diff --git a/pydantic_ai_slim/pydantic_ai/models/anthropic.py b/pydantic_ai_slim/pydantic_ai/models/anthropic.py
index 69a42c896f..3aeb8c8f10 100644
--- a/pydantic_ai_slim/pydantic_ai/models/anthropic.py
+++ b/pydantic_ai_slim/pydantic_ai/models/anthropic.py
@@ -1,6 +1,5 @@
 from __future__ import annotations as _annotations
 
-import base64
 import io
 from collections.abc import AsyncGenerator, AsyncIterable, AsyncIterator
 from contextlib import asynccontextmanager
@@ -354,48 +353,13 @@ async def _map_user_prompt(
                     else:
                         raise RuntimeError('Only images and PDFs are supported for binary content')
                 elif isinstance(item, ImageUrl):
-                    try:
-                        response = await cached_async_http_client().get(item.url)
-                        response.raise_for_status()
-                        yield ImageBlockParam(
-                            source={
-                                'data': io.BytesIO(response.content),
-                                'media_type': item.media_type,
-                                'type': 'base64',
-                            },
-                            type='image',
-                        )
-                    except ValueError:
-                        # Download the file if can't find the mime type.
-                        client = cached_async_http_client()
-                        response = await client.get(item.url, follow_redirects=True)
-                        response.raise_for_status()
-                        base64_encoded = base64.b64encode(response.content).decode('utf-8')
-                        if (mime_type := response.headers['Content-Type']) in (
-                            'image/jpeg',
-                            'image/png',
-                            'image/gif',
-                            'image/webp',
-                        ):
-                            yield ImageBlockParam(
-                                source={'data': base64_encoded, 'media_type': mime_type, 'type': 'base64'},
-                                type='image',
-                            )
-                        else:  # pragma: no cover
-                            raise RuntimeError(f'Unsupported image type: {mime_type}')
+                    yield ImageBlockParam(source={'type': 'url', 'url': item.url}, type='image')
                 elif isinstance(item, DocumentUrl):
-                    response = await cached_async_http_client().get(item.url)
-                    response.raise_for_status()
                     if item.media_type == 'application/pdf':
-                        yield DocumentBlockParam(
-                            source=Base64PDFSourceParam(
-                                data=io.BytesIO(response.content),
-                                media_type=item.media_type,
-                                type='base64',
-                            ),
-                            type='document',
-                        )
+                        yield DocumentBlockParam(source={'url': item.url, 'type': 'url'}, type='document')
                     elif item.media_type == 'text/plain':
+                        response = await cached_async_http_client().get(item.url)
+                        response.raise_for_status()
