Tutorials Qwen3.8-Max Tool Calling: A Python Agent Loop
Build a working tool-calling agent on Alibaba's new Qwen3.8-Max using the OpenAI-compatible API.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Build a working tool-calling agent on Alibaba's new Qwen3.8-Max using the OpenAI-compatible API.
Tutorials Point the OpenAI SDK at Moonshot's 2.8T K3, load a whole repo, and cut cost with caching.
Tutorials Point the OpenAI SDK at Meta's agent model, add tools, let it self-manage a 1M-token context.
Tutorials Use reasoning.context to reuse GPT-5.6's chain of thought across turns and cut redundant tokens.
Tutorials Reproduce GPT-Live's full-duplex voice and background delegation using the GA Realtime API.
Tutorials Structure prompts, set prompt_cache_retention, and read cached_tokens to slash GPT-5.6 input costs.
Tutorials Use GPT-5.6's Responses API so the model writes JavaScript to run your tools in one call.
Tutorials Meituan's 1.6T open MoE topped OpenRouter as 'Owl Alpha.' Call it in Python with the OpenAI SDK.
Tutorials Build a semantic cache that reuses answers for similar prompts and slashes LLM API costs.
Tutorials Use GPT-5.6 Sol's new max reasoning effort and ultra subagents via the Responses API.
Tutorials A runnable Python governor that caps LLM spend per user and auto-downgrades models.
Tutorials Build a provider-agnostic LLM failover client in Python that survives outages and model removals.