feat(captain): route llm calls by provider

config/installation_config.yml

@@ -195,6 +195,24 @@
   display_title: 'OpenAI API Endpoint (optional)'
   description: 'The OpenAI endpoint configured for use in Captain AI. Default: https://api.openai.com/'
   locked: false
+- name: CAPTAIN_ANTHROPIC_API_KEY
+  display_title: 'Anthropic API Key'
+  description: 'The API key used to authenticate requests to Anthropic models for Captain AI.'
+  locked: false
+  type: secret
+- name: CAPTAIN_ANTHROPIC_API_BASE
+  display_title: 'Anthropic API Base (optional)'
+  description: 'The Anthropic endpoint configured for use in Captain AI. Defaults to RubyLLM provider settings.'
+  locked: false
+- name: CAPTAIN_GEMINI_API_KEY
+  display_title: 'Gemini API Key'
+  description: 'The API key used to authenticate requests to Gemini models for Captain AI.'
+  locked: false
+  type: secret
+- name: CAPTAIN_GEMINI_API_BASE
+  display_title: 'Gemini API Base (optional)'
+  description: 'The Gemini endpoint configured for use in Captain AI. Defaults to RubyLLM provider settings.'
+  locked: false
 - name: CAPTAIN_EMBEDDING_MODEL
   display_title: 'Embedding Model (optional)'
   description: 'The embedding model configured for use in Captain AI. Default: text-embedding-3-small'

enterprise/app/services/llm/base_ai_service.rb

@@ -6,7 +6,7 @@ class Llm::BaseAiService
   DEFAULT_MODEL = Llm::Config::DEFAULT_MODEL
   DEFAULT_TEMPERATURE = 1.0
 
-  attr_reader :model, :temperature
+  attr_reader :model, :provider, :temperature
 
   def initialize(feature: nil, account: nil, fallback_model: nil)
     @llm_feature = feature
@@ -19,7 +19,8 @@ class Llm::BaseAiService
   end
 
   def chat(model: @model, temperature: @temperature)
-    RubyLLM.chat(model: model).with_temperature(temperature)
+    chat = RubyLLM.chat(model: model, provider: provider_for_model(model), assume_model_exists: true).with_temperature(temperature)
+    Llm::ProviderChat.new(chat, provider: provider_for_model(model))
   end
 
   private
@@ -34,9 +35,13 @@ class Llm::BaseAiService
 
   def setup_model
     route = feature_route
-    return @model = route[:model] if account_override_route?(route)
+    if account_override_route?(route)
+      @model = route[:model]
+      return setup_provider(route)
+    end
 
     @model = @fallback_model.presence || installation_model.presence || route&.dig(:model) || DEFAULT_MODEL
+    setup_provider(route)
   end
 
   def feature_route
@@ -53,6 +58,14 @@ class Llm::BaseAiService
     InstallationConfig.find_by(name: 'CAPTAIN_OPEN_AI_MODEL')&.value
   end
 
+  def setup_provider(route)
+    @provider = provider_for_model(@model, route&.dig(:provider))
+  end
+
+  def provider_for_model(model, fallback_provider = Llm::Config::DEFAULT_PROVIDER)
+    Llm::Models.provider_for(model) || fallback_provider || Llm::Config::DEFAULT_PROVIDER
+  end
+
   def setup_temperature
     @temperature = DEFAULT_TEMPERATURE
   end

lib/captain/base_task_service.rb

@@ -31,24 +31,24 @@ class Captain::BaseTaskService
     @conversation ||= account.conversations.find_by(display_id: conversation_display_id)
   end
 
-  def api_base
-    endpoint = InstallationConfig.find_by(name: 'CAPTAIN_OPEN_AI_ENDPOINT')&.value.presence || 'https://api.openai.com/'
-    endpoint = endpoint.chomp('/')
-    "#{endpoint}/v1"
-  end
+  def api_base = Llm::Config.api_base_for(llm_provider)
 
   def make_api_call(messages:, model: nil, feature: nil, schema: nil, tools: [])
+    llm_route = resolved_llm_route(model: model, feature: feature)
+
     # Community edition prerequisite checks
     # Enterprise module handles these with more specific error messages (cloud vs self-hosted)
     return { error: I18n.t('captain.disabled'), error_code: 403 } unless captain_tasks_enabled?
-    return { error: I18n.t('captain.api_key_missing'), error_code: 401 } unless api_key_configured?
+    return { error: I18n.t('captain.api_key_missing'), error_code: 401 } unless api_key_configured?(llm_route[:provider])
 
