feat: Add W&B Weave Tracing Integration (#14262)

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api/core/ops/entities/config_entity.py

     LANGFUSE = "langfuse"
     LANGSMITH = "langsmith"
     OPIK = "opik"
+    WEAVE = "weave"
 
 
 class BaseTracingConfig(BaseModel):
         return v
 
 
+class WeaveConfig(BaseTracingConfig):
+    """
+    Model class for Weave tracing config.
+    """
+
+    api_key: str
+    entity: str | None = None
+    project: str
+    endpoint: str = "https://trace.wandb.ai"
+
+    @field_validator("endpoint")
+    @classmethod
+    def set_value(cls, v, info: ValidationInfo):
+        if v is None or v == "":
+            v = "https://trace.wandb.ai"
+        if not v.startswith("https://"):
+            raise ValueError("endpoint must start with https://")
+
+        return v
+
+
 OPS_FILE_PATH = "ops_trace/"
 OPS_TRACE_FAILED_KEY = "FAILED_OPS_TRACE"

api/core/ops/ops_trace_manager.py

     LangSmithConfig,
     OpikConfig,
     TracingProviderEnum,
+    WeaveConfig,
 )
 from core.ops.entities.trace_entity import (
     DatasetRetrievalTraceInfo,
 )
 from core.ops.langfuse_trace.langfuse_trace import LangFuseDataTrace
 from core.ops.langsmith_trace.langsmith_trace import LangSmithDataTrace
+from core.ops.opik_trace.opik_trace import OpikDataTrace
 from core.ops.utils import get_message_data
+from core.ops.weave_trace.weave_trace import WeaveDataTrace
 from extensions.ext_database import db
 from extensions.ext_storage import storage
 from models.model import App, AppModelConfig, Conversation, Message, MessageFile, TraceAppConfig
 
 
 def build_opik_trace_instance(config: OpikConfig):
-    from core.ops.opik_trace.opik_trace import OpikDataTrace
-
     return OpikDataTrace(config)
 
 
         "other_keys": ["project", "url", "workspace"],
         "trace_instance": lambda config: build_opik_trace_instance(config),
     },
+    TracingProviderEnum.WEAVE.value: {
+        "config_class": WeaveConfig,
+        "secret_keys": ["api_key"],
+        "other_keys": ["project", "entity", "endpoint"],
+        "trace_instance": WeaveDataTrace,
+    },
 }
 
 

api/core/ops/weave_trace/entities/weave_trace_entity.py

+from typing import Any, Optional, Union
+
+from pydantic import BaseModel, Field, field_validator
+from pydantic_core.core_schema import ValidationInfo
+
+from core.ops.utils import replace_text_with_content
+
+
+class WeaveTokenUsage(BaseModel):
+    input_tokens: Optional[int] = None
+    output_tokens: Optional[int] = None
+    total_tokens: Optional[int] = None
+
+
+class WeaveMultiModel(BaseModel):
+    file_list: Optional[list[str]] = Field(None, description="List of files")
+
+
+class WeaveTraceModel(WeaveTokenUsage, WeaveMultiModel):
+    id: str = Field(..., description="ID of the trace")
+    op: str = Field(..., description="Name of the operation")
+    inputs: Optional[Union[str, dict[str, Any], list, None]] = Field(None, description="Inputs of the trace")
+    outputs: Optional[Union[str, dict[str, Any], list, None]] = Field(None, description="Outputs of the trace")
+    attributes: Optional[Union[str, dict[str, Any], list, None]] = Field(
+        None, description="Metadata and attributes associated with trace"
+    )
+    exception: Optional[str] = Field(None, description="Exception message of the trace")
+
+    @field_validator("inputs", "outputs")
+    @classmethod
+    def ensure_dict(cls, v, info: ValidationInfo):
+        field_name = info.field_name
+        values = info.data
+        if v == {} or v is None:
+            return v
+        usage_metadata = {
+            "input_tokens": values.get("input_tokens", 0),
+            "output_tokens": values.get("output_tokens", 0),
+            "total_tokens": values.get("total_tokens", 0),
+        }
+        file_list = values.get("file_list", [])
+        if isinstance(v, str):
+            if field_name == "inputs":
+                return {
+                    "messages": {
+                        "role": "user",
+                        "content": v,
+                        "usage_metadata": usage_metadata,
+                        "file_list": file_list,
+                    },
+                }
+            elif field_name == "outputs":
+                return {
+                    "choices": {
+                        "role": "ai",
+                        "content": v,
+                        "usage_metadata": usage_metadata,
+                        "file_list": file_list,
+                    },
+                }
+        elif isinstance(v, list):
+            data = {}
+            if len(v) > 0 and isinstance(v[0], dict):
+                # rename text to content
+                v = replace_text_with_content(data=v)
+                if field_name == "inputs":
+                    data = {
+                        "messages": [
+                            dict(msg, **{"usage_metadata": usage_metadata, "file_list": file_list}) for msg in v
+                        ]
+                        if isinstance(v, list)
+                        else v,
+                    }
+                elif field_name == "outputs":
+                    data = {
+                        "choices": {
+                            "role": "ai",
+                            "content": v,
+                            "usage_metadata": usage_metadata,
+                            "file_list": file_list,
+                        },
+                    }
+                return data
+            else:
+                return {
+                    "choices": {
+                        "role": "ai" if field_name == "outputs" else "user",
+                        "content": str(v),
+                        "usage_metadata": usage_metadata,
+                        "file_list": file_list,
+                    },
+                }
+        if isinstance(v, dict):
+            v["usage_metadata"] = usage_metadata
+            v["file_list"] = file_list
+            return v
+        return v

