feat: Improve Observability with Arize & Phoenix Integration (#19840)

Co-authored-by: crazywoola <427733928@qq.com>
Co-authored-by: Gu <guchenhe@gmail.com>
This commit is contained in:
Ali Saleh
2025-07-03 10:52:14 +05:00
committed by GitHub
parent 31eb8548ef
commit 1af3d40c1a
50 changed files with 3816 additions and 358 deletions

View File

@@ -0,0 +1,720 @@
import hashlib
import json
import logging
import os
from datetime import datetime, timedelta
from typing import Optional, Union, cast
from openinference.semconv.trace import OpenInferenceSpanKindValues, SpanAttributes
from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter as GrpcOTLPSpanExporter
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter as HttpOTLPSpanExporter
from opentelemetry.sdk import trace as trace_sdk
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.id_generator import RandomIdGenerator
from opentelemetry.trace import SpanContext, TraceFlags, TraceState
from core.ops.base_trace_instance import BaseTraceInstance
from core.ops.entities.config_entity import ArizeConfig, PhoenixConfig
from core.ops.entities.trace_entity import (
BaseTraceInfo,
DatasetRetrievalTraceInfo,
GenerateNameTraceInfo,
MessageTraceInfo,
ModerationTraceInfo,
SuggestedQuestionTraceInfo,
ToolTraceInfo,
TraceTaskName,
WorkflowTraceInfo,
)
from extensions.ext_database import db
from models.model import EndUser, MessageFile
from models.workflow import WorkflowNodeExecutionModel
logger = logging.getLogger(__name__)
def setup_tracer(arize_phoenix_config: ArizeConfig | PhoenixConfig) -> tuple[trace_sdk.Tracer, SimpleSpanProcessor]:
"""Configure OpenTelemetry tracer with OTLP exporter for Arize/Phoenix."""
try:
# Choose the appropriate exporter based on config type
exporter: Union[GrpcOTLPSpanExporter, HttpOTLPSpanExporter]
if isinstance(arize_phoenix_config, ArizeConfig):
arize_endpoint = f"{arize_phoenix_config.endpoint}/v1"
arize_headers = {
"api_key": arize_phoenix_config.api_key or "",
"space_id": arize_phoenix_config.space_id or "",
"authorization": f"Bearer {arize_phoenix_config.api_key or ''}",
}
exporter = GrpcOTLPSpanExporter(
endpoint=arize_endpoint,
headers=arize_headers,
timeout=30,
)
else:
phoenix_endpoint = f"{arize_phoenix_config.endpoint}/v1/traces"
phoenix_headers = {
"api_key": arize_phoenix_config.api_key or "",
"authorization": f"Bearer {arize_phoenix_config.api_key or ''}",
}
exporter = HttpOTLPSpanExporter(
endpoint=phoenix_endpoint,
headers=phoenix_headers,
timeout=30,
)
attributes = {
"openinference.project.name": arize_phoenix_config.project or "",
"model_id": arize_phoenix_config.project or "",
}
resource = Resource(attributes=attributes)
provider = trace_sdk.TracerProvider(resource=resource)
processor = SimpleSpanProcessor(
exporter,
)
provider.add_span_processor(processor)
# Create a named tracer instead of setting the global provider
tracer_name = f"arize_phoenix_tracer_{arize_phoenix_config.project}"
logger.info(f"[Arize/Phoenix] Created tracer with name: {tracer_name}")
return cast(trace_sdk.Tracer, provider.get_tracer(tracer_name)), processor
except Exception as e:
logger.error(f"[Arize/Phoenix] Failed to setup the tracer: {str(e)}", exc_info=True)
raise
def datetime_to_nanos(dt: Optional[datetime]) -> int:
"""Convert datetime to nanoseconds since epoch. If None, use current time."""
if dt is None:
dt = datetime.now()
return int(dt.timestamp() * 1_000_000_000)
def uuid_to_trace_id(string: Optional[str]) -> int:
"""Convert UUID string to a valid trace ID (16-byte integer)."""
if string is None:
string = ""
hash_object = hashlib.sha256(string.encode())
# Take the first 16 bytes (128 bits) of the hash
digest = hash_object.digest()[:16]
# Convert to integer (128 bits)
return int.from_bytes(digest, byteorder="big")
class ArizePhoenixDataTrace(BaseTraceInstance):
def __init__(
self,
arize_phoenix_config: ArizeConfig | PhoenixConfig,
):
super().__init__(arize_phoenix_config)
import logging
logging.basicConfig()
logging.getLogger().setLevel(logging.DEBUG)
self.arize_phoenix_config = arize_phoenix_config
self.tracer, self.processor = setup_tracer(arize_phoenix_config)
self.project = arize_phoenix_config.project
self.file_base_url = os.getenv("FILES_URL", "http://127.0.0.1:5001")
def trace(self, trace_info: BaseTraceInfo):
logger.info(f"[Arize/Phoenix] Trace: {trace_info}")
try:
if isinstance(trace_info, WorkflowTraceInfo):
self.workflow_trace(trace_info)
if isinstance(trace_info, MessageTraceInfo):
self.message_trace(trace_info)
if isinstance(trace_info, ModerationTraceInfo):
self.moderation_trace(trace_info)
if isinstance(trace_info, SuggestedQuestionTraceInfo):
self.suggested_question_trace(trace_info)
if isinstance(trace_info, DatasetRetrievalTraceInfo):
self.dataset_retrieval_trace(trace_info)
if isinstance(trace_info, ToolTraceInfo):
self.tool_trace(trace_info)
if isinstance(trace_info, GenerateNameTraceInfo):
self.generate_name_trace(trace_info)
except Exception as e:
logger.error(f"[Arize/Phoenix] Error in the trace: {str(e)}", exc_info=True)
raise
def workflow_trace(self, trace_info: WorkflowTraceInfo):
if trace_info.message_data is None:
return
workflow_metadata = {
"workflow_id": trace_info.workflow_run_id or "",
"message_id": trace_info.message_id or "",
"workflow_app_log_id": trace_info.workflow_app_log_id or "",
"status": trace_info.workflow_run_status or "",
"status_message": trace_info.error or "",
"level": "ERROR" if trace_info.error else "DEFAULT",
"total_tokens": trace_info.total_tokens or 0,
}
workflow_metadata.update(trace_info.metadata)
trace_id = uuid_to_trace_id(trace_info.message_id)
span_id = RandomIdGenerator().generate_span_id()
context = SpanContext(
trace_id=trace_id,
span_id=span_id,
is_remote=False,
trace_flags=TraceFlags(TraceFlags.SAMPLED),
trace_state=TraceState(),
)
workflow_span = self.tracer.start_span(
name=TraceTaskName.WORKFLOW_TRACE.value,
attributes={
SpanAttributes.INPUT_VALUE: json.dumps(trace_info.workflow_run_inputs, ensure_ascii=False),
SpanAttributes.OUTPUT_VALUE: json.dumps(trace_info.workflow_run_outputs, ensure_ascii=False),
SpanAttributes.OPENINFERENCE_SPAN_KIND: OpenInferenceSpanKindValues.CHAIN.value,
SpanAttributes.METADATA: json.dumps(workflow_metadata, ensure_ascii=False),
SpanAttributes.SESSION_ID: trace_info.conversation_id or "",
},
start_time=datetime_to_nanos(trace_info.start_time),
context=trace.set_span_in_context(trace.NonRecordingSpan(context)),
)
try:
# Process workflow nodes
for node_execution in self._get_workflow_nodes(trace_info.workflow_run_id):
created_at = node_execution.created_at or datetime.now()
elapsed_time = node_execution.elapsed_time
finished_at = created_at + timedelta(seconds=elapsed_time)
process_data = json.loads(node_execution.process_data) if node_execution.process_data else {}
node_metadata = {
"node_id": node_execution.id,
"node_type": node_execution.node_type,
"node_status": node_execution.status,
"tenant_id": node_execution.tenant_id,
"app_id": node_execution.app_id,
"app_name": node_execution.title,
"status": node_execution.status,
"level": "ERROR" if node_execution.status != "succeeded" else "DEFAULT",
}
if node_execution.execution_metadata:
node_metadata.update(json.loads(node_execution.execution_metadata))
# Determine the correct span kind based on node type
span_kind = OpenInferenceSpanKindValues.CHAIN.value
if node_execution.node_type == "llm":
span_kind = OpenInferenceSpanKindValues.LLM.value
provider = process_data.get("model_provider")
model = process_data.get("model_name")
if provider:
node_metadata["ls_provider"] = provider
if model:
node_metadata["ls_model_name"] = model
usage = json.loads(node_execution.outputs).get("usage", {}) if node_execution.outputs else {}
if usage:
node_metadata["total_tokens"] = usage.get("total_tokens", 0)
node_metadata["prompt_tokens"] = usage.get("prompt_tokens", 0)
node_metadata["completion_tokens"] = usage.get("completion_tokens", 0)
elif node_execution.node_type == "dataset_retrieval":
span_kind = OpenInferenceSpanKindValues.RETRIEVER.value
elif node_execution.node_type == "tool":
span_kind = OpenInferenceSpanKindValues.TOOL.value
else:
span_kind = OpenInferenceSpanKindValues.CHAIN.value
node_span = self.tracer.start_span(
name=node_execution.node_type,
attributes={
SpanAttributes.INPUT_VALUE: node_execution.inputs or "{}",
SpanAttributes.OUTPUT_VALUE: node_execution.outputs or "{}",
SpanAttributes.OPENINFERENCE_SPAN_KIND: span_kind,
SpanAttributes.METADATA: json.dumps(node_metadata, ensure_ascii=False),
SpanAttributes.SESSION_ID: trace_info.conversation_id or "",
},
start_time=datetime_to_nanos(created_at),
)
try:
if node_execution.node_type == "llm":
provider = process_data.get("model_provider")
model = process_data.get("model_name")
if provider:
node_span.set_attribute(SpanAttributes.LLM_PROVIDER, provider)
if model:
node_span.set_attribute(SpanAttributes.LLM_MODEL_NAME, model)
usage = json.loads(node_execution.outputs).get("usage", {}) if node_execution.outputs else {}
if usage:
node_span.set_attribute(SpanAttributes.LLM_TOKEN_COUNT_TOTAL, usage.get("total_tokens", 0))
node_span.set_attribute(
SpanAttributes.LLM_TOKEN_COUNT_PROMPT, usage.get("prompt_tokens", 0)
)
node_span.set_attribute(
SpanAttributes.LLM_TOKEN_COUNT_COMPLETION, usage.get("completion_tokens", 0)
)
finally:
node_span.end(end_time=datetime_to_nanos(finished_at))
finally:
workflow_span.end(end_time=datetime_to_nanos(trace_info.end_time))
def message_trace(self, trace_info: MessageTraceInfo):
if trace_info.message_data is None:
return
file_list = cast(list[str], trace_info.file_list) or []
message_file_data: Optional[MessageFile] = trace_info.message_file_data
if message_file_data is not None:
file_url = f"{self.file_base_url}/{message_file_data.url}" if message_file_data else ""
file_list.append(file_url)
message_metadata = {
"message_id": trace_info.message_id or "",
"conversation_mode": str(trace_info.conversation_mode or ""),
"user_id": trace_info.message_data.from_account_id or "",
"file_list": json.dumps(file_list),
"status": trace_info.message_data.status or "",
"status_message": trace_info.error or "",
"level": "ERROR" if trace_info.error else "DEFAULT",
"total_tokens": trace_info.total_tokens or 0,
"prompt_tokens": trace_info.message_tokens or 0,
"completion_tokens": trace_info.answer_tokens or 0,
"ls_provider": trace_info.message_data.model_provider or "",
"ls_model_name": trace_info.message_data.model_id or "",
}
message_metadata.update(trace_info.metadata)
# Add end user data if available
if trace_info.message_data.from_end_user_id:
end_user_data: Optional[EndUser] = (
db.session.query(EndUser).filter(EndUser.id == trace_info.message_data.from_end_user_id).first()
)
if end_user_data is not None:
message_metadata["end_user_id"] = end_user_data.session_id
attributes = {
SpanAttributes.INPUT_VALUE: trace_info.message_data.query,
SpanAttributes.OUTPUT_VALUE: trace_info.message_data.answer,
SpanAttributes.OPENINFERENCE_SPAN_KIND: OpenInferenceSpanKindValues.CHAIN.value,
SpanAttributes.METADATA: json.dumps(message_metadata, ensure_ascii=False),
SpanAttributes.SESSION_ID: trace_info.message_data.conversation_id,
}
trace_id = uuid_to_trace_id(trace_info.message_id)
message_span_id = RandomIdGenerator().generate_span_id()
span_context = SpanContext(
trace_id=trace_id,
span_id=message_span_id,
is_remote=False,
trace_flags=TraceFlags(TraceFlags.SAMPLED),
trace_state=TraceState(),
)
message_span = self.tracer.start_span(
name=TraceTaskName.MESSAGE_TRACE.value,
attributes=attributes,
start_time=datetime_to_nanos(trace_info.start_time),
context=trace.set_span_in_context(trace.NonRecordingSpan(span_context)),
)
try:
if trace_info.error:
message_span.add_event(
"exception",
attributes={
"exception.message": trace_info.error,
"exception.type": "Error",
"exception.stacktrace": trace_info.error,
},
)
# Convert outputs to string based on type
if isinstance(trace_info.outputs, dict | list):
outputs_str = json.dumps(trace_info.outputs, ensure_ascii=False)
elif isinstance(trace_info.outputs, str):
outputs_str = trace_info.outputs
else:
outputs_str = str(trace_info.outputs)
llm_attributes = {
SpanAttributes.OPENINFERENCE_SPAN_KIND: OpenInferenceSpanKindValues.LLM.value,
SpanAttributes.INPUT_VALUE: json.dumps(trace_info.inputs, ensure_ascii=False),
SpanAttributes.OUTPUT_VALUE: outputs_str,
SpanAttributes.METADATA: json.dumps(message_metadata, ensure_ascii=False),
SpanAttributes.SESSION_ID: trace_info.message_data.conversation_id,
}
if isinstance(trace_info.inputs, list):