-    model = resolved_model(model: model, feature: feature)
-    instrumentation_params = build_instrumentation_params(model, messages)
-    instrumentation_method = tools.any? ? :instrument_tool_session : :instrument_llm_call
+    @llm_provider = llm_route[:provider]
+    model = llm_route[:model]
+    request_tools = Llm::Config.supports_tools_and_schema?(llm_route[:provider]) ? tools : []
+    instrumentation_params = build_instrumentation_params(model, messages, llm_route[:provider])
+    instrumentation_method = request_tools.any? ? :instrument_tool_session : :instrument_llm_call
 
     response = send(instrumentation_method, instrumentation_params) do
-      execute_ruby_llm_request(model: model, messages: messages, schema: schema, tools: tools)
+      execute_ruby_llm_request(llm_route: llm_route, messages: messages, schema: schema, tools: request_tools)
     end
 
     return response unless build_follow_up_context? && response[:message].present?
@@ -56,20 +56,28 @@ class Captain::BaseTaskService
     response.merge(follow_up_context: build_follow_up_context(messages, response))
   end
 
-  def resolved_model(model:, feature:)
-    return model if feature.blank?
+  def resolved_llm_route(model:, feature:)
+    return explicit_model_route(model) if feature.blank?
 
     route = Llm::FeatureRouter.resolve(feature: feature, account: account)
-    return model if model.present? && route[:source] == :default
+    resolved_model = model.present? && route[:source] == :default ? model : route[:model]
 
-    route[:model]
+    route.merge(model: resolved_model, provider: provider_for_model(resolved_model, route[:provider]))
   end
 
-  def execute_ruby_llm_request(model:, messages:, schema: nil, tools: [])
-    credential = llm_credential
+  def explicit_model_route(model)
+    resolved_model = model.presence || GPT_MODEL
+    { model: resolved_model, provider: provider_for_model(resolved_model), source: :explicit }
+  end
 
-    Llm::Config.with_api_key(credential[:api_key], api_base: api_base) do |context|
-      chat = build_chat(context, model: model, messages: messages, schema: schema, tools: tools)
+  def provider_for_model(model, fallback_provider = Llm::Config::DEFAULT_PROVIDER) = Llm::Models.provider_for(model) || fallback_provider
+
+  def execute_ruby_llm_request(llm_route:, messages:, schema: nil, tools: [])
+    provider = llm_route[:provider]
+    credential = llm_credential(provider)
+
+    Llm::Config.with_api_key(credential[:api_key], provider: provider, api_base: api_base) do |context|
+      chat = build_chat(context, llm_route: llm_route, messages: messages, schema: schema, tools: tools)
 
       conversation_messages = messages.reject { |m| m[:role] == 'system' }
       return { error: 'No conversation messages provided', error_code: 400, request_messages: messages } if conversation_messages.empty?
@@ -82,15 +90,17 @@ class Captain::BaseTaskService
     { error: e.message, request_messages: messages }
   end
 
-  def build_chat(context, model:, messages:, schema: nil, tools: [])
-    chat = context.chat(model: model)
+  def build_chat(context, llm_route:, messages:, schema: nil, tools: [])
+    model = llm_route[:model]
+    provider = llm_route[:provider]
+    chat = Llm::ProviderChat.new(context.chat(model: model, provider: provider, assume_model_exists: true), provider: provider)
     system_msg = messages.find { |m| m[:role] == 'system' }
     chat.with_instructions(system_msg[:content]) if system_msg
     chat.with_schema(schema) if schema
 
     if tools.any?
       tools.each { |tool| chat = chat.with_tool(tool) }
-      chat.on_end_message { |message| record_generation(chat, message, model) }
+      chat.on_end_message { |message| record_generation(chat, message, model, provider) }
     end
 
     chat
@@ -116,13 +126,14 @@ class Captain::BaseTaskService
     }
   end
 
-  def build_instrumentation_params(model, messages)
+  def build_instrumentation_params(model, messages, provider)
     {
       span_name: "llm.#{event_name}",
       account_id: account.id,
       conversation_id: conversation&.display_id,
       feature_name: event_name,
       model: model,
+      provider: provider,
       messages: messages,
       temperature: nil,
       metadata: instrumentation_metadata
@@ -155,9 +166,7 @@ class Captain::BaseTaskService
     messages
   end
 
-  def captain_tasks_enabled?
-    account.feature_enabled?('captain_tasks')
-  end
+  def captain_tasks_enabled? = account.feature_enabled?('captain_tasks')
 
   # Extension point consulted by the Enterprise quota wrapper. Subclasses
   # whose calls should not consume captain_responses should override this to
@@ -168,43 +177,27 @@ class Captain::BaseTaskService
     llm_credential&.dig(:source) != :hook
   end
 
-  def api_key_configured?
-    llm_credential.present?
+  def api_key_configured?(provider = llm_provider) = llm_credential(provider).present?
+
+  def api_key = llm_credential&.dig(:api_key)
+
+  def llm_provider = @llm_provider || Llm::Config::DEFAULT_PROVIDER
+
+  def llm_credential(provider = llm_provider)
+    @llm_credentials ||= {}
+    @llm_credentials[provider.to_s] ||= Llm::CredentialResolver.new(provider: provider, openai_hook: resolved_openai_hook(provider)).resolve
   end
 
-  def api_key
-    llm_credential&.dig(:api_key)
-  end
+  def resolved_openai_hook(provider) = use_account_openai_hook? && Llm::Config.openai_provider?(provider) ? openai_hook : nil
 
-  def llm_credential
-    @llm_credential ||= if use_account_openai_hook?
-                          hook_llm_credential || system_llm_credential
-                        else
-                          system_llm_credential
-                        end
-  end
+  def use_account_openai_hook? = false
 
-  def use_account_openai_hook?
-    false
-  end
-
-  def hook_llm_credential
-    key = openai_hook&.settings&.dig('api_key').presence
-    { api_key: key, source: :hook } if key
-  end
-
-  def system_llm_credential
-    { api_key: system_api_key, source: :system } if system_api_key.present?
-  end
+  def system_llm_credential(provider = llm_provider) = Llm::CredentialResolver.new(provider: provider).resolve
 
   def openai_hook
     @openai_hook ||= account.hooks.find_by(app_id: 'openai', status: 'enabled')
   end
 
-  def system_api_key
-    @system_api_key ||= InstallationConfig.find_by(name: 'CAPTAIN_OPEN_AI_API_KEY')&.value
-  end
-
   def exception_tracking_account
     account
   end

lib/captain/tool_instrumentation.rb

@@ -38,13 +38,13 @@ module Captain::ToolInstrumentation
     span.status = OpenTelemetry::Trace::Status.error(error.to_s.truncate(1000))
   end
 
-  def record_generation(chat, message, model)
+  def record_generation(chat, message, model, provider = Llm::Config::DEFAULT_PROVIDER)
     return unless ChatwootApp.otel_enabled?
     return unless message.respond_to?(:role) && message.role.to_s == 'assistant'
 
     tracer.in_span("llm.#{event_name}.generation") do |span|
       apply_current_langfuse_attributes(span)
-      span.set_attribute(ATTR_GEN_AI_PROVIDER, 'openai')
+      span.set_attribute(ATTR_GEN_AI_PROVIDER, provider)
       span.set_attribute(ATTR_GEN_AI_REQUEST_MODEL, model)
       span.set_attribute(ATTR_GEN_AI_USAGE_INPUT_TOKENS, message.input_tokens)
       span.set_attribute(ATTR_GEN_AI_USAGE_OUTPUT_TOKENS, message.output_tokens) if message.respond_to?(:output_tokens)

lib/integrations/llm_base_service.rb

@@ -84,13 +84,12 @@ class Integrations::LlmBaseService
   end
 
   def api_base
-    endpoint = InstallationConfig.find_by(name: 'CAPTAIN_OPEN_AI_ENDPOINT')&.value.presence || 'https://api.openai.com/'
-    endpoint = endpoint.chomp('/')
-    "#{endpoint}/v1"
+    Llm::Config.api_base_for(llm_provider)
   end
 
   def make_api_call(body)
     parsed_body = JSON.parse(body)
+    @llm_provider = provider_for_model(parsed_body['model'])
     instrumentation_params = build_instrumentation_params(parsed_body)
 
     instrument_llm_call(instrumentation_params) do
@@ -102,9 +101,10 @@ class Integrations::LlmBaseService
     messages = parsed_body['messages']
     model = parsed_body['model']
     credential = llm_credential
+    return { error: I18n.t('captain.api_key_missing'), error_code: 401, request_messages: messages } if credential.blank?
 
