fixed misspells

langfun/core/component.py

@@ -81,7 +81,7 @@ def use_settings(
   Args:
     cascade: If True, this override will apply to both current scope and nested
       scope, meaning that this `lf.context` will take precedence over all
-      nested `lf.context` on the overriden variables.
+      nested `lf.context` on the overridden variables.
     **settings: Key/values as override for component attributes.
 
   Returns:

langfun/core/concurrent.py

@@ -203,7 +203,7 @@ def concurrent_execute(
       list of outputs.
 
   Returns:
-    A list of ouputs. Each is the return value of `func` based on the input
+    A list of outputs. Each is the return value of `func` based on the input
       value. Order is preserved.
   """
   jobs = []
@@ -647,7 +647,7 @@ def concurrent_map(
     exponential_backoff: bool = True,
     return_jobs: bool = False,
 ) -> Iterator[Any]:
-  """Maps inputs to outptus via func concurrently under current context.
+  """Maps inputs to outputs via func concurrently under current context.
 
   Args:
     func: A user function.

langfun/core/langfunc.py

@@ -95,7 +95,7 @@ class ReAct(lf.LangFunc):
       {{ tool_examples }}
       {{ user_input }}
       '''
-      # Default preamble, which could be overriden from subclass
+      # Default preamble, which could be overridden from subclass
       # or parsed from the `__init__` argument.
       preamble = 'Please help me on my task based on the following tools.',
 

langfun/core/language_model.py

@@ -405,7 +405,7 @@ class LMSamplingUsage(pg.Object):
       float | None,
       (
           'Estimated cost in US dollars. If None, cost estimating is not '
-          'suppported on the model being queried.'
+          'supported on the model being queried.'
       ),
   ] = None
   retry_stats: RetryStats = RetryStats()
@@ -604,7 +604,7 @@ class LMScoringResult(pg.Object):
   ]
   gradients: Annotated[
       Any | None,
-      '(Optional) gradients from the score method, w.r.t.' +
+      '(Optional) gradients from the score method, w.r.t.'
       ' prompt.metadata.weights.',
   ] = None
 
@@ -677,7 +677,7 @@ class LanguageModel(component.Component):
   """Interface of a language model.
 
   Language models are at the center of LLM-based agents. ``LanguageModel``
-  is the interface to interact with different language modles.
+  is the interface to interact with different language models.
 
   In langfun, users can use different language models with the same agents,
   allowing fast prototype, as well as side-by-side comparisons.
@@ -715,7 +715,7 @@ class LanguageModel(component.Component):
       int,
       (
           'A number of max attempts to request the LM if fails.'
-          'The retry wait time is determined per LM serivice.'
+          'The retry wait time is determined per LM service.'
       ),
   ] = 5
 
@@ -724,7 +724,7 @@ class LanguageModel(component.Component):
       (
           'An integer as a constant wait time in seconds before next retry, '
           'or a tuple of two integers representing the range of wait time, '
-          'based on which the next wait time will be randmly chosen.'
+          'based on which the next wait time will be randomly chosen.'
       )
   ] = (5, 60)
 
@@ -839,7 +839,7 @@ def model_id(self) -> str:
   @final
   @property
   def resource_id(self) -> str:
-    """Resource ID for performing request parallism control."""
+    """Resource ID for performing request parallelism control."""
     return self.model_info.resource_id
 
   @final
@@ -1320,7 +1320,7 @@ def estimate_max_concurrency(
       max_requests_per_minute: int | None,
       average_tokens_per_request: int = 250
   ) -> int | None:
-    """Estimates max concurrency concurrency based on the rate limits."""
+    """Estimates max concurrency based on the rate limits."""
     # NOTE(daiyip): max concurrency is estimated based on the rate limit.
     # We assume each request has approximately 250 tokens, and each request
     # takes 1 second to complete. This might not be accurate for all models.
@@ -1374,7 +1374,7 @@ def get(
 
 
 class UsageSummary(pg.Object, pg.views.HtmlTreeView.Extension):
-  """Usage sumary."""
+  """Usage summary."""
 
   class AggregatedUsage(pg.Object):
     """Aggregated usage."""
@@ -1589,7 +1589,7 @@ def track_usages(
     *lm: The language model(s) to track. If None, track all models in scope.
 
   Yields:
-    A dictionary of model ID to usage. If a model does not supports usage
+    A dictionary of model ID to usage. If a model does not support usage
     counting, the dict entry will be None.
   """
   if not lm:

langfun/core/language_model_test.py

@@ -9,7 +9,7 @@
 # Unless required by applicable law or agreed to in writing, software
 # distributed under the License is distributed on an "AS IS" BASIS,
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the infoific language governing permissions and
+# See the License for the specific language governing permissions and
 # limitations under the License.
 """Tests for language model."""
 

langfun/core/message.py

@@ -40,7 +40,7 @@ class Message(
   meta-data.
 