for i, msg in enumerate(trace_info.inputs):
if isinstance(msg, dict):
llm_attributes[f"{SpanAttributes.LLM_INPUT_MESSAGES}.{i}.message.content"] = msg.get("text", "")
llm_attributes[f"{SpanAttributes.LLM_INPUT_MESSAGES}.{i}.message.role"] = msg.get(
"role", "user"
)
# todo: handle assistant and tool role messages, as they don't always
# have a text field, but may have a tool_calls field instead
# e.g. 'tool_calls': [{'id': '98af3a29-b066-45a5-b4b1-46c74ddafc58',
# 'type': 'function', 'function': {'name': 'current_time', 'arguments': '{}'}}]}
elif isinstance(trace_info.inputs, dict):
llm_attributes[f"{SpanAttributes.LLM_INPUT_MESSAGES}.0.message.content"] = json.dumps(trace_info.inputs)
llm_attributes[f"{SpanAttributes.LLM_INPUT_MESSAGES}.0.message.role"] = "user"
elif isinstance(trace_info.inputs, str):
llm_attributes[f"{SpanAttributes.LLM_INPUT_MESSAGES}.0.message.content"] = trace_info.inputs
llm_attributes[f"{SpanAttributes.LLM_INPUT_MESSAGES}.0.message.role"] = "user"
if trace_info.total_tokens is not None and trace_info.total_tokens > 0:
llm_attributes[SpanAttributes.LLM_TOKEN_COUNT_TOTAL] = trace_info.total_tokens
if trace_info.message_tokens is not None and trace_info.message_tokens > 0:
llm_attributes[SpanAttributes.LLM_TOKEN_COUNT_PROMPT] = trace_info.message_tokens
if trace_info.answer_tokens is not None and trace_info.answer_tokens > 0:
llm_attributes[SpanAttributes.LLM_TOKEN_COUNT_COMPLETION] = trace_info.answer_tokens
if trace_info.message_data.model_id is not None:
llm_attributes[SpanAttributes.LLM_MODEL_NAME] = trace_info.message_data.model_id
if trace_info.message_data.model_provider is not None:
llm_attributes[SpanAttributes.LLM_PROVIDER] = trace_info.message_data.model_provider
if trace_info.message_data and trace_info.message_data.message_metadata:
metadata_dict = json.loads(trace_info.message_data.message_metadata)
if model_params := metadata_dict.get("model_parameters"):
llm_attributes[SpanAttributes.LLM_INVOCATION_PARAMETERS] = json.dumps(model_params)
llm_span = self.tracer.start_span(
name="llm",
attributes=llm_attributes,
start_time=datetime_to_nanos(trace_info.start_time),
context=trace.set_span_in_context(trace.NonRecordingSpan(span_context)),
)
try:
if trace_info.error:
llm_span.add_event(
"exception",
attributes={
"exception.message": trace_info.error,
"exception.type": "Error",
"exception.stacktrace": trace_info.error,
},
)
finally:
llm_span.end(end_time=datetime_to_nanos(trace_info.end_time))
finally:
message_span.end(end_time=datetime_to_nanos(trace_info.end_time))
def moderation_trace(self, trace_info: ModerationTraceInfo):
if trace_info.message_data is None:
return
metadata = {
"message_id": trace_info.message_id,
"tool_name": "moderation",
"status": trace_info.message_data.status,
"status_message": trace_info.message_data.error or "",
"level": "ERROR" if trace_info.message_data.error else "DEFAULT",
}
metadata.update(trace_info.metadata)
trace_id = uuid_to_trace_id(trace_info.message_id)
span_id = RandomIdGenerator().generate_span_id()
context = SpanContext(
trace_id=trace_id,
span_id=span_id,
is_remote=False,
trace_flags=TraceFlags(TraceFlags.SAMPLED),
trace_state=TraceState(),
)
span = self.tracer.start_span(
name=TraceTaskName.MODERATION_TRACE.value,
attributes={
SpanAttributes.INPUT_VALUE: json.dumps(trace_info.inputs, ensure_ascii=False),
SpanAttributes.OUTPUT_VALUE: json.dumps(
{
"action": trace_info.action,
"flagged": trace_info.flagged,
"preset_response": trace_info.preset_response,
"inputs": trace_info.inputs,
},
ensure_ascii=False,
),
SpanAttributes.OPENINFERENCE_SPAN_KIND: OpenInferenceSpanKindValues.CHAIN.value,
SpanAttributes.METADATA: json.dumps(metadata, ensure_ascii=False),
},
start_time=datetime_to_nanos(trace_info.start_time),
context=trace.set_span_in_context(trace.NonRecordingSpan(context)),
)
try:
if trace_info.message_data.error:
span.add_event(
"exception",
attributes={
"exception.message": trace_info.message_data.error,
"exception.type": "Error",
"exception.stacktrace": trace_info.message_data.error,
},
)
finally:
span.end(end_time=datetime_to_nanos(trace_info.end_time))
def suggested_question_trace(self, trace_info: SuggestedQuestionTraceInfo):
if trace_info.message_data is None:
return
start_time = trace_info.start_time or trace_info.message_data.created_at
end_time = trace_info.end_time or trace_info.message_data.updated_at
metadata = {
"message_id": trace_info.message_id,
"tool_name": "suggested_question",
"status": trace_info.status,
"status_message": trace_info.error or "",
"level": "ERROR" if trace_info.error else "DEFAULT",
"total_tokens": trace_info.total_tokens,
"ls_provider": trace_info.model_provider or "",
"ls_model_name": trace_info.model_id or "",
}
metadata.update(trace_info.metadata)
trace_id = uuid_to_trace_id(trace_info.message_id)
span_id = RandomIdGenerator().generate_span_id()
context = SpanContext(
trace_id=trace_id,
span_id=span_id,
is_remote=False,
trace_flags=TraceFlags(TraceFlags.SAMPLED),
trace_state=TraceState(),
)
span = self.tracer.start_span(
name=TraceTaskName.SUGGESTED_QUESTION_TRACE.value,
attributes={
SpanAttributes.INPUT_VALUE: json.dumps(trace_info.inputs, ensure_ascii=False),
SpanAttributes.OUTPUT_VALUE: json.dumps(trace_info.suggested_question, ensure_ascii=False),
SpanAttributes.OPENINFERENCE_SPAN_KIND: OpenInferenceSpanKindValues.CHAIN.value,
SpanAttributes.METADATA: json.dumps(metadata, ensure_ascii=False),
},
start_time=datetime_to_nanos(start_time),
context=trace.set_span_in_context(trace.NonRecordingSpan(context)),
)
try:
if trace_info.error:
span.add_event(
"exception",
attributes={
"exception.message": trace_info.error,
"exception.type": "Error",
"exception.stacktrace": trace_info.error,
},
)
finally:
span.end(end_time=datetime_to_nanos(end_time))
def dataset_retrieval_trace(self, trace_info: DatasetRetrievalTraceInfo):
if trace_info.message_data is None:
return
start_time = trace_info.start_time or trace_info.message_data.created_at
end_time = trace_info.end_time or trace_info.message_data.updated_at
metadata = {
"message_id": trace_info.message_id,
"tool_name": "dataset_retrieval",
"status": trace_info.message_data.status,
"status_message": trace_info.message_data.error or "",
"level": "ERROR" if trace_info.message_data.error else "DEFAULT",
"ls_provider": trace_info.message_data.model_provider or "",
"ls_model_name": trace_info.message_data.model_id or "",
}
metadata.update(trace_info.metadata)
trace_id = uuid_to_trace_id(trace_info.message_id)
span_id = RandomIdGenerator().generate_span_id()
context = SpanContext(
trace_id=trace_id,
span_id=span_id,
is_remote=False,
trace_flags=TraceFlags(TraceFlags.SAMPLED),
trace_state=TraceState(),
)
span = self.tracer.start_span(
name=TraceTaskName.DATASET_RETRIEVAL_TRACE.value,
attributes={
SpanAttributes.INPUT_VALUE: json.dumps(trace_info.inputs, ensure_ascii=False),
SpanAttributes.OUTPUT_VALUE: json.dumps({"documents": trace_info.documents}, ensure_ascii=False),
SpanAttributes.OPENINFERENCE_SPAN_KIND: OpenInferenceSpanKindValues.RETRIEVER.value,
SpanAttributes.METADATA: json.dumps(metadata, ensure_ascii=False),
"start_time": start_time.isoformat() if start_time else "",
"end_time": end_time.isoformat() if end_time else "",
},
start_time=datetime_to_nanos(start_time),
context=trace.set_span_in_context(trace.NonRecordingSpan(context)),
)
try:
if trace_info.message_data.error:
span.add_event(
"exception",
attributes={
"exception.message": trace_info.message_data.error,
"exception.type": "Error",
"exception.stacktrace": trace_info.message_data.error,
},
)
finally:
span.end(end_time=datetime_to_nanos(end_time))
def tool_trace(self, trace_info: ToolTraceInfo):
if trace_info.message_data is None:
logger.warning("[Arize/Phoenix] Message data is None, skipping tool trace.")
return
metadata = {
"message_id": trace_info.message_id,
"tool_config": json.dumps(trace_info.tool_config, ensure_ascii=False),
}
trace_id = uuid_to_trace_id(trace_info.message_id)
tool_span_id = RandomIdGenerator().generate_span_id()
logger.info(f"[Arize/Phoenix] Creating tool trace with trace_id: {trace_id}, span_id: {tool_span_id}")
# Create span context with the same trace_id as the parent
# todo: Create with the appropriate parent span context, so that the tool span is
# a child of the appropriate span (e.g. message span)
span_context = SpanContext(
trace_id=trace_id,
span_id=tool_span_id,
is_remote=False,
trace_flags=TraceFlags(TraceFlags.SAMPLED),
trace_state=TraceState(),
)
tool_params_str = (
json.dumps(trace_info.tool_parameters, ensure_ascii=False)
if isinstance(trace_info.tool_parameters, dict)
else str(trace_info.tool_parameters)
)
span = self.tracer.start_span(
name=trace_info.tool_name,
attributes={
SpanAttributes.INPUT_VALUE: json.dumps(trace_info.tool_inputs, ensure_ascii=False),
SpanAttributes.OUTPUT_VALUE: trace_info.tool_outputs,
SpanAttributes.OPENINFERENCE_SPAN_KIND: OpenInferenceSpanKindValues.TOOL.value,
SpanAttributes.METADATA: json.dumps(metadata, ensure_ascii=False),
SpanAttributes.TOOL_NAME: trace_info.tool_name,
SpanAttributes.TOOL_PARAMETERS: tool_params_str,
},
start_time=datetime_to_nanos(trace_info.start_time),
context=trace.set_span_in_context(trace.NonRecordingSpan(span_context)),
)
try:
if trace_info.error:
span.add_event(
"exception",
attributes={
"exception.message": trace_info.error,
"exception.type": "Error",
"exception.stacktrace": trace_info.error,
},
)
finally:
span.end(end_time=datetime_to_nanos(trace_info.end_time))
def generate_name_trace(self, trace_info: GenerateNameTraceInfo):
if trace_info.message_data is None:
return
metadata = {
"project_name": self.project,
"message_id": trace_info.message_id,
"status": trace_info.message_data.status,
"status_message": trace_info.message_data.error or "",
"level": "ERROR" if trace_info.message_data.error else "DEFAULT",
}
metadata.update(trace_info.metadata)
trace_id = uuid_to_trace_id(trace_info.message_id)
span_id = RandomIdGenerator().generate_span_id()
context = SpanContext(
trace_id=trace_id,
span_id=span_id,
is_remote=False,
trace_flags=TraceFlags(TraceFlags.SAMPLED),
trace_state=TraceState(),
)
span = self.tracer.start_span(
name=TraceTaskName.GENERATE_NAME_TRACE.value,
attributes={
SpanAttributes.INPUT_VALUE: json.dumps(trace_info.inputs, ensure_ascii=False),
SpanAttributes.OUTPUT_VALUE: json.dumps(trace_info.outputs, ensure_ascii=False),
SpanAttributes.OPENINFERENCE_SPAN_KIND: OpenInferenceSpanKindValues.CHAIN.value,
SpanAttributes.METADATA: json.dumps(metadata, ensure_ascii=False),
SpanAttributes.SESSION_ID: trace_info.message_data.conversation_id,
"start_time": trace_info.start_time.isoformat() if trace_info.start_time else "",
"end_time": trace_info.end_time.isoformat() if trace_info.end_time else "",
},
start_time=datetime_to_nanos(trace_info.start_time),
context=trace.set_span_in_context(trace.NonRecordingSpan(context)),
)
try:
if trace_info.message_data.error:
span.add_event(
"exception",
attributes={
"exception.message": trace_info.message_data.error,
"exception.type": "Error",
"exception.stacktrace": trace_info.message_data.error,
},
)
finally:
span.end(end_time=datetime_to_nanos(trace_info.end_time))
def api_check(self):
try:
with self.tracer.start_span("api_check") as span:
span.set_attribute("test", "true")
return True
except Exception as e:
logger.info(f"[Arize/Phoenix] API check failed: {str(e)}", exc_info=True)
raise ValueError(f"[Arize/Phoenix] API check failed: {str(e)}")
def get_project_url(self):
try:
if self.arize_phoenix_config.endpoint == "https://otlp.arize.com":
return "https://app.arize.com/"
else:
return f"{self.arize_phoenix_config.endpoint}/projects/"
except Exception as e:
logger.info(f"[Arize/Phoenix] Get run url failed: {str(e)}", exc_info=True)
raise ValueError(f"[Arize/Phoenix] Get run url failed: {str(e)}")
def _get_workflow_nodes(self, workflow_run_id: str):
"""Helper method to get workflow nodes"""
workflow_nodes = (
db.session.query(
WorkflowNodeExecutionModel.id,
WorkflowNodeExecutionModel.tenant_id,
WorkflowNodeExecutionModel.app_id,
WorkflowNodeExecutionModel.title,
WorkflowNodeExecutionModel.node_type,
WorkflowNodeExecutionModel.status,
WorkflowNodeExecutionModel.inputs,
WorkflowNodeExecutionModel.outputs,
WorkflowNodeExecutionModel.created_at,
WorkflowNodeExecutionModel.elapsed_time,
WorkflowNodeExecutionModel.process_data,
WorkflowNodeExecutionModel.execution_metadata,
)
.filter(WorkflowNodeExecutionModel.workflow_run_id == workflow_run_id)
.all()
)
return workflow_nodes

