prebuilt.misc.agent_utilities_models¶
Agent Utilities Models.
This module provides consolidated models for various agent utility functions including goal decomposition, decision analysis, resource planning, quality assessment, workflow optimization, and communication planning.
Classes¶
Types of bottlenecks in processes. |
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How often to communicate with stakeholders. |
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Communication plan for a stakeholder. |
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Complete decision analysis framework. |
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Criteria for evaluating decision options. |
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Option to be evaluated for a decision. |
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Types of decisions that need to be made. |
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Complete goal decomposition structure. |
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Status of goal completion. |
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Types of goals. |
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Level of influence a stakeholder has. |
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Level of interest a stakeholder has. |
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Priority levels for goals and tasks. |
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Identified bottleneck in a process. |
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Individual step in a process. |
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Types of processes that can be optimized. |
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Complete quality assessment report. |
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Dimensions of quality to assess. |
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Quality issue or defect. |
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Individual quality metric definition. |
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Individual resource definition. |
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Availability status of resources. |
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Complete resource planning document. |
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Requirement for a specific resource. |
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Types of resources needed for projects. |
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Individual stakeholder in a project or initiative. |
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Types of stakeholders in projects or initiatives. |
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Individual sub-goal within a larger goal decomposition. |
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Complete workflow optimization analysis. |
Module Contents¶
- class prebuilt.misc.agent_utilities_models.BottleneckType¶
-
Types of bottlenecks in processes.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.CommunicationFrequency¶
-
How often to communicate with stakeholders.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.CommunicationPlan(/, **data)¶
Bases:
pydantic.BaseModelCommunication plan for a stakeholder.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.DecisionAnalysis(/, **data)¶
Bases:
pydantic.BaseModelComplete decision analysis framework.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.DecisionCriteria(/, **data)¶
Bases:
pydantic.BaseModelCriteria for evaluating decision options.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.DecisionOption(/, **data)¶
Bases:
pydantic.BaseModelOption to be evaluated for a decision.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.DecisionType¶
-
Types of decisions that need to be made.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.GoalDecomposition(/, **data)¶
Bases:
pydantic.BaseModelComplete goal decomposition structure.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.GoalStatus¶
-
Status of goal completion.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.GoalType¶
-
Types of goals.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.InfluenceLevel¶
-
Level of influence a stakeholder has.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.InterestLevel¶
-
Level of interest a stakeholder has.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.PriorityLevel¶
-
Priority levels for goals and tasks.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.ProcessBottleneck(/, **data)¶
Bases:
pydantic.BaseModelIdentified bottleneck in a process.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.ProcessStep(/, **data)¶
Bases:
pydantic.BaseModelIndividual step in a process.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.ProcessType¶
-
Types of processes that can be optimized.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.QualityAssessment(/, **data)¶
Bases:
pydantic.BaseModelComplete quality assessment report.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.QualityDimension¶
-
Dimensions of quality to assess.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.QualityIssue(/, **data)¶
Bases:
pydantic.BaseModelQuality issue or defect.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.QualityMetric(/, **data)¶
Bases:
pydantic.BaseModelIndividual quality metric definition.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.Resource(/, **data)¶
Bases:
pydantic.BaseModelIndividual resource definition.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.ResourceAvailability¶
-
Availability status of resources.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.ResourcePlan(/, **data)¶
Bases:
pydantic.BaseModelComplete resource planning document.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.ResourceRequirement(/, **data)¶
Bases:
pydantic.BaseModelRequirement for a specific resource.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.ResourceType¶
-
Types of resources needed for projects.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.Stakeholder(/, **data)¶
Bases:
pydantic.BaseModelIndividual stakeholder in a project or initiative.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.StakeholderType¶
-
Types of stakeholders in projects or initiatives.
Initialize self. See help(type(self)) for accurate signature.
- class prebuilt.misc.agent_utilities_models.SubGoal(/, **data)¶
Bases:
pydantic.BaseModelIndividual sub-goal within a larger goal decomposition.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)
- class prebuilt.misc.agent_utilities_models.WorkflowOptimization(/, **data)¶
Bases:
pydantic.BaseModelComplete workflow optimization analysis.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Parameters:
data (Any)