refactor: refactor python sdk (#28118)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

sdks/python-client/dify_client/base_client.py

@@ -0,0 +1,228 @@
+"""Base client with common functionality for both sync and async clients."""
+
+import json
+import time
+import logging
+from typing import Dict, Callable, Optional
+
+try:
+    # Python 3.10+
+    from typing import ParamSpec
+except ImportError:
+    # Python < 3.10
+    from typing_extensions import ParamSpec
+
+from urllib.parse import urljoin
+
+import httpx
+
+P = ParamSpec("P")
+
+from .exceptions import (
+    DifyClientError,
+    APIError,
+    AuthenticationError,
+    RateLimitError,
+    ValidationError,
+    NetworkError,
+    TimeoutError,
+)
+
+
+class BaseClientMixin:
+    """Mixin class providing common functionality for Dify clients."""
+
+    def __init__(
+        self,
+        api_key: str,
+        base_url: str = "https://api.dify.ai/v1",
+        timeout: float = 60.0,
+        max_retries: int = 3,
+        retry_delay: float = 1.0,
+        enable_logging: bool = False,
+    ):
+        """Initialize the base client.
+
+        Args:
+            api_key: Your Dify API key
+            base_url: Base URL for the Dify API
+            timeout: Request timeout in seconds
+            max_retries: Maximum number of retry attempts
+            retry_delay: Delay between retries in seconds
+            enable_logging: Enable detailed logging
+        """
+        if not api_key:
+            raise ValidationError("API key is required")
+
+        self.api_key = api_key
+        self.base_url = base_url.rstrip("/")
+        self.timeout = timeout
+        self.max_retries = max_retries
+        self.retry_delay = retry_delay
+        self.enable_logging = enable_logging
+
+        # Setup logging
+        self.logger = logging.getLogger(f"dify_client.{self.__class__.__name__.lower()}")
+        if enable_logging and not self.logger.handlers:
+            # Create console handler with formatter
+            handler = logging.StreamHandler()
+            formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
+            handler.setFormatter(formatter)
+            self.logger.addHandler(handler)
+            self.logger.setLevel(logging.INFO)
+            self.enable_logging = True
+        else:
+            self.enable_logging = enable_logging
+
+    def _get_headers(self, content_type: str = "application/json") -> Dict[str, str]:
+        """Get common request headers."""
+        return {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": content_type,
+            "User-Agent": "dify-client-python/0.1.12",
+        }
+
+    def _build_url(self, endpoint: str) -> str:
+        """Build full URL from endpoint."""
+        return urljoin(self.base_url + "/", endpoint.lstrip("/"))
+
+    def _handle_response(self, response: httpx.Response) -> httpx.Response:
+        """Handle HTTP response and raise appropriate exceptions."""
+        try:
+            if response.status_code == 401:
+                raise AuthenticationError(
+                    "Authentication failed. Check your API key.",
+                    status_code=response.status_code,
+                    response=response.json() if response.content else None,
+                )
+            elif response.status_code == 429:
+                retry_after = response.headers.get("Retry-After")
+                raise RateLimitError(
+                    "Rate limit exceeded. Please try again later.",
+                    retry_after=int(retry_after) if retry_after else None,
+                )
+            elif response.status_code >= 400:
+                try:
+                    error_data = response.json()
+                    message = error_data.get("message", f"HTTP {response.status_code}")
+                except:
+                    message = f"HTTP {response.status_code}: {response.text}"
+
+                raise APIError(
+                    message,
+                    status_code=response.status_code,
+                    response=response.json() if response.content else None,
+                )
+
+            return response
+
+        except json.JSONDecodeError:
+            raise APIError(
+                f"Invalid JSON response: {response.text}",
+                status_code=response.status_code,
+            )
+
+    def _retry_request(
+        self,
+        request_func: Callable[P, httpx.Response],
+        request_context: str | None = None,
+        *args: P.args,
+        **kwargs: P.kwargs,
+    ) -> httpx.Response:
+        """Retry a request with exponential backoff.
+
+        Args:
+            request_func: Function that performs the HTTP request
+            request_context: Context description for logging (e.g., "GET /v1/messages")
+            *args: Positional arguments to pass to request_func
+            **kwargs: Keyword arguments to pass to request_func
+
+        Returns:
+            httpx.Response: Successful response
+
+        Raises:
+            NetworkError: On network failures after retries
+            TimeoutError: On timeout failures after retries
+            APIError: On API errors (4xx/5xx responses)
+            DifyClientError: On unexpected failures
+        """
+        last_exception = None
+
+        for attempt in range(self.max_retries + 1):
+            try:
+                response = request_func(*args, **kwargs)
+                return response  # Let caller handle response processing
+
+            except (httpx.NetworkError, httpx.TimeoutException) as e:
+                last_exception = e
+                context_msg = f" {request_context}" if request_context else ""
+
+                if attempt < self.max_retries:
+                    delay = self.retry_delay * (2**attempt)  # Exponential backoff
+                    self.logger.warning(
+                        f"Request failed{context_msg} (attempt {attempt + 1}/{self.max_retries + 1}): {e}. "
+                        f"Retrying in {delay:.2f} seconds..."
+                    )
+                    time.sleep(delay)
+                else:
+                    self.logger.error(f"Request failed{context_msg} after {self.max_retries + 1} attempts: {e}")
+                    # Convert to custom exceptions
+                    if isinstance(e, httpx.TimeoutException):
+                        from .exceptions import TimeoutError
+
+                        raise TimeoutError(f"Request timed out after {self.max_retries} retries{context_msg}") from e
+                    else:
+                        from .exceptions import NetworkError
+
+                        raise NetworkError(
+                            f"Network error after {self.max_retries} retries{context_msg}: {str(e)}"
+                        ) from e
+
+        if last_exception:
+            raise last_exception
+        raise DifyClientError("Request failed after retries")
+
+    def _validate_params(self, **params) -> None:
+        """Validate request parameters."""
+        for key, value in params.items():
+            if value is None:
+                continue
+
+            # String validations
+            if isinstance(value, str):
+                if not value.strip():
+                    raise ValidationError(f"Parameter '{key}' cannot be empty or whitespace only")
+                if len(value) > 10000:
+                    raise ValidationError(f"Parameter '{key}' exceeds maximum length of 10000 characters")
+
+            # List validations
+            elif isinstance(value, list):
+                if len(value) > 1000:
+                    raise ValidationError(f"Parameter '{key}' exceeds maximum size of 1000 items")
+
+            # Dictionary validations
+            elif isinstance(value, dict):
+                if len(value) > 100:
+                    raise ValidationError(f"Parameter '{key}' exceeds maximum size of 100 items")
+
+            # Type-specific validations
+            if key == "user" and not isinstance(value, str):
+                raise ValidationError(f"Parameter '{key}' must be a string")
+            elif key in ["page", "limit", "page_size"] and not isinstance(value, int):
+                raise ValidationError(f"Parameter '{key}' must be an integer")
+            elif key == "files" and not isinstance(value, (list, dict)):
+                raise ValidationError(f"Parameter '{key}' must be a list or dict")
+            elif key == "rating" and value not in ["like", "dislike"]:
+                raise ValidationError(f"Parameter '{key}' must be 'like' or 'dislike'")
+
+    def _log_request(self, method: str, url: str, **kwargs) -> None:
+        """Log request details."""
+        self.logger.info(f"Making {method} request to {url}")
+        if kwargs.get("json"):
+            self.logger.debug(f"Request body: {kwargs['json']}")
+        if kwargs.get("params"):
+            self.logger.debug(f"Query params: {kwargs['params']}")
+
+    def _log_response(self, response: httpx.Response) -> None:
+        """Log response details."""
+        self.logger.info(f"Received response: {response.status_code} ({len(response.content)} bytes)")

sdks/python-client/dify_client/client.py

@@ -1,11 +1,20 @@
 import json
+import logging
 import os
-from typing import Literal, Dict, List, Any, IO
+from typing import Literal, Dict, List, Any, IO, Optional, Union
 
 import httpx
+from .base_client import BaseClientMixin
+from .exceptions import (
+    APIError,
+    AuthenticationError,
+    RateLimitError,
+    ValidationError,
+    FileUploadError,
+)
 
 
-class DifyClient:
+class DifyClient(BaseClientMixin):
     """Synchronous Dify API client.
 
     This client uses httpx.Client for efficient connection pooling and resource management.
@@ -21,6 +30,9 @@ class DifyClient:
         api_key: str,
         base_url: str = "https://api.dify.ai/v1",
         timeout: float = 60.0,
+        max_retries: int = 3,
+        retry_delay: float = 1.0,
+        enable_logging: bool = False,
     ):
         """Initialize the Dify client.
 
@@ -28,9 +40,13 @@ class DifyClient:
             api_key: Your Dify API key
             base_url: Base URL for the Dify API
             timeout: Request timeout in seconds (default: 60.0)
+            max_retries: Maximum number of retry attempts (default: 3)
+            retry_delay: Delay between retries in seconds (default: 1.0)
+            enable_logging: Whether to enable request logging (default: True)
         """
-        self.api_key = api_key
+        # Initialize base client functionality
-        self.base_url = base_url
+        BaseClientMixin.__init__(self, api_key, base_url, timeout, max_retries, retry_delay, enable_logging)
+
         self._client = httpx.Client(
             base_url=base_url,
             timeout=httpx.Timeout(timeout, connect=5.0),
@@ -53,12 +69,12 @@ class DifyClient:
         self,
         method: str,
         endpoint: str,
-        json: dict | None = None,
+        json: Dict[str, Any] | None = None,
-        params: dict | None = None,
+        params: Dict[str, Any] | None = None,
         stream: bool = False,
         **kwargs,
     ):
-        """Send an HTTP request to the Dify API.
+        """Send an HTTP request to the Dify API with retry logic.
 