View File

@@ -4,6 +4,8 @@ from pydantic import BaseModel, ValidationInfo, field_validator
class TracingProviderEnum(StrEnum):
ARIZE = "arize"
PHOENIX = "phoenix"
LANGFUSE = "langfuse"
LANGSMITH = "langsmith"
OPIK = "opik"
@@ -18,6 +20,69 @@ class BaseTracingConfig(BaseModel):
...
class ArizeConfig(BaseTracingConfig):
"""
Model class for Arize tracing config.
"""
api_key: str | None = None
space_id: str | None = None
project: str | None = None
endpoint: str = "https://otlp.arize.com"
@field_validator("project")
@classmethod
def project_validator(cls, v, info: ValidationInfo):
if v is None or v == "":
v = "default"
return v
@field_validator("endpoint")
@classmethod
def endpoint_validator(cls, v, info: ValidationInfo):
if v is None or v == "":
v = "https://otlp.arize.com"
if not v.startswith(("https://", "http://")):
raise ValueError("endpoint must start with https:// or http://")
if "/" in v[8:]:
parts = v.split("/")
v = parts[0] + "//" + parts[2]
return v
class PhoenixConfig(BaseTracingConfig):
"""
Model class for Phoenix tracing config.
"""
api_key: str | None = None
project: str | None = None
endpoint: str = "https://app.phoenix.arize.com"
@field_validator("project")
@classmethod
def project_validator(cls, v, info: ValidationInfo):
if v is None or v == "":
v = "default"
return v
@field_validator("endpoint")
@classmethod
def endpoint_validator(cls, v, info: ValidationInfo):
if v is None or v == "":
v = "https://app.phoenix.arize.com"
if not v.startswith(("https://", "http://")):
raise ValueError("endpoint must start with https:// or http://")
if "/" in v[8:]:
parts = v.split("/")
v = parts[0] + "//" + parts[2]
return v
class LangfuseConfig(BaseTracingConfig):
"""
Model class for Langfuse tracing config.

View File

@@ -41,6 +41,28 @@ from tasks.ops_trace_task import process_trace_tasks
class OpsTraceProviderConfigMap(dict[str, dict[str, Any]]):
def __getitem__(self, provider: str) -> dict[str, Any]:
match provider:
case TracingProviderEnum.ARIZE:
from core.ops.arize_phoenix_trace.arize_phoenix_trace import ArizePhoenixDataTrace
from core.ops.entities.config_entity import ArizeConfig
return {
"config_class": ArizeConfig,
"secret_keys": ["api_key", "space_id"],
"other_keys": ["project", "endpoint"],
"trace_instance": ArizePhoenixDataTrace,
}
case TracingProviderEnum.PHOENIX:
from core.ops.arize_phoenix_trace.arize_phoenix_trace import ArizePhoenixDataTrace
from core.ops.entities.config_entity import PhoenixConfig
return {
"config_class": PhoenixConfig,
"secret_keys": ["api_key"],
"other_keys": ["project", "endpoint"],
"trace_instance": ArizePhoenixDataTrace,
}
case TracingProviderEnum.LANGFUSE:
from core.ops.entities.config_entity import LangfuseConfig
from core.ops.langfuse_trace.langfuse_trace import LangFuseDataTrace
@@ -84,7 +106,26 @@ class OpsTraceProviderConfigMap(dict[str, dict[str, Any]]):
"other_keys": ["project", "entity", "endpoint", "host"],
"trace_instance": WeaveDataTrace,
}
case TracingProviderEnum.ARIZE:
from core.ops.arize_phoenix_trace.arize_phoenix_trace import ArizePhoenixDataTrace
from core.ops.entities.config_entity import ArizeConfig
return {
"config_class": ArizeConfig,
"secret_keys": ["api_key", "space_id"],
"other_keys": ["project", "endpoint"],
"trace_instance": ArizePhoenixDataTrace,
}
case TracingProviderEnum.PHOENIX:
from core.ops.arize_phoenix_trace.arize_phoenix_trace import ArizePhoenixDataTrace
from core.ops.entities.config_entity import PhoenixConfig
return {
"config_class": PhoenixConfig,
"secret_keys": ["api_key"],
"other_keys": ["project", "endpoint"],
"trace_instance": ArizePhoenixDataTrace,
}
case _:
raise KeyError(f"Unsupported tracing provider: {provider}")

View File

@@ -4,6 +4,7 @@ version = "1.5.1"
requires-python = ">=3.11,<3.13"
dependencies = [
"arize-phoenix-otel~=0.9.2",
"authlib==1.3.1",
"azure-identity==1.16.1",
"beautifulsoup4==4.12.2",

