From 66a1df2690406a4bc35f0708abe12b78a515c3b2 Mon Sep 17 00:00:00 2001
From: "fern-api[bot]" <115122769+fern-api[bot]@users.noreply.github.com>
Date: Tue, 20 Oct 2026 21:30:08 +0000
Subject: [PATCH 1/2] [fern-generated] Update SDK

Generated by Fern
CLI Version: unknown
Generators:
  - fernapi/fern-python-sdk: 5.39.3
---
 .fern/metadata.json                           |    8 +-
 poetry.lock                                   | 1779 ++++++++++-------
 pyproject.toml                                |    7 +-
 reference.md                                  |   31 +-
 src/cohere/__init__.py                        |    9 +
 src/cohere/base_client.py                     |   14 +-
 src/cohere/core/client_wrapper.py             |   11 +-
 src/cohere/core/http_client.py                |   81 +-
 src/cohere/core/pydantic_utilities.py         |    4 +-
 src/cohere/core/request_options.py            |    3 +
 src/cohere/core/unchecked_base_model.py       |    4 +
 src/cohere/types/__init__.py                  |    9 +
 .../types/rerank_relevant_span_response.py    |   36 +
 src/cohere/types/rerank_relevant_spans.py     |   37 +
 .../types/rerank_relevant_spans_mode.py       |    5 +
 src/cohere/v2/client.py                       |   47 +-
 src/cohere/v2/raw_client.py                   |   21 +-
 .../types/v2rerank_response_results_item.py   |    6 +
 18 files changed, 1270 insertions(+), 842 deletions(-)
 create mode 100644 src/cohere/types/rerank_relevant_span_response.py
 create mode 100644 src/cohere/types/rerank_relevant_spans.py
 create mode 100644 src/cohere/types/rerank_relevant_spans_mode.py

diff --git a/.fern/metadata.json b/.fern/metadata.json
index a06806e54..d390b40cf 100644
--- a/.fern/metadata.json
+++ b/.fern/metadata.json
@@ -1,7 +1,7 @@
 {
   "cliVersion": "5.55.0",
   "generatorName": "fernapi/fern-python-sdk",
-  "generatorVersion": "5.29.3",
+  "generatorVersion": "5.39.3",
   "generatorConfig": {
     "tcp_keepalive": {
       "enabled": true,
@@ -100,10 +100,10 @@
       }
     ]
   },
-  "originGitCommit": "2bfdfa67e2f98426451cf784a8f798e6c9272b9b",
+  "originGitCommit": "90d3d3227088a6b843724a54b8779bab1aa6787e",
   "originGitCommitIsDirty": false,
   "invokedBy": "ci",
-  "requestedVersion": "7.2.0",
+  "requestedVersion": "7.3.0",
   "ciProvider": "github",
-  "sdkVersion": "7.2.0"
+  "sdkVersion": "7.3.0"
 }
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
index 2d9d4c21a..986b738c6 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -15,132 +15,174 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.14.3"
+version = "3.14.5"
 description = "Async http client/server framework (asyncio)"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "extra == \"aiohttp\" or extra == \"oci\""
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+    {file = "aiohttp-3.14.5.tar.gz", hash = "sha256:5558a7f5a05af9ecf744af91e5baefc436f93c9333e656c27ec253f9a6bbe178"},
 ]
 
 [package.dependencies]
@@ -149,10 +191,10 @@ aiosignal = ">=1.4.0"
 async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
-multidict = ">=4.5,<7.0"
+multidict = ">=4.5,<8.0"
 propcache = ">=0.2.0"
 typing_extensions = {version = ">=4.4", markers = "python_version < \"3.13\""}
-yarl = ">=1.17.0,<2.0"
+yarl = ">=1.25.1,<2.0"
 
 [package.extras]
 speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\" and sys_platform != \"android\" and sys_platform != \"ios\"", "aiodns (>=3.3.0) ; sys_platform != \"android\" and sys_platform != \"ios\"", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\" and sys_platform != \"android\" and sys_platform != \"ios\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""]
@@ -206,6 +248,19 @@ typing_extensions = {version = ">=4.16.0", markers = "python_version < \"3.15\""
 [package.extras]
 trio = ["trio (>=0.32.0)"]
 
+[[package]]
+name = "asn1crypto"
+version = "1.5.1"
+description = "Fast ASN.1 parser and serializer with definitions for private keys, public keys, certificates, CRL, OCSP, CMS, PKCS#3, PKCS#7, PKCS#8, PKCS#12, PKCS#5, X.509 and TSP"
+optional = true
+python-versions = "*"
+groups = ["main"]
+markers = "extra == \"oci\""
+files = [
+    {file = "asn1crypto-1.5.1-py2.py3-none-any.whl", hash = "sha256:db4e40728b728508912cbb3d44f19ce188f218e9eba635821bb4b68564f8fd67"},
+    {file = "asn1crypto-1.5.1.tar.gz", hash = "sha256:13ae38502be632115abf8a24cbe5f4da52e3b5231990aff31123c805306ccb9c"},
+]
+
 [[package]]
 name = "async-timeout"
 version = "5.0.1"
@@ -247,14 +302,14 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2026.7.22"
+version = "2026.10.19"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
-    {file = "certifi-2026.7.22-py3-none-any.whl", hash = "sha256:62f22742b58a1a33014a2b6b706588a8d7e2a88ae7bd1a6ebe8c992928483775"},
-    {file = "certifi-2026.7.22.tar.gz", hash = "sha256:741e2c3b351ddf169a738da9f2c048608ff7f2c5cc02f1ebc6b118bb090d5d55"},
+    {file = "certifi-2026.10.19-py3-none-any.whl", hash = "sha256:42d35340cc5b9ba78e818ddbff0c5b1c2b779de448a340fd1b989f5fa8670e1b"},
+    {file = "certifi-2026.10.19.tar.gz", hash = "sha256:035c1e85572b141bf1c3a3eff0e33a8eb74917522f2559075ff8d2fea780a1ae"},
 ]
 
 [[package]]
@@ -373,184 +428,184 @@ pycparser = {version = "*", markers = "implementation_name != \"PyPy\""}
 
 [[package]]
 name = "charset-normalizer"
-version = "3.5.1"
+version = "3.5.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
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 [[package]]
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@@ -1112,6 +1180,29 @@ http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 trio = ["trio (>=0.22.0,<1.0)"]
 
+[[package]]
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+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "sys_platform != \"emscripten\""
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+
+[package.dependencies]
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+truststore = ">=0.10"
+
+[package.extras]
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+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.34.0,<1.0)"]
+
 [[package]]
 name = "httpx"
 version = "0.28.1"
@@ -1154,24 +1245,65 @@ files = [
 aiohttp = ">=3.10.0,<4"
 httpx = ">=0.27.0"
 
