Skip to content

trulens.apps.nemo

trulens.apps.nemo

Additional Dependency Required

To use this module, you must have the trulens-apps-nemo package installed.

pip install trulens-apps-nemo

Classes

RailsActionSelect

Bases: Select

Selector shorthands for NeMo Guardrails apps when used for evaluating feedback in actions.

These should not be used for feedback functions given to TruRails but instead for selectors in the FeedbackActions action invoked from with a rails app.

Attributes
Tru class-attribute instance-attribute
Tru: Lens = Lens()

Selector for the tru wrapper (TruLlama, TruChain, etc.).

Record class-attribute instance-attribute
Record: Lens = __record__

Selector for the record.

App class-attribute instance-attribute
App: Lens = __app__

Selector for the app.

RecordInput class-attribute instance-attribute
RecordInput: Lens = main_input

Selector for the main app input.

RecordOutput class-attribute instance-attribute
RecordOutput: Lens = main_output

Selector for the main app output.

RecordCalls class-attribute instance-attribute
RecordCalls: Lens = app

Selector for the calls made by the wrapped app.

Laid out by path into components.

RecordCall class-attribute instance-attribute
RecordCall: Lens = calls[-1]

Selector for the first called method (last to return).

RecordArgs class-attribute instance-attribute
RecordArgs: Lens = args

Selector for the whole set of inputs/arguments to the first called / last method call.

RecordRets class-attribute instance-attribute
RecordRets: Lens = rets

Selector for the whole output of the first called / last returned method call.

RecordSpans class-attribute instance-attribute
RecordSpans: Lens = spans

EXPERIMENTAL(otel-tracing): OTEL spans produced during tracing of a record.

This can include spans not created by trulens.

Action class-attribute instance-attribute
Action = action

Selector for action call parameters.

Events class-attribute instance-attribute
Events = events

Selector for events in action call parameters.

Context class-attribute instance-attribute
Context = context

Selector for context in action call parameters.

Warning

This is not the same "context" as in RAG triad. This is a parameter to rails actions that stores context of the rails app execution.

LLM class-attribute instance-attribute
LLM = llm

Selector for the language model in action call parameters.

Config class-attribute instance-attribute
Config = config

Selector for the configuration in action call parameters.

RetrievalContexts class-attribute instance-attribute
RetrievalContexts = relevant_chunks_sep

Selector for the retrieved contexts chunks returned from a KB search.

Equivalent to $relevant_chunks_sep in colang.

UserMessage class-attribute instance-attribute
UserMessage = user_message

Selector for the user message.

Equivalent to $user_message in colang.

BotMessage class-attribute instance-attribute
BotMessage = bot_message

Selector for the bot message.

Equivalent to $bot_message in colang.

LastUserMessage class-attribute instance-attribute
LastUserMessage = last_user_message

Selector for the last user message.

Equivalent to $last_user_message in colang.

LastBotMessage class-attribute instance-attribute
LastBotMessage = last_bot_message

Selector for the last bot message.

Equivalent to $last_bot_message in colang.

Functions
path_and_method staticmethod
path_and_method(select: Lens) -> Tuple[Lens, str]

If select names in method as the last attribute, extract the method name and the selector without the final method name.

dequalify staticmethod
dequalify(lens: Lens) -> Lens

If the given selector qualifies record or app, remove that qualification.

context staticmethod
context(app: Optional[Any] = None) -> Lens

DEPRECATED: Select the context (retrieval step outputs) of the given app.

for_record staticmethod
for_record(lens: Lens) -> Lens

Add the Record prefix to the beginning of the given lens.

for_app staticmethod
for_app(lens: Lens) -> Lens

Add the App prefix to the beginning of the given lens.

is_for_record_spans staticmethod
is_for_record_spans(lens: Lens) -> bool

Check if the given lens is for the spans of a record.

render_for_dashboard staticmethod
render_for_dashboard(lens: Lens) -> str

Render the given lens for use in dashboard to help user specify feedback functions.

RailsInstrument

Bases: Instrument

Instrumentation specification for NeMo Guardrails apps.

Attributes
INSTRUMENT class-attribute instance-attribute
INSTRUMENT = '__tru_instrumented'

Attribute name to be used to flag instrumented objects/methods/others.

APPS class-attribute instance-attribute
APPS = '__tru_apps'

Attribute name for storing apps that expect to be notified of calls.

Classes
Default

Default instrumentation specification.

Attributes
MODULES class-attribute instance-attribute
MODULES = union(MODULES)

Modules to instrument by name prefix.

Note that NeMo Guardrails uses LangChain internally for some things.