View File

@@ -34,6 +34,24 @@ class OpsService:
)
new_decrypt_tracing_config = OpsTraceManager.obfuscated_decrypt_token(tracing_provider, decrypt_tracing_config)
if tracing_provider == "arize" and (
"project_url" not in decrypt_tracing_config or not decrypt_tracing_config.get("project_url")
):
try:
project_url = OpsTraceManager.get_trace_config_project_url(decrypt_tracing_config, tracing_provider)
new_decrypt_tracing_config.update({"project_url": project_url})
except Exception:
new_decrypt_tracing_config.update({"project_url": "https://app.arize.com/"})
if tracing_provider == "phoenix" and (
"project_url" not in decrypt_tracing_config or not decrypt_tracing_config.get("project_url")
):
try:
project_url = OpsTraceManager.get_trace_config_project_url(decrypt_tracing_config, tracing_provider)
new_decrypt_tracing_config.update({"project_url": project_url})
except Exception:
new_decrypt_tracing_config.update({"project_url": "https://app.phoenix.arize.com/projects/"})
if tracing_provider == "langfuse" and (
"project_key" not in decrypt_tracing_config or not decrypt_tracing_config.get("project_key")
):
@@ -107,7 +125,9 @@ class OpsService:
return {"error": "Invalid Credentials"}
# get project url
if tracing_provider == "langfuse":
if tracing_provider in ("arize", "phoenix"):
project_url = OpsTraceManager.get_trace_config_project_url(tracing_config, tracing_provider)
elif tracing_provider == "langfuse":
project_key = OpsTraceManager.get_trace_config_project_key(tracing_config, tracing_provider)
project_url = "{host}/project/{key}".format(host=tracing_config.get("host"), key=project_key)
elif tracing_provider in ("langsmith", "opik"):

650
api/uv.lock generated

File diff suppressed because it is too large Load Diff

View File

@@ -5,7 +5,7 @@ import { useTranslation } from 'react-i18next'
import { useBoolean } from 'ahooks'
import TracingIcon from './tracing-icon'
import ProviderPanel from './provider-panel'
import type { LangFuseConfig, LangSmithConfig, OpikConfig, WeaveConfig } from './type'
import type { ArizeConfig, LangFuseConfig, LangSmithConfig, OpikConfig, PhoenixConfig, WeaveConfig } from './type'
import { TracingProvider } from './type'
import ProviderConfigModal from './provider-config-modal'
import Indicator from '@/app/components/header/indicator'
@@ -23,11 +23,13 @@ export type PopupProps = {
onStatusChange: (enabled: boolean) => void
chosenProvider: TracingProvider | null
onChooseProvider: (provider: TracingProvider) => void
arizeConfig: ArizeConfig | null
phoenixConfig: PhoenixConfig | null
langSmithConfig: LangSmithConfig | null
langFuseConfig: LangFuseConfig | null
opikConfig: OpikConfig | null
weaveConfig: WeaveConfig | null
onConfigUpdated: (provider: TracingProvider, payload: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => void
onConfigUpdated: (provider: TracingProvider, payload: ArizeConfig | PhoenixConfig | LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => void
onConfigRemoved: (provider: TracingProvider) => void
}
@@ -38,6 +40,8 @@ const ConfigPopup: FC<PopupProps> = ({
onStatusChange,
chosenProvider,
onChooseProvider,
arizeConfig,
phoenixConfig,
langSmithConfig,
langFuseConfig,
opikConfig,
@@ -65,7 +69,7 @@ const ConfigPopup: FC<PopupProps> = ({
}
}, [onChooseProvider])
const handleConfigUpdated = useCallback((payload: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => {
const handleConfigUpdated = useCallback((payload: ArizeConfig | PhoenixConfig | LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => {
onConfigUpdated(currentProvider!, payload)
hideConfigModal()
}, [currentProvider, hideConfigModal, onConfigUpdated])
@@ -75,8 +79,8 @@ const ConfigPopup: FC<PopupProps> = ({
hideConfigModal()
}, [currentProvider, hideConfigModal, onConfigRemoved])
const providerAllConfigured = langSmithConfig && langFuseConfig && opikConfig && weaveConfig
const providerAllNotConfigured = !langSmithConfig && !langFuseConfig && !opikConfig && !weaveConfig
const providerAllConfigured = arizeConfig && phoenixConfig && langSmithConfig && langFuseConfig && opikConfig && weaveConfig
const providerAllNotConfigured = !arizeConfig && !phoenixConfig && !langSmithConfig && !langFuseConfig && !opikConfig && !weaveConfig
const switchContent = (
<Switch
@@ -86,6 +90,32 @@ const ConfigPopup: FC<PopupProps> = ({
disabled={providerAllNotConfigured}
/>
)
const arizePanel = (
<ProviderPanel
type={TracingProvider.arize}
readOnly={readOnly}
config={arizeConfig}
hasConfigured={!!arizeConfig}
onConfig={handleOnConfig(TracingProvider.arize)}
isChosen={chosenProvider === TracingProvider.arize}
onChoose={handleOnChoose(TracingProvider.arize)}
key="arize-provider-panel"
/>
)
const phoenixPanel = (
<ProviderPanel
type={TracingProvider.phoenix}
readOnly={readOnly}
config={phoenixConfig}
hasConfigured={!!phoenixConfig}
onConfig={handleOnConfig(TracingProvider.phoenix)}
isChosen={chosenProvider === TracingProvider.phoenix}
onChoose={handleOnChoose(TracingProvider.phoenix)}
key="phoenix-provider-panel"
/>
)
const langSmithPanel = (
<ProviderPanel
type={TracingProvider.langSmith}
@@ -152,12 +182,24 @@ const ConfigPopup: FC<PopupProps> = ({
if (weaveConfig)
configuredPanels.push(weavePanel)
if (arizeConfig)
configuredPanels.push(arizePanel)
if (phoenixConfig)
configuredPanels.push(phoenixPanel)
return configuredPanels
}
const moreProviderPanel = () => {
const notConfiguredPanels: JSX.Element[] = []
if (!arizeConfig)
notConfiguredPanels.push(arizePanel)
if (!phoenixConfig)
notConfiguredPanels.push(phoenixPanel)
if (!langFuseConfig)
notConfiguredPanels.push(langfusePanel)
@@ -174,6 +216,10 @@ const ConfigPopup: FC<PopupProps> = ({
}
const configuredProviderConfig = () => {
if (currentProvider === TracingProvider.arize)
return arizeConfig
if (currentProvider === TracingProvider.phoenix)
return phoenixConfig
if (currentProvider === TracingProvider.langSmith)
return langSmithConfig
if (currentProvider === TracingProvider.langfuse)
@@ -220,22 +266,24 @@ const ConfigPopup: FC<PopupProps> = ({
? (
<>
<div className='system-xs-medium-uppercase text-text-tertiary'>{t(`${I18N_PREFIX}.configProviderTitle.${providerAllConfigured ? 'configured' : 'notConfigured'}`)}</div>
<div className='mt-2 space-y-2'>
<div className='mt-2 max-h-96 space-y-2 overflow-y-auto'>
{langfusePanel}
{langSmithPanel}
{opikPanel}
{weavePanel}
{arizePanel}
{phoenixPanel}
</div>
</>
)
: (
<>
<div className='system-xs-medium-uppercase text-text-tertiary'>{t(`${I18N_PREFIX}.configProviderTitle.configured`)}</div>
<div className='mt-2 space-y-2'>
<div className='mt-2 max-h-40 space-y-2 overflow-y-auto'>
{configuredProviderPanel()}
</div>
<div className='system-xs-medium-uppercase mt-3 text-text-tertiary'>{t(`${I18N_PREFIX}.configProviderTitle.moreProvider`)}</div>
<div className='mt-2 space-y-2'>
<div className='mt-2 max-h-40 space-y-2 overflow-y-auto'>
{moreProviderPanel()}
</div>
</>

View File

@@ -1,6 +1,8 @@
import { TracingProvider } from './type'
export const docURL = {
[TracingProvider.arize]: 'https://docs.arize.com/arize',
[TracingProvider.phoenix]: 'https://docs.arize.com/phoenix',
[TracingProvider.langSmith]: 'https://docs.smith.langchain.com/',
[TracingProvider.langfuse]: 'https://docs.langfuse.com',
[TracingProvider.opik]: 'https://www.comet.com/docs/opik/tracing/integrations/dify#setup-instructions',

View File

@@ -7,12 +7,12 @@ import {
import { useTranslation } from 'react-i18next'
import { usePathname } from 'next/navigation'
import { useBoolean } from 'ahooks'
import type { LangFuseConfig, LangSmithConfig, OpikConfig, WeaveConfig } from './type'
import type { ArizeConfig, LangFuseConfig, LangSmithConfig, OpikConfig, PhoenixConfig, WeaveConfig } from './type'
import { TracingProvider } from './type'
import TracingIcon from './tracing-icon'
import ConfigButton from './config-button'
import cn from '@/utils/classnames'
import { LangfuseIcon, LangsmithIcon, OpikIcon, WeaveIcon } from '@/app/components/base/icons/src/public/tracing'
import { ArizeIcon, LangfuseIcon, LangsmithIcon, OpikIcon, PhoenixIcon, WeaveIcon } from '@/app/components/base/icons/src/public/tracing'
import Indicator from '@/app/components/header/indicator'
import { fetchTracingConfig as doFetchTracingConfig, fetchTracingStatus, updateTracingStatus } from '@/service/apps'
import type { TracingStatus } from '@/models/app'
@@ -62,24 +62,31 @@ const Panel: FC = () => {
}
const inUseTracingProvider: TracingProvider | null = tracingStatus?.tracing_provider || null
const InUseProviderIcon
= inUseTracingProvider === TracingProvider.langSmith
? LangsmithIcon
: inUseTracingProvider === TracingProvider.langfuse
? LangfuseIcon
: inUseTracingProvider === TracingProvider.opik
? OpikIcon
: inUseTracingProvider === TracingProvider.weave
? WeaveIcon
: LangsmithIcon
const providerIconMap: Record<TracingProvider, React.FC<{ className?: string }>> = {
[TracingProvider.arize]: ArizeIcon,
[TracingProvider.phoenix]: PhoenixIcon,
[TracingProvider.langSmith]: LangsmithIcon,
[TracingProvider.langfuse]: LangfuseIcon,
[TracingProvider.opik]: OpikIcon,
[TracingProvider.weave]: WeaveIcon,
}
const InUseProviderIcon = inUseTracingProvider ? providerIconMap[inUseTracingProvider] : undefined
const [arizeConfig, setArizeConfig] = useState<ArizeConfig | null>(null)
const [phoenixConfig, setPhoenixConfig] = useState<PhoenixConfig | null>(null)
const [langSmithConfig, setLangSmithConfig] = useState<LangSmithConfig | null>(null)
const [langFuseConfig, setLangFuseConfig] = useState<LangFuseConfig | null>(null)
const [opikConfig, setOpikConfig] = useState<OpikConfig | null>(null)
const [weaveConfig, setWeaveConfig] = useState<WeaveConfig | null>(null)
const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig || opikConfig || weaveConfig)
const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig || opikConfig || weaveConfig || arizeConfig || phoenixConfig)
const fetchTracingConfig = async () => {
const { tracing_config: arizeConfig, has_not_configured: arizeHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.arize })
if (!arizeHasNotConfig)
setArizeConfig(arizeConfig as ArizeConfig)
const { tracing_config: phoenixConfig, has_not_configured: phoenixHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.phoenix })
if (!phoenixHasNotConfig)
setPhoenixConfig(phoenixConfig as PhoenixConfig)
const { tracing_config: langSmithConfig, has_not_configured: langSmithHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.langSmith })
if (!langSmithHasNotConfig)
setLangSmithConfig(langSmithConfig as LangSmithConfig)
@@ -97,7 +104,11 @@ const Panel: FC = () => {
const handleTracingConfigUpdated = async (provider: TracingProvider) => {
// call api to hide secret key value
const { tracing_config } = await doFetchTracingConfig({ appId, provider })
if (provider === TracingProvider.langSmith)
if (provider === TracingProvider.arize)
setArizeConfig(tracing_config as ArizeConfig)
else if (provider === TracingProvider.phoenix)
setPhoenixConfig(tracing_config as PhoenixConfig)
else if (provider === TracingProvider.langSmith)
setLangSmithConfig(tracing_config as LangSmithConfig)
else if (provider === TracingProvider.langfuse)
setLangFuseConfig(tracing_config as LangFuseConfig)
@@ -108,7 +119,11 @@ const Panel: FC = () => {
}
const handleTracingConfigRemoved = (provider: TracingProvider) => {
if (provider === TracingProvider.langSmith)
if (provider === TracingProvider.arize)
setArizeConfig(null)
else if (provider === TracingProvider.phoenix)
setPhoenixConfig(null)
else if (provider === TracingProvider.langSmith)
setLangSmithConfig(null)
else if (provider === TracingProvider.langfuse)
setLangFuseConfig(null)
@@ -170,6 +185,8 @@ const Panel: FC = () => {
onStatusChange={handleTracingEnabledChange}
chosenProvider={inUseTracingProvider}
onChooseProvider={handleChooseProvider}
arizeConfig={arizeConfig}
phoenixConfig={phoenixConfig}
langSmithConfig={langSmithConfig}
langFuseConfig={langFuseConfig}
opikConfig={opikConfig}
@@ -205,6 +222,8 @@ const Panel: FC = () => {
onStatusChange={handleTracingEnabledChange}
chosenProvider={inUseTracingProvider}
onChooseProvider={handleChooseProvider}
arizeConfig={arizeConfig}
phoenixConfig={phoenixConfig}
langSmithConfig={langSmithConfig}
langFuseConfig={langFuseConfig}
opikConfig={opikConfig}

