diff --git a/dspy/clients/base_lm.py b/dspy/clients/base_lm.py
index 5247dda718..a366fb4eb4 100644
--- a/dspy/clients/base_lm.py
+++ b/dspy/clients/base_lm.py
@@ -59,6 +59,8 @@ def _process_lm_response(self, response, prompt, messages, **kwargs):
                 output["logprobs"] = c.logprobs if hasattr(c, "logprobs") else c["logprobs"]
             if hasattr(c, "message") and getattr(c.message, "tool_calls", None):
                 output["tool_calls"] = c.message.tool_calls
+            if hasattr(c, "message") and hasattr(c.message, "reasoning_content"):
+                output["reasoning_content"] = c.message.reasoning_content
             outputs.append(output)
 
         if all(len(output) == 1 for output in outputs):
diff --git a/dspy/clients/lm.py b/dspy/clients/lm.py
index 228d78b63a..9e008f4161 100644
--- a/dspy/clients/lm.py
+++ b/dspy/clients/lm.py
@@ -37,6 +37,7 @@ def __init__(
         callbacks: Optional[List[BaseCallback]] = None,
         num_retries: int = 3,
         provider: Optional[Provider] = None,
+        reasoning_model: Optional[bool] = None,
         finetuning_model: Optional[str] = None,
         launch_kwargs: Optional[dict[str, Any]] = None,
         train_kwargs: Optional[dict[str, Any]] = None,
@@ -51,6 +52,7 @@ def __init__(
             model_type: The type of the model, either ``"chat"`` or ``"text"``.
             temperature: The sampling temperature to use when generating responses.
             max_tokens: The maximum number of tokens to generate per response.
+            reasoning_model: Whether the model is a reasoning model.
             cache: Whether to cache the model responses for reuse to improve performance
                    and reduce costs.
             cache_in_memory (deprecated): To enable additional caching with LRU in memory.
@@ -71,6 +73,7 @@ def __init__(
         self.callbacks = callbacks or []
         self.history = []
         self.num_retries = num_retries
+        self.reasoning_model = reasoning_model if reasoning_model is not None else litellm.supports_reasoning(model)
         self.finetuning_model = finetuning_model
         self.launch_kwargs = launch_kwargs or {}
         self.train_kwargs = train_kwargs or {}
diff --git a/dspy/predict/chain_of_thought.py b/dspy/predict/chain_of_thought.py
index ba24a97d98..dbd5097752 100644
--- a/dspy/predict/chain_of_thought.py
+++ b/dspy/predict/chain_of_thought.py
@@ -1,3 +1,4 @@
+from functools import cached_property
 from typing import Any, Optional, Type, Union
 
 from pydantic.fields import FieldInfo
@@ -26,16 +27,74 @@ def __init__(
             **config: The configuration for the module.
         """
         super().__init__()
-        signature = ensure_signature(signature)
-        prefix = "Reasoning: Let's think step by step in order to"
-        desc = "${reasoning}"
-        rationale_field_type = rationale_field.annotation if rationale_field else rationale_field_type
-        rationale_field = rationale_field if rationale_field else dspy.OutputField(prefix=prefix, desc=desc)
-        extended_signature = signature.prepend(name="reasoning", field=rationale_field, type_=rationale_field_type)
-        self.predict = dspy.Predict(extended_signature, **config)
+        self._signature = ensure_signature(signature)
+        self._config = config
+        self._rationale_field = rationale_field
+        self._rationale_field_type = rationale_field_type
+
+    @cached_property
+    def predict(self):
+        """Returns the appropriate predict instance based on the LM's reasoning model capability."""
+        lm = dspy.settings.lm
+        if lm and getattr(lm, "reasoning_model", False):
+            return dspy.Predict(self._signature, **self._config)
+        else:
+            prefix = "Reasoning: Let's think step by step in order to"
+            desc = "${reasoning}"
+            rationale_field_type = (
+                self._rationale_field.annotation if self._rationale_field else self._rationale_field_type
+            )
+            rationale_field = (
+                self._rationale_field if self._rationale_field else dspy.OutputField(prefix=prefix, desc=desc)
+            )
+            extended_signature = self._signature.prepend(
+                name="reasoning", field=rationale_field, type_=rationale_field_type
+            )
+            return dspy.Predict(extended_signature, **self._config)
 