         Args:
             method: HTTP method (GET, POST, PUT, PATCH, DELETE)
@@ -71,23 +87,91 @@ class DifyClient:
         Returns:
             httpx.Response object
         """
+        # Validate parameters
+        if json:
+            self._validate_params(**json)
+        if params:
+            self._validate_params(**params)
+
         headers = {
             "Authorization": f"Bearer {self.api_key}",
             "Content-Type": "application/json",
         }
 
-        # httpx.Client automatically prepends base_url
+        def make_request():
-        response = self._client.request(
+            """Inner function to perform the actual HTTP request."""
-            method,
+            # Log request if logging is enabled
-            endpoint,
+            if self.enable_logging:
-            json=json,
+                self.logger.info(f"Sending {method} request to {endpoint}")
-            params=params,
+                # Debug logging for detailed information
-            headers=headers,
+                if self.logger.isEnabledFor(logging.DEBUG):
-            **kwargs,
+                    if json:
-        )
+                        self.logger.debug(f"Request body: {json}")
+                    if params:
+                        self.logger.debug(f"Request params: {params}")
+
+            # httpx.Client automatically prepends base_url
+            response = self._client.request(
+                method,
+                endpoint,
+                json=json,
+                params=params,
+                headers=headers,
+                **kwargs,
+            )
+
+            # Log response if logging is enabled
+            if self.enable_logging:
+                self.logger.info(f"Received response: {response.status_code}")
+
+            return response
+
+        # Use the retry mechanism from base client
+        request_context = f"{method} {endpoint}"
+        response = self._retry_request(make_request, request_context)
+
+        # Handle error responses (API errors don't retry)
+        self._handle_error_response(response)
 
         return response
 
+    def _handle_error_response(self, response, is_upload_request: bool = False) -> None:
+        """Handle HTTP error responses and raise appropriate exceptions."""
+
+        if response.status_code < 400:
+            return  # Success response
+
+        try:
+            error_data = response.json()
+            message = error_data.get("message", f"HTTP {response.status_code}")
+        except (ValueError, KeyError):
+            message = f"HTTP {response.status_code}"
+            error_data = None
+
+        # Log error response if logging is enabled
+        if self.enable_logging:
+            self.logger.error(f"API error: {response.status_code} - {message}")
+
+        if response.status_code == 401:
+            raise AuthenticationError(message, response.status_code, error_data)
+        elif response.status_code == 429:
+            retry_after = response.headers.get("Retry-After")
+            raise RateLimitError(message, retry_after)
+        elif response.status_code == 422:
+            raise ValidationError(message, response.status_code, error_data)
+        elif response.status_code == 400:
+            # Check if this is a file upload error based on the URL or context
+            current_url = getattr(response, "url", "") or ""
+            if is_upload_request or "upload" in str(current_url).lower() or "files" in str(current_url).lower():
+                raise FileUploadError(message, response.status_code, error_data)
+            else:
+                raise APIError(message, response.status_code, error_data)
+        elif response.status_code >= 500:
+            # Server errors should raise APIError
+            raise APIError(message, response.status_code, error_data)
+        elif response.status_code >= 400:
+            raise APIError(message, response.status_code, error_data)
+
     def _send_request_with_files(self, method: str, endpoint: str, data: dict, files: dict):
         """Send an HTTP request with file uploads.
 
@@ -102,6 +186,12 @@ class DifyClient:
         """
         headers = {"Authorization": f"Bearer {self.api_key}"}
 
+        # Log file upload request if logging is enabled
+        if self.enable_logging:
+            self.logger.info(f"Sending {method} file upload request to {endpoint}")
+            self.logger.debug(f"Form data: {data}")
+            self.logger.debug(f"Files: {files}")
+
         response = self._client.request(
             method,
             endpoint,
@@ -110,9 +200,17 @@ class DifyClient:
             files=files,
         )
 
+        # Log response if logging is enabled
+        if self.enable_logging:
+            self.logger.info(f"Received file upload response: {response.status_code}")
+
+        # Handle error responses
+        self._handle_error_response(response, is_upload_request=True)
+
         return response
 
     def message_feedback(self, message_id: str, rating: Literal["like", "dislike"], user: str):
+        self._validate_params(message_id=message_id, rating=rating, user=user)
         data = {"rating": rating, "user": user}
         return self._send_request("POST", f"/messages/{message_id}/feedbacks", data)
 
@@ -144,6 +242,72 @@ class DifyClient:
         """Get file preview by file ID."""
         return self._send_request("GET", f"/files/{file_id}/preview")
 
+    # App Configuration APIs
+    def get_app_site_config(self, app_id: str):
+        """Get app site configuration.
+
+        Args:
+            app_id: ID of the app
+
+        Returns:
+            App site configuration
+        """
+        url = f"/apps/{app_id}/site/config"
+        return self._send_request("GET", url)
+
+    def update_app_site_config(self, app_id: str, config_data: Dict[str, Any]):
+        """Update app site configuration.
+
+        Args:
+            app_id: ID of the app
+            config_data: Configuration data to update
+
+        Returns:
+            Updated app site configuration
+        """
+        url = f"/apps/{app_id}/site/config"
+        return self._send_request("PUT", url, json=config_data)
+
+    def get_app_api_tokens(self, app_id: str):
+        """Get API tokens for an app.
+
+        Args:
+            app_id: ID of the app
+
+        Returns:
+            List of API tokens
+        """
+        url = f"/apps/{app_id}/api-tokens"
+        return self._send_request("GET", url)
+
+    def create_app_api_token(self, app_id: str, name: str, description: str | None = None):
+        """Create a new API token for an app.
+
+        Args:
+            app_id: ID of the app
+            name: Name for the API token
+            description: Description for the API token (optional)
+
+        Returns:
+            Created API token information
+        """
+        data = {"name": name, "description": description}
+        url = f"/apps/{app_id}/api-tokens"
+        return self._send_request("POST", url, json=data)
+
+    def delete_app_api_token(self, app_id: str, token_id: str):
+        """Delete an API token.
+
+        Args:
+            app_id: ID of the app
+            token_id: ID of the token to delete
+
+        Returns:
+            Deletion result
+        """
+        url = f"/apps/{app_id}/api-tokens/{token_id}"
+        return self._send_request("DELETE", url)
+
 
 class CompletionClient(DifyClient):
     def create_completion_message(
@@ -151,8 +315,16 @@ class CompletionClient(DifyClient):
         inputs: dict,
         response_mode: Literal["blocking", "streaming"],
         user: str,
-        files: dict | None = None,
+        files: Dict[str, Any] | None = None,
     ):
+        # Validate parameters
+        if not isinstance(inputs, dict):
+            raise ValidationError("inputs must be a dictionary")
+        if response_mode not in ["blocking", "streaming"]:
+            raise ValidationError("response_mode must be 'blocking' or 'streaming'")
+
+        self._validate_params(inputs=inputs, response_mode=response_mode, user=user)
+
         data = {
             "inputs": inputs,
             "response_mode": response_mode,
@@ -175,8 +347,18 @@ class ChatClient(DifyClient):
         user: str,
         response_mode: Literal["blocking", "streaming"] = "blocking",
         conversation_id: str | None = None,
-        files: dict | None = None,
+        files: Dict[str, Any] | None = None,
     ):
+        # Validate parameters
+        if not isinstance(inputs, dict):
+            raise ValidationError("inputs must be a dictionary")
+        if not isinstance(query, str) or not query.strip():
+            raise ValidationError("query must be a non-empty string")
+        if response_mode not in ["blocking", "streaming"]:
+            raise ValidationError("response_mode must be 'blocking' or 'streaming'")
+
+        self._validate_params(inputs=inputs, query=query, user=user, response_mode=response_mode)
+
         data = {
             "inputs": inputs,
             "query": query,
@@ -238,7 +420,7 @@ class ChatClient(DifyClient):
         data = {"user": user}
         return self._send_request("DELETE", f"/conversations/{conversation_id}", data)
 
-    def audio_to_text(self, audio_file: IO[bytes] | tuple, user: str):
+    def audio_to_text(self, audio_file: Union[IO[bytes], tuple], user: str):
         data = {"user": user}
         files = {"file": audio_file}
         return self._send_request_with_files("POST", "/audio-to-text", data, files)
@@ -313,7 +495,48 @@ class ChatClient(DifyClient):
         """
         data = {"value": value, "user": user}
         url = f"/conversations/{conversation_id}/variables/{variable_id}"
-        return self._send_request("PATCH", url, json=data)
+        return self._send_request("PUT", url, json=data)
+
+    def delete_annotation_with_response(self, annotation_id: str):
+        """Delete an annotation with full response handling."""
+        url = f"/apps/annotations/{annotation_id}"
+        return self._send_request("DELETE", url)
+
+    def list_conversation_variables_with_pagination(
+        self, conversation_id: str, user: str, page: int = 1, limit: int = 20
+    ):
+        """List conversation variables with pagination."""
+        params = {"page": page, "limit": limit, "user": user}
+        url = f"/conversations/{conversation_id}/variables"
+        return self._send_request("GET", url, params=params)
+
+    def update_conversation_variable_with_response(self, conversation_id: str, variable_id: str, user: str, value: Any):
+        """Update a conversation variable with full response handling."""
+        data = {"value": value, "user": user}
+        url = f"/conversations/{conversation_id}/variables/{variable_id}"
+        return self._send_request("PUT", url, json=data)
+
+    # Enhanced Annotation APIs
+    def get_annotation_reply_job_status(self, action: str, job_id: str):
+        """Get status of an annotation reply action job."""
+        url = f"/apps/annotation-reply/{action}/status/{job_id}"
+        return self._send_request("GET", url)
+
+    def list_annotations_with_pagination(self, page: int = 1, limit: int = 20, keyword: str | None = None):
+        """List annotations with pagination."""
+        params = {"page": page, "limit": limit, "keyword": keyword}
+        return self._send_request("GET", "/apps/annotations", params=params)
+
+    def create_annotation_with_response(self, question: str, answer: str):
+        """Create an annotation with full response handling."""
+        data = {"question": question, "answer": answer}
+        return self._send_request("POST", "/apps/annotations", json=data)
+
+    def update_annotation_with_response(self, annotation_id: str, question: str, answer: str):
+        """Update an annotation with full response handling."""
+        data = {"question": question, "answer": answer}
+        url = f"/apps/annotations/{annotation_id}"
+        return self._send_request("PUT", url, json=data)
 
 
 class WorkflowClient(DifyClient):
@@ -376,6 +599,68 @@ class WorkflowClient(DifyClient):
             stream=(response_mode == "streaming"),
         )
 
+    # Enhanced Workflow APIs
+    def get_workflow_draft(self, app_id: str):
+        """Get workflow draft configuration.
+
+        Args:
+            app_id: ID of the workflow app
+
+        Returns:
+            Workflow draft configuration
+        """
+        url = f"/apps/{app_id}/workflow/draft"
+        return self._send_request("GET", url)
+
+    def update_workflow_draft(self, app_id: str, workflow_data: Dict[str, Any]):
+        """Update workflow draft configuration.
+
+        Args:
+            app_id: ID of the workflow app
+            workflow_data: Workflow configuration data
+
+        Returns:
+            Updated workflow draft
+        """
+        url = f"/apps/{app_id}/workflow/draft"
+        return self._send_request("PUT", url, json=workflow_data)
+
+    def publish_workflow(self, app_id: str):
+        """Publish workflow from draft.
+
+        Args:
+            app_id: ID of the workflow app
+
+        Returns:
+            Published workflow information
+        """
+        url = f"/apps/{app_id}/workflow/publish"
+        return self._send_request("POST", url)
+
+    def get_workflow_run_history(
+        self,
+        app_id: str,
+        page: int = 1,
+        limit: int = 20,
+        status: Literal["succeeded", "failed", "stopped"] | None = None,
+    ):
+        """Get workflow run history.
+
+        Args:
+            app_id: ID of the workflow app
+            page: Page number (default: 1)
+            limit: Number of items per page (default: 20)
+            status: Filter by status (optional)
+
+        Returns:
+            Paginated workflow run history
+        """
+        params = {"page": page, "limit": limit}
+        if status:
+            params["status"] = status
+        url = f"/apps/{app_id}/workflow/runs"
+        return self._send_request("GET", url, params=params)
+
 
 class WorkspaceClient(DifyClient):
     """Client for workspace-related operations."""
@@ -385,6 +670,41 @@ class WorkspaceClient(DifyClient):
         url = f"/workspaces/current/models/model-types/{model_type}"
         return self._send_request("GET", url)
 
