descrease potential values to 5 from 10

skyvern/constants.py

@@ -15,6 +15,7 @@
 SAVE_DOWNLOADED_FILES_TIMEOUT = 180
 GET_DOWNLOADED_FILES_TIMEOUT = 30
 NAVIGATION_MAX_RETRY_TIME = 5
+AUTO_COMPLETION_POTENTIAL_VALUES_COUNT = 5
 
 # reserved fields for navigation payload
 SPECIAL_FIELD_VERIFICATION_CODE = "verification_code"

skyvern/forge/prompts/skyvern/auto-completion-potential-answers.j2

@@ -1,5 +1,5 @@
 You're doing an auto completion input action on HTML page. The current filled value doesn't match any option.
-Based on the context, current value, user goal and user details, give ten most potential values with the same meaning as the current value.
+Based on the context, current value, user goal and user details, give {{ potential_value_count }} most potential values with the same meaning as the current value.
 You can provide values like:
     - Subset or superset meaning from the current value
     - Summarized from the current value

skyvern/webeye/actions/handler.py

@@ -14,7 +14,12 @@
 from pydantic import BaseModel
 
 from skyvern.config import settings
-from skyvern.constants import BROWSER_DOWNLOAD_TIMEOUT, REPO_ROOT_DIR, SKYVERN_ID_ATTR
+from skyvern.constants import (
+    AUTO_COMPLETION_POTENTIAL_VALUES_COUNT,
+    BROWSER_DOWNLOAD_TIMEOUT,
+    REPO_ROOT_DIR,
+    SKYVERN_ID_ATTR,
+)
 from skyvern.exceptions import (
     EmptySelect,
     ErrEmptyTweakValue,
@@ -1597,17 +1602,19 @@ async def input_or_auto_complete_input(
 
         prompt = prompt_engine.load_prompt(
             "auto-completion-potential-answers",
+            potential_value_count=AUTO_COMPLETION_POTENTIAL_VALUES_COUNT,
             field_information=input_or_select_context.field,
             current_value=current_value,
             navigation_goal=task.navigation_goal,
             navigation_payload_str=json.dumps(task.navigation_payload),
         )
 
         LOG.info(
-            "Ask LLM to give 10 potential values based on the current value",
+            "Ask LLM to give potential values based on the current value",
             current_value=current_value,
             step_id=step.step_id,
             task_id=task.task_id,
+            potential_value_count=AUTO_COMPLETION_POTENTIAL_VALUES_COUNT,
         )
         json_respone = await app.SECONDARY_LLM_API_HANDLER(prompt=prompt, step=step)
         values: list[dict] = json_respone.get("potential_values", [])