Merge branch 'master' into tj202/PR_readme

libs/agentc_core/agentc_core/catalog/catalog/db.py

@@ -63,7 +63,9 @@ def find(
         """Returns the catalog items that best match a query."""
 
         # Catalog item has to be queried directly
-        if name is not None and snapshot is not None:
+        if name is not None:
+            if snapshot == LATEST_SNAPSHOT_VERSION:
+                snapshot = self.version.identifier
             # TODO (GLENN): Need to add some validation around bucket (to prevent injection)
             # TODO (GLENN): Need to add some validation around name (to prevent injection)
             item_query = f"""
@@ -77,18 +79,6 @@ def find(
                 return []
             query_embeddings = None
 
-        elif name is not None:
-            item_query = f"""
-                FROM `{self.bucket}`.`{DEFAULT_CATALOG_SCOPE}`.`{self.kind}_catalog` AS a
-                WHERE a.name = $name
-                SELECT a.*;
-            """
-            res, err = execute_query_with_parameters(self.cluster, item_query, {"name": name})
-            if err is not None:
-                logger.error(err)
-                return []
-            query_embeddings = None
-
         else:
             # Generate embeddings for user query
             query_embeddings = self.embedding_model.encode(query)
@@ -202,6 +192,9 @@ def find(
             descriptors.append(descriptor)
 
         # We compute the true cosine distance here (Couchbase uses a different score :-)).
+        if name is not None:
+            return [SearchResult(entry=descriptors[0], delta=1)]
+
         deltas = self.get_deltas(query_embeddings, [t.embedding for t in descriptors])
         results = [SearchResult(entry=descriptors[i], delta=deltas[i]) for i in range(len(deltas))]
         return sorted(results, key=lambda t: t.delta, reverse=True)

libs/agentc_core/tests/README.md

@@ -1,5 +1,5 @@
 # Agent-Catalog Core Tests
 
 1. Set your current working directory to be the parent folder (`libs/agentc_core`).
-2. Activate your Poetry environment with `poetry shell`.
+2. Activate your Poetry environment.
 3. Run `pytest tests` and wait for the results! To run just the smoke tests, use `pytest tests -m smoke`.

templates/agents/with_controlflow/README.md

@@ -27,7 +27,6 @@ This directory contains a starter project for building agents with Couchbase, Co
 
    ```bash
    poetry install --with analysis
-   poetry shell
    ```
 
 5. Run `agentc` to make sure this project has installed correctly (note that your first run will take a couple of