Release 0.8.30

Author: fern-api[bot]

poetry.lock

@@ -3,7 +3,7 @@ name = "humanloop"
 
 [tool.poetry]
 name = "humanloop"
-version = "0.8.29b1"
+version = "0.8.30"
 description = ""
 readme = "README.md"
 authors = []

pyproject.toml

@@ -56,7 +56,7 @@ client.prompts.log(
     messages=[{"role": "user", "content": "What really happened at Roswell?"}],
     inputs={"person": "Trump"},
     created_at=datetime.datetime.fromisoformat(
-        "2024-07-19 00:29:35.178000+00:00",
+        "2024-07-18 23:29:35.178000+00:00",
     ),
     provider_latency=6.5931549072265625,
     output_message={
@@ -193,7 +193,7 @@ client.prompts.log(
 Controls how the model uses tools. The following options are supported: 
 - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. 
 - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. 
-- `'required'` means the model can decide to call one or more of the provided tools. 
+- `'required'` means the model must call one or more of the provided tools. 
 - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
 </dd>
@@ -512,7 +512,7 @@ client.prompts.update_log(
 Controls how the model uses tools. The following options are supported: 
 - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. 
 - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. 
-- `'required'` means the model can decide to call one or more of the provided tools. 
+- `'required'` means the model must call one or more of the provided tools. 
 - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
 </dd>
@@ -743,7 +743,7 @@ for chunk in response:
 Controls how the model uses tools. The following options are supported: 
 - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. 
 - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. 
-- `'required'` means the model can decide to call one or more of the provided tools. 
+- `'required'` means the model must call one or more of the provided tools. 
 - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
 </dd>
@@ -1017,7 +1017,7 @@ client.prompts.call(
 Controls how the model uses tools. The following options are supported: 
 - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. 
 - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. 
-- `'required'` means the model can decide to call one or more of the provided tools. 
+- `'required'` means the model must call one or more of the provided tools. 
 - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
 </dd>
@@ -6760,10 +6760,10 @@ client.flows.log(
     output="The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.",
     log_status="incomplete",
     start_time=datetime.datetime.fromisoformat(
-        "2024-07-08 22:40:35+00:00",
+        "2024-07-08 21:40:35+00:00",
     ),
     end_time=datetime.datetime.fromisoformat(
-        "2024-07-08 22:40:39+00:00",
+        "2024-07-08 21:40:39+00:00",
     ),
 )
 

reference.md

@@ -16,7 +16,7 @@ def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "humanloop",
-            "X-Fern-SDK-Version": "0.8.29b1",
+            "X-Fern-SDK-Version": "0.8.30",
         }
         headers["X-API-KEY"] = self.api_key
         return headers

src/humanloop/core/client_wrapper.py

@@ -204,10 +204,10 @@ def log(
             output="The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.",
             log_status="incomplete",
             start_time=datetime.datetime.fromisoformat(
-                "2024-07-08 22:40:35+00:00",
+                "2024-07-08 21:40:35+00:00",
             ),
             end_time=datetime.datetime.fromisoformat(
-                "2024-07-08 22:40:39+00:00",
+                "2024-07-08 21:40:39+00:00",
             ),
         )
         """
@@ -1468,10 +1468,10 @@ async def main() -> None:
                 output="The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.",
                 log_status="incomplete",
                 start_time=datetime.datetime.fromisoformat(
-                    "2024-07-08 22:40:35+00:00",
+                    "2024-07-08 21:40:35+00:00",
                 ),
                 end_time=datetime.datetime.fromisoformat(
-                    "2024-07-08 22:40:39+00:00",
+                    "2024-07-08 21:40:39+00:00",
                 ),
             )
 

