Tutorials Gemini Spark Agents: One API Call, One Cloud Sandbox
The Managed Agents API behind Gemini Spark: build a persistent cloud agent in Python.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials The Managed Agents API behind Gemini Spark: build a persistent cloud agent in Python.
Tutorials Bedrock Agents Classic shut to new users. Deploy a Strands agent on AgentCore Runtime in Python.
Tutorials Build a working tool-calling agent on Alibaba's new Qwen3.8-Max using the OpenAI-compatible API.
Tutorials Build an autonomous file-editing coding agent on DeepSeek V4-Flash's tool-calling API for pennies.
Tutorials Auto-recover from Claude safety refusals on Opus 5 with one line of code: fallbacks='default'.
Tutorials Force Claude to return schema-valid JSON every time, no parsing errors and no retries.
Tutorials Build an async MCP tool that returns a durable task handle and poll it to completion in Python.
Tutorials Use Kimi K3 tool_choice=required + strict JSON so agents fetch data before they answer.
Tutorials Use Kimi K3's native vision and JSON schema output to turn messy PDF pages into clean, typed data.
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.