+[[package]]
+name = "httpx2"
+version = "2.14.0"
+description = "The next generation HTTP client."
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "httpx2-2.14.0-py3-none-any.whl", hash = "sha256:9d20c13a10bae1773a0be3b0f1e5beeb4bdd549bc3a2ba18efa32897c65403e4"},
+    {file = "httpx2-2.14.0.tar.gz", hash = "sha256:47ad61a3c40282cd8d0dc96311531f00f5bfc71a066c6fe3b36d8f63fb9e4f6e"},
+]
+
+[package.dependencies]
+anyio = {version = ">=4.10", markers = "sys_platform != \"emscripten\""}
+httpcore2 = {version = "2.14.0", markers = "sys_platform != \"emscripten\""}
+httpx2-jsfetch = {version = "*", markers = "sys_platform == \"emscripten\" and python_version >= \"3.12\""}
+idna = ">=3.18"
+truststore = {version = ">=0.10", markers = "sys_platform != \"emscripten\""}
+typing-extensions = {version = ">=4.5.0", markers = "python_version < \"3.13\""}
+
+[package.extras]
+brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.2) ; platform_python_implementation != \"CPython\""]
+cli = ["click (>=8.4.2)", "pygments (==2.*)", "rich (>=10,<16)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+ws = ["wsproto (>=1.2)"]
+zstd = ["backports-zstd (>=1.0.0) ; python_version <= \"3.13\""]
+
+[[package]]
+name = "httpx2-jsfetch"
+version = "1.0"
+description = "httpx2 transports for Emscripten/Pyodide, backed by the JavaScript fetch API."
+optional = false
+python-versions = ">=3.12"
+groups = ["main"]
+markers = "sys_platform == \"emscripten\" and python_version >= \"3.12\""
+files = [
+    {file = "httpx2_jsfetch-1.0-py3-none-any.whl", hash = "sha256:cb916b707601e69a07721aabc8f3f6659be3a6893bc1ff5c6f9e02241df2da32"},
+    {file = "httpx2_jsfetch-1.0.tar.gz", hash = "sha256:70a0e3eabfef7cce5ad9c629f7d01ca05e418f586646f4ddf14782e4c1454c60"},
+]
+
 [[package]]
 name = "huggingface-hub"
-version = "1.33.0"
+version = "2.2.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.10.0"
 groups = ["main"]
 files = [
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+    {file = "huggingface_hub-2.2.0-py3-none-any.whl", hash = "sha256:1667f145dc56dc210d60966069397df9ecfca9607a5d43db88b308c89dae56b3"},
+    {file = "huggingface_hub-2.2.0.tar.gz", hash = "sha256:5d1b47537394e4215cb858aa12fd493d0f7ef7f58990f5dcd24bc173107b2871"},
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 click = ">=8.4.2,<9.0.0"
 filelock = ">=3.10.0"
 fsspec = ">=2023.5.0"
-hf-xet = {version = ">=1.6.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
-httpx = ">=0.23.0,<1"
+hf-xet = {version = ">=1.6.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"ARM64\" or platform_machine == \"aarch64\""}
+httpx2 = ">=2.0.0,<3"
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
@@ -1179,15 +1311,15 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=4.1.0"
 
 [package.extras]
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-dev = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "duckdb", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (>=16.2)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["Jinja2", "Pillow", "authlib (>=1.8.0)", "duckdb", "fastapi", "fastapi", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (>=16.2)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["Jinja2", "Pillow", "authlib (>=1.8.0)", "duckdb", "fastapi", "fastapi", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (>=16.2)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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 gradio = ["gradio (>=5.0.0)", "requests"]
 hf-xet = ["hf-xet (>=1.6.0,<2.0.0)"]
 mcp = ["mcp (>=1.9.4,<2.0.0)"]
-oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
+oauth = ["authlib (>=1.8.0)", "fastapi", "itsdangerous"]
 quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "ruff (>=0.9.0)", "ty"]
-testing = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "duckdb", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (>=16.2)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["Jinja2", "Pillow", "authlib (>=1.8.0)", "duckdb", "fastapi", "fastapi", "itsdangerous", "jedi", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (>=16.2)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -1208,196 +1340,196 @@ all = ["coverage (>=7.10.0)", "hypothesis (>=6.141.1)", "mypy (>=1.11.2)", "pyte
 
 [[package]]
 name = "iniconfig"
-version = "2.3.0"
+version = "2.3.1"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.10"
 groups = ["dev"]
 files = [
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 ]
 
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 description = "multidict implementation"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "extra == \"aiohttp\" or extra == \"oci\""
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 [package.dependencies]
@@ -1471,15 +1603,15 @@ files = [
 
 [[package]]
 name = "oci"
-version = "2.187.0"
+version = "2.189.0"
 description = "Oracle Cloud Infrastructure Python SDK"
 optional = true
 python-versions = "*"
 groups = ["main"]
 markers = "extra == \"oci\""
 files = [
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 [package.dependencies]
@@ -1488,11 +1620,12 @@ certifi = "*"
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-PyJWT = {version = ">=2.12.0", markers = "python_version >= \"3.9\""}
+PyJWT = {version = ">=2.15.1", markers = "python_version >= \"3.9\""}
 pyOpenSSL = {version = ">=26.2.0,<27.0.0", markers = "python_version >= \"3.8\""}
 python-dateutil = ">=2.5.3,<3.0.0"
+python-pkcs11 = {version = "0.9.4", markers = "python_version >= \"3.9\""}
 pytz = ">=2016.10"
-urllib3 = {version = ">=2.6.3", markers = "python_version >= \"3.10.0\""}
+urllib3 = {version = ">=2.8.0", markers = "python_version >= \"3.10.0\""}
 
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@@ -1511,20 +1644,16 @@ files = [
 
 [[package]]
 name = "pluggy"
-version = "1.6.0"
+version = "1.7.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["dev"]
 files = [
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-[package.extras]
-dev = ["pre-commit", "tox"]
-testing = ["coverage", "pytest", "pytest-benchmark"]
-
 [[package]]
 name = "propcache"
 version = "0.5.4"
@@ -1676,171 +1805,188 @@ files = [
 
 [[package]]
 name = "pycparser"
-version = "3.0"
+version = "3.11"
 description = "C parser in Python"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
 markers = "extra == \"oci\" and platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\""
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+version = "2.14.1"
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-python-versions = ">=3.9"
+python-versions = ">=3.10"
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-typing-inspection = ">=0.4.2"
+pydantic-core = "2.50.1"
+typing-extensions = ">=4.16.0"
+typing-inspection = ">=0.4.4"
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
-timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
+timezone = ["tzdata ; platform_system == \"Windows\""]
 
