[pull] main from anthropics:main #55
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The workflow runs FROM the public branch (ref: public), so it uses the workflow file from that branch, not from main. This applies the git rm --cached fix directly to the public branch where it's needed.
Add comprehensive example showing Claude's Programmatic Tool Calling (PTC) capabilities for reduced latency and token consumption in agentic workflows. Includes: - Mock SkyNet drone delivery API with three tools (get_delivery_logs, get_container_logs, check_pod_health) - Traditional tool calling baseline implementation - Jupyter notebook demonstrating PTC benefits in production scenarios - Visualization utilities for API responses This enables Claude to write code that calls tools programmatically within the Code Execution environment, eliminating round-trips per invocation.
This notebook demonstrates using a crop tool to improve Claude's performance on chart question answering tasks with the FigureQA dataset. Key features: - Baseline evaluation (no tools): 68% accuracy - With crop tool: 84% accuracy (+16% improvement) - Tool allows zooming into specific chart regions using normalized coordinates - Useful for comparing bars, reading labels, and identifying colors
- Add intro explaining both Anthropic SDK and Claude Agent SDK implementations - Add bonus section demonstrating AgentSDK with custom crop tool - Fix extract_answer to handle nested JSON with balanced brace matching - Fix compute_metrics to normalize answers (handle trailing periods) - Update comparison table to clarify Anthropic SDK vs Claude Agent SDK
…-editing Update memory cookbook context editing
The answer strings include periods ('yes.'/'no.'), so the counting
logic needed to match that format.
Simplify documentation and examples while preserving key demonstrations. - Consolidate custom summary prompt example (remove separate execution cell) - Update token usage statistics and compaction event counts - Fix code reference: use `len(messages_list)` instead of `len(runner._params['messages'])` - Simplify list formatting in requirements section - Remove duplicate best practices section that was shown later - Clean up and standardize output formatting with visual separators
- Reduce dataset download from full to 10 samples - Simplify agentic loop (remove max_crops) - Add Claude Agent SDK section with MCP tool - Display cropped images inline in output - Use consistent prompt format across both approaches 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
Resolved conflict by combining both approaches: - Kept up-to-date check for efficiency - Adopted comprehensive workflow exclusion (all workflows, not just sync workflows)
Resolved conflicts in: - .github/workflows/pull-from-public.yml (removed, private repo only) - pyproject.toml (merged dependencies and ruff config) - uv.lock (regenerated with uv lock) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
Adds all cookbooks for Opus 4.5
* Add tool search cookbook * fixes, run all
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