-    Llm::Config.with_api_key(credential[:api_key], api_base: api_base) do |context|
-      chat = context.chat(model: model)
+    Llm::Config.with_api_key(credential[:api_key], provider: llm_provider, api_base: api_base) do |context|
+      chat = Llm::ProviderChat.new(context.chat(model: model, provider: llm_provider, assume_model_exists: true), provider: llm_provider)
       setup_chat_with_messages(chat, messages)
     end
   rescue StandardError => e
@@ -161,13 +161,22 @@ class Integrations::LlmBaseService
       conversation_id: conversation&.display_id,
       feature_name: event_name,
       model: parsed_body['model'],
+      provider: llm_provider,
       messages: parsed_body['messages'],
       temperature: parsed_body['temperature']
     }
   end
 
   def llm_credential
-    @llm_credential ||= { api_key: hook.settings['api_key'], source: :hook }
+    @llm_credential ||= Llm::CredentialResolver.new(provider: llm_provider, openai_hook: hook).resolve
+  end
+
+  def llm_provider
+    @llm_provider || Llm::Config::DEFAULT_PROVIDER
+  end
+
+  def provider_for_model(model)
+    Llm::Models.provider_for(model) || Llm::Config::DEFAULT_PROVIDER
   end
 
   def exception_tracking_account

lib/integrations/llm_instrumentation_helpers.rb

@@ -35,7 +35,7 @@ module Integrations::LlmInstrumentationHelpers
   end
 
   def set_request_attributes(span, params)
-    provider = determine_provider(params[:model])
+    provider = params[:provider] || determine_provider(params[:model])
     span.set_attribute(ATTR_GEN_AI_PROVIDER, provider)
     span.set_attribute(ATTR_GEN_AI_REQUEST_MODEL, params[:model])
     span.set_attribute(ATTR_GEN_AI_REQUEST_TEMPERATURE, params[:temperature]) if params[:temperature]

lib/llm/config.rb

@@ -2,11 +2,25 @@ require 'ruby_llm'
 
 module Llm::Config
   DEFAULT_MODEL = 'gpt-4.1-mini'.freeze
+  DEFAULT_PROVIDER = 'openai'.freeze
+
+  PROVIDER_CONFIGS = {
+    'openai' => {
+      api_key: 'CAPTAIN_OPEN_AI_API_KEY',
+      api_base: 'CAPTAIN_OPEN_AI_ENDPOINT'
+    },
+    'anthropic' => {
+      api_key: 'CAPTAIN_ANTHROPIC_API_KEY',
+      api_base: 'CAPTAIN_ANTHROPIC_API_BASE'
+    },
+    'gemini' => {
+      api_key: 'CAPTAIN_GEMINI_API_KEY',
+      api_base: 'CAPTAIN_GEMINI_API_BASE'
+    }
+  }.freeze
 
   class << self
-    def initialized?
-      @initialized ||= false
-    end
+    def initialized? = @initialized ||= false
 
     def initialize!
       return if @initialized
@@ -15,37 +29,101 @@ module Llm::Config
       @initialized = true
     end
 
-    def reset!
-      @initialized = false
-    end
+    def reset! = @initialized = false
 
-    def with_api_key(api_key, api_base: nil)
+    def with_api_key(api_key, provider: DEFAULT_PROVIDER, api_base: nil)
       initialize!
       context = RubyLLM.context do |config|
-        config.openai_api_key = api_key
-        config.openai_api_base = api_base
+        configure_provider(config, provider: provider, api_key: api_key, api_base: api_base)
       end
 
       yield context
     end
 
+    def ruby_llm_provider_supported?(provider)
+      RubyLLM::Provider.providers.key?(provider.to_s.to_sym)
+    end
+
+    def provider_options
+      PROVIDER_CONFIGS.keys.each_with_object({}) do |provider, result|
+        next unless ruby_llm_provider_supported?(provider)
+
+        result[provider] = ruby_llm_provider_name(provider)
+      end
+    end
+
+    def api_key_for(provider)
+      installation_config_value(provider, :api_key)
+    end
+
+    def api_base_for(provider)
+      api_base = installation_config_value(provider, :api_base).presence
+      return if api_base.blank?
+
+      normalized_api_base(provider, api_base)
+    end
+
+    def provider_configured?(provider)
+      api_key_for(provider).present?
+    end
+
+    def openai_provider?(provider)
+      provider.to_s == DEFAULT_PROVIDER
+    end
+
+    def supports_tools_and_schema?(provider)
+      openai_provider?(provider)
+    end
+
+    def configure_provider(config, provider:, api_key:, api_base: nil)
+      provider = provider.to_s
+      options = provider_configuration_options(provider)
+      api_key_option = :"#{provider}_api_key"
+      api_base_option = :"#{provider}_api_base"
+
+      set_config_value(config, api_key_option, api_key) if api_key.present? && options.include?(api_key_option)
+      set_config_value(config, api_base_option, api_base) if api_base.present? && options.include?(api_base_option)
+    end
+
     private
 
     def configure_ruby_llm
       RubyLLM.configure do |config|
-        config.openai_api_key = system_api_key if system_api_key.present?
-        config.openai_api_base = openai_endpoint.chomp('/') if openai_endpoint.present?
+        PROVIDER_CONFIGS.each_key do |provider|
+          next unless ruby_llm_provider_supported?(provider)
+
+          configure_provider(config, provider: provider, api_key: api_key_for(provider), api_base: api_base_for(provider))
+        end
         config.model_registry_file = Rails.root.join('config/llm_models.json').to_s
         config.logger = Rails.logger
       end
     end
 
-    def system_api_key
-      InstallationConfig.find_by(name: 'CAPTAIN_OPEN_AI_API_KEY')&.value
+    def ruby_llm_provider_name(provider)
+      RubyLLM::Provider.providers[provider.to_s.to_sym].name
     end
 
-    def openai_endpoint
-      InstallationConfig.find_by(name: 'CAPTAIN_OPEN_AI_ENDPOINT')&.value
+    def provider_configuration_options(provider)
+      RubyLLM::Provider.providers[provider.to_s.to_sym]&.configuration_options || []
+    end
+
+    def set_config_value(config, option, value)
+      setter = :"#{option}="
+      config.public_send(setter, value) if config.respond_to?(setter)
+    end
+
+    def installation_config_value(provider, key)
+      config_name = PROVIDER_CONFIGS.dig(provider.to_s, key)
+      return if config_name.blank?
+
+      InstallationConfig.find_by(name: config_name)&.value
+    end
+
+    def normalized_api_base(provider, api_base)
+      endpoint = api_base.chomp('/').delete_suffix('/chat/completions')
+      return "#{endpoint}/v1" if openai_provider?(provider) && endpoint.exclude?('/v1')
+
+      endpoint
     end
   end
 end

lib/llm/credential_resolver.rb

@@ -0,0 +1,26 @@
+class Llm::CredentialResolver
+  def initialize(provider:, openai_hook: nil)
+    @provider = provider.to_s
+    @openai_hook = openai_hook
+  end
+
+  def resolve
+    hook_llm_credential || system_llm_credential
+  end
+
+  private
+
+  attr_reader :provider, :openai_hook
+
+  def hook_llm_credential
+    return unless Llm::Config.openai_provider?(provider)
+
+    key = openai_hook&.settings&.dig('api_key').presence
+    { api_key: key, provider: provider, source: :hook } if key
+  end
+
+  def system_llm_credential
+    key = Llm::Config.api_key_for(provider).presence
+    { api_key: key, provider: provider, source: :system } if key
+  end
+end

lib/llm/models.rb

@@ -12,11 +12,14 @@ module Llm::Models
     end
 
     def default_model_for(feature)
-      features.dig(feature.to_s, 'default')
+      default_model = features.dig(feature.to_s, 'default')
+      return default_model if supported_model?(default_model)
+
+      models_for(feature).first
     end
 
     def models_for(feature)
-      features.dig(feature.to_s, 'models') || []
+      (features.dig(feature.to_s, 'models') || []).select { |model_name| supported_model?(model_name) }
     end
 
     def valid_model_for?(feature, model_name)
@@ -31,6 +34,17 @@ module Llm::Models
       model_config(model_name)&.dig('provider')
     end
 
