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015e1a41b2
* feat: support to define a guardrail task no-code * feat: add auto-discovery for Guardrail code execution mode * feat: handle malformed or invalid response from CodeInterpreterTool * feat: allow to set unsafe_mode from Guardrail task * feat: renaming GuardrailTask to TaskGuardrail * feat: ensure guardrail is callable while initializing Task * feat: remove Docker availability check from TaskGuardrail The CodeInterpreterTool already ensures compliance with this requirement. * refactor: replace if/raise with assert For this use case `assert` is more appropriate choice * test: remove useless or duplicated test * fix: attempt to fix type-checker * feat: support to define a task guardrail using YAML config * refactor: simplify TaskGuardrail to use LLM for validation, no code generation * docs: update TaskGuardrail doc strings * refactor: drop task paramenter from TaskGuardrail This parameter was used to get the model from the `task.agent` which is a quite bit redudant since we could propagate the llm directly
19 lines
735 B
YAML
19 lines
735 B
YAML
research_task:
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description: >
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Conduct a thorough research about {topic}
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Make sure you find any interesting and relevant information given
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the current year is 2025.
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expected_output: >
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A list with 10 bullet points of the most relevant information about {topic}
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agent: researcher
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guardrail: ensure each bullet contains its source
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reporting_task:
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description: >
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Review the context you got and expand each topic into a full section for a report.
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Make sure the report is detailed and contains any and all relevant information.
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expected_output: >
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A fully fledge reports with the mains topics, each with a full section of information.
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Formatted as markdown without '```'
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agent: reporting_analyst
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