View File

@@ -4,7 +4,7 @@ import React, { useCallback, useState } from 'react'
import { useTranslation } from 'react-i18next'
import { useBoolean } from 'ahooks'
import Field from './field'
import type { LangFuseConfig, LangSmithConfig, OpikConfig, WeaveConfig } from './type'
import type { ArizeConfig, LangFuseConfig, LangSmithConfig, OpikConfig, PhoenixConfig, WeaveConfig } from './type'
import { TracingProvider } from './type'
import { docURL } from './config'
import {
@@ -22,15 +22,28 @@ import Divider from '@/app/components/base/divider'
type Props = {
appId: string
type: TracingProvider
payload?: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig | null
payload?: ArizeConfig | PhoenixConfig | LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig | null
onRemoved: () => void
onCancel: () => void
onSaved: (payload: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => void
onSaved: (payload: ArizeConfig | PhoenixConfig | LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => void
onChosen: (provider: TracingProvider) => void
}
const I18N_PREFIX = 'app.tracing.configProvider'
const arizeConfigTemplate = {
api_key: '',
space_id: '',
project: '',
endpoint: '',
}
const phoenixConfigTemplate = {
api_key: '',
project: '',
endpoint: '',
}
const langSmithConfigTemplate = {
api_key: '',
project: '',
@@ -71,11 +84,17 @@ const ProviderConfigModal: FC<Props> = ({
const isEdit = !!payload
const isAdd = !isEdit
const [isSaving, setIsSaving] = useState(false)
const [config, setConfig] = useState<LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig>((() => {
const [config, setConfig] = useState<ArizeConfig | PhoenixConfig | LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig>((() => {
if (isEdit)
return payload
if (type === TracingProvider.langSmith)
if (type === TracingProvider.arize)
return arizeConfigTemplate
else if (type === TracingProvider.phoenix)
return phoenixConfigTemplate
else if (type === TracingProvider.langSmith)
return langSmithConfigTemplate
else if (type === TracingProvider.langfuse)
@@ -115,6 +134,24 @@ const ProviderConfigModal: FC<Props> = ({
const checkValid = useCallback(() => {
let errorMessage = ''
if (type === TracingProvider.arize) {
const postData = config as ArizeConfig
if (!postData.api_key)
errorMessage = t('common.errorMsg.fieldRequired', { field: 'API Key' })
if (!postData.space_id)
errorMessage = t('common.errorMsg.fieldRequired', { field: 'Space ID' })
if (!errorMessage && !postData.project)
errorMessage = t('common.errorMsg.fieldRequired', { field: t(`${I18N_PREFIX}.project`) })
}
if (type === TracingProvider.phoenix) {
const postData = config as PhoenixConfig
if (!postData.api_key)
errorMessage = t('common.errorMsg.fieldRequired', { field: 'API Key' })
if (!errorMessage && !postData.project)
errorMessage = t('common.errorMsg.fieldRequired', { field: t(`${I18N_PREFIX}.project`) })
}
if (type === TracingProvider.langSmith) {
const postData = config as LangSmithConfig
if (!postData.api_key)
@@ -195,6 +232,68 @@ const ProviderConfigModal: FC<Props> = ({
</div>
<div className='space-y-4'>
{type === TracingProvider.arize && (
<>
<Field
label='API Key'
labelClassName='!text-sm'
isRequired
value={(config as ArizeConfig).api_key}
onChange={handleConfigChange('api_key')}
placeholder={t(`${I18N_PREFIX}.placeholder`, { key: 'API Key' })!}
/>
<Field
label='Space ID'
labelClassName='!text-sm'
isRequired
value={(config as ArizeConfig).space_id}
onChange={handleConfigChange('space_id')}
placeholder={t(`${I18N_PREFIX}.placeholder`, { key: 'Space ID' })!}
/>
<Field
label={t(`${I18N_PREFIX}.project`)!}
labelClassName='!text-sm'
isRequired
value={(config as ArizeConfig).project}
onChange={handleConfigChange('project')}
placeholder={t(`${I18N_PREFIX}.placeholder`, { key: t(`${I18N_PREFIX}.project`) })!}
/>
<Field
label='Endpoint'
labelClassName='!text-sm'
value={(config as ArizeConfig).endpoint}
onChange={handleConfigChange('endpoint')}
placeholder={'https://otlp.arize.com'}
/>
</>
)}
{type === TracingProvider.phoenix && (
<>
<Field
label='API Key'
labelClassName='!text-sm'
isRequired
value={(config as PhoenixConfig).api_key}
onChange={handleConfigChange('api_key')}
placeholder={t(`${I18N_PREFIX}.placeholder`, { key: 'API Key' })!}
/>
<Field
label={t(`${I18N_PREFIX}.project`)!}
labelClassName='!text-sm'
isRequired
value={(config as PhoenixConfig).project}
onChange={handleConfigChange('project')}
placeholder={t(`${I18N_PREFIX}.placeholder`, { key: t(`${I18N_PREFIX}.project`) })!}
/>
<Field
label='Endpoint'
labelClassName='!text-sm'
value={(config as PhoenixConfig).endpoint}
onChange={handleConfigChange('endpoint')}
placeholder={'https://app.phoenix.arize.com'}
/>
</>
)}
{type === TracingProvider.weave && (
<>
<Field

View File

@@ -7,7 +7,7 @@ import {
import { useTranslation } from 'react-i18next'
import { TracingProvider } from './type'
import cn from '@/utils/classnames'
import { LangfuseIconBig, LangsmithIconBig, OpikIconBig, WeaveIconBig } from '@/app/components/base/icons/src/public/tracing'
import { ArizeIconBig, LangfuseIconBig, LangsmithIconBig, OpikIconBig, PhoenixIconBig, WeaveIconBig } from '@/app/components/base/icons/src/public/tracing'
import { Eye as View } from '@/app/components/base/icons/src/vender/solid/general'
const I18N_PREFIX = 'app.tracing'
@@ -24,6 +24,8 @@ type Props = {
const getIcon = (type: TracingProvider) => {
return ({
[TracingProvider.arize]: ArizeIconBig,
[TracingProvider.phoenix]: PhoenixIconBig,
[TracingProvider.langSmith]: LangsmithIconBig,
[TracingProvider.langfuse]: LangfuseIconBig,
[TracingProvider.opik]: OpikIconBig,

View File

@@ -1,10 +1,25 @@
export enum TracingProvider {
arize = 'arize',
phoenix = 'phoenix',
langSmith = 'langsmith',
langfuse = 'langfuse',
opik = 'opik',
weave = 'weave',
}
export type ArizeConfig = {
api_key: string
space_id: string
project: string
endpoint: string
}
export type PhoenixConfig = {
api_key: string
project: string
endpoint: string
}
export type LangSmithConfig = {
api_key: string
project: string

View File

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"height": "16"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {
"id": "Layer_1-2",
"data-name": "Layer 1"
},
"children": [
{
"type": "element",
"name": "rect",
"attributes": {
"style": "fill: none;",
"y": "0",
"width": "74",
"height": "16"
},
"children": []
},
{
"type": "element",
"name": "g",
"attributes": {
"id": "Arize_-_standard",
"data-name": "Arize - standard"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {},
"children": [
{
"type": "element",
"name": "path",
"attributes": {
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"children": []
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{
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},
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{
"type": "element",
"name": "path",
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},
"children": []
},
{
"type": "element",
"name": "path",
"attributes": {
"d": "M44.74,4.06h1.99v9.56h-1.99V4.06Z"
},
"children": []
},
{
"type": "element",
"name": "path",
"attributes": {
"style": "fill: #ff008c;",
"d": "M13.82,13.02c.84,0,1.49.64,1.5,1.46,0,.83-.68,1.53-1.5,1.52-.82,0-1.47-.67-1.48-1.5,0-.83.64-1.48,1.47-1.48Z"
},
"children": []
},
{
"type": "element",
"name": "path",
"attributes": {
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},
"children": []
}
]
}
]
}
]
}
]
},
"name": "ArizeIcon"
}

View File

@@ -0,0 +1,20 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './ArizeIcon.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconData } from '@/app/components/base/icons/IconBase'
const Icon = (
{
ref,
...props
}: React.SVGProps<SVGSVGElement> & {
ref?: React.RefObject<React.MutableRefObject<HTMLOrSVGElement>>;
},
) => <IconBase {...props} ref={ref} data={data as IconData} />
Icon.displayName = 'ArizeIcon'
export default Icon