                         yield DocumentBlockParam(
                             source=PlainTextSourceParam(data=response.text, media_type=item.media_type, type='text'),
                             type='document',
diff --git a/tests/models/cassettes/test_anthropic/test_document_url_input.yaml b/tests/models/cassettes/test_anthropic/test_document_url_input.yaml
index 6af77061e8..e2b5acbdb5 100644
--- a/tests/models/cassettes/test_anthropic/test_document_url_input.yaml
+++ b/tests/models/cassettes/test_anthropic/test_document_url_input.yaml
@@ -1,283 +1,4 @@
 interactions:
-- request:
-    body: ''
-    headers:
-      accept:
-      - '*/*'
-      accept-encoding:
-      - gzip, deflate
-      connection:
-      - keep-alive
-      host:
-      - www.w3.org
-    method: GET
-    uri: https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf
-  response:
-    body:
-      string: !!binary |
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JVBERi0xLjQKJcOkw7zDtsOfCjIgMCBvYmoKPDwvTGVuZ3RoIDMgMCBSL0ZpbHRlci9GbGF0ZURlY29kZT4+CnN0cmVhbQp4nD2OywoCMQxF9/mKu3YRk7bptDAIDuh+oOAP+AAXgrOZ37etjmSTe3ISIljpDYGwwrKxRwrKGcsNlx1e31mt5UFTIYucMFiqcrlif1ZobP0do6g48eIPKE+ydk6aM0roJG/RegwcNhDr5tChd+z+miTJnWqoT/3oUabOToVmmvEBy5IoCgplbmRzdHJlYW0KZW5kb2JqCgozIDAgb2JqCjEzNAplbmRvYmoKCjUgMCBvYmoKPDwvTGVuZ3RoIDYgMCBSL0ZpbHRlci9GbGF0ZURlY29kZS9MZW5ndGgxIDIzMTY0Pj4Kc3RyZWFtCnic7Xx5fFvVlf+59z0tdrzIu7xFz1G8Kl7i2HEWE8vxQlI3iRM71A6ksSwrsYptKZYUE9omYStgloZhaSlMMbTsbSPLAZwEGgNlusxQ0mHa0k4Z8muhlJb8ynQoZVpi/b736nkjgWlnfn/8Pp9fpNx3zz33bPecc899T4oVHA55KIEOkUJO96DLvyQxM5WI/omIpbr3BbU/3J61FPBpItOa3f49g1948t/vI4rLIzL8dM/A/t3vn77ZSpT0LlH8e/0eV98jn3k0mSj7bchY2Q/EpdNXm4hyIIOW9g8Gr+gyrq3EeAPGVQM+t+uw5VrQ51yBcc6g6wr/DywvGAHegbE25Br0bFR/ezPGR4kq6/y+QPCnVBYl2ijka/5hjz95S8kmok8kEFl8wDG8xQtjZhRjrqgGo8kcF7+I/r98GY5TnmwPU55aRIhb9PWZNu2Nvi7mRM9/C2flx5r+itA36KeshGk0wf5MWfQ+y2bLaSOp9CdkyxE6S3dSOnXSXSyVllImbaeNTAWNg25m90T3Rd+ii+jv6IHoU+zq6GOY/yL9A70PC/5NZVRHm0G/nTz0lvIGdUe/Qma6nhbRWtrGMslFP8H7j7DhdrqDvs0+F30fWtPpasirp0ZqjD4b/YDK6Gb1sOGVuCfoNjrBjFF31EuLaQmNckf0J9HXqIi66Wv0DdjkYFPqBiqgy+k6+jLLVv4B0J30dZpmCXyn0mQ4CU0b6RIaohEapcfoByyVtRteMbwT/Wz0TTJSGpXAJi+9xWrZJv6gmhBdF/05XUrH6HtYr3hPqZeqDxsunW6I/n30Ocqgp1g8e5o9a6g23Hr2quj90W8hI4toOTyyGXp66Rp6lr5P/05/4AejB2kDdUDzCyyfaawIHv8Jz+YH+AHlZarAanfC2hDdR2FE5DidoGfgm3+l0/QGS2e57BOsl93G/sATeB9/SblHOar8i8rUR+FvOxXCR0F6kJ7Efn6RXmIGyK9i7ewzzMe+xP6eneZh/jb/k2pWr1H/op41FE2fnv5LdHP0j2SlHPokXUkH4duv0QQdpR/Sj+kP9B/0HrOwVayf3c/C7DR7m8fxJXwL9/O7+IP8m8pm5TblWbVWXa9err6o/tzwBcNNJpdp+oOHpm+f/ub0j6JPRX+E3EmC/CJqhUevQlY8SCfpZUj/Gb1KvxT5A/lr2Q72aWgJsBvYHeyb7AX2I/ZbrJLkewlfy5uh1ceH4aer+e38Dmh/Ce9T/Of8Vf47/kfFoCxRVip7lfuVsDKpnFJ+rVrUIrVCXa5uUXeoUUSm2nCxocPwiOFxw3OGd4z1xj6j3/gb09Wma83/dLbs7L9N03T/dHh6ArlrRiZdCU98lR5A3h9FDH4Aj/4QFp+mdxGFHFbAimH3atbK2tgm9il2GfOwq9n17O/Yl9k97AH2LawAa+Am2O7gjbyDu7iHX8uv57fwo3gf59/nP+Gv8DOwPEuxKw5lubJR2aFcqgxhDUHlgHItPHub8pjykvKy8qbyG+UMopalLlZD6pXq3erD6lH1R4ZPGgbxfsBw0jBl+JHhA8MHRm7MMeYZK42fMT5i/KXJaFppajfdaPoX03+Y/SyPlcFybX614NnYg4v5YzxdPcjOAJHPVErGyh2IQwd2xX9QgzKNuCSJediWwbPVNMFpdKph8AfZCaplL9BBI1dQidXTFGG/4KfV5/lF9GPWw7LVh5Uhww94AT2OanSYP81PsPV0lNfzS/i9CrE32CP0BvL9CrqDXc4C9Dg7w9awz7M6dpD+hWcqHexaqo8+wFUWxzaydwgW0FVqH33646sgW02/oLemv6omqp9DfZqkuxDRb9Br7FH6MzNE30Z1U1CNXKgyNyPfryNR9XZinx3EfsxGBRkwvkRHxYliqjOuU6+kd+g/6S3DcWTUelTSN6e96lfVX0XrouXYYdhl9Aj2XT9djB3zBrLkGYzF6DLs9HjUkmrs6nbaQX30eVS926Lh6L3Ra6L7oz76R/D+mS1jf2Zj2BGT4Kin7+H9RfoZuwn78OL/3ikw3UdT9FtmZYWsGvvhjGGf4bDhMcNRw7cNLxqXw9vX0j3I6F8im+OxAjf9iH5Lf2JmxCabllEN7F0F27togHcrz1ATyyE/9mwJ6vh6fSUBSLka3rsX+/kZ7I13UCcuo2/TK4yzLKzIDf1myGmDn3eB+iFE8Bo2AUwfqnYZ/Q7rTmKreBD6nJB0F6rWFGz6Bf0a3o5Ku5ahLjSzSyDrT/Qp6oOGldTOxhGBJ2k1Kmuz8k/w91JmofVsCfs6+HqwQ5Mon1YbfsU4LZveHF3FvcozOGOiwI/h9Mqli9heWJGMdZylDLaFaqe3wYaXiZyNnc6GdRfVr12zelVdbc2K6uVVlRXlyxxlpSXFRYVL7UsKNNvi/LzcnGxrVmZGelpqiiU5KTFhUXyc2WQ0qApntKzF3tqjhYt6wmqRfcOGcjG2u4BwzUP0hDWgWhfShLUeSaYtpHSCcveHKJ0xSucsJbNo9VRfvkxrsWvhF5vt2iTbsbUL8C3N9m4tfEbCmyR8WMKJgAsKwKC1WPubtTDr0VrCrfv6R1t6miFufFF8k73JE1++jMbjFwFcBCicZfePs6x1TAI8q2XNOCdzIowK59ibW8LZ9mZhQVgpbHH1hdu3drU05xYUdJcvC7Mmt703TPb14WSHJKEmqSZsbAqbpBrNK1ZDN2njy6ZGb560UG+PI6HP3ue6rCusuLqFjhQH9DaHs6583To3hPDUpq7r58/mKqMtVq8mhqOj12vhqa1d82cLxLW7GzLAywtbe0ZbofpmOLGtQ4M2fl13V5hdB5WaWIlYVWx9HnuLwPR8RgvH2dfb+0c/04PQ5IyGadv+gkhOjvNY9DTltGijnV32gnBDrr3b1Zw3nk6j2/ZPZDu17IUz5cvGLSkxx44nJetAQuJ8wDM7JyFJLqC2bbOeZcIi+0YkRFhza7Cky441rRIXzyoada8CGV7dDFzhPkTEG45r6hm1rBF4wR82FFrs2ugfCRlgP/P2QoxLxxgLLX8kAYo8mU01zM/AYYcjXFYmUsTUhJjCxnVyXFu+bN8kX2n3WzR0cB+1w7eu7jWVcH9BgQjwTZNO6sUgfGhrV2ysUW9uhJyVju4w7xEzUzMzGdvFzKGZmVn2Hjsy+ah8EMgIm4tm/yVbMtNa+teEWebHTHti820d9ratO7q0ltEe3bdtnQtGsflVs3M6FE5r6lJyuQ7xXEXOIikvmyUWg66EsFqIf0aZ1H1hBUkpEUxrDVt6NsSu3fEFBR/JM2kyz2OajL4juGQ3x6ZbGV7jWDheu2C8wLqEUQX2qkW8rXPH6Gj8grlWFKDR0Va71jraM+qajB7qtWsW++gx/jB/eNTf0jMT0Mno8Ztyw603d2MR/WwNkpXT+nE7u2HruJPd0LGj65gFT283dHZFOONNPeu7x5dirusYbkWcEstnsWKkiRG1MSR6hJvlVO4xJ9EhOatKhBy7JxlJnHkGx8g9yWM4i8ThVY7bFBF8A9449U20/ihn00bTJG9wppFBnVYo3qROM8o2Gw3TXHmaFVEcbnatZHVY3qs/W7/Z8m79prP11ADY8gEuy6sKUgpSCnFhuIH4QFOmPnAa6C+kqVPQhScYMrjwnGUhGx10rigxlMRfnOVRPQmGsqzVWRsyuzP7Mw2rs1bmXp97t+GuRQZbSiEjnpZamGwxZxcfMTHTZHRqIm5RDUy82Zl2qIBpBVUFvCAlVSPNUmXhlkl+04S2vMPqgGk7hW2bLDv3vufYu+mMNLJB2kg797KdaQXVWZmZqRnpuBfE217AUlZU163jtTVFRcVF9jt4/lM9V032lNft3nRN79fPvsxKXv1c3YZd9fUDHeueMBzPK3pu+s0fPnHNmLutzKY+90FtUuolLzz22JO7U5PEs/ct0d+oHbivy6R7nVmfStmTcpdBiTNmG+t5fUobb0t5k5uSJ3nQmaIuyqT4jPT0+DhjWnpRRgZNslJnUqZTW1pzJJNFM1lmjhWLdmYuWVpz2Dpm5X7rO1b+eyuzxi8qijOLqWTQjpnZO2Zmzs5qqJdr3zvsEKvfjNUPO95D23Sm3iIjVW+BFxrOCC+wnQW1RqN9SVFRLaKWnpm5onrlSgEqm9c84738sU+ybNu2hg3DZSz7vu29n37sLj42bT3tWbsl9Dqb+svPxToP4H73y+o6KmZrj1EpjNmZEt9gMBoTMoyZCTVKjbnGWmNv5i3mFmuzPUFTKks74npKD5XeV/p148OmhxKeMD6REC49VXq6NIlKK0vbMXGy9LVSY6kzJ6+mAeNDctJgKlBNOfmZcFkk3lQgPLdYNVlSUopz8/KKiuMZGZMtRakpzh21PSnMl8JSJnmrMzkntyg/DzhfHuvJY3nAHS1EdBl8HCEqFsmUHNcgeudK2F0M0mJnI1o92tLimmLnmotqKotfKn6tWEkuthUfKlaoWCuuKo4Wq8XZJb+K+Vq4OPZCtp2Bl9/budeBRHtv707RwefS6+LdcKbhDEtJXU1oy6vYsGPvToTBkVaQsXJFdWbWSnnNzEAIapCDS4xGCRbNgAeYctPU7ruqWh+4LPRASf70m/nFW9f2V0y/ubhhZWN/+fSbatFtj3Zu396567LmL5/t5ru+WlG/4aa7pjlvvWfHstZr7z77AWKWNL1V3YbcTGM1R1NLDCxtMnraaU1IrjFnJibXmMTFKC6GTOC4cI4tZ00NgqomLkoyWjilGdU0rioKg9vTeizMMsmOOFMXJSdWJpWQllGV0ZOhvJPBMoR/lxTViN6Zmre4JiMrK0ddrTit2TUHFaZMsmJnHJcjVD8xSsXTiTNvZY1GVagW2enfGYs52LHpbDau+Gc9u7nF0/xrh2Pv8CbLu69Tw5mdlQ3StSx1dYr0a+pqAKYki9joDibjsrMtbOloC69BxY+oFjoefYdY9J1xBc/veHXjRDlGhuhvnEmJKQ1plrRsXFKtDQacIRMYiD6CcUxWd1pBWloBMyUp9iXFxWLL1CUxx/T7zD59Y1Nh06cOtm/dnL2+tvfT2WrR2ST+hw/4sZ29Fy1J+UVioFvUwDvxLPg+amAy7rdHnIVGw7H0Y1blYgPbY/iJgaemFCYmJVGupRAuSSZz5jlVL9OWX5Xfk+/PP5RvyLckayzmLFH48hYWvtm6J6pe6urKudq3IqVAQ/HLSDeKymfP5nLj14i6dyf7V5a07cBjvV/a/JnvP/vAkX1Nn95QO2Y4nlnw6pHrJ70pGWd/qj433VPR29jenxiPbPoS1nMt1hNHw84Gs0E1GgpNmrnKfNL8mlmtNB82c7OZFFWsJ47MpgbjFjyKb1Nw8vAcbVHVIr5IjZu/iPj5i0D9eg8ABnPL2LkXvWKw1GM1WEhGgWxfUs6cXcv7zt5rOP7+9IPvn71NVCcrHP5rw8uowpPO6pUqK1M1i5bSrR6yGszqSSvPyEzh6amZKUlpyWRJSmNk4elx5uRFbNeiKAwTZSbeyFKSY4VYVh2c13jYFomPkr2iwbzF3G5WzCWWypRdKTxlkqnOxKS0Ip6+i8YypzJ5JkL3ZFxCTWZ21hXHuJfk0hx76zeJ0/KDnfXv7sx+naxYm1gVWgMuq6uT8UJ5EMUhbUVtjSgLWSZRBDIyVmTYURLs1ntX3x26IlDUtO6i2n/+5+k371WL2r9wbcfS71hWb2179YOnlI0i126Hsd9AbMTZPnKM4rAPG1DnnHHtcfxQXDhuKu5U3O/jDLa4nriDcWNAGBSjCQe/kkzMSafwxKjQTtwiGA1GkxrPTUVMFXs5rmBpjZpt1o8ah34LIAOEJcjQyOhgAcOONJjL0G5n2dNvsmz1SaZOf/CXT6hFOEDYPAs7xBaccpYK+wztBn7IEDZMGU4Zfm8w2Aw9hoOGMSAMMAY3JVwpYjRjCWWr51ii614R02s4/udWeKMRZ3Ixzqp0ymNfO0aW6PvO1kWr7477SuJdlkcMD8efiDuROJljNqezDfxiY2v8lsWPJD5pfDLnu/HfS/hJ/CsJ75v+lJiYl5yX4czNr8lwJqXUJGeczHgpQ5GFLnlxg+yTstDzW5wJyUmp7Uk9STzJmspEFmTn1rAVqcLsiXytRvZLSmO9ozzWW/Nk70xOSq4ZE/flFpi9KzUVmTehLkq1igxcushEBawyo2BLEkvKqVy8a7Fv8X2L1cXJBWYnirY5O9/bGPPGpjNy+2w68y6KwBkUOWe61VmS3mB1Lk7GJdeCS15KgyxqDWdlEUyFEaBIFcaASPagE31khhTnnSyEkoEwgeNMzGeJLjwRF79ODhsLGhwk6F93oCjvlOqTnPBSklCaJNQnOeEskkJRnBwOHKP1uAtD8HbupZ0OhiPHrhUX1VpoRTUpBfL+JE0chiZjFv8zs65868j0767zsvSXz7BU41mncrVr/Y5i5YpLLquvZ2xb5Vfuf+K2V5kZ1fm70898/qYNbODKg01NAfkxmPiI79d7nvlx/8ldyfV/NGeb5adDD/yqfu5Tf5reavwyqgdDbWMzH58RmdZNb6amuQ/UPvQBU4IRKMN36Q71V3SLKZ8OqAFK4qtx53sJ3Qncl/hjZMX4dtEw1wielfQ4s7H/5JN8UtGUIeV/qw1qyPBZXXoClSANxIsjISppO+65Nlt82AgCu0u9ksTduzRYXhXJFy9HiuTCnaEOK9TFLDqsUjrr12EDWdnndNgI+A4dNtF32Dd02ExF3K/DcTTK79LhePU5RdPhRdRr+qUOJ9Buc7MOJxqPmh/T4SS6LPnTs347mHxch+E2y2od5qRa1umwQsss63VYpXjLkA4bKMFyhQ4bAV+rwybqtRzWYTOlWf6gw3HUkmLQ4XjuSvmEDi+i5WmPz35btiLtFzqcqOxIT9bhJKrI8sISpgqvJ2V9SYdVysl6UMIG4OOzTuqwSplZ35ewEXhj1ms6rFJq1hsSNom4ZP1JhxGLrKiEzcAnWNN0WCWr1SbhOBFfa50OI77ZtToMOdkNOoz4Zl+sw5CZfZ8OI77ZEzqM+Gb/ow4jvtm/0mHEN+dhHUZ8c17UYcQ391M6jPhq2TqM+Gqf1WHEV/tfOoz4Ft8p4Xjhq+J/12H4qji2xkXAp5Zk67BKi0scEk4QaynZqMOwv2SrhJNE5pd4dFilvJKQhC1Szm06LOR8TcJpwuclz+owfF7yXQmnC3tKfqbDsKfkTQlnAJ9eynRYJa00Q8KZgr60VodBX9ok4WxJv1OHBf1eCeeKHCi9TYeRA6X3SDhf2FM6rsOwp/QpCdsk/fd1WNC/LOGlIgdK39Jh5EDpHyVcJvxTlqjD8E9ZzM5yUQnKSnVYnYHN0v+zMOwvk/ljlusq26rDAr9LwAkx+v06LPDXS1jGpex+HRZ6H6VO2k9+8tBucpEbvUaPonVSv4Q3kY+G0II6lYaK6aNhwOLqAt4rKTRgBsBfAahZ4l3/Q0mVs5Zp1IGZAQrN0gSA24g+pm85rca7isp1qFpiG8ExgH4bePbAhqDk2gZ5AbRh2odrH6iGMe8C5Xqpo+8cO9fMo9FmqdbQJVJKYNbqFdBahbeGKr8JWDdmfZj3wbNBKj2vlI+SMUdbPs+uznn4b0nPCr/1QcYg+mG6HDih7b/vcw1YD7zlhU1BaZvwkYaxoAnqUrcjHhq1S36NiqS+Tbhuge7d0vcu0As+D6QKb49ITiGt4jw2xeLsg15hkx+0+z+SyiPzS9CNSKv2zOr16tlbLqPso17d6s1ypl960QVrls3aPixnvDJTO3ANSatjEYll1SrkUpO0JCi9POO3Ydiigcql52Iso7zS930yw0TODUld8+Pu1mW5pG2Cc1BKFHb3Q/+glBjzviatdkl9bj0asRlhdUCPh0uuMca3fzb+Xj3b/XoEPdI3AZmNsdXNRMil2x+S2jSpYb5VM5EXvhHjESm7f142CFqflBXTPYOPeTuoe8StZ2rgHLogZHqkV7zoY7LdOiYkPS0yai6nfXLnDkuPDkh+YamI56DONaPBLfn36Vq9+kpj+1FImPPCblAKaTHsnF+9und9+kq8kj4kR3NRDcgsHZDWnT8nZmprYHYtYm5QypuTIerF5bq1Lt3/bln1NH2XzvisT+reI7ExfrHDvHoM++W+8+s54sNV7Oh9urdjEuaqvUvGKpYdmvShW1+/V0ZtQNL45d6LZeOQ5IytZH52e2czS+z8K/TIDEprRG7u0/dWrO4MzNoxKEdz2Rv80IkU+ND63LqOXikhJD3dtyA3PbQX+BnPitx2z65wt8xtTebAFdK3AZl3wdl6Eou6sD2234N61YjtpoCeZXPVMzY7KCPioislf8xqIdctZ+cyLaa9T3rLL3fJ/tlVzOgekjVTzLukJ4Z1HWIPxbwYlPwzFs9I98scGpR1c8a2Cnn2BTG3BmdqJeSKd4Wkml9hK2R1GgRFv9xLA4AGAQ3JCHnkKEC7ZA7EIl4xS/l/V8OIzJgYrWeels2o9J0491vRmpB5At4CrDgBWnH9pMS3ANOBq8jNi3EStOC9SWI7KRFPU6J1ymwKnCfXtFl8bJ/EPOrXfT6Xo3/dKTYXmZmKPBPnXjm7H/ShWZ3u2doWy+e582h+tYxVjrk6Gtu/Xr1mBvQ9vUdK8czWRLFbu3VtYnfv02tp7+xpFNMZ/BjPzNTOkdnq5NF3nGc2p4dl/Qjq+3m3no/n89fMLhQe88yTMreLz9XXp5+AIgN7ZWWMWd2rR2ZIl3y+CBXLVS30VKwin5sV52qeqW2iirnkvagLWgd0bwf0GvJRuoX3twMzV2f3nxMLj36XMf+eK1a9XdIiv/SsV7/T+Wtirum5ODSvts3oFZWkT3raO+8UGZ53r7xslnp4Xt7Ond0f7ylh3aCUP5NXvgXyRmT8L5fRnH8fOlMf5yh9oI3doYakx4X8/tn1xOyan92DekWN+T+2q/x6fsxV3oU59HErmsuPjXLt50Zu5t5LnDke/Q4ttprY/Z5bRnXoQzEY/pC/5yQH5N1qSN71x86hffLeaITm313919GfkTes3/959Wee893FnRvHmLfm7ljdUua5+3gmYq4P+Xr332TtnJfP1bDwvF9okUe/iw3i7JmRIJ5PGin2JFCCe/gaqsPzl4brcozK8XxVI5+yxKcj26lNp6zC7HLM1OhwHZ7G6iTXSqrFs4BoQvrfdtb990/GmbnKD3lv9jzs3O/37Ha5PdqjWme/R9vkG/IFgdKafMN+37Ar6PUNaf4Bd4XW7Aq6/guiSiFM6/ANhAQmoG0cAt/y1aurynGprtAaBwa0bd49/cGAts0T8Azv8/Q1DntdA+t9A30zMtdIjCZQay7xDAeE6BUVVVVaySave9gX8O0Ols6RzKeQ2HIpq1PCj2idw64+z6Br+HLNt/tjLdeGPXu8gaBn2NOneYe0IEi3d2jtrqBWpHVu0rbs3l2huYb6NM9AwDPSD7KKWUlYs2/PsMvfv38+yqM1D7tGvEN7BK8X7i3Xtvl6IXqz193vG3AFlgnpw16316V1uEJDfVgIXLWqusk3FPQMCtuG92sBF7wIR3l3a32egHfP0DIttnY3qFxeTA76hj1af2jQNQTzNXe/a9jlxjIw8LoDWIdrSMPcfrF+L9zuxwI9bk8g4IM6sSAX5Ifc/ZpXFyUWHxryaCPeYL90w6DP1ye4BQyzgzDEDacGZnDBEc9Q0OsBtRtAaHh/hSY97dvnGXYh3sFhjys4iCnB4A4h5gGhTMTRMyxN2B0aGAAobYX6QR+UeIf6QoGgXGoguH/AM98TIlsDQotneNA7JCmGfZdDrAv2u0NQFAtgn9e1xyfmR/rhc63fM+CHR3zaHu8+jySQae/SBuAObdAD3w153SB3+f0euHHI7YGSmLu9wlma5wosZtAzsF/D2gLInQEhY9A7IN0b1DdSQNfnBkevRwsFkFLSm569IWFsyC38r+32YcmQiEUFgyJPsPRhD+IeRGogTAG4TKYnhoOuPa4rvUMQ7Qm6l8WcBvY+b8A/4NovVAjuIc9IwO/ywzSQ9MHEoDcgBAty/7Bv0CelVfQHg/41lZUjIyMVg3rCVrh9g5X9wcGBysGg+NuSysHALpdYeIVA/pUMI54BYD2SZfOWzo2tG5saOzdu2axtadU+ubGpZXNHi9Z48baWlk0tmzsT4xPjO/vh1hmvCReLmMBQrCAoPXqeLSYXIxJZrLl3v7bfFxKcbpFt8LPcR7G0RHLIHEV8sf2GQO7aM+zxiEys0LrB1u9CGvh6xTYCZ3CBMSI7R0Q6eRA4j/D0sMcdRJx3w49zdokQ+vZ4JIkM8SwfQoPs7Q0FIRpm+rCj5i2oODBjFBJ51hWzzCLbtH2ugZCrFxnmCiBD5nNXaNuHZM7un1kF1qRXLqS3Swv4PW4vis65K9fgxSGZbYLX1dfnFTmBrByWVXmZQA9L38rd/SGjBryDXrEgKJF0I77hywOxJJX5KJG+ERTUUO+AN9Av9EBWzN2DSFTYj1D592ux5NU9tFCR9MfG3XOLE9Vrb8gTkGpQ99ye4SF9BcO63ZI40O8LDfRhD+3zekZi5eqc5Qs6RNKDCtA3V+Jm1wizZGF1B+diLBbm0q3efX6x0uRZBn3f64KgxxVcIwi2dzTiEChZVVNXqtUtX1VeVVNVFRe3vQ3IquXLa2pwrVtRp9WtrF1duzox/iN23cduRjGq1M2T+xCPqx79Jknc6sz/mGXhTJBCLBG3Bm8toJnD7qaFH3NrOqZV/9Bj/oyOU25QnlG+o5zEdXz+/AL8ha8NLnxtcOFrgwtfG1z42uDC1wYXvja48LXBha8NLnxtcOFrgwtfG1z42uDC1wYXvjb4f/hrg9nPD7z0UZ8sxGY+iT6WrT6JCS2gPXf2Ylk1AguoZnCt9BbGl9N7oH8LuIWfOiycm+GZub/ynVfi3OwlEppPE8NskKN98vOOhfMLZ9r10zckn/18clfOpz7f/HxP+T7Shz7Vpq5T16pN6kp1lepUL1Lb1NXzqc8733neT3TmsK3nrCeGaRMjthw08+fmsG36venlH7J4Hp6l0C8VO7Jk3vws7q/Nm7/SN3+1vI/LK/3/y1O0mH5K53l9mzqVr1AyY2SLTilfnrCkVzsnlbsnktOqnY0W5U5qR+MUVjbRFBonn3IbHUTjIG+LlC+vPiaAifikagvobyIN7RCaQmO4Mjl2ogn6mybSMoX4ayLJKZLvs5GqmhgwYbFWtzemK1cQUzzKENnJphxAvxi9G30++l6lD5VC2OmcSLZUH4K+BpA3KBkoQzalUcmkavTNSg7lSrJQJCmmJxQpKatujFeaFKskSVYSUY9silkxRapt2glF/NmwU7lhIm6RsO+GiCWj+hnlOsVE6aA6BKosW/IzSjxVoomVdE7EJVYfbkxQOrHMTrjFpoj/rH+fvDqVoQgEQV+LkkeZmLtcyacM9K3K4kiGbeqEcrsk+zshBfrWRcwrRDeRmFQ91RiniL8HCCu3wuO3Sm2HJ4pWVVNjkVJCVYr4EwlNOQjooPjP4soooFGEaRShGUVoRmHFKBkR+RsxcyNoKpUrya+M0GG0+wCrEJkRgQePSWBpSfUxJVuxwhOWE/AdAzZnIi5JWGaNpKZJMutEQlJ1wzNKgLagcRgfnMiyVvtOKGVyKcsmrLmCwR+JS4DrsmKxAGOmiMEzSp6yWHoiX3og3GjDmFGyYiPGf8BPCe/wl/mPRXzFT/rI/h/1/kW9/2Gsj07xUxPQ4pzk/yz60415/A0I28VfpfsAcX6CP4+jxsZ/zieFFfxn/Bg1oH8F4z70x9CvQH88UvA92ySfnEAH2++JJGaKxfLnI45KHbAV6kBWrg6kZlY3FvLn+LOUBxE/Rb8U/bN8ipagP4nein6KB+l76J/gtbQW/VG9/w5/WuQ0f4