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-version = "2.46.5"
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 [package.dependencies]
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 [package.extras]
 dev = ["tokenizers[testing]"]
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+    {file = "tomli-2.5.0-py3-none-any.whl", hash = "sha256:32a7b79ac57a2e83670ce329ccf675798bc5a2094783a63676866b70503f2e2b"},
+    {file = "tomli-2.5.0.tar.gz", hash = "sha256:264507556cd8b8c8e7c6ee037cdf443a463f03f4c958e57195e3d369711b8ff6"},
 ]
 
 [[package]]
@@ -2252,6 +2474,19 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["envwrap", "slack-sdk"]
 telegram = ["envwrap", "requests"]
 
+[[package]]
+name = "truststore"
+version = "0.10.5"
+description = "Verify certificates using native system trust stores"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "sys_platform != \"emscripten\""
+files = [
+    {file = "truststore-0.10.5-py3-none-any.whl", hash = "sha256:9aaaedaefaf06d8b206278cf8b5012bc897f485a874503501e12d776df78951c"},
+    {file = "truststore-0.10.5.tar.gz", hash = "sha256:30d36967ccaded5cbb38d602c433f53600036c79d502f4533a49b60a03bbefcd"},
+]
+
 [[package]]
 name = "types-python-dateutil"
 version = "2.9.0.20260807"
@@ -2266,14 +2501,14 @@ files = [
 
 [[package]]
 name = "types-requests"
-version = "2.33.0.20260906"
+version = "2.33.0.20261006"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
-    {file = "types_requests-2.33.0.20260906-py3-none-any.whl", hash = "sha256:9f53622652bd921ead7a54d665be1b8d518165c8b51cc9d68d944cd6b6bfa8fb"},
-    {file = "types_requests-2.33.0.20260906.tar.gz", hash = "sha256:76ab8a0fb736744a0c3deee7aa57b2927e301f078d9e61f5391b3e92002416b9"},
+    {file = "types_requests-2.33.0.20261006-py3-none-any.whl", hash = "sha256:26cc8146505cab33cda9737991929e4144c559bebe05078ccc6998f27c4ca2c1"},
+    {file = "types_requests-2.33.0.20261006.tar.gz", hash = "sha256:0652999e9306aea345f40732d58fa49a7f6cade6a0d74d92119c5c8d82eddaf0"},
 ]
 
 [package.dependencies]
diff --git a/pyproject.toml b/pyproject.toml
index 7a97f2739..8137f2b6b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,10 +1,12 @@
 [project]
 name = "cohere"
 dynamic = ["version"]
+license = "MIT"
+license-files = ["LICENSE"]
 
 [tool.poetry]
 name = "cohere"
-version = "7.2.0"
+version = "7.3.0"
 description = ""
 readme = "README.md"
 authors = []
@@ -26,8 +28,7 @@ classifiers = [
     "Operating System :: POSIX :: Linux",
     "Operating System :: Microsoft :: Windows",
     "Topic :: Software Development :: Libraries :: Python Modules",
-    "Typing :: Typed",
-    "License :: OSI Approved :: MIT License"
+    "Typing :: Typed"
 ]
 packages = [
     { include = "cohere", from = "src"}
diff --git a/reference.md b/reference.md
index 7f1761209..c776dc782 100644
--- a/reference.md
+++ b/reference.md
@@ -1510,8 +1510,8 @@ client.embed(
         "hello",
         "goodbye"
     ],
-    model="embed-v4.0",
-    input_type="classification",
+    model="embed-v5.0-fast",
+    input_type="search_document",
 )
 
 ```
@@ -3025,8 +3025,8 @@ client.v2.embed(
         "hello",
         "goodbye"
     ],
-    model="embed-v4.0",
-    input_type="classification",
+    model="embed-v5.0-fast",
+    input_type="search_document",
     embedding_types=[
         "float"
     ],
@@ -3107,7 +3107,7 @@ For **Embed v4.0 and newer** models, there is no limit on the number of images p
 **output_dimension:** `typing.Optional[int]` 
 
 The number of dimensions of the output embedding. This is only available for `embed-v4` and newer models.
-Possible values are `256`, `512`, `1024`, and `1536`. The default is `1536`.
+For supported dimensions, please refer to the [Embed models](https://docs.cohere.com/docs/cohere-embed) page.
     
 </dd>
 </dl>
@@ -3193,7 +3193,7 @@ This endpoint takes in a query and a list of texts and produces an ordered array
 <dd>
 
 ```python
-from cohere import Client
+from cohere import Client, RerankRelevantSpans
 from cohere.environment import ClientEnvironment
 
 client = Client(
@@ -3202,16 +3202,21 @@ client = Client(
 )
 
