Getting Started with the Claude API: Messages, Streaming, and Tool Use
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Key Points Install anthropic , set ANTHROPIC_API_KEY , and you have a working LLM API in five lines of Python. Three models cover 95% of use cases: Opus for complex reasoning, Sonnet for most production tasks, Haiku for cheap high-volume classification. Always stream long-form responses — timeouts and bad UX come from blocking on a full response. Tool use requires a two-turn round trip: Claude signals a function call, your code runs it, you return the result. Prompt caching cuts input token…
1Key Takeaways
- Key Points Install anthropic , set ANTHROPIC_API_KEY , and you have a working LLM API in five lines of Python.
- Three models cover 95% of use cases: Opus for complex reasoning, Sonnet for most production tasks, Haiku for cheap high-volume classification.
- Always stream long-form responses — timeouts and bad UX come from blocking on a full response.
- Tool use requires a two-turn round trip: Claude signals a function call, your code runs it, you return the result.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that key Points Install anthropic , set ANTHROPIC_API_KEY , and you have a working LLM API in five lines of Python.
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