+    def get_available_models_by_type(self, model_type: str):
+        """Get available models by model type (enhanced version)."""
+        url = f"/workspaces/current/models/model-types/{model_type}"
+        return self._send_request("GET", url)
+
+    def get_model_providers(self):
+        """Get all model providers."""
+        return self._send_request("GET", "/workspaces/current/model-providers")
+
+    def get_model_provider_models(self, provider_name: str):
+        """Get models for a specific provider."""
+        url = f"/workspaces/current/model-providers/{provider_name}/models"
+        return self._send_request("GET", url)
+
+    def validate_model_provider_credentials(self, provider_name: str, credentials: Dict[str, Any]):
+        """Validate model provider credentials."""
+        url = f"/workspaces/current/model-providers/{provider_name}/credentials/validate"
+        return self._send_request("POST", url, json=credentials)
+
+    # File Management APIs
+    def get_file_info(self, file_id: str):
+        """Get information about a specific file."""
+        url = f"/files/{file_id}/info"
+        return self._send_request("GET", url)
+
+    def get_file_download_url(self, file_id: str):
+        """Get download URL for a file."""
+        url = f"/files/{file_id}/download-url"
+        return self._send_request("GET", url)
+
+    def delete_file(self, file_id: str):
+        """Delete a file."""
+        url = f"/files/{file_id}"
+        return self._send_request("DELETE", url)
+
 
 class KnowledgeBaseClient(DifyClient):
     def __init__(
@@ -416,7 +736,7 @@ class KnowledgeBaseClient(DifyClient):
     def list_datasets(self, page: int = 1, page_size: int = 20, **kwargs):
         return self._send_request("GET", "/datasets", params={"page": page, "limit": page_size}, **kwargs)
 
-    def create_document_by_text(self, name, text, extra_params: dict | None = None, **kwargs):
+    def create_document_by_text(self, name, text, extra_params: Dict[str, Any] | None = None, **kwargs):
         """
         Create a document by text.
 
@@ -458,7 +778,7 @@ class KnowledgeBaseClient(DifyClient):
         document_id: str,
         name: str,
         text: str,
-        extra_params: dict | None = None,
+        extra_params: Dict[str, Any] | None = None,
         **kwargs,
     ):
         """
@@ -497,7 +817,7 @@ class KnowledgeBaseClient(DifyClient):
         self,
         file_path: str,
         original_document_id: str | None = None,
-        extra_params: dict | None = None,
+        extra_params: Dict[str, Any] | None = None,
     ):
         """
         Create a document by file.
@@ -537,7 +857,12 @@ class KnowledgeBaseClient(DifyClient):
             url = f"/datasets/{self._get_dataset_id()}/document/create_by_file"
             return self._send_request_with_files("POST", url, {"data": json.dumps(data)}, files)
 
-    def update_document_by_file(self, document_id: str, file_path: str, extra_params: dict | None = None):
+    def update_document_by_file(
+        self,
+        document_id: str,
+        file_path: str,
+        extra_params: Dict[str, Any] | None = None,
+    ):
         """
         Update a document by file.
 
@@ -893,3 +1218,50 @@ class KnowledgeBaseClient(DifyClient):
         url = f"/datasets/{ds_id}/documents/status/{action}"
         data = {"document_ids": document_ids}
         return self._send_request("PATCH", url, json=data)
+
+    # Enhanced Dataset APIs
+    def create_dataset_from_template(self, template_name: str, name: str, description: str | None = None):
+        """Create a dataset from a predefined template.
+
+        Args:
+            template_name: Name of the template to use
+            name: Name for the new dataset
+            description: Description for the dataset (optional)
+
+        Returns:
+            Created dataset information
+        """
+        data = {
+            "template_name": template_name,
+            "name": name,
+            "description": description,
+        }
+        return self._send_request("POST", "/datasets/from-template", json=data)
+
+    def duplicate_dataset(self, dataset_id: str, name: str):
+        """Duplicate an existing dataset.
+
+        Args:
+            dataset_id: ID of dataset to duplicate
+            name: Name for duplicated dataset
+
+        Returns:
+            New dataset information
+        """
+        data = {"name": name}
+        url = f"/datasets/{dataset_id}/duplicate"
+        return self._send_request("POST", url, json=data)
+
+    def list_conversation_variables_with_pagination(
+        self, conversation_id: str, user: str, page: int = 1, limit: int = 20
+    ):
+        """List conversation variables with pagination."""
+        params = {"page": page, "limit": limit, "user": user}
+        url = f"/conversations/{conversation_id}/variables"
+        return self._send_request("GET", url, params=params)
+
+    def update_conversation_variable_with_response(self, conversation_id: str, variable_id: str, user: str, value: Any):
+        """Update a conversation variable with full response handling."""
+        data = {"value": value, "user": user}
+        url = f"/conversations/{conversation_id}/variables/{variable_id}"
+        return self._send_request("PUT", url, json=data)

sdks/python-client/dify_client/exceptions.py

@@ -0,0 +1,71 @@
+"""Custom exceptions for the Dify client."""
+
+from typing import Optional, Dict, Any
+
+
+class DifyClientError(Exception):
+    """Base exception for all Dify client errors."""
+
+    def __init__(self, message: str, status_code: int | None = None, response: Dict[str, Any] | None = None):
+        super().__init__(message)
+        self.message = message
+        self.status_code = status_code
+        self.response = response
+
+
+class APIError(DifyClientError):
+    """Raised when the API returns an error response."""
+
+    def __init__(self, message: str, status_code: int, response: Dict[str, Any] | None = None):
+        super().__init__(message, status_code, response)
+        self.status_code = status_code
+
+
+class AuthenticationError(DifyClientError):
+    """Raised when authentication fails."""
+
+    pass
+
+
+class RateLimitError(DifyClientError):
+    """Raised when rate limit is exceeded."""
+
+    def __init__(self, message: str = "Rate limit exceeded", retry_after: int | None = None):
+        super().__init__(message)
+        self.retry_after = retry_after
+
+
+class ValidationError(DifyClientError):
+    """Raised when request validation fails."""
+
+    pass
+
+
+class NetworkError(DifyClientError):
+    """Raised when network-related errors occur."""
+
+    pass
+
+
+class TimeoutError(DifyClientError):
+    """Raised when request times out."""
+
+    pass
+
+
+class FileUploadError(DifyClientError):
+    """Raised when file upload fails."""
+
+    pass
+
+
+class DatasetError(DifyClientError):
+    """Raised when dataset operations fail."""
+
+    pass
+
+
+class WorkflowError(DifyClientError):
+    """Raised when workflow operations fail."""
+
+    pass

