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Swap the JSON encoder/decoder used across the backend from stdlib json to orjson when ENABLE_ORJSON is set — HTTP request bodies, JSONResponse bodies, upstream provider responses, SSE chunks, and socket.io/Redis payloads. The flag defaults to off, in which case the app uses stdlib json and engineio's codec verbatim, so default behaviour is unchanged. - json_codec exports JSONCodec (stdlib json or the orjson codec) and SOCKETIO_JSON (engineio's codec or the orjson codec); call sites import JSONCodec and stay implementation-agnostic - apply_orjson_http_json() is a no-op when the flag is off, leaving starlette's Request.json / JSONResponse.render untouched - the orjson codec falls back to the stdlib for inputs orjson rejects (non-str dict keys, ints beyond 64 bits, NaN literals) - orjson is imported only when the flag is on - FastAPI(default_response_class=...) is deliberately not used: an explicit default disables the Pydantic direct-to-bytes fast path for response_model routes |
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| .. | ||
| analytics.py | ||
| audio.py | ||
| auths.py | ||
| automations.py | ||
| calendar.py | ||
| channels.py | ||
| chats.py | ||
| configs.py | ||
| evaluations.py | ||
| files.py | ||
| folders.py | ||
| functions.py | ||
| groups.py | ||
| images.py | ||
| knowledge.py | ||
| memories.py | ||
| models.py | ||
| notes.py | ||
| notifications.py | ||
| ollama.py | ||
| openai.py | ||
| pipelines.py | ||
| prompts.py | ||
| retrieval.py | ||
| scim.py | ||
| skills.py | ||
| tasks.py | ||
| terminals.py | ||
| tools.py | ||
| users.py | ||
| utils.py | ||