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a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx index bbf8e8fd..ed6999e7 100644 --- a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx +++ b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx @@ -88,76 +88,7 @@ await openaiClient.chat.completions.create({ ## Rule-based masking of inputs and outputs -:::info -This feature is available in the following LangSmith SDK versions: - -- Python: 0.1.81 and above -- TypeScript: 0.1.33 and above - -::: - -To mask specific data in inputs and outputs, you can use the `create_anonymizer` / `createAnonymizer` function and pass the newly created anonymizer when instantiating the client. The anonymizer can be either constructed from a list of regex patterns and the replacement values or from a function that accepts and returns a string value. - -The anonymizer will be skipped for inputs if `LANGCHAIN_HIDE_INPUTS = true`. Same applies for outputs if `LANGCHAIN_HIDE_OUTPUTS = true`. - -However, if inputs or outputs are to be sent to client, the `anonymizer` method will take precedence over functions found in `hide_inputs` and `hide_outputs`. By default, the `create_anonymizer` will only look at maximum of 10 nesting levels deep, which can be configured via the `max_depth` parameter. - -" }, - { "pattern": r"[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}", "replace": "" } - ]) - - # or create anonymizer from a function - anonymizer = create_anonymizer(lambda text: r"...".sub("[value]", text)) - - client = Client(anonymizer=anonymizer) - - @traceable(client=client) - def main(inputs: dict) -> dict: - ... - `, - typescript` - import { createAnonymizer } from "langsmith/anonymizer" - import { traceable } from "langsmith/traceable" - import { Client } from "langsmith" - - // create anonymizer from list of regex patterns and replacement values - const anonymizer = createAnonymizer([ - { pattern: /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g, replace: "" }, - { pattern: /[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}/g, replace: "" } - ]) - - // or create anonymizer from a function - const anonymizer = createAnonymizer((value) => value.replace("...", "")) - - const client = new Client({ anonymizer }) - - const main = traceable(async (inputs: any) => { - // ... - }, { client }) - `, - ]} - groupId="client-language" -/> - -Please note, that using the anonymizer might incur a performance hit with complex regular expressions or large payloads, as the anonymizer serializes the payload to JSON before processing. - -:::note - -Improving the performance of `anonymizer` API is on our roadmap! If you are encountering performance issues, please contact us at support@langchain.dev. - -::: - -![](./static/hide_inputs_outputs.png) - -Older versions of LangSmith SDKs can use the `hide_inputs` and `hide_outputs` parameters to achieve the same effect. You can also use these parameters to process the inputs and outputs more efficiently as well. +To mask specific data in inputs and outputs, you can use the `hide_inputs` and `hide_outputs` parameters when instantiating the client. These parameters allow you to anonymize inputs and outputs by either applying a list of regex patterns with replacement values or using a custom function. Date: Wed, 20 Nov 2024 22:54:55 -0800 Subject: [PATCH 3/8] correct initialization --- .../tracing/mask_inputs_outputs.mdx | 41 +++++++++++++------ 1 file changed, 28 insertions(+), 13 deletions(-) diff --git a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx index ed6999e7..381762e8 100644 --- a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx +++ b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx @@ -374,11 +374,21 @@ def presidio_anonymize(data): Returns: any: The anonymized data. """ - if not isinstance(data, dict) or ('messages' not in data and 'message' not in data): + if not ( + 'messages' in data or + ( + 'choices' in data and + isinstance(data['choices'], list) and + data['choices'] and + 'message' in data['choices'][0] + ) +): return data - - messages = data.get('messages') or data.get('message') - for message in messages: + if 'messages' in data: + message_list = data['messages'] + else: + message_list = [data['choices'][0]['message']] + for message in message_list: results = analyzer.analyze( text=message['content'], entities=["PERSON", "PHONE_NUMBER", "EMAIL_ADDRESS", "US_SSN"], @@ -511,16 +521,21 @@ def comprehend_anonymize(data): Returns: any: The anonymized data. """ - if not isinstance(data, dict) or ('messages' not in data and 'message' not in data): + if not ( + 'messages' in data or + ( + 'choices' in data and + isinstance(data['choices'], list) and + data['choices'] and + 'message' in data['choices'][0] + ) +): return data - - messages = data.get('messages') or data.get('message') - - # Ensure messages is a list for consistent processing - if isinstance(messages, dict): - messages = [messages] - - for message in messages: + if 'messages' in data: + message_list = data['messages'] + else: + message_list = [data['choices'][0]['message']] + for message in message_list: content = message.get('content', '') entities = detect_pii(content) if entities: From 9467167f4373bb6a9c0611916fdc0f2e562e37ee Mon Sep 17 00:00:00 2001 From: David Xu Date: Wed, 20 Nov 2024 22:56:49 -0800 Subject: [PATCH 4/8] standardize comments --- .../observability/how_to_guides/tracing/mask_inputs_outputs.