feat(llma): add $ai_stop_reason extraction for all providers

Extracts finish_reason/stop_reason from OpenAI, Anthropic, and Gemini responses
(both streaming and non-streaming) and captures it as $ai_stop_reason. Also
adds support for LangChain, OpenAI Agents SDK, and Claude Agent SDK.

Author: carlos-marchal-ph

posthog/ai/anthropic/anthropic.py

@@ -131,6 +131,7 @@ def _create_streaming(
         content_blocks: List[StreamingContentBlock] = []
         tools_in_progress: Dict[str, ToolInProgress] = {}
         current_text_block: Optional[StreamingContentBlock] = None
+        stop_reason: Optional[str] = None
         response = super().create(**kwargs)
 
         def generator():
@@ -139,6 +140,7 @@ def generator():
             nonlocal content_blocks
             nonlocal tools_in_progress
             nonlocal current_text_block
+            nonlocal stop_reason
 
             try:
                 for event in response:
@@ -181,6 +183,14 @@ def generator():
                             event, content_blocks, tools_in_progress
                         )
 
+                    # Capture stop reason from message_delta events
+                    if hasattr(event, "type") and event.type == "message_delta":
+                        delta = getattr(event, "delta", None)
+                        if delta is not None:
+                            delta_stop_reason = getattr(delta, "stop_reason", None)
+                            if delta_stop_reason is not None:
+                                stop_reason = delta_stop_reason
+
                     yield event
 
             finally:
@@ -198,6 +208,7 @@ def generator():
                     latency,
                     content_blocks,
                     accumulated_content,
+                    stop_reason=stop_reason,
                 )
 
         return generator()
@@ -214,6 +225,7 @@ def _capture_streaming_event(
         latency: float,
         content_blocks: List[StreamingContentBlock],
         accumulated_content: str,
+        stop_reason: Optional[str] = None,
     ):
         from posthog.ai.types import StreamingEventData
         from posthog.ai.anthropic.anthropic_converter import (
@@ -242,6 +254,7 @@ def _capture_streaming_event(
             properties=posthog_properties,
             privacy_mode=posthog_privacy_mode,
             groups=posthog_groups,
+            stop_reason=stop_reason,
         )
 
         # Use the common capture function

posthog/ai/anthropic/anthropic_async.py

@@ -131,6 +131,7 @@ async def _create_streaming(
         content_blocks: List[StreamingContentBlock] = []
         tools_in_progress: Dict[str, ToolInProgress] = {}
         current_text_block: Optional[StreamingContentBlock] = None
+        stop_reason: Optional[str] = None
         response = await super().create(**kwargs)
 
         async def generator():
@@ -139,6 +140,7 @@ async def generator():
             nonlocal content_blocks
             nonlocal tools_in_progress
             nonlocal current_text_block
+            nonlocal stop_reason
 
             try:
                 async for event in response:
@@ -181,6 +183,14 @@ async def generator():
                             event, content_blocks, tools_in_progress
                         )
 
+                    # Capture stop reason from message_delta events
+                    if hasattr(event, "type") and event.type == "message_delta":
+                        delta = getattr(event, "delta", None)
+                        if delta is not None:
+                            delta_stop_reason = getattr(delta, "stop_reason", None)
+                            if delta_stop_reason is not None:
+                                stop_reason = delta_stop_reason
+
                     yield event
 
             finally:
@@ -198,6 +208,7 @@ async def generator():
                     latency,
                     content_blocks,
                     accumulated_content,
+                    stop_reason=stop_reason,
                 )
 
         return generator()
@@ -214,6 +225,7 @@ async def _capture_streaming_event(
         latency: float,
         content_blocks: List[StreamingContentBlock],
         accumulated_content: str,
+        stop_reason: Optional[str] = None,
     ):
         from posthog.ai.types import StreamingEventData
         from posthog.ai.anthropic.anthropic_converter import (
@@ -242,6 +254,7 @@ async def _capture_streaming_event(
             properties=posthog_properties,
             privacy_mode=posthog_privacy_mode,
             groups=posthog_groups,
+            stop_reason=stop_reason,
         )
 