 client.v2.rerank(
-    model="rerank-v4.0-pro",
+    model="rerank-v5.0-pro",
     query="What is the capital of the United States?",
     documents=[
         "Carson City is the capital city of the American state of Nevada.",
         "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean. Its capital is Saipan.",
         "Capitalization or capitalisation in English grammar is the use of a capital letter at the start of a word. English usage varies from capitalization in other languages.",
         "Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) is the capital of the United States. It is a federal district.",
-        "Capital punishment has existed in the United States since beforethe United States was a country. As of 2017, capital punishment is legal in 30 of the 50 states."
+        "Capital gains are profits from the sale of an asset such as stocks or real estate. In the United States, long-term capital gains are taxed at lower rates than ordinary income."
     ],
     top_n=3,
+    relevant_spans=RerankRelevantSpans(
+        mode="enabled",
+        threshold=0.1,
+        max_spans=3,
+    ),
 )
 
 ```
@@ -3228,7 +3233,7 @@ client.v2.rerank(
 <dl>
 <dd>
 
-**model:** `str` — The identifier of the model to use, eg `rerank-v3.5`.
+**model:** `str` — The identifier of the model to use, eg `rerank-v5.0-pro`.
     
 </dd>
 </dl>
@@ -3275,6 +3280,14 @@ For optimal performance we recommend against sending more than 1,000 documents i
 <dl>
 <dd>
 
+**relevant_spans:** `typing.Optional[RerankRelevantSpans]` 
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **priority:** `typing.Optional[int]` — Controls how early the request is handled. Lower numbers indicate higher priority (default: 0, the highest). When the system is under load, higher-priority requests are processed first and are the least likely to be dropped.
     
 </dd>
diff --git a/src/cohere/__init__.py b/src/cohere/__init__.py
index 8ecb49bb6..a20865423 100644
--- a/src/cohere/__init__.py
+++ b/src/cohere/__init__.py
@@ -196,6 +196,9 @@
         ParseTextBlock,
         ParseTextContentBlock,
         RerankDocument,
+        RerankRelevantSpanResponse,
+        RerankRelevantSpans,
+        RerankRelevantSpansMode,
         RerankRequestDocumentsItem,
         RerankResponse,
         RerankResponseResultsItem,
@@ -572,6 +575,9 @@
     "ParseTextBlock": ".types",
     "ParseTextContentBlock": ".types",
     "RerankDocument": ".types",
+    "RerankRelevantSpanResponse": ".types",
+    "RerankRelevantSpans": ".types",
+    "RerankRelevantSpansMode": ".types",
     "RerankRequestDocumentsItem": ".types",
     "RerankResponse": ".types",
     "RerankResponseResultsItem": ".types",
@@ -934,6 +940,9 @@ def __dir__():
     "ParseTextBlock",
     "ParseTextContentBlock",
     "RerankDocument",
+    "RerankRelevantSpanResponse",
+    "RerankRelevantSpans",
+    "RerankRelevantSpansMode",
     "RerankRequestDocumentsItem",
     "RerankResponse",
     "RerankResponseResultsItem",
diff --git a/src/cohere/base_client.py b/src/cohere/base_client.py
index f9c4b430e..8bed911d9 100644
--- a/src/cohere/base_client.py
+++ b/src/cohere/base_client.py
@@ -123,7 +123,7 @@ def __init__(
         base_url: typing.Optional[str] = None,
         environment: ClientEnvironment = ClientEnvironment.PRODUCTION,
         client_name: typing.Optional[str] = None,
-        token: typing.Optional[typing.Union[str, typing.Callable[[], str]]] = os.getenv("CO_API_KEY"),
+        token: typing.Optional[typing.Union[str, typing.Callable[[], str]]] = None,
         headers: typing.Optional[typing.Dict[str, str]] = None,
         timeout: typing.Optional[float] = None,
         max_retries: typing.Optional[int] = None,
@@ -135,6 +135,7 @@ def __init__(
     ):
         _defaulted_timeout = timeout if timeout is not None else 300 if httpx_client is None else None
         _defaulted_max_retries = max_retries if max_retries is not None else 2
+        token = token if token is not None else os.getenv("CO_API_KEY")
         if token is None:
             raise ApiError(body="The client must be instantiated be either passing in token or setting CO_API_KEY")
         self._client_wrapper = SyncClientWrapper(
@@ -1147,8 +1148,8 @@ def embed(
         )
         client.embed(
             texts=["hello", "goodbye"],
-            model="embed-v4.0",
-            input_type="classification",
+            model="embed-v5.0-fast",
+            input_type="search_document",
         )
         """
         _response = self._raw_client.embed(
@@ -1691,7 +1692,7 @@ def __init__(
         base_url: typing.Optional[str] = None,
         environment: ClientEnvironment = ClientEnvironment.PRODUCTION,
         client_name: typing.Optional[str] = None,
-        token: typing.Optional[typing.Union[str, typing.Callable[[], str]]] = os.getenv("CO_API_KEY"),
+        token: typing.Optional[typing.Union[str, typing.Callable[[], str]]] = None,
         headers: typing.Optional[typing.Dict[str, str]] = None,
         async_token: typing.Optional[typing.Callable[[], typing.Awaitable[str]]] = None,
         timeout: typing.Optional[float] = None,
@@ -1704,6 +1705,7 @@ def __init__(
     ):
         _defaulted_timeout = timeout if timeout is not None else 300 if httpx_client is None else None
         _defaulted_max_retries = max_retries if max_retries is not None else 2
+        token = token if token is not None else os.getenv("CO_API_KEY")
         if token is None:
             raise ApiError(body="The client must be instantiated be either passing in token or setting CO_API_KEY")
         self._client_wrapper = AsyncClientWrapper(
@@ -2747,8 +2749,8 @@ async def embed(
         async def main() -> None:
             await client.embed(
                 texts=["hello", "goodbye"],
-                model="embed-v4.0",
-                input_type="classification",
+                model="embed-v5.0-fast",
+                input_type="search_document",
             )
 
 
diff --git a/src/cohere/core/client_wrapper.py b/src/cohere/core/client_wrapper.py
index c8c4a129a..b6153a09d 100644
--- a/src/cohere/core/client_wrapper.py
+++ b/src/cohere/core/client_wrapper.py
@@ -31,21 +31,22 @@ def __init__(
         self._max_stream_reconnection_attempts = max_stream_reconnection_attempts
         self._logging = logging
 
-    def get_headers(self) -> typing.Dict[str, str]:
+    def get_headers(self, *, include_token: bool = True) -> typing.Dict[str, str]:
         import platform
 
         headers: typing.Dict[str, str] = {
-            "User-Agent": "cohere/7.2.0",
+            "User-Agent": "cohere/7.3.0",
             "X-Fern-Language": "Python",
             "X-Fern-Runtime": f"python/{platform.python_version()}",
             "X-Fern-Platform": f"{platform.system().lower()}/{platform.release()}",
             "X-Fern-SDK-Name": "cohere",
-            "X-Fern-SDK-Version": "7.2.0",
+            "X-Fern-SDK-Version": "7.3.0",
             **(self.get_custom_headers() or {}),
         }
         if self._client_name is not None:
             headers["X-Client-Name"] = self._client_name
-        headers["Authorization"] = f"Bearer {self._get_token()}"
+        if include_token:
+            headers["Authorization"] = f"Bearer {self._get_token()}"
         return headers
 
     def _get_token(self) -> str:
@@ -148,7 +149,7 @@ def __init__(
         )
 
     async def async_get_headers(self) -> typing.Dict[str, str]:
-        headers = self.get_headers()
+        headers = self.get_headers(include_token=self._async_token is None)
         if self._async_token is not None:
