org.llm4s.llmconnect.streaming
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Server-Sent Events (SSE) parser for streaming LLM responses.
Server-Sent Events (SSE) parser for streaming LLM responses.
Handles the SSE format used by both OpenAI and Anthropic streaming endpoints. SSE format consists of fields like:
- data:
- event:
- id:
- retry:
- :
Attributes
- Supertypes
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class Objecttrait Matchableclass Any
- Self type
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SSEParser.type
Accumulates streaming chunks into a complete response. Handles content accumulation, tool call accumulation, thinking content, and token tracking.
Accumulates streaming chunks into a complete response. Handles content accumulation, tool call accumulation, thinking content, and token tracking.
Mutable and not thread-safe: use one accumulator per stream, fed from the thread that reads it. Tool calls are keyed by id, so every chunk of a streamed tool call - continuations included - must carry its call's id; a tool-call chunk with an empty id is ignored. Clients whose wire format identifies continuations only by index must map them back to the id first.
Attributes
- Companion
- object
- Supertypes
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class Objecttrait Matchableclass Any
Factory for creating accumulators
Factory for creating accumulators
Attributes
- Companion
- class
- Supertypes
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class Objecttrait Matchableclass Any
- Self type
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StreamingAccumulator.type
Shared boundary parser for streaming tool-call arguments.
Shared boundary parser for streaming tool-call arguments.
- Empty input yields an empty object sentinel for accumulators.
- Valid JSON is parsed as-is.
- Invalid/partial JSON is preserved as a raw string for later assembly.
- JSON nested more than 512 levels deep is preserved as a raw string too: the arguments are model output, and a value that deep overflows the stack of whatever renders it next (#1562).
Attributes
- Supertypes
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class Objecttrait Matchableclass Any
- Self type