[002] Integrate TDLib build plan and baseline client adapter

[konard]

Summary

• Adds a dependency-free TDLib adapter boundary for Android, iOS, desktop, and web-compatible callers.
• Defines validated adapter operations for authentication, chat list paging, message send, and update subscription.
• Rejects raw Telegram apiId, api_id, apiHash, api_hash, phone number, and bot token inputs in favor of secure references such as env:NAME, keychain:name, and keystore:name.
• Adds a mock TDLib adapter and contract tests that run without TDLib binaries, Telegram network access, or live user credentials.
• Documents TDLib build targets and Boost Software License 1.0 obligations in BUILD-GUIDE.md and docs/tdlib-adapter.md.

Reproduction

Before this work, the repository had no TDLib adapter module or TDLib build boundary documentation. I added test/tdlib-adapter.test.mjs first; npm test failed with ERR_MODULE_NOT_FOUND for src/tdlib/client-adapter.mjs, reproducing the missing acceptance surface.

Verification

• npm test
• npm run validate:foundation
• npm run decompose:dry-run
• git diff --check
• GitHub Actions CI passed on commit ed5a0d5

Fixes #6

[konard]

Solution summary

Implemented issue #6 and updated PR 71: #71

Added the TDLib adapter boundary in src/tdlib/client-adapter.mjs, mock-backed contract tests in test/tdlib-adapter.test.mjs, and TDLib build/licensing docs in docs/tdlib-adapter.md. The adapter rejects raw Telegram credentials and only accepts secure references.

Verification passed:

• npm test
• npm run validate:foundation
• npm run decompose:dry-run
• git diff --check
• GitHub Actions CI passed on latest commit ed5a0d5

PR 71 is marked ready for review, and the local worktree is clean.

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This summary was automatically extracted from the AI working session output.

[konard]

🤖 Solution Draft Log

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💰 Cost estimation:

• Model: GPT-5.5
• Provider: OpenAI
• Public pricing estimate: $3.717102

📊 Context and tokens usage:

• 1.8M / 1.1M (172%) input tokens, 20.2K / 130K (16%) output tokens

Total: (111.7K + 1.7M cached) input tokens, 20.2K output tokens, $3.717102 cost

🤖 Models used:

• Tool: OpenAI Codex
• Requested: gpt-5.5
• Model: GPT-5.5 (gpt-5.5)

📎 Log file uploaded as Gist (25532KB)

• View complete solution draft log

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[konard]

✅ Ready to merge

This pull request is now ready to be merged:

• All CI checks have passed
• No merge conflicts
• No pending changes

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