"""basic_messaging_streaming x OpenAI (GPT-5.6).

Drive the real `claude` CLI in headless `--output-format stream-json`
mode against a running LiteLLM proxy that routes Anthropic Messages
requests to OpenAI's GPT-5.6 family (Sol, Terra, Luna), and report the
outcome via `compat_result`.

LiteLLM translates OpenAI's chat-completions SSE chunks into Anthropic
`message_start` / `content_block_delta` / `message_stop` events on the
fly; the `verify_streaming=True` assertion (via
`--include-partial-messages`) proves the proxy re-emitted incremental
events instead of buffering the upstream stream into one response.

The (feature, provider) for this cell is inferred from the file path by
`tests/e2e/claude_code/conftest.py`:

    tests/e2e/claude_code/basic_messaging_streaming/test_openai.py
                       ^^^^^^^^^^^^^^^^^^^^^^^^^      ^^^^^^
                       feature_id                     provider

Every GPT cell exercises the three GPT-5.6 tiers; the cell only goes
green if all three pass.
"""

from __future__ import annotations

from claude_code._basic_messaging import run_basic_messaging_cell
from claude_code._gpt_cells import skip_unless_openai_gpt_cells_enabled

OPENAI_MODELS = [
    "gpt-5-6-sol-openai",
    "gpt-5-6-terra-openai",
    "gpt-5-6-luna-openai",
]


def test_basic_messaging_streaming_openai(compat_result):
    """Drive the `claude` CLI against the LiteLLM proxy and assert a
    non-empty streamed reply from each GPT-5.6 tier."""
    skip_unless_openai_gpt_cells_enabled()
    run_basic_messaging_cell(
        compat_result=compat_result,
        models=OPENAI_MODELS,
        prompt="Count from 1 to 5, one number per line.",
        verify_streaming=True,
    )
