aiq.agent.base#

Attributes#

`log`
`TOOL_NOT_FOUND_ERROR_MESSAGE`
`INPUT_SCHEMA_MESSAGE`
`NO_INPUT_ERROR_MESSAGE`
`AGENT_LOG_PREFIX`
`AGENT_RESPONSE_LOG_MESSAGE`
`TOOL_RESPONSE_LOG_MESSAGE`

Classes#

`AgentDecision`	Create a collection of name/value pairs.
`BaseAgent`	Helper class that provides a standard way to create an ABC using

Module Contents#

log#

TOOL_NOT_FOUND_ERROR_MESSAGE = 'There is no tool named {tool_name}. Tool must be one of {tools}.'#

INPUT_SCHEMA_MESSAGE = '. Arguments must be provided as a valid JSON object following this format: {schema}'#

NO_INPUT_ERROR_MESSAGE = 'No human input recieved to the agent, Please ask a valid question.'#

AGENT_LOG_PREFIX = '[AGENT]'#

AGENT_RESPONSE_LOG_MESSAGE#

TOOL_RESPONSE_LOG_MESSAGE#

class AgentDecision(*args, **kwds)#

Bases: enum.Enum

Create a collection of name/value pairs.

Example enumeration:

>>> class Color(Enum):
...     RED = 1
...     BLUE = 2
...     GREEN = 3

Access them by:

attribute access:
```
>>> Color.RED
<Color.RED: 1>
```
value lookup:
```
>>> Color(1)
<Color.RED: 1>
```
name lookup:
```
>>> Color['RED']
<Color.RED: 1>
```

Enumerations can be iterated over, and know how many members they have:

>>> len(Color)
3

>>> list(Color)
[<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

Methods can be added to enumerations, and members can have their own attributes – see the documentation for details.

TOOL = 'tool'#

END = 'finished'#

class BaseAgent( llm: langchain_core.language_models.BaseChatModel, tools: list[langchain_core.tools.BaseTool], callbacks: list[langchain_core.callbacks.AsyncCallbackHandler] = None, detailed_logs: bool = False, )#

Bases: abc.ABC

Helper class that provides a standard way to create an ABC using inheritance.

llm#

tools#

callbacks = []#

detailed_logs = False#

graph = None#

abstractmethod _build_graph(state_schema) → langgraph.graph.graph.CompiledGraph#

Async: