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All specs 351 total

All specs Real LLM only Function bodies
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-part, natural-language string explaining an agent's decision. It accepts a list of audit events, the final decision string, and a list of contributing factors as inputs. The function outputs a formatted string detailing the decision, listing the provided factors, and summarizing the reasoning from the first and last recorded events. No external state is modified by this operation.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language explanation string summarizing an agent's decision-making process. It accepts a list of audit events, the final decision string, and a list of contributing factors as inputs. The function outputs a single formatted string that includes the decision, a count and list of factors, and the initial and final reasoning steps from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language string explanation detailing an agent's decision and the reasoning behind it. It accepts a list of AuditEvent objects, a string representing the final decision, and a list of contributing factor strings. The function returns a single formatted string that summarizes the decision, lists the contributing factors, and provides the initial and final reasoning steps from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language string explaining an agent's decision. It accepts a list of AuditEvent objects detailing the process, the final decision string, and a list of contributing factor strings. The function returns a single formatted string containing the decision, a count of the steps, a bulleted list of factors, and summaries of the initial and final reasoning steps.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-section, natural-language string explanation detailing an agent's decision. It accepts a list of AuditEvent objects representing the process steps, a string for the final decision, and a list of strings for contributing factors. The function returns a formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning or summaries from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph natural language string that explains an agent's decision. It accepts a list of AuditEvent objects, a decision string, and a list of contributing factor strings as inputs. The function outputs a formatted string detailing the decision, listing all provided factors, and summarizing the reasoning process by extracting the initial reasoning/input summary from the first event and the final reasoning/output summary from the last event.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph natural language string that explains a system's decision. It accepts a list of AuditEvent objects detailing the process steps, a string representing the final decision, and a list of strings representing contributing factors. The function returns a formatted string containing the decision, a count of the steps, a bulleted list of factors, and summaries of the initial and final reasoning steps from the event list.
Want this analysis on your repo? https://repobility.com/scan/
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language string that explains an agent's decision. It accepts a list of AuditEvent objects, a string representing the final decision, and a list of contributing factor strings. The function returns a single formatted string containing the decision, a count of the involved events, a bulleted list of factors, and summaries of the initial and final reasoning steps from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph natural language string that explains a system's decision. It accepts a list of AuditEvent objects detailing the process steps, a string representing the final decision, and a list of strings detailing contributing factors. The function outputs a formatted string containing the decision, the count and list of factors, and summaries of the initial and final reasoning steps from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the supporting evidence. It accepts a list of AuditEvent objects, a string representing the final decision, and a list of contributing factor strings. The function returns a single formatted string that summarizes the decision, lists the provided factors, and includes the initial and final reasoning or summary from the sequence of events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language string explaining an agent's decision. It accepts a list of audit events, the final decision string, and a list of contributing factors as inputs. The function outputs a formatted string that summarizes the decision, lists the contributing factors, and details the reasoning process by extracting the initial and final reasoning steps from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a formatted, multi-paragraph natural language string that explains an agent's decision. It accepts a list of audit events, the final decision string, and a list of contributing factors as inputs. The function outputs a single string containing the decision, a summary of the contributing factors, and a detailed narrative showing the initial reasoning and the final conclusion from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a formatted, multi-paragraph string that explains a system's decision and the reasoning behind it. It accepts a list of AuditEvent objects detailing the process steps, a string representing the final decision, and a list of strings detailing contributing factors. The function outputs a single string containing the structured explanation, which includes the decision, the count and list of factors, and summaries of the initial and final reasoning steps from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the reasoning behind it. It accepts a list of AuditEvent objects representing the steps taken, a string detailing the final decision, and a list of strings for supplementary factors. The function returns a single formatted string that summarizes the decision, lists the contributing factors, and provides the initial and final reasoning from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the reasoning behind it. It accepts a list of AuditEvent objects representing the process steps, a string detailing the final decision, and a list of strings for supplementary factors. The function returns a single formatted string containing the decision, a summary of the contributing factors, and the initial and final reasoning steps from the provided events.
