[mod] small tavily engine changes

- add include_image_descriptions & include_answer to engine settings
- move [ai] prefix in results from title to content content
- minor doc fixes

searx/engines/tavily.py

@@ -9,10 +9,10 @@
 Tavily_ search API (AI engine). This engine implements the REST API
 (`POST /search`_) and does not make use of the `Tavily Python Wrapper`_.
 
-From the API response this engine generates *result items* (shown in the main
+From the API response, this engine generates *result items* (shown in the main
 result list) and an *answer result* (shown on top of the main result list).
 If the *answer* from Tavily contains an image, the *answer result* is turned
-into a *infobox result*.
+into an *infobox result*.
 
 .. attention::
 
@@ -43,7 +43,9 @@ Optional settings are:
 - :py:obj:`days`
 - :py:obj:`search_depth`
 - :py:obj:`max_results`
+- :py:obj:`include_answer`
 - :py:obj:`include_images`
+- :py:obj:`include_image_descriptions`
 - :py:obj:`include_domains`
 - :py:obj:`exclude_domains`
 
@@ -109,10 +111,9 @@ search_depth: str = "basic"
 """
 
 topic: str = ""
-"""The category of the search.  This will determine which of tavily's agents
-will be used for the search.  Currently: only ``general`` and ``news`` are
-supported and ``general`` will implicitly activate ``include_answer`` in the
-`POST /search`_ API."""
+"""The category of the search. This will determine which of Tavily's agents
+will be used for the search. Currently, only ``general`` and ``news`` are
+supported."""
 
 days: int = 3
 """The number of days back from the current date to include in the search results.
@@ -122,16 +123,23 @@ feature is only available when using the ``news`` search topic. Default is 3."""
 max_results: int = 5
 """The maximum number of search results to return. Default is 5."""
 
+include_answer: bool = True
+"""Include a short answer to the original query, generated by an LLM based on Tavily's
+search results."""
+
 include_images: bool = False
-"""Include a list of query-related images in the response.  Turns answer into
-infobox with first image (as far there are any images in the response).  Will
-implicitly activate ``include_image_descriptions`` in the `POST /search`_ API
-(adds descriptive text for each image).
+"""Include a list of query-related images in the response. Creates an infobox
+with the first image (as far as there are any images in the response) and the answer,
+if ``include_answer`` is also enabled.
 """
 
+include_image_descriptions: bool = False
+"""When ``include_images`` is set to True, this option adds descriptive text for
+each image."""
+
 include_domains: list[str] = []
 """A list of domains to specifically include in the search results. Default
-is ``[]```, which includes all domains."""
+is ``[]``, which includes all domains."""
 
 exclude_domains: list[str] = []
 """A list of domains to specifically exclude from the search results. Default
@@ -154,13 +162,12 @@ def request(query, params):
     }
 
     if include_images:
-        data["include_image_descriptions"] = True
+        data["include_image_descriptions"] = include_image_descriptions
 
     if topic == "general":
-        data["include_answer"] = True
+        data["include_answer"] = include_answer
 
     elif topic == "news":
-        data["topic"] = "news"
         data["days"] = days
 
     params["url"] = search_url
@@ -178,33 +185,32 @@ def response(resp):
     for result in data.get("results", []):
         results.append(
             {
-                "title": f"[{gettext('ai')}] {result['title']}",
+                "title": result['title'],
                 "url": result["url"],
-                "content": result["content"],
+                "content": f"[{gettext('ai')}] {result['content']}",
                 "publishedDate": _parse_date(result.get("published_date")),
             }
         )
 
     img_list = data.get("images")
     if img_list:
-        content = data.get("answer")
-        img_src = img_list[0]
-        if isinstance(img_list[0], dict):
-            img_src = img_list[0]["url"]
-            img_caption = gettext("Image caption") + ": " + img_list[0]["description"]
-            if not content:
-                gettext("Image caption")
-                content = img_caption
-            else:
-                content += "//" + img_caption
-
-        results.append(
-            {
+        result = {
             "infobox": f"Tavily [{gettext('ai')}]",
-                "img_src": img_src,
-                "content": content,
+            "img_src": img_list[0],
         }
-        )
+
+        content = data.get("answer")
+        if isinstance(img_list[0], dict):
+            result["img_src"] = img_list[0]["url"]
+            img_caption = f"<i>{gettext('Image caption')}</i>: {img_list[0]['description']}"
+            if not content:
+                result["content"] = img_caption
+            else:
+                result["content"] = f"{content}<br/>{img_caption}"
+        elif content:
+            result["content"] = content
+
+        results.append(result)
 
     elif data["answer"]:
         results.append({"answer": data["answer"]})