added clarifying structural info to ReAct prompt (still ~69% shorter than previous prompt) and shortened the RAG prompt

1 files changed, 25 insertions, 3 deletions

diff --git a/src/client/views/nodes/chatbot/agentsystem/prompts.ts b/src/client/views/nodes/chatbot/agentsystem/prompts.ts
index 9daabc35f..7000d8634 100644
--- a/src/client/views/nodes/chatbot/agentsystem/prompts.ts
+++ b/src/client/views/nodes/chatbot/agentsystem/prompts.ts
@@ -26,12 +26,33 @@ export function getReactPrompt(tools: Tool[], summaries: () => string, chatHisto
         <point>Ensure that **ALL answers follow the answer structure**: grounded text wrapped in <grounded_text> tags with corresponding citations, normal text in <normal_text> tags, and three follow-up questions at the end.</point>
     </critical_points>
 
+    <thought_structure>
+        <thought>
+            <description>
+                Always provide a thought before each action to explain why you are choosing the next step or tool. This helps clarify your reasoning for the action you will take.
+            </description>
+        </thought>
+    </thought_structure>
+
+    <action_input_structure>
+        <action_input>
+            <action_input_description>
+                Always describe what the action will do in the <action_input_description> tag. Be clear about how the tool will process the input and why it is appropriate for this stage.
+            </action_input_description>
+            <inputs>
+                <description>
+                    Provide the actual inputs for the action in the <inputs> tag. Ensure that each input is specific to the tool being used. Inputs should match the expected parameters for the tool (e.g., a search term for the website scraper, document references for RAG).
+                </description>
+            </inputs>
+        </action_input>
+    </action_input_structure>
+
     <answer_structure>
         <answer>
             <grounded_text> - All information derived from tools or user documents must be wrapped in these tags with proper citation.</grounded_text>
-            <normal_text> - Use this tag for text not derived from tools or user documents.</normal_text>
+            <normal_text> - Use this tag for text not derived from tools or user documents. It should only be for narrative-like text or extremely common knowledge information.</normal_text>
             <citations>
-                <citation> - Provide proper citations for each <grounded_text>, referencing the tool or document chunk used.</citation>
+                <citation> - Provide proper citations for each <grounded_text>, referencing the tool or document chunk used. ENSURE THAT THERE IS A CITATION WHOSE INDEX MATCHES FOR EVERY GROUNDED TEXT CITATION INDEX. </citation>
             </citations>
             <follow_up_questions> - Provide exactly three user-perspective follow-up questions.</follow_up_questions>
             <loop_summary> - Summarize the actions and tools used in the conversation.</loop_summary>
@@ -41,7 +62,8 @@ export function getReactPrompt(tools: Tool[], summaries: () => string, chatHisto
     <grounded_text_guidelines>
         <step>**Wrap ALL tool-based information** in <grounded_text> tags and provide citations.</step>
         <step>Use separate <grounded_text> tags for distinct information or when switching to a different tool or document.</step>
-        <step>Ensure that **EVERY** <grounded_text> tag includes a citation index referencing the source of the information.</step>
+        <step>Ensure that **EVERY** <grounded_text> tag includes a citation index aligned with a citation that you provide that references the source of the information.</step>
+        <step>There should be a one-to-one relationship between <grounded_text> tags and citations.</step>
         <step>Over-citing is discouraged—only cite the information that is directly relevant to the user's query.</step>
     </grounded_text_guidelines>