chore(ci): remove unused recordings (#4074)

Added a script to cleanup recordings. While doing this, moved the CI
matrix generation to a separate script so there is a single source of
truth for the matrix.

Ran the cleanup script as:
```
PYTHONPATH=. python scripts/cleanup_recordings.py
```

Also added this as part of the pre-commit workflow to ensure that the
recordings are always up to date and that no stale recordings are left
in the repo.

tests/integration/telemetry/recordings/0de60cd6a6ec3dbfc4a7601e77be8083caf34f49147ad1c25efae1de3f0b25e5.json

@@ -1,57 +0,0 @@
-{
-  "test_id": "tests/integration/telemetry/test_openai_telemetry.py::test_openai_completion_creates_telemetry[txt=ollama/llama3.2:3b-instruct-fp16]",
-  "request": {
-    "method": "POST",
-    "url": "http://0.0.0.0:11434/v1/v1/chat/completions",
-    "headers": {},
-    "body": {
-      "model": "llama3.2:3b-instruct-fp16",
-      "messages": [
-        {
-          "role": "user",
-          "content": "Test OpenAI telemetry creation"
-        }
-      ],
-      "stream": false
-    },
-    "endpoint": "/v1/chat/completions",
-    "model": "llama3.2:3b-instruct-fp16"
-  },
-  "response": {
-    "body": {
-      "__type__": "openai.types.chat.chat_completion.ChatCompletion",
-      "__data__": {
-        "id": "rec-0de60cd6a6ec",
-        "choices": [
-          {
-            "finish_reason": "stop",
-            "index": 0,
-            "logprobs": null,
-            "message": {
-              "content": "I'm happy to help you with setting up and testing OpenAI's telemetry creation.\n\nOpenAI provides a feature called \"Telemetry\" which allows developers to collect data about their users' interactions with the model. To test this feature, we need to create a simple application that uses the OpenAI API and sends telemetry data to their servers.\n\nHere's an example code in Python that demonstrates how to create a simple telemetry creator:\n\n```python\nimport os\nfrom openai.api import API\n\n# Initialize the OpenAI API client\napi = API(os.environ['OPENAI_API_KEY'])\n\ndef create_user():\n    # Create a new user entity\n    user_entity = {\n        'id': 'user-123',\n        'name': 'John Doe',\n        'email': 'john.doe@example.com'\n    }\n    \n    # Send the user creation request to OpenAI\n    response = api.users.create(user_entity)\n    print(f\"User created: {response}\")\n\ndef create_transaction():\n    # Create a new transaction entity\n    transaction_entity = {\n        'id': 'tran-123',\n        'user_id': 'user-123',\n        'transaction_type': 'query'\n    }\n    \n    # Send the transaction creation request to OpenAI\n    response = api.transactions.create(transaction_entity)\n    print(f\"Transaction created: {response}\")\n\ndef send_telemetry_data():\n    # Create a new telemetry event entity\n    telemetry_event_entity = {\n        'id': 'telem-123',\n        'transaction_id': 'tran-123',\n        'data': '{ \"event\": \"test\", \"user_id\": 1 }'\n    }\n    \n    # Send the telemetry data to OpenAI\n    response = api.telemetry.create(telemetry_event_entity)\n    print(f\"Telemetry event sent: {response}\")\n\n# Test the telemetry creation\ncreate_user()\ncreate_transaction()\nsend_telemetry_data()\n```\n\nMake sure you replace `OPENAI_API_KEY` with your actual API key. Also, ensure that you have the OpenAI API client library installed by running `pip install openai`.\n\nOnce you've created the test code, run it and observe the behavior of the telemetry creation process.\n\nPlease let me know if you need further modifications or assistance!",
-              "refusal": null,
-              "role": "assistant",
-              "annotations": null,
-              "audio": null,
-              "function_call": null,
-              "tool_calls": null
-            }
-          }
-        ],
-        "created": 0,
-        "model": "llama3.2:3b-instruct-fp16",
-        "object": "chat.completion",
-        "service_tier": null,
-        "system_fingerprint": "fp_ollama",
-        "usage": {
-          "completion_tokens": 460,
-          "prompt_tokens": 30,
-          "total_tokens": 490,
-          "completion_tokens_details": null,
-          "prompt_tokens_details": null
-        }
-      }
-    },
-    "is_streaming": false
-  }
-}

tests/integration/telemetry/recordings/dba5042d6691c2fbc29f2172c0f175e235f2829cb1c3e49781dd2b1850e28775.json

@@ -1,59 +0,0 @@
-{
-  "test_id": "tests/integration/telemetry/test_completions.py::test_telemetry_format_completeness[txt=llama3.2:3b-instruct-fp16]",
-  "request": {
-    "method": "POST",
-    "url": "http://localhost:11434/v1/v1/chat/completions",
-    "headers": {},
-    "body": {
-      "model": "llama3.2:3b-instruct-fp16",
-      "messages": [
-        {
-          "role": "user",
-          "content": "Test trace openai with temperature 0.7"
-        }
-      ],
-      "max_tokens": 100,
-      "stream": false,
-      "temperature": 0.7
-    },
-    "endpoint": "/v1/chat/completions",
-    "model": "llama3.2:3b-instruct-fp16"
-  },
-  "response": {
-    "body": {
-      "__type__": "openai.types.chat.chat_completion.ChatCompletion",
-      "__data__": {
-        "id": "rec-dba5042d6691",
-        "choices": [
-          {
-            "finish_reason": "length",
-            "index": 0,
-            "logprobs": null,
-            "message": {
-              "content": "To test the \"trace\" functionality of OpenAI's GPT-4 model at a temperature of 0.7, you can follow these steps:\n\n1. First, make sure you have an account with OpenAI and have been granted access to their API.\n\n2. You will need to install the `transformers` library, which is the official library for working with Transformers models like GPT-4:\n\n   ```bash\npip install transformers\n```\n\n3. Next, import the necessary",
-              "refusal": null,
-              "role": "assistant",
-              "annotations": null,
-              "audio": null,
-              "function_call": null,
-              "tool_calls": null
-            }
-          }
-        ],
-        "created": 0,
-        "model": "llama3.2:3b-instruct-fp16",
-        "object": "chat.completion",
-        "service_tier": null,
-        "system_fingerprint": "fp_ollama",
-        "usage": {
-          "completion_tokens": 100,
-          "prompt_tokens": 35,
-          "total_tokens": 135,
-          "completion_tokens_details": null,
-          "prompt_tokens_details": null
-        }
-      }
-    },
-    "is_streaming": false
-  }
-}