             token = await self._async_token()
             headers["Authorization"] = f"Bearer {token}"
diff --git a/src/cohere/core/http_client.py b/src/cohere/core/http_client.py
index 3e5a78650..b6f2ef2ab 100644
--- a/src/cohere/core/http_client.py
+++ b/src/cohere/core/http_client.py
@@ -184,8 +184,33 @@ def _should_retry(response: httpx.Response) -> bool:
 )
 
 
+_AUTH_HEADERS: typing.FrozenSet[str] = frozenset()
+
+
 def _redact_headers(headers: typing.Dict[str, str]) -> typing.Dict[str, str]:
-    return {k: ("[REDACTED]" if k.lower() in _SENSITIVE_HEADERS else v) for k, v in headers.items()}
+    return {
+        k: ("[REDACTED]" if k.lower() in _SENSITIVE_HEADERS or k.lower() in _AUTH_HEADERS else v)
+        for k, v in headers.items()
+    }
+
+
+def _merge_headers(*header_dicts: typing.Optional[typing.Dict[str, typing.Any]]) -> typing.Dict[str, typing.Any]:
+    """
+    Merge header dicts left to right. Header names are case-insensitive, so a later
+    `x-api-key` replaces an earlier `X-API-Key` instead of producing two headers.
+    """
+    merged: typing.Dict[str, typing.Any] = {}
+    keys_by_lower: typing.Dict[str, str] = {}
+    for header_dict in header_dicts:
+        if not header_dict:
+            continue
+        for key, value in header_dict.items():
+            existing_key = keys_by_lower.get(key.lower())
+            if existing_key is not None:
+                del merged[existing_key]
+            keys_by_lower[key.lower()] = key
+            merged[key] = value
+    return merged
 
 
 def _build_url(base_url: str, path: typing.Optional[str]) -> str:
@@ -425,11 +450,11 @@ def request(
         _request_url = _build_url(base_url, path)
         _request_headers = jsonable_encoder(
             remove_none_from_dict(
-                {
-                    **self.base_headers(),
-                    **(headers if headers is not None else {}),
-                    **(request_options.get("additional_headers", {}) or {} if request_options is not None else {}),
-                }
+                _merge_headers(
+                    self.base_headers(),
+                    headers,
+                    request_options.get("additional_headers") if request_options is not None else None,
+                )
             )
         )
         _request_headers = drop_content_type_without_body(
@@ -463,7 +488,12 @@ def request(
                 files=request_files,
                 timeout=timeout,
             )
-        except (httpx.ConnectError, httpx.RemoteProtocolError):
+        except (httpx.ConnectError, httpx.RemoteProtocolError) as error:
+            # A protocol error may occur after the server applied the request, even while reading a 200 body.
+            if isinstance(error, httpx.RemoteProtocolError) and not (
+                request_options is not None and request_options.get("retry_remote_protocol_errors", False)
+            ):
+                raise
             if retries < max_retries:
                 time.sleep(_retry_timeout_from_retries(retries=retries))
                 return self.request(
@@ -594,11 +624,11 @@ def stream(
         _request_url = _build_url(base_url, path)
         _request_headers = jsonable_encoder(
             remove_none_from_dict(
-                {
-                    **self.base_headers(),
-                    **(headers if headers is not None else {}),
-                    **(request_options.get("additional_headers", {}) if request_options is not None else {}),
-                }
+                _merge_headers(
+                    self.base_headers(),
+                    headers,
+                    request_options.get("additional_headers") if request_options is not None else None,
+                )
             )
         )
         _request_headers = drop_content_type_without_body(
@@ -735,11 +765,11 @@ async def request(
         _request_url = _build_url(base_url, path)
         _request_headers = jsonable_encoder(
             remove_none_from_dict(
-                {
-                    **_headers,
-                    **(headers if headers is not None else {}),
-                    **(request_options.get("additional_headers", {}) or {} if request_options is not None else {}),
-                }
+                _merge_headers(
+                    _headers,
+                    headers,
+                    request_options.get("additional_headers") if request_options is not None else None,
+                )
             )
         )
         _request_headers = drop_content_type_without_body(
@@ -773,7 +803,12 @@ async def request(
                 files=request_files,
                 timeout=timeout,
             )
-        except (httpx.ConnectError, httpx.RemoteProtocolError):
+        except (httpx.ConnectError, httpx.RemoteProtocolError) as error:
+            # A protocol error may occur after the server applied the request, even while reading a 200 body.
+            if isinstance(error, httpx.RemoteProtocolError) and not (
+                request_options is not None and request_options.get("retry_remote_protocol_errors", False)
+            ):
+                raise
             if retries < max_retries:
                 await asyncio.sleep(_retry_timeout_from_retries(retries=retries))
                 return await self.request(
@@ -907,11 +942,11 @@ async def stream(
         _request_url = _build_url(base_url, path)
         _request_headers = jsonable_encoder(
             remove_none_from_dict(
-                {
-                    **_headers,
-                    **(headers if headers is not None else {}),
-                    **(request_options.get("additional_headers", {}) if request_options is not None else {}),
-                }
+                _merge_headers(
+                    _headers,
+                    headers,
+                    request_options.get("additional_headers") if request_options is not None else None,
+                )
             )
         )
         _request_headers = drop_content_type_without_body(
diff --git a/src/cohere/core/pydantic_utilities.py b/src/cohere/core/pydantic_utilities.py
index 70816b99f..7c2c2372a 100644
--- a/src/cohere/core/pydantic_utilities.py
+++ b/src/cohere/core/pydantic_utilities.py
@@ -37,8 +37,8 @@
 IS_PYDANTIC_V2 = pydantic.VERSION.startswith("2.")
 
 if IS_PYDANTIC_V2:
-    _datetime_adapter = pydantic.TypeAdapter(dt.datetime)  # type: ignore[attr-defined]
-    _date_adapter = pydantic.TypeAdapter(dt.date)  # type: ignore[attr-defined]
+    _datetime_adapter = pydantic.TypeAdapter(dt.datetime)  # type: ignore[attr-defined,var-annotated]
+    _date_adapter = pydantic.TypeAdapter(dt.date)  # type: ignore[attr-defined,var-annotated]
 
     def parse_datetime(value: Any) -> dt.datetime:  # type: ignore[misc]
         if isinstance(value, dt.datetime):
diff --git a/src/cohere/core/request_options.py b/src/cohere/core/request_options.py
index caa6f669b..bd6bc01d6 100644
--- a/src/cohere/core/request_options.py
+++ b/src/cohere/core/request_options.py
@@ -20,6 +20,8 @@ class RequestOptions(typing.TypedDict, total=False):
 
         - max_retries: int. The max number of retries to attempt if the API call fails.
 
+        - retry_remote_protocol_errors: bool. Retry server disconnects and incomplete responses. Defaults to False, since the server may already have applied the request. Enable only when replaying the request is safe; bounded by max_retries.
+
         - additional_headers: typing.Dict[str, typing.Any]. A dictionary containing additional parameters to spread into the request's header dict
 