api/core/ops/weave_trace/weave_trace.py

+import json
+import logging
+import os
+import uuid
+from datetime import datetime, timedelta
+from typing import Any, Optional, cast
+
+import wandb
+import weave
+
+from core.ops.base_trace_instance import BaseTraceInstance
+from core.ops.entities.config_entity import WeaveConfig
+from core.ops.entities.trace_entity import (
+    BaseTraceInfo,
+    DatasetRetrievalTraceInfo,
+    GenerateNameTraceInfo,
+    MessageTraceInfo,
+    ModerationTraceInfo,
+    SuggestedQuestionTraceInfo,
+    ToolTraceInfo,
+    TraceTaskName,
+    WorkflowTraceInfo,
+)
+from core.ops.weave_trace.entities.weave_trace_entity import WeaveTraceModel
+from extensions.ext_database import db
+from models.model import EndUser, MessageFile
+from models.workflow import WorkflowNodeExecution
+
+logger = logging.getLogger(__name__)
+
+
+class WeaveDataTrace(BaseTraceInstance):
+    def __init__(
+        self,
+        weave_config: WeaveConfig,
+    ):
+        super().__init__(weave_config)
+        self.weave_api_key = weave_config.api_key
+        self.project_name = weave_config.project
+        self.entity = weave_config.entity
+
+        # Login with API key first
+        login_status = wandb.login(key=self.weave_api_key, verify=True, relogin=True)
+        if not login_status:
+            logger.error("Failed to login to Weights & Biases with the provided API key")
+            raise ValueError("Weave login failed")
+
+        # Then initialize weave client
+        self.weave_client = weave.init(
+            project_name=(f"{self.entity}/{self.project_name}" if self.entity else self.project_name)
+        )
+        self.file_base_url = os.getenv("FILES_URL", "http://127.0.0.1:5001")
+        self.calls: dict[str, Any] = {}
+
+    def get_project_url(
+        self,
+    ):
+        try:
+            project_url = f"https://wandb.ai/{self.weave_client._project_id()}"
+            return project_url
+        except Exception as e:
+            logger.debug(f"Weave get run url failed: {str(e)}")
+            raise ValueError(f"Weave get run url failed: {str(e)}")
+
+    def trace(self, trace_info: BaseTraceInfo):
+        logger.debug(f"Trace info: {trace_info}")
+        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)
+
+    def workflow_trace(self, trace_info: WorkflowTraceInfo):
+        trace_id = trace_info.message_id or trace_info.workflow_run_id
+        if trace_info.start_time is None:
+            trace_info.start_time = datetime.now()
+
+        if trace_info.message_id:
+            message_attributes = trace_info.metadata
+            message_attributes["workflow_app_log_id"] = trace_info.workflow_app_log_id
+
+            message_attributes["message_id"] = trace_info.message_id
+            message_attributes["workflow_run_id"] = trace_info.workflow_run_id
+            message_attributes["trace_id"] = trace_id
+            message_attributes["start_time"] = trace_info.start_time
+            message_attributes["end_time"] = trace_info.end_time
+            message_attributes["tags"] = ["message", "workflow"]
+
+            message_run = WeaveTraceModel(
+                id=trace_info.message_id,
+                op=str(TraceTaskName.MESSAGE_TRACE.value),
+                inputs=dict(trace_info.workflow_run_inputs),
+                outputs=dict(trace_info.workflow_run_outputs),
+                total_tokens=trace_info.total_tokens,
+                attributes=message_attributes,
+                exception=trace_info.error,
+                file_list=[],
+            )
+            self.start_call(message_run, parent_run_id=trace_info.workflow_run_id)
+            self.finish_call(message_run)
+
+        workflow_attributes = trace_info.metadata
+        workflow_attributes["workflow_run_id"] = trace_info.workflow_run_id
+        workflow_attributes["trace_id"] = trace_id
+        workflow_attributes["start_time"] = trace_info.start_time
+        workflow_attributes["end_time"] = trace_info.end_time
+        workflow_attributes["tags"] = ["workflow"]
+
+        workflow_run = WeaveTraceModel(
+            file_list=trace_info.file_list,
+            total_tokens=trace_info.total_tokens,
+            id=trace_info.workflow_run_id,
+            op=str(TraceTaskName.WORKFLOW_TRACE.value),
+            inputs=dict(trace_info.workflow_run_inputs),
+            outputs=dict(trace_info.workflow_run_outputs),
+            attributes=workflow_attributes,
+            exception=trace_info.error,
+        )
+
+        self.start_call(workflow_run, parent_run_id=trace_info.message_id)
+
+        # through workflow_run_id get all_nodes_execution
+        workflow_nodes_execution_id_records = (
+            db.session.query(WorkflowNodeExecution.id)
+            .filter(WorkflowNodeExecution.workflow_run_id == trace_info.workflow_run_id)
+            .all()
+        )
+
+        for node_execution_id_record in workflow_nodes_execution_id_records:
+            node_execution = (
+                db.session.query(
+                    WorkflowNodeExecution.id,
+                    WorkflowNodeExecution.tenant_id,
+                    WorkflowNodeExecution.app_id,
+                    WorkflowNodeExecution.title,
+                    WorkflowNodeExecution.node_type,
+                    WorkflowNodeExecution.status,
+                    WorkflowNodeExecution.inputs,
+                    WorkflowNodeExecution.outputs,
+                    WorkflowNodeExecution.created_at,
+                    WorkflowNodeExecution.elapsed_time,
+                    WorkflowNodeExecution.process_data,
+                    WorkflowNodeExecution.execution_metadata,
+                )
