Feature: Real LLM actor invocation in session tell As a user of CleverAgents I want `agents session tell` to invoke the real orchestrator actor So that I get meaningful AI responses instead of stub acknowledgements Background: Given a session tell LLM mock environment @session_tell_llm Scenario: Real LLM response is returned and persisted Given a session with actor "openai/gpt-4" exists When I invoke session tell with prompt "What can you do?" Then the tell command returns the LLM response And the assistant message is persisted to the session And token usage is recorded @session_tell_llm Scenario: --stream flag yields incremental tokens Given a session with actor "openai/gpt-4" exists When I invoke session tell with --stream and prompt "Hello" Then the streamed output contains the LLM response tokens And the assistant message is persisted after streaming @session_tell_llm Scenario: No actor configured raises clear error with exit code 1 Given a session with no actor exists When I invoke session tell with prompt "Hello" Then the tell command exits with code 1 And the error output mentions actor configuration @session_tell_llm Scenario: --actor flag overrides the session's bound actor Given a session with actor "anthropic/claude-3-haiku" exists When I invoke session tell with --actor "openai/gpt-4" and prompt "Hello" Then the tell command uses the override actor "openai/gpt-4" And the tell command returns the LLM response @session_tell_llm Scenario: --format json output includes usage object Given a session with actor "openai/gpt-4" exists When I invoke session tell with --format json and prompt "What can you do?" Then the tell output is valid JSON with a data envelope And the data section contains the session_id And the data section contains a usage object with expected keys @session_tell_llm Scenario: --stream --format json produces valid JSON with usage Given a session with actor "openai/gpt-4" exists When I invoke session tell with --stream --format json and prompt "Hello" Then the tell output is valid JSON with a data envelope And the data section contains a usage object with expected keys @session_tell_llm Scenario: Usage panel appears in Rich output Given a session with actor "openai/gpt-4" exists When I invoke session tell with prompt "What can you do?" Then the tell command returns the LLM response And the output contains a Usage panel