     def forward(self, **kwargs):
         return self.predict(**kwargs)
 
     async def aforward(self, **kwargs):
         return await self.predict.acall(**kwargs)
+
+    def load_state(self, state):
+        """Override to ensure predict parameter is created before loading state."""
+        # If predict state exists but predict hasn't been accessed yet, access it first
+        if "predict" in state and "predict" not in self.__dict__:
+            _ = self.predict  # This creates the predict instance
+
+        # Now call the base load_state which will load into all named_parameters
+        return super().load_state(state)
+
+    def __setstate__(self, state):
+        """Custom deserialization for cloudpickle to preserve predict instance."""
+        # Restore the state normally
+        self.__dict__.update(state)
+
+        # If predict was cached and serialized, we don't need to do anything special
+        # since cloudpickle should have preserved it correctly
+
+    def __getstate__(self):
+        """Custom serialization for cloudpickle to ensure predict instance is preserved."""
+        state = self.__dict__.copy()
+        # Force evaluation of cached property if not already done
+        if "predict" not in state:
+            # Access the predict property to cache it before serialization
+            _ = self.predict
+            state = self.__dict__.copy()
+        return state
+
+    def named_parameters(self):
+        """Override to ensure the predict property is cached and included in named parameters."""
+        # Force evaluation of the cached_property if not already done
+        # This ensures it gets stored in __dict__ and picked up by the base implementation
+        if "predict" not in self.__dict__:
+            try:
+                _ = self.predict  # This triggers the cached_property
+            except Exception:
+                # If accessing predict fails for any reason, continue without it
+                pass
+
+        # Now call the base implementation which will include the cached predict
+        return super().named_parameters()
diff --git a/dspy/streaming/streaming_listener.py b/dspy/streaming/streaming_listener.py
index 2aaec847f0..8867127b0d 100644
--- a/dspy/streaming/streaming_listener.py
+++ b/dspy/streaming/streaming_listener.py
@@ -207,7 +207,10 @@ def find_predictor_for_stream_listeners(program: "Module", stream_listeners: Lis
         if listener.predict:
             predict_id_to_listener[id(listener.predict)].append(listener)
             continue
-        if listener.signature_field_name not in field_name_to_named_predictor:
+        if (
+            listener.signature_field_name not in field_name_to_named_predictor
+            or field_name_to_named_predictor[listener.signature_field_name] is None
+        ):
             raise ValueError(
                 f"Signature field {listener.signature_field_name} is not a field of any predictor in the program, "
                 "cannot automatically determine which predictor to use for streaming. Please verify your field name or "
diff --git a/pyproject.toml b/pyproject.toml
index cfe0760b7b..0ab43f1fca 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -32,7 +32,7 @@ dependencies = [
     "optuna>=3.4.0",
     "pydantic>=2.0",
     "magicattr>=0.1.6",
-    "litellm>=1.64.0",
+    "litellm>=1.72.4",
     "diskcache>=5.6.0",
     "json-repair>=0.30.0",
     "tenacity>=8.2.3",
@@ -59,8 +59,8 @@ dev = [
     "pillow>=10.1.0",
     "datamodel_code_generator>=0.26.3",
     "build>=1.0.3",
-    "litellm>=1.64.0; sys_platform == 'win32'",
-    "litellm[proxy]>=1.64.0; sys_platform != 'win32'",
+    "litellm>=1.72.4; sys_platform == 'win32'",
+    "litellm[proxy]>=1.72.4; sys_platform != 'win32'",
 ]
 test_extras = [
     "mcp; python_version >= '3.10'",
diff --git a/tests/predict/test_chain_of_thought.py b/tests/predict/test_chain_of_thought.py
index 247256dba7..52c86e9c20 100644
--- a/tests/predict/test_chain_of_thought.py
+++ b/tests/predict/test_chain_of_thought.py
@@ -23,3 +23,15 @@ async def test_async_chain_of_thought():
         program = ChainOfThought("question -> answer")
         result = await program.acall(question="What is 1+1?")
         assert result.answer == "2"
+
+
+def test_cot_skips_with_reasoning_model():
+    lm = DummyLM([{"answer": "2"}])
+    lm.reasoning_model = True
+    dspy.settings.configure(lm=lm)
+    signature = dspy.Signature("question -> answer")
+    predict = ChainOfThought(signature)
+    assert list(predict.predict.signature.output_fields.keys()) == [
+        "answer",
+    ]
+    assert predict(question="What is 1+1?").answer == "2"
diff --git a/uv.lock b/uv.lock
index c5610a87fa..ca8fa32c88 100644
--- a/uv.lock
+++ b/uv.lock
@@ -164,7 +164,7 @@ wheels = [
 