View File

@@ -0,0 +1,122 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"id": "Layer_2",
"data-name": "Layer 2",
"xmlns": "http://www.w3.org/2000/svg",
"viewBox": "0 0 111 24",
"width": "111",
"height": "24"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {
"id": "Layer_1-2",
"data-name": "Layer 1"
},
"children": [
{
"type": "element",
"name": "rect",
"attributes": {
"style": "fill: none;",
"y": "0",
"width": "111",
"height": "24"
},
"children": []
},
{
"type": "element",
"name": "g",
"attributes": {
"id": "Arize_-_standard",
"data-name": "Arize - standard"
},
"children": [
{
"type": "element",
"name": "g",
"attributes": {},
"children": [
{
"type": "element",
"name": "path",
"attributes": {
"d": "M100.94,14.55h-11.29c0,.13-.01.23.02.31.53,1.55,1.54,2.59,3.19,2.88,1.7.29,3.22,0,4.3-1.52.09-.13.28-.27.43-.28.99-.02,1.99-.01,2.99-.01-.16,2.69-3.89,4.98-7.6,4.7-3.99-.3-6.91-3.79-6.58-7.88.37-4.62,3.67-7.31,8.37-6.85,4.05.4,6.68,4.04,6.19,8.64ZM89.71,11.66h7.96c-.43-1.88-2.04-3.02-4.17-2.97-1.87.04-3.48,1.3-3.78,2.97Z"
},
"children": []
},
{
"type": "element",
"name": "path",
"attributes": {
"style": "fill: #ff008c;",
"d": "M20.81,2.53c.59-.03,1.11.26,1.49.8,3.05,4.38,6.09,8.77,9.13,13.16.63.91.43,1.99-.43,2.59-.84.59-1.97.35-2.62-.57-2.1-3.01-4.19-6.04-6.28-9.05-.04-.06-.08-.11-.12-.17-.83-1.17-1.65-1.18-2.47,0-2.11,3.05-4.23,6.09-6.34,9.14-.35.5-.77.88-1.4.95-.77.08-1.39-.19-1.79-.86-.41-.69-.38-1.38.07-2.03,1.01-1.47,2.04-2.93,3.06-4.4,2.01-2.89,4.03-5.77,6.03-8.67.39-.56.88-.9,1.67-.89Z"
},
"children": []
},
{
"type": "element",
"name": "path",
"attributes": {
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},
"children": []
},
{
"type": "element",
"name": "path",
"attributes": {
"d": "M80.41,8.9h-7.44v-2.77h11.64c0,.81.02,1.61-.01,2.41,0,.17-.19.35-.32.51-2.28,2.68-4.57,5.36-6.85,8.04-.11.13-.21.26-.38.47h7.53v2.86h-11.74c0-.82-.02-1.62.01-2.42,0-.16.17-.33.28-.47,2.32-2.74,4.64-5.47,6.96-8.21.09-.1.16-.21.32-.42Z"
},
"children": []
},
{
"type": "element",
"name": "path",
"attributes": {
"d": "M59.39,20.54h-3.03V6.22h3.03v1.54c.8-.48,1.55-1.01,2.37-1.41.85-.41,1.79-.41,2.77-.35v2.94c-.16.01-.3.03-.45.03-2.37.03-4.01,1.36-4.51,3.69-.12.57-.16,1.16-.16,1.74-.02,1.85,0,3.71,0,5.56v.57Z"
},
"children": []
},
{
"type": "element",
"name": "path",
"attributes": {
"d": "M67.1,6.09h2.99v14.33h-2.99V6.09Z"
},
"children": []
},
{
"type": "element",
"name": "path",
"attributes": {
"style": "fill: #ff008c;",
"d": "M20.73,19.53c1.25,0,2.24.96,2.25,2.19.01,1.24-1.02,2.29-2.24,2.28-1.23-.01-2.21-1.01-2.22-2.24,0-1.25.96-2.22,2.21-2.22Z"
},
"children": []
},
{
"type": "element",
"name": "path",
"attributes": {
"d": "M70.7,2.11c0,1.19-.92,2.14-2.09,2.15-1.19.01-2.16-.95-2.16-2.14C66.46.95,67.4,0,68.58,0c1.18,0,2.12.93,2.12,2.11Z"
},
"children": []
}
]
}
]
}
]
}
]
},
"name": "ArizeIconBig"
}

View File

@@ -0,0 +1,20 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './ArizeIconBig.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconData } from '@/app/components/base/icons/IconBase'
const Icon = (
{
ref,
...props
}: React.SVGProps<SVGSVGElement> & {
ref?: React.RefObject<React.MutableRefObject<HTMLOrSVGElement>>;
},
) => <IconBase {...props} ref={ref} data={data as IconData} />
Icon.displayName = 'ArizeIconBig'
export default Icon

View File

@@ -0,0 +1,853 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"id": "Layer_2",
"data-name": "Layer 2",
"xmlns": "http://www.w3.org/2000/svg",
"xmlns:xlink": "http://www.w3.org/1999/xlink",
"viewBox": "0 0 74 16",
"width": "74",
"height": "16"
},
"children": [
{
"type": "element",
"name": "defs",
"attributes": {},
"children": [
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient",
"x1": "6.05",
"y1": ".98",
"x2": "13.18",
"y2": "13.34",
"gradientUnits": "userSpaceOnUse"
},
"children": [
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "0",
"stop-color": "#11bab5"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".5",
"stop-color": "#00adee"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "1",
"stop-color": "#0094c5"
},
"children": []
}
]
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient-2",
"x1": "12.99",
"y1": "10.87",
"x2": "6.97",
"y2": ".45",
"gradientUnits": "userSpaceOnUse"
},
"children": [
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "0",
"stop-color": "#fcfdff",
"stop-opacity": "0"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".12",
"stop-color": "#fcfdff",
"stop-opacity": ".17"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".3",
"stop-color": "#fcfdff",
"stop-opacity": ".42"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".47",
"stop-color": "#fcfdff",
"stop-opacity": ".63"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".64",
"stop-color": "#fcfdff",
"stop-opacity": ".79"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".78",
"stop-color": "#fcfdff",
"stop-opacity": ".9"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".91",
"stop-color": "#fcfdff",
"stop-opacity": ".97"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "1",
"stop-color": "#fcfdff"
},
"children": []
}
]
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient-3",
"x1": "11.21",
"y1": "10.8",
"x2": "6.88",
"y2": "3.29",
"xlink:href": "#linear-gradient-2"
},
"children": []
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient-4",
"x1": "10.62",
"y1": "11.35",
"x2": "8.2",
"y2": "7.16",
"xlink:href": "#linear-gradient-2"
},
"children": []
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient-5",
"x1": "10.72",
"y1": "12.2",
"x2": "9.21",
"y2": "9.59",
"xlink:href": "#linear-gradient-2"
},
"children": []
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient-6",
"x1": "8.17",
"y1": "11.96",
"x2": "8.17",
"y2": "14.71",
"gradientUnits": "userSpaceOnUse"
},
"children": [
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "0",
"stop-color": "#231f20"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".03",
"stop-color": "#231f20",
"stop-opacity": ".9"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".22",
"stop-color": "#231f20",
"stop-opacity": ".4"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".42",
"stop-color": "#231f20",
"stop-opacity": ".1"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".65",
"stop-color": "#231f20",
"stop-opacity": "0"
},
"children": []
}
]
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "Fade_to_Black_2",
"data-name": "Fade to Black 2",
"x1": "11.26",
"y1": "11.7",
"x2": "11.26",
"y2": "13.1",
"gradientUnits": "userSpaceOnUse"
},
"children": [
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "0",
"stop-color": "#231f20"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "1",
"stop-color": "#231f20",
"stop-opacity": "0"
},
"children": []
}
]
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient-7",
"x1": "11.94",
"y1": "8.07",
"x2": "11.94",
"y2": "6.92",
"gradientUnits": "userSpaceOnUse"
},
"children": [
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "0",
"stop-color": "#231f20"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".03",
"stop-color": "#231f20",
"stop-opacity": ".95"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".51",
"stop-color": "#231f20",
"stop-opacity": ".26"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".81",
"stop-color": "#231f20",
"stop-opacity": "0"
},
"children": []
}
]
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient-8",
"x1": "14.45",
"y1": "8.92",
"x2": "14.45",
"y2": "6.14",
"gradientUnits": "userSpaceOnUse"
},
"children": [
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "0",
"stop-color": "#231f20"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".18",
"stop-color": "#231f20",
"stop-opacity": ".48"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".38",
"stop-color": "#231f20",
"stop-opacity": ".12"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".58",
"stop-color": "#231f20",
"stop-opacity": "0"
},
"children": []
}
]
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "Fade_to_Black_2-2",
"data-name": "Fade to Black 2",
"x1": "17.03",
"y1": "11.1",
"x2": "16.07",
"y2": "9.44",
"xlink:href": "#Fade_to_Black_2"
},
"children": []
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient-9",
"x1": "17.8",
"y1": "10.64",
"x2": "16.36",
"y2": "8.16",
"xlink:href": "#linear-gradient-2"
},
"children": []
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient-10",
"x1": "14.07",
"y1": "10.22",
"x2": "16.16",
"y2": "9.02",
"gradientUnits": "userSpaceOnUse"
},
"children": [
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "0",
"stop-color": "#231f20"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".31",
"stop-color": "#231f20",
"stop-opacity": ".5"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
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"stop-color": "#231f20",
"stop-opacity": ".13"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "1",
"stop-color": "#231f20",
"stop-opacity": "0"
},
"children": []
}
]
}
]
},
{
"type": "element",
"name": "g",
"attributes": {
"id": "Layer_1-2",
"data-name": "Layer 1"
},
"children": [
{
"type": "element",
"name": "rect",
"attributes": {
"style": "fill: none;",
"y": ".02",
"width": "74",
"height": "16"
},
"children": []
},
{
"type": "element",
"name": "g",
"attributes": {
"id": "Phoenix_horiz_-_gradient",
"data-name": "Phoenix horiz - gradient"
},
"children": [
{
"type": "element",
"name": "path",
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},
"name": "PhoenixIcon"
}

View File

@@ -0,0 +1,20 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './PhoenixIcon.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconData } from '@/app/components/base/icons/IconBase'
const Icon = (
{
ref,
...props
}: React.SVGProps<SVGSVGElement> & {
ref?: React.RefObject<React.MutableRefObject<HTMLOrSVGElement>>;
},
) => <IconBase {...props} ref={ref} data={data as IconData} />
Icon.displayName = 'PhoenixIcon'
export default Icon

