Sources & Further Reading
iSources checked: September 2026
The content of this module was researched in May 2026; all source links were checked for availability in September 2026 and updated where needed. As the AI landscape evolves quickly, some details may have changed since then.
Sources
-
Anthropic (2025). Messages API – Documentation. https://platform.claude.com/docs/en/api/messages
-
Anthropic (2025). Tool Use (Function Calling) – Documentation. https://platform.claude.com/docs/en/agents-and-tools/tool-use/overview
-
Anthropic (2025). Message Batches API – Documentation. https://platform.claude.com/docs/en/build-with-claude/batch-processing
-
Anthropic (2025). Prompt Caching – Documentation. https://platform.claude.com/docs/en/build-with-claude/prompt-caching
-
Docker (2025). Docker SDK for Python – Documentation. https://docker-py.readthedocs.io/
-
Dockerode (2025). Dockerode – Docker Remote API Node.js Module. https://github.com/apocas/dockerode
Further Reading
Anthropic Resources
- Anthropic Cookbook: Practical examples and guides for the Claude API. https://github.com/anthropics/anthropic-cookbook
- Anthropic – Pricing: Current pricing overview for Claude models and API usage. https://claude.com/pricing
Docker & Security
- Docker – Security Best Practices: Official recommendations for secure container usage. https://docs.docker.com/build/building/best-practices/
- OWASP – LLM Top 10: Top security risks for Large Language Model applications. https://owasp.org/www-project-top-10-for-large-language-model-applications/
Monitoring & Observability
- LangSmith: Platform for LLM monitoring, tracing, and evaluation. https://www.langchain.com/langsmith
- Weights & Biases – Prompts: Experiment tracking and prompt management for LLM applications. https://wandb.ai/site/solutions/llmops