Руководство по нативному формату Gemini

pip install google-genai

stream = client.models.generate_content_stream(
    model="gemini-3.5-flash",
    contents="Write a short essay on quantum computing"
)

for chunk in stream:
    print(chunk.text, end="", flush=True)

from google.genai import types

# Gemini 3 series: level-based control
response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="Prove that the square root of 2 is irrational",
    config=types.GenerateContentConfig(
        thinking_config=types.ThinkingConfig(thinking_level="high")
    )
)

# Gemini 2.5 series: token-budget control
response = client.models.generate_content(
    model="gemini-2.5-flash",
    contents="Simple question, be quick",
    config=types.GenerateContentConfig(
        thinking_config=types.ThinkingConfig(thinking_budget=0)  # thinking off
    )
)

response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="Analyze the time complexity of: def fib(n): return n if n <= 1 else fib(n-1) + fib(n-2)",
    config=types.GenerateContentConfig(
        thinking_config=types.ThinkingConfig(thinking_level="high", include_thoughts=True)
    )
)

for part in response.candidates[0].content.parts:
    if getattr(part, "thought", False):
        print(f"[Thought summary] {part.text}")
    else:
        print(f"[Final answer] {part.text}")

usage = response.usage_metadata
print(f"Input: {usage.prompt_token_count}")
print(f"Output: {usage.candidates_token_count}")
print(f"Thinking: {usage.thoughts_token_count}")
print(f"Cache hits: {usage.cached_content_token_count}")