Same scanner, your repo: https://repobility.com — Repobility
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language explanation string detailing an agent's decision and the evidence supporting it. It accepts a list of AuditEvent objects representing the process steps, a string containing the final decision, and a list of strings detailing contributing factors. The function returns a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning or summaries from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the reasoning behind it. It accepts a list of AuditEvent objects representing the decision steps, a string for the final decision, and a list of strings for contributing factors. The function returns a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a formatted, multi-paragraph string that explains a system's decision and the reasoning behind it. It accepts a list of AuditEvent objects detailing the process steps, a string representing the final decision, and a list of strings detailing contributing factors. The function returns a single string containing the full explanation, which includes the decision, a list of factors, and summaries of the initial and final reasoning steps from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language explanation string detailing an agent's decision-making process. It accepts a list of AuditEvent objects representing the steps taken, a string containing the final decision, and a list of strings detailing contributing factors. The function returns a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning or summaries from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph natural language string that explains an agent's decision. It accepts a list of AuditEvent objects, a decision string, and a list of contributing factor strings as inputs. The resulting string summarizes the decision, lists the provided factors, and details the initial and final reasoning steps from the sequence of events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language string explaining an agent's decision. It accepts a list of AuditEvent objects detailing the process, a string representing the final decision, and a list of contributing factor strings. The function outputs a formatted string that summarizes the decision, lists the contributing factors, and provides the initial and final reasoning steps from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language string explaining an agent's decision. It accepts a list of AuditEvent objects detailing the process, a string representing the final decision, and a list of contributing factor strings. The function returns a single formatted string that summarizes the decision, lists the contributing factors, and provides the initial and final reasoning steps from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph natural language string that explains a decision made by an agent. It accepts a list of AuditEvent objects detailing the process steps, a string representing the final decision, and a list of strings detailing contributing factors. The function returns a single formatted string containing the decision, the count and list of factors, and summaries of the initial and final reasoning steps from the provided events.
Repobility · open methodology · https://repobility.com/research/
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language explanation string detailing an agent's decision and the supporting evidence. It accepts a list of AuditEvent objects representing the process steps, a string containing the final decision, and a list of strings detailing contributing factors. The function returns a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning or summary from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language explanation string detailing an agent's decision and the reasoning behind it. It accepts a list of AuditEvent objects representing the steps taken, a string for the final decision, and a list of strings detailing contributing factors. The function outputs a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning summaries from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language explanation string detailing an agent's decision-making process. It accepts a list of AuditEvent objects representing the steps taken, the final decision string, and a list of contributing factor strings. The function returns a single formatted string that summarizes the decision, lists the contributing factors, and provides the initial and final reasoning or summary from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language string explaining an agent's decision. It accepts a list of AuditEvent objects detailing the process steps, a string representing the final decision, and a list of contributing factor strings. The function outputs a formatted string that summarizes the decision, lists all contributing factors, and provides the initial and final reasoning or summary from the sequence of events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the supporting evidence. It accepts a list of AuditEvent objects, a string representing the final decision, and a list of contributing factor strings. The function returns a single formatted string that summarizes the decision, lists the provided factors, and includes the initial and final reasoning or summary from the sequence of events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language explanation string detailing an agent's decision and the reasoning behind it. It accepts a list of AuditEvent objects representing the decision steps, a string containing the final decision, and a list of strings detailing contributing factors. The function returns a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning steps from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the supporting evidence. It accepts a list of AuditEvent objects representing the process steps, a string detailing the final decision, and a list of strings for specific contributing factors. The function returns a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning or summaries from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language string explanation detailing an agent's decision and the supporting evidence. It accepts a list of AuditEvent objects, a decision string, and a list of factor strings as inputs. The function outputs a formatted string that summarizes the decision, lists contributing factors, and provides the initial and final reasoning steps from the provided events.
