feat: privacy_mode

llm_observability_examples.py

@@ -9,10 +9,12 @@
 posthog.personal_api_key = os.getenv("POSTHOG_PERSONAL_API_KEY", "your-personal-api-key")
 posthog.host = os.getenv("POSTHOG_HOST", "http://localhost:8000")  # Or https://app.posthog.com
 posthog.debug = True
+# change this to False to see usage events
+posthog.privacy_mode = True
 
 openai_client = OpenAI(
     api_key=os.getenv("OPENAI_API_KEY", "your-openai-api-key"),
-    posthog_client=posthog,
+    posthog_client=posthog
 )
 
 async_openai_client = AsyncOpenAI(

posthog/__init__.py

@@ -26,6 +26,8 @@
 exception_autocapture_integrations = []  # type: List[Integrations]
 # Used to determine in app paths for exception autocapture. Defaults to the current working directory
 project_root = None  # type: Optional[str]
+# Used for our AI observability feature to not capture any prompt or output just usage + metadata
+privacy_mode = False  # type: bool
 
 default_client = None  # type: Optional[Client]
 

posthog/ai/openai/openai.py

@@ -8,7 +8,7 @@
 except ImportError:
     raise ModuleNotFoundError("Please install the OpenAI SDK to use this feature: 'pip install openai'")
 
-from posthog.ai.utils import call_llm_and_track_usage, get_model_params
+from posthog.ai.utils import call_llm_and_track_usage, get_model_params, with_privacy_mode
 from posthog.client import Client as PostHogClient
 
 
@@ -142,15 +142,15 @@ def _capture_streaming_event(
             "$ai_provider": "openai",
             "$ai_model": kwargs.get("model"),
             "$ai_model_parameters": get_model_params(kwargs),
-            "$ai_input": kwargs.get("messages"),
-            "$ai_output": {
+            "$ai_input": with_privacy_mode(self._client._ph_client, kwargs.get("messages")),
+            "$ai_output": with_privacy_mode(self._client._ph_client, {
                 "choices": [
                     {
                         "content": output,
                         "role": "assistant",
                     }
                 ]
-            },
+            }),
             "$ai_http_status": 200,
             "$ai_input_tokens": usage_stats.get("prompt_tokens", 0),
             "$ai_output_tokens": usage_stats.get("completion_tokens", 0),
@@ -214,7 +214,7 @@ def create(
         event_properties = {
             "$ai_provider": "openai",
             "$ai_model": kwargs.get("model"),
-            "$ai_input": kwargs.get("input"),
+            "$ai_input": with_privacy_mode(self._client._ph_client, kwargs.get("input")),
             "$ai_http_status": 200,
             "$ai_input_tokens": usage_stats.get("prompt_tokens", 0),
             "$ai_latency": latency,

posthog/ai/openai/openai_async.py

@@ -8,7 +8,7 @@
 except ImportError:
     raise ModuleNotFoundError("Please install the OpenAI SDK to use this feature: 'pip install openai'")
 
-from posthog.ai.utils import call_llm_and_track_usage_async, get_model_params
+from posthog.ai.utils import call_llm_and_track_usage_async, get_model_params, with_privacy_mode
 from posthog.client import Client as PostHogClient
 
 
@@ -141,15 +141,15 @@ def _capture_streaming_event(
             "$ai_provider": "openai",
             "$ai_model": kwargs.get("model"),
             "$ai_model_parameters": get_model_params(kwargs),
-            "$ai_input": kwargs.get("messages"),
-            "$ai_output": {
+            "$ai_input": with_privacy_mode(self._client._ph_client, kwargs.get("messages")),
+            "$ai_output": with_privacy_mode(self._client._ph_client, {
                 "choices": [
                     {
                         "content": output,
                         "role": "assistant",
                     }
                 ]
-            },
+            }),
             "$ai_http_status": 200,
             "$ai_input_tokens": usage_stats.get("prompt_tokens", 0),
             "$ai_output_tokens": usage_stats.get("completion_tokens", 0),
@@ -213,7 +213,7 @@ async def create(
         event_properties = {
             "$ai_provider": "openai",
             "$ai_model": kwargs.get("model"),
-            "$ai_input": kwargs.get("input"),
+            "$ai_input": with_privacy_mode(self._client._ph_client, kwargs.get("input")),
             "$ai_http_status": 200,
             "$ai_input_tokens": usage_stats.get("prompt_tokens", 0),
             "$ai_latency": latency,

posthog/ai/utils.py

@@ -86,8 +86,8 @@ def call_llm_and_track_usage(
             "$ai_provider": "openai",
             "$ai_model": kwargs.get("model"),
             "$ai_model_parameters": get_model_params(kwargs),
-            "$ai_input": kwargs.get("messages"),
-            "$ai_output": format_response(response),
+            "$ai_input": with_privacy_mode(ph_client, kwargs.get("messages")),
+            "$ai_output": with_privacy_mode(ph_client, format_response(response)),
             "$ai_http_status": http_status,
             "$ai_input_tokens": input_tokens,
             "$ai_output_tokens": output_tokens,
@@ -150,8 +150,8 @@ async def call_llm_and_track_usage_async(
             "$ai_provider": "openai",
             "$ai_model": kwargs.get("model"),
             "$ai_model_parameters": get_model_params(kwargs),
-            "$ai_input": kwargs.get("messages"),
-            "$ai_output": format_response(response),
+            "$ai_input": with_privacy_mode(ph_client, kwargs.get("messages")),
+            "$ai_output": with_privacy_mode(ph_client, format_response(response)),
             "$ai_http_status": http_status,
             "$ai_input_tokens": input_tokens,
             "$ai_output_tokens": output_tokens,
@@ -176,3 +176,8 @@ async def call_llm_and_track_usage_async(
         raise error
 
     return response
+
+def with_privacy_mode(ph_client: PostHogClient, value: Any):
+    if ph_client.privacy_mode:
+        return None
+    return value