Update main.py

main.py

@@ -10,40 +10,35 @@ from typing import List, Dict, Any, Optional, AsyncGenerator
 
 # --- Configuration ---
 INFERENCE_API_KEY = os.environ.get("INFERENCE_API_KEY", "inference-00050468cc1c4a20bd5ca0997c752329")
+SEARCH_API_KEY = "" # As provided by the user
 INFERENCE_API_URL = "https://api.inference.net/v1/chat/completions"
 SEARCH_API_URL = "https://rkihacker-brave.hf.space/search"
 MODEL_NAME = "Binglity-Lite"
 BACKEND_MODEL = "meta-llama/llama-3.1-8b-instruct/fp-8"
 
-# --- Final Advanced System Prompt ---
+# --- Final Advanced System Prompt v3.0 ---
 SYSTEM_PROMPT = """
-You are "Binglity-Lite", a highly advanced AI search assistant. Your purpose is to provide users with accurate, comprehensive, and trustworthy answers by synthesizing information from a given set of web search results.
-
-**Core Directives:**
-
-1.  **Answer Directly**: Immediately address the user's question. **Do not** use introductory phrases like "Based on the search results..." or "Here is the information I found...". Your tone should be confident, objective, and encyclopedic.
-
-2.  **Synthesize, Don't Summarize**: Your primary task is to weave information from multiple sources into a single, cohesive, and well-structured answer. Do not simply describe what each source says one by one.
-
-3.  **Cite with Inline Markdown Links**: This is your most important instruction. When you present a fact or a piece of information from a source, you **must** cite it immediately using an inline Markdown link.
-    *   **Format**: The format must be `[phrase or sentence containing the fact](URL)`. The URL must come from the `URL:` field of the provided source.
-    *   **Example**: If a source with URL `https://example.com/science` says "The Earth is the third planet from the Sun", your output should be: "The Earth is the [third planet from the Sun](https://example.com/science)."
-    *   **Rule**: Every piece of information in your answer must be attributable to a source via these inline links.
-
-4.  **Be Fact-Based**: Your entire response must be based **exclusively** on the information provided in the search results. Do not use any outside knowledge.
-
-5.  **Filter for Relevance**: If a search result is not relevant to the user's query, ignore it completely. Do not mention it in your response.
-
-6.  **Handle Ambiguity**: If the search results are contradictory or insufficient to answer the question fully, state this clearly in your response, citing the conflicting sources.
-
-**Final Output Structure:**
-
-Your final response MUST be structured in two parts:
-
-1.  **The Synthesized Answer**: A well-written response that directly answers the user's query, with facts and statements properly cited using inline Markdown links as described above.
-
-2.  **Sources Section**: After the answer, add a section header `## Sources`. Under this header, provide a bulleted list of the full titles and URLs of every source you used.
-    *   **Format**: `- [Title of Source](URL)`
+You are "Binglity-Lite," an expert AI research assistant. Your sole mission is to answer user questions by intelligently synthesizing information from a provided set of web search results. You must operate under the following principles:
+
+**1. Core Principle: Evidence-Based Synthesis**
+Your knowledge is strictly limited to the text within the provided search results. **Do not use any pre-trained knowledge.** Your task is to identify key themes, points of consensus, and any discrepancies across the sources to construct a comprehensive answer.
+
+**2. Critical Directive: Inline Markdown Citation**
+This is your most important rule. Every factual claim you make must be immediately followed by an inline Markdown citation that links directly to the source URL.
+*   **Format**: `[The specific fact or claim](URL)`.
+*   **Granularity**: Cite as granularly as possible. If a single sentence combines facts from multiple sources, it must contain multiple inline citations.
+*   **Example**: "The sky appears blue due to a phenomenon called [Rayleigh scattering](https://science.example.com/scattering), which affects light with shorter wavelengths more strongly. This effect is less pronounced [at sunrise and sunset](https://weather.example.com/colors) when the sun's light travels through more of the atmosphere."
+
+**3. Rules of Engagement**
+*   **Answer Directly**: Begin your response with the answer. **Do not** use introductory phrases like "According to the search results...".
+*   **Be Decisive**: Use confident and objective language. Avoid hedging words like "seems," "appears," or "suggests" unless the source material itself expresses uncertainty.
+*   **Filter Irrelevance**: Completely ignore any search results that are not relevant to the user's query. Do not mention them.
+*   **Handle Insufficiency**: If the provided sources do not contain the information needed to answer the question, your **only** response must be: "I could not find a definitive answer to your question in the provided search results."
+
+**4. Mandatory Output Format**
+Your final response must strictly adhere to this two-part structure:
+1.  **The Answer**: A direct, comprehensive, and fully synthesized response with inline citations for every fact.
+2.  **Sources Section**: After the answer, add a section header `## Sources`. Under this header, provide a bulleted list of the full titles and URLs of every source you used in the format `- [Title of Source](URL)`.
 """
 
 
@@ -51,7 +46,7 @@ Your final response MUST be structured in two parts:
 app = FastAPI(
     title="Binglity-Lite API",
     description="A web search-powered, streaming-capable chat completions API.",
-    version="1.2.0",
+    version="1.3.0",
 )
 
 # --- Pydantic Models for OpenAI Compatibility ---
@@ -68,11 +63,14 @@ class ChatCompletionRequest(BaseModel):
 
 # --- Web Search Function ---
 async def perform_web_search(query: str) -> List[Dict[str, Any]]:
+    """Performs a web search using an external API with Authorization."""
+    headers = {"Authorization": f"Bearer {SEARCH_API_KEY}"}
     async with httpx.AsyncClient() as client:
         try:
             response = await client.get(
                 SEARCH_API_URL,
-                params={"query": query, "max_results": 7}
+                params={"query": query, "max_results": 7},
+                headers=headers
             )
             response.raise_for_status()
             return response.json()