diff --git a/tests/agents/rlm/test_sandbox.py b/tests/agents/rlm/test_sandbox.py
index 0acbcf63..6f6c12d9 100644
--- a/tests/agents/rlm/test_sandbox.py
+++ b/tests/agents/rlm/test_sandbox.py
@@ -1,14 +1,21 @@
 import os
+from contextlib import AbstractContextManager
+from pathlib import Path
 
 import docker
 import docker.errors
 import pytest
+import vcr
+import vcr.cassette
+from tests import json_body_serializer
 
 from haiku.rag.agents.rlm.dependencies import RLMContext
 from haiku.rag.agents.rlm.docker_sandbox import DockerSandbox, SandboxResult
 from haiku.rag.client import HaikuRAG
 from haiku.rag.config.models import RLMConfig
 
+CASSETTE_DIR = str(Path(__file__).parent.parent.parent / "cassettes" / "test_sandbox")
+
 
 def is_docker_available() -> bool:
     """Check if Docker daemon is available."""
@@ -27,6 +34,19 @@ docker_required = pytest.mark.skipif(
 )
 
 
+def cassette(name: str) -> AbstractContextManager[vcr.cassette.Cassette]:
+    """VCR cassette scoped to embedding calls only (not docker-py)."""
+    v = vcr.VCR()
+    v.register_serializer("yaml", json_body_serializer)
+    return v.use_cassette(
+        f"{CASSETTE_DIR}/{name}.yaml",
+        record_mode="none" if os.environ.get("CI") else "new_episodes",
+        filter_headers=["authorization", "x-api-key"],
+        ignore_hosts=["huggingface.co"],
+        decode_compressed_response=True,
+    )
+
+
 @pytest.mark.integration
 class TestDockerSandboxBasics:
     """Test basic Docker sandbox functionality."""
@@ -106,11 +126,12 @@ class TestDockerSandboxHaikuRAG:
     async def test_list_documents_with_data(self, temp_db_path, test_docker_image):
         """Test list_documents returns documents when populated."""
         async with HaikuRAG(temp_db_path, create=True) as client:
-            await client.create_document(
-                content="Test content",
-                uri="test://doc1",
-                title="Test Document",
-            )
+            with cassette("test_list_documents_with_data"):
+                await client.create_document(
+                    content="Test content",
+                    uri="test://doc1",
+                    title="Test Document",
+                )
 
             config = RLMConfig(docker_image=test_docker_image)
             context = RLMContext()
@@ -128,7 +149,7 @@ class TestDockerSandboxHaikuRAG:
     @pytest.mark.asyncio
     @pytest.mark.skipif(
         os.environ.get("CI") == "true",
-        reason="Requires Ollama running inside Docker container",
+        reason="Requires Ollama inside Docker container",
     )
     async def test_search_with_data(self, temp_db_path, test_docker_image):
         """Test search function works."""
@@ -159,11 +180,12 @@ class TestDockerSandboxHaikuRAG:
     async def test_get_document(self, temp_db_path, test_docker_image):
         """Test get_document function."""
         async with HaikuRAG(temp_db_path, create=True) as client:
-            doc = await client.create_document(
-                content="Content about foxes and dogs.",
-                uri="test://doc",
-                title="Fox Document",
-            )
+            with cassette("test_get_document"):
+                doc = await client.create_document(
+                    content="Content about foxes and dogs.",
+                    uri="test://doc",
+                    title="Fox Document",
+                )
 
             config = RLMConfig(docker_image=test_docker_image)
             context = RLMContext()
@@ -199,16 +221,17 @@ class TestDockerSandboxContextFilter:
     ):
         """Test that context filter is passed to list_documents."""
         async with HaikuRAG(temp_db_path, create=True) as client:
-            await client.create_document(
-                content="Public content",
-                uri="public://doc1",
-                title="Public Doc",
-            )
-            await client.create_document(
-                content="Private content",
-                uri="private://doc2",
-                title="Private Doc",
-            )
+            with cassette("test_filter_applied_to_list_documents"):
+                await client.create_document(
+                    content="Public content",
+                    uri="public://doc1",
+                    title="Public Doc",
+                )
+                await client.create_document(
+                    content="Private content",
+                    uri="private://doc2",
+                    title="Private Doc",
+                )
 
             config = RLMConfig(docker_image=test_docker_image)
             context = RLMContext(filter="uri LIKE 'public://%'")
diff --git a/tests/cassettes/test_sandbox/test_filter_applied_to_list_documents.yaml b/tests/cassettes/test_sandbox/test_filter_applied_to_list_documents.yaml
new file mode 100644
index 00000000..32d20513
--- /dev/null
+++ b/tests/cassettes/test_sandbox/test_filter_applied_to_list_documents.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '84'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - Public content
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: 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
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 3
+        total_tokens: 3
+    status:
+      code: 200
+      message: OK
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '85'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - Private content
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: Rs/TN6Q0iTs7NSI9XpwlvdECL7lTlVY9DfP0PJF52LyrYdg8novHOyuT57uc67E8/EM6OyjQXb3VtKk6vmuOvNvtgbt7N7C8ly7mPC6Lgbt2waK80xKmvE3zrj0gIqW8YVXpuypw2bw03ai8CxihvQBTGz3x9xm96zVuPN+qOr2YoJg8WoiaPGZNgztwPrK7Zkltu5t5Jrwl4bQ8iZCjOPi0lDyoPtU7NL3iPBc9DLufxzG9JsEtu4I6kjul6Ok6gRWlOvE/jbvDckQ8syeFO3Vo2bwG9em8hkTWPDzDlTsARYo8GTuFu+uyer3Otr+8fd/Fu5NSVDtqIoQ7uxtMu9Q0XrpH5qa8/x0SPLGzP73Tc4s8TOpbvOJNATwmWqK8fH7Nu+02rjyys8U6iU/evM+PwrsXUg09cTOPPEYYIzw3kR48tsW2OyHLnDsHPmw8L87kPKOdPzwKd7c76MqjutciIr3pAPY7HGSFPO3qETxl6ra592LVO9rXs7vsoyW8MO1svBuambzbLaq8ADNxPDIB/TuI+zG8mdOEPIrGfbsm4gq