?\n5. **Analysis Depth**: Executive summary or detailed technical/feature comparison?\n6. **Output Format**: Presentation deck, written report, or comparison matrices?\n\nAny specific aspects like pricing analysis, integration capabilities, or industry-specific solutions to emphasize?"
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"text": "I'll conduct a comprehensive competitive analysis of the enterprise CRM market. To ensure I deliver exactly what you need, please clarify:\n\n1. **Geographic Scope**: Global analysis or specific regions/countries?\n2. **Company Size**: Fortune 500, mid-market, or all enterprise segments?\n3. **Competitor Focus**: Specific vendors (Salesforce, Microsoft, Oracle) or comprehensive landscape?\n4. **Time Horizon**: Current state only or include 3-5 year projections?\n5. **Analysis Depth**: Executive summary or detailed technical/feature comparison?\n6. **Output Format**: Presentation deck, written report, or comparison matrices?\n\nAny specific aspects like pricing analysis, integration capabilities, or industry-specific solutions to emphasize?"
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}
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}
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~~~

python/tools/response.py

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class ResponseTool(Tool):
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async def execute(self, **kwargs):
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return Response(message=self.args["text"], break_loop=True)
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return Response(message=self.args["message"] if "message" in self.args else self.args["text"], break_loop=True)
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async def before_execution(self, **kwargs):
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# self.log = self.agent.context.log.log(type="response", heading=f"{self.agent.agent_name}: Responding", content=self.args.get("text", ""))

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