         - additional_query_parameters: typing.Dict[str, typing.Any]. A dictionary containing additional parameters to spread into the request's query parameters dict
@@ -32,6 +34,7 @@ class RequestOptions(typing.TypedDict, total=False):
     timeout: NotRequired[float]
     timeout_in_seconds: NotRequired[int]
     max_retries: NotRequired[int]
+    retry_remote_protocol_errors: NotRequired[bool]
     additional_headers: NotRequired[typing.Dict[str, typing.Any]]
     additional_query_parameters: NotRequired[typing.Dict[str, typing.Any]]
     additional_body_parameters: NotRequired[typing.Dict[str, typing.Any]]
diff --git a/src/cohere/core/unchecked_base_model.py b/src/cohere/core/unchecked_base_model.py
index c5deec1f5..e979368a0 100644
--- a/src/cohere/core/unchecked_base_model.py
+++ b/src/cohere/core/unchecked_base_model.py
@@ -305,6 +305,10 @@ def _convert_undiscriminated_union_type(
         except Exception:
             continue
 
+    # No member matched (e.g. a variant added after this SDK was generated, or a missing
+    # discriminant): keep the original data rather than dropping it.
+    return object_
+
 
 def _convert_union_type(
     type_: typing.Type[typing.Any],
diff --git a/src/cohere/types/__init__.py b/src/cohere/types/__init__.py
index 5f99eccb5..264452c18 100644
--- a/src/cohere/types/__init__.py
+++ b/src/cohere/types/__init__.py
@@ -203,6 +203,9 @@
     from .parse_text_block import ParseTextBlock
     from .parse_text_content_block import ParseTextContentBlock
     from .rerank_document import RerankDocument
+    from .rerank_relevant_span_response import RerankRelevantSpanResponse
+    from .rerank_relevant_spans import RerankRelevantSpans
+    from .rerank_relevant_spans_mode import RerankRelevantSpansMode
     from .rerank_request_documents_item import RerankRequestDocumentsItem
     from .rerank_response import RerankResponse
     from .rerank_response_results_item import RerankResponseResultsItem
@@ -444,6 +447,9 @@
     "ParseTextBlock": ".parse_text_block",
     "ParseTextContentBlock": ".parse_text_content_block",
     "RerankDocument": ".rerank_document",
+    "RerankRelevantSpanResponse": ".rerank_relevant_span_response",
+    "RerankRelevantSpans": ".rerank_relevant_spans",
+    "RerankRelevantSpansMode": ".rerank_relevant_spans_mode",
     "RerankRequestDocumentsItem": ".rerank_request_documents_item",
     "RerankResponse": ".rerank_response",
     "RerankResponseResultsItem": ".rerank_response_results_item",
@@ -727,6 +733,9 @@ def __dir__():
     "ParseTextBlock",
     "ParseTextContentBlock",
     "RerankDocument",
+    "RerankRelevantSpanResponse",
+    "RerankRelevantSpans",
+    "RerankRelevantSpansMode",
     "RerankRequestDocumentsItem",
     "RerankResponse",
     "RerankResponseResultsItem",
diff --git a/src/cohere/types/rerank_relevant_span_response.py b/src/cohere/types/rerank_relevant_span_response.py
new file mode 100644
index 000000000..6cf008cfd
--- /dev/null
+++ b/src/cohere/types/rerank_relevant_span_response.py
@@ -0,0 +1,36 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import typing
+
+import pydantic
+from ..core.pydantic_utilities import IS_PYDANTIC_V2
+from ..core.unchecked_base_model import UncheckedBaseModel
+
+
+class RerankRelevantSpanResponse(UncheckedBaseModel):
+    """
+    A stretch of a document that the model found relevant to the query, returned when context compression is enabled through `relevant_spans`.
+    """
+
+    start: int = pydantic.Field()
+    """
+    The position of the span's first character in the document, counted in Unicode codepoints.
+    """
+
+    end: int = pydantic.Field()
+    """
+    The position just past the span's last character, counted in Unicode codepoints, so the span covers `[start, end)` of the document.
+    """
+
+    score: float = pydantic.Field()
+    """
+    How relevant the span is to the query, in the range `[0, 1]`. Only spans reaching the requested `threshold` are returned.
+    """
+
+    if IS_PYDANTIC_V2:
+        model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow")  # type: ignore # Pydantic v2
+    else:
+
+        class Config:
+            smart_union = True
+            extra = pydantic.Extra.allow
diff --git a/src/cohere/types/rerank_relevant_spans.py b/src/cohere/types/rerank_relevant_spans.py
new file mode 100644
index 000000000..934f209e3
--- /dev/null
+++ b/src/cohere/types/rerank_relevant_spans.py
@@ -0,0 +1,37 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import typing
+
+import pydantic
+from ..core.pydantic_utilities import IS_PYDANTIC_V2
+from ..core.unchecked_base_model import UncheckedBaseModel
+from .rerank_relevant_spans_mode import RerankRelevantSpansMode
+
+
+class RerankRelevantSpans(UncheckedBaseModel):
+    """
+    Configures context compression, which reports the spans of each document that are most relevant to the query instead of treating the whole document as relevant. Only supported by Rerank v5 and newer models (for example, `rerank-v5.0-pro`).
+    """
+
+    mode: RerankRelevantSpansMode = pydantic.Field()
+    """
+    Whether the model prunes each document down to its relevant spans. Pruning is off unless `relevant_spans` is passed with `"mode": "enabled"`.
+    """
+
+    threshold: typing.Optional[float] = pydantic.Field(default=None)
+    """
+    The score a span must reach to be considered relevant. A higher value prunes more of each document. Defaults to `0.1`. Can only be set when `mode` is `enabled`.
+    """
+
+    max_spans: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    Optional. The most spans to return per document, out of the spans scoring above `threshold`. Must be greater than `0`. If not set, all of them are returned. Can only be set when `mode` is `enabled`.
+    """
+
+    if IS_PYDANTIC_V2:
+        model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow")  # type: ignore # Pydantic v2
+    else:
+
+        class Config:
+            smart_union = True
+            extra = pydantic.Extra.allow
diff --git a/src/cohere/types/rerank_relevant_spans_mode.py b/src/cohere/types/rerank_relevant_spans_mode.py
new file mode 100644
index 000000000..2af0172a8
--- /dev/null
+++ b/src/cohere/types/rerank_relevant_spans_mode.py
@@ -0,0 +1,5 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import typing
+
+RerankRelevantSpansMode = typing.Union[typing.Literal["enabled", "disabled"], typing.Any]
diff --git a/src/cohere/v2/client.py b/src/cohere/v2/client.py
index a659a7557..a9310d033 100644
--- a/src/cohere/v2/client.py
+++ b/src/cohere/v2/client.py
@@ -13,6 +13,7 @@
 from ..types.parse_document import ParseDocument
 from ..types.parse_output_format import ParseOutputFormat
 from ..types.parse_response import ParseResponse
+from ..types.rerank_relevant_spans import RerankRelevantSpans
 from ..types.response_format_v2 import ResponseFormatV2
 from ..types.thinking import Thinking
 from ..types.tool_v2 import ToolV2
@@ -492,7 +493,7 @@ def embed(
 
         output_dimension : typing.Optional[int]
             The number of dimensions of the output embedding. This is only available for `embed-v4` and newer models.
-            Possible values are `256`, `512`, `1024`, and `1536`. The default is `1536`.
+            For supported dimensions, please refer to the [Embed models](https://docs.cohere.com/docs/cohere-embed) page.
 
         embedding_types : typing.Optional[typing.Sequence[EmbeddingType]]
             Specifies the types of embeddings you want to get back. Can be one or more of the following types.
@@ -532,8 +533,8 @@ def embed(