   The subclasses of ``Message`` represent messages sent from different roles.
-  Agents may use the roles to decide the orchastration logic.
+  Agents may use the roles to decide the orchestration logic.
   """
 
   #
@@ -75,7 +75,7 @@ class Message(
   # Constant that tags a message that is generated by `LangFunc.render`
   TAG_RENDERED = 'rendered'
 
-  # Constant that tags an transformed message.
+  # Constant that tags a transformed message.
   TAG_TRANSFORMED = 'transformed'
 
   #
@@ -90,7 +90,7 @@ class Message(
       dict[str, Any],
       (
           'The metadata associated with the message, '
-          'which chould carry structured data, such as tool function input. '
+          'which should carry structured data, such as tool function input. '
           'It is a `pg.Dict` object whose keys can be accessed by attributes.'
       ),
   ] = pg.Dict()
@@ -132,7 +132,7 @@ def __init__(
       sealed: If True, seal the object from future modification (unless under a
         `pg.seal(False)` context manager). If False, treat the object as
         unsealed. If None, it's determined by `cls.allow_symbolic_mutation`.
-      root_path: The symbolic path for current object. By default it's None,
+      root_path: The symbolic path for current object. By default, it's None,
         which indicates that newly constructed object does not have a parent.
       **kwargs: key/value pairs that will be inserted into metadata.
     """
@@ -382,7 +382,7 @@ def get_modality(
       var_name: The referred variable name for the modality object.
       default: default value.
       from_message_chain: If True, the look up will be performed from the
-        message chain. Otherwise it will be performed in current message.
+        message chain. Otherwise, it will be performed in current message.
 
     Returns:
       A modality object if found, otherwise None.

langfun/core/modality.py

@@ -50,7 +50,7 @@ def format(self, *args, **kwargs) -> str:
     return Modality.text_marker(self.referred_name)
 
   def __str_kwargs__(self) -> dict[str, Any]:
-    # For modality objects, we don't want to use markdown format when they
+    # For modality objects, we don't want to use Markdown format when they
     # are rendered as parts of the prompt.
     kwargs = super().__str_kwargs__()
     kwargs.pop('markdown', None)

langfun/core/sampling.py

@@ -46,7 +46,7 @@ def sweep(
     num_examples: Number of examples to sample.
     max_workers: Max number of concurrent workers to do sampling.
     silence_on_errors: Return None for `lm_input` and `lm_output` when errors
-      in this category happen. Otherwise error will be raised during sampling.
+      in this category happen. Otherwise, error will be raised during sampling.
     ignore_examples_with_errors: If True, the examples with erratic lm_input
       or lm_output will not be included.
     **kwargs: Keyword arguments as rendering variables.
@@ -92,7 +92,7 @@ def random_sample(
     num_examples: Number of examples to sample.
     max_workers: Max number of concurrent workers to do sampling.
     silence_on_errors: Return None for `lm_input` and `lm_output` when errors
-      in this category happen. Otherwise error will be raised during sampling.
+      in this category happen. Otherwise, error will be raised during sampling.
     ignore_examples_with_errors: If True, the examples with erratic lm_input
       or lm_output will not be included.
     seed: Random seed.

langfun/core/subscription.py

@@ -51,7 +51,7 @@ def sender_type(cls) -> Type[Any]:
 
   @classmethod
   def accepts(cls, event: Event[Any]) -> bool:
-    """Returns True if current event handler class can accepts an event."""
+    """Returns True if current event handler class can accept an event."""
     return isinstance(event, cls.event_type())
 
   @abc.abstractmethod

langfun/core/template.py

@@ -51,7 +51,7 @@ class Template(
 ):
   """Langfun string template.
 
-  Langfun uses jinja2 as its template engine. Pleaes check out
+  Langfun uses jinja2 as its template engine. Please check out
   https://jinja.palletsprojects.com/en/3.1.x/templates/ for detailed
   explanation on the template language.
   """
@@ -85,7 +85,7 @@ class Template(
   ]
 
   def __init_subclass__(cls):
-    # NOTE(daiyip): class attribute `template_str` may exists in 2 ways:
+    # NOTE(daiyip): class attribute `template_str` may exist in 2 ways:
     # A string: specified by the user as the new default value for template_str.
     # A property: inherited from the base class. In this case, we only update
     #   its default value when template_str can be extracted from the docstr.
@@ -366,7 +366,7 @@ def render(
       assert top is self, (top, self)
 
   def additional_metadata(self) -> dict[str, Any]:
-    """Returns additional metadta to be carried in the rendered message."""
+    """Returns additional metadata to be carried in the rendered message."""
     metadata = {}
     # Carry metadata from `lf.context`.
     for k, v in component.all_contextual_values().items():