+                .filter(WorkflowNodeExecution.id == node_execution_id_record.id)
+                .first()
+            )
+
+            if not node_execution:
+                continue
+
+            node_execution_id = node_execution.id
+            tenant_id = node_execution.tenant_id
+            app_id = node_execution.app_id
+            node_name = node_execution.title
+            node_type = node_execution.node_type
+            status = node_execution.status
+            if node_type == "llm":
+                inputs = (
+                    json.loads(node_execution.process_data).get("prompts", {}) if node_execution.process_data else {}
+                )
+            else:
+                inputs = json.loads(node_execution.inputs) if node_execution.inputs else {}
+            outputs = json.loads(node_execution.outputs) if node_execution.outputs else {}
+            created_at = node_execution.created_at or datetime.now()
+            elapsed_time = node_execution.elapsed_time
+            finished_at = created_at + timedelta(seconds=elapsed_time)
+
+            execution_metadata = (
+                json.loads(node_execution.execution_metadata) if node_execution.execution_metadata else {}
+            )
+            node_total_tokens = execution_metadata.get("total_tokens", 0)
+            attributes = execution_metadata.copy()
+            attributes.update(
+                {
+                    "workflow_run_id": trace_info.workflow_run_id,
+                    "node_execution_id": node_execution_id,
+                    "tenant_id": tenant_id,
+                    "app_id": app_id,
+                    "app_name": node_name,
+                    "node_type": node_type,
+                    "status": status,
+                }
+            )
+
+            process_data = json.loads(node_execution.process_data) if node_execution.process_data else {}
+            if process_data and process_data.get("model_mode") == "chat":
+                attributes.update(
+                    {
+                        "ls_provider": process_data.get("model_provider", ""),
+                        "ls_model_name": process_data.get("model_name", ""),
+                    }
+                )
+            attributes["tags"] = ["node_execution"]
+            attributes["start_time"] = created_at
+            attributes["end_time"] = finished_at
+            attributes["elapsed_time"] = elapsed_time
+            attributes["workflow_run_id"] = trace_info.workflow_run_id
+            attributes["trace_id"] = trace_id
+            node_run = WeaveTraceModel(
+                total_tokens=node_total_tokens,
+                op=node_type,
+                inputs=inputs,
+                outputs=outputs,
+                file_list=trace_info.file_list,
+                attributes=attributes,
+                id=node_execution_id,
+                exception=None,
+            )
+
+            self.start_call(node_run, parent_run_id=trace_info.workflow_run_id)
+            self.finish_call(node_run)
+
+        self.finish_call(workflow_run)
+
+    def message_trace(self, trace_info: MessageTraceInfo):
+        # get message file data
+        file_list = cast(list[str], trace_info.file_list) or []
+        message_file_data: Optional[MessageFile] = trace_info.message_file_data
+        file_url = f"{self.file_base_url}/{message_file_data.url}" if message_file_data else ""
+        file_list.append(file_url)
+        attributes = trace_info.metadata
+        message_data = trace_info.message_data
+        if message_data is None:
+            return
+        message_id = message_data.id
+
+        user_id = message_data.from_account_id
+        attributes["user_id"] = user_id
+
+        if message_data.from_end_user_id:
+            end_user_data: Optional[EndUser] = (
+                db.session.query(EndUser).filter(EndUser.id == message_data.from_end_user_id).first()
+            )
+            if end_user_data is not None:
+                end_user_id = end_user_data.session_id
+                attributes["end_user_id"] = end_user_id
+
+        attributes["message_id"] = message_id
+        attributes["start_time"] = trace_info.start_time
+        attributes["end_time"] = trace_info.end_time
+        attributes["tags"] = ["message", str(trace_info.conversation_mode)]
+        message_run = WeaveTraceModel(
+            id=message_id,
+            op=str(TraceTaskName.MESSAGE_TRACE.value),
+            input_tokens=trace_info.message_tokens,
+            output_tokens=trace_info.answer_tokens,
+            total_tokens=trace_info.total_tokens,
+            inputs=trace_info.inputs,
+            outputs=trace_info.outputs,
+            exception=trace_info.error,
+            file_list=file_list,
+            attributes=attributes,
+        )
+        self.start_call(message_run)
+
+        # create llm run parented to message run
+        llm_run = WeaveTraceModel(
+            id=str(uuid.uuid4()),
+            input_tokens=trace_info.message_tokens,
+            output_tokens=trace_info.answer_tokens,
+            total_tokens=trace_info.total_tokens,
+            op="llm",
+            inputs=trace_info.inputs,
+            outputs=trace_info.outputs,
+            attributes=attributes,
+            file_list=[],
+            exception=None,
+        )
+        self.start_call(
+            llm_run,
+            parent_run_id=message_id,
+        )
+        self.finish_call(llm_run)
+        self.finish_call(message_run)
+
+    def moderation_trace(self, trace_info: ModerationTraceInfo):
+        if trace_info.message_data is None:
+            return
+
+        attributes = trace_info.metadata
