Agent OS · Component · contextual-streaming-dialogue
Contextual streaming assistant with history
What it does
Chains audio/text input, optional research and model responses; persists conversation history in SQLite and emits transcript/status/delta/completion events with timings.
Core pattern
Input and retrieval chaining + streamed replies and session history
- Input
- Text or transcript plus device context
- Output
- Answer, cited sources, latency metrics and persisted turns
Key parameters
| Name | Type | Default | Values |
|---|---|---|---|
| provider | string | — | — |
| text | — | — | — |
| audio | — | — | — |
| device_context | — | — | — |
| language | — | — | — |
Maturity and limits
Both JSON and NDJSON endpoints and history tests are present; mock LLM is configurable. Source paths were inspected statically; tests and live integrations were not executed. This rating describes implemented code, not production validation.
No authentication/tenant isolation shown in inspected routes; conversation IDs identify stored history.
Used in pipelines
Industry tags
- Business & general servicesTransferable use
For office assistants taking meeting requests with consent, use input and retrieval chaining followed by streamed replies and session history.
- Lifestyle & consumer appsTransferable use
Support “Continue the unfinished request” with input and retrieval chaining followed by streamed replies and session history.
Skills pack
Contract scaffold and deterministic mock
Download · 13KBSHA-256 5102aa387d2a0bb5778deec0ec71bfb1d18df00faaf99f78091b80c626a12c58
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