o/iTPTxiciScKEcMQkuiMRo+i+FaHYqL3S9jT/Fn+cckD6zUhRDrCPTBQttSWfgDzGH+TBSL4ttTGe38+62LsgGqNXRE+p/IFInRByOPK0ZjvGD/PDTmuds9BZ7nxIqSqsKq96SNEKtXKtTntIa7TwW8kA52HD8ptwxfnMkT1oTrTD/MaIWhduPIs1iXVxOoTrmIR6cPVLiHC1zM6+I6EGfh1tQeOQcQDtINohtKtIxfVKtM+ifQ7t8xITRAuhjaB8+MHhB4cfHH7J4QeHHxx+cPglh19qD6EJjh5w9ICjBxw9kqMHHD3g6AFHj+QQ9vaAo0dytIOjHRzt4GiXHO3gaAdHOzjaJUc7ONrB0S45nOBwgsMJDqfkcILDCQ4nOJySwwkOJzickqMKHFXgqAJHleSoAkcVOKrAUSU5qsBRBY4qyaGBQwOHBg5Ncmjg0MChgUOTHBo4NHBoksMCDgs4LOCwSA4LOCzgsIDDIjksMj4hNMFxGhynwXEaHKclx2lwnAbHaXCclhynwXEaHKf5yLhyqvEFsJwCyymwnJIsp8ByCiynwHJKspwCyymwnNKXHpTO4EibA2gH0Q6hCd4p8E6Bdwq8U5J3SqZXCE3whsERBkcYHGHJEQZHGBxhcIQlRxgcYXCEJccYOMbAMQaOMckxBo4xcIyBY0xyjMnEDaEJjr89Kf/m0PCrWJcZhys/xEplf5Delv0BekX2n6dx2X+OHpL9Z+lq2V9JdbIfoSLZQ57sg2Qzs4itLrkxEyVgC9ouNB/afWhH0E6imST0EtpraFFe61yiJpu2mO4zHTGdNBmOmE6beLJxi/E+4xHjSaPhiPG0kWuNuTxR1lGUFvqivB7E9fdoOERwbZBQA6+B3hrU2Vq8a3iNM+WM9vsy9lIZO1nGjpSxL5axxjh+MVNlpcOdPofhrMuZULTO9gpaXVHxOlSmW598O8sWKVppm2RPx7pSpwP922jjaA+hXY1Wh1aNVo5WiGaTuDLQdzmX6CKfRitGK0DThArKzMTdTWqK2XmMJ7KHJl5IpDihp7gEfCcixVXoJiPFW9A9FSnutTXGsSepWNwGsScQucfRH4nYXsf0N2PdNyK2E+geidhq0O2MFFeguzRS/KKtMZFtJ5sqWDv1vgPrFv22iO0SkG2N2ErROSLFRYK6DIoKMVvKuuh19IU619KYJnvEthbdkohttaA2U7EIPDNSuTTPgCZ6ZQIG/f4Y61KZc5HtjO1229tg/x0ci/T4mTaponupcJJd4oy3PV3+VRA32iKN8YIe58O43odF/4TtocIbbfdAFit80na3rcJ2a/mkGehbYPeNUkXEdrU2yR93ptkO2apswfLXbQHbJ2wu2zbbzkLgI7bLbE8LM6mbdfHHn7S1Q+BGrKIwYru4cFKa2Grbb3Paim2rtaeFf2lVTG5d+dPCA1Qd074M/i0rnBQ5vr1ukqU4y0zvmA6bLjWtN6012U1LTItN+aZ0c6rZYk4yJ5jjzWaz0ayauZnM6eLnHRzizyvTjeKv18moiqsqYQsXVx77S1POzJw+QeE0pY23daxnbeEpN7X1auH3OuyTLH7rjrDBvp6FU9uorXN9eJWjbdIU3Rauc7SFTe2Xdo0zdms3sGF+wySjzq5JFhWo63LFD1GNM7rultxjxFj2dbd0d5M1c1+DtSF1Xcrq1ubzXHr0q2PuZZ0P5ofvauvoCj+W3x2uFkA0v7stfJX4mapjPJkntjQf40mi6+46pvp5css2gVf9zd0ge12SIZuTQEbFogOZeT1pggz1ZL0gQ4xidEVgB12B6EAXn0hFkq4oPlHSqUzQjb+itTSPa5qkKSR6RdK8UkjzaJAx4G0eLyqSVHaNdQkq1mXXpGGlUpDNBpJymyTBk5tNCrIxqSxcOUdSqJPUzpLUSl0Km6OxxWjSS2Zo0ktA4/gfvjzrHWxieejA8+KXv3rsLR60nvBN+/qt4UO9mjZ+IKT/JFhRT6+7X/QuTzhk9zSHD9ibtfHlz59n+nkxvdzePE7Pt3R2jT/v9DRHljuXt9hdzd0TDfVdjQt03Tirq6v+PMLqhbAuoauh8TzTjWK6QehqFLoaha4GZ4PU1eIVed/eNW6m9eJ3QWQ/wRfFI4d7cgu612da/OtEQh9bW2A9kHtcJfYILXJ0hxPs68OJaGKqvLG8UUxhn4mpJPHzbvqU9cDagtzj7BF9ygJ0in09zbiWBFFbuHZrW7igY0eXSJWw03X+mAXES05bqcXbjH8YB2XDez4lBc77Cp7vFQqFAuIScuApuS1c1tEWXrkVlphMUNXT3A1cxQxOUSRuPC6uZTI6hUkHjGBBoU5ADiZ+I8AZj6cuEx8zjpm4eFQITuTkV/uewQl+EA3PcXwkUimfl/nIxJJC8fwSnKisjfV4PhV9JKegWvwUQR1YRV8Y650p5QAOFx4uP1w3VjhWPlZnFD+08BCQtofEURqpfEihoCMw4wiAwW6K/XQB9N0fycuXiscE4HB0OwLyN17ow6526L8jA6fPOjagSw1I8cGZgMTwAYoRxyYdoRmmkM4iJ0OSRSr8P1jbNhMKZW5kc3RyZWFtCmVuZG9iagoKNiAwIG9iagoxMDgyNQplbmRvYmoKCjcgMCBvYmoKPDwvVHlwZS9Gb250RGVzY3JpcHRvci9Gb250TmFtZS9CQUFBQUErQXJpYWwtQm9sZE1UCi9GbGFncyA0Ci9Gb250QkJveFstNjI3IC0zNzYgMjAwMCAxMDExXS9JdGFsaWNBbmdsZSAwCi9Bc2NlbnQgOTA1Ci9EZXNjZW50IDIxMQovQ2FwSGVpZ2h0IDEwMTAKL1N0ZW1WIDgwCi9Gb250RmlsZTIgNSAwIFI+PgplbmRvYmoKCjggMCBvYmoKPDwvTGVuZ3RoIDI3Mi9GaWx0ZXIvRmxhdGVEZWNvZGU+PgpzdHJlYW0KeJxdkc9uhCAQxu88BcftYQNadbuJMdm62cRD/6S2D6AwWpKKBPHg2xcG2yY9QH7DzDf5ZmB1c220cuzVzqIFRwelpYVlXq0A2sOoNElSKpVwe4S3mDpDmNe22+JgavQwlyVhbz63OLvRw0XOPdwR9mIlWKVHevioWx+3qzFfMIF2lJOqohIG3+epM8/dBAxVx0b6tHLb0Uv+Ct43AzTFOIlWxCxhMZ0A2+kRSMl5RcvbrSKg5b9cskv6QXx21pcmvpTzLKs8p8inPPA9cnENnMX3c+AcOeWBC+Qc+RT7FIEfohb5HBm1l8h14MfIOZrc3QS7YZ8/a6BitdavAJeOs4eplYbffzGzCSo83zuVhO0KZW5kc3RyZWFtCmVuZG9iagoKOSAwIG9iago8PC9UeXBlL0ZvbnQvU3VidHlwZS9UcnVlVHlwZS9CYXNlRm9udC9CQUFBQUErQXJpYWwtQm9sZE1UCi9GaXJzdENoYXIgMAovTGFzdENoYXIgMTEKL1dpZHRoc1s3NTAgNzIyIDYxMCA4ODkgNTU2IDI3NyA2NjYgNjEwIDMzMyAyNzcgMjc3IDU1NiBdCi9Gb250RGVzY3JpcHRvciA3IDAgUgovVG9Vbmljb2RlIDggMCBSCj4+CmVuZG9iagoKMTAgMCBvYmoKPDwKL0YxIDkgMCBSCj4+CmVuZG9iagoKMTEgMCBvYmoKPDwvRm9udCAxMCAwIFIKL1Byb2NTZXRbL1BERi9UZXh0XT4+CmVuZG9iagoKMSAwIG9iago8PC9UeXBlL1BhZ2UvUGFyZW50IDQgMCBSL1Jlc291cmNlcyAxMSAwIFIvTWVkaWFCb3hbMCAwIDU5NSA4NDJdL0dyb3VwPDwvUy9UcmFuc3BhcmVuY3kvQ1MvRGV2aWNlUkdCL0kgdHJ1ZT4+L0NvbnRlbnRzIDIgMCBSPj4KZW5kb2JqCgoxMiAwIG9iago8PC9Db3VudCAxL0ZpcnN0IDEzIDAgUi9MYXN0IDEzIDAgUgo+PgplbmRvYmoKCjEzIDAgb2JqCjw8L1RpdGxlPEZFRkYwMDQ0MDA3NTAwNkQwMDZEMDA3OTAwMjAwMDUwMDA0NDAwNDYwMDIwMDA2NjAwNjkwMDZDMDA2NT4KL0Rlc3RbMSAwIFIvWFlaIDU2LjcgNzczLjMgMF0vUGFyZW50IDEyIDAgUj4+CmVuZG9iagoKNCAwIG9iago8PC9UeXBlL1BhZ2VzCi9SZXNvdXJjZXMgMTEgMCBSCi9NZWRpYUJveFsgMCAwIDU5NSA4NDIgXQovS2lkc1sgMSAwIFIgXQovQ291bnQgMT4+CmVuZG9iagoKMTQgMCBvYmoKPDwvVHlwZS9DYXRhbG9nL1BhZ2VzIDQgMCBSCi9PdXRsaW5lcyAxMiAwIFIKPj4KZW5kb2JqCgoxNSAwIG9iago8PC9BdXRob3I8RkVGRjAwNDUwMDc2MDA2MTAwNkUwMDY3MDA2NTAwNkMwMDZGMDA3MzAwMjAwMDU2MDA2QzAwNjEwMDYzMDA2ODAwNkYwMDY3MDA2OTAwNjEwMDZFMDA2RTAwNjkwMDczPgovQ3JlYXRvcjxGRUZGMDA1NzAwNzIwMDY5MDA3NDAwNjUwMDcyPgovUHJvZHVjZXI8RkVGRjAwNEYwMDcwMDA2NTAwNkUwMDRGMDA2NjAwNjYwMDY5MDA2MzAwNjUwMDJFMDA2RjAwNzIwMDY3MDAyMDAwMzIwMDJFMDAzMT4KL0NyZWF0aW9uRGF0ZShEOjIwMDcwMjIzMTc1NjM3KzAyJzAwJyk+PgplbmRvYmoKCnhyZWYKMCAxNgowMDAwMDAwMDAwIDY1NTM1IGYgCjAwMDAwMTE5OTcgMDAwMDAgbiAKMDAwMDAwMDAxOSAwMDAwMCBuIAowMDAwMDAwMjI0IDAwMDAwIG4gCjAwMDAwMTIzMzAgMDAwMDAgbiAKMDAwMDAwMDI0NCAwMDAwMCBuIAowMDAwMDExMTU0IDAwMDAwIG4gCjAwMDAwMTExNzYgMDAwMDAgbiAKMDAwMDAxMTM2OCAwMDAwMCBuIAowMDAwMDExNzA5IDAwMDAwIG4gCjAwMDAwMTE5MTAgMDAwMDAgbiAKMDAwMDAxMTk0MyAwMDAwMCBuIAowMDAwMDEyMTQwIDAwMDAwIG4gCjAwMDAwMTIxOTYgMDAwMDAgbiAKMDAwMDAxMjQyOSAwMDAwMCBuIAowMDAwMDEyNDk0IDAwMDAwIG4gCnRyYWlsZXIKPDwvU2l6ZSAxNi9Sb290IDE0IDAgUgovSW5mbyAxNSAwIFIKL0lEIFsgPEY3RDc3QjNEMjJCOUY5MjgyOUQ0OUZGNUQ3OEI4RjI4Pgo8RjdENzdCM0QyMkI5RjkyODI5RDQ5RkY1RDc4QjhGMjg+IF0KPj4Kc3RhcnR4cmVmCjEyNzg3CiUlRU9GCg==
-            media_type: application/pdf
-            type: base64
+            type: url
+            url: https://pdfobject.com/pdf/sample.pdf
           type: document
         role: user
       model: claude-3-5-sonnet-latest
@@ -313,17 +33,20 @@ interactions:
       connection:
       - keep-alive
       content-length:
-      - '473'
+      - '795'
       content-type:
       - application/json
       transfer-encoding:
       - chunked
     parsed_body:
       content:
-      - text: The document appears to be a simple PDF file with only the text "Dummy PDF file" displayed at the top. It seems
-          to be a blank or template document with minimal content.
+      - text: This document appears to be a sample PDF file that primarily contains Lorem ipsum text, which is placeholder
+          text commonly used in design and publishing. The document begins with "Sample PDF" and states "This is a simple
+          PDF file. Fun fun fun." followed by several paragraphs of Lorem ipsum text. The content doesn't convey any meaningful
+          information as Lorem ipsum is essentially dummy text used to demonstrate the visual form of a document without the
+          distraction of meaningful content.