+        attributes["tags"] = ["moderation"]
+        attributes["message_id"] = trace_info.message_id
+        attributes["start_time"] = trace_info.start_time or trace_info.message_data.created_at
+        attributes["end_time"] = trace_info.end_time or trace_info.message_data.updated_at
+
+        moderation_run = WeaveTraceModel(
+            id=str(uuid.uuid4()),
+            op=str(TraceTaskName.MODERATION_TRACE.value),
+            inputs=trace_info.inputs,
+            outputs={
+                "action": trace_info.action,
+                "flagged": trace_info.flagged,
+                "preset_response": trace_info.preset_response,
+                "inputs": trace_info.inputs,
+            },
+            attributes=attributes,
+            exception=getattr(trace_info, "error", None),
+            file_list=[],
+        )
+        self.start_call(moderation_run, parent_run_id=trace_info.message_id)
+        self.finish_call(moderation_run)
+
+    def suggested_question_trace(self, trace_info: SuggestedQuestionTraceInfo):
+        message_data = trace_info.message_data
+        if message_data is None:
+            return
+        attributes = trace_info.metadata
+        attributes["message_id"] = trace_info.message_id
+        attributes["tags"] = ["suggested_question"]
+        attributes["start_time"] = (trace_info.start_time or message_data.created_at,)
+        attributes["end_time"] = (trace_info.end_time or message_data.updated_at,)
+
+        suggested_question_run = WeaveTraceModel(
+            id=str(uuid.uuid4()),
+            op=str(TraceTaskName.SUGGESTED_QUESTION_TRACE.value),
+            inputs=trace_info.inputs,
+            outputs=trace_info.suggested_question,
+            attributes=attributes,
+            exception=trace_info.error,
+            file_list=[],
+        )
+
+        self.start_call(suggested_question_run, parent_run_id=trace_info.message_id)
+        self.finish_call(suggested_question_run)
+
+    def dataset_retrieval_trace(self, trace_info: DatasetRetrievalTraceInfo):
+        if trace_info.message_data is None:
+            return
+        attributes = trace_info.metadata
+        attributes["message_id"] = trace_info.message_id
+        attributes["tags"] = ["dataset_retrieval"]
+        attributes["start_time"] = (trace_info.start_time or trace_info.message_data.created_at,)
+        attributes["end_time"] = (trace_info.end_time or trace_info.message_data.updated_at,)
+
+        dataset_retrieval_run = WeaveTraceModel(
+            id=str(uuid.uuid4()),
+            op=str(TraceTaskName.DATASET_RETRIEVAL_TRACE.value),
+            inputs=trace_info.inputs,
+            outputs={"documents": trace_info.documents},
+            attributes=attributes,
+            exception=getattr(trace_info, "error", None),
+            file_list=[],
+        )
+
+        self.start_call(dataset_retrieval_run, parent_run_id=trace_info.message_id)
+        self.finish_call(dataset_retrieval_run)
+
+    def tool_trace(self, trace_info: ToolTraceInfo):
+        attributes = trace_info.metadata
+        attributes["tags"] = ["tool", trace_info.tool_name]
+        attributes["start_time"] = trace_info.start_time
+        attributes["end_time"] = trace_info.end_time
+
+        tool_run = WeaveTraceModel(
+            id=str(uuid.uuid4()),
+            op=trace_info.tool_name,
+            inputs=trace_info.tool_inputs,
+            outputs=trace_info.tool_outputs,
+            file_list=[cast(str, trace_info.file_url)] if trace_info.file_url else [],
+            attributes=attributes,
+            exception=trace_info.error,
+        )
+        message_id = trace_info.message_id or getattr(trace_info, "conversation_id", None)
+        message_id = message_id or None
+        self.start_call(tool_run, parent_run_id=message_id)
+        self.finish_call(tool_run)
+
+    def generate_name_trace(self, trace_info: GenerateNameTraceInfo):
+        attributes = trace_info.metadata
+        attributes["tags"] = ["generate_name"]
+        attributes["start_time"] = trace_info.start_time
+        attributes["end_time"] = trace_info.end_time
+
+        name_run = WeaveTraceModel(
+            id=str(uuid.uuid4()),
+            op=str(TraceTaskName.GENERATE_NAME_TRACE.value),
+            inputs=trace_info.inputs,
+            outputs=trace_info.outputs,
+            attributes=attributes,
+            exception=getattr(trace_info, "error", None),
+            file_list=[],
+        )
+
+        self.start_call(name_run)
+        self.finish_call(name_run)
+
+    def api_check(self):
+        try:
+            login_status = wandb.login(key=self.weave_api_key, verify=True, relogin=True)
+            if not login_status:
+                raise ValueError("Weave login failed")
+            else:
+                print("Weave login successful")
+                return True
+        except Exception as e:
+            logger.debug(f"Weave API check failed: {str(e)}")
+            raise ValueError(f"Weave API check failed: {str(e)}")
+
+    def start_call(self, run_data: WeaveTraceModel, parent_run_id: Optional[str] = None):
+        call = self.weave_client.create_call(op=run_data.op, inputs=run_data.inputs, attributes=run_data.attributes)
+        self.calls[run_data.id] = call
+        if parent_run_id:
+            self.calls[run_data.id].parent_id = parent_run_id
+
+    def finish_call(self, run_data: WeaveTraceModel):
+        call = self.calls.get(run_data.id)
+        if call:
+            self.weave_client.finish_call(call=call, output=run_data.outputs, exception=run_data.exception)
+        else:
+            raise ValueError(f"Call with id {run_data.id} not found")