sdks/python-client/dify_client/models.py

@@ -0,0 +1,396 @@
+"""Response models for the Dify client with proper type hints."""
+
+from typing import Optional, List, Dict, Any, Literal, Union
+from dataclasses import dataclass, field
+from datetime import datetime
+
+
+@dataclass
+class BaseResponse:
+    """Base response model."""
+
+    success: bool = True
+    message: str | None = None
+
+
+@dataclass
+class ErrorResponse(BaseResponse):
+    """Error response model."""
+
+    error_code: str | None = None
+    details: Dict[str, Any] | None = None
+    success: bool = False
+
+
+@dataclass
+class FileInfo:
+    """File information model."""
+
+    id: str
+    name: str
+    size: int
+    mime_type: str
+    url: str | None = None
+    created_at: datetime | None = None
+
+
+@dataclass
+class MessageResponse(BaseResponse):
+    """Message response model."""
+
+    id: str = ""
+    answer: str = ""
+    conversation_id: str | None = None
+    created_at: int | None = None
+    metadata: Dict[str, Any] | None = None
+    files: List[Dict[str, Any]] | None = None
+
+
+@dataclass
+class ConversationResponse(BaseResponse):
+    """Conversation response model."""
+
+    id: str = ""
+    name: str = ""
+    inputs: Dict[str, Any] | None = None
+    status: str | None = None
+    created_at: int | None = None
+    updated_at: int | None = None
+
+
+@dataclass
+class DatasetResponse(BaseResponse):
+    """Dataset response model."""
+
+    id: str = ""
+    name: str = ""
+    description: str | None = None
+    permission: str | None = None
+    indexing_technique: str | None = None
+    embedding_model: str | None = None
+    embedding_model_provider: str | None = None
+    retrieval_model: Dict[str, Any] | None = None
+    document_count: int | None = None
+    word_count: int | None = None
+    app_count: int | None = None
+    created_at: int | None = None
+    updated_at: int | None = None
+
+
+@dataclass
+class DocumentResponse(BaseResponse):
+    """Document response model."""
+
+    id: str = ""
+    name: str = ""
+    data_source_type: str | None = None
+    data_source_info: Dict[str, Any] | None = None
+    dataset_process_rule_id: str | None = None
+    batch: str | None = None
+    position: int | None = None
+    enabled: bool | None = None
+    disabled_at: float | None = None
+    disabled_by: str | None = None
+    archived: bool | None = None
+    archived_reason: str | None = None
+    archived_at: float | None = None
+    archived_by: str | None = None
+    word_count: int | None = None
+    hit_count: int | None = None
+    doc_form: str | None = None
+    doc_metadata: Dict[str, Any] | None = None
+    created_at: float | None = None
+    updated_at: float | None = None
+    indexing_status: str | None = None
+    completed_at: float | None = None
+    paused_at: float | None = None
+    error: str | None = None
+    stopped_at: float | None = None
+
+
+@dataclass
+class DocumentSegmentResponse(BaseResponse):
+    """Document segment response model."""
+
+    id: str = ""
+    position: int | None = None
+    document_id: str | None = None
+    content: str | None = None
+    answer: str | None = None
+    word_count: int | None = None
+    tokens: int | None = None
+    keywords: List[str] | None = None
+    index_node_id: str | None = None
+    index_node_hash: str | None = None
+    hit_count: int | None = None
+    enabled: bool | None = None
+    disabled_at: float | None = None
+    disabled_by: str | None = None
+    status: str | None = None
+    created_by: str | None = None
+    created_at: float | None = None
+    indexing_at: float | None = None
+    completed_at: float | None = None
+    error: str | None = None
+    stopped_at: float | None = None
+
+
+@dataclass
+class WorkflowRunResponse(BaseResponse):
+    """Workflow run response model."""
+
+    id: str = ""
+    workflow_id: str | None = None
+    status: Literal["running", "succeeded", "failed", "stopped"] | None = None
+    inputs: Dict[str, Any] | None = None
+    outputs: Dict[str, Any] | None = None
+    error: str | None = None
+    elapsed_time: float | None = None
+    total_tokens: int | None = None
+    total_steps: int | None = None
+    created_at: float | None = None
+    finished_at: float | None = None
+
+
+@dataclass
+class ApplicationParametersResponse(BaseResponse):
+    """Application parameters response model."""
+
+    opening_statement: str | None = None
+    suggested_questions: List[str] | None = None
+    speech_to_text: Dict[str, Any] | None = None
+    text_to_speech: Dict[str, Any] | None = None
+    retriever_resource: Dict[str, Any] | None = None
+    sensitive_word_avoidance: Dict[str, Any] | None = None
+    file_upload: Dict[str, Any] | None = None
+    system_parameters: Dict[str, Any] | None = None
+    user_input_form: List[Dict[str, Any]] | None = None
+
+
+@dataclass
+class AnnotationResponse(BaseResponse):
+    """Annotation response model."""
+
+    id: str = ""
+    question: str = ""
+    answer: str = ""
+    content: str | None = None
+    created_at: float | None = None
+    updated_at: float | None = None
+    created_by: str | None = None
+    updated_by: str | None = None
+    hit_count: int | None = None
+
+
+@dataclass
+class PaginatedResponse(BaseResponse):
+    """Paginated response model."""
+
+    data: List[Any] = field(default_factory=list)
+    has_more: bool = False
+    limit: int = 0
+    total: int = 0
+    page: int | None = None
+
+
+@dataclass
+class ConversationVariableResponse(BaseResponse):
+    """Conversation variable response model."""
+
+    conversation_id: str = ""
+    variables: List[Dict[str, Any]] = field(default_factory=list)
+
+
+@dataclass
+class FileUploadResponse(BaseResponse):
+    """File upload response model."""
+
+    id: str = ""
+    name: str = ""
+    size: int = 0
+    mime_type: str = ""
+    url: str | None = None
+    created_at: float | None = None
+
+
+@dataclass
+class AudioResponse(BaseResponse):
+    """Audio generation/response model."""
+
+    audio: str | None = None  # Base64 encoded audio data or URL
+    audio_url: str | None = None
+    duration: float | None = None
+    sample_rate: int | None = None
+
+
+@dataclass
+class SuggestedQuestionsResponse(BaseResponse):
+    """Suggested questions response model."""
+
+    message_id: str = ""
+    questions: List[str] = field(default_factory=list)
+
+
+@dataclass
+class AppInfoResponse(BaseResponse):
+    """App info response model."""
+
+    id: str = ""
+    name: str = ""
+    description: str | None = None
+    icon: str | None = None
+    icon_background: str | None = None
+    mode: str | None = None
+    tags: List[str] | None = None
+    enable_site: bool | None = None
+    enable_api: bool | None = None
+    api_token: str | None = None
+
+
+@dataclass
+class WorkspaceModelsResponse(BaseResponse):
+    """Workspace models response model."""
+
+    models: List[Dict[str, Any]] = field(default_factory=list)
+
+
+@dataclass
+class HitTestingResponse(BaseResponse):
+    """Hit testing response model."""
+
+    query: str = ""
+    records: List[Dict[str, Any]] = field(default_factory=list)
+
+
+@dataclass
+class DatasetTagsResponse(BaseResponse):
+    """Dataset tags response model."""
+
+    tags: List[Dict[str, Any]] = field(default_factory=list)
+
+
+@dataclass
+class WorkflowLogsResponse(BaseResponse):
+    """Workflow logs response model."""
+
+    logs: List[Dict[str, Any]] = field(default_factory=list)
+    total: int = 0
+    page: int = 0
+    limit: int = 0
+    has_more: bool = False
+
+
+@dataclass
+class ModelProviderResponse(BaseResponse):
+    """Model provider response model."""
+
+    provider_name: str = ""
+    provider_type: str = ""
+    models: List[Dict[str, Any]] = field(default_factory=list)
+    is_enabled: bool = False
+    credentials: Dict[str, Any] | None = None
+
+
+@dataclass
+class FileInfoResponse(BaseResponse):
+    """File info response model."""
+
+    id: str = ""
+    name: str = ""
+    size: int = 0
+    mime_type: str = ""
+    url: str | None = None
+    created_at: int | None = None
+    metadata: Dict[str, Any] | None = None
+
+
+@dataclass
+class WorkflowDraftResponse(BaseResponse):
+    """Workflow draft response model."""
+
+    id: str = ""
+    app_id: str = ""
+    draft_data: Dict[str, Any] = field(default_factory=dict)
+    version: int = 0
+    created_at: int | None = None
+    updated_at: int | None = None
+
+
+@dataclass
+class ApiTokenResponse(BaseResponse):
+    """API token response model."""
+
+    id: str = ""
+    name: str = ""
+    token: str = ""
+    description: str | None = None
+    created_at: int | None = None
+    last_used_at: int | None = None
+    is_active: bool = True
+
+
+@dataclass
+class JobStatusResponse(BaseResponse):
+    """Job status response model."""
+
+    job_id: str = ""
+    job_status: str = ""
+    error_msg: str | None = None
+    progress: float | None = None
+    created_at: int | None = None
+    updated_at: int | None = None
+
+
+@dataclass
+class DatasetQueryResponse(BaseResponse):
+    """Dataset query response model."""
+
+    query: str = ""
+    records: List[Dict[str, Any]] = field(default_factory=list)
+    total: int = 0
+    search_time: float | None = None
+    retrieval_model: Dict[str, Any] | None = None
+
+
+@dataclass
+class DatasetTemplateResponse(BaseResponse):
+    """Dataset template response model."""
+
+    template_name: str = ""
+    display_name: str = ""
+    description: str = ""
+    category: str = ""
+    icon: str | None = None
+    config_schema: Dict[str, Any] = field(default_factory=dict)
+
+
+# Type aliases for common response types
+ResponseType = Union[
+    BaseResponse,
+    ErrorResponse,
+    MessageResponse,
+    ConversationResponse,
+    DatasetResponse,
+    DocumentResponse,
+    DocumentSegmentResponse,
+    WorkflowRunResponse,
+    ApplicationParametersResponse,
+    AnnotationResponse,
+    PaginatedResponse,
+    ConversationVariableResponse,
+    FileUploadResponse,
+    AudioResponse,
+    SuggestedQuestionsResponse,
+    AppInfoResponse,
+    WorkspaceModelsResponse,
+    HitTestingResponse,
+    DatasetTagsResponse,
+    WorkflowLogsResponse,
+    ModelProviderResponse,
+    FileInfoResponse,
+    WorkflowDraftResponse,
+    ApiTokenResponse,
+    JobStatusResponse,
+    DatasetQueryResponse,
+    DatasetTemplateResponse,
+]

sdks/python-client/examples/advanced_usage.py

@@ -0,0 +1,264 @@
+"""
+Advanced usage examples for the Dify Python SDK.
+
+This example demonstrates:
+- Error handling and retries
+- Logging configuration
+- Context managers
+- Async usage
+- File uploads
+- Dataset management
+"""
+
+import asyncio
+import logging
+from pathlib import Path
+
+from dify_client import (
+    ChatClient,
+    CompletionClient,
+    AsyncChatClient,
+    KnowledgeBaseClient,
+    DifyClient,
+)
+from dify_client.exceptions import (
+    APIError,
+    RateLimitError,
+    AuthenticationError,
+    DifyClientError,
+)
+
+
+def setup_logging():
+    """Setup logging for the SDK."""
+    logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
+
+
+def example_chat_with_error_handling():
+    """Example of chat with comprehensive error handling."""
+    api_key = "your-api-key-here"
+
+    try:
+        with ChatClient(api_key, enable_logging=True) as client:
+            # Simple chat message
+            response = client.create_chat_message(
+                inputs={}, query="Hello, how are you?", user="user-123", response_mode="blocking"
+            )
+
+            result = response.json()
+            print(f"Response: {result.get('answer')}")
+
+    except AuthenticationError as e:
+        print(f"Authentication failed: {e}")
+        print("Please check your API key")
+
+    except RateLimitError as e:
+        print(f"Rate limit exceeded: {e}")
+        if e.retry_after:
+            print(f"Retry after {e.retry_after} seconds")
+
+    except APIError as e:
+        print(f"API error: {e.message}")
+        print(f"Status code: {e.status_code}")
+
+    except DifyClientError as e:
+        print(f"Dify client error: {e}")
+
+    except Exception as e:
+        print(f"Unexpected error: {e}")
+
+
+def example_completion_with_files():
+    """Example of completion with file upload."""
+    api_key = "your-api-key-here"
+
+    with CompletionClient(api_key) as client:
+        # Upload an image file first
+        file_path = "path/to/your/image.jpg"
+
+        try:
+            with open(file_path, "rb") as f:
+                files = {"file": (Path(file_path).name, f, "image/jpeg")}
+                upload_response = client.file_upload("user-123", files)
+                upload_response.raise_for_status()
+
+                file_id = upload_response.json().get("id")
+                print(f"File uploaded with ID: {file_id}")
+
+                # Use the uploaded file in completion
+                files_list = [{"type": "image", "transfer_method": "local_file", "upload_file_id": file_id}]
+
+                completion_response = client.create_completion_message(
+                    inputs={"query": "Describe this image"}, response_mode="blocking", user="user-123", files=files_list
+                )
+
+                result = completion_response.json()
+                print(f"Completion result: {result.get('answer')}")
+
+        except FileNotFoundError:
+            print(f"File not found: {file_path}")
+        except Exception as e:
+            print(f"Error during file upload/completion: {e}")
+
+
+def example_dataset_management():
+    """Example of dataset management operations."""
+    api_key = "your-api-key-here"
+
+    with KnowledgeBaseClient(api_key) as kb_client:
+        try:
+            # Create a new dataset
+            create_response = kb_client.create_dataset(name="My Test Dataset")
+            create_response.raise_for_status()
+
+            dataset_id = create_response.json().get("id")
+            print(f"Created dataset with ID: {dataset_id}")
+
+            # Create a client with the dataset ID
+            dataset_client = KnowledgeBaseClient(api_key, dataset_id=dataset_id)
+
+            # Add a document by text
+            doc_response = dataset_client.create_document_by_text(
+                name="Test Document", text="This is a test document for the knowledge base."
+            )
+            doc_response.raise_for_status()
+
+            document_id = doc_response.json().get("document", {}).get("id")
+            print(f"Created document with ID: {document_id}")
+
+            # List documents
+            list_response = dataset_client.list_documents()
+            list_response.raise_for_status()
+
+            documents = list_response.json().get("data", [])
+            print(f"Dataset contains {len(documents)} documents")
+
+            # Update dataset configuration
+            update_response = dataset_client.update_dataset(
+                name="Updated Dataset Name", description="Updated description", indexing_technique="high_quality"
+            )
+            update_response.raise_for_status()
+
+            print("Dataset updated successfully")
+
+        except Exception as e:
+            print(f"Dataset management error: {e}")
+
+
+async def example_async_chat():
+    """Example of async chat usage."""
+    api_key = "your-api-key-here"
+
+    try:
+        async with AsyncChatClient(api_key) as client:
+            # Create chat message
+            response = await client.create_chat_message(
+                inputs={}, query="What's the weather like?", user="user-456", response_mode="blocking"
+            )
+
+            result = response.json()
+            print(f"Async response: {result.get('answer')}")
+
+            # Get conversations
+            conversations = await client.get_conversations("user-456")
+            conversations.raise_for_status()
+
+            conv_data = conversations.json()
+            print(f"Found {len(conv_data.get('data', []))} conversations")
+
+    except Exception as e:
+        print(f"Async chat error: {e}")
+
+
+def example_streaming_response():
+    """Example of handling streaming responses."""
+    api_key = "your-api-key-here"
+
+    with ChatClient(api_key) as client:
+        try:
+            response = client.create_chat_message(
+                inputs={}, query="Tell me a story", user="user-789", response_mode="streaming"
+            )
+
+            print("Streaming response:")
+            for line in response.iter_lines(decode_unicode=True):
+                if line.startswith("data:"):
+                    data = line[5:].strip()
+                    if data:
+                        import json
+
+                        try:
+                            chunk = json.loads(data)
+                            answer = chunk.get("answer", "")
+                            if answer:
+                                print(answer, end="", flush=True)
+                        except json.JSONDecodeError:
+                            continue
+            print()  # New line after streaming
+
+        except Exception as e:
+            print(f"Streaming error: {e}")
+
+
+def example_application_info():
+    """Example of getting application information."""
+    api_key = "your-api-key-here"
+
+    with DifyClient(api_key) as client:
+        try:
+            # Get app info
+            info_response = client.get_app_info()
+            info_response.raise_for_status()
+
+            app_info = info_response.json()
+            print(f"App name: {app_info.get('name')}")
+            print(f"App mode: {app_info.get('mode')}")
+            print(f"App tags: {app_info.get('tags', [])}")
+
+            # Get app parameters
+            params_response = client.get_application_parameters("user-123")
+            params_response.raise_for_status()
+
+            params = params_response.json()
+            print(f"Opening statement: {params.get('opening_statement')}")
+            print(f"Suggested questions: {params.get('suggested_questions', [])}")
+
+        except Exception as e:
+            print(f"App info error: {e}")
+
+
+def main():
+    """Run all examples."""
+    setup_logging()
+
+    print("=== Dify Python SDK Advanced Usage Examples ===\n")
+
+    print("1. Chat with Error Handling:")
+    example_chat_with_error_handling()
+    print()
+
+    print("2. Completion with Files:")
+    example_completion_with_files()
+    print()
+
+    print("3. Dataset Management:")
+    example_dataset_management()
+    print()
+
+    print("4. Async Chat:")
+    asyncio.run(example_async_chat())
+    print()
+
+    print("5. Streaming Response:")
+    example_streaming_response()
+    print()
+
+    print("6. Application Info:")
+    example_application_info()
+    print()
+
+    print("All examples completed!")
+
+
+if __name__ == "__main__":
+    main()

