{"slug": "claude-code-vs-openai-sdk-troubleshooting-gpt-oss-120b", "title": "Claude Code vs OpenAI SDK: Troubleshooting gpt-oss-120b", "summary": "Developers using the Anthropic SDK to access Sakura AI Engine's gpt-oss-120b model must replace the standard api_key parameter with auth_token for Bearer authentication and filter response content by type to avoid crashes, as the SDK's default handling of thinking blocks causes attribute errors. The OpenAI SDK offers a more seamless experience with flat string responses and standard API keys, highlighting that \"compatible\" endpoints require provider-specific tweaks.", "body_md": "# Claude Code vs OpenAI SDK: Troubleshooting gpt-oss-120b\n\n`gpt-oss-120b`\n\nto run through the Anthropic SDK is a lesson in how \"compatibility\" varies between LLM providers. While Sakura AI Engine hosts this open-weight model with both OpenAI and Anthropic-compatible endpoints, the implementation details differ enough to trip up anyone expecting a plug-and-play experience.## The Authentication Trap\n\nThe most immediate hurdle is the `401 Unauthorized`\n\nerror. If you use the standard `api_key`\n\nparameter in the Anthropic Python SDK, it sends the token via the `x-api-key`\n\nheader. However, some compatible endpoints—including Sakura's—expect a Bearer token.\n\nTo fix this, you have to swap the parameter name. Instead of `api_key=\"\"`\n\n, use `auth_token=\"\"`\n\n. This is the same underlying mechanism used by [Claude](/en/tags/claude/) Code for `ANTHROPIC_AUTH_TOKEN`\n\n.\n\n## Handling Response Payloads\n\nOnce authenticated, you'll likely hit a runtime error when trying to print the response. The standard habit of accessing `resp.content[0].text`\n\nwill fail with:`'ThinkingBlock' object has no attribute 'text'`\n\nThis happens because reasoning models often return a mix of content types (like thinking blocks and text blocks). Indexing the first element blindly is a recipe for a crash. The only stable way to extract the actual answer is to filter the content list:\n\n```\n# Avoid resp.content[0].text\nactual_text = [b.text for b in resp.content if b.type == \"text\"]\n```\n\n## Performance & Setup\n\nFor those looking for a practical tutorial on the setup, the OpenAI-compatible route is seamless, but the Anthropic SDK requires the specific tweaks mentioned above.\n\n**Comparison: OpenAI SDK vs Anthropic SDK on Sakura**\n\n**Auth Method:** OpenAI uses standard API keys; Anthropic SDK requires`auth_token`\n\nfor Bearer auth.**Response Structure:** OpenAI returns a flat string in`message.content`\n\n; Anthropic returns a list of content blocks that must be filtered.**Reliability:** The OpenAI endpoint is more stable for this specific model deployment.\n\nIf you're building an AI workflow that needs to switch between providers, don't assume that \"compatible\" means \"identical.\" Always verify how the SDK handles headers and response objects. For a deep dive into managing these different API behaviors, check out promptcube3.com.\n\n[Next DQN vs Q-Learning: Scaling RL with Neural Networks →](/en/threads/2568/)", "url": "https://wpnews.pro/news/claude-code-vs-openai-sdk-troubleshooting-gpt-oss-120b", "canonical_source": "https://promptcube3.com/en/threads/2591/", "published_at": "2026-07-23 23:01:27+00:00", "updated_at": "2026-07-24 07:39:21.368869+00:00", "lang": "en", "topics": ["developer-tools", "large-language-models", "ai-tools"], "entities": ["Anthropic", "OpenAI", "Sakura AI Engine", "Claude Code", "gpt-oss-120b"], "alternates": {"html": "https://wpnews.pro/news/claude-code-vs-openai-sdk-troubleshooting-gpt-oss-120b", "markdown": "https://wpnews.pro/news/claude-code-vs-openai-sdk-troubleshooting-gpt-oss-120b.md", "text": "https://wpnews.pro/news/claude-code-vs-openai-sdk-troubleshooting-gpt-oss-120b.txt", "jsonld": "https://wpnews.pro/news/claude-code-vs-openai-sdk-troubleshooting-gpt-oss-120b.jsonld"}}