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feat: add reasoning token support to lc #168

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merged 2 commits into from
Mar 25, 2025
Merged

feat: add reasoning token support to lc #168

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b1cb490
feat: add reasoning token support to lc
willydouhard Mar 25, 2025
561240c
fix: mypy
willydouhard Mar 25, 2025
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73 changes: 66 additions & 7 deletions literalai/callback/langchain_callback.py
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Original file line number Diff line number Diff line change
Expand Up @@ -92,7 +92,33 @@ def _convert_message_dict(
if function_call:
msg["function_call"] = function_call
else:
msg["content"] = kwargs.get("content", "")
content = kwargs.get("content")
if isinstance(content, list):
tool_calls = []
content_parts = []
for item in content:
if item.get("type") == "tool_use":
tool_calls.append(
{
"id": item.get("id"),
"type": "function",
"function": {
"name": item.get("name"),
"arguments": item.get("input"),
},
}
)
elif item.get("type") == "text":
content_parts.append(
{"type": "text", "text": item.get("text")}
)

if tool_calls:
msg["tool_calls"] = tool_calls
if content_parts:
msg["content"] = content_parts # type: ignore
else:
msg["content"] = content # type: ignore

if tool_calls:
msg["tool_calls"] = tool_calls
Expand Down Expand Up @@ -123,7 +149,34 @@ def _convert_message(
if function_call:
msg["function_call"] = function_call
else:
msg["content"] = message.content # type: ignore
if isinstance(message.content, list):
tool_calls = []
content_parts = []
for item in message.content:
if isinstance(item, str):
continue
if item.get("type") == "tool_use":
tool_calls.append(
{
"id": item.get("id"),
"type": "function",
"function": {
"name": item.get("name"),
"arguments": item.get("input"),
},
}
)
elif item.get("type") == "text":
content_parts.append(
{"type": "text", "text": item.get("text")}
)

if tool_calls:
msg["tool_calls"] = tool_calls
if content_parts:
msg["content"] = content_parts # type: ignore
else:
msg["content"] = message.content # type: ignore

if tool_calls:
msg["tool_calls"] = tool_calls
Expand Down Expand Up @@ -201,7 +254,12 @@ def _build_llm_settings(
{"type": "function", "function": f} for f in settings["functions"]
]
if "tools" in settings:
tools = settings["tools"]
tools = [
{"type": "function", "function": t}
if t.get("type") != "function"
else t
for t in settings["tools"]
]
return provider, model, tools, settings

DEFAULT_TO_IGNORE = [
Expand Down Expand Up @@ -411,7 +469,9 @@ def _start_trace(self, run: Run) -> None:
)
step.tags = run.tags
step.metadata = run.metadata
step.input = self.process_content(run.inputs)

if step.type != "llm":
step.input = self.process_content(run.inputs)

self.steps[str(run.id)] = step

Expand Down Expand Up @@ -484,7 +544,6 @@ def _on_run_update(self, run: Run) -> None:
if v is not None
}

current_step.output = message_completion
else:
completion_start = self.completion_generations[str(run.id)]
duration = time.time() - completion_start["start"]
Expand All @@ -509,7 +568,6 @@ def _on_run_update(self, run: Run) -> None:
output_token_count=usage_metadata.get("output_tokens"),
token_count=usage_metadata.get("total_tokens"),
)
current_step.output = {"content": completion}

if current_step:
if current_step.metadata is None:
Expand All @@ -521,7 +579,8 @@ def _on_run_update(self, run: Run) -> None:
outputs = run.outputs or {}

if current_step:
current_step.output = self.process_content(outputs)
if current_step.type != "llm":
current_step.output = self.process_content(outputs)
current_step.end()

def _on_error(self, error: BaseException, *, run_id: "UUID", **kwargs: Any):
Expand Down