Framework agents call the OpenAI Responses API regardless of the configured model

Empieza reproduciendo el fallo con examples/agents/93_openai_runner_hello_world.py y CONDUCTOR_AGENT_LLM_MODEL=anthropic/claude-sonnet-4-6 mientras al servidor le falta OPENAI_API_KEY. Lee la ruta de conductor.ai Runner/framework-agent y, después, inspecciona las respuestas de ejecución y de workflow en busca de Assistant_llm y reasonForIncompletion. Se considera terminado cuando el ejemplo enruta la solicitud al modelo configurado o informa claramente de la dependencia faltante y termina con un código de salida distinto de cero.

In short: run one of the *_openai_runner_* examples with an Anthropic model against a server that has no OpenAI key, and it fails — because this code path always calls OpenAI, whatever model you configured. It then prints None and exits 0, so nothing notices.

Files: examples/agents/93_openai_runner_hello_world.py, 94_openai_runner_tools.py, 95_openai_runner_handoffs.py, 96_openai_runner_streaming.py (the conductor.ai Runner / framework-agent path)

Symptom

With no OPENAI_API_KEY in the server process's environment:

$ CONDUCTOR_AGENT_LLM_MODEL=anthropic/claude-sonnet-4-6 python examples/agents/93_openai_runner_hello_world.py
Framework agent 'Assistant' execution FAILED
None

Both 93 and 96 exit 0 despite failing, so exit-code-based tooling — including scripts/run_examples.sh — scores them green.

Cause

The framework-agent path calls the OpenAI Responses API regardless of the configured model. With an Anthropic model and no OpenAI key on the server, the Assistant_llm LLM_CHAT_COMPLETE task sends an empty key to OpenAI instead of routing to Anthropic:

Task execution failed: OpenAI Responses API call failed: Responses API failed with status 401:
{"error": {"message": "Incorrect API key provided: ''. You can find your API key at
https://platform.openai.com/account/api-keys.", "type": "invalid_request_error",
"param": null, "code": "invalid_api_key"}}

Read it back with:

curl -s localhost:8080/api/agent/executions?size=5
curl -s "localhost:8080/api/workflow/<executionId>?includeTasks=true"   # Assistant_llm -> reasonForIncompletion

Confirmed by changing only the server's environment, one server, everything else fixed:

Ruled out:

• the client's environment — fails with the client key set, passes with it unset
• langchain-anthropic being installed — passes with it uninstalled

Only the server's environment matters.

Fix

Either drop the OpenAI dependency when the target model is not OpenAI, or fail with a message naming the missing key. Silent failure with None and exit 0 is the worst outcome.

Verify

Start the server with no OPENAI_API_KEY, run 93 with an Anthropic model — it should either work or say why, and exit non-zero if it fails.

Note: These examples document CONDUCTOR_AGENT_LLM_MODEL=openai/gpt-4o (or anthropic/claude-opus-4-6), so a user following the Anthropic option with an Anthropic-only server hits this immediately.