Improvements based on code feedback

.github/workflows/run_evals.yml

@@ -108,7 +108,7 @@ jobs:
           BATCH_SIZE: "20"
           RANDOMIZE: "True"
           KHOJ_URL: "http://localhost:42110"
-          KHOJ_CHAT_MODEL: ${{ github.event_name == 'workflow_dispatch' && inputs.chat_model || 'gemini-2.0-flash' }}
+          KHOJ_DEFAULT_CHAT_MODEL: ${{ github.event_name == 'workflow_dispatch' && inputs.chat_model || 'gemini-2.0-flash' }}
           KHOJ_LLM_SEED: "42"
           GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
           SERPER_DEV_API_KEY: ${{ matrix.dataset != 'math500' && secrets.SERPER_DEV_API_KEY }}

src/khoj/processor/conversation/prompts.py

@@ -1051,7 +1051,7 @@ print(\"Evaluated Expression at x=1:\", evaluated_expression)
 
 Example 3:
 ---
-Q: Plot the world ppulation growth over the years, given this year, world population world tuples: [(2000, 6), (2001, 7), (2002, 8), (2003, 9), (2004, 10)].
+Q: Plot the world population growth over the years, given this year, world population world tuples: [(2000, 6), (2001, 7), (2002, 8), (2003, 9), (2004, 10)].
 A: Absolutely! We can utilize the Pandas and Matplotlib libraries (as both are available in the sandbox) to create the world population growth plot.
 ```python
 import pandas as pd

src/khoj/processor/tools/run_code.py

@@ -40,6 +40,7 @@ logger = logging.getLogger(__name__)
 
 
 SANDBOX_URL = os.getenv("KHOJ_TERRARIUM_URL", "http://localhost:8080")
+DEFAULT_E2B_TEMPLATE = "pmt2o0ghpang8gbiys57"
 
 
 class GeneratedCode(NamedTuple):
@@ -219,7 +220,7 @@ async def execute_e2b(code: str, input_files: list[dict]) -> dict[str, Any]:
 
     sandbox = await AsyncSandbox.create(
         api_key=os.getenv("E2B_API_KEY"),
-        template=os.getenv("E2B_TEMPLATE", "pmt2o0ghpang8gbiys57"),
+        template=os.getenv("E2B_TEMPLATE", DEFAULT_E2B_TEMPLATE),
         timeout=120,
         request_timeout=30,
     )
@@ -232,7 +233,7 @@ async def execute_e2b(code: str, input_files: list[dict]) -> dict[str, Any]:
         ]
         await asyncio.gather(*upload_tasks)
 
-        # Note stored files before execution
+        # Note stored files before execution to identify new files created during execution
         E2bFile = NamedTuple("E2bFile", [("name", str), ("path", str)])
         original_files = {E2bFile(f.name, f.path) for f in await sandbox.files.list("~")}
 
@@ -261,7 +262,7 @@ async def execute_e2b(code: str, input_files: list[dict]) -> dict[str, Any]:
 
         # Collect output files from execution results
         for idx, result in enumerate(execution.results):
-            for result_type in ["png", "jpeg", "svg", "text", "markdown", "json"]:
+            for result_type in {"png", "jpeg", "svg", "text", "markdown", "json"}:
                 if b64_data := getattr(result, result_type, None):
                     output_files.append({"filename": f"{idx}.{result_type}", "b64_data": b64_data})
                     break

src/khoj/utils/initialization.py

@@ -309,7 +309,7 @@ def initialization(interactive: bool = True):
 
     # Update the default chat model if it doesn't match
     chat_config = ConversationAdapters.get_default_chat_model()
-    env_default_chat_model = os.getenv("KHOJ_CHAT_MODEL")
+    env_default_chat_model = os.getenv("KHOJ_DEFAULT_CHAT_MODEL")
     if not chat_config or not env_default_chat_model:
         return
     if chat_config.name != env_default_chat_model: