diff --git a/packages/exchange/tests/providers/cassettes/test_azure_complete.yaml b/packages/exchange/tests/providers/cassettes/test_azure_complete.yaml
index 3ac8a4fc0..8d7a34239 100644
--- a/packages/exchange/tests/providers/cassettes/test_azure_complete.yaml
+++ b/packages/exchange/tests/providers/cassettes/test_azure_complete.yaml
@@ -1,7 +1,19 @@
 interactions:
 - request:
-    body: '{"messages": [{"role": "system", "content": "You are a helpful assistant."},
-      {"role": "user", "content": "Hello"}], "model": "gpt-4o-mini"}'
+    body: |-
+      {
+        "messages": [
+          {
+            "role": "system",
+            "content": "You are a helpful assistant."
+          },
+          {
+            "role": "user",
+            "content": "Hello"
+          }
+        ],
+        "model": "gpt-4o-mini"
+      }
     headers:
       accept:
       - '*/*'
@@ -23,35 +35,94 @@ interactions:
     uri: https://test.openai.azure.com/openai/deployments/test-azure-deployment/chat/completions?api-version=2024-05-01-preview
   response:
     body:
-      string: '{"choices":[{"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}},"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"Hello!
-        How can I assist you today?","role":"assistant"}}],"created":1727230065,"id":"chatcmpl-ABBjN3AoYlxkP7Vg2lBvUhYeA6j5K","model":"gpt-4-32k","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":null,"usage":{"completion_tokens":9,"prompt_tokens":18,"total_tokens":27}}
-
-        '
+      string: |-
+        {
+          "choices": [
+            {
+              "content_filter_results": {
+                "hate": {
+                  "filtered": false,
+                  "severity": "safe"
+                },
+                "self_harm": {
+                  "filtered": false,
+                  "severity": "safe"
+                },
+                "sexual": {
+                  "filtered": false,
+                  "severity": "safe"
+                },
+                "violence": {
+                  "filtered": false,
+                  "severity": "safe"
+                }
+              },
+              "finish_reason": "stop",
+              "index": 0,
+              "logprobs": null,
+              "message": {
+                "content": "Hello! How can I assist you today?\n",
+                "role": "assistant"
+              }
+            }
+          ],
+          "created": 1728788170,
+          "id": "chatcmpl-AHj469gGa9bQaCSikrZYDejfGDx2x",
+          "model": "gpt-4-32k",
+          "object": "chat.completion",
+          "prompt_filter_results": [
+            {
+              "prompt_index": 0,
+              "content_filter_results": {
+                "hate": {
+                  "filtered": false,
+                  "severity": "safe"
+                },
+                "self_harm": {
+                  "filtered": false,
+                  "severity": "safe"
+                },
+                "sexual": {
+                  "filtered": false,
+                  "severity": "safe"
+                },
+                "violence": {
+                  "filtered": false,
+                  "severity": "safe"
+                }
+              }
+            }
+          ],
+          "system_fingerprint": null,
+          "usage": {
+            "completion_tokens": 9,
+            "prompt_tokens": 18,
+            "total_tokens": 27
+          }
+        }
     headers:
       Cache-Control:
       - no-cache, must-revalidate
       Content-Length:
-      - '825'
+      - '827'
       Content-Type:
       - application/json
       Date:
-      - Wed, 25 Sep 2024 02:07:45 GMT
-      Set-Cookie: test_set_cookie
+      - Sun, 13 Oct 2024 02:56:10 GMT
       Strict-Transport-Security:
       - max-age=31536000; includeSubDomains; preload
       access-control-allow-origin:
       - '*'
       apim-request-id:
-      - 82e66ef8-ac07-4a43-b60f-9aecec1d8c81
+      - b203f657-e7aa-40ea-8969-ba0b83dae854
       azureml-model-session:
-      - d145-20240919052126
-      openai-organization: test_openai_org_key
+      - d156-20241010120317
       x-accel-buffering:
       - 'no'
       x-content-type-options:
       - nosniff
       x-ms-client-request-id:
-      - 82e66ef8-ac07-4a43-b60f-9aecec1d8c81
+      - b203f657-e7aa-40ea-8969-ba0b83dae854
       x-ms-rai-invoked:
       - 'true'
       x-ms-region:
@@ -61,7 +132,7 @@ interactions:
       x-ratelimit-remaining-tokens:
       - '79984'
       x-request-id:
-      - 38db9001-8b16-4efe-84c9-620e10f18c3c
+      - 0c6dc92f-a017-4879-b82e-be937533c76e
     status:
       code: 200
       message: OK
diff --git a/packages/exchange/tests/providers/cassettes/test_azure_tools.yaml b/packages/exchange/tests/providers/cassettes/test_azure_tools.yaml
index 9da479790..240b83bf4 100644
--- a/packages/exchange/tests/providers/cassettes/test_azure_tools.yaml
+++ b/packages/exchange/tests/providers/cassettes/test_azure_tools.yaml
@@ -1,13 +1,40 @@
 interactions:
 - request:
-    body: '{"messages": [{"role": "system", "content": "You are a helpful assistant.
-      Expect to need to read a file using read_file."}, {"role": "user", "content":
-      "What are the contents of this file? test.txt"}], "model": "gpt-4o-mini", "tools":
-      [{"type": "function", "function": {"name": "read_file", "description": "Read
-      the contents of the file.", "parameters": {"type": "object", "properties": {"filename":
-      {"type": "string", "description": "The path to the file, which can be relative
-      or\nabsolute. If it is a plain filename, it is assumed to be in the\ncurrent
-      working directory."}}, "required": ["filename"]}}}]}'
+    body: |-
+      {
+        "messages": [
+          {
+            "role": "system",
+            "content": "You are a helpful assistant. Expect to need to read a file using read_file."
+          },
+          {
+            "role": "user",
+            "content": "What are the contents of this file? test.txt"
+          }
+        ],
+        "model": "gpt-4o-mini",
+        "tools": [
+          {
+            "type": "function",
+            "function": {
+              "name": "read_file",
+              "description": "Read the contents of the file.",
+              "parameters": {
+                "type": "object",
+                "properties": {
+                  "filename": {
+                    "type": "string",
+                    "description": "The path to the file, which can be relative or\nabsolute. If it is a plain filename, it is assumed to be in the\ncurrent working directory."
+                  }
+                },
+                "required": [
+                  "filename"
+                ]
+              }
+            }
+          }
+        ]
+      }
     headers:
       accept:
       - '*/*'
@@ -29,10 +56,64 @@ interactions:
     uri: https://test.openai.azure.com/openai/deployments/test-azure-deployment/chat/completions?api-version=2024-05-01-preview
   response:
     body:
-      string: '{"choices":[{"content_filter_results":{},"finish_reason":"tool_calls","index":0,"logprobs":null,"message":{"content":null,"role":"assistant","tool_calls":[{"function":{"arguments":"{\n  \"filename\":
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-
-        '
+      string: |-
+        {
+          "choices": [
+            {
+              "content_filter_results": {},
+              "finish_reason": "tool_calls",
+              "index": 0,
+              "logprobs": null,
+              "message": {
+                "content": null,
+                "role": "assistant",
+                "tool_calls": [
+                  {
+                    "function": {
+                      "arguments": "{\n  \"filename\": \"test.txt\"\n}",
+                      "name": "read_file"
+                    },
+                    "id": "call_Dn0idyNSdmHSYpsql3EbFH9L",
+                    "type": "function"
+                  }
+                ]
+              }
+            }
+          ],
+          "created": 1728788173,
+          "id": "chatcmpl-AHj498XEBkixukw2lwNReXCIBStp0",
+          "model": "gpt-4-32k",
+          "object": "chat.completion",
+          "prompt_filter_results": [
+            {
+              "prompt_index": 0,
+              "content_filter_results": {
+                "hate": {
+                  "filtered": false,
+                  "severity": "safe"
+                },
+                "self_harm": {
+                  "filtered": false,
+                  "severity": "safe"
+                },
+                "sexual": {
+                  "filtered": false,
+                  "severity": "safe"
+                },
+                "violence": {
+                  "filtered": false,
+                  "severity": "safe"
+                }
+              }
+            }
+          ],
+          "system_fingerprint": null,
+          "usage": {
+            "completion_tokens": 16,
+            "prompt_tokens": 109,
+            "total_tokens": 125
+          }
+        }
     headers:
       Cache-Control:
       - no-cache, must-revalidate
@@ -41,33 +122,31 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Wed, 25 Sep 2024 09:30:50 GMT
-      Set-Cookie: test_set_cookie
+      - Sun, 13 Oct 2024 02:56:14 GMT
       Strict-Transport-Security:
       - max-age=31536000; includeSubDomains; preload
       access-control-allow-origin:
       - '*'
       apim-request-id:
-      - 8c0e3372-8ffd-4ff5-a5d1-0b962c4ea339
+      - 0e0af575-5634-415c-88e3-a7bf68549ee5
       azureml-model-session:
-      - d145-20240919052126
-      openai-organization: test_openai_org_key
+      - d159-20241010142543
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       - 'no'
       x-content-type-options:
       - nosniff
       x-ms-client-request-id:
-      - 8c0e3372-8ffd-4ff5-a5d1-0b962c4ea339
+      - 0e0af575-5634-415c-88e3-a7bf68549ee5
       x-ms-rai-invoked:
       - 'true'
       x-ms-region:
       - Switzerland North
       x-ratelimit-remaining-requests:
-      - '79'
+      - '77'
       x-ratelimit-remaining-tokens:
-      - '79824'
+      - '79952'
       x-request-id:
-      - 401bd803-b790-47b7-b098-98708d44f060
+      - e5012889-ef86-449a-908c-2065dbf0954e
     status:
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       message: OK
diff --git a/packages/exchange/tests/providers/cassettes/test_google_complete.yaml b/packages/exchange/tests/providers/cassettes/test_google_complete.yaml
index 56ec57618..ec01cc8e0 100644
--- a/packages/exchange/tests/providers/cassettes/test_google_complete.yaml
+++ b/packages/exchange/tests/providers/cassettes/test_google_complete.yaml
@@ -1,7 +1,25 @@
 interactions:
 - request:
-    body: '{"system_instruction": {"parts": [{"text": "You are a helpful assistant."}]},
-      "contents": [{"role": "user", "parts": [{"text": "Hello"}]}]}'
+    body: |-
+      {
+        "system_instruction": {
+          "parts": [
+            {
+              "text": "You are a helpful assistant."
+            }
+          ]
+        },
+        "contents": [
+          {
+            "role": "user",
+            "parts": [
+              {
+                "text": "Hello"
+              }
+            ]
+          }
+        ]
+      }
     headers:
       accept:
       - '*/*'
@@ -21,18 +39,46 @@ interactions:
     uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=test_google_api_key
   response:
     body:
-      string: "{\n  \"candidates\": [\n    {\n      \"content\": {\n        \"parts\":
-        [\n          {\n            \"text\": \"Hello! \U0001F44B  How can I help
-        you today? \U0001F60A \\n\"\n          }\n        ],\n        \"role\": \"model\"\n
-        \     },\n      \"finishReason\": \"STOP\",\n      \"index\": 0,\n      \"safetyRatings\":
-        [\n        {\n          \"category\": \"HARM_CATEGORY_SEXUALLY_EXPLICIT\",\n
-        \         \"probability\": \"NEGLIGIBLE\"\n        },\n        {\n          \"category\":
-        \"HARM_CATEGORY_HATE_SPEECH\",\n          \"probability\": \"NEGLIGIBLE\"\n
-        \       },\n        {\n          \"category\": \"HARM_CATEGORY_HARASSMENT\",\n
-        \         \"probability\": \"NEGLIGIBLE\"\n        },\n        {\n          \"category\":
-        \"HARM_CATEGORY_DANGEROUS_CONTENT\",\n          \"probability\": \"NEGLIGIBLE\"\n
-        \       }\n      ]\n    }\n  ],\n  \"usageMetadata\": {\n    \"promptTokenCount\":
-        8,\n    \"candidatesTokenCount\": 12,\n    \"totalTokenCount\": 20\n  }\n}\n"
+      string: |-
+        {
+          "candidates": [
+            {
+              "content": {
+                "parts": [
+                  {
+                    "text": "Hello! \ud83d\udc4b  What can I do for you today? \ud83d\ude0a \n"
+                  }
+                ],
+                "role": "model"
+              },
+              "finishReason": "STOP",
+              "index": 0,
+              "safetyRatings": [
+                {
+                  "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+                  "probability": "NEGLIGIBLE"
+                },
+                {
+                  "category": "HARM_CATEGORY_HATE_SPEECH",
+                  "probability": "NEGLIGIBLE"
+                },
+                {
+                  "category": "HARM_CATEGORY_HARASSMENT",
+                  "probability": "NEGLIGIBLE"
+                },
+                {
+                  "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+                  "probability": "NEGLIGIBLE"
+                }
+              ]
+            }
+          ],
+          "usageMetadata": {
+            "promptTokenCount": 8,
+            "candidatesTokenCount": 13,
+            "totalTokenCount": 21
+          }
+        }
     headers:
       Alt-Svc:
       - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
@@ -41,11 +87,11 @@ interactions:
       Content-Type:
       - application/json; charset=UTF-8
       Date:
-      - Wed, 02 Oct 2024 01:06:50 GMT
+      - Sun, 13 Oct 2024 02:54:58 GMT
       Server:
       - scaffolding on HTTPServer2
       Server-Timing:
-      - gfet4t7; dur=426
+      - gfet4t7; dur=1201
       Transfer-Encoding:
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       Vary:
@@ -59,7 +105,7 @@ interactions:
       X-XSS-Protection:
       - '0'
       content-length:
-      - '855'
+      - '858'
     status:
       code: 200
       message: OK
diff --git a/packages/exchange/tests/providers/cassettes/test_google_tools.yaml b/packages/exchange/tests/providers/cassettes/test_google_tools.yaml
index f742f784c..c50e86810 100644
--- a/packages/exchange/tests/providers/cassettes/test_google_tools.yaml
+++ b/packages/exchange/tests/providers/cassettes/test_google_tools.yaml
@@ -1,13 +1,45 @@
 interactions:
 - request:
-    body: '{"system_instruction": {"parts": [{"text": "You are a helpful assistant.
-      Expect to need to read a file using read_file."}]}, "contents": [{"role": "user",
-      "parts": [{"text": "What are the contents of this file? test.txt"}]}], "tools":
-      {"functionDeclarations": [{"name": "read_file", "description": "Read the contents
-      of the file.", "parameters": {"type": "object", "properties": {"filename": {"type":
-      "string", "description": "The path to the file, which can be relative or\nabsolute.
-      If it is a plain filename, it is assumed to be in the\ncurrent working directory."}},
-      "required": ["filename"]}}]}}'
+    body: |-
+      {
+        "system_instruction": {
+          "parts": [
+            {
+              "text": "You are a helpful assistant. Expect to need to read a file using read_file."
+            }
+          ]
+        },
+        "contents": [
+          {
+            "role": "user",
+            "parts": [
+              {
+                "text": "What are the contents of this file? test.txt"
+              }
+            ]
+          }
+        ],
+        "tools": {
+          "functionDeclarations": [
+            {
+              "name": "read_file",
+              "description": "Read the contents of the file.",
+              "parameters": {
+                "type": "object",
+                "properties": {
+                  "filename": {
+                    "type": "string",
+                    "description": "The path to the file, which can be relative or\nabsolute. If it is a plain filename, it is assumed to be in the\ncurrent working directory."
+                  }
+                },
+                "required": [
+                  "filename"
+                ]
+              }
+            }
+          ]
+        }
+      }
     headers:
       accept:
       - '*/*'
@@ -27,19 +59,51 @@ interactions:
     uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=test_google_api_key
   response:
     body:
-      string: "{\n  \"candidates\": [\n    {\n      \"content\": {\n        \"parts\":
-        [\n          {\n            \"functionCall\": {\n              \"name\": \"read_file\",\n
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-        \           }\n          }\n        ],\n        \"role\": \"model\"\n      },\n
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-        \       },\n        {\n          \"category\": \"HARM_CATEGORY_HARASSMENT\",\n
-        \         \"probability\": \"NEGLIGIBLE\"\n        },\n        {\n          \"category\":
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-        \       }\n      ]\n    }\n  ],\n  \"usageMetadata\": {\n    \"promptTokenCount\":
-        101,\n    \"candidatesTokenCount\": 17,\n    \"totalTokenCount\": 118\n  }\n}\n"
+      string: |-
+        {
+          "candidates": [
+            {
+              "content": {
+                "parts": [
+                  {
+                    "functionCall": {
+                      "name": "read_file",
+                      "args": {
+                        "filename": "test.txt"
+                      }
+                    }
+                  }
+                ],
+                "role": "model"
+              },
+              "finishReason": "STOP",
+              "index": 0,
+              "safetyRatings": [
+                {
+                  "category": "HARM_CATEGORY_HATE_SPEECH",
+                  "probability": "NEGLIGIBLE"
+                },
+                {
+                  "category": "HARM_CATEGORY_HARASSMENT",
+                  "probability": "NEGLIGIBLE"
+                },
+                {
+                  "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+                  "probability": "NEGLIGIBLE"
+                },
+                {
+                  "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+                  "probability": "NEGLIGIBLE"
+                }
+              ]
+            }
+          ],
+          "usageMetadata": {
+            "promptTokenCount": 101,
+            "candidatesTokenCount": 17,
+            "totalTokenCount": 118
+          }
+        }
     headers:
       Alt-Svc:
       - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
@@ -48,7 +112,7 @@ interactions:
       Content-Type:
       - application/json; charset=UTF-8
       Date:
-      - Wed, 02 Oct 2024 01:06:51 GMT
+      - Sun, 13 Oct 2024 02:54:59 GMT
       Server:
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diff --git a/packages/exchange/tests/providers/cassettes/test_ollama_complete.yaml b/packages/exchange/tests/providers/cassettes/test_ollama_complete.yaml
index 88bc206ff..84afcbe99 100644
--- a/packages/exchange/tests/providers/cassettes/test_ollama_complete.yaml
+++ b/packages/exchange/tests/providers/cassettes/test_ollama_complete.yaml
@@ -23,15 +23,25 @@ interactions:
       Content-Type:
       - text/plain; charset=utf-8
       Date:
-      - Sun, 22 Sep 2024 23:40:13 GMT
-      Set-Cookie: test_set_cookie
-      openai-organization: test_openai_org_key
+      - Sun, 13 Oct 2024 04:53:22 GMT
     status:
       code: 200
       message: OK
 - request:
-    body: '{"messages": [{"role": "system", "content": "You are a helpful assistant."},
-      {"role": "user", "content": "Hello"}], "model": "mistral-nemo"}'
+    body: |-
+      {
+        "messages": [
+          {
+            "role": "system",
+            "content": "You are a helpful assistant."
+          },
+          {
+            "role": "user",
+            "content": "Hello"
+          }
+        ],
+        "model": "mistral-nemo"
+      }
     headers:
       accept:
       - '*/*'
@@ -51,17 +61,36 @@ interactions:
     uri: http://localhost:11434/v1/chat/completions
   response:
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+      string: |-
+        {
+          "id": "chatcmpl-565",
+          "object": "chat.completion",
+          "created": 1728795204,
+          "model": "mistral-nemo",
+          "system_fingerprint": "fp_ollama",
+          "choices": [
+            {
+              "index": 0,
+              "message": {
+                "role": "assistant",
+                "content": "Hello! I'm here to help. How can I assist you today? \ud83d\ude0a"
+              },
+              "finish_reason": "stop"
+            }
+          ],
+          "usage": {
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+            "completion_tokens": 19,
+            "total_tokens": 29
+          }
+        }
     headers:
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-      - '356'
+      - '344'
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       Date:
-      - Sun, 22 Sep 2024 23:40:16 GMT
-      Set-Cookie: test_set_cookie
-      openai-organization: test_openai_org_key
+      - Sun, 13 Oct 2024 04:53:24 GMT
     status:
       code: 200
       message: OK
diff --git a/packages/exchange/tests/providers/cassettes/test_ollama_tools.yaml b/packages/exchange/tests/providers/cassettes/test_ollama_tools.yaml
index 7271bf227..d803153b8 100644
--- a/packages/exchange/tests/providers/cassettes/test_ollama_tools.yaml
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index 1a92eb36b..6de10fb5d 100644
--- a/packages/exchange/tests/providers/cassettes/test_openai_complete.yaml
+++ b/packages/exchange/tests/providers/cassettes/test_openai_complete.yaml
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"}}]}],
-      "model": "gpt-4o-mini"}'
+    body: |-
+      {
+        "messages": [
+          {
+            "role": "system",
+            "content": "You are a helpful assistant."
+          },
+          {
+            "role": "user",
+            "content": "What does the first entry in the menu say?"
+          },
+          {
+            "role": "assistant",
+            "tool_calls": [
+              {
+                "id": "xyz",
+                "type": "function",
+                "function": {
+                  "name": "screenshot",
+                  "arguments": "{}"
+                }
+              }
+            ]
+          },
+          {
+            "role": "tool",
+            "content": [
+              {
+                "type": "text",
+                "text": "This tool result included an image that is uploaded in the next message."
+              }
+            ],
+            "tool_call_id": "xyz"
+          },
+          {
+            "role": "user",
+            "content": [
+              {
+                "type": "image_url",
+                "image_url": {
+                  "url": 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"
+                }
+              }
+            ]
+          }
+        ],
+        "model": "gpt-4o-mini"
+      }
     headers:
       accept:
       - '*/*'
@@ -29,25 +69,48 @@ interactions:
     uri: https://api.openai.com/v1/chat/completions
   response:
     body:
-      string: "{\n  \"id\": \"chatcmpl-ABIA0YzOHlhqb02K8Ay4Jwsw6xOpk\",\n  \"object\":
-        \"chat.completion\",\n  \"created\": 1727254780,\n  \"model\": \"gpt-4o-mini-2024-07-18\",\n
-        \ \"choices\": [\n    {\n      \"index\": 0,\n      \"message\": {\n        \"role\":
-        \"assistant\",\n        \"content\": \"The first entry in the menu says \\\"Ask
-        Goose.\\\"\",\n        \"refusal\": null\n      },\n      \"logprobs\": null,\n
-        \     \"finish_reason\": \"stop\"\n    }\n  ],\n  \"usage\": {\n    \"prompt_tokens\":
-        14230,\n    \"completion_tokens\": 11,\n    \"total_tokens\": 14241,\n    \"completion_tokens_details\":
-        {\n      \"reasoning_tokens\": 0\n    }\n  },\n  \"system_fingerprint\": \"fp_e9627b5346\"\n}\n"
+      string: |-
+        {
+          "id": "chatcmpl-AHj1wBv5ZKIB2nh2p8PWvLZ3QEXLH",
+          "object": "chat.completion",
+          "created": 1728788036,
+          "model": "gpt-4o-mini-2024-07-18",
+          "choices": [
+            {
+              "index": 0,
+              "message": {
+                "role": "assistant",
+                "content": "The first entry in the menu says \"Ask Goose.\"",
+                "refusal": null
+              },
+              "logprobs": null,
+              "finish_reason": "stop"
+            }
+          ],
+          "usage": {
+            "prompt_tokens": 14230,
+            "completion_tokens": 11,
+            "total_tokens": 14241,
+            "prompt_tokens_details": {
+              "cached_tokens": 0
+            },
+            "completion_tokens_details": {
+              "reasoning_tokens": 0
+            }
+          },
+          "system_fingerprint": "fp_8552ec53e1"
+        }
     headers:
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 8c89d1c45d98a883-SYD
+      - 8d1c0abdef9701f2-SIN
       Connection:
       - keep-alive
       Content-Type:
       - application/json
       Date:
-      - Wed, 25 Sep 2024 08:59:41 GMT
+      - Sun, 13 Oct 2024 02:53:57 GMT
       Server:
       - cloudflare
       Set-Cookie: test_set_cookie
@@ -57,11 +120,13 @@ interactions:
       - nosniff
       access-control-expose-headers:
       - X-Request-ID
+      alt-svc:
+      - h3=":443"; ma=86400
       content-length:
-      - '613'
+      - '676'
       openai-organization: test_openai_org_key
       openai-processing-ms:
-      - '1289'
+      - '1966'
       openai-version:
       - '2020-10-01'
       strict-transport-security:
@@ -71,15 +136,15 @@ interactions:
       x-ratelimit-limit-tokens:
       - '200000'
       x-ratelimit-remaining-requests:
-      - '9999'
+      - '9995'
       x-ratelimit-remaining-tokens:
       - '199177'
       x-ratelimit-reset-requests:
-      - 8.64s
+      - 37.664s
       x-ratelimit-reset-tokens:
       - 246ms
       x-request-id:
-      - req_9503b21e31db78c4ebd2b71b304cea72
+      - req_6c0595ef0498819df0c77a9ada75a8e5
     status:
       code: 200
       message: OK
diff --git a/packages/exchange/tests/providers/conftest.py b/packages/exchange/tests/providers/conftest.py
index 83d97be95..1aafb9af7 100644
--- a/packages/exchange/tests/providers/conftest.py
+++ b/packages/exchange/tests/providers/conftest.py
@@ -1,11 +1,14 @@
+import json
 import os
 import re
 from typing import Type, Tuple
 
 import pytest
+import yaml
 
 from exchange import Message, ToolUse, ToolResult, Tool
 from exchange.providers import Usage, Provider
+
 from tests.conftest import read_file
 
 OPENAI_API_KEY = "test_openai_api_key"
@@ -70,6 +73,73 @@ def default_google_env(monkeypatch):
         monkeypatch.setenv("GOOGLE_API_KEY", GOOGLE_API_KEY)
 
 
+class LiteralBlockScalar(str):
+    """Formats the string as a literal block scalar, preserving whitespace and
+    without interpreting escape characters"""
+
+    pass
+
+
+def literal_block_scalar_presenter(dumper, data):
+    """Represents a scalar string as a literal block, via '|' syntax"""
+    return dumper.represent_scalar("tag:yaml.org,2002:str", data, style="|")
+
+
+yaml.add_representer(LiteralBlockScalar, literal_block_scalar_presenter)
+
+
+def process_string_value(string_value):
+    """Pretty-prints JSON or returns long strings as a LiteralString"""
+    try:
+        json_data = json.loads(string_value)
+        return LiteralBlockScalar(json.dumps(json_data, indent=2))
+    except (ValueError, TypeError):
+        if len(string_value) > 80:
+            return LiteralBlockScalar(string_value)
+    return string_value
+
+
+def convert_body_to_literal(data):
+    """Searches the data for body strings, attempting to pretty-print JSON"""
+    if isinstance(data, dict):
+        for key, value in data.items():
+            # Handle response body case (e.g., response.body.string)
+            if key == "body" and isinstance(value, dict) and "string" in value:
+                value["string"] = process_string_value(value["string"])
+
+            # Handle request body case (e.g., request.body)
+            elif key == "body" and isinstance(value, str):
+                data[key] = process_string_value(value)
+
+            else:
+                convert_body_to_literal(value)
+
+    elif isinstance(data, list):
+        for i, item in enumerate(data):
+            data[i] = convert_body_to_literal(item)
+
+    return data
+
+
+class PrettyPrintJSONBody:
+    """This makes request and response body recordings more readable."""
+
+    @staticmethod
+    def serialize(cassette_dict):
+        cassette_dict = convert_body_to_literal(cassette_dict)
+        return yaml.dump(cassette_dict, default_flow_style=False, allow_unicode=True)
+
+    @staticmethod
+    def deserialize(cassette_string):
+        return yaml.load(cassette_string, Loader=yaml.Loader)
+
+
+@pytest.fixture(scope="module")
+def vcr(vcr):
+    vcr.register_serializer("yaml", PrettyPrintJSONBody)
+    return vcr
+
+
 @pytest.fixture(scope="module")
 def vcr_config():
     """
diff --git a/packages/exchange/tests/providers/test_anthropic.py b/packages/exchange/tests/providers/test_anthropic.py
index 272ebcb0f..daf925270 100644
--- a/packages/exchange/tests/providers/test_anthropic.py
+++ b/packages/exchange/tests/providers/test_anthropic.py
@@ -91,7 +91,7 @@ def test_message_text_to_anthropic_spec() -> None:
 
 def test_messages_to_anthropic_spec() -> None:
     messages = [
-        Message(role="user", content=[Text(text="Hello, Claude")]),
+        Message(role="user", content=[Text("Hello, Claude")]),
         Message(
             role="assistant",
             content=[ToolUse(id="1", name="example_fn", parameters={"param": "value"})],
@@ -148,7 +148,7 @@ def create_response(status_code, json_data=None):
 
     reply_message, reply_usage = anthropic_provider.complete(model=model, system=system, messages=messages)
 
-    assert reply_message.content == [Text(text="Hello from Claude!")]
+    assert reply_message.content == [Text("Hello from Claude!")]
     assert reply_usage.total_tokens == 35
     assert mock_post.call_count == 2
     mock_post.assert_any_call(
diff --git a/packages/exchange/tests/providers/test_azure.py b/packages/exchange/tests/providers/test_azure.py
index b46be30b9..4f040ed3c 100644
--- a/packages/exchange/tests/providers/test_azure.py
+++ b/packages/exchange/tests/providers/test_azure.py
@@ -43,7 +43,7 @@ def test_from_env_throw_error_when_missing_env_var(env_var_name):
 def test_azure_complete(default_azure_env):
     reply_message, reply_usage = complete(AzureProvider, AZURE_MODEL)
 
-    assert reply_message.content == [Text(text="Hello! How can I assist you today?")]
+    assert reply_message.content == [Text("Hello! How can I assist you today?\n")]
     assert reply_usage.total_tokens == 27
 
 
@@ -61,7 +61,7 @@ def test_azure_tools(default_azure_env):
 
     tool_use = reply_message.content[0]
     assert isinstance(tool_use, ToolUse), f"Expected ToolUse, but was {type(tool_use).__name__}"
-    assert tool_use.id == "call_a47abadDxlGKIWjvYYvGVAHa"
+    assert tool_use.id == "call_Dn0idyNSdmHSYpsql3EbFH9L"
     assert tool_use.name == "read_file"
     assert tool_use.parameters == {"filename": "test.txt"}
     assert reply_usage.total_tokens == 125
diff --git a/packages/exchange/tests/providers/test_databricks.py b/packages/exchange/tests/providers/test_databricks.py
index 4b6793abc..fdbaba474 100644
--- a/packages/exchange/tests/providers/test_databricks.py
+++ b/packages/exchange/tests/providers/test_databricks.py
@@ -61,7 +61,7 @@ def test_databricks_completion(mock_error, mock_warning, mock_sleep, mock_post,
         model=model, system=system, messages=messages, tools=tools
     )
 
-    assert reply_message.content == [Text(text="Hello!")]
+    assert reply_message.content == [Text("Hello!")]
     assert reply_usage.total_tokens == 35
     assert mock_post.call_count == 1
     mock_post.assert_called_once_with(
diff --git a/packages/exchange/tests/providers/test_google.py b/packages/exchange/tests/providers/test_google.py
index 16bb44621..a8db06475 100644
--- a/packages/exchange/tests/providers/test_google.py
+++ b/packages/exchange/tests/providers/test_google.py
@@ -83,7 +83,7 @@ def test_message_text_to_google_spec() -> None:
 
 def test_messages_to_google_spec() -> None:
     messages = [
-        Message(role="user", content=[Text(text="Hello, Gemini")]),
+        Message(role="user", content=[Text("Hello, Gemini")]),
         Message(
             role="assistant",
             content=[ToolUse(id="1", name="example_fn", parameters={"param": "value"})],
@@ -105,8 +105,8 @@ def test_messages_to_google_spec() -> None:
 def test_google_complete(default_google_env):
     reply_message, reply_usage = complete(GoogleProvider, GOOGLE_MODEL)
 
-    assert reply_message.content == [Text("Hello! 👋  How can I help you today? 😊 \n")]
-    assert reply_usage.total_tokens == 20
+    assert reply_message.content == [Text("Hello! 👋  What can I do for you today? 😊 \n")]
+    assert reply_usage.total_tokens == 21
 
 
 @pytest.mark.integration
diff --git a/packages/exchange/tests/providers/test_ollama.py b/packages/exchange/tests/providers/test_ollama.py
index 3ce870d36..b1df70d5c 100644
--- a/packages/exchange/tests/providers/test_ollama.py
+++ b/packages/exchange/tests/providers/test_ollama.py
@@ -13,8 +13,8 @@
 def test_ollama_complete():
     reply_message, reply_usage = complete(OllamaProvider, OLLAMA_MODEL)
 
-    assert reply_message.content == [Text(text="Hello! I'm here to help. How can I assist you today? Let's chat. 😊")]
-    assert reply_usage.total_tokens == 33
+    assert reply_message.content == [Text("Hello! I'm here to help. How can I assist you today? 😊")]
+    assert reply_usage.total_tokens == 29
 
 
 @pytest.mark.integration
@@ -31,7 +31,7 @@ def test_ollama_tools():
 
     tool_use = reply_message.content[0]
     assert isinstance(tool_use, ToolUse), f"Expected ToolUse, but was {type(tool_use).__name__}"
-    assert tool_use.id == "call_z6fgu3z3"
+    assert tool_use.id == "call_h5d3s25w"
     assert tool_use.name == "read_file"
     assert tool_use.parameters == {"filename": "test.txt"}
     assert reply_usage.total_tokens == 133
diff --git a/packages/exchange/tests/providers/test_openai.py b/packages/exchange/tests/providers/test_openai.py
index ea979abeb..db0a5261a 100644
--- a/packages/exchange/tests/providers/test_openai.py
+++ b/packages/exchange/tests/providers/test_openai.py
@@ -25,7 +25,7 @@ def test_from_env_throw_error_when_missing_api_key():
 def test_openai_complete(default_openai_env):
     reply_message, reply_usage = complete(OpenAiProvider, OPENAI_MODEL)
 
-    assert reply_message.content == [Text(text="Hello! How can I assist you today?")]
+    assert reply_message.content == [Text("Hello! How can I assist you today?")]
     assert reply_usage.total_tokens == 27
 
 
@@ -43,7 +43,7 @@ def test_openai_tools(default_openai_env):
 
     tool_use = reply_message.content[0]
     assert isinstance(tool_use, ToolUse), f"Expected ToolUse, but was {type(tool_use).__name__}"
-    assert tool_use.id == "call_xXYlw4A7Ud1qtCopuK5gEJrP"
+    assert tool_use.id == "call_Z43oz2RtLmNHw9xvFgxA1SC5"
     assert tool_use.name == "read_file"
     assert tool_use.parameters == {"filename": "test.txt"}
     assert reply_usage.total_tokens == 122
@@ -64,7 +64,7 @@ def test_openai_tools_integration():
 def test_openai_vision(default_openai_env):
     reply_message, reply_usage = vision(OpenAiProvider, OPENAI_MODEL)
 
-    assert reply_message.content == [Text(text='The first entry in the menu says "Ask Goose."')]
+    assert reply_message.content == [Text('The first entry in the menu says "Ask Goose."')]
     assert reply_usage.total_tokens == 14241