Add DaoXE code interpreter examples (JS + Python)

[seven7763]

Summary

Adds cookbook examples that run the E2B Code Interpreter with DaoXE as the LLM backend.

• TypeScript: examples/daoxe-code-interpreter-js (OpenAI Node SDK + custom base URL)
• Python notebook: examples/daoxe-code-interpreter-python
• README table: DaoXE row under LLM providers

Why this fits the cookbook

DaoXE is a multi-model, multi-protocol API gateway. This PR demonstrates the OpenAI-compatible Chat Completions path used by many existing cookbook samples:

https://daoxe.com/v1

const client = new OpenAI({
  apiKey: process.env.DAOXE_API_KEY,
  baseURL: 'https://daoxe.com/v1',
})

DaoXE also supports other protocols (including OpenAI Responses and Anthropic Messages / Claude protocol) and multiple model families. This example only covers the OpenAI SDK + custom baseURL migration path so it stays consistent with existing OpenAI-style cookbook entries.

Account / model IDs

• Model IDs come from the contributor’s DaoXE account catalog via DAOXE_MODEL (no hardcoded public model list).
• Keys stay in .env / .env.template only.

Availability note

DaoXE is not offered in mainland China. READMEs call this out so contributors pick account-visible models and regions correctly.

Test plan

• Copy .env.template → .env and set E2B_API_KEY, DAOXE_API_KEY, DAOXE_MODEL
• JS: cd examples/daoxe-code-interpreter-js && npm i && npm start
• Python: open daoxe_code_interpreter.ipynb, install deps cell, run main()
• Confirm the model issues an execute_python tool call and the E2B sandbox executes it
• Optional chart file height_distribution.png may be written when the model returns a plot

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CLA check is green on this PR now (verification/cla-signed pass).

Happy to adjust the JS/Python examples if anything should follow a different cookbook style. Thanks for the review when you have a chance.