api/pyproject.toml

     "transformers~=4.35.0",
     "unstructured[docx,epub,md,ppt,pptx]~=0.16.1",
     "validators==0.21.0",
+    "weave~=0.51.34",
     "yarl~=1.18.3",
 ]
 # Before adding new dependency, consider place it in

api/services/ops_service.py

                 new_decrypt_tracing_config.update({"project_url": project_url})
             except Exception:
                 new_decrypt_tracing_config.update({"project_url": "https://www.comet.com/opik/"})
-
+        if tracing_provider == "weave" 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://wandb.ai/"})
         trace_config_data.tracing_config = new_decrypt_tracing_config
         return trace_config_data.to_dict()
 

api/tasks/ops_trace_task.py

                     trace_info = trace_type(**trace_info)
                 trace_instance.trace(trace_info)
         logging.info(f"Processing trace tasks success, app_id: {app_id}")
-    except Exception:
+    except Exception as e:
+        logging.info(
+            f"error:\n\n\n{e}\n\n\n\n",
+        )
         failed_key = f"{OPS_TRACE_FAILED_KEY}_{app_id}"
         redis_client.incr(failed_key)
         logging.info(f"Processing trace tasks failed, app_id: {app_id}")

api/uv.lock

 version = 1
+revision = 1
 requires-python = ">=3.11, <3.13"
 resolution-markers = [
-    "python_full_version >= '3.12.4' and platform_python_implementation != 'PyPy'",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_python_implementation != 'PyPy'",
-    "python_full_version >= '3.12.4' and platform_python_implementation == 'PyPy'",
-    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_python_implementation == 'PyPy'",
-    "python_full_version < '3.12' and platform_python_implementation != 'PyPy'",
-    "python_full_version < '3.12' and platform_python_implementation == 'PyPy'",
+    "python_full_version >= '3.12.4' and platform_python_implementation != 'PyPy' and sys_platform == 'linux'",
+    "python_full_version >= '3.12.4' and platform_python_implementation != 'PyPy' and sys_platform != 'linux'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_python_implementation != 'PyPy' and sys_platform == 'linux'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_python_implementation != 'PyPy' and sys_platform != 'linux'",
+    "python_full_version >= '3.12.4' and platform_python_implementation == 'PyPy' and sys_platform == 'linux'",
+    "python_full_version >= '3.12.4' and platform_python_implementation == 'PyPy' and sys_platform != 'linux'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_python_implementation == 'PyPy' and sys_platform == 'linux'",
+    "python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_python_implementation == 'PyPy' and sys_platform != 'linux'",
+    "python_full_version < '3.12' and platform_python_implementation != 'PyPy' and sys_platform == 'linux'",
+    "python_full_version < '3.12' and platform_python_implementation != 'PyPy' and sys_platform != 'linux'",
+    "python_full_version < '3.12' and platform_python_implementation == 'PyPy' and sys_platform == 'linux'",
+    "python_full_version < '3.12' and platform_python_implementation == 'PyPy' and sys_platform != 'linux'",
 ]
 
 [[package]]
 version = "1.2.2.post1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "os_name == 'nt'" },
+    { name = "colorama", marker = "os_name == 'nt' and sys_platform != 'linux'" },
     { name = "packaging" },
     { name = "pyproject-hooks" },
 ]
     { name = "transformers" },
     { name = "unstructured", extra = ["docx", "epub", "md", "ppt", "pptx"] },
     { name = "validators" },
+    { name = "weave" },
     { name = "yarl" },
 ]
 
     { name = "transformers", specifier = "~=4.35.0" },
     { name = "unstructured", extras = ["docx", "epub", "md", "ppt", "pptx"], specifier = "~=0.16.1" },
     { name = "validators", specifier = "==0.21.0" },
+    { name = "weave", specifier = "~=0.51.34" },
     { name = "yarl", specifier = "~=1.18.3" },
 ]
 
     { name = "xinference-client", specifier = "~=1.2.2" },
 ]
 
+[[package]]
+name = "diskcache"
+version = "5.6.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/3f/21/1c1ffc1a039ddcc459db43cc108658f32c57d271d7289a2794e401d0fdb6/diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc", size = 67916 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3f/27/4570e78fc0bf5ea0ca45eb1de3818a23787af9b390c0b0a0033a1b8236f9/diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19", size = 45550 },
+]
+
 [[package]]
 name = "distro"
 version = "1.9.0"
     { url = "https://files.pythonhosted.org/packages/12/b3/231ffd4ab1fc9d679809f356cebee130ac7daa00d6d6f3206dd4fd137e9e/distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2", size = 20277 },
 ]
 
+[[package]]
+name = "docker-pycreds"
+version = "0.4.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "six" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c5/e6/d1f6c00b7221e2d7c4b470132c931325c8b22c51ca62417e300f5ce16009/docker-pycreds-0.4.0.tar.gz", hash = "sha256:6ce3270bcaf404cc4c3e27e4b6c70d3521deae82fb508767870fdbf772d584d4", size = 8754 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f5/e8/f6bd1eee09314e7e6dee49cbe2c5e22314ccdb38db16c9fc72d2fa80d054/docker_pycreds-0.4.0-py2.py3-none-any.whl", hash = "sha256:7266112468627868005106ec19cd0d722702d2b7d5912a28e19b826c3d37af49", size = 8982 },
+]
+
 [[package]]
 name = "docstring-parser"
 version = "0.16"
     { url = "https://files.pythonhosted.org/packages/11/b2/5d20664ef6a077bec9f27f7a7ee761edc64946d0b1e293726a3d074a9a18/gevent-24.11.1-cp312-cp312-win_amd64.whl", hash = "sha256:68bee86b6e1c041a187347ef84cf03a792f0b6c7238378bf6ba4118af11feaae", size = 1541631 },
 ]
 