sdks/python-client/pyproject.toml

@@ -5,7 +5,7 @@ description = "A package for interacting with the Dify Service-API"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-    "httpx>=0.27.0",
+    "httpx[http2]>=0.27.0",
     "aiofiles>=23.0.0",
 ]
 authors = [

sdks/python-client/tests/test_client.py

@@ -1,6 +1,7 @@
 import os
 import time
 import unittest
+from unittest.mock import Mock, patch, mock_open
 
 from dify_client.client import (
     ChatClient,
@@ -17,38 +18,46 @@ FILE_PATH_BASE = os.path.dirname(__file__)
 
 class TestKnowledgeBaseClient(unittest.TestCase):
     def setUp(self):
-        self.knowledge_base_client = KnowledgeBaseClient(API_KEY, base_url=API_BASE_URL)
+        self.api_key = "test-api-key"
+        self.base_url = "https://api.dify.ai/v1"
+        self.knowledge_base_client = KnowledgeBaseClient(self.api_key, base_url=self.base_url)
         self.README_FILE_PATH = os.path.abspath(os.path.join(FILE_PATH_BASE, "../README.md"))
-        self.dataset_id = None
+        self.dataset_id = "test-dataset-id"
-        self.document_id = None
+        self.document_id = "test-document-id"
-        self.segment_id = None
+        self.segment_id = "test-segment-id"
-        self.batch_id = None
+        self.batch_id = "test-batch-id"
 
     def _get_dataset_kb_client(self):
-        self.assertIsNotNone(self.dataset_id)
+        return KnowledgeBaseClient(self.api_key, base_url=self.base_url, dataset_id=self.dataset_id)
-        return KnowledgeBaseClient(API_KEY, base_url=API_BASE_URL, dataset_id=self.dataset_id)
+
+    @patch("dify_client.client.httpx.Client")
+    def test_001_create_dataset(self, mock_httpx_client):
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.json.return_value = {"id": self.dataset_id, "name": "test_dataset"}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Re-create client with mocked httpx
+        self.knowledge_base_client = KnowledgeBaseClient(self.api_key, base_url=self.base_url)
 
-    def test_001_create_dataset(self):
         response = self.knowledge_base_client.create_dataset(name="test_dataset")
         data = response.json()
         self.assertIn("id", data)
-        self.dataset_id = data["id"]
         self.assertEqual("test_dataset", data["name"])
 
         # the following tests require to be executed in order because they use
         # the dataset/document/segment ids from the previous test
         self._test_002_list_datasets()
         self._test_003_create_document_by_text()
-        time.sleep(1)
         self._test_004_update_document_by_text()
-        # self._test_005_batch_indexing_status()
-        time.sleep(1)
         self._test_006_update_document_by_file()
-        time.sleep(1)
         self._test_007_list_documents()
         self._test_008_delete_document()
         self._test_009_create_document_by_file()
-        time.sleep(1)
         self._test_010_add_segments()
         self._test_011_query_segments()
         self._test_012_update_document_segment()
@@ -56,6 +65,12 @@ class TestKnowledgeBaseClient(unittest.TestCase):
         self._test_014_delete_dataset()
 
     def _test_002_list_datasets(self):
+        # Mock the response - using the already mocked client from test_001_create_dataset
+        mock_response = Mock()
+        mock_response.json.return_value = {"data": [], "total": 0}
+        mock_response.status_code = 200
+        self.knowledge_base_client._client.request.return_value = mock_response
+
         response = self.knowledge_base_client.list_datasets()
         data = response.json()
         self.assertIn("data", data)
@@ -63,45 +78,62 @@ class TestKnowledgeBaseClient(unittest.TestCase):
 
     def _test_003_create_document_by_text(self):
         client = self._get_dataset_kb_client()
+        # Mock the response
+        mock_response = Mock()
+        mock_response.json.return_value = {"document": {"id": self.document_id}, "batch": self.batch_id}
+        mock_response.status_code = 200
+        client._client.request.return_value = mock_response
+
         response = client.create_document_by_text("test_document", "test_text")
         data = response.json()
         self.assertIn("document", data)
-        self.document_id = data["document"]["id"]
-        self.batch_id = data["batch"]
 
     def _test_004_update_document_by_text(self):
         client = self._get_dataset_kb_client()
-        self.assertIsNotNone(self.document_id)
+        # Mock the response
+        mock_response = Mock()
+        mock_response.json.return_value = {"document": {"id": self.document_id}, "batch": self.batch_id}
+        mock_response.status_code = 200
+        client._client.request.return_value = mock_response
+
         response = client.update_document_by_text(self.document_id, "test_document_updated", "test_text_updated")
         data = response.json()
         self.assertIn("document", data)
         self.assertIn("batch", data)
-        self.batch_id = data["batch"]
-
-    def _test_005_batch_indexing_status(self):
-        client = self._get_dataset_kb_client()
-        response = client.batch_indexing_status(self.batch_id)
-        response.json()
-        self.assertEqual(response.status_code, 200)
 
     def _test_006_update_document_by_file(self):
         client = self._get_dataset_kb_client()
-        self.assertIsNotNone(self.document_id)
+        # Mock the response
+        mock_response = Mock()
+        mock_response.json.return_value = {"document": {"id": self.document_id}, "batch": self.batch_id}
+        mock_response.status_code = 200
+        client._client.request.return_value = mock_response
+
         response = client.update_document_by_file(self.document_id, self.README_FILE_PATH)
         data = response.json()
         self.assertIn("document", data)
         self.assertIn("batch", data)
-        self.batch_id = data["batch"]
 
     def _test_007_list_documents(self):
         client = self._get_dataset_kb_client()
+        # Mock the response
+        mock_response = Mock()
+        mock_response.json.return_value = {"data": []}
+        mock_response.status_code = 200
+        client._client.request.return_value = mock_response
+
         response = client.list_documents()
         data = response.json()
         self.assertIn("data", data)
 
     def _test_008_delete_document(self):
         client = self._get_dataset_kb_client()
-        self.assertIsNotNone(self.document_id)
+        # Mock the response
+        mock_response = Mock()
+        mock_response.json.return_value = {"result": "success"}
+        mock_response.status_code = 200
+        client._client.request.return_value = mock_response
+
         response = client.delete_document(self.document_id)
         data = response.json()
         self.assertIn("result", data)
@@ -109,23 +141,37 @@ class TestKnowledgeBaseClient(unittest.TestCase):
 
     def _test_009_create_document_by_file(self):
         client = self._get_dataset_kb_client()
+        # Mock the response
+        mock_response = Mock()
+        mock_response.json.return_value = {"document": {"id": self.document_id}, "batch": self.batch_id}
+        mock_response.status_code = 200
+        client._client.request.return_value = mock_response
+
         response = client.create_document_by_file(self.README_FILE_PATH)
         data = response.json()
         self.assertIn("document", data)
-        self.document_id = data["document"]["id"]
-        self.batch_id = data["batch"]
 
     def _test_010_add_segments(self):
         client = self._get_dataset_kb_client()
+        # Mock the response
+        mock_response = Mock()
+        mock_response.json.return_value = {"data": [{"id": self.segment_id, "content": "test text segment 1"}]}
+        mock_response.status_code = 200
+        client._client.request.return_value = mock_response
+
         response = client.add_segments(self.document_id, [{"content": "test text segment 1"}])
         data = response.json()
         self.assertIn("data", data)
         self.assertGreater(len(data["data"]), 0)
-        segment = data["data"][0]
-        self.segment_id = segment["id"]
 