         )
         client.v2.embed(
             texts=["hello", "goodbye"],
-            model="embed-v4.0",
-            input_type="classification",
+            model="embed-v5.0-fast",
+            input_type="search_document",
             embedding_types=["float"],
         )
         """
@@ -560,6 +561,7 @@ def rerank(
         documents: typing.Sequence[str],
         top_n: typing.Optional[int] = OMIT,
         max_tokens_per_doc: typing.Optional[int] = OMIT,
+        relevant_spans: typing.Optional[RerankRelevantSpans] = OMIT,
         priority: typing.Optional[int] = OMIT,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> V2RerankResponse:
@@ -569,7 +571,7 @@ def rerank(
         Parameters
         ----------
         model : str
-            The identifier of the model to use, eg `rerank-v3.5`.
+            The identifier of the model to use, eg `rerank-v5.0-pro`.
 
         query : str
             The search query
@@ -588,6 +590,8 @@ def rerank(
         max_tokens_per_doc : typing.Optional[int]
             Defaults to `4096`. Long documents will be automatically truncated to the specified number of tokens.
 
+        relevant_spans : typing.Optional[RerankRelevantSpans]
+
         priority : typing.Optional[int]
             Controls how early the request is handled. Lower numbers indicate higher priority (default: 0, the highest). When the system is under load, higher-priority requests are processed first and are the least likely to be dropped.
 
@@ -601,7 +605,7 @@ def rerank(
 
         Examples
         --------
-        from cohere import Client
+        from cohere import Client, RerankRelevantSpans
 
         client = Client(
             client_name="YOUR_CLIENT_NAME",
@@ -613,11 +617,16 @@ def rerank(
                 "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean. Its capital is Saipan.",
                 "Capitalization or capitalisation in English grammar is the use of a capital letter at the start of a word. English usage varies from capitalization in other languages.",
                 "Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) is the capital of the United States. It is a federal district.",
-                "Capital punishment has existed in the United States since beforethe United States was a country. As of 2017, capital punishment is legal in 30 of the 50 states.",
+                "Capital gains are profits from the sale of an asset such as stocks or real estate. In the United States, long-term capital gains are taxed at lower rates than ordinary income.",
             ],
             query="What is the capital of the United States?",
             top_n=3,
-            model="rerank-v4.0-pro",
+            model="rerank-v5.0-pro",
+            relevant_spans=RerankRelevantSpans(
+                mode="enabled",
+                threshold=0.1,
+                max_spans=3,
+            ),
         )
         """
         _response = self._raw_client.rerank(
@@ -626,6 +635,7 @@ def rerank(
             documents=documents,
             top_n=top_n,
             max_tokens_per_doc=max_tokens_per_doc,
+            relevant_spans=relevant_spans,
             priority=priority,
             request_options=request_options,
         )
@@ -1117,7 +1127,7 @@ async def embed(
 
         output_dimension : typing.Optional[int]
             The number of dimensions of the output embedding. This is only available for `embed-v4` and newer models.
-            Possible values are `256`, `512`, `1024`, and `1536`. The default is `1536`.
+            For supported dimensions, please refer to the [Embed models](https://docs.cohere.com/docs/cohere-embed) page.
 
         embedding_types : typing.Optional[typing.Sequence[EmbeddingType]]
             Specifies the types of embeddings you want to get back. Can be one or more of the following types.
@@ -1162,8 +1172,8 @@ async def embed(
         async def main() -> None:
             await client.v2.embed(
                 texts=["hello", "goodbye"],
-                model="embed-v4.0",
-                input_type="classification",
+                model="embed-v5.0-fast",
+                input_type="search_document",
                 embedding_types=["float"],
             )
 
@@ -1193,6 +1203,7 @@ async def rerank(
         documents: typing.Sequence[str],
         top_n: typing.Optional[int] = OMIT,
         max_tokens_per_doc: typing.Optional[int] = OMIT,
+        relevant_spans: typing.Optional[RerankRelevantSpans] = OMIT,
         priority: typing.Optional[int] = OMIT,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> V2RerankResponse:
@@ -1202,7 +1213,7 @@ async def rerank(
         Parameters
         ----------
         model : str
-            The identifier of the model to use, eg `rerank-v3.5`.
+            The identifier of the model to use, eg `rerank-v5.0-pro`.
 
         query : str
             The search query
@@ -1221,6 +1232,8 @@ async def rerank(
         max_tokens_per_doc : typing.Optional[int]
             Defaults to `4096`. Long documents will be automatically truncated to the specified number of tokens.
 
+        relevant_spans : typing.Optional[RerankRelevantSpans]
+
         priority : typing.Optional[int]
             Controls how early the request is handled. Lower numbers indicate higher priority (default: 0, the highest). When the system is under load, higher-priority requests are processed first and are the least likely to be dropped.
 
@@ -1236,7 +1249,7 @@ async def rerank(
         --------
         import asyncio
 
-        from cohere import AsyncClient
+        from cohere import AsyncClient, RerankRelevantSpans
 
         client = AsyncClient(
             client_name="YOUR_CLIENT_NAME",
@@ -1251,11 +1264,16 @@ async def main() -> None:
                     "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean. Its capital is Saipan.",
                     "Capitalization or capitalisation in English grammar is the use of a capital letter at the start of a word. English usage varies from capitalization in other languages.",
                     "Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) is the capital of the United States. It is a federal district.",
-                    "Capital punishment has existed in the United States since beforethe United States was a country. As of 2017, capital punishment is legal in 30 of the 50 states.",
+                    "Capital gains are profits from the sale of an asset such as stocks or real estate. In the United States, long-term capital gains are taxed at lower rates than ordinary income.",
                 ],
                 query="What is the capital of the United States?",
                 top_n=3,
-                model="rerank-v4.0-pro",
+                model="rerank-v5.0-pro",
+                relevant_spans=RerankRelevantSpans(
+                    mode="enabled",
+                    threshold=0.1,
+                    max_spans=3,
+                ),
             )
 
 
@@ -1267,6 +1285,7 @@ async def main() -> None:
             documents=documents,
             top_n=top_n,
             max_tokens_per_doc=max_tokens_per_doc,
+            relevant_spans=relevant_spans,
             priority=priority,
             request_options=request_options,
         )
diff --git a/src/cohere/v2/raw_client.py b/src/cohere/v2/raw_client.py
index 694d74c67..cc5ec5165 100644
--- a/src/cohere/v2/raw_client.py
+++ b/src/cohere/v2/raw_client.py
@@ -35,6 +35,7 @@
 from ..types.parse_document import ParseDocument
 from ..types.parse_output_format import ParseOutputFormat
