fix(provider): bound streamed content by bytes, not delta count - #4547
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Stream adapters capped retained content by the number of deltas the provider sent. Providers choose how finely they chunk a stream, and fine-grained tool streaming sends dozens of deltas per second, so a delta count is a wall-clock limit in disguise: - Anthropic: a tool input failed after 4,096 partial_json deltas (about 110 s of Claude Haiku tool streaming), and text or thinking failed after 8,192 deltas. - Google: every streamed text chunk was retained as its own raw part, capped at 8,192 retained items. Add a shared stream-retention primitive to veryfront/provider/shared. It bounds retained content by UTF-8 bytes, counts only zero-byte fragments (the only ones that can arrive without advancing the byte budget), and compacts accumulated fragments so storage stays proportional to content. Anthropic adopts it for tool input and retained text/thinking, OpenAI's tool-argument budget now delegates to it (unchanged behavior), and Google merges adjacent unsigned text chunks into one raw replay part. Every adapter now has a regression test that streams 20,000 small deltas through its text, reasoning, and tool-input paths.
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📝 WalkthroughWalkthroughThe change adds shared UTF-8 byte and empty-fragment retention utilities. Anthropic, Google, and OpenAI stream handlers use these utilities for bounded retention and fragment assembly. Tests cover long streams, byte limits, empty fragments, and raw-part merging. ChangesStream retention foundation
Anthropic stream integration
Google raw text retention
OpenAI tool argument retention
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~30 minutes Change: Bug fix Sequence Diagram(s)sequenceDiagram
participant ProviderStream
participant RetentionBudget
participant FragmentBuffer
participant RetainedState
ProviderStream->>RetentionBudget: reserve fragment bytes or empty-fragment count
RetentionBudget-->>ProviderStream: accept or report overflow
ProviderStream->>FragmentBuffer: append accepted content
FragmentBuffer-->>RetainedState: provide assembled retained content
Merge Risk: 🟡 Moderate · up to Google streams can retain oversized replay metadata or process unbounded empty text fragments. Restore accurate accounting and the empty-fragment flood guard before merging. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 30.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 10 functions across 13 files. (1 skipped: 1 unsupported.) ✨ Finishing Touches 💡 1📝 Generate docstrings 💡
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📦 Client bundle boundary
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Code Review: 89/100 — Good, minor suggestionsWell-diagnosed fix that replaces a per-delta counter with a shared byte-bounded retention primitive across all three provider stream adapters, backed by strong regression coverage and a real production-stream replay. Strengths
Concerns
Neither concern blocks merging — both are minor and easy to address with a comment or PR-description addendum rather than a code change. Generated by Claude Code |
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In `@extensions/ext-llm-google/src/google-stream.ts`:
- Line 265: Update the merged-text accounting near reserveRetainedBytes and the
finalization path so each appended fragment is charged using its escaped
JSON-string byte length, matching retainRawAssistantPart and the
MAX_GOOGLE_RETAINED_STATE_BYTES budget. Preserve the existing merge behavior,
and add a regression test covering escapable characters such as NUL, control
characters, or lone surrogates.
- Line 266: Update the adjacent-text merge path around run.text.append(text) to
call reserveRetainedItem only when the merged fragment’s text is empty,
preserving the existing byte reservation for non-empty text and avoiding a
chunk-count limit for non-empty merges.
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📒 Files selected for processing (14)
docs/api-reference/veryfront/provider.mdextensions/ext-llm-anthropic/src/anthropic-stream.test.tsextensions/ext-llm-anthropic/src/anthropic-stream.tsextensions/ext-llm-google/src/google-stream.test.tsextensions/ext-llm-google/src/google-stream.tsextensions/ext-llm-openai/src/openai-chat-stream.test.tsextensions/ext-llm-openai/src/openai-chat-stream.tsextensions/ext-llm-openai/src/openai-responses-stream.test.tsextensions/ext-llm-openai/src/openai-responses-stream.tsextensions/ext-llm-openai/src/openai-tool-input.test.tsextensions/ext-llm-openai/src/openai-tool-input.tssrc/provider/runtime-loader/stream-retention.test.tssrc/provider/runtime-loader/stream-retention.tssrc/provider/shared/index.ts
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…erges Merging adjacent text chunks shrank the raw-part count that anonymous function calls use for their fallback id, so the same stream produced different ids and could collide with a provider-supplied one. Track each retained part's original stream position, derive fallback ids from it, and emit the positions as rawAssistantPartIndexes so replay derives the same ids. Part indexes only need to increase; the part-count cap still bounds how many parts are stored. Charge merged text by its JSON-escaped size, as whole parts are charged, and count empty merged chunks against the retained-item limit.
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Content blocks and citations create state per value, so they stay capped by count as well as by bytes. Only streamed text and thinking deltas use the byte-bounded rule, where empty deltas alone count toward the item limit.
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Description
Stream adapters limited retained content by how many deltas the provider sent. Providers choose how finely they chunk a stream, and fine-grained tool streaming sends dozens of deltas per second. So a delta count works as a wall-clock limit:
partial_jsondeltas per tool callProvider stream failedIn production this failed every scheduled
agentic-email-processing-outlookingestion that saved a large email through a tool call. It affects self-managed runtimes too, because the limit sits in the framework, not in the network.Change
veryfront/provider/shared(src/provider/runtime-loader/stream-retention.ts):reserveStreamRetentionbounds retained content by UTF-8 bytes. It counts only zero-byte fragments, the only ones that can arrive without advancing the byte budget. This is the rule OpenAI's tool-argument budget already used, made reusable.StreamFragmentBuffercompacts every 256 fragments, so storage stays proportional to content. Millions of one-byte deltas do not become millions of array entries.appendOpenAIStreamToolArgumentdelegates to the shared rule. Behavior is unchanged.thoughtflag, no other fields) into one raw replay part, bounded by bytes. Parts with thought signatures or other data are never merged. The retained-item cap now counts only real structural parts.docs/api-reference/veryfront/provider.mdfor the new exports.Any future adapter should retain streamed content through these helpers rather than a per-delta counter.
Related Issue(s)
Fixes veryfront/veryfront-issue-inbox#1627
Part of veryfront/veryfront-issue-inbox#1622
Verification
partial_jsondeltas, more than 8,192 empty text deltas, and more than 8,192 Google parts that cannot be merged are all still rejected. Byte limits are still enforced, including for merged Google text.ext-llm-anthropic291 steps,ext-llm-openai166,ext-llm-google114,src/provider341, all passing.typecheck,docs:api-reference:check,docs:errors:checkand pre-push (fmt, lint, check) pass.tool_use,fine-grained-tool-streaming-2025-05-14, 7,386input_json_deltaevents,stop_reason: tool_use) was captured and replayed through the parser:docs:validatereports a violation indocs/api-reference/veryfront/agent.md:2004(createManagedBrokerHandler). This branch does not touch that file, so it is pre-existing onmain.Follow-ups (not in this PR)
RangeErrorwas swallowed behindProvider stream failedand a span labelledError/Error(veryfront/veryfront-issue-inbox#1615).max_tokensmid-tool-call, Anthropic sendsmessage_deltawithoutcontent_block_stop. The parser reportsmessage_delta was out of sequenceinstead ofProviderOutputTruncatedError.Type of Change
Checklist
Summary by CodeRabbit
Improvements
Documentation