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx index 381762e8..8d325881 100644 --- a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx +++ b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx @@ -401,6 +401,7 @@ def presidio_anonymize(data): message['content'] = anonymized_result.text return data +# wrap the openai client openai_client = wrap_openai(openai.Client()) # initialize the langsmith client with the anonymization functions @@ -489,7 +490,6 @@ def redact_pii_entities(text, entities): return redacted_text -# Function to detect PII using AWS Comprehend def detect_pii(text): """ Detect PII entities in the given text using AWS Comprehend. From 36917b0ff92a9fac433fefeb75d11e23ac306c4b Mon Sep 17 00:00:00 2001 From: David Xu Date: Wed, 20 Nov 2024 22:58:21 -0800 Subject: [PATCH 5/8] delete unneeded commments --- .../observability/how_to_guides/tracing/mask_inputs_outputs.mdx | 2 -- 1 file changed, 2 deletions(-) diff --git a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx index 8d325881..2c525b5a 100644 --- a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx +++ b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx @@ -401,7 +401,6 @@ def presidio_anonymize(data): message['content'] = anonymized_result.text return data -# wrap the openai client openai_client = wrap_openai(openai.Client()) # initialize the langsmith client with the anonymization functions @@ -546,7 +545,6 @@ def comprehend_anonymize(data): return data -# wrap the openai client openai_client = wrap_openai(openai.Client()) # initialize the langsmith client with the anonymization functions From c9f3ea3db52f8039493666216bdb8ef770a14b89 Mon Sep 17 00:00:00 2001 From: David Xu Date: Wed, 20 Nov 2024 22:59:31 -0800 Subject: [PATCH 6/8] delete unneeded comment from regex function --- docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx | 1 - 1 file changed, 1 deletion(-) diff --git a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx index 2c525b5a..0c1067cc 100644 --- a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx +++ b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx @@ -298,7 +298,6 @@ def recursive_anonymize(data, depth=10): else: return data -# Wrap the OpenAI client openai_client = wrap_openai(openai.Client()) # Initialize the LangSmith client with the anonymization functions From 31c7293a987ddee7ad720a2ee1854d901cf1d8e1 Mon Sep 17 00:00:00 2001 From: David Xu Date: Wed, 20 Nov 2024 23:16:24 -0800 Subject: [PATCH 7/8] standardize use of content --- .../how_to_guides/tracing/mask_inputs_outputs.mdx | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx index 0c1067cc..b8fc6bda 100644 --- a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx +++ b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx @@ -388,13 +388,14 @@ def presidio_anonymize(data): else: message_list = [data['choices'][0]['message']] for message in message_list: + content = message.get('content', '') results = analyzer.analyze( - text=message['content'], + text=content, entities=["PERSON", "PHONE_NUMBER", "EMAIL_ADDRESS", "US_SSN"], language='en' ) anonymized_result = anonymizer.anonymize( - text=message['content'], + text=content, analyzer_results=results ) message['content'] = anonymized_result.text From 3ad2e2c5937b3881d42e859e7d1c176689f80bb0 Mon Sep 17 00:00:00 2001 From: David Xu Date: Sun, 24 Nov 2024 22:53:09 -0800 Subject: [PATCH 8/8] cleaner implementation for checking whether message exists. fixing create anonymizer --- .../tracing/mask_inputs_outputs.mdx | 114 ++++++++++++++---- 1 file changed, 89 insertions(+), 25 deletions(-) diff --git a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx index b8fc6bda..f6f6db0c 100644 --- a/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx +++ b/docs/observability/how_to_guides/tracing/mask_inputs_outputs.mdx @@ -88,7 +88,83 @@ await openaiClient.chat.completions.create({ ## Rule-based masking of inputs and outputs -To mask specific data in inputs and outputs, you can use the `hide_inputs` and `hide_outputs` parameters when instantiating the client. These parameters allow you to anonymize inputs and outputs by either applying a list of regex patterns with replacement values or using a custom function. +:::info +This feature is available in the following LangSmith SDK versions: + +- Python: 0.1.81 and above +- TypeScript: 0.1.33 and above + +::: + +To mask specific data in inputs and outputs, you can use the `create_anonymizer` / `createAnonymizer` function and pass the newly created anonymizer when instantiating the client. The anonymizer can be either constructed from a list of regex patterns and the replacement values or from a function that accepts and returns a string value. + +The anonymizer will be skipped for inputs if `LANGCHAIN_HIDE_INPUTS = true`. Same applies for outputs if `LANGCHAIN_HIDE_OUTPUTS = true`. + +However, if inputs or outputs are to be sent to client, the `anonymizer` method will take precedence over functions found in `hide_inputs` and `hide_outputs`. By default, the `create_anonymizer` will only look at maximum of 10 nesting levels deep, which can be configured via the `max_depth` parameter. + +" }, + { "pattern": r"[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}", "replace": "" } + ]) + + # or create anonymizer from a function + email_pattern = re.compile(r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}") + uuid_pattern = re.compile(r"[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}") + + anonymizer = create_anonymizer( + lambda text: email_pattern.sub("", uuid_pattern.sub("", text)) + ) + + client = Client(anonymizer=anonymizer) + + @traceable(client=client) + def main(inputs: dict) -> dict: + ... + `, + typescript` + import { createAnonymizer } from "langsmith/anonymizer" + import { traceable } from "langsmith/traceable" + import { Client } from "langsmith" + + // create anonymizer from list of regex patterns and replacement values + const anonymizer = createAnonymizer([ + { pattern: /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g, replace: "" }, + { pattern: /[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}/g, replace: "" } + ]) + + // or create anonymizer from a function + const anonymizer = createAnonymizer((value) => value.replace("...", "")) + + const client = new Client({ anonymizer }) + + const main = traceable(async (inputs: any) => { + // ... + }, { client }) + `, + +]} +groupId="client-language" +/> + +Please note, that using the anonymizer might incur a performance hit with complex regular expressions or large payloads, as the anonymizer serializes the payload to JSON before processing. + +:::note + +Improving the performance of `anonymizer` API is on our roadmap! If you are encountering performance issues, please contact us at support@langchain.dev. + +::: + +![](./static/hide_inputs_outputs.png) + +Older versions of LangSmith SDKs can use the `hide_inputs` and `hide_outputs` parameters to achieve the same effect. You can also use these parameters to process the inputs and outputs more efficiently as well.