9hJzCvCd4P7yyHFq8nfrxulWGfzkSdSe6xKZwvHQgMLxH/fa8blnEvC9Je7yLHYs8HvsCPIsFBDyXyYQ7CtIlu/R89TzWOtu6ZNYPPETZADzlTYC81LEevIe4VLzRWYu8UVzsO7hnpzwt9WO8vYa7PHH0r7xA35W7f8WjvKdSobqoyEC7YsxZu3EjBzylJQS8GNHBPKVSezwuTJq8rAMovOQxU736/oC7PGH/u3+S0TsH4JG61rOMPIjnI7zxkEY79yp+PJSsLTwtdNk8FEo4vFrKrDw03Iw8w5xCPAF0J7xmOdw8viy3vMNuDjwOiHm73u4DvOCY37sCdce8zxXmu687KL3WYn679izKvCMjDrz7tiG8xWksvDCfgboXdU+8EqBDvKoux7uHDnc9Fq4lvHTyt7z0PVu8k2RGvP3llzsef6G6bovEOzctVjyquxE8xLqYPEKtRLwHvJw8pG3Qu0SIBjw7mIa88D+qu+xu8Lxvraa8czyMvII4ozzZz5k7ZAb2u5J9Zz12nwy8c8n2O4bEpbsDOWA8W6p/vOdskjyoMWq8xWmGPC0WjrxJHtu7JwkDO2zqJDw2xlG7zofTvCAmmLx9OLs85CNEPOHUjbl887O7uSgNvH9qpLtBg/+8xBFyPAnkrzwGnXG66GdIPAeeqjpNO8M8xAasPAkr5bvWY+u8924kPEjgWbyYj+i7KXQRPNWiPDvUxkM7rHzbO/nEO7zxGm47YIwdPD78M7yHT6O80sp1O2UzbbxOqJS85omyvHit+7tgt4i7VXXxu93+srsW9tG72xL1uUVNWrt6+fU82nU0PH8vlTyMDLM7KHurO4LSfbzefgu8ZNaUOtEIerw57uE8K3i1POI24TsWKae89KaqPR/L7LxYQJG87yKUPLefVrv0E9i6ndK5OxA3czybVg48//lVPLingbx0+ok7yFsHvbNjsjoJgJk72/vXu3dQIT3Y2rs8gXO9vCA0yLvpnW07H0d0vEhQFD3pooK7izbMPCWD1jvT8ak8BuRsvCXkhjwmGkG7xIrmu5HX7jkqOQ26YtDCuqQg1jtw1P+8lmH2O1IKijt/YpY873nVO6mgrLumOqe6VgJlPH6fr7yMvpy8wcQfvZSveTyWNoK7xfwfvXC8+7x3xNC5snAYvZgBIbyKf468E5yiPGGfv7yjajY8UOueObFv/Lzcu5a7OhSbvPy9+jw91XI8EbdQvFBopbp4ypa8DkiAO1Gwtjxohlk8+bBlOmEb7rseozo8fIKjvIUlzTxSmcK86YqIvKcx3zxBnW68wgvXvKVXqrwHZGo8WKKDvKg6TzyUYtK8d0A/vEKIBD2vLQu9UCpeO9jCEzw3R0w7axqYvFY/Njwn9787zCzMO1Sfnbz1mVQ8TJPru4mYsTzCWQM97pr3vFXDoTyGnwo90HZXPPGXNTxaMQg9qw+AuzwtJbziBfa72+MGvGYqAzxjNys887dKu/PQebyvVKQ6cSJVum/rPDwfKBg8hqHwPHWlizvQrhE9edr/vB3pUzv3E7U7U0dfPOMGebxdjP47MM6cOwIZAj0LYhw9ENH4u9Xdc7wymXc8dqUXvMY/GDwTAbm84/25vEgVyLrvhjI93OIJPd5el7wfGUy6zs0FPFijZTuXldy8/OKxvJsHBT0KHAg83FQCvTR3Zr0T+sI8MxDWPFWulLzAvLm6uQuCvI+DDL0LQSM9nGTKvDJwtjwXJm28SdPbPCOhX7yIUBu8nczwOxqIGT0oYMK6u8wEPbCmSTybyq46XsmBPBLj3byzswG89S7WvO3Sxzvze8C6/dulvFYQsTq5eBk8eFenPIhYS7yBfHs7DeolvHSLBL3p8oY7nszpvHyV4zuqKqo77ZzCO5iHxrsqw5K82CxovEcT2r2cXRs8ehR6PaSzHL2x5KM7rnPPvPFK8rutmgS8sc+XPO9ZIjzE4Mq8FP71vFgJu7zOs8G7dkhOvFmHE7u/TfG8djd5vPSFnLul+aA8bDmPPROYDLwjQ7s78JALPRCoSjtEV9M8HrK4PLtv8DzZ6PI8C1kRvC31oDy7euY7R9RGu9L1CjoYRK88jrQ6Oook8jsXwZm8eyvOOSFEFT3cigw82JIdvACIbbzWBl08DwH0OXb0p7pXHIq7q55LvPSRCb2hk7886xGhPPpXjLyxu9a8Ii1jvdQlUztZrKC83wEivEa4KDqIP3e8nI9kPDtMALwTjLI8e8NcPRyYjbzjfE47n9WuPF8bHDy35rU87kC5uvkoPT0oGOK7DeA7Ow29zTomCq87h7LbvGbdQrs9QtG6OpgwPMOesTnK7gC8OF9XvNky+Lr5RcU8exubvKGf+bqcDqy8DiCYvP9It7z1Ddq7rvohPKs10jxoige7ApPxu9Gjlbz2qIY7RJ4LPWI5jbyWaS88Om0YPJ6ptDsZ7py7j+t1vK35Bj02QK08jDiKPMDgijxd5FC7ir2jPPCA6LxF/oS7N6fIOwnAHj2Jc3k7ZFgCvCfC/Drizhc8LuqfOQxR2bzfwjm9Qs2YO44zvzuYf/o8mz2gu4a+Pbwibu088USAPGCqwryzS+S7Rv9/PK9yTjvMKeK8gWa9PG/NOTxKhzC9Nas/uzWQxbz6Oyc8oCAOvCmvVzgxk4g71UUHPfzAQr3H0gu9ujz7PFBY7jlA0Ny8MCXnO2zjlDz5mBi8AfBGu8IYRzxEXw48DWXJu88rDTxrj7c708dbvXKzMb23D6I7m9NGPGRadLv+Kdm7QfUkO8xF8LpecQ88/bh0O7yjVb2PqsW79GOIvPLeezsRYIW8tWyYu4t6EbxtS9M8X4W8vBtw8jrSexu8BGWNvXFMeDz9HQI8f5/TvBxKIDx9FL48TkzgO0uA4Lyw1qq8vK1IvNSINL3sIBK8isM8u4a2GDz4v8I7rsWrPLMozTlrt5q8Ys1iuxWXs7wMoN08vkFzvCf2cDxHFvM8u++0uviDJr3QB2o8Ujb6PHJZj7uc3PY7JXSDvQpvBryqWQI9ts+GOzt7L7vMVts8EiJkPPDIjrkMHyA9dVSDvKa/W7pDjA48yUmyO/myiztiFJc87Di4PCghGT3HsT+8/TM5vNPYmbyIx567HVdCu69uTDzn6cA87PiWPKuxlztrbWQ8guXlPOmpfLvNsgq8qYGlvPomlTymGzu8fbaivKOyKry7jPI7oQx/PMTYDLcmriW7XmX2O++cYzzryIo8Ts+OPDcX6jzCvU28UUfpvEeZe7yQfsq69vk2PGWN8LuNvTu9TWj5u263pLyu62y5an2qPKGY4bkCjvu8VcXguxfOprxHWhQ9GgwRPW2ALDt8j8o7qTbHPAocaTwoaIy8/HUcPMtp7jtRO2u8FXKZPNGtFruZBaI7sbgSPEG6Kj2bhRY8KtdMvMY+5DsrjGw8omOFvPIhqzwdfX287MuWvJk2IjzepFW9Uu2rO9YZRz3f7RQ8k7lhvNAhwrucLJs8udUlvGNcjzwXGLY8VoV4PF0HCLxBOsy7W0yYutziYjmGKEK7HXWIPH9L7TsMcA29+H6jO4tshruu4TU7eAWGPYFkwjtjZny8rqvsPM0fBjybKdO8KUG6vOjyoLx2aem7yX3FvGjRXbukJ9c8zT2FO2vgA7skoIa7AtT4vOfgr7w1rPO5ITfBvMY4Aj0tnWS8sJabPDrNLbx3I3A8PgelPGIRiLxWj5m8j/ZFvXK/vjvdsTc82AKVu+k7C7xF2UA9H0SUPDeWxjwbUrw8bA0Cu1ioYryOxww8EHxePIjtsrxQEXq8nfHRO4jI4juTDfi88weePN/k8LtzVmi8UGjMPImG8bj712g950v1vGNKMbwE1bY8vd8yPASPpzyqDiW8/TDLOiNPdDwjM9C7QkfePK7FkDwn5D48LJPuO5W85bt+nbW8IgECvZWmIb3hk6q8uZneu3fpG7yZ5+k8kZAvvWZlp7xvBOy61WFhvBpgJTsYADi8GKmyPPyVBD0/3dI8n+a4O+KarztEUly814JZuqcMKD103wi8mjWYPNokiTu7tUG7Ju+WvLWzpbyj4fm7iuwivRtm5Tt5+T48WfoVvYyaiDzLaCW97mmyO7lDSjslSZI6aT0+u7NaCD3KQgq8demJvBk4iLl5gdc77cllvIAdCT1ngG88Vhp8POgGXLwHCAi5FOytPPiVpbwVxWM8U8RruzIr4Lw1VYA6BNsDPeTsrDwNjoq7+QOmPDQl1bt5O4a6OzULvdv7YztRvfK8hWF/PcUO37kDk6I6Od9RvOOk97vclgm7JeA1vfScNbqACro78NJTPBUv+LzaPCS95/IHvPZDlbzSia68AfFfPEn9kbrmVbE8FwYLvGpAlLySevo8KkWHu5j0Pr3IJpm8ceXLPBITTb1aDLK8pA+HPBwaMrzeqI68tRc3PPj1WTw6VIK83cSOvI++kLwpCmc8W12YvAnmsjyJ88888zbRvKKXMLxJO4G8272sPOj0iD0GFmk6MjWZPMbq8Dy0Q5Y7bBVcPPxxuDx+lnk7cYDevHOqCLyRaHq8llIaPDFGjbyiZx67/YNavCKbCz0TglC8Nj3NvJtVyrtnebe8UdFLvEzJKj3m+xo9DPGCu7dJErsVzqq78oasO4lGEbyxgJI7BogGvIWpV7wqELO7eLWfPIDyxzuDr/M8qrsvPboGxDxfHwS9ztDuO7sdnjyzOii9RaqIPC3SJbweJLC8eGSXu0c7YjwHvhi8pUumOps7h7sdxwu8dO2wPKs8RDvT0CM9NyRLu2ZghDyMroc89MisOwwfgLyfkIw7a+RCPQgGMr3qm8q8mrhLvaC96jzxKVS92CCpPA1UPbwWpUq8aC