 [[package]]
 name = "anthropic"
-version = "0.54.0"
+version = "0.55.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "anyio" },
@@ -175,9 +175,9 @@ dependencies = [
     { name = "sniffio" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/89/28/80cb9bb6e7ce77d404145b51da4257455805c17f0a6be528ff3286e3882f/anthropic-0.54.0.tar.gz", hash = "sha256:5e6f997d97ce8e70eac603c3ec2e7f23addeff953fbbb76b19430562bb6ba815", size = 312376, upload-time = "2025-06-11T02:46:27.642Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/a4/19/e2e09bc7fc0c4562ae865b3e5d487931c254c517e1c739b0c8aef2cf3186/anthropic-0.55.0.tar.gz", hash = "sha256:61826efa1bda0e4c7dc6f6a0d82b7d99b3fda970cd048d40ef5fca08a5eabd33", size = 408192, upload-time = "2025-06-23T18:52:26.27Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/de/b9/6ffb48e82c5e97b03cecee872d134a6b6666c2767b2d32ed709f3a60a8fe/anthropic-0.54.0-py3-none-any.whl", hash = "sha256:c1062a0a905daeec17ca9c06c401e4b3f24cb0495841d29d752568a1d4018d56", size = 288774, upload-time = "2025-06-11T02:46:25.578Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/8f/ba982f539db40f49a610f61562e9b54fb9c85e7b9ede9a46ff6f9e79042f/anthropic-0.55.0-py3-none-any.whl", hash = "sha256:3518433fc0372a13f2b793b4cabecc7734ec9176e063a0f28dac19aa17c57f94", size = 289318, upload-time = "2025-06-23T18:52:24.478Z" },
 ]
 
 [[package]]
@@ -330,7 +330,7 @@ dependencies = [
     { name = "jmespath", marker = "sys_platform != 'win32'" },
     { name = "python-dateutil", marker = "sys_platform != 'win32'" },
     { name = "urllib3", version = "1.26.20", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10' and sys_platform != 'win32'" },
-    { name = "urllib3", version = "2.4.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10' and sys_platform != 'win32'" },
+    { name = "urllib3", version = "2.5.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10' and sys_platform != 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/22/de/17d672eac6725da49bd5832e3bd2f74c4d212311cd393fd56b59f51a4e86/botocore-1.34.162.tar.gz", hash = "sha256:adc23be4fb99ad31961236342b7cbf3c0bfc62532cd02852196032e8c0d682f3", size = 12676693, upload-time = "2024-08-15T19:25:25.162Z" }
 wheels = [
@@ -655,7 +655,7 @@ wheels = [
 
