Class: LanguageOperator::CLI::Commands::Agent::Helpers::ClusterLLMClient
- Inherits:
-
Object
- Object
- LanguageOperator::CLI::Commands::Agent::Helpers::ClusterLLMClient
- Defined in:
- lib/language_operator/cli/commands/agent/helpers/cluster_llm_client.rb
Overview
LLM client that uses port-forwarding to cluster model deployments (LiteLLM proxy)
Instance Method Summary collapse
- #chat(prompt) ⇒ Object
-
#initialize(ctx:, model_name:, model_id:, agent_command:) ⇒ ClusterLLMClient
constructor
A new instance of ClusterLLMClient.
Constructor Details
#initialize(ctx:, model_name:, model_id:, agent_command:) ⇒ ClusterLLMClient
Returns a new instance of ClusterLLMClient.
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# File 'lib/language_operator/cli/commands/agent/helpers/cluster_llm_client.rb', line 14 def initialize(ctx:, model_name:, model_id:, agent_command:) @ctx = ctx @model_name = model_name @model_id = model_id @agent_command = agent_command end |
Instance Method Details
#chat(prompt) ⇒ Object
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# File 'lib/language_operator/cli/commands/agent/helpers/cluster_llm_client.rb', line 21 def chat(prompt) pod = get_model_pod pod_name = pod.dig('metadata', 'name') local_port = find_available_port port_forward_pid = nil begin port_forward_pid = start_port_forward(pod_name, local_port, 4000) wait_for_port(local_port) conn = Faraday.new(url: "http://localhost:#{local_port}") do |f| f.request :json f.response :json f.adapter Faraday.default_adapter f..timeout = 120 f..open_timeout = 10 end payload = { model: @model_id, messages: [{ role: 'user', content: prompt }], max_tokens: 4000, temperature: 0.3 } response = conn.post('/v1/chat/completions', payload) result = response.body raise "LLM error: #{result['error']['message'] || result['error']}" if result['error'] result.dig('choices', 0, 'message', 'content') ensure cleanup_port_forward(port_forward_pid) if port_forward_pid end end |