+[[package]]
+name = "gitdb"
+version = "4.0.12"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "smmap" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/72/94/63b0fc47eb32792c7ba1fe1b694daec9a63620db1e313033d18140c2320a/gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571", size = 394684 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a0/61/5c78b91c3143ed5c14207f463aecfc8f9dbb5092fb2869baf37c273b2705/gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf", size = 62794 },
+]
+
+[[package]]
+name = "gitpython"
+version = "3.1.44"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "gitdb" },
+]
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+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1d/9a/4114a9057db2f1462d5c8f8390ab7383925fe1ac012eaa42402ad65c2963/GitPython-3.1.44-py3-none-any.whl", hash = "sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110", size = 207599 },
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 name = "gmpy2"
 version = "2.2.1"
     { url = "https://files.pythonhosted.org/packages/47/3a/1a7cac16438f4e5319a0c879416d5e5032c98c3db2874e6e5300b3b475e6/gotrue-2.11.4-py3-none-any.whl", hash = "sha256:712e5018acc00d93cfc6d7bfddc3114eb3c420ab03b945757a8ba38c5fc3caa8", size = 41106 },
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+[[package]]
+name = "gql"
+version = "3.5.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "anyio" },
+    { name = "backoff" },
+    { name = "graphql-core" },
+    { name = "yarl" },
+]
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+wheels = [
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+]
+
+[package.optional-dependencies]
+aiohttp = [
+    { name = "aiohttp" },
+]
+requests = [
+    { name = "requests" },
+    { name = "requests-toolbelt" },
+]
+
+[[package]]
+name = "graphql-core"
+version = "3.2.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/66/9e/aa527fb09a9d7399d5d7d2aa2da490e4580707652d3b4fc156996ae88a5b/graphql-core-3.2.4.tar.gz", hash = "sha256:acbe2e800980d0e39b4685dd058c2f4042660b89ebca38af83020fd872ff1264", size = 504611 }
+wheels = [
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+]
+
 [[package]]
 name = "greenlet"
 version = "3.1.1"
     { url = "https://files.pythonhosted.org/packages/37/f3/9b18362206b244167c958984b57c7f70a0289bfb59a530dd8af5f699b910/pillow-11.1.0-cp312-cp312-win_arm64.whl", hash = "sha256:4dd43a78897793f60766563969442020e90eb7847463eca901e41ba186a7d4a5", size = 2375240 },
 ]
 
+[[package]]
+name = "platformdirs"
+version = "4.3.7"
+source = { registry = "https://pypi.org/simple" }
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     { url = "https://files.pythonhosted.org/packages/af/cd/ed6e429fb0792ce368f66e83246264dd3a7a045b0b1e63043ed22a063ce5/pycryptodome-3.19.1-cp35-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:7c9e222d0976f68d0cf6409cfea896676ddc1d98485d601e9508f90f60e2b0a2", size = 2144914 },
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 ]
 
 [[package]]
     { name = "markupsafe" },
 ]
 
+[[package]]
+name = "setproctitle"
+version = "1.3.5"
+source = { registry = "https://pypi.org/simple" }
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     { url = "https://files.pythonhosted.org/packages/fd/84/fd2ba7aafacbad3c4201d395674fc6348826569da3c0937e75505ead3528/wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859", size = 34166 },
 ]
 
+[[package]]
+name = "weave"
+version = "0.51.43"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "diskcache" },
+    { name = "emoji" },
+    { name = "gql", extra = ["aiohttp", "requests"] },
+    { name = "jsonschema" },
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "pydantic" },
+    { name = "rich" },
+    { name = "tenacity" },
+    { name = "uuid-utils" },
+    { name = "wandb" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e1/b4/8fb1e21bc0b0442be9c4c5e4644847596cd75a35a313a5887f1eadda8da2/weave-0.51.43.tar.gz", hash = "sha256:bab4ba6f7ba33f1975e5f6399b7fc4ad6b25c0e2cd22d197bb9358a7b9596b91", size = 368936 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a8/40/1e374d3f1f8389a4228426b5a87aae7428a7eb74dfa633de98d86796eb41/weave-0.51.43-py3-none-any.whl", hash = "sha256:2e9faa0e21bd5a6fea363142891ee4f2e347951b98f0d7082acb0273432cb940", size = 473685 },
+]
+
 [[package]]
 name = "weaviate-client"
 version = "3.21.0"

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config-popup.tsx

 import { useBoolean } from 'ahooks'
 import TracingIcon from './tracing-icon'
 import ProviderPanel from './provider-panel'
-import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type'
+import type { LangFuseConfig, LangSmithConfig, OpikConfig, WeaveConfig } from './type'
 import { TracingProvider } from './type'
 import ProviderConfigModal from './provider-config-modal'
 import Indicator from '@/app/components/header/indicator'
   langSmithConfig: LangSmithConfig | null
   langFuseConfig: LangFuseConfig | null
   opikConfig: OpikConfig | null
-  onConfigUpdated: (provider: TracingProvider, payload: LangSmithConfig | LangFuseConfig | OpikConfig) => void
+  weaveConfig: WeaveConfig | null
+  onConfigUpdated: (provider: TracingProvider, payload: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => void
   onConfigRemoved: (provider: TracingProvider) => void
 }
 
   langSmithConfig,
   langFuseConfig,
   opikConfig,
+  weaveConfig,
   onConfigUpdated,
   onConfigRemoved,
 }) => {
     }
   }, [onChooseProvider])
 
-  const handleConfigUpdated = useCallback((payload: LangSmithConfig | LangFuseConfig | OpikConfig) => {
+  const handleConfigUpdated = useCallback((payload: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => {
     onConfigUpdated(currentProvider!, payload)
     hideConfigModal()
   }, [currentProvider, hideConfigModal, onConfigUpdated])
     hideConfigModal()
   }, [currentProvider, hideConfigModal, onConfigRemoved])
 
-  const providerAllConfigured = langSmithConfig && langFuseConfig && opikConfig
-  const providerAllNotConfigured = !langSmithConfig && !langFuseConfig && !opikConfig
+  const providerAllConfigured = langSmithConfig && langFuseConfig && opikConfig && weaveConfig
+  const providerAllNotConfigured = !langSmithConfig && !langFuseConfig && !opikConfig && !weaveConfig
 
   const switchContent = (
     <Switch
     />
   )
 
+  const weavePanel = (
+    <ProviderPanel
+      type={TracingProvider.weave}
+      readOnly={readOnly}
+      config={weaveConfig}
+      hasConfigured={!!weaveConfig}
+      onConfig={handleOnConfig(TracingProvider.weave)}
+      isChosen={chosenProvider === TracingProvider.weave}
+      onChoose={handleOnChoose(TracingProvider.weave)}
+      key="weave-provider-panel"
+    />
+  )
   const configuredProviderPanel = () => {
     const configuredPanels: JSX.Element[] = []
 