     def _test_011_query_segments(self):
         client = self._get_dataset_kb_client()
+        # Mock the response
+        mock_response = Mock()
+        mock_response.json.return_value = {"data": [{"id": self.segment_id, "content": "test text segment 1"}]}
+        mock_response.status_code = 200
+        client._client.request.return_value = mock_response
+
         response = client.query_segments(self.document_id)
         data = response.json()
         self.assertIn("data", data)
@@ -133,7 +179,12 @@ class TestKnowledgeBaseClient(unittest.TestCase):
 
     def _test_012_update_document_segment(self):
         client = self._get_dataset_kb_client()
-        self.assertIsNotNone(self.segment_id)
+        # Mock the response
+        mock_response = Mock()
+        mock_response.json.return_value = {"data": {"id": self.segment_id, "content": "test text segment 1 updated"}}
+        mock_response.status_code = 200
+        client._client.request.return_value = mock_response
+
         response = client.update_document_segment(
             self.document_id,
             self.segment_id,
@@ -141,13 +192,16 @@ class TestKnowledgeBaseClient(unittest.TestCase):
         )
         data = response.json()
         self.assertIn("data", data)
-        self.assertGreater(len(data["data"]), 0)
+        self.assertEqual("test text segment 1 updated", data["data"]["content"])
-        segment = data["data"]
-        self.assertEqual("test text segment 1 updated", segment["content"])
 
     def _test_013_delete_document_segment(self):
         client = self._get_dataset_kb_client()
-        self.assertIsNotNone(self.segment_id)
+        # Mock the response
+        mock_response = Mock()
+        mock_response.json.return_value = {"result": "success"}
+        mock_response.status_code = 200
+        client._client.request.return_value = mock_response
+
         response = client.delete_document_segment(self.document_id, self.segment_id)
         data = response.json()
         self.assertIn("result", data)
@@ -155,94 +209,279 @@ class TestKnowledgeBaseClient(unittest.TestCase):
 
     def _test_014_delete_dataset(self):
         client = self._get_dataset_kb_client()
+        # Mock the response
+        mock_response = Mock()
+        mock_response.status_code = 204
+        client._client.request.return_value = mock_response
+
         response = client.delete_dataset()
         self.assertEqual(204, response.status_code)
 
 
 class TestChatClient(unittest.TestCase):
-    def setUp(self):
+    @patch("dify_client.client.httpx.Client")
-        self.chat_client = ChatClient(API_KEY)
+    def setUp(self, mock_httpx_client):
+        self.api_key = "test-api-key"
+        self.chat_client = ChatClient(self.api_key)
 
-    def test_create_chat_message(self):
+        # Set up default mock response for the client
-        response = self.chat_client.create_chat_message({}, "Hello, World!", "test_user")
+        mock_response = Mock()
+        mock_response.text = '{"answer": "Hello! This is a test response."}'
+        mock_response.json.return_value = {"answer": "Hello! This is a test response."}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+    @patch("dify_client.client.httpx.Client")
+    def test_create_chat_message(self, mock_httpx_client):
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.text = '{"answer": "Hello! This is a test response."}'
+        mock_response.json.return_value = {"answer": "Hello! This is a test response."}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Create client with mocked httpx
+        chat_client = ChatClient(self.api_key)
+        response = chat_client.create_chat_message({}, "Hello, World!", "test_user")
         self.assertIn("answer", response.text)
 
-    def test_create_chat_message_with_vision_model_by_remote_url(self):
+    @patch("dify_client.client.httpx.Client")
-        files = [{"type": "image", "transfer_method": "remote_url", "url": "your_image_url"}]
+    def test_create_chat_message_with_vision_model_by_remote_url(self, mock_httpx_client):
-        response = self.chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files)
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.text = '{"answer": "I can see this is a test image description."}'
+        mock_response.json.return_value = {"answer": "I can see this is a test image description."}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Create client with mocked httpx
+        chat_client = ChatClient(self.api_key)
+        files = [{"type": "image", "transfer_method": "remote_url", "url": "https://example.com/test-image.jpg"}]
+        response = chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files)
         self.assertIn("answer", response.text)
 
-    def test_create_chat_message_with_vision_model_by_local_file(self):
+    @patch("dify_client.client.httpx.Client")
+    def test_create_chat_message_with_vision_model_by_local_file(self, mock_httpx_client):
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.text = '{"answer": "I can see this is a test uploaded image."}'
+        mock_response.json.return_value = {"answer": "I can see this is a test uploaded image."}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Create client with mocked httpx
+        chat_client = ChatClient(self.api_key)
         files = [
             {
                 "type": "image",
                 "transfer_method": "local_file",
-                "upload_file_id": "your_file_id",
+                "upload_file_id": "test-file-id",
             }
         ]
-        response = self.chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files)
+        response = chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files)
         self.assertIn("answer", response.text)
 
-    def test_get_conversation_messages(self):
+    @patch("dify_client.client.httpx.Client")
-        response = self.chat_client.get_conversation_messages("test_user", "your_conversation_id")
+    def test_get_conversation_messages(self, mock_httpx_client):
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.text = '{"answer": "Here are the conversation messages."}'
+        mock_response.json.return_value = {"answer": "Here are the conversation messages."}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Create client with mocked httpx
+        chat_client = ChatClient(self.api_key)
+        response = chat_client.get_conversation_messages("test_user", "test-conversation-id")
         self.assertIn("answer", response.text)
 
-    def test_get_conversations(self):
+    @patch("dify_client.client.httpx.Client")
-        response = self.chat_client.get_conversations("test_user")
+    def test_get_conversations(self, mock_httpx_client):
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.text = '{"data": [{"id": "conv1", "name": "Test Conversation"}]}'
+        mock_response.json.return_value = {"data": [{"id": "conv1", "name": "Test Conversation"}]}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Create client with mocked httpx
+        chat_client = ChatClient(self.api_key)
+        response = chat_client.get_conversations("test_user")
         self.assertIn("data", response.text)
 
 
 class TestCompletionClient(unittest.TestCase):
-    def setUp(self):
+    @patch("dify_client.client.httpx.Client")
-        self.completion_client = CompletionClient(API_KEY)
+    def setUp(self, mock_httpx_client):
+        self.api_key = "test-api-key"
+        self.completion_client = CompletionClient(self.api_key)
 
-    def test_create_completion_message(self):
+        # Set up default mock response for the client
-        response = self.completion_client.create_completion_message(
+        mock_response = Mock()
+        mock_response.text = '{"answer": "This is a test completion response."}'
+        mock_response.json.return_value = {"answer": "This is a test completion response."}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+    @patch("dify_client.client.httpx.Client")
+    def test_create_completion_message(self, mock_httpx_client):
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.text = '{"answer": "The weather today is sunny with a temperature of 75°F."}'
+        mock_response.json.return_value = {"answer": "The weather today is sunny with a temperature of 75°F."}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Create client with mocked httpx
+        completion_client = CompletionClient(self.api_key)
+        response = completion_client.create_completion_message(
             {"query": "What's the weather like today?"}, "blocking", "test_user"
         )
         self.assertIn("answer", response.text)
 
-    def test_create_completion_message_with_vision_model_by_remote_url(self):
+    @patch("dify_client.client.httpx.Client")
-        files = [{"type": "image", "transfer_method": "remote_url", "url": "your_image_url"}]
+    def test_create_completion_message_with_vision_model_by_remote_url(self, mock_httpx_client):
-        response = self.completion_client.create_completion_message(
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.text = '{"answer": "This is a test image description from completion API."}'
+        mock_response.json.return_value = {"answer": "This is a test image description from completion API."}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Create client with mocked httpx
+        completion_client = CompletionClient(self.api_key)
+        files = [{"type": "image", "transfer_method": "remote_url", "url": "https://example.com/test-image.jpg"}]
+        response = completion_client.create_completion_message(
             {"query": "Describe the picture."}, "blocking", "test_user", files
         )
         self.assertIn("answer", response.text)
 
-    def test_create_completion_message_with_vision_model_by_local_file(self):
+    @patch("dify_client.client.httpx.Client")
+    def test_create_completion_message_with_vision_model_by_local_file(self, mock_httpx_client):
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.text = '{"answer": "This is a test uploaded image description from completion API."}'
+        mock_response.json.return_value = {"answer": "This is a test uploaded image description from completion API."}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Create client with mocked httpx
+        completion_client = CompletionClient(self.api_key)
         files = [
             {
                 "type": "image",
                 "transfer_method": "local_file",
-                "upload_file_id": "your_file_id",
+                "upload_file_id": "test-file-id",
             }
         ]
-        response = self.completion_client.create_completion_message(
+        response = completion_client.create_completion_message(
             {"query": "Describe the picture."}, "blocking", "test_user", files
         )
         self.assertIn("answer", response.text)
 
 
 class TestDifyClient(unittest.TestCase):
-    def setUp(self):
+    @patch("dify_client.client.httpx.Client")
-        self.dify_client = DifyClient(API_KEY)
+    def setUp(self, mock_httpx_client):
+        self.api_key = "test-api-key"
+        self.dify_client = DifyClient(self.api_key)
 
-    def test_message_feedback(self):
+        # Set up default mock response for the client
-        response = self.dify_client.message_feedback("your_message_id", "like", "test_user")
+        mock_response = Mock()
+        mock_response.text = '{"result": "success"}'
+        mock_response.json.return_value = {"result": "success"}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+    @patch("dify_client.client.httpx.Client")
+    def test_message_feedback(self, mock_httpx_client):
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.text = '{"success": true}'
+        mock_response.json.return_value = {"success": True}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Create client with mocked httpx
+        dify_client = DifyClient(self.api_key)
+        response = dify_client.message_feedback("test-message-id", "like", "test_user")
         self.assertIn("success", response.text)
 
-    def test_get_application_parameters(self):
+    @patch("dify_client.client.httpx.Client")
-        response = self.dify_client.get_application_parameters("test_user")
+    def test_get_application_parameters(self, mock_httpx_client):
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.text = '{"user_input_form": [{"field": "text", "label": "Input"}]}'
+        mock_response.json.return_value = {"user_input_form": [{"field": "text", "label": "Input"}]}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Create client with mocked httpx
+        dify_client = DifyClient(self.api_key)
+        response = dify_client.get_application_parameters("test_user")
         self.assertIn("user_input_form", response.text)
 