src/humanloop/flows/client.py

@@ -154,7 +154,7 @@ def log(
             Controls how the model uses tools. The following options are supported:
             - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt.
             - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt.
-            - `'required'` means the model can decide to call one or more of the provided tools.
+            - `'required'` means the model must call one or more of the provided tools.
             - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
         prompt : typing.Optional[PromptKernelRequestParams]
@@ -248,7 +248,7 @@ def log(
             messages=[{"role": "user", "content": "What really happened at Roswell?"}],
             inputs={"person": "Trump"},
             created_at=datetime.datetime.fromisoformat(
-                "2024-07-19 00:29:35.178000+00:00",
+                "2024-07-18 23:29:35.178000+00:00",
             ),
             provider_latency=6.5931549072265625,
             output_message={
@@ -411,7 +411,7 @@ def update_log(
             Controls how the model uses tools. The following options are supported:
             - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt.
             - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt.
-            - `'required'` means the model can decide to call one or more of the provided tools.
+            - `'required'` means the model must call one or more of the provided tools.
             - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
         output : typing.Optional[str]
@@ -600,7 +600,7 @@ def call_stream(
             Controls how the model uses tools. The following options are supported:
             - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt.
             - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt.
-            - `'required'` means the model can decide to call one or more of the provided tools.
+            - `'required'` means the model must call one or more of the provided tools.
             - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
         prompt : typing.Optional[PromptKernelRequestParams]
@@ -817,7 +817,7 @@ def call(
             Controls how the model uses tools. The following options are supported:
             - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt.
             - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt.
-            - `'required'` means the model can decide to call one or more of the provided tools.
+            - `'required'` means the model must call one or more of the provided tools.
             - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
         prompt : typing.Optional[PromptKernelRequestParams]
@@ -2183,7 +2183,7 @@ async def log(
             Controls how the model uses tools. The following options are supported:
             - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt.
             - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt.
-            - `'required'` means the model can decide to call one or more of the provided tools.
+            - `'required'` means the model must call one or more of the provided tools.
             - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
         prompt : typing.Optional[PromptKernelRequestParams]
@@ -2283,7 +2283,7 @@ async def main() -> None:
                 ],
                 inputs={"person": "Trump"},
                 created_at=datetime.datetime.fromisoformat(
-                    "2024-07-19 00:29:35.178000+00:00",
+                    "2024-07-18 23:29:35.178000+00:00",
                 ),
                 provider_latency=6.5931549072265625,
                 output_message={
@@ -2449,7 +2449,7 @@ async def update_log(
             Controls how the model uses tools. The following options are supported:
             - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt.
             - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt.
-            - `'required'` means the model can decide to call one or more of the provided tools.
+            - `'required'` means the model must call one or more of the provided tools.
             - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
         output : typing.Optional[str]
@@ -2646,7 +2646,7 @@ async def call_stream(
             Controls how the model uses tools. The following options are supported:
             - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt.
             - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt.
-            - `'required'` means the model can decide to call one or more of the provided tools.
+            - `'required'` means the model must call one or more of the provided tools.
             - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
         prompt : typing.Optional[PromptKernelRequestParams]
@@ -2871,7 +2871,7 @@ async def call(
             Controls how the model uses tools. The following options are supported:
             - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt.
             - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt.
-            - `'required'` means the model can decide to call one or more of the provided tools.
+            - `'required'` means the model must call one or more of the provided tools.
             - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
 
         prompt : typing.Optional[PromptKernelRequestParams]

src/humanloop/prompts/client.py

@@ -36,7 +36,7 @@ class PromptCallResponseParams(typing_extensions.TypedDict):
     Controls how the model uses tools. The following options are supported: 
     - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. 
     - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. 
-    - `'required'` means the model can decide to call one or more of the provided tools. 
+    - `'required'` means the model must call one or more of the provided tools. 
     - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
     """
 

src/humanloop/requests/prompt_call_response.py

@@ -66,7 +66,7 @@ class PromptLogResponseParams(typing_extensions.TypedDict):
     Controls how the model uses tools. The following options are supported: 
     - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. 
     - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. 
-    - `'required'` means the model can decide to call one or more of the provided tools. 
+    - `'required'` means the model must call one or more of the provided tools. 
     - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
     """
 

src/humanloop/requests/prompt_log_response.py

@@ -45,7 +45,7 @@ class PromptCallResponse(UncheckedBaseModel):
     Controls how the model uses tools. The following options are supported: 
     - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. 
     - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. 
-    - `'required'` means the model can decide to call one or more of the provided tools. 
+    - `'required'` means the model must call one or more of the provided tools. 
     - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
     """
 

src/humanloop/types/prompt_call_response.py

@@ -69,7 +69,7 @@ class PromptLogResponse(UncheckedBaseModel):
     Controls how the model uses tools. The following options are supported: 
     - `'none'` means the model will not call any tool and instead generates a message; this is the default when no tools are provided as part of the Prompt. 
     - `'auto'` means the model can decide to call one or more of the provided tools; this is the default when tools are provided as part of the Prompt. 
-    - `'required'` means the model can decide to call one or more of the provided tools. 
+    - `'required'` means the model must call one or more of the provided tools. 
     - `{'type': 'function', 'function': {name': <TOOL_NAME>}}` forces the model to use the named function.
     """