CLASSES class-attribute instance-attribute
CLASSES = lambda: union(CLASSES())

Instrument only these classes.

METHODS class-attribute instance-attribute
METHODS: Dict[str, ClassFilter] = dict_set_with_multikey(
    dict(METHODS),
    {
        "execute_action": ActionDispatcher,
        (
            "generate",
            "generate_async",
            "stream_async",
            "generate_events",
            "generate_events_async",
            "_get_events_for_messages",
        ): LLMRails,
        "search_relevant_chunks": KnowledgeBase,
        (
            "generate_user_intent",
            "generate_next_step",
            "generate_bot_message",
            "generate_value",
            "generate_intent_steps_message",
        ): LLMGenerationActions,
        "feedback": FeedbackActions,
    },
)

Instrument only methods with these names and of these classes.

Functions
print_instrumentation
print_instrumentation() -> None

Print out description of the modules, classes, methods this class will instrument.

to_instrument_object
to_instrument_object(obj: object) -> bool

Determine whether the given object should be instrumented.

to_instrument_class
to_instrument_class(cls: type) -> bool

Determine whether the given class should be instrumented.

to_instrument_module
to_instrument_module(module_name: str) -> bool

Determine whether a module with the given (full) name should be instrumented.

tracked_method_wrapper
tracked_method_wrapper(
    query: Lens,
    func: Callable,
    method_name: str,
    cls: type,
    obj: object,
)

Wrap a method to capture its inputs/outputs/errors.

instrument_method
instrument_method(method_name: str, obj: Any, query: Lens)

Instrument a method.

instrument_class
instrument_class(cls)

Instrument the given class cls's new method.

This is done so we can be aware when new instances are created and is needed for wrapped methods that dynamically create instances of classes we wish to instrument. As they will not be visible at the time we wrap the app, we need to pay attention to new to make a note of them when they are created and the creator's path. This path will be used to place these new instances in the app json structure.

instrument_object
instrument_object(
    obj, query: Lens, done: Optional[Set[int]] = None
)

Instrument the given object obj and its components.

TruRails

Bases: App

Recorder for apps defined using NeMo Guardrails.

PARAMETER DESCRIPTION
app

A NeMo Guardrails application.

TYPE: LLMRails

Attributes
tru_class_info instance-attribute
tru_class_info: Class

Class information of this pydantic object for use in deserialization.

Using this odd key to not pollute attribute names in whatever class we mix this into. Should be the same as CLASS_INFO.

app_id class-attribute instance-attribute
app_id: AppID = Field(frozen=True)

Unique identifier for this app.

Computed deterministically from app_name and app_version. Leaving it here for it to be dumped when serializing. Also making it read-only as it should not be changed after creation.

app_name instance-attribute
app_name: AppName

Name for this app. Default is "default_app".

app_version instance-attribute
app_version: AppVersion

Version tag for this app. Default is "base".

tags instance-attribute
tags: Tags = tags

Tags for the app.

metadata instance-attribute
metadata: Metadata

Metadata for the app.

feedback_definitions class-attribute instance-attribute
feedback_definitions: Sequence[FeedbackDefinitionID] = []

Feedback functions to evaluate on each record.

feedback_mode class-attribute instance-attribute
feedback_mode: FeedbackMode = WITH_APP_THREAD

How to evaluate feedback functions upon producing a record.

record_ingest_mode instance-attribute
record_ingest_mode: RecordIngestMode = record_ingest_mode

Mode of records ingestion.

root_class instance-attribute
root_class: Class

Class of the main instrumented object.

Ideally this would be a ClassVar but since we want to check this without instantiating the subclass of AppDefinition that would define it, we cannot use ClassVar.

initial_app_loader_dump class-attribute instance-attribute
initial_app_loader_dump: Optional[SerialBytes] = None

Serialization of a function that loads an app.

Dump is of the initial app state before any invocations. This can be used to create a new session.

Warning

Experimental work in progress.

app_extra_json instance-attribute
app_extra_json: JSON

Info to store about the app and to display in dashboard.

This can be used even if app itself cannot be serialized. app_extra_json, then, can stand in place for whatever data the user might want to keep track of about the app.

feedbacks class-attribute instance-attribute
feedbacks: List[Feedback] = Field(
    exclude=True, default_factory=list
)

Feedback functions to evaluate on each record.

session class-attribute instance-attribute
session: TruSession = Field(
    default_factory=TruSession, exclude=True
)

Session for this app.

connector property
connector: DBConnector

Database connector.

db property
db: DB

Database used by this app.

instrument class-attribute instance-attribute
instrument: Optional[Instrument] = Field(None, exclude=True)

Instrumentation class.