-    def test_file_upload(self):
+    @patch("dify_client.client.httpx.Client")
-        file_path = "your_image_file_path"
+    @patch("builtins.open", new_callable=mock_open, read_data=b"fake image data")
+    def test_file_upload(self, mock_file_open, mock_httpx_client):
+        # Mock the HTTP response
+        mock_response = Mock()
+        mock_response.text = '{"name": "panda.jpeg", "id": "test-file-id"}'
+        mock_response.json.return_value = {"name": "panda.jpeg", "id": "test-file-id"}
+        mock_response.status_code = 200
+
+        mock_client_instance = Mock()
+        mock_client_instance.request.return_value = mock_response
+        mock_httpx_client.return_value = mock_client_instance
+
+        # Create client with mocked httpx
+        dify_client = DifyClient(self.api_key)
+        file_path = "/path/to/test/panda.jpeg"
         file_name = "panda.jpeg"
         mime_type = "image/jpeg"
 
         with open(file_path, "rb") as file:
             files = {"file": (file_name, file, mime_type)}
-            response = self.dify_client.file_upload("test_user", files)
+            response = dify_client.file_upload("test_user", files)
             self.assertIn("name", response.text)
 
 

sdks/python-client/tests/test_exceptions.py

@@ -0,0 +1,79 @@
+"""Tests for custom exceptions."""
+
+import unittest
+from dify_client.exceptions import (
+    DifyClientError,
+    APIError,
+    AuthenticationError,
+    RateLimitError,
+    ValidationError,
+    NetworkError,
+    TimeoutError,
+    FileUploadError,
+    DatasetError,
+    WorkflowError,
+)
+
+
+class TestExceptions(unittest.TestCase):
+    """Test custom exception classes."""
+
+    def test_base_exception(self):
+        """Test base DifyClientError."""
+        error = DifyClientError("Test message", 500, {"error": "details"})
+        self.assertEqual(str(error), "Test message")
+        self.assertEqual(error.status_code, 500)
+        self.assertEqual(error.response, {"error": "details"})
+
+    def test_api_error(self):
+        """Test APIError."""
+        error = APIError("API failed", 400)
+        self.assertEqual(error.status_code, 400)
+        self.assertEqual(error.message, "API failed")
+
+    def test_authentication_error(self):
+        """Test AuthenticationError."""
+        error = AuthenticationError("Invalid API key")
+        self.assertEqual(str(error), "Invalid API key")
+
+    def test_rate_limit_error(self):
+        """Test RateLimitError."""
+        error = RateLimitError("Rate limited", retry_after=60)
+        self.assertEqual(error.retry_after, 60)
+
+        error_default = RateLimitError()
+        self.assertEqual(error_default.retry_after, None)
+
+    def test_validation_error(self):
+        """Test ValidationError."""
+        error = ValidationError("Invalid parameter")
+        self.assertEqual(str(error), "Invalid parameter")
+
+    def test_network_error(self):
+        """Test NetworkError."""
+        error = NetworkError("Connection failed")
+        self.assertEqual(str(error), "Connection failed")
+
+    def test_timeout_error(self):
+        """Test TimeoutError."""
+        error = TimeoutError("Request timed out")
+        self.assertEqual(str(error), "Request timed out")
+
+    def test_file_upload_error(self):
+        """Test FileUploadError."""
+        error = FileUploadError("Upload failed")
+        self.assertEqual(str(error), "Upload failed")
+
+    def test_dataset_error(self):
+        """Test DatasetError."""
+        error = DatasetError("Dataset operation failed")
+        self.assertEqual(str(error), "Dataset operation failed")
+
+    def test_workflow_error(self):
+        """Test WorkflowError."""
+        error = WorkflowError("Workflow failed")
+        self.assertEqual(str(error), "Workflow failed")
+
+
+if __name__ == "__main__":
+    unittest.main()

sdks/python-client/tests/test_httpx_migration.py

@@ -152,6 +152,7 @@ class TestHttpxMigrationMocked(unittest.TestCase):
         """Test that json parameter is passed correctly."""
         mock_response = Mock()
         mock_response.json.return_value = {"result": "success"}
+        mock_response.status_code = 200  # Add status_code attribute
 
         mock_client_instance = Mock()
         mock_client_instance.request.return_value = mock_response
@@ -173,6 +174,7 @@ class TestHttpxMigrationMocked(unittest.TestCase):
         """Test that params parameter is passed correctly."""
         mock_response = Mock()
         mock_response.json.return_value = {"result": "success"}
+        mock_response.status_code = 200  # Add status_code attribute
 
         mock_client_instance = Mock()
         mock_client_instance.request.return_value = mock_response

