fix: strip Anthropic params from 3P resume paths (#479)

* fix: strip Anthropic-specific params from 3P provider paths

Three silent failure modes affecting all third-party provider users:

1. Thinking blocks serialized as <thinking> text corrupt multi-turn
   context — strip them instead of converting to raw text tags.

2. Unknown models fall through to 200k context window default, so
   auto-compact never triggers — use conservative 8k for unknown
   3P models with a warning log.

3. Session resume with thinking blocks causes 400 or context corruption
   on 3P providers — strip thinking/redacted_thinking content blocks
   from deserialized messages when resuming against a non-Anthropic
   provider.

Addresses findings 2, 3, and 5 from #248.

* test: align resume stripping expectation with orphan-thinking filter

* test: isolate provider env in conversation recovery tests

* test: move provider-sensitive resume coverage behind module mocks

* test: trim extra blank lines in conversation recovery test

Keep the focused provider-resume test diff clean so the regression branch stays easy to review.

Co-Authored-By: Claude Opus 4.6 <noreply@openclaude.dev>

---------

Co-authored-by: Claude Opus 4.6 <noreply@openclaude.dev>
This commit is contained in:
Juan Camilo Auriti
2026-04-07 17:24:10 +02:00
committed by GitHub
parent 600c01faf7
commit 4975cfc2e0
5 changed files with 137 additions and 9 deletions

View File

@@ -72,16 +72,23 @@ export function getContextWindowForModel(
return 1_000_000
}
// OpenAI-compatible provider — use known context windows for the model
if (
// OpenAI-compatible provider — use known context windows for the model.
// Unknown models get a conservative 8k default so auto-compact triggers
// before hitting a hard context_window_exceeded error (issue #248 finding 3).
const isOpenAIProvider =
isEnvTruthy(process.env.CLAUDE_CODE_USE_OPENAI) ||
isEnvTruthy(process.env.CLAUDE_CODE_USE_GEMINI) ||
isEnvTruthy(process.env.CLAUDE_CODE_USE_GITHUB)
) {
if (isOpenAIProvider) {
const openaiWindow = getOpenAIContextWindow(model)
if (openaiWindow !== undefined) {
return openaiWindow
}
console.error(
`[context] Warning: model "${model}" not in context window table — using conservative 8k default. ` +
'Add it to src/utils/model/openaiContextWindows.ts for accurate compaction.',
)
return 8_000
}
const cap = getModelCapability(model)