This is needed for serialization as it tells us which objects we want to be included in the json representation of this app.

recording_contexts class-attribute instance-attribute
recording_contexts: ContextVar[_RecordingContext] = Field(
    None, exclude=True
)

Sequences of records produced by the this class used as a context manager are stored in a RecordingContext.

Using a context var so that context managers can be nested.

instrumented_methods class-attribute instance-attribute
instrumented_methods: Dict[int, Dict[Callable, Lens]] = (
    Field(exclude=True, default_factory=dict)
)

Mapping of instrumented methods (by id(.) of owner object and the function) to their path in this app.

records_with_pending_feedback_results class-attribute instance-attribute
records_with_pending_feedback_results: BlockingSet[
    Record
] = Field(exclude=True, default_factory=BlockingSet)

Records produced by this app which might have yet to finish feedback runs.

manage_pending_feedback_results_thread class-attribute instance-attribute
manage_pending_feedback_results_thread: Optional[Thread] = (
    Field(exclude=True, default=None)
)

Thread for manager of pending feedback results queue.

See _manage_pending_feedback_results.

selector_check_warning class-attribute instance-attribute
selector_check_warning: bool = False

Issue warnings when selectors are not found in the app with a placeholder record.

If False, constructor will raise an error instead.

selector_nocheck class-attribute instance-attribute
selector_nocheck: bool = False

Ignore selector checks entirely.

This may be necessary 1if the expected record content cannot be determined before it is produced.

Functions
on_method_instrumented
on_method_instrumented(
    obj: object, func: Callable, path: Lens
)

Called by instrumentation system for every function requested to be instrumented by this app.

get_method_path
get_method_path(obj: object, func: Callable) -> Lens

Get the path of the instrumented function method relative to this app.

wrap_lazy_values
wrap_lazy_values(
    rets: Any,
    wrap: Callable[[T], T],
    on_done: Callable[[T], T],
    context_vars: Optional[ContextVarsOrValues],
) -> Any

Wrap any lazy values in the return value of a method call to invoke handle_done when the value is ready.

This is used to handle library-specific lazy values that are hidden in containers not visible otherwise. Visible lazy values like iterators, generators, awaitables, and async generators are handled elsewhere.

PARAMETER DESCRIPTION
rets

The return value of the method call.

TYPE: Any

wrap

A callback to be called when the lazy value is ready. Should return the input value or a wrapped version of it.

TYPE: Callable[[T], T]

on_done

Called when the lazy values is done and is no longer lazy. This as opposed to a lazy value that evaluates to another lazy values. Should return the value or wrapper.

TYPE: Callable[[T], T]

context_vars

The contextvars to be captured by the lazy value. If not given, all contexts are captured.

TYPE: Optional[ContextVarsOrValues]

RETURNS DESCRIPTION
Any

The return value with lazy values wrapped.

get_methods_for_func
get_methods_for_func(
    func: Callable,
) -> Iterable[Tuple[int, Callable, Lens]]

Get the methods (rather the inner functions) matching the given func and the path of each.

See WithInstrumentCallbacks.get_methods_for_func.

on_new_record
on_new_record(func) -> Iterable[_RecordingContext]

Called at the start of record creation.

See WithInstrumentCallbacks.on_new_record.

on_add_record
on_add_record(
    ctx: _RecordingContext,
    func: Callable,
    sig: Signature,
    bindings: BoundArguments,
    ret: Any,
    error: Any,
    perf: Perf,
    cost: Cost,
    existing_record: Optional[Record] = None,
    final: bool = False,
) -> Record

Called by instrumented methods if they use _new_record to construct a "record call list.

See WithInstrumentCallbacks.on_add_record.

__rich_repr__
__rich_repr__() -> Result

Requirement for pretty printing using the rich package.

load staticmethod
load(obj, *args, **kwargs)

Deserialize/load this object using the class information in tru_class_info to lookup the actual class that will do the deserialization.

model_validate classmethod
model_validate(*args, **kwargs) -> Any

Deserialized a jsonized version of the app into the instance of the class it was serialized from.

Note

This process uses extra information stored in the jsonized object and handled by WithClassInfo.

continue_session staticmethod
continue_session(
    app_definition_json: JSON, app: Any
) -> AppDefinition

Instantiate the given app with the given state app_definition_json.

Warning

This is an experimental feature with ongoing work.

PARAMETER DESCRIPTION
app_definition_json

The json serialized app.

TYPE: JSON

app

The app to continue the session with.