+    def supported_provider?(provider)
+      providers.key?(provider.to_s) && Llm::Config.ruby_llm_provider_supported?(provider)
+    end
+
+    def supported_model?(model_name)
+      config = model_config(model_name)
+      return false unless config
+
+      supported_provider?(config['provider'])
+    end
+
     def feature_config(feature_key)
       feature = features[feature_key.to_s]
       return nil unless feature

lib/llm/provider_chat.rb

@@ -0,0 +1,37 @@
+require 'delegate'
+
+class Llm::ProviderChat < SimpleDelegator
+  def initialize(chat, provider:)
+    @provider = provider.to_s
+    super(chat)
+  end
+
+  def with_schema(schema)
+    return self unless supports_tools_and_schema?
+
+    __setobj__(__getobj__.with_schema(schema))
+    self
+  end
+
+  def with_tool(tool)
+    return self unless supports_tools_and_schema?
+
+    __setobj__(__getobj__.with_tool(tool))
+    self
+  end
+
+  def with_params(**params)
+    filtered_params = params.dup
+    filtered_params.delete(:response_format) unless supports_tools_and_schema?
+    return self if filtered_params.blank?
+
+    __setobj__(__getobj__.with_params(**filtered_params))
+    self
+  end
+
+  private
+
+  def supports_tools_and_schema?
+    Llm::Config.supports_tools_and_schema?(@provider)
+  end
+end

spec/lib/captain/base_task_service_spec.rb

@@ -171,22 +171,22 @@ RSpec.describe Captain::BaseTaskService do
     it 'uses the resolved feature model for the request and instrumentation' do
       account.update!(captain_models: { 'editor' => 'gpt-4.1' })
 
-      expect(mock_context).to receive(:chat).with(model: 'gpt-4.1').and_return(mock_chat)
+      expect(mock_context).to receive(:chat).with(model: 'gpt-4.1', provider: 'openai', assume_model_exists: true).and_return(mock_chat)
       expect(service).to receive(:instrument_llm_call).with(
-        hash_including(model: 'gpt-4.1', feature_name: 'test_event')
+        hash_including(model: 'gpt-4.1', provider: 'openai', feature_name: 'test_event')
       ).and_call_original
 
       service.send(:make_api_call, feature: 'editor', messages: messages)
     end
 
     it 'uses the supplied model as a feature fallback when there is no account override' do
-      expect(mock_context).to receive(:chat).with(model: 'gpt-5.2').and_return(mock_chat)
+      expect(mock_context).to receive(:chat).with(model: 'gpt-5.2', provider: 'openai', assume_model_exists: true).and_return(mock_chat)
 
       service.send(:make_api_call, feature: 'document_faq_generation', model: 'gpt-5.2', messages: messages)
     end
 
     it 'uses the help center article generation feature default' do
-      expect(mock_context).to receive(:chat).with(model: 'gpt-5.2').and_return(mock_chat)
+      expect(mock_context).to receive(:chat).with(model: 'gpt-5.2', provider: 'openai', assume_model_exists: true).and_return(mock_chat)
 
       service.send(:make_api_call, feature: 'help_center_article_generation', messages: messages)
     end
@@ -194,11 +194,34 @@ RSpec.describe Captain::BaseTaskService do
     it 'prefers account overrides over supplied feature fallback models' do
       account.update!(captain_models: { 'help_center_article_generation' => 'gpt-4.1' })
 
-      expect(mock_context).to receive(:chat).with(model: 'gpt-4.1').and_return(mock_chat)
+      expect(mock_context).to receive(:chat).with(model: 'gpt-4.1', provider: 'openai', assume_model_exists: true).and_return(mock_chat)
 
       service.send(:make_api_call, feature: 'help_center_article_generation', model: 'gpt-5.2', messages: messages)
     end
 