7sOvqzw7vVYdm60/nevL4CpLvi6ZU814GxPPI8jrwVqww9DYANvYDj6jwMbri80kt9O2rxiDzgraS8TFIDu6L3lDsqE8+8BnM8PD8gEzzwOX88RSYPPBbnsrrRc248iZrYuyVzszzJVBk9CkgbPdTzULzsw0Q84v1WPKQgZzzlXUy8JerAOUkP6jxbUpo8LF7nO66BiLtY7hY7WD1xvCVEpzzTnOA4zbYku81CfbwL0is9QrVFPLNDWrwHYaK7jtmRO13OvLrUb6G8RI0jvKsIy7wOrcA7SIDkvH/hBbsEbWA7nnxovNeSdTrRzXc7XIs3OVmfvTzCLHU7U8Nsu1jvnDt/JjW8p91lvJwyzbwF9/C8Eef4vIWMOzmzTg06PJktvNCSy7seVZy8ea5bvBObEDzu65C8W8auPCX8AjyKiLK8GYGMvKXGu7wJpDU9dMHavDzM8LwoNIi8ddj4OxupcjyhXNe7mFu1PFmidzthmSu83f1JOVr/2LxM/xa8AAzaPLgQEbzbCw09hV65vKY/STx2H8s7xNsvPFFKv7up/4G81KLlvA0dAj1TRJM7mckdvZm3KzsQ9du7r6FFuxzOxbtt6VS8Oiy3PKMoIzwMqoO8XxtUu8ey3zxT8IA8DTc/PUUZr7pczSo8mDCXPLZu7jzvpB69TDKPvGaV+TzDgFk8JZr+OjXjhLutZFK8jImtvMOHLrta7XE9cGI7vElPCz0cL/U73HqlPJpmprzdVzQ6V56WOpujJTsHOPI8hwJtu+YeGz3qA7o8U02lvDRZijxyE5O8JFbFPKGJxzylSIs78623vJcwzDzyhKE5sYUGvEHRqzvjTHG8xPvmvHl/aLy0z4U8Z3IVvD6Snjx45Hw8c2OMPO2SXzyv6Qo8FR8evRHVgbwoLUI7JjpXPKYUEb1+e8y8dhlhvCpDVTwa+M06TtGjO8sPhzzNbxA9N/kJvMD5MLxQ8LI8CeW8PLlqBDtBp5M8I7l8vNeT87x3hxe9EWcDO26XnLzzAaK7xWKGPNseubymcxG7BTkqu+ABCz1OH7E7b8lePQo2Hbr6hJg6yJKGOut63jy494G8ZepgugUnbzzF/iu8co1Xu9LOMjkFVwG88DCGuGZifLxVxNG7uy5OPAqMYrwB13Y8pF65PBErIz2qvA885TpBPI4bAzxz0uY8KPUePaEAzLxCQtg7QcWrvKt/KbyO3uI56B4qPEYXlDyDNqw8PnNkuVDGQjziBVM9bicDPdDpjLwAwzE4sR4YOzD4pjy7TaQ6lW9HvHJzkbwwqQK8CqWEvGIzXDy8ebs8VtfRvEVig7xAlwo9khGxuqtxsLvn/U+8rFxvvE9gxztlHVc7lqoYO9o9JbyRfwI99QWavOfzHz1+LxU8KpvAO9MBqju65R693wwLPOEXM70h5/28UJ8jO8tKA7vJBci7Q+uLPKyUozj5H+k8gPuGulpZOztkyNu8AmJMO9hpdryqwEq8ibEZPK0vGjqGaxe88av/vLYvSLtXtba7xArwPL0FvLzXyKO7vielu6ySi7y6ph679zncPGSkZbwXRcM8qSMGvaILhTwqG1e8DfYzuzLvCjrHDQC7HYz4uqxOI7xnCtY8heHCO2K0/bwJPvS8tCS7vKRR2bw+xCA8AI6ZvBxhIb2mgt68bYtcOLLWVrx2yF68vaXAux/kfryuH5C7SL+fu0qXjLzyXwE9fI/XvGgkmzvFqWE7HicLPDcd8jzcshU86M1GPOpwrbwk+l28q5p6vC20PrzlavA7/hgRPDTmd7uBGK28naZ+PJHAXLzv8eO8vYA5PPQX3LyHMAa8EBm8PKipyzyhu2q7ge4QPMG5hDzm1tY71PWYPK8Skjxbeyy8KnAbPRWkHTzy4zY8aB3aPCd10DzFimU8nAHfvN/PhjsUN528I7/1PK2owbtdakC8aG0VPTc8bLwOlQO8RQcvvBxMQ70juVq8bwrHO7msPL0Y0Ac7nY5NvKEEjzzclFo8/ifIvCTIILxhTR87bpgEPN4EDTy+xGG8KeqnvDLfGz3beFI8XA2nvCJg+DzE/JC7lzwMOqruIjzVoGu85zHaPMA2+ryGeYQ7ap44PNS9qLwahQE9j3aQPFZgCLouQUi9FlkhPDisBj08jrS87hOUvBFYVTxHbFW8/hgCPMp7irz9Q5s7vR/hvLUYfTyOzjg88+mmuyzbdbz8oZW7+ZG6vDmxrDwUngU7G2S/vH8Rqru3Vm68dDblvABkzbzcxJC8k0cUPd0+D7wwN1g8YRDAPNB31TxgfFs8nwqXvIHmQjtqQsI8Yp03OzJ+Eb2ndCO8/kAbvTS/8bwhwnG8gHYwPIoLgbzwaWi8WIjzu32OvDybIK48vh87vJcl3DvqB6m8Vj9SPKRTqzzIwNW7r9jIPLnQdbz8kMU8lwZWPRaZd7x+nAI7nZ77u5qKkrvB89W8Kh0DvRX8vbtqjSO8rLB1O6SLLbmFKCG8SKgJPGoaUjzJKes8fLxkvLrpCT29TSA8W3zbOw8Iw7vE1Du9fpHVug8EwTvXCxa9i5F/PNls6boqXXG7zVaTvHV+Dz1vx7u8At9dPJgvKbz2/Iy8PiMTvR+PzrzAb4y8/i9hPI2J37yzggu9vqWWu09CBD0xoxS8XperPHe/Mbst48c6cnFqPBRi9Dx1rqS7QCtZPO9ZubtMhI681KTlO2yXADzGxh28QpaXu8KeRzw4X8+8gWtaOhB96judTNO8dIiBPKp2yrz9Cvk7vICCPDnoQD1wzQY8xlVfPBJjBrwpMjg8OYURvCtnPb3/Gs08+sRSubkL1Lxmu2k88NnHvCp4MrxIY0a7t3ipvHk6tDsI6Z88e5KGOoXIVDyVne48lxcPO2Y6tjuKxsS8broyuzqRVzyuUuM8PJC3vPlM7TzCot48+oc9OvoAn7rIsaS8YJ3+OrVVXD3Nmee74ZjFPGvoPbtifiS8egL5u1zZlTy7i3K8W0JoPMldGL0S6oU6VgUGPJituTy0XHO8dw0mPGTeEbyhlAw8atPwO7dvXDzz+g68CKzvOzmhsbvcTpm8DHtcvEkkuTyQCT88U1viPA2TkbvAVEy8UNLAvC8y/ztICMI7y9Z+uyuYjLxtfMi8FMfDu+uJCz3ESkc91lYtvM1oiDxW8ui5NAiPvEtKOz29nsW8p1lvPK89qTyoQuK8ufESvJu4KbykM9c8zaqhvE6I9bs3HrM8pQ2BPO0dMTsIjvO8UfoNPQULF7ovQQ28FQeounpeZjsC+Ui7Ya26vPD/gzykjSI9t0aRu02AITxUVrw85davu4Pp7zyHAce874MLuwuM1Dtngr28I8uRvBUzlLxwkPc893kNvGPJETwCsqo77pWxu+IiizyVE4c8qyAUPFrWErz1ul+7QBY3POwdvTygc2Q89AsbPRYnCzzeqPw8qrtNPJr18DzfT+y6po4JPAodAzyOorS7n/+Ou3zioTz6Sym8+OczPF8yEjwWXqG8+oK4OwGstTthDy+8z9iBPIW8PDzdnHs8Zm0qveY6Y7xqBsg8bdQSvFmlE7ukO4o7Ua8VPam4ubw1wIO71GcoPFH7vbzeqZK8bofZPGJRiznX2Su9dAKovCH5K7zxj+k88QQGvEi3xzpHAwY9mXTsu0KRFT0h0cu7Db9WuwL72TzehAG8c6TBvDCllzwysZy78PApPI4WnjtVTda80lupPA4dMjxPMU69j03bvOk8VryJW6g6S1mLOws+IzyW6LI6QgO7vJrhkzwLtJY8yJKBvFbq0brGnfQ7cvNJO4KPojzoGyU9DjWjvEZgOzwnb0+6LdDjuumifTy2GnI8TWPVPFeNnjyJINC8JEbnuxMMuzxWBQi9/2VovJRukryKS5W8PVMxvDcuJ7yAnTy8wFLtuhKDhjxxXAo79Ak9vJ3wdzsyjAE8kuWAPHpEqjsL01k7aC88PPcFr7sqhZY8j1FUvWTokryek/m8WhHFPEjLvbsPyA080nGMvDNs+rt/6P+70azMuxqjzLycpA+9UaILvLShpjpSyAi9w7EGPYeeFrs02gK8L7qlO9LgBT0jLdE71vfgPIeOojxaJ4Y8TBq0u4h+MD0l0o68rClRvJwq37v0g9K7DF+yvMKQwzw6KIQ8+3k4PBq94Lwr4/M8aqGyO6Qk9bupKla8waOEPD8TvbsKd/68HvUivLWZ3zyJo7U6vxfSPM/BhbzLm388lZNUvKP0Z7xG6We8h5iVuK8bAj2C5QI93X2AvFYd0rxy87k8G0ucvMsPTbvrHKY8yy6WvENKiTwEAeo72F0+PcQMFTx5fNk7hfT8O1l9ADzxPW27U5OhvP4VFryTDc08dxiwvDiICr0tMhU8SO+oO5xT37v5qis7dR/lvDYjwzxe3xm9/dIYvdh70zw19ja8InsUO+wOB70p3Qm8TzlvvK1xDbzGvdY7w83QvD5D/jxeudC8VWE2PKC0yrzhUL07jFoTvP5Oyjuhh7a5U90YvVk5abzHdEw7ajKmO6r2nrwgs5C8+1kovB/gBD0VNm88b0w0PAGvojy/JL+7hvLSOrVesTwevb24nU/TPDQdzzu307O8K5t1vFIr6Dwp1EK94kM0vFR1gTyFN8y8n82IPOh/DDvE3Cg8DADUPNhlCzzIlQG8h45aPCGeyLugT7w8AvGIPOz89Tt//H28cvruPP3pcTyzfBi8gQeYvOEWIj2E6LS6ExVDvOQ1vTyta6e7UAzIPBVi8zx6cQO8M9IEOxEL1bv2w9K8QcUUvRgpmLoFZAg84gKaPGuwTrznz5G846PuvFlvrTyaCkQ7GUeGPCbRFLy+E/28S08jvVOI1TzvjBI6Vd+aPC6srLk1x507vwjoOy2Fgjwp4RQ9UDoJPIr0QDwtbBE9hWGIvOIrvDs/BwG8RnKKPLEYj7wp4Vc83QjCO5Ce2jziqxK8TJCAPEYxeTzleNk7GVwLuyBLpLiyiJu7Hff+PK21sLvKH186uFPKPJbTA73Ji266saYDu6WggLxZYWi77yOLvHPIH705YRm7gRsCOzGHPLld2z88CVIXOtJTrbxyNjw7T1P+u1dbPzwvbVW8BxAbvZnf7LuMYKQ7kH2eO7u+8TxBJq+8XYzQPCnZgrwDfOw7Y7ccPKI0Fzw43gO7zFnUPC081jwe2jq866vtu7OE/DuUo2m9ukzOPF1SpDyTTWS7taZFPJ+5VTx0LEm7VOjzvPgbgby0kOS85S+dPKjAu7wRDyG96G5XvIYYrTy9+zg9rJn+OcNvED2kWtA8lZtZvE/SVjpvP6S8GkNNPD7M/jswYKg7yjCOPL+6uryEz+S8VuTvvCpvI719cou8r7jGvMmyFb0+y7Q6jFsOPPrQjDtYR7u71pI3PInPFbuSecC8FaypOkokDTySXA07esulOxqsVjuTyRC8HdedvNiIYTsHaz68feqjvEnnEbwKnbY72bZfu8S70js2NgU9PZ/aOxUYYDzRNkK9Q8sqvGkiDD3Qaxq8kK2EuqyZOjzzqE+7WsrgPG7XUbwndIW8uihpPNLqu7vVHfc8n2Z0PJz4sbzBh5y83GOmvEMVLLz4msS8NYEevePkFD0Zl447otQHvcp/UDz7JqG7gGUNPAcyujwKBTK9dhCtvDwRJzo3pIY6gFIwPF+ygjpvycs7u9gavaqS/DuEWxa9hWkevHKZEbyXlPA8O2rtO42QprzqhBq983l0PCGBTrxdRi+8u+8YOniv/DscfI284KAcvWa/JzwA7Ik74b/mu7dLrrwo7RG8baWuuxVFsDxXf6I8zNb/PCHdJD1afwE8PKfIu6plRrzEutq6mBGqPOOyvjxk7/A6CZAEPO6iZrxm5D67NccWPaPNQrvQHE882pNSOzEVq7z1TJE6+F5yu4IGwDu/AcI7u3IXvbzwnLvoB2O6n96ROT7qkDyIDCW8ogBwPAodtry6SZM8hxsXPZV7wTuMl028VTCNu9CQALy/Jd68BW7Lu1p97bm5+hc9J+MZvLhkOTwH5oi8WtHZPAMNljtMw8w7cWEOOt6U/Tqa0YW8XD2LORAPEzy3U008CltcvLhmIjyaiuY8q1SCu58akDs9boe8l2oXPZU20rvaAY+8AutfPF6hHb3/tss8FCKWPJyVd7u9g4U8WdewPGJoYLzz40c8fpqou/7drTwfu8+8gw5mvFYstLwmSQu8uYq/vIpDhboMhCC8pXFeu0rWGjxvtC68OOWgvKH6qTuISg+83uNSu1XWojzt1EO76+U0O77tvrzrz+s7tTErOwayUrzw3rG89ZQcPIfXhz1KP0w9wjqaPC4RP7wWXyY9b9ievPB2wzuC2la74khTPN5DLbsGAS+9tcCMPEk7Db0AIa478I+ivAWZ9TwKtFC8AfiDugTcLT1Dzsq88+vYvDkZjLzBSpC83jsAPFXmPb25M+s8wVsHvK2gmzuxTRA98dQ/vCNUXbrHakY84e4TPTG++LvUmAk9B4bkO3hm+Ls34mI7pxfAu+DFCT17F/k72ZlUO965+7obGCU8oRY1vBctFTxY+0I9LkYSPYGrlLy/7e+7/xHovNx++jyeMry8PSVUPHvvb71rHsK7yfuku035S7yzmL27diigu0+SAbz+VLc83aUPvUpFxLzp4bG8P+XYPELxszwq+2081vCsvGY48jzVfow8OlLyOwgxsztYIzW8rJEqPYmiqjy0y+271nKVO4GUQjz+HiI7MvuXuw/Aobw1ZXy8IlzMvPTrHbyrT788K7mEPEkZyzxr7dG5Kq0aPGDbCjyJiIK8aMYDPX+xMTyA9Z48RnRgu5r3urxFbhi9ZajmussI7ruLTea7Wz3vOSQvVbwc0sY8P9zOOrrzTDyEmgs9fZy5vC6zgTxfHTg8vqybvDeGqbus7sw7sfEFPOlQhjuaCbQ8tR2GPMsSqDwFqhm9MmtAvFcaVb1M9dQ8ozh2uxFj2Dtm8aY8xLc/uywkiLyL2CY87zxtu7NUczyV9X08H56LvOzKOrxeqfO73EQRO6tIELxW73a8f5l7vEpQXTwNAUc5P3TyugnqXjuz3Se9f0sBvZueKrygdqu8NHvgvDpexzxQ/ME8Lx+LvJgCEzw+Q2A7pBWiu6OwkTtcf568DLWRu62hpLvfEYm8Sn4gvJ6Hc7yRyp+8xuh2PDYZgrx29Ym8HuE5O59skTwcDoC76lKuu36OmjwSinM834ZgPOSgE7x4Qwu9F8YpvKDeMDzcY+q7hUCnPJP4KbySvHs7/QekPOtJRrwLN+O6pNZtvKTYRTyLI128eAnfO41JB72rzMU8W2iEPBOIkTuHlxo8n9NTvFi1zzuE9z48yDq8PDwPjDxlOC85dCkOvduXLLsrW9m8I7TyO43ydDsZ3HU6DhMYOnePxTskbx49nUgQPdo0ZzyxP2Q89ok2vG2MUTyFTRu7eMoQPW8JkroRzpg8dIFju33qGb3HOwW83x/tvIK0x7mggYa7WpsGPLphfDy+86q8nk+2vAX5Ebtslai8dk9tvJh4Jj11Usk7mlXevBDOkrir1kK8UAtKOw7HBLxff5k7H9gZvGkIE71Z4L682QwHve68xTzd3jW7NyjIO+XMabx/wNE8unvYvFtKBrzqPoW8Ub6ePGGnvrw3WZG7nwuuPCJSPTt0Ipe8Yq9AO0nUQzuvTMI89jbxO0EhpjxMRgo6LiyWOy8YrzwAbyi7wimdu3SgKzwNHk27SVLLPJVluLzccqs8/zMBvJWWCD3gaIM7yHoQOzZts7wI5pk8cSTGPBkkjbuG9re7gfsOu9nuhzvW0N67I55svNYnhzzIXjQ9++i0PO2CQbxkf7e8xo5FPE7Ftjw1iJu8xrvSPF7PvjwAKaS82MpRO5zTTLxjUOc7+tsGuwiZ+bwCaKo8uTy5u9Ds4bwr6r28mFkEu4mBQ7uD2rs8IN5+PHCqyjzdz2S8Lq1OPPRpEjyFpCq8NmFCPG73QTysmeE7hBJPPPP+rTz2SEA7j4DJvE2tBrzmjr28UncAPOP7K7zJmXG8Q3GQPPFZN7wMDtk7uHWuO4NOmDyqE5m6w8tYvJiYT7w522K8fUzQO2jGMLubE/k8wUSBvBaGPDv5ZbS8o9SSPDna8ztZjLE7f6OUPCiSgTzm8K+8WTy9u8j7yzyIa1O8upY6PJsE4jvupXs8JHrwu0kfFr2nKwi8c6+NusC/ZTwu9xM9gGcOPNIg5bu8Py487WJrvHcBSbwnMbg7FYFuvPJQnrzhEg65teCHPIPKiDyx4RE8B2xQPFZYPbyi4lu76wEBOw==
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 3
+        total_tokens: 3
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/tests/cassettes/test_sandbox/test_get_document.yaml b/tests/cassettes/test_sandbox/test_get_document.yaml
new file mode 100644
index 00000000..b1ded61e
--- /dev/null
+++ b/tests/cassettes/test_sandbox/test_get_document.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '99'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - Content about foxes and dogs.
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: 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
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 8
+        total_tokens: 8
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/tests/cassettes/test_sandbox/test_list_documents_with_data.yaml b/tests/cassettes/test_sandbox/test_list_documents_with_data.yaml
new file mode 100644
index 00000000..b6252ae6
--- /dev/null
+++ b/tests/cassettes/test_sandbox/test_list_documents_with_data.yaml
@@ -0,0 +1,42 @@
+interactions:
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '82'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - Test content
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: 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
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 3
+        total_tokens: 3
+    status:
+      code: 200
+      message: OK
+version: 1