 from ..types.parse_response import ParseResponse
+from ..types.rerank_relevant_spans import RerankRelevantSpans
 from ..types.response_format_v2 import ResponseFormatV2
 from ..types.thinking import Thinking
 from ..types.tool_v2 import ToolV2
@@ -985,7 +986,7 @@ def embed(
 
         output_dimension : typing.Optional[int]
             The number of dimensions of the output embedding. This is only available for `embed-v4` and newer models.
-            Possible values are `256`, `512`, `1024`, and `1536`. The default is `1536`.
+            For supported dimensions, please refer to the [Embed models](https://docs.cohere.com/docs/cohere-embed) page.
 
         embedding_types : typing.Optional[typing.Sequence[EmbeddingType]]
             Specifies the types of embeddings you want to get back. Can be one or more of the following types.
@@ -1197,6 +1198,7 @@ def rerank(
         documents: typing.Sequence[str],
         top_n: typing.Optional[int] = OMIT,
         max_tokens_per_doc: typing.Optional[int] = OMIT,
+        relevant_spans: typing.Optional[RerankRelevantSpans] = OMIT,
         priority: typing.Optional[int] = OMIT,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> HttpResponse[V2RerankResponse]:
@@ -1206,7 +1208,7 @@ def rerank(
         Parameters
         ----------
         model : str
-            The identifier of the model to use, eg `rerank-v3.5`.
+            The identifier of the model to use, eg `rerank-v5.0-pro`.
 
         query : str
             The search query
@@ -1225,6 +1227,8 @@ def rerank(
         max_tokens_per_doc : typing.Optional[int]
             Defaults to `4096`. Long documents will be automatically truncated to the specified number of tokens.
 
+        relevant_spans : typing.Optional[RerankRelevantSpans]
+
         priority : typing.Optional[int]
             Controls how early the request is handled. Lower numbers indicate higher priority (default: 0, the highest). When the system is under load, higher-priority requests are processed first and are the least likely to be dropped.
 
@@ -1245,6 +1249,9 @@ def rerank(
                 "documents": documents,
                 "top_n": top_n,
                 "max_tokens_per_doc": max_tokens_per_doc,
+                "relevant_spans": convert_and_respect_annotation_metadata(
+                    object_=relevant_spans, annotation=RerankRelevantSpans, direction="write"
+                ),
                 "priority": priority,
             },
             headers={
@@ -2336,7 +2343,7 @@ async def embed(
 
         output_dimension : typing.Optional[int]
             The number of dimensions of the output embedding. This is only available for `embed-v4` and newer models.
-            Possible values are `256`, `512`, `1024`, and `1536`. The default is `1536`.
+            For supported dimensions, please refer to the [Embed models](https://docs.cohere.com/docs/cohere-embed) page.
 
         embedding_types : typing.Optional[typing.Sequence[EmbeddingType]]
             Specifies the types of embeddings you want to get back. Can be one or more of the following types.
@@ -2548,6 +2555,7 @@ async def rerank(
         documents: typing.Sequence[str],
         top_n: typing.Optional[int] = OMIT,
         max_tokens_per_doc: typing.Optional[int] = OMIT,
+        relevant_spans: typing.Optional[RerankRelevantSpans] = OMIT,
         priority: typing.Optional[int] = OMIT,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> AsyncHttpResponse[V2RerankResponse]:
@@ -2557,7 +2565,7 @@ async def rerank(
         Parameters
         ----------
         model : str
-            The identifier of the model to use, eg `rerank-v3.5`.
+            The identifier of the model to use, eg `rerank-v5.0-pro`.
 
         query : str
             The search query
@@ -2576,6 +2584,8 @@ async def rerank(
         max_tokens_per_doc : typing.Optional[int]
             Defaults to `4096`. Long documents will be automatically truncated to the specified number of tokens.
 
+        relevant_spans : typing.Optional[RerankRelevantSpans]
+
         priority : typing.Optional[int]
             Controls how early the request is handled. Lower numbers indicate higher priority (default: 0, the highest). When the system is under load, higher-priority requests are processed first and are the least likely to be dropped.
 
@@ -2596,6 +2606,9 @@ async def rerank(
                 "documents": documents,
                 "top_n": top_n,
                 "max_tokens_per_doc": max_tokens_per_doc,
+                "relevant_spans": convert_and_respect_annotation_metadata(
+                    object_=relevant_spans, annotation=RerankRelevantSpans, direction="write"
+                ),
                 "priority": priority,
             },
             headers={
diff --git a/src/cohere/v2/types/v2rerank_response_results_item.py b/src/cohere/v2/types/v2rerank_response_results_item.py
index 9331277d3..771938cdc 100644
--- a/src/cohere/v2/types/v2rerank_response_results_item.py
+++ b/src/cohere/v2/types/v2rerank_response_results_item.py
@@ -5,6 +5,7 @@
 import pydantic
 from ...core.pydantic_utilities import IS_PYDANTIC_V2
 from ...core.unchecked_base_model import UncheckedBaseModel
+from ...types.rerank_relevant_span_response import RerankRelevantSpanResponse
 
 
 class V2RerankResponseResultsItem(UncheckedBaseModel):
@@ -18,6 +19,11 @@ class V2RerankResponseResultsItem(UncheckedBaseModel):
     Relevance scores are normalized to be in the range `[0, 1]`. Scores close to `1` indicate a high relevance to the query, and scores closer to `0` indicate low relevance. It is not accurate to assume a score of 0.9 means the document is 2x more relevant than a document with a score of 0.45
     """
 
+    relevant_spans: typing.Optional[typing.List[RerankRelevantSpanResponse]] = pydantic.Field(default=None)
+    """
+    The spans of this document that are most relevant to the query, ordered from most to least relevant. Only returned when the request enabled `relevant_spans` and the model found at least one span for the document.
+    """
+
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow")  # type: ignore # Pydantic v2
     else:

From 02e602f8d4a1b9b8982646782edc07d669aa8242 Mon Sep 17 00:00:00 2001
From: "fern-api[bot]" <115122769+fern-api[bot]@users.noreply.github.com>
Date: Tue, 20 Oct 2026 21:30:09 +0000
Subject: [PATCH 2/2] [fern-replay] Applied customizations

Patches with unresolved conflicts (3):
  - patch-c81e8a75: fix(utils): embed(texts=[]) crashes with IndexError on empty input (#778)
  - patch-41f344bd: feat(client): forward max_retries through Client/ClientV2 constructors (#779)
  - patch-bc495daa: Omit Authorization header when api_key is empty (#795)
    Run `fern-replay resolve` to apply these customizations.
---
 .fern/replay.lock | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/.fern/replay.lock b/.fern/replay.lock
index b9fc7ba2e..3cad06486 100644
--- a/.fern/replay.lock
+++ b/.fern/replay.lock
@@ -30,7 +30,13 @@ generations:
     cli_version: unknown
     generator_versions:
       fernapi/fern-python-sdk: 5.29.3
-current_generation: 08bacd4b7090887b51a98e3580ab774609245eaf
+  - commit_sha: a861324bc4a7417067a47c0453ad61cadb5a90b0
+    tree_hash: 6ad198748e4c470630993970155413e9187b0177
+    timestamp: 2026-10-20T21:30:03.701Z
+    cli_version: unknown
+    generator_versions:
+      fernapi/fern-python-sdk: 5.39.3
+current_generation: a861324bc4a7417067a47c0453ad61cadb5a90b0
 patches:
   - id: patch-c81e8a75
     content_hash: sha256:2bc67df2e5b682e22056376b1ff46d4728c48908d0b19f1c87ed230376e3dc40