Repobility — same analyzer, your code, free for public repos · /scan/
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language string explaining an agent's decision. It accepts a list of AuditEvent objects detailing the process, a string representing the final decision, and a list of contributing factor strings. The function returns a single formatted string that summarizes the decision, lists the contributing factors, and provides the initial and final reasoning steps from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the reasoning behind it. It accepts a list of AuditEvent objects representing the decision steps, a string containing the final decision, and a list of strings detailing contributing factors. The function outputs a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning steps from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the supporting evidence. It accepts a list of AuditEvent objects, a string representing the final decision, and a list of contributing factor strings. The function returns a single formatted string that summarizes the decision, lists the factors, and includes the initial and final reasoning steps from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a formatted, multi-paragraph string that explains a system's decision and the reasoning behind it. It accepts a list of AuditEvent objects detailing the process steps, a string representing the final decision, and a list of strings detailing contributing factors. The function returns a single string containing the complete natural-language explanation, which includes the decision, the count and list of factors, and summaries of the initial and final reasoning steps from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph natural language string that explains an agent's decision. It accepts a list of AuditEvent objects, a decision string, and a list of contributing factor strings as inputs. The resulting string summarizes the decision, lists the provided factors, and details the reasoning process by extracting the initial and final reasoning or summary from the provided event list.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph natural language string that explains an agent's decision. It accepts a list of AuditEvent objects detailing the process, a string representing the final decision, and a list of contributing factor strings. The function outputs a formatted string containing the decision, a summary of the contributing factors, and the initial and final reasoning steps from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language string explaining an agent's decision. It accepts a list of AuditEvent objects detailing the process, a string representing the final decision, and a list of strings for contributing factors. The function outputs a formatted string that summarizes the decision, lists the contributing factors, and details the initial and final reasoning steps from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph natural language string that explains an agent's decision. It accepts a list of AuditEvent objects, a string representing the final decision, and a list of contributing factor strings. The function returns a formatted string containing the decision, a count and list of factors, and summaries of the initial and final reasoning steps from the provided events.
Want this analysis on your repo? https://repobility.com/scan/
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language string that explains a system's decision. It accepts a list of AuditEvent objects, a string representing the final decision, and a list of contributing factor strings. The function outputs a formatted string containing an introduction of the decision, a list of factors, and summaries of the initial and final reasoning steps derived from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the reasoning behind it. It accepts a list of AuditEvent objects representing the steps taken, a string for the final decision, and a list of strings detailing contributing factors. The function returns a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning or summaries from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language string explaining an agent's decision. It accepts a list of AuditEvent objects detailing the process, a string representing the final decision, and a list of contributing factor strings. The function outputs a formatted string that summarizes the decision, lists the contributing factors, and provides the initial and final reasoning steps from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the supporting evidence. It accepts a list of AuditEvent objects representing the process steps, a string for the final decision, and a list of strings detailing contributing factors. The function returns a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning or summaries from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language string explanation detailing an agent's decision and the reasoning behind it. It accepts a list of AuditEvent objects, a string representing the final decision, and a list of contributing factor strings. The function outputs a formatted string that summarizes the decision, lists the provided factors, and includes the initial and final reasoning steps derived from the first and last events in the provided list.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the supporting evidence. It accepts a list of AuditEvent objects, a string representing the final decision, and a list of contributing factor strings. The function returns a formatted string that summarizes the decision, lists the provided factors, and includes the initial reasoning and final output summaries from the sequence of events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language string explaining an agent's decision. It accepts a list of AuditEvent objects detailing the process, a string representing the final decision, and a list of contributing factor strings. The function outputs a single formatted string that summarizes the decision, lists the contributing factors, and provides the initial and final reasoning steps from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language explanation string detailing an agent's decision-making process. It accepts a list of AuditEvent objects representing the steps taken, a string for the final decision, and a list of strings detailing contributing factors. The function returns a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning or summaries from the event history.
Same scanner, your repo: https://repobility.com — Repobility
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-paragraph, natural-language explanation string detailing an agent's decision and the supporting evidence. It accepts a list of AuditEvent objects, a decision string, and a list of factor strings as inputs. The function outputs a single formatted string that summarizes the decision, lists contributing factors, and provides the initial and final reasoning steps from the provided events.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a multi-section, natural-language explanation string detailing an agent's decision and the evidence supporting it. It accepts a list of AuditEvent objects representing the decision steps, a string containing the final decision, and a list of strings detailing contributing factors. The function returns a single formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning or summaries from the event history.
_build_explanation_textREAL LLM gemma4:latest · · unknown
src/aumai_transparency/core.py
Constructs a detailed, multi-paragraph natural language explanation string detailing an agent's decision-making process. It accepts a list of AuditEvent objects representing the steps taken, a string containing the final decision, and a list of strings detailing contributing factors. The function outputs a formatted string that summarizes the decision, lists the factors, and provides the initial and final reasoning or summary from the sequence of events.
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