+    it 'uses the model provider for account overrides' do
+      create(:installation_config, name: 'CAPTAIN_ANTHROPIC_API_KEY', value: 'anthropic-key')
+      account.update!(captain_models: { 'assistant' => 'claude-haiku-4.5' })
+
+      expect(Llm::Config).to receive(:with_api_key).with('anthropic-key', provider: 'anthropic', api_base: nil).and_yield(mock_context)
+      expect(mock_context).to receive(:chat).with(model: 'claude-haiku-4.5', provider: 'anthropic', assume_model_exists: true).and_return(mock_chat)
+
+      service.send(:make_api_call, feature: 'assistant', messages: messages)
+    end
+
+    it 'does not attach schemas or tools for non-OpenAI providers' do
+      create(:installation_config, name: 'CAPTAIN_ANTHROPIC_API_KEY', value: 'anthropic-key')
+      account.update!(captain_models: { 'assistant' => 'claude-haiku-4.5' })
+
+      expect(mock_context).to receive(:chat).with(model: 'claude-haiku-4.5', provider: 'anthropic', assume_model_exists: true).and_return(mock_chat)
+      expect(mock_chat).not_to receive(:with_schema)
+      expect(mock_chat).not_to receive(:with_tool)
+      expect(service).not_to receive(:instrument_tool_session)
+      expect(service).to receive(:instrument_llm_call).and_call_original
+
+      service.send(:make_api_call, feature: 'assistant', messages: messages, schema: Class.new, tools: [Class.new])
+    end
+
     it 'returns formatted response with tokens' do
       result = service.send(:make_api_call, model: model, messages: messages)
 
@@ -295,7 +318,7 @@ RSpec.describe Captain::BaseTaskService do
     it 'tracks exceptions against the system key when an account hook exists' do
       create(:integrations_hook, :openai, account: account, settings: { 'api_key' => 'hook-key' })
 
-      expect(Llm::Config).to receive(:with_api_key).with('test-key', api_base: anything).and_raise(error)
+      expect(Llm::Config).to receive(:with_api_key).with('test-key', provider: 'openai', api_base: nil).and_raise(error)
       expect(ChatwootExceptionTracker).to receive(:new).with(error, account: account).and_return(exception_tracker)
       expect(exception_tracker).to receive(:capture_exception)
 

spec/lib/llm/config_spec.rb

@@ -0,0 +1,36 @@
+# frozen_string_literal: true
+
+require 'rails_helper'
+
+RSpec.describe Llm::Config do
+  describe '.provider_options' do
+    it 'returns configured providers supported by RubyLLM' do
+      expect(described_class.provider_options).to include(
+        'openai' => 'OpenAI',
+        'anthropic' => 'Anthropic',
+        'gemini' => 'Gemini'
+      )
+    end
+  end
+
+  describe '.api_base_for' do
+    it 'normalizes OpenAI-compatible endpoints to the v1 base' do
+      create(:installation_config, name: 'CAPTAIN_OPEN_AI_ENDPOINT', value: 'https://proxy.example.com/chat/completions')
+
+      expect(described_class.api_base_for('openai')).to eq('https://proxy.example.com/v1')
+    end
+
+    it 'keeps non-OpenAI provider endpoints unchanged except trailing slashes' do
+      create(:installation_config, name: 'CAPTAIN_ANTHROPIC_API_BASE', value: 'https://anthropic.example.com/')
+
+      expect(described_class.api_base_for('anthropic')).to eq('https://anthropic.example.com')
+    end
+  end
+
+  describe '.supports_tools_and_schema?' do
+    it 'allows tool and schema configuration only for OpenAI' do
+      expect(described_class.supports_tools_and_schema?('openai')).to be true
+      expect(described_class.supports_tools_and_schema?('anthropic')).to be false
+    end
+  end
+end

spec/lib/llm/models_spec.rb

@@ -40,6 +40,16 @@ RSpec.describe Llm::Models do
     end
   end
 
+  describe '.models_for' do
+    it 'filters out models whose provider is not supported by RubyLLM' do
+      allow(Llm::Config).to receive(:ruby_llm_provider_supported?) do |provider|
+        provider.to_s != 'anthropic'
+      end
+
+      expect(described_class.models_for('assistant')).not_to include('claude-haiku-4.5')
+    end
+  end
+
   describe '.feature_config' do
     it 'returns model metadata for a feature' do
       config = described_class.feature_config('editor')