Release 0.8.18b2

Author: fern-api[bot]

poetry.lock

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "humanloop"
-version = "0.8.18"
+version = "0.8.18b2"
 description = ""
 readme = "README.md"
 authors = []

pyproject.toml

@@ -338,6 +338,14 @@ Controls how the model uses tools. The following options are supported:
 <dl>
 <dd>
 
+**log_id:** `typing.Optional[str]` — This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **request_options:** `typing.Optional[RequestOptions]` — Request-specific configuration.
 
 </dd>
@@ -677,6 +685,7 @@ response = client.prompts.call_stream(
     user="string",
     prompts_call_stream_request_environment="string",
     save=True,
+    log_id="string",
     provider_api_keys={
         "openai": "string",
         "ai_21": "string",
@@ -851,6 +860,14 @@ Controls how the model uses tools. The following options are supported:
 <dl>
 <dd>
 
+**log_id:** `typing.Optional[str]` — This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **provider_api_keys:** `typing.Optional[ProviderApiKeysParams]` — API keys required by each provider to make API calls. The API keys provided here are not stored by Humanloop. If not specified here, Humanloop will fall back to the key saved to your organization.
 
 </dd>
@@ -1109,6 +1126,14 @@ Controls how the model uses tools. The following options are supported:
 <dl>
 <dd>
 
+**log_id:** `typing.Optional[str]` — This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **provider_api_keys:** `typing.Optional[ProviderApiKeysParams]` — API keys required by each provider to make API calls. The API keys provided here are not stored by Humanloop. If not specified here, Humanloop will fall back to the key saved to your organization.
 
 </dd>
@@ -1327,6 +1352,12 @@ client.prompts.upsert(
     provider="openai",
     max_tokens=-1,
     temperature=0.7,
+    top_p=1.0,
+    presence_penalty=0.0,
+    frequency_penalty=0.0,
+    other={},
+    tools=[],
+    linked_tools=[],
     commit_message="Initial commit",
 )
 
@@ -2597,6 +2628,14 @@ client.tools.log(
 <dl>
 <dd>
 
+**log_id:** `typing.Optional[str]` — This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **tool:** `typing.Optional[ToolKernelRequestParams]` — Details of your Tool. A new Tool version will be created if the provided details are new.
 
 </dd>
@@ -5395,6 +5434,14 @@ client.evaluators.log(
 <dl>
 <dd>
 
+**log_id:** `typing.Optional[str]` — This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **judgment:** `typing.Optional[CreateEvaluatorLogRequestJudgmentParams]` — Evaluator assessment of the Log.
 
 </dd>
@@ -6764,7 +6811,7 @@ client.flows.log(
 <dl>
 <dd>
 
-**log_id:** `typing.Optional[str]` — The identifier for the Log. If not specified, a default ID will be generated. This allows additional Logs to be appended to the trace without waiting for Humanloop to return an ID.
+**log_id:** `typing.Optional[str]` — This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you.
 
 </dd>
 </dl>
@@ -7298,6 +7345,8 @@ Update the status, inputs, output of a Flow Log.
 
 Marking a Flow Log as complete will trigger any monitoring Evaluators to run.
 Inputs and output (or error) must be provided in order to mark it as complete.
+
+The end_time log attribute will be set to match the time the log is marked as complete.
 </dd>
 </dl>
 </dd>

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": "0.8.18",
+            "X-Fern-SDK-Version": "0.8.18b2",
         }
         headers["X-API-KEY"] = self.api_key
         return headers

src/humanloop/core/client_wrapper.py

@@ -65,6 +65,7 @@ def log(
         user: typing.Optional[str] = OMIT,
         create_evaluator_log_request_environment: typing.Optional[str] = OMIT,
         save: typing.Optional[bool] = OMIT,
+        log_id: typing.Optional[str] = OMIT,
         judgment: typing.Optional[CreateEvaluatorLogRequestJudgmentParams] = OMIT,
         marked_completed: typing.Optional[bool] = OMIT,
         spec: typing.Optional[CreateEvaluatorLogRequestSpecParams] = OMIT,
@@ -143,6 +144,9 @@ def log(
         save : typing.Optional[bool]
             Whether the request/response payloads will be stored on Humanloop.
 
+        log_id : typing.Optional[str]
+            This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you.
+
         judgment : typing.Optional[CreateEvaluatorLogRequestJudgmentParams]
             Evaluator assessment of the Log.
 
@@ -198,6 +202,7 @@ def log(
                 "user": user,
                 "environment": create_evaluator_log_request_environment,
                 "save": save,
+                "log_id": log_id,
                 "judgment": convert_and_respect_annotation_metadata(
                     object_=judgment, annotation=CreateEvaluatorLogRequestJudgmentParams, direction="write"
                 ),
@@ -1148,6 +1153,7 @@ async def log(
         user: typing.Optional[str] = OMIT,
         create_evaluator_log_request_environment: typing.Optional[str] = OMIT,
         save: typing.Optional[bool] = OMIT,
+        log_id: typing.Optional[str] = OMIT,
         judgment: typing.Optional[CreateEvaluatorLogRequestJudgmentParams] = OMIT,
         marked_completed: typing.Optional[bool] = OMIT,
         spec: typing.Optional[CreateEvaluatorLogRequestSpecParams] = OMIT,
@@ -1226,6 +1232,9 @@ async def log(
         save : typing.Optional[bool]
             Whether the request/response payloads will be stored on Humanloop.
 
+        log_id : typing.Optional[str]
+            This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you.
+
         judgment : typing.Optional[CreateEvaluatorLogRequestJudgmentParams]
             Evaluator assessment of the Log.
 
@@ -1289,6 +1298,7 @@ async def main() -> None:
                 "user": user,
                 "environment": create_evaluator_log_request_environment,
                 "save": save,
+                "log_id": log_id,
                 "judgment": convert_and_respect_annotation_metadata(
                     object_=judgment, annotation=CreateEvaluatorLogRequestJudgmentParams, direction="write"
                 ),

src/humanloop/evaluators/client.py

@@ -154,7 +154,7 @@ def log(
             Whether the request/response payloads will be stored on Humanloop.
 
         log_id : typing.Optional[str]
-            The identifier for the Log. If not specified, a default ID will be generated. This allows additional Logs to be appended to the trace without waiting for Humanloop to return an ID.
+            This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you.
 
         flow : typing.Optional[FlowKernelRequestParams]
             Flow used to generate the Trace.
@@ -708,6 +708,8 @@ def update_log(
         Marking a Flow Log as complete will trigger any monitoring Evaluators to run.
         Inputs and output (or error) must be provided in order to mark it as complete.
 
+        The end_time log attribute will be set to match the time the log is marked as complete.
+
         Parameters
         ----------
         log_id : str
@@ -1384,7 +1386,7 @@ async def log(
             Whether the request/response payloads will be stored on Humanloop.
 
         log_id : typing.Optional[str]
-            The identifier for the Log. If not specified, a default ID will be generated. This allows additional Logs to be appended to the trace without waiting for Humanloop to return an ID.
+            This will identify a Log. If you don't provide a Log ID, Humanloop will generate one for you.
 
         flow : typing.Optional[FlowKernelRequestParams]
             Flow used to generate the Trace.
@@ -1985,6 +1987,8 @@ async def update_log(
         Marking a Flow Log as complete will trigger any monitoring Evaluators to run.
         Inputs and output (or error) must be provided in order to mark it as complete.
 
+        The end_time log attribute will be set to match the time the log is marked as complete.
+
         Parameters
         ----------
         log_id : str