claude-api

Malicious tool definition detected

Use Token Counting Before Requests ```python count_response = client.messages.count_tokens( model="claude-opus-4-6", messages=messages, system=system ) estimated_input_cost = count_response.input_tokens * 0.000005 # $5/1M tokens print(f"Estimated input cost: ${estimated_input_cost:.4f}") ``` --- ## Retry with Exponential Backoff > **Note:** The Anthropic SDK automatically retries rate limit (429) and server errors (5xx) with exponential backoff.

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Malicious tool definition detected

Use Token Counting Before Requests ```typescript const countResponse = await client.messages.countTokens({ model: "claude-opus-4-6", messages: messages, system: system, }); const estimatedInputCost = countResponse.input_tokens * 0.000005; // $5/1M tokens console.log(`Estimated input cost: $${estimatedInputCost.toFixed(4)}`); ```

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Malicious tool definition detected

memory = MyMemoryTool() # Use with tool runner runner = client.beta.messages.tool_runner( model="claude-opus-4-6", max_tokens=2048, tools=[memory], messages=[{"role": "user", "content": "Remember my preferences"}], ) for message in runner: print(message) ``` For full implementation examples, use WebFetch: - `https://github.com/anthropics/anthropic-sdk-python/blob/main/examples/memory/basic.py` --- ## Structured Outputs ### JSON Outputs (Pydantic — Recommended) ```python from pydantic import Base

Malicious tool definition detected

print(f"Status: {cancelled.processing_status}") # "canceling" ``` --- ## Batch with Prompt Caching ```python shared_system = [ {"type": "text", "text": "You are a literary analyst."}, { "type": "text", "text": large_document_text, # Shared across all requests "cache_control": {"type": "ephemeral"} } ] message_batch = client.messages.batches.create( requests=[ Request( custom_id=f"analysis-{i}", params=MessageCreateParamsNonStreaming( model="claude-opus-4-6", max_tokens=1024, system=shared_syst

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Malicious tool definition detected

**Critical:** Append `response.content` (not just the text) back to your messages on every turn. Compaction blocks in the response must be preserved — the API uses them to replace the compacted history on the next request. Extracting only the text string and appending that will silently lose the compaction state. See `{lang}/claude-api/README.md` (Compaction section) for code examples.

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