 [[package]]
 name = "datamodel-code-generator"
-version = "0.31.1"
+version = "0.31.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "argcomplete" },
@@ -669,9 +669,9 @@ dependencies = [
     { name = "pyyaml" },
     { name = "tomli", marker = "python_full_version < '3.12'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/79/27/7806e87312a5fca6b0f1254b499296f836456db0b67fbbbf281c4d836da9/datamodel_code_generator-0.31.1.tar.gz", hash = "sha256:93672fd62284223203cfa7f5ab35ea0bcad0f627b0cfcbad21d8564b6be76c0b", size = 452638, upload-time = "2025-06-17T15:24:13.398Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/07/40/26399980314bedb3a8ec6a31da646d190cd945192410ad3ab6eabe0a1c73/datamodel_code_generator-0.31.2.tar.gz", hash = "sha256:47887b8aa6fd69865e07e2893c1e76e34dae753b9a97f1020357af8337bc4cdb", size = 453381, upload-time = "2025-06-22T17:40:56.491Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/2a/24/1d4caa6d6c4c0f4045c2d5ace4d37efe878e88734f55f2106e695626fefb/datamodel_code_generator-0.31.1-py3-none-any.whl", hash = "sha256:abeaff920500b4242f9cce97108801d726ff5cf3f146a2ce1e0a74a82239f701", size = 119343, upload-time = "2025-06-17T15:24:11.477Z" },
+    { url = "https://files.pythonhosted.org/packages/88/82/9bda726b117967b8056315e51125633ec7a0d2f862c202aed01c3fde2e9f/datamodel_code_generator-0.31.2-py3-none-any.whl", hash = "sha256:78f200a9e673ee4d041e96e82a835273baf4ce15e446d46501c0433d82af3ef5", size = 119369, upload-time = "2025-06-22T17:40:54.615Z" },
 ]
 
 [[package]]
@@ -686,7 +686,7 @@ dependencies = [
     { name = "multiprocess" },
     { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
     { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
-    { name = "numpy", version = "2.3.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "numpy", version = "2.3.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "packaging" },
     { name = "pandas" },
     { name = "pyarrow" },
@@ -758,12 +758,12 @@ dependencies = [
     { name = "diskcache" },
     { name = "joblib" },
     { name = "json-repair", version = "0.44.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "json-repair", version = "0.46.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "json-repair", version = "0.47.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
     { name = "litellm" },
     { name = "magicattr" },
     { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
     { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
-    { name = "numpy", version = "2.3.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "numpy", version = "2.3.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "openai" },
     { name = "optuna" },
     { name = "pydantic" },
@@ -827,9 +827,9 @@ requires-dist = [
     { name = "json-repair", specifier = ">=0.30.0" },
     { name = "langchain-core", marker = "extra == 'langchain'" },
     { name = "langchain-core", marker = "extra == 'test-extras'" },
-    { name = "litellm", specifier = ">=1.64.0" },
-    { name = "litellm", marker = "sys_platform == 'win32' and extra == 'dev'", specifier = ">=1.64.0" },
-    { name = "litellm", extras = ["proxy"], marker = "sys_platform != 'win32' and extra == 'dev'", specifier = ">=1.64.0" },
+    { name = "litellm", specifier = ">=1.72.4" },
+    { name = "litellm", marker = "sys_platform == 'win32' and extra == 'dev'", specifier = ">=1.72.4" },
+    { name = "litellm", extras = ["proxy"], marker = "sys_platform != 'win32' and extra == 'dev'", specifier = ">=1.72.4" },
     { name = "magicattr", specifier = ">=0.1.6" },
     { name = "mcp", marker = "python_full_version >= '3.10' and extra == 'mcp'" },
     { name = "mcp", marker = "python_full_version >= '3.10' and extra == 'test-extras'" },
@@ -874,7 +874,7 @@ name = "exceptiongroup"
 version = "1.3.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/0b/9f/a65090624ecf468cdca03533906e7c69ed7588582240cfe7cc9e770b50eb/exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88", size = 29749, upload-time = "2025-05-10T17:42:51.123Z" }
 wheels = [
@@ -1265,17 +1265,17 @@ wheels = [
 
 [[package]]
 name = "hf-xet"
-version = "1.1.4"
+version = "1.1.5"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/ed/d4/7685999e85945ed0d7f0762b686ae7015035390de1161dcea9d5276c134c/hf_xet-1.1.5.tar.gz", hash = "sha256:69ebbcfd9ec44fdc2af73441619eeb06b94ee34511bbcf57cd423820090f5694", size = 495969, upload-time = "2025-06-20T21:48:38.007Z" }
 wheels = [
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-    { url = "https://files.pythonhosted.org/packages/9b/9f/1744fb1d79e0ac147578b193ce29208ebb9f4636e8cdf505638f6f0a6874/hf_xet-1.1.4-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:071b0b4d4698990f746edd666c7cc42555833d22035d88db0df936677fb57d29", size = 2510687, upload-time = "2025-06-16T21:20:43.754Z" },
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