Files
chatwoot/spec/enterprise/models/concerns/agentable_spec.rb

227 lines
6.7 KiB
Ruby

# frozen_string_literal: true
require 'rails_helper'
RSpec.describe Concerns::Agentable do
let(:dummy_class) do
Class.new do
include Concerns::Agentable
attr_reader :account
attr_accessor :temperature
def initialize(name: 'Test Agent', temperature: 0.8, account: nil)
@name = name
@temperature = temperature
@account = account
end
def self.name
'DummyClass'
end
private
def agent_name
@name
end
def prompt_context
{ base_key: 'base_value' }
end
end
end
let(:account) { create(:account) }
let(:dummy_instance) { dummy_class.new(account: account) }
let(:mock_agents_agent) { instance_double(Agents::Agent) }
before do
InstallationConfig.where(name: 'CAPTAIN_OPEN_AI_MODEL').destroy_all
allow(Agents::Agent).to receive(:new).and_return(mock_agents_agent)
allow(Captain::PromptRenderer).to receive(:render).and_return('rendered_template')
end
describe '#agent' do
it 'creates an Agents::Agent with correct parameters' do
expect(Agents::Agent).to receive(:new).with(
name: 'Test Agent',
instructions: instance_of(Proc),
tools: [],
model: Llm::Models.default_model_for('assistant'),
temperature: 0.8,
response_schema: Captain::ResponseSchema
)
dummy_instance.agent
end
it 'uses default temperature when temperature is nil' do
dummy_instance.temperature = nil
expect(Agents::Agent).to receive(:new).with(
hash_including(temperature: 0.5)
)
dummy_instance.agent
end
it 'converts temperature to float' do
dummy_instance.temperature = '0.5'
expect(Agents::Agent).to receive(:new).with(
hash_including(temperature: 0.5)
)
dummy_instance.agent
end
end
describe '#agent_instructions' do
it 'calls Captain::PromptRenderer with base context' do
expect(Captain::PromptRenderer).to receive(:render).with(
'dummy_class',
hash_including(base_key: 'base_value')
)
dummy_instance.agent_instructions
end
it 'merges context state when provided' do
context_double = instance_double(Agents::RunContext,
context: {
state: {
assistant_config: { 'feature_contact_attributes' => true },
conversation: { id: 123 },
contact: { name: 'John' }
}
})
expected_context = {
base_key: 'base_value',
conversation: { id: 123 },
contact: { name: 'John' },
campaign: {}
}
expect(Captain::PromptRenderer).to receive(:render).with(
'dummy_class',
hash_including(expected_context)
)
dummy_instance.agent_instructions(context_double)
end
it 'merges campaign data from context state' do
context_double = instance_double(Agents::RunContext,
context: {
state: {
conversation: { id: 123 },
contact: { name: 'John' },
campaign: { id: 10, title: 'Summer Sale', message: 'Check it out' }
}
})
expect(Captain::PromptRenderer).to receive(:render).with(
'dummy_class',
hash_including(
campaign: { id: 10, title: 'Summer Sale', message: 'Check it out' }
)
)
dummy_instance.agent_instructions(context_double)
end
it 'handles context without state' do
context_double = instance_double(Agents::RunContext, context: {})
expect(Captain::PromptRenderer).to receive(:render).with(
'dummy_class',
hash_including(
base_key: 'base_value',
conversation: {},
contact: nil,
campaign: {}
)
)
dummy_instance.agent_instructions(context_double)
end
end
describe '#template_name' do
it 'returns underscored class name' do
expect(dummy_instance.send(:template_name)).to eq('dummy_class')
end
end
describe '#agent_tools' do
it 'returns empty array by default' do
expect(dummy_instance.send(:agent_tools)).to eq([])
end
end
describe '#agent_model' do
it 'returns the assistant feature default model' do
expect(dummy_instance.send(:agent_model)).to eq(Llm::Models.default_model_for('assistant'))
end
it 'returns account override model when present' do
create(:installation_config, name: 'CAPTAIN_OPEN_AI_MODEL', value: 'gpt-4.1-nano')
account.update!(captain_models: { 'assistant' => 'gpt-5.2' })
expect(dummy_instance.send(:agent_model)).to eq('gpt-5.2')
end
it 'returns the installation model when account override is absent' do
create(:installation_config, name: 'CAPTAIN_OPEN_AI_MODEL', value: 'gpt-4.1-nano')
expect(dummy_instance.send(:agent_model)).to eq('gpt-4.1-nano')
end
it 'returns the Captain V2 default when Captain V2 is enabled' do
create(:installation_config, name: 'CAPTAIN_OPEN_AI_MODEL', value: 'gpt-4.1-nano')
account.enable_features!('captain_integration_v2')
expect(dummy_instance.send(:agent_model)).to eq(Llm::FeatureRouter::CAPTAIN_V2_ASSISTANT_MODEL)
expect(account.reload.captain_models).to be_nil
end
it 'returns the assistant feature default model when account is nil' do
agent = dummy_class.new(account: nil)
expect(agent.send(:agent_model)).to eq(Llm::Models.default_model_for('assistant'))
end
end
describe '#agent_response_schema' do
it 'returns Captain::ResponseSchema' do
expect(dummy_instance.send(:agent_response_schema)).to eq(Captain::ResponseSchema)
end
end
describe 'required methods' do
let(:incomplete_class) do
Class.new do
include Concerns::Agentable
end
end
let(:incomplete_instance) { incomplete_class.new }
describe '#agent_name' do
it 'raises NotImplementedError when not implemented' do
expect { incomplete_instance.send(:agent_name) }
.to raise_error(NotImplementedError, /must implement agent_name/)
end
end
describe '#prompt_context' do
it 'raises NotImplementedError when not implemented' do
expect { incomplete_instance.send(:prompt_context) }
.to raise_error(NotImplementedError, /must implement prompt_context/)
end
end
end
end