Class: LangGraphRB::LLMBase

Inherits:
Object
  • Object
show all
Defined in:
lib/langgraph_rb/llm_base.rb

Overview

Abstract base for chat LLM clients. Implementations must provide #call(messages, tools: nil) and may support #bind_tools.

Direct Known Subclasses

ChatOpenAI, ChatRubyOpenAI

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(model:, temperature: 0.0) ⇒ LLMBase 



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# File 'lib/langgraph_rb/llm_base.rb', line 9

def initialize(model:, temperature: 0.0)
  @model = model
  @temperature = temperature
  @bound_tools = []
  @observers = []
  @node_name = nil
end

Instance Attribute Details

#model ⇒ Object (readonly)

Returns the value of attribute model.



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# File 'lib/langgraph_rb/llm_base.rb', line 7

def model
  @model
end

#temperature ⇒ Object (readonly)

Returns the value of attribute temperature.



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# File 'lib/langgraph_rb/llm_base.rb', line 7

def temperature
  @temperature
end

Instance Method Details

#bind_tools(tools) ⇒ Object 



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# File 'lib/langgraph_rb/llm_base.rb', line 23

def bind_tools(tools)
  @bound_tools = Array(tools)
  self
end

#bound_tools ⇒ Object 



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# File 'lib/langgraph_rb/llm_base.rb', line 28

def bound_tools
  @bound_tools
end

#call(_messages, tools: nil) ⇒ Object

Raises:

  • (NotImplementedError) 


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# File 'lib/langgraph_rb/llm_base.rb', line 32

def call(_messages, tools: nil)
  raise NotImplementedError, "Subclasses must implement #call(messages, tools: nil)"
end

#set_observers(observers, node_name) ⇒ Object

Called by runtime to allow LLM client to emit tracing/telemetry events



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# File 'lib/langgraph_rb/llm_base.rb', line 18

def set_observers(observers, node_name)
  @observers = Array(observers)
  @node_name = node_name
end