View File

@@ -0,0 +1,853 @@
{
"icon": {
"type": "element",
"isRootNode": true,
"name": "svg",
"attributes": {
"id": "Layer_2",
"data-name": "Layer 2",
"xmlns": "http://www.w3.org/2000/svg",
"xmlns:xlink": "http://www.w3.org/1999/xlink",
"viewBox": "0 0 111 24",
"width": "111",
"height": "24"
},
"children": [
{
"type": "element",
"name": "defs",
"attributes": {},
"children": [
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient",
"x1": "9.07",
"y1": "1.47",
"x2": "19.77",
"y2": "20",
"gradientUnits": "userSpaceOnUse"
},
"children": [
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "0",
"stop-color": "#11bab5"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": ".5",
"stop-color": "#00adee"
},
"children": []
},
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "1",
"stop-color": "#0094c5"
},
"children": []
}
]
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
"id": "linear-gradient-2",
"x1": "19.48",
"y1": "16.3",
"x2": "10.46",
"y2": ".67",
"gradientUnits": "userSpaceOnUse"
},
"children": [
{
"type": "element",
"name": "stop",
"attributes": {
"offset": "0",
"stop-color": "#fcfdff",
"stop-opacity": "0"
},
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{
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"attributes": {
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"stop-opacity": ".17"
},
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{
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{
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"attributes": {
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},
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}
]
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{
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"xlink:href": "#linear-gradient-2"
},
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},
{
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"name": "linearGradient",
"attributes": {
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"xlink:href": "#linear-gradient-2"
},
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},
{
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"xlink:href": "#linear-gradient-2"
},
"children": []
},
{
"type": "element",
"name": "linearGradient",
"attributes": {
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"x1": "12.26",
"y1": "17.94",
"x2": "12.26",
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"gradientUnits": "userSpaceOnUse"
},
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{
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"name": "stop",
"attributes": {
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},
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]
},
{
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]
},
{
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"data-name": "Fade to Black 2",
"x1": "25.54",
"y1": "16.65",
"x2": "24.1",
"y2": "14.16",
"xlink:href": "#Fade_to_Black_2"
},
"children": []
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{
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"name": "PhoenixIconBig"
}

View File

@@ -0,0 +1,20 @@
// GENERATE BY script
// DON NOT EDIT IT MANUALLY
import * as React from 'react'
import data from './PhoenixIconBig.json'
import IconBase from '@/app/components/base/icons/IconBase'
import type { IconData } from '@/app/components/base/icons/IconBase'
const Icon = (
{
ref,
...props
}: React.SVGProps<SVGSVGElement> & {
ref?: React.RefObject<React.MutableRefObject<HTMLOrSVGElement>>;
},
) => <IconBase {...props} ref={ref} data={data as IconData} />
Icon.displayName = 'PhoenixIconBig'
export default Icon

View File

@@ -1,9 +1,13 @@
export { default as ArizeIconBig } from './ArizeIconBig'
export { default as ArizeIcon } from './ArizeIcon'
export { default as LangfuseIconBig } from './LangfuseIconBig'
export { default as LangfuseIcon } from './LangfuseIcon'
export { default as LangsmithIconBig } from './LangsmithIconBig'
export { default as LangsmithIcon } from './LangsmithIcon'
export { default as OpikIconBig } from './OpikIconBig'
export { default as OpikIcon } from './OpikIcon'
export { default as PhoenixIconBig } from './PhoenixIconBig'
export { default as PhoenixIcon } from './PhoenixIcon'
export { default as TracingIcon } from './TracingIcon'
export { default as WeaveIconBig } from './WeaveIconBig'
export { default as WeaveIcon } from './WeaveIcon'

View File

@@ -138,6 +138,14 @@ const translation = {
notConfigured: 'Anbieter konfigurieren, um Nachverfolgung zu aktivieren',
moreProvider: 'Weitere Anbieter',
},
arize: {
title: 'Arize',
description: 'Unternehmensgerechte LLM-Observierbarkeit, Online- und Offline-Bewertung, Überwachung und Experimentierung—unterstützt durch OpenTelemetry. Speziell für LLM- und agentenbasierte Anwendungen entwickelt.',
},
phoenix: {
title: 'Phoenix',
description: 'Open-Source- und OpenTelemetry-basierte Plattform für Observierbarkeit, Bewertung, Prompt-Engineering und Experimentierung für Ihre LLM-Workflows und -Agenten.',
},
langsmith: {
title: 'LangSmith',
description: 'Eine All-in-One-Entwicklerplattform für jeden Schritt des LLM-gesteuerten Anwendungslebenszyklus.',

View File

@@ -150,6 +150,14 @@ const translation = {
notConfigured: 'Config provider to enable tracing',
moreProvider: 'More Provider',
},
arize: {
title: 'Arize',
description: 'Enterprise-grade LLM observability, online & offline evaluation, monitoring, and experimentation—powered by OpenTelemetry. Purpose-built for LLM & agent-driven applications.',
},
phoenix: {
title: 'Phoenix',
description: 'Open-source & OpenTelemetry-based observability, evaluation, prompt engineering and experimentation platform for your LLM workflows and agents.',
},
langsmith: {
title: 'LangSmith',
description: 'An all-in-one developer platform for every step of the LLM-powered application lifecycle.',

View File

@@ -136,6 +136,14 @@ const translation = {
notConfigured: 'Configurar proveedor para habilitar el rastreo',
moreProvider: 'Más proveedores',
},
arize: {
title: 'Arize',
description: 'Observabilidad de LLM de nivel empresarial, evaluación en línea y fuera de línea, monitoreo y experimentación—impulsada por OpenTelemetry. Diseñada específicamente para aplicaciones impulsadas por LLM y agentes.',
},
phoenix: {
title: 'Phoenix',
description: 'Plataforma de observabilidad, evaluación, ingeniería de prompts y experimentación de código abierto basada en OpenTelemetry para sus flujos de trabajo y agentes de LLM.',
},
langsmith: {
title: 'LangSmith',
description: 'Una plataforma de desarrollo todo en uno para cada paso del ciclo de vida de la aplicación impulsada por LLM.',

View File

@@ -140,6 +140,14 @@ const translation = {
notConfigured: 'برای فعال‌سازی ردیابی ارائه‌دهنده را پیکربندی کنید',
moreProvider: 'ارائه‌دهندگان بیشتر',
},
arize: {
title: 'Arize',
description: 'قابلیت مشاهده LLM در سطح سازمانی، ارزیابی آنلاین و آفلاین، نظارت و آزمایش — با پشتیبانی از OpenTelemetry. طراحی‌شده مخصوص برنامه‌های مبتنی بر LLM و عامل‌ها.',
},
phoenix: {
title: 'Phoenix',
description: 'پلتفرم متن‌باز و مبتنی بر OpenTelemetry برای مشاهده‌پذیری، ارزیابی، مهندسی پرامپت و آزمایش برای جریان‌های کاری و عامل‌های LLM شما.',
},
langsmith: {
title: 'LangSmith',
description: 'یک پلتفرم همه‌کاره برای هر مرحله از چرخه عمر برنامه‌های مبتنی بر LLM.',

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@@ -136,6 +136,14 @@ const translation = {
notConfigured: 'Configurez le fournisseur pour activer le traçage',
moreProvider: 'Plus de fournisseurs',
},
arize: {
title: 'Arize',
description: 'Observabilité de LLM de niveau entreprise, évaluation en ligne et hors ligne, surveillance et expérimentation—alimentée par OpenTelemetry. Conçue spécialement pour les applications basées sur LLM et agents.',
},
phoenix: {
title: 'Phoenix',
description: 'Plateforme open-source basée sur OpenTelemetry pour lobservabilité, lévaluation, lingénierie des prompts et lexpérimentation de vos flux de travail et agents LLM.',
},
langsmith: {
title: 'LangSmith',
description: 'Une plateforme de développement tout-en-un pour chaque étape du cycle de vie des applications basées sur LLM.',

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@@ -136,6 +136,14 @@ const translation = {
notConfigured: 'ट्रेसिंग सक्षम करने के लिए प्रदाता कॉन्फ़िगर करें',
moreProvider: 'अधिक प्रदाता',
},
arize: {
title: 'Arize',
description: 'एंटरप्राइज-स्तरीय LLM ऑब्ज़र्वेबिलिटी, ऑनलाइन और ऑफ़लाइन मूल्यांकन, मॉनिटरिंग और प्रयोग — OpenTelemetry द्वारा समर्थित। LLM और एजेंट-आधारित अनुप्रयोगों के लिए विशेष रूप से तैयार किया गया।',
},
phoenix: {
title: 'Phoenix',
description: 'आपके LLM वर्कफ़्लोज़ और एजेंट्स के लिए ओपन-सोर्स और OpenTelemetry-आधारित ऑब्ज़र्वेबिलिटी, मूल्यांकन, प्रॉम्प्ट इंजीनियरिंग और प्रयोग का प्लेटफ़ॉर्म।',
},
langsmith: {
title: 'LangSmith',
description: 'LLM-संचालित एप्लिकेशन जीवनचक्र के प्रत्येक चरण के लिए एक ऑल-इन-वन डेवलपर प्लेटफ़ॉर्म।',

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@@ -145,6 +145,14 @@ const translation = {
notConfigured: 'Configura il provider per abilitare il tracciamento',
moreProvider: 'Altri Provider',
},
arize: {
title: 'Arize',
description: 'Osservabilità LLM di livello aziendale, valutazione online e offline, monitoraggio e sperimentazione—alimentata da OpenTelemetry. Progettata appositamente per applicazioni basate su LLM e agenti.',
},
phoenix: {
title: 'Phoenix',
description: 'Piattaforma open-source basata su OpenTelemetry per osservabilità, valutazione, ingegneria dei prompt e sperimentazione per i tuoi flussi di lavoro e agenti LLM.',
},
langsmith: {
title: 'LangSmith',
description:

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@@ -145,6 +145,14 @@ const translation = {
notConfigured: 'トレース機能を有効化するためには、サービスの設定が必要です。',
moreProvider: 'その他のプロバイダー',
},
arize: {
title: 'Arize',
description: 'エンタープライズグレードのLLM可観測性、オンラインおよびオフライン評価、モニタリング、実験—OpenTelemetryによって支えられています。LLMおよびエージェント駆動型アプリケーション向けに特別に設計されています。',
},
phoenix: {
title: 'Phoenix',
description: 'オープンソースおよびOpenTelemetryベースの可観測性、評価、プロンプトエンジニアリング、実験プラットフォームで、LLMワークフローおよびエージェントに対応します。',
},
langsmith: {
title: 'LangSmith',
description: 'LLM を利用したアプリケーションのライフサイクル全段階を支援する、オールインワンの開発者向けプラットフォームです。',

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@@ -132,6 +132,14 @@ const translation = {
notConfigured: '추적을 활성화하려면 제공업체를 구성하세요',
moreProvider: '더 많은 제공업체',
},
arize: {
title: 'Arize',
description: '엔터프라이즈급 LLM 가시성, 온라인 및 오프라인 평가, 모니터링 및 실험—OpenTelemetry를 기반으로 합니다. LLM 및 에이전트 기반 애플리케이션을 위해 특별히 설계되었습니다.',
},
phoenix: {
title: 'Phoenix',
description: '오픈소스 및 OpenTelemetry 기반의 가시성, 평가, 프롬프트 엔지니어링 및 실험 플랫폼으로, LLM 워크플로우 및 에이전트를 지원합니다.',
},
langsmith: {
title: 'LangSmith',
description: 'LLM 기반 애플리케이션 수명 주기의 모든 단계를 위한 올인원 개발자 플랫폼.',

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@@ -143,6 +143,14 @@ const translation = {
notConfigured: 'Skonfiguruj dostawcę, aby włączyć śledzenie',
moreProvider: 'Więcej dostawców',
},
arize: {
title: 'Arize',
description: 'Obserwowalność LLM klasy korporacyjnej, ocena online i offline, monitorowanie i eksperymentowanie — oparta na OpenTelemetry. Zaprojektowana specjalnie dla aplikacji opartych na LLM i agentach.',
},
phoenix: {
title: 'Phoenix',
description: 'Otwarta i oparta na OpenTelemetry platforma do obserwowalności, oceny, inżynierii promptów i eksperymentowania dla Twoich przepływów pracy i agentów LLM.',
},
langsmith: {
title: 'LangSmith',
description: 'Kompleksowa platforma deweloperska dla każdego etapu cyklu życia aplikacji opartej na LLM.',

