Module: LangsmithrbRails::Wrappers::LLM

Defined in:
lib/langsmithrb_rails/wrappers/llm.rb

Overview

Wrapper for generic LLM providers

Class Method Summary collapse

Class Method Details

.traceable(object, method_name, run_name: nil, project_name: nil, tags: []) ⇒ Object

Create a traceable decorator for any method

Parameters:

  • object (Object) —

    The object with the method to trace

  • method_name (Symbol) —

    The name of the method to trace

  • run_name (String) (defaults to: nil) —

    Name for the run

  • project_name (String) (defaults to: nil) —

    Optional project name for traces

  • tags (Array<String>) (defaults to: []) —

    Optional tags for traces

Returns:

  • (Object) —

    The object with the traced method



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# File 'lib/langsmithrb_rails/wrappers/llm.rb', line 98

def self.traceable(object, method_name, run_name: nil, project_name: nil, tags: [])
  run_name ||= "#{object.class.name}.#{method_name}"
  
  # Store the original method
  original_method = object.method(method_name)
  
  # Define a new method that wraps the original
  object.define_singleton_method(method_name) do |*args, **kwargs, &block|
    # Prepare inputs for tracing
    inputs = {
      args: args,
      kwargs: kwargs
    }.compact
    
    # Create a run
    run_id = nil
    begin
      run = LangsmithrbRails::Wrappers::Base.create_run(
        run_name,
        inputs,
        run_type: "chain",
        project_name: project_name,
        tags: tags
      )
      run_id = run&.dig("id")
    rescue => e
      LangsmithrbRails.logger.error("Failed to create LangSmith run: #{e.message}")
    end
    
    # Call the original method
    begin
      result = original_method.call(*args, **kwargs, &block)
      
      # Update the run with the result
      if run_id
        outputs = { result: result }
        LangsmithrbRails::Wrappers::Base.update_run(run_id, outputs)
      end
      
      result
    rescue => e
      # Update the run with the error
      if run_id
        LangsmithrbRails::Wrappers::Base.update_run(run_id, {}, error: e.message)
      end
      raise e
    end
  end
  
  object
end

.wrap(llm, project_name: nil, tags: []) ⇒ Object

Wrap an LLM with LangSmith tracing

Parameters:

  • llm (Object) —

    The LLM to wrap

  • project_name (String) (defaults to: nil) —

    Optional project name for traces

  • tags (Array<String>) (defaults to: []) —

    Optional tags for traces

Returns:

  • (Object) —

    The wrapped LLM



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# File 'lib/langsmithrb_rails/wrappers/llm.rb', line 14

def self.wrap(llm, project_name: nil, tags: [])
  # Create a wrapper class
  wrapper_class = Class.new do
    attr_reader :llm, :project_name, :tags

    def initialize(llm, project_name, tags)
      @llm = llm
      @project_name = project_name
      @tags = tags
    end

    # Wrap the call method
    def call(prompt, **params)
      # Prepare inputs for tracing
      inputs = {
        prompt: prompt
      }.merge(params).compact

      # Create a run
      run_id = nil
      begin
        run = LangsmithrbRails::Wrappers::Base.create_run(
          "llm.call",
          inputs,
          run_type: "llm",
          project_name: project_name,
          tags: tags
        )
        run_id = run&.dig("id")
      rescue => e
        LangsmithrbRails.logger.error("Failed to create LangSmith run: #{e.message}")
      end

      # Call the original method
      begin
        result = if llm.respond_to?(:call)
          llm.call(prompt, **params)
        elsif llm.is_a?(Proc)
          llm.call(prompt, **params)
        else
          raise ArgumentError, "LLM must respond to 'call' or be a Proc"
        end

        # Update the run with the result
        if run_id
          outputs = { response: result }
          LangsmithrbRails::Wrappers::Base.update_run(run_id, outputs)
        end

        result
      rescue => e
        # Update the run with the error
        if run_id
          LangsmithrbRails::Wrappers::Base.update_run(run_id, {}, error: e.message)
        end
        raise e
      end
    end

    # Forward other methods to the original LLM
    def method_missing(method_name, *args, **kwargs, &block)
      if llm.respond_to?(method_name)
        llm.send(method_name, *args, **kwargs, &block)
      else
        super
      end
    end

    def respond_to_missing?(method_name, include_private = false)
      llm.respond_to?(method_name, include_private) || super
    end
  end

  # Create and return an instance of the wrapper class
  wrapper_class.new(llm, project_name, tags)
end