         type: text
-      id: msg_015iWxGDNMRf8AGAdKbt4xQb
+      id: msg_0146LphUoRKNWvDULHuTfu4H
       model: claude-3-5-sonnet-20241022
       role: assistant
       stop_reason: end_turn
@@ -332,8 +55,8 @@ interactions:
       usage:
         cache_creation_input_tokens: 0
         cache_read_input_tokens: 0
-        input_tokens: 1615
-        output_tokens: 40
+        input_tokens: 2682
+        output_tokens: 96
     status:
       code: 200
       message: OK
diff --git a/tests/models/cassettes/test_anthropic/test_image_url_input.yaml b/tests/models/cassettes/test_anthropic/test_image_url_input.yaml
index 2d1eddbfc1..c5df024f08 100644
--- a/tests/models/cassettes/test_anthropic/test_image_url_input.yaml
+++ b/tests/models/cassettes/test_anthropic/test_image_url_input.yaml
@@ -1,603 +1,4 @@
 interactions:
-- request:
-    body: ''
-    headers:
-      accept:
-      - '*/*'
-      accept-encoding:
-      - gzip, deflate
-      connection:
-      - keep-alive
-      host:
-      - t3.ftcdn.net
-    method: GET
-    uri: https://t3.ftcdn.net/jpg/00/85/79/92/360_F_85799278_0BBGV9OAdQDTLnKwAPBCcg1J7QtiieJY.jpg
-  response:
-    body:
-      string: !!binary |
-        /9j/4AAQSkZJRgABAQEBLAEsAAD/4QBWRXhpZgAATU0AKgAAAAgABAEaAAUAAAABAAAAPgEbAAUA
-        AAABAAAARgEoAAMAAAABAAIAAAITAAMAAAABAAEAAAAAAAAAAAEsAAAAAQAAASwAAAAB/+0ALFBo
-        b3Rvc2hvcCAzLjAAOEJJTQQEAAAAAAAPHAFaAAMbJUccAQAAAgAEAP/hDIFodHRwOi8vbnMuYWRv
-        YmUuY29tL3hhcC8xLjAvADw/eHBhY2tldCBiZWdpbj0n77u/JyBpZD0nVzVNME1wQ2VoaUh6cmVT
-        ek5UY3prYzlkJz8+Cjx4OnhtcG1ldGEgeG1sbnM6eD0nYWRvYmU6bnM6bWV0YS8nIHg6eG1wdGs9
-        J0ltYWdlOjpFeGlmVG9vbCAxMC4xMCc+CjxyZGY6UkRGIHhtbG5zOnJkZj0naHR0cDovL3d3dy53
-        My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyc+CgogPHJkZjpEZXNjcmlwdGlvbiByZGY6
-        YWJvdXQ9JycKICB4bWxuczp0aWZmPSdodHRwOi8vbnMuYWRvYmUuY29tL3RpZmYvMS4wLyc+CiAg
-        PHRpZmY6UmVzb2x1dGlvblVuaXQ+MjwvdGlmZjpSZXNvbHV0aW9uVW5pdD4KICA8dGlmZjpYUmVz
-        b2x1dGlvbj4zMDAvMTwvdGlmZjpYUmVzb2x1dGlvbj4KICA8dGlmZjpZUmVzb2x1dGlvbj4zMDAv
-        MTwvdGlmZjpZUmVzb2x1dGlvbj4KIDwvcmRmOkRlc2NyaXB0aW9uPgoKIDxyZGY6RGVzY3JpcHRp
-        b24gcmRmOmFib3V0PScnCiAgeG1sbnM6eG1wTU09J2h0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEu
-        MC9tbS8nPgogIDx4bXBNTTpEb2N1bWVudElEPmFkb2JlOmRvY2lkOnN0b2NrOmVmNTcyZTAyLTA4
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-        dGFuY2VJRD54bXAuaWlkOjE3ODBmZTgxLWI1OTQtNDdlZS04ZmJiLTNhODRiM2FjYzcyODwveG1w
-        TU06SW5zdGFuY2VJRD4KIDwvcmRmOkRlc2NyaXB0aW9uPgo8L3JkZjpSREY+CjwveDp4bXBtZXRh
-        PgogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
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-        ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAg
-        ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
-        ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAg
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-      strict-transport-security:
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-      message: OK
 - request:
     headers:
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       connection:
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       content-length:
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+      - '296'
       content-type:
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       host:
@@ -620,9 +21,8 @@ interactions:
         - text: What is this vegetable?
           type: text
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
-            media_type: image/jpeg
-            type: base64
+            type: url
+            url: https://t3.ftcdn.net/jpg/00/85/79/92/360_F_85799278_0BBGV9OAdQDTLnKwAPBCcg1J7QtiieJY.jpg
           type: image
         role: user
       model: claude-3-5-haiku-latest
@@ -633,19 +33,19 @@ interactions:
       connection:
       - keep-alive
       content-length:
-      - '863'
+      - '660'
       content-type:
       - application/json
       transfer-encoding:
       - chunked
     parsed_body:
       content:
-      - text: |-
-          This is a potato. It's a yellow-skinned potato with a somewhat oblong or oval shape. The surface is covered in small eyes or dimples, which is typical of potato skin. The color is a golden-yellow, and the potato appears to be clean and fresh, photographed against a white background.
-
-          Potatoes are root vegetables that are staple foods in many cuisines around the world. They can be prepared in numerous ways such as boiling, baking, roasting, frying, or mashing. This particular potato looks like it could be a Yukon Gold or a similar yellow-fleshed variety.
+      - text: This is a potato. It's a yellow-brown, oblong-shaped potato with a smooth skin and some small eyes or blemishes
+          visible on its surface. Potatoes are starchy root vegetables that are a staple food in many cuisines around the
+          world. They can be prepared in numerous ways, such as boiling, baking, frying, or mashing, and are rich in carbohydrates
+          and nutrients.
         type: text
-      id: msg_01X7nSWqNw2c5heURqSGWpv5
+      id: msg_01WCNHqrhEGCXhoC4G1ojDHN
       model: claude-3-5-haiku-20241022
       role: assistant
       stop_reason: end_turn
@@ -655,7 +55,7 @@ interactions:
         cache_creation_input_tokens: 0
         cache_read_input_tokens: 0
         input_tokens: 296
-        output_tokens: 136
+        output_tokens: 93
     status:
       code: 200
       message: OK
diff --git a/tests/models/test_anthropic.py b/tests/models/test_anthropic.py
index 13bbfb600b..f3c7b32f2f 100644
--- a/tests/models/test_anthropic.py
+++ b/tests/models/test_anthropic.py
@@ -566,11 +566,9 @@ async def test_image_url_input(allow_model_requests: None, anthropic_api_key: st
             ImageUrl(url='https://t3.ftcdn.net/jpg/00/85/79/92/360_F_85799278_0BBGV9OAdQDTLnKwAPBCcg1J7QtiieJY.jpg'),
         ]
     )
-    assert result.data == snapshot("""\
-This is a potato. It's a yellow-skinned potato with a somewhat oblong or oval shape. The surface is covered in small eyes or dimples, which is typical of potato skin. The color is a golden-yellow, and the potato appears to be clean and fresh, photographed against a white background.
-
-Potatoes are root vegetables that are staple foods in many cuisines around the world. They can be prepared in numerous ways such as boiling, baking, roasting, frying, or mashing. This particular potato looks like it could be a Yukon Gold or a similar yellow-fleshed variety.\
-""")
+    assert result.data == snapshot(
+        "This is a potato. It's a yellow-brown, oblong-shaped potato with a smooth skin and some small eyes or blemishes visible on its surface. Potatoes are starchy root vegetables that are a staple food in many cuisines around the world. They can be prepared in numerous ways, such as boiling, baking, frying, or mashing, and are rich in carbohydrates and nutrients."
+    )
 
 
 @pytest.mark.vcr()
@@ -639,11 +637,11 @@ async def test_document_url_input(allow_model_requests: None, anthropic_api_key:
     m = AnthropicModel('claude-3-5-sonnet-latest', provider=AnthropicProvider(api_key=anthropic_api_key))
     agent = Agent(m)
 
-    document_url = DocumentUrl(url='https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf')
+    document_url = DocumentUrl(url='https://pdfobject.com/pdf/sample.pdf')
 
     result = await agent.run(['What is the main content on this document?', document_url])
     assert result.data == snapshot(
-        'The document appears to be a simple PDF file with only the text "Dummy PDF file" displayed at the top. It seems to be a blank or template document with minimal content.'
+        'This document appears to be a sample PDF file that primarily contains Lorem ipsum text, which is placeholder text commonly used in design and publishing. The document begins with "Sample PDF" and states "This is a simple PDF file. Fun fun fun." followed by several paragraphs of Lorem ipsum text. The content doesn\'t convey any meaningful information as Lorem ipsum is essentially dummy text used to demonstrate the visual form of a document without the distraction of meaningful content.'
     )