* fix(channels): deliver the DingTalk reply when an AI card request fails
dingtalk-stream's AICardReplier logs a failed card request and returns
as if it succeeded; its create call returns the card ID it generated
before the request. The channel stored that ID, so neither the running
reply's text fallback nor send()'s sampleMarkdown fallback could run,
every streamed update failed silently, and the final answer never
reached DingTalk.
Send createAndDeliver and the streaming update through the channel's
httpx client with its token, using the bodies the SDK sends, and raise
on HTTP and transport failures so both fallbacks run. The SDK replier,
its per-card map and the token shim it needed are removed.
* docs(changelog): reference #7781 for the DingTalk AI card fallback
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* fix(channels): give DingTalk AI cards the channel token, not the SDK fetch
AICardReplier's async card calls read dingtalk_client.get_access_token()
inline, and dingtalk-stream refreshes it with requests.post and no
timeout. Card creation and card streaming both run on the Gateway loop,
so the first card and every SDK refresh after it (about every two hours)
blocked the loop for the whole token request, without bound if DingTalk
stalled.
Hand the replier a _CardTokenClient that serves the channel's own
httpx token (10s timeout), set before card creation and before every
streamed update. A token failure while streaming now raises into send's
existing sampleMarkdown fallback instead of being skipped silently.
Pin it with a strict blocking-I/O anchor over a real DingTalkStreamClient
and AICardReplier, a gate meta-check, and unit tests for token rotation
and failure. LocalHttpServer also records each request's method, path
and headers.
* docs(changelog): reference #7597 for the DingTalk AI card token fetch
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>