Lesson 11 / 25
Setting max_tokens Wisely
Choose an output cap that fits the task and handle truncation.
A cap, not a target
max_tokens is the most the model may generate in one reply. It does not make the model write that much. Too low and answers or tool calls get cut off; very high wastes your reserve and allows runaway output. Pick a value that fits the expected answer (a short tool call needs far less than a long report).
Different caps for different turns
Use a small cap while the agent is acting through tools and a larger one for the final write-up.
ACTING_CAP = 1_024 # tool calls and short thoughts
FINAL_CAP = 4_096 # final summary
reply = client.messages.create(
model=MODEL, max_tokens=ACTING_CAP, tools=TOOLS, messages=messages)Quick check: What does setting max_tokens higher do?
- Forces the model to write that many tokens
- Allows longer replies but does not force them
- Makes the model faster
- Increases the context window
Answer
Allows longer replies but does not force them — It raises the ceiling on reply length; the model still stops when it is done.