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@@ -136,6 +136,14 @@ const translation = {
notConfigured: 'Configure o provedor para habilitar o rastreamento',
moreProvider: 'Mais provedores',
},
arize: {
title: 'Arize',
description: 'Observabilidade de LLM de nível empresarial, avaliação online e offline, monitoramento e experimentação—impulsionada pelo OpenTelemetry. Projetado especificamente para aplicações baseadas em LLM e agentes.',
},
phoenix: {
title: 'Phoenix',
description: 'Plataforma de observabilidade, avaliação, engenharia de prompts e experimentação de código aberto baseada em OpenTelemetry para seus fluxos de trabalho e agentes de LLM.',
},
langsmith: {
title: 'LangSmith',
description: 'Uma plataforma de desenvolvedor completa para cada etapa do ciclo de vida do aplicativo impulsionado por LLM.',

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@@ -136,6 +136,14 @@ const translation = {
notConfigured: 'Configurați furnizorul pentru a activa urmărirea',
moreProvider: 'Mai mulți furnizori',
},
arize: {
title: 'Arize',
description: 'Observabilitate LLM de nivel enterprise, evaluare online și offline, monitorizare și experimentare—alimentată de OpenTelemetry. Proiectată special pentru aplicații bazate pe LLM și agenți.',
},
phoenix: {
title: 'Phoenix',
description: 'Platformă open-source și bazată pe OpenTelemetry pentru observabilitate, evaluare, inginerie de prompturi și experimentare pentru fluxurile de lucru și agenții LLM.',
},
langsmith: {
title: 'LangSmith',
description: 'O platformă de dezvoltare all-in-one pentru fiecare etapă a ciclului de viață al aplicației bazate pe LLM.',

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@@ -141,6 +141,14 @@ const translation = {
notConfigured: 'Настройте провайдера, чтобы включить трассировку',
moreProvider: 'Больше провайдеров',
},
arize: {
title: 'Arize',
description: 'Корпоративный уровень наблюдаемости LLM, онлайн и оффлайн оценка, мониторинг и эксперименты—на основе OpenTelemetry. Специально разработан для приложений на базе LLM и агентов.',
},
phoenix: {
title: 'Phoenix',
description: 'Открытая и основанная на OpenTelemetry платформа для наблюдаемости, оценки, инженерии подсказок и экспериментов для ваших рабочих процессов и агентов LLM.',
},
langsmith: {
title: 'LangSmith',
description: 'Универсальная платформа для разработчиков для каждого этапа жизненного цикла приложения на базе LLM.',

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@@ -146,6 +146,14 @@ const translation = {
notConfigured: 'Konfigurirajte ponudnika za omogočanje sledenja',
moreProvider: 'Več ponudnikov',
},
arize: {
title: 'Arize',
description: 'Podjetniško opazovanje LLM, spletno in nespletno vrednotenje, nadzorovanje in eksperimentiranje — s podporo OpenTelemetry. Namenjeno aplikacijam, ki temeljijo na LLM in agentih.',
},
phoenix: {
title: 'Phoenix',
description: 'Odprtokodna in na OpenTelemetry osnovana platforma za opazovanje, vrednotenje, inženiring pozivov ter eksperimentiranje za vaše LLM poteke dela in agente.',
},
langsmith: {
title: 'LangSmith',
description: 'Vse-v-enem razvijalska platforma za vsak korak življenjskega cikla aplikacije, ki jo poganja LLM.',

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@@ -142,6 +142,14 @@ const translation = {
notConfigured: 'ผู้ให้บริการกําหนดค่าเพื่อเปิดใช้งานการติดตาม',
moreProvider: 'ผู้ให้บริการเพิ่มเติม',
},
arize: {
title: 'Arize',
description: 'การสังเกตการณ์ LLM ระดับองค์กร การประเมินออนไลน์และออฟไลน์ การตรวจสอบ และการทดลอง—ขับเคลื่อนโดย OpenTelemetry ออกแบบมาโดยเฉพาะสำหรับแอปพลิเคชันที่ขับเคลื่อนด้วย LLM และตัวแทน',
},
phoenix: {
title: 'Phoenix',
description: 'แพลตฟอร์มโอเพ่นซอร์สและ OpenTelemetry สำหรับการสังเกตการณ์ การประเมิน วิศวกรรมพรอมต์ และการทดลองสำหรับเวิร์กโฟลว์และตัวแทน LLM ของคุณ',
},
langsmith: {
title: 'Langsmith',
description: 'แพลตฟอร์มนักพัฒนาแบบครบวงจรสําหรับทุกขั้นตอนของ การพัฒนาโปรเจกต์ที่ขับเคลื่อนด้วย LLM',

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@@ -136,6 +136,14 @@ const translation = {
notConfigured: 'İzlemeyi etkinleştirmek için sağlayıcıyı yapılandırın',
moreProvider: 'Daha Fazla Sağlayıcı',
},
arize: {
title: 'Arize',
description: 'Kurumsal düzeyde LLM gözlemlenebilirliği, çevrimiçi ve çevrimdışı değerlendirme, izleme ve deneyler — OpenTelemetry ile desteklenmektedir. LLM ve ajan tabanlı uygulamalar için özel olarak tasarlanmıştır.',
},
phoenix: {
title: 'Phoenix',
description: 'LLM iş akışlarınız ve ajanlarınız için açık kaynaklı ve OpenTelemetry tabanlı gözlemlenebilirlik, değerlendirme, istem mühendisliği ve deney platformu.',
},
langsmith: {
title: 'LangSmith',
description: 'LLM destekli uygulama yaşam döngüsünün her adımı için her şeyi kapsayan bir geliştirici platformu.',

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@@ -136,6 +136,14 @@ const translation = {
notConfigured: 'Налаштуйте провайдера для увімкнення відстеження',
moreProvider: 'Більше провайдерів',
},
arize: {
title: 'Arize',
description: 'Спостережуваність LLM корпоративного рівня, онлайн та офлайн оцінювання, моніторинг та експерименти—на основі OpenTelemetry. Спеціально розроблено для застосунків на базі LLM та агентів.',
},
phoenix: {
title: 'Phoenix',
description: 'Відкрита та заснована на OpenTelemetry платформа для спостережуваності, оцінювання, інженерії підказок та експериментів для ваших робочих процесів та агентів LLM.',
},
langsmith: {
title: 'LangSmith',
description: 'Універсальна платформа розробника для кожного етапу життєвого циклу додатку на основі LLM.',

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@@ -136,6 +136,14 @@ const translation = {
notConfigured: 'Cấu hình nhà cung cấp để bật theo dõi',
moreProvider: 'Thêm nhà cung cấp',
},
arize: {
title: 'Arize',
description: 'Khả năng quan sát LLM cấp doanh nghiệp, đánh giá trực tuyến và ngoại tuyến, giám sát và thử nghiệm—được hỗ trợ bởi OpenTelemetry. Được thiết kế đặc biệt cho các ứng dụng dựa trên LLM và tác nhân.',
},
phoenix: {
title: 'Phoenix',
description: 'Nền tảng mã nguồn mở và dựa trên OpenTelemetry cho khả năng quan sát, đánh giá, kỹ thuật prompt và thử nghiệm cho quy trình làm việc và tác nhân LLM của bạn.',
},
langsmith: {
title: 'LangSmith',
description: 'Nền tảng phát triển tất cả trong một cho mọi bước của vòng đời ứng dụng được hỗ trợ bởi LLM.',

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@@ -150,6 +150,14 @@ const translation = {
notConfigured: '配置提供商以启用追踪',
moreProvider: '更多提供商',
},
arize: {
title: 'Arize',
description: '企业级LLM可观测性、在线和离线评估、监控和实验平台基于OpenTelemetry构建专为LLM和代理驱动的应用程序设计。',
},
phoenix: {
title: 'Phoenix',
description: '开源且基于OpenTelemetry的可观测性、评估、提示工程和实验平台适用于您的LLM工作流程和代理。',
},
langsmith: {
title: 'LangSmith',
description: '一个全方位的开发者平台,适用于 LLM 驱动应用程序生命周期的每个步骤。',

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@@ -136,6 +136,14 @@ const translation = {
notConfigured: '配置提供商以啟用追蹤',
moreProvider: '更多提供商',
},
arize: {
title: 'Arize',
description: '企業級LLM可觀測性、線上與離線評估、監控和實驗平台基於OpenTelemetry構建專為LLM和代理驅動的應用程式設計。',
},
phoenix: {
title: 'Phoenix',
description: '開源且基於OpenTelemetry的可觀測性、評估、提示工程和實驗平台適用於您的LLM工作流程和代理。',
},
langsmith: {
title: 'LangSmith',
description: '一個全方位的開發者平台,用於 LLM 驅動的應用程式生命週期的每個步驟。',

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@@ -1,4 +1,4 @@
import type { LangFuseConfig, LangSmithConfig, OpikConfig, TracingProvider, WeaveConfig } from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type'
import type { ArizeConfig, LangFuseConfig, LangSmithConfig, OpikConfig, PhoenixConfig, TracingProvider, WeaveConfig } from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type'
import type { App, AppTemplate, SiteConfig } from '@/types/app'
import type { Dependency } from '@/app/components/plugins/types'
@@ -166,5 +166,5 @@ export type TracingStatus = {
export type TracingConfig = {
tracing_provider: TracingProvider
tracing_config: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig
tracing_config: ArizeConfig | PhoenixConfig | LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig
}

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@@ -722,6 +722,8 @@ html[data-theme="dark"] {
--color-util-colors-midnight-midnight-600: #a7aec5;
--color-util-colors-midnight-midnight-700: #c6cbd9;
--color-third-party-Arize: #ffffff;
--color-third-party-Phoenix: #ffffff;
--color-third-party-LangChain: #ffffff;
--color-third-party-Langfuse: #ffffff;
--color-third-party-Github: #ffffff;

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@@ -722,6 +722,8 @@ html[data-theme="light"] {
--color-util-colors-midnight-midnight-600: #5d698d;
--color-util-colors-midnight-midnight-700: #3e465e;
--color-third-party-Arize: #000000;
--color-third-party-Phoenix: #000000;
--color-third-party-LangChain: #1c3c3c;
--color-third-party-Langfuse: #000000;
--color-third-party-Github: #1b1f24;

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@@ -722,6 +722,8 @@ const vars = {
'util-colors-midnight-midnight-600': 'var(--color-util-colors-midnight-midnight-600)',
'util-colors-midnight-midnight-700': 'var(--color-util-colors-midnight-midnight-700)',
'third-party-Arize': 'var(--color-third-party-Arize)',
'third-party-Phoenix': 'var(--color-third-party-Phoenix)',
'third-party-LangChain': 'var(--color-third-party-LangChain)',
'third-party-Langfuse': 'var(--color-third-party-Langfuse)',
'third-party-Github': 'var(--color-third-party-Github)',