[Deprecation][2/N] Replace --task with --runner and --convert (#21470)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

examples/online_serving/openai_chat_completion_client_for_multimodal.py

@@ -9,7 +9,7 @@ Launch the vLLM server with the following command:
 vllm serve llava-hf/llava-1.5-7b-hf
 
 (multi-image inference with Phi-3.5-vision-instruct)
-vllm serve microsoft/Phi-3.5-vision-instruct --task generate \
+vllm serve microsoft/Phi-3.5-vision-instruct --runner generate \
     --trust-remote-code --max-model-len 4096 --limit-mm-per-prompt '{"image":2}'
 
 (audio inference with Ultravox)

examples/online_serving/openai_chat_embedding_client_for_multimodal.py

@@ -92,7 +92,7 @@ def dse_qwen2_vl(inp: dict):
 def parse_args():
     parser = argparse.ArgumentParser(
         "Script to call a specified VLM through the API. Make sure to serve "
-        "the model with --task embed before running this."
+        "the model with `--runner pooling` before running this."
     )
     parser.add_argument(
         "--model",

examples/online_serving/openai_cross_encoder_score.py

@@ -3,7 +3,7 @@
 """
 Example online usage of Score API.
 
-Run `vllm serve <model> --task score` to start up the server in vLLM.
+Run `vllm serve <model> --runner pooling` to start up the server in vLLM.
 """
 
 import argparse

examples/online_serving/openai_cross_encoder_score_for_multimodal.py

@@ -3,7 +3,7 @@
 """
 Example online usage of Score API.
 
-Run `vllm serve <model> --task score` to start up the server in vLLM.
+Run `vllm serve <model> --runner pooling` to start up the server in vLLM.
 """
 
 import argparse

examples/online_serving/openai_pooling_client.py

@@ -3,7 +3,7 @@
 """
 Example online usage of Pooling API.
 
-Run `vllm serve <model> --task <embed|classify|reward|score>`
+Run `vllm serve <model> --runner pooling`
 to start up the server in vLLM.
 """
 

examples/online_serving/prompt_embed_inference_with_openai_client.py

@@ -10,7 +10,7 @@ This script demonstrates how to:
 
 Run the vLLM server first:
 vllm serve meta-llama/Llama-3.2-1B-Instruct \
-  --task generate \
+  --runner generate \
   --max-model-len 4096 \
   --enable-prompt-embeds