-    if (langSmithConfig)
-      configuredPanels.push(langSmithPanel)
-
     if (langFuseConfig)
       configuredPanels.push(langfusePanel)
 
+    if (langSmithConfig)
+      configuredPanels.push(langSmithPanel)
+
     if (opikConfig)
       configuredPanels.push(opikPanel)
 
+    if (weaveConfig)
+      configuredPanels.push(weavePanel)
+
     return configuredPanels
   }
 
   const moreProviderPanel = () => {
     const notConfiguredPanels: JSX.Element[] = []
 
-    if (!langSmithConfig)
-      notConfiguredPanels.push(langSmithPanel)
-
     if (!langFuseConfig)
       notConfiguredPanels.push(langfusePanel)
 
+    if (!langSmithConfig)
+      notConfiguredPanels.push(langSmithPanel)
+
     if (!opikConfig)
       notConfiguredPanels.push(opikPanel)
 
+    if (!weaveConfig)
+      notConfiguredPanels.push(weavePanel)
+
     return notConfiguredPanels
   }
 
       return langSmithConfig
     if (currentProvider === TracingProvider.langfuse)
       return langFuseConfig
-    return opikConfig
+    if (currentProvider === TracingProvider.opik)
+      return opikConfig
+    return weaveConfig
   }
 
   return (
             <>
               <div className='system-xs-medium-uppercase text-text-tertiary'>{t(`${I18N_PREFIX}.configProviderTitle.${providerAllConfigured ? 'configured' : 'notConfigured'}`)}</div>
               <div className='mt-2 space-y-2'>
-                {langSmithPanel}
                 {langfusePanel}
+                {langSmithPanel}
                 {opikPanel}
+                {weavePanel}
               </div>
             </>
           )

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/config.ts

   [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',
+  [TracingProvider.weave]: 'https://weave-docs.wandb.ai/',
 }

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/panel.tsx

 import { useTranslation } from 'react-i18next'
 import { usePathname } from 'next/navigation'
 import { useBoolean } from 'ahooks'
-import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type'
+import type { LangFuseConfig, LangSmithConfig, OpikConfig, 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 } from '@/app/components/base/icons/src/public/tracing'
+import { LangfuseIcon, LangsmithIcon, OpikIcon, 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'
         ? LangfuseIcon
         : inUseTracingProvider === TracingProvider.opik
           ? OpikIcon
-          : LangsmithIcon
+          : inUseTracingProvider === TracingProvider.weave
+            ? WeaveIcon
+            : LangsmithIcon
 
   const [langSmithConfig, setLangSmithConfig] = useState<LangSmithConfig | null>(null)
   const [langFuseConfig, setLangFuseConfig] = useState<LangFuseConfig | null>(null)
   const [opikConfig, setOpikConfig] = useState<OpikConfig | null>(null)
-  const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig || opikConfig)
+  const [weaveConfig, setWeaveConfig] = useState<WeaveConfig | null>(null)
+  const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig || opikConfig || weaveConfig)
 
   const fetchTracingConfig = async () => {
     const { tracing_config: langSmithConfig, has_not_configured: langSmithHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.langSmith })
     const { tracing_config: opikConfig, has_not_configured: OpikHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.opik })
     if (!OpikHasNotConfig)
       setOpikConfig(opikConfig as OpikConfig)
+    const { tracing_config: weaveConfig, has_not_configured: weaveHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.weave })
+    if (!weaveHasNotConfig)
+      setWeaveConfig(weaveConfig as WeaveConfig)
   }
 
   const handleTracingConfigUpdated = async (provider: TracingProvider) => {
       setLangFuseConfig(tracing_config as LangFuseConfig)
     else if (provider === TracingProvider.opik)
       setOpikConfig(tracing_config as OpikConfig)
+    else if (provider === TracingProvider.weave)
+      setWeaveConfig(tracing_config as WeaveConfig)
   }
 
   const handleTracingConfigRemoved = (provider: TracingProvider) => {
       setLangFuseConfig(null)
     else if (provider === TracingProvider.opik)
       setOpikConfig(null)
+    else if (provider === TracingProvider.weave)
+      setWeaveConfig(null)
     if (provider === inUseTracingProvider) {
       handleTracingStatusChange({
         enabled: false,
                 langSmithConfig={langSmithConfig}
                 langFuseConfig={langFuseConfig}
                 opikConfig={opikConfig}
+                weaveConfig={weaveConfig}
                 onConfigUpdated={handleTracingConfigUpdated}
                 onConfigRemoved={handleTracingConfigRemoved}
                 controlShowPopup={controlShowPopup}
                 langSmithConfig={langSmithConfig}
                 langFuseConfig={langFuseConfig}
                 opikConfig={opikConfig}
+                weaveConfig={weaveConfig}
                 onConfigUpdated={handleTracingConfigUpdated}
                 onConfigRemoved={handleTracingConfigRemoved}
                 controlShowPopup={controlShowPopup}