TYPE: Any

RETURNS DESCRIPTION
AppDefinition

A new AppDefinition instance with the given app and the given app_definition_json state.

new_session staticmethod
new_session(
    app_definition_json: JSON,
    initial_app_loader: Optional[Callable] = None,
) -> AppDefinition

Create an app instance at the start of a session.

Warning

This is an experimental feature with ongoing work.

Create a copy of the json serialized app with the enclosed app being initialized to its initial state before any records are produced (i.e. blank memory).

get_loadable_apps staticmethod
get_loadable_apps()

Gets a list of all of the loadable apps.

Warning

This is an experimental feature with ongoing work.

This is those that have initial_app_loader_dump set.

select_inputs classmethod
select_inputs() -> Lens

Get the path to the main app's call inputs.

select_outputs classmethod
select_outputs() -> Lens

Get the path to the main app's call outputs.

__del__
__del__()

Shut down anything associated with this app that might persist otherwise.

wait_for_feedback_results
wait_for_feedback_results(
    feedback_timeout: Optional[float] = None,
) -> List[Record]

Wait for all feedbacks functions to complete.

PARAMETER DESCRIPTION
feedback_timeout

Timeout in seconds for waiting for feedback results for each feedback function. Note that this is not the total timeout for this entire blocking call.

TYPE: Optional[float] DEFAULT: None

RETURNS DESCRIPTION
List[Record]

A list of records that have been waited on. Note a record will be included even if a feedback computation for it failed or timed out.

This applies to all feedbacks on all records produced by this app. This call will block until finished and if new records are produced while this is running, it will include them.

main_call
main_call(human: str) -> str

If available, a single text to a single text invocation of this app.

main_acall async
main_acall(human: str) -> str

If available, a single text to a single text invocation of this app.

json
json(*args, **kwargs)

Create a json string representation of this app.

awith_ async
awith_(
    func: CallableMaybeAwaitable[A, T], *args, **kwargs
) -> T

Call the given async func with the given *args and **kwargs while recording, producing func results.

The record of the computation is available through other means like the database or dashboard. If you need a record of this execution immediately, you can use awith_record or the App as a context manager instead.

with_ async
with_(func: Callable[[A], T], *args, **kwargs) -> T

Call the given async func with the given *args and **kwargs while recording, producing func results.

The record of the computation is available through other means like the database or dashboard. If you need a record of this execution immediately, you can use awith_record or the App as a context manager instead.

with_record
with_record(
    func: Callable[[A], T],
    *args,
    record_metadata: JSON = None,
    **kwargs
) -> Tuple[T, Record]

Call the given func with the given *args and **kwargs, producing its results as well as a record of the execution.

awith_record async
awith_record(
    func: Callable[[A], Awaitable[T]],
    *args,
    record_metadata: JSON = None,
    **kwargs
) -> Tuple[T, Record]

Call the given func with the given *args and **kwargs, producing its results as well as a record of the execution.

dummy_record
dummy_record(
    cost: Cost = Cost(),
    perf: Perf = now(),
    ts: datetime = now(),
    main_input: str = "main_input are strings.",
    main_output: str = "main_output are strings.",
    main_error: str = "main_error are strings.",
    meta: Dict = {"metakey": "meta are dicts"},
    tags: str = "tags are strings",
) -> Record

Create a dummy record with some of the expected structure without actually invoking the app.

The record is a guess of what an actual record might look like but will be missing information that can only be determined after a call is made.

All args are Record fields except these:

- `record_id` is generated using the default id naming schema.
- `app_id` is taken from this recorder.
- `calls` field is constructed based on instrumented methods.
instrumented
instrumented() -> Iterable[Tuple[Lens, ComponentView]]

Iteration over instrumented components and their categories.

print_instrumented
print_instrumented() -> None

Print the instrumented components and methods.

format_instrumented_methods
format_instrumented_methods() -> str

Build a string containing a listing of instrumented methods.

print_instrumented_methods
print_instrumented_methods() -> None

Print instrumented methods.

print_instrumented_components
print_instrumented_components() -> None

Print instrumented components and their categories.

main_output
main_output(
    func: Callable,
    sig: Signature,
    bindings: BoundArguments,
    ret: Any,
) -> JSON

Determine the main out string for the given function func with signature sig after it is called with the given bindings and has returned ret.

main_input
main_input(
    func: Callable, sig: Signature, bindings: BoundArguments
) -> JSON

Determine the main input string for the given function func with signature sig after it is called with the given bindings and has returned ret.

select_context classmethod
select_context(app: Optional[LLMRails] = None) -> Lens

Get the path to the context in the query output.

Functions