Add distill-json and semantic-llm-cache to Development/Tools

[karthyick]

Adding two Python tools to Development → Tools that reduce OpenAI API costs:

distill-json

Lossless JSON compression for ChatGPT/OpenAI API payloads. Reduces tokens 60-85% on bulk repeated records via schema extraction, dictionary encoding, and equivalence partitioning. Drop-in replacement for json.dumps().

semantic-llm-cache

Decorator-based semantic caching for OpenAI API calls. Skip 20-40% of API calls when prompts are semantically similar. Lightweight Python alternative to GPTCache (which is already in this section).

Both:

• pip install distill-json / pip install semantic-llm-cache
• MIT licensed

Thanks for maintaining this list!

[gemini-code-assist]

Code Review

This pull request adds two new tools, distill-json and semantic-llm-cache, to the README.md file. The review feedback highlights the need to update the Chinese version of the documentation for consistency and suggests removing the pip install commands from the tool descriptions to match the existing style of the list.

[gemini-code-assist]

The README.cn.md file is currently out of sync as it does not include these new entries. To maintain consistency across the bilingual documentation, these tools should be added to the Chinese version as well.

[gemini-code-assist]

The inclusion of pip install commands in the description is inconsistent with other entries in this section. Most items focus on the tool's utility and leave installation details to the linked repository.

Suggested change

	Lossless JSON compression for ChatGPT/OpenAI API payloads. Reduces tokens 60-85% on bulk repeated records via schema extraction, dictionary encoding, and equivalence partitioning. Drop-in replacement for `json.dumps()` — output stays human-and-LLM-readable. `pip install distill-json`.
	Lossless JSON compression for ChatGPT/OpenAI API payloads. Reduces tokens 60-85% on bulk repeated records via schema extraction, dictionary encoding, and equivalence partitioning. Drop-in replacement for `json.dumps()` — output stays human-and-LLM-readable.

[gemini-code-assist]

Similar to the entry above, the pip install command should be removed to maintain consistency with the rest of the list.

Suggested change

	Decorator-based semantic caching for ChatGPT/OpenAI API calls. Wrap any LLM call with `@semantic_cache` and skip 20-40% of API calls when prompts are semantically similar. Lightweight Python alternative to GPTCache. `pip install semantic-llm-cache`.
	Decorator-based semantic caching for ChatGPT/OpenAI API calls. Wrap any LLM call with `@semantic_cache` and skip 20-40% of API calls when prompts are semantically similar. Lightweight Python alternative to GPTCache.