python-sdk: align pinned runtime bootstrap and drop sample image (2026-03-16)

- bump the repo-managed runtime bootstrap to rust-v0.116.0-alpha.1 so example and integration paths match the current SDK thread/start schema
- make release artifact download more robust by retrying metadata lookups without stale auth and preferring deterministic release asset URLs
- refresh generated Python artifacts and signature expectations so artifact drift tests pass on the current branch shape
- replace the checked-in local image asset with a generated temporary PNG used by the examples and notebook local-image flow
- add lightweight tests for pinned runtime doc drift and invalid-auth fallback in runtime metadata resolution

Co-authored-by: Codex <noreply@openai.com>
This commit is contained in:
Shaqayeq
2026-03-16 16:29:52 -07:00
parent cd84a3fd01
commit bb551e0342
11 changed files with 242 additions and 82 deletions

View File

@@ -400,22 +400,19 @@
"metadata": {},
"outputs": [],
"source": [
"# Cell 7: multimodal with local image (bundled asset)\n",
"local_image_path = repo_python_dir / 'examples' / 'assets' / 'sample_scene.png'\n",
"if not local_image_path.exists():\n",
" raise FileNotFoundError(f'Missing bundled image: {local_image_path}')\n",
"# Cell 7: multimodal with local image (generated temporary file)\n",
"with temporary_sample_image_path() as local_image_path:\n",
" with Codex() as codex:\n",
" thread = codex.thread_start(model='gpt-5.4', config={'model_reasoning_effort': 'high'})\n",
" result = thread.turn([\n",
" TextInput('Describe the colors and layout in this generated local image in 2 bullets.'),\n",
" LocalImageInput(str(local_image_path.resolve())),\n",
" ]).run()\n",
" persisted = thread.read(include_turns=True)\n",
" persisted_turn = find_turn_by_id(persisted.thread.turns, result.id)\n",
"\n",
"with Codex() as codex:\n",
" thread = codex.thread_start(model='gpt-5.4', config={'model_reasoning_effort': 'high'})\n",
" result = thread.turn([\n",
" TextInput('Describe this local image in 2 bullets.'),\n",
" LocalImageInput(str(local_image_path.resolve())),\n",
" ]).run()\n",
" persisted = thread.read(include_turns=True)\n",
" persisted_turn = find_turn_by_id(persisted.thread.turns, result.id)\n",
"\n",
" print('status:', result.status)\n",
" print(assistant_text_from_turn(persisted_turn))\n"
" print('status:', result.status)\n",
" print(assistant_text_from_turn(persisted_turn))\n"
]
},
{