mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-10-26 13:16:24 +00:00
fe70cfc5ae
* feat(examples): add a standalone text classification plugin A deployment-installed package contributes one model tool, classify_texts, and a status action through the full-stack plugin contract. The tool labels a list of texts against caller-supplied categories with a deployment-configured backend: Jev (one choice question per item over a shared batch state, checked per item) or an OpenAI-compatible chat endpoint (a JSON label list validated in code). Items are packed into requests under a size limit and sent with bounded concurrency; every failure is explicit per call or per item; credentials come only from deployment-named environment variables; item text never enters instructions, question keys, results or errors, and the served model name is kept to a short identifier. Each batch runs under an asyncio timeout bounded by the call deadline, so the whole call stays inside the host's 30-second limit, and ids and category names are bounded in bytes so 300 results fit the host's 64 KiB output limit. * docs(examples): add an opt-in live smoke test for the text classification plugin The script loads the package through the real extension path and classifies 20 synthetic English and Chinese sentences plus a blank and an over-long item with the configured backend, printing labels and statuses only. Against real Jev it agreed on all 20 labels in two requests and 1.6 seconds, with the served model reported as jev-1.13.0. * fix(examples): measure request size as sent and cover transport failures httpx serializes json= bodies with the json.dumps default, escaping every non-ASCII character as six bytes, while the size estimators measured raw UTF-8, so CJK batches could reach about twice the 256 KiB limit. The estimators now measure the same encoding; a test with CJK categories and texts checks the bytes the transport actually received. The network status gets a test through connect and protocol errors, and the deadline test's wall-clock slack is widened for loaded runners. * fix(examples): match classifier request wire encoding * fix(examples): bound classification output keys by JSON size --------- Co-authored-by: Totoro-qaq <279883115+Totoro-qaq@users.noreply.github.com>
23 lines
611 B
TOML
23 lines
611 B
TOML
[project]
|
|
name = "deerflow-extension-jev-classify"
|
|
version = "0.1.0"
|
|
description = "Opt-in text-list classification for DeerFlow through Jev or an OpenAI-compatible chat endpoint"
|
|
readme = "README.md"
|
|
requires-python = ">=3.12"
|
|
license = "MIT"
|
|
dependencies = [
|
|
"deerflow-extension-api>=0.2.2,<0.3",
|
|
"httpx>=0.28,<1",
|
|
"pydantic>=2.12,<3",
|
|
]
|
|
|
|
[project.entry-points."deerflow.extensions"]
|
|
jev-classify = "deerflow_extension_jev_classify:install"
|
|
|
|
[build-system]
|
|
requires = ["hatchling"]
|
|
build-backend = "hatchling.build"
|
|
|
|
[tool.hatch.build.targets.wheel]
|
|
packages = ["deerflow_extension_jev_classify"]
|