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-config-modal.tsx

 import { useTranslation } from 'react-i18next'
 import { useBoolean } from 'ahooks'
 import Field from './field'
-import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type'
+import type { LangFuseConfig, LangSmithConfig, OpikConfig, WeaveConfig } from './type'
 import { TracingProvider } from './type'
 import { docURL } from './config'
 import {
 type Props = {
   appId: string
   type: TracingProvider
-  payload?: LangSmithConfig | LangFuseConfig | OpikConfig | null
+  payload?: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig | null
   onRemoved: () => void
   onCancel: () => void
-  onSaved: (payload: LangSmithConfig | LangFuseConfig | OpikConfig) => void
+  onSaved: (payload: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig) => void
   onChosen: (provider: TracingProvider) => void
 }
 
   workspace: '',
 }
 
+const weaveConfigTemplate = {
+  api_key: '',
+  entity: '',
+  project: '',
+  endpoint: '',
+}
+
 const ProviderConfigModal: FC<Props> = ({
   appId,
   type,
   const isEdit = !!payload
   const isAdd = !isEdit
   const [isSaving, setIsSaving] = useState(false)
-  const [config, setConfig] = useState<LangSmithConfig | LangFuseConfig | OpikConfig>((() => {
+  const [config, setConfig] = useState<LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig>((() => {
     if (isEdit)
       return payload
 
     else if (type === TracingProvider.langfuse)
       return langFuseConfigTemplate
 
-    return opikConfigTemplate
+    else if (type === TracingProvider.opik)
+      return opikConfigTemplate
+
+    return weaveConfigTemplate
   })())
   const [isShowRemoveConfirm, {
     setTrue: showRemoveConfirm,
       // const postData = config as OpikConfig
     }
 
+    if (type === TracingProvider.weave) {
+      const postData = config as WeaveConfig
+      if (!errorMessage && !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`) })
+    }
+
     return errorMessage
   }, [config, t, type])
   const handleSave = useCallback(async () => {
                     </div>
 
                     <div className='space-y-4'>
+                      {type === TracingProvider.weave && (
+                        <>
+                          <Field
+                            label='API Key'
+                            labelClassName='!text-sm'
+                            isRequired
+                            value={(config as WeaveConfig).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 WeaveConfig).project}
+                            onChange={handleConfigChange('project')}
+                            placeholder={t(`${I18N_PREFIX}.placeholder`, { key: t(`${I18N_PREFIX}.project`) })!}
+                          />
+                          <Field
+                            label='Entity'
+                            labelClassName='!text-sm'
+                            value={(config as WeaveConfig).entity}
+                            onChange={handleConfigChange('entity')}
+                            placeholder={t(`${I18N_PREFIX}.placeholder`, { key: 'Entity' })!}
+                          />
+                          <Field
+                            label='Endpoint'
+                            labelClassName='!text-sm'
+                            value={(config as WeaveConfig).endpoint}
+                            onChange={handleConfigChange('endpoint')}
+                            placeholder={'https://trace.wandb.ai/'}
+                          />
+                        </>
+                      )}
                       {type === TracingProvider.langSmith && (
                         <>
                           <Field
                           />
                         </>
                       )}
-
                     </div>
                     <div className='my-8 flex h-8 items-center justify-between'>
                       <a

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/provider-panel.tsx

 import { useTranslation } from 'react-i18next'
 import { TracingProvider } from './type'
 import cn from '@/utils/classnames'
-import { LangfuseIconBig, LangsmithIconBig, OpikIconBig } from '@/app/components/base/icons/src/public/tracing'
+import { LangfuseIconBig, LangsmithIconBig, OpikIconBig, 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'
     [TracingProvider.langSmith]: LangsmithIconBig,
     [TracingProvider.langfuse]: LangfuseIconBig,
     [TracingProvider.opik]: OpikIconBig,
+    [TracingProvider.weave]: WeaveIconBig,
   })[type]
 }
 

web/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type.ts

   langSmith = 'langsmith',
   langfuse = 'langfuse',
   opik = 'opik',
+  weave = 'weave',
 }
 
 export type LangSmithConfig = {
   workspace: string
   url: string
 }
+
+export type WeaveConfig = {
+  api_key: string
+  entity: string
+  project: string
+  endpoint: string
+}

web/app/components/base/icons/src/public/tracing/WeaveIcon.tsx

+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './WeaveIcon.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'WeaveIcon'
+
+export default Icon

web/app/components/base/icons/src/public/tracing/WeaveIconBig.tsx

+// GENERATE BY script
+// DON NOT EDIT IT MANUALLY
+
+import * as React from 'react'
+import data from './WeaveIconBig.json'
+import IconBase from '@/app/components/base/icons/IconBase'
+import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
+
+const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
+  props,
+  ref,
+) => <IconBase {...props} ref={ref} data={data as IconData} />)
+
+Icon.displayName = 'WeaveIconBig'
+
+export default Icon

web/app/components/base/icons/src/public/tracing/index.ts

 export { default as OpikIconBig } from './OpikIconBig'
 export { default as OpikIcon } from './OpikIcon'
 export { default as TracingIcon } from './TracingIcon'
+export { default as WeaveIconBig } from './WeaveIconBig'
+export { default as WeaveIcon } from './WeaveIcon'

web/i18n/en-US/app.ts

       title: 'Opik',
       description: 'Opik is an open-source platform for evaluating, testing, and monitoring LLM applications.',
     },
+    weave: {
+      title: 'Weave',
+      description: 'Weave is an open-source platform for evaluating, testing, and monitoring LLM applications.',
+    },
     inUse: 'In use',
     configProvider: {
       title: 'Config ',

web/models/app.ts

-import type { LangFuseConfig, LangSmithConfig, OpikConfig, TracingProvider } from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type'
-import type { App, AppMode, AppSSO, AppTemplate, SiteConfig } from '@/types/app'
+import type { LangFuseConfig, LangSmithConfig, OpikConfig, TracingProvider, WeaveConfig } from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/tracing/type'
+import type { App, AppSSO, AppTemplate, SiteConfig } from '@/types/app'
 import type { Dependency } from '@/app/components/plugins/types'
 
 export enum DSLImportMode {
 
 export type TracingConfig = {
   tracing_provider: TracingProvider
-  tracing_config: LangSmithConfig | LangFuseConfig | OpikConfig
+  tracing_config: LangSmithConfig | LangFuseConfig | OpikConfig | WeaveConfig
 }