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### What problem does this PR solve? This PR adds an Agent LLM setting to control thinking mode for official providers that expose a thinking switch. Related to #12842. Closes #15445. Some providers expose thinking controls through provider-specific request fields, but Agent LLM settings did not have a unified option for users to enable or disable thinking mode. This PR adds a `Thinking` selector with: - System default - Enabled - Disabled <img width="452" height="278" alt="8566b0b4-0546-4c8a-913d-f9bbd38319f6" src="https://github.com/user-attachments/assets/25b497f7-1ba0-4bfe-940d-6fe79287d6ab" /> <img width="471" height="971" alt="8a0a6bee-f45f-48d5-bd83-17af260de3db" src="https://github.com/user-attachments/assets/41ad43c1-5087-48f1-bf37-f2ca14c2be2f" /> Initial support is limited to the verified official providers: - Qwen / DashScope: `enable_thinking` - Kimi / Moonshot: `thinking.type` - GLM / ZHIPU-AI: `thinking.type` For LiteLLM-based providers, provider-specific fields are forwarded through `extra_body` before `drop_params` filtering so the request parameters are preserved. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: jiashi <jiashi19@outlook.com> Co-authored-by: Zhichang Yu <yuzhichang@gmail.com>
(1). Deploy RAGFlow services and images
https://ragflow.io/docs/build_docker_image
(2). Configure the required environment for testing
Install Python dependencies (including test dependencies):
uv sync --python 3.13 --only-group test --no-default-groups --frozen
Activate the environment:
source .venv/bin/activate
Install SDK:
uv pip install sdk/python
Modify the .env file: Add the following code:
COMPOSE_PROFILES=${COMPOSE_PROFILES},tei-cpu
TEI_MODEL=BAAI/bge-small-en-v1.5
RAGFLOW_IMAGE=infiniflow/ragflow:v0.26.2 #Replace with the image you are using
Start the container（wait two minutes）:
docker compose -f docker/docker-compose.yml up -d
(3). Test Elasticsearch
a) Run sdk tests against Elasticsearch:
export HTTP_API_TEST_LEVEL=p2
export HOST_ADDRESS=http://127.0.0.1:9380 # Ensure that this port is the API port mapped to your localhost
pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
b) Run http api tests against Elasticsearch:
pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api
(4). Test Infinity
Modify the .env file:
DOC_ENGINE=${DOC_ENGINE:-infinity}
Start the container:
docker compose -f docker/docker-compose.yml down -v
docker compose -f docker/docker-compose.yml up -d
a) Run sdk tests against Infinity:
DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
b) Run http api tests against Infinity:
DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api