         # Use the common capture function

posthog/ai/anthropic/anthropic_converter.py

@@ -190,6 +190,11 @@ def extract_anthropic_web_search_count(response: Any) -> int:
     return 0
 
 
+def extract_anthropic_stop_reason(response: Any) -> Optional[str]:
+    """Extract stop reason from Anthropic response."""
+    return getattr(response, "stop_reason", None)
+
+
 def extract_anthropic_usage_from_response(response: Any) -> TokenUsage:
     """
     Extract usage from a full Anthropic response (non-streaming).

posthog/ai/claude_agent_sdk/processor.py

@@ -42,6 +42,7 @@ class _GenerationData:
     start_time: float = 0.0
     end_time: float = 0.0
     span_id: str = field(default_factory=lambda: str(uuid.uuid4()))
+    stop_reason: Optional[str] = None
 
 
 class _GenerationTracker:
@@ -81,6 +82,10 @@ def process_stream_event(self, event: "StreamEvent") -> None:
             # message_delta usage reports cumulative output tokens
             if usage.get("output_tokens"):
                 self._current.output_tokens = usage["output_tokens"]
+            # Extract stop reason from message_delta
+            delta_stop_reason = raw.get("delta", {}).get("stop_reason")
+            if delta_stop_reason is not None:
+                self._current.stop_reason = delta_stop_reason
 
         elif event_type == "message_stop" and self._current is not None:
             self._current.end_time = time.time()
@@ -435,6 +440,9 @@ def _emit_generation(
                 gen.cache_creation_input_tokens
             )
 
+        if gen.stop_reason is not None:
+            properties["$ai_stop_reason"] = gen.stop_reason
+
         if resolved_id is None:
             properties["$process_person_profile"] = False
 

posthog/ai/gemini/gemini.py

@@ -22,6 +22,7 @@
 from posthog.ai.gemini.gemini_converter import (
     extract_gemini_usage_from_chunk,
     extract_gemini_content_from_chunk,
+    extract_gemini_stop_reason_from_chunk,
     format_gemini_streaming_output,
 )
 from posthog.ai.sanitization import sanitize_gemini
@@ -298,13 +299,15 @@ def _generate_content_streaming(
         start_time = time.time()
         usage_stats: TokenUsage = TokenUsage(input_tokens=0, output_tokens=0)
         accumulated_content = []
+        stop_reason: Optional[str] = None
 
         kwargs_without_stream = {"model": model, "contents": contents, **kwargs}
         response = self._client.models.generate_content_stream(**kwargs_without_stream)
 
         def generator():
             nonlocal usage_stats
             nonlocal accumulated_content
+            nonlocal stop_reason
             try:
                 for chunk in response:
                     # Extract usage stats from chunk
@@ -320,6 +323,11 @@ def generator():
                     if content_block is not None:
                         accumulated_content.append(content_block)
 
+                    # Extract stop reason from chunk
+                    chunk_stop_reason = extract_gemini_stop_reason_from_chunk(chunk)
+                    if chunk_stop_reason is not None:
+                        stop_reason = chunk_stop_reason
+
                     yield chunk
 
             finally:
@@ -338,6 +346,7 @@ def generator():
                     usage_stats,
                     latency,
                     accumulated_content,
+                    stop_reason=stop_reason,
                 )
 
         return generator()
@@ -355,6 +364,7 @@ def _capture_streaming_event(
         usage_stats: TokenUsage,
         latency: float,
         output: Any,
+        stop_reason: Optional[str] = None,
     ):
         # Prepare standardized event data
         formatted_input = self._format_input(contents, **kwargs)
@@ -374,6 +384,7 @@ def _capture_streaming_event(
             properties=properties,
             privacy_mode=privacy_mode,
             groups=groups,
+            stop_reason=stop_reason,
         )
 
         # Use the common capture function

posthog/ai/gemini/gemini_async.py

@@ -22,6 +22,7 @@
 from posthog.ai.gemini.gemini_converter import (
     extract_gemini_usage_from_chunk,
     extract_gemini_content_from_chunk,
+    extract_gemini_stop_reason_from_chunk,
     format_gemini_streaming_output,
 )
 from posthog.ai.sanitization import sanitize_gemini
@@ -298,6 +299,7 @@ async def _generate_content_streaming(
         start_time = time.time()
         usage_stats: TokenUsage = TokenUsage(input_tokens=0, output_tokens=0)
         accumulated_content = []
+        stop_reason: Optional[str] = None
 
         kwargs_without_stream = {"model": model, "contents": contents, **kwargs}
         response = await self._client.aio.models.generate_content_stream(
@@ -307,6 +309,7 @@ async def _generate_content_streaming(
         async def async_generator():
             nonlocal usage_stats
             nonlocal accumulated_content
+            nonlocal stop_reason
 
             try:
                 async for chunk in response:
@@ -323,6 +326,11 @@ async def async_generator():
                     if content_block is not None:
                         accumulated_content.append(content_block)
 
+                    # Extract stop reason from chunk
+                    chunk_stop_reason = extract_gemini_stop_reason_from_chunk(chunk)
+                    if chunk_stop_reason is not None:
+                        stop_reason = chunk_stop_reason
+
                     yield chunk
 
             finally:
@@ -341,6 +349,7 @@ async def async_generator():
                     usage_stats,
                     latency,
                     accumulated_content,
+                    stop_reason=stop_reason,
                 )
 
         return async_generator()
@@ -358,6 +367,7 @@ def _capture_streaming_event(
         usage_stats: TokenUsage,
         latency: float,
         output: Any,
+        stop_reason: Optional[str] = None,
     ):
         # Prepare standardized event data
         formatted_input = self._format_input(contents, **kwargs)
@@ -377,6 +387,7 @@ def _capture_streaming_event(
             properties=properties,
             privacy_mode=privacy_mode,
             groups=groups,
+            stop_reason=stop_reason,
         )
 
         # Use the common capture function

posthog/ai/gemini/gemini_converter.py

@@ -287,6 +287,31 @@ def format_gemini_response(response: Any) -> List[FormattedMessage]:
     return output
 
 
+def extract_gemini_stop_reason(response: Any) -> Optional[str]:
+    """Extract stop reason from Gemini response."""
+    if response and hasattr(response, "candidates") and response.candidates:
+        candidate = response.candidates[0]
+        finish_reason = getattr(candidate, "finish_reason", None)
+        if finish_reason is not None:
+            # Gemini uses enum values — convert to string name
+            if hasattr(finish_reason, "name"):
+                return finish_reason.name
+            return str(finish_reason)
+    return None
+
+
+def extract_gemini_stop_reason_from_chunk(chunk: Any) -> Optional[str]:
+    """Extract stop reason from a Gemini streaming chunk."""
+    if chunk and hasattr(chunk, "candidates") and chunk.candidates:
+        candidate = chunk.candidates[0]
+        finish_reason = getattr(candidate, "finish_reason", None)
+        if finish_reason is not None:
+            if hasattr(finish_reason, "name"):
+                return finish_reason.name
+            return str(finish_reason)
+    return None
+
+
 def extract_gemini_system_instruction(config: Any) -> Optional[str]:
     """
     Extract system instruction from Gemini config parameter.

posthog/ai/langchain/callbacks.py

@@ -629,6 +629,15 @@ def _capture_generation(
                 self._ph_client, self._privacy_mode, completions
             )
 
+            # Extract stop reason from generation info
+            if output.generations and output.generations[-1]:
+                last_gen = output.generations[-1][-1]
+                gen_info = getattr(last_gen, "generation_info", None)
+                if isinstance(gen_info, dict):
+                    finish_reason = gen_info.get("finish_reason")
+                    if finish_reason is not None:
+                        event_properties["$ai_stop_reason"] = finish_reason
+
         self._ph_client.capture(
             distinct_id=self._distinct_id or trace_id,
             event="$ai_generation",