sdks/python-client/tests/test_integration.py

@@ -0,0 +1,539 @@
+"""Integration tests with proper mocking."""
+
+import unittest
+from unittest.mock import Mock, patch, MagicMock
+import json
+import httpx
+from dify_client import (
+    DifyClient,
+    ChatClient,
+    CompletionClient,
+    WorkflowClient,
+    KnowledgeBaseClient,
+    WorkspaceClient,
+)
+from dify_client.exceptions import (
+    APIError,
+    AuthenticationError,
+    RateLimitError,
+    ValidationError,
+)
+
+
+class TestDifyClientIntegration(unittest.TestCase):
+    """Integration tests for DifyClient with mocked HTTP responses."""
+
+    def setUp(self):
+        self.api_key = "test_api_key"
+        self.base_url = "https://api.dify.ai/v1"
+        self.client = DifyClient(api_key=self.api_key, base_url=self.base_url, enable_logging=False)
+
+    @patch("httpx.Client.request")
+    def test_get_app_info_integration(self, mock_request):
+        """Test get_app_info integration."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "id": "app_123",
+            "name": "Test App",
+            "description": "A test application",
+            "mode": "chat",
+        }
+        mock_request.return_value = mock_response
+
+        response = self.client.get_app_info()
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(data["id"], "app_123")
+        self.assertEqual(data["name"], "Test App")
+        mock_request.assert_called_once_with(
+            "GET",
+            "/info",
+            json=None,
+            params=None,
+            headers={
+                "Authorization": f"Bearer {self.api_key}",
+                "Content-Type": "application/json",
+            },
+        )
+
+    @patch("httpx.Client.request")
+    def test_get_application_parameters_integration(self, mock_request):
+        """Test get_application_parameters integration."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "opening_statement": "Hello! How can I help you?",
+            "suggested_questions": ["What is AI?", "How does this work?"],
+            "speech_to_text": {"enabled": True},
+            "text_to_speech": {"enabled": False},
+        }
+        mock_request.return_value = mock_response
+
+        response = self.client.get_application_parameters("user_123")
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(data["opening_statement"], "Hello! How can I help you?")
+        self.assertEqual(len(data["suggested_questions"]), 2)
+        mock_request.assert_called_once_with(
+            "GET",
+            "/parameters",
+            json=None,
+            params={"user": "user_123"},
+            headers={
+                "Authorization": f"Bearer {self.api_key}",
+                "Content-Type": "application/json",
+            },
+        )
+
+    @patch("httpx.Client.request")
+    def test_file_upload_integration(self, mock_request):
+        """Test file_upload integration."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "id": "file_123",
+            "name": "test.txt",
+            "size": 1024,
+            "mime_type": "text/plain",
+        }
+        mock_request.return_value = mock_response
+
+        files = {"file": ("test.txt", "test content", "text/plain")}
+        response = self.client.file_upload("user_123", files)
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(data["id"], "file_123")
+        self.assertEqual(data["name"], "test.txt")
+
+    @patch("httpx.Client.request")
+    def test_message_feedback_integration(self, mock_request):
+        """Test message_feedback integration."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {"success": True}
+        mock_request.return_value = mock_response
+
+        response = self.client.message_feedback("msg_123", "like", "user_123")
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertTrue(data["success"])
+        mock_request.assert_called_once_with(
+            "POST",
+            "/messages/msg_123/feedbacks",
+            json={"rating": "like", "user": "user_123"},
+            params=None,
+            headers={
+                "Authorization": "Bearer test_api_key",
+                "Content-Type": "application/json",
+            },
+        )
+
+
+class TestChatClientIntegration(unittest.TestCase):
+    """Integration tests for ChatClient."""
+
+    def setUp(self):
+        self.client = ChatClient("test_api_key", enable_logging=False)
+
+    @patch("httpx.Client.request")
+    def test_create_chat_message_blocking(self, mock_request):
+        """Test create_chat_message with blocking response."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "id": "msg_123",
+            "answer": "Hello! How can I help you today?",
+            "conversation_id": "conv_123",
+            "created_at": 1234567890,
+        }
+        mock_request.return_value = mock_response
+
+        response = self.client.create_chat_message(
+            inputs={"query": "Hello"},
+            query="Hello, AI!",
+            user="user_123",
+            response_mode="blocking",
+        )
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(data["answer"], "Hello! How can I help you today?")
+        self.assertEqual(data["conversation_id"], "conv_123")
+
+    @patch("httpx.Client.request")
+    def test_create_chat_message_streaming(self, mock_request):
+        """Test create_chat_message with streaming response."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.iter_lines.return_value = [
+            b'data: {"answer": "Hello"}',
+            b'data: {"answer": " world"}',
+            b'data: {"answer": "!"}',
+        ]
+        mock_request.return_value = mock_response
+
+        response = self.client.create_chat_message(inputs={}, query="Hello", user="user_123", response_mode="streaming")
+
+        self.assertEqual(response.status_code, 200)
+        lines = list(response.iter_lines())
+        self.assertEqual(len(lines), 3)
+
+    @patch("httpx.Client.request")
+    def test_get_conversations_integration(self, mock_request):
+        """Test get_conversations integration."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "data": [
+                {"id": "conv_1", "name": "Conversation 1"},
+                {"id": "conv_2", "name": "Conversation 2"},
+            ],
+            "has_more": False,
+            "limit": 20,
+        }
+        mock_request.return_value = mock_response
+
+        response = self.client.get_conversations("user_123", limit=20)
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(len(data["data"]), 2)
+        self.assertEqual(data["data"][0]["name"], "Conversation 1")
+
+    @patch("httpx.Client.request")
+    def test_get_conversation_messages_integration(self, mock_request):
+        """Test get_conversation_messages integration."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "data": [
+                {"id": "msg_1", "role": "user", "content": "Hello"},
+                {"id": "msg_2", "role": "assistant", "content": "Hi there!"},
+            ]
+        }
+        mock_request.return_value = mock_response
+
+        response = self.client.get_conversation_messages("user_123", conversation_id="conv_123")
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(len(data["data"]), 2)
+        self.assertEqual(data["data"][0]["role"], "user")
+
+
+class TestCompletionClientIntegration(unittest.TestCase):
+    """Integration tests for CompletionClient."""
+
+    def setUp(self):
+        self.client = CompletionClient("test_api_key", enable_logging=False)
+
+    @patch("httpx.Client.request")
+    def test_create_completion_message_blocking(self, mock_request):
+        """Test create_completion_message with blocking response."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "id": "comp_123",
+            "answer": "This is a completion response.",
+            "created_at": 1234567890,
+        }
+        mock_request.return_value = mock_response
+
+        response = self.client.create_completion_message(
+            inputs={"prompt": "Complete this sentence"},
+            response_mode="blocking",
+            user="user_123",
+        )
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(data["answer"], "This is a completion response.")
+
+    @patch("httpx.Client.request")
+    def test_create_completion_message_with_files(self, mock_request):
+        """Test create_completion_message with files."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "id": "comp_124",
+            "answer": "I can see the image shows...",
+            "files": [{"id": "file_1", "type": "image"}],
+        }
+        mock_request.return_value = mock_response
+
+        files = {
+            "file": {
+                "type": "image",
+                "transfer_method": "remote_url",
+                "url": "https://example.com/image.jpg",
+            }
+        }
+        response = self.client.create_completion_message(
+            inputs={"prompt": "Describe this image"},
+            response_mode="blocking",
+            user="user_123",
+            files=files,
+        )
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertIn("image", data["answer"])
+        self.assertEqual(len(data["files"]), 1)
+
+
+class TestWorkflowClientIntegration(unittest.TestCase):
+    """Integration tests for WorkflowClient."""
+
+    def setUp(self):
+        self.client = WorkflowClient("test_api_key", enable_logging=False)
+
+    @patch("httpx.Client.request")
+    def test_run_workflow_blocking(self, mock_request):
+        """Test run workflow with blocking response."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "id": "run_123",
+            "workflow_id": "workflow_123",
+            "status": "succeeded",
+            "inputs": {"query": "Test input"},
+            "outputs": {"result": "Test output"},
+            "elapsed_time": 2.5,
+        }
+        mock_request.return_value = mock_response
+
+        response = self.client.run(inputs={"query": "Test input"}, response_mode="blocking", user="user_123")
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(data["status"], "succeeded")
+        self.assertEqual(data["outputs"]["result"], "Test output")
+
+    @patch("httpx.Client.request")
+    def test_get_workflow_logs(self, mock_request):
+        """Test get_workflow_logs integration."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "logs": [
+                {"id": "log_1", "status": "succeeded", "created_at": 1234567890},
+                {"id": "log_2", "status": "failed", "created_at": 1234567891},
+            ],
+            "total": 2,
+            "page": 1,
+            "limit": 20,
+        }
+        mock_request.return_value = mock_response
+
+        response = self.client.get_workflow_logs(page=1, limit=20)
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(len(data["logs"]), 2)
+        self.assertEqual(data["logs"][0]["status"], "succeeded")
+
+
+class TestKnowledgeBaseClientIntegration(unittest.TestCase):
+    """Integration tests for KnowledgeBaseClient."""
+
+    def setUp(self):
+        self.client = KnowledgeBaseClient("test_api_key")
+
+    @patch("httpx.Client.request")
+    def test_create_dataset(self, mock_request):
+        """Test create_dataset integration."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "id": "dataset_123",
+            "name": "Test Dataset",
+            "description": "A test dataset",
+            "created_at": 1234567890,
+        }
+        mock_request.return_value = mock_response
+
+        response = self.client.create_dataset(name="Test Dataset")
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(data["name"], "Test Dataset")
+        self.assertEqual(data["id"], "dataset_123")
+
+    @patch("httpx.Client.request")
+    def test_list_datasets(self, mock_request):
+        """Test list_datasets integration."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "data": [
+                {"id": "dataset_1", "name": "Dataset 1"},
+                {"id": "dataset_2", "name": "Dataset 2"},
+            ],
+            "has_more": False,
+            "limit": 20,
+        }
+        mock_request.return_value = mock_response
+
+        response = self.client.list_datasets(page=1, page_size=20)
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(len(data["data"]), 2)
+
+    @patch("httpx.Client.request")
+    def test_create_document_by_text(self, mock_request):
+        """Test create_document_by_text integration."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "document": {
+                "id": "doc_123",
+                "name": "Test Document",
+                "word_count": 100,
+                "status": "indexing",
+            }
+        }
+        mock_request.return_value = mock_response
+
+        # Mock dataset_id
+        self.client.dataset_id = "dataset_123"
+
+        response = self.client.create_document_by_text(name="Test Document", text="This is test document content.")
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(data["document"]["name"], "Test Document")
+        self.assertEqual(data["document"]["word_count"], 100)
+
+
+class TestWorkspaceClientIntegration(unittest.TestCase):
+    """Integration tests for WorkspaceClient."""
+
+    def setUp(self):
+        self.client = WorkspaceClient("test_api_key", enable_logging=False)
+
+    @patch("httpx.Client.request")
+    def test_get_available_models(self, mock_request):
+        """Test get_available_models integration."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "models": [
+                {"id": "gpt-4", "name": "GPT-4", "provider": "openai"},
+                {"id": "claude-3", "name": "Claude 3", "provider": "anthropic"},
+            ]
+        }
+        mock_request.return_value = mock_response
+
+        response = self.client.get_available_models("llm")
+        data = response.json()
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(len(data["models"]), 2)
+        self.assertEqual(data["models"][0]["id"], "gpt-4")
+
+
+class TestErrorScenariosIntegration(unittest.TestCase):
+    """Integration tests for error scenarios."""
+
+    def setUp(self):
+        self.client = DifyClient("test_api_key", enable_logging=False)
+
+    @patch("httpx.Client.request")
+    def test_authentication_error_integration(self, mock_request):
+        """Test authentication error in integration."""
+        mock_response = Mock()
+        mock_response.status_code = 401
+        mock_response.json.return_value = {"message": "Invalid API key"}
+        mock_request.return_value = mock_response
+
+        with self.assertRaises(AuthenticationError) as context:
+            self.client.get_app_info()
+
+        self.assertEqual(str(context.exception), "Invalid API key")
+        self.assertEqual(context.exception.status_code, 401)
+
+    @patch("httpx.Client.request")
+    def test_rate_limit_error_integration(self, mock_request):
+        """Test rate limit error in integration."""
+        mock_response = Mock()
+        mock_response.status_code = 429
+        mock_response.json.return_value = {"message": "Rate limit exceeded"}
+        mock_response.headers = {"Retry-After": "60"}
+        mock_request.return_value = mock_response
+
+        with self.assertRaises(RateLimitError) as context:
+            self.client.get_app_info()
+
+        self.assertEqual(str(context.exception), "Rate limit exceeded")
+        self.assertEqual(context.exception.retry_after, "60")
+
+    @patch("httpx.Client.request")
+    def test_server_error_with_retry_integration(self, mock_request):
+        """Test server error with retry in integration."""
+        # API errors don't retry by design - only network/timeout errors retry
+        mock_response_500 = Mock()
+        mock_response_500.status_code = 500
+        mock_response_500.json.return_value = {"message": "Internal server error"}
+
+        mock_request.return_value = mock_response_500
+
+        with patch("time.sleep"):  # Skip actual sleep
+            with self.assertRaises(APIError) as context:
+                self.client.get_app_info()
+
+        self.assertEqual(str(context.exception), "Internal server error")
+        self.assertEqual(mock_request.call_count, 1)
+
+    @patch("httpx.Client.request")
+    def test_validation_error_integration(self, mock_request):
+        """Test validation error in integration."""
+        mock_response = Mock()
+        mock_response.status_code = 422
+        mock_response.json.return_value = {
+            "message": "Validation failed",
+            "details": {"field": "query", "error": "required"},
+        }
+        mock_request.return_value = mock_response
+
+        with self.assertRaises(ValidationError) as context:
+            self.client.get_app_info()
+
+        self.assertEqual(str(context.exception), "Validation failed")
+        self.assertEqual(context.exception.status_code, 422)
+
+
+class TestContextManagerIntegration(unittest.TestCase):
+    """Integration tests for context manager usage."""
+
+    @patch("httpx.Client.close")
+    @patch("httpx.Client.request")
+    def test_context_manager_usage(self, mock_request, mock_close):
+        """Test context manager properly closes connections."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {"id": "app_123", "name": "Test App"}
+        mock_request.return_value = mock_response
+
+        with DifyClient("test_api_key") as client:
+            response = client.get_app_info()
+            self.assertEqual(response.status_code, 200)
+
+        # Verify close was called
+        mock_close.assert_called_once()
+
+    @patch("httpx.Client.close")
+    def test_manual_close(self, mock_close):
+        """Test manual close method."""
+        client = DifyClient("test_api_key")
+        client.close()
+        mock_close.assert_called_once()
+
+
+if __name__ == "__main__":
+    unittest.main()

sdks/python-client/tests/test_models.py

@@ -0,0 +1,640 @@
+"""Unit tests for response models."""
+
+import unittest
+import json
+from datetime import datetime
+from dify_client.models import (
+    BaseResponse,
+    ErrorResponse,
+    FileInfo,
+    MessageResponse,
+    ConversationResponse,
+    DatasetResponse,
+    DocumentResponse,
+    DocumentSegmentResponse,
+    WorkflowRunResponse,
+    ApplicationParametersResponse,
+    AnnotationResponse,
+    PaginatedResponse,
+    ConversationVariableResponse,
+    FileUploadResponse,
+    AudioResponse,
+    SuggestedQuestionsResponse,
+    AppInfoResponse,
+    WorkspaceModelsResponse,
+    HitTestingResponse,
+    DatasetTagsResponse,
+    WorkflowLogsResponse,
+    ModelProviderResponse,
+    FileInfoResponse,
+    WorkflowDraftResponse,
+    ApiTokenResponse,
+    JobStatusResponse,
+    DatasetQueryResponse,
+    DatasetTemplateResponse,
+)
+
+
+class TestResponseModels(unittest.TestCase):
+    """Test cases for response model classes."""
+
+    def test_base_response(self):
+        """Test BaseResponse model."""
+        response = BaseResponse(success=True, message="Operation successful")
+        self.assertTrue(response.success)
+        self.assertEqual(response.message, "Operation successful")
+
+    def test_base_response_defaults(self):
+        """Test BaseResponse with default values."""
+        response = BaseResponse(success=True)
+        self.assertTrue(response.success)
+        self.assertIsNone(response.message)
+
+    def test_error_response(self):
+        """Test ErrorResponse model."""
+        response = ErrorResponse(
+            success=False,
+            message="Error occurred",
+            error_code="VALIDATION_ERROR",
+            details={"field": "invalid_value"},
+        )
+        self.assertFalse(response.success)
+        self.assertEqual(response.message, "Error occurred")
+        self.assertEqual(response.error_code, "VALIDATION_ERROR")
+        self.assertEqual(response.details["field"], "invalid_value")
+
+    def test_file_info(self):
+        """Test FileInfo model."""
+        now = datetime.now()
+        file_info = FileInfo(
+            id="file_123",
+            name="test.txt",
+            size=1024,
+            mime_type="text/plain",
+            url="https://example.com/file.txt",
+            created_at=now,
+        )
+        self.assertEqual(file_info.id, "file_123")
+        self.assertEqual(file_info.name, "test.txt")
+        self.assertEqual(file_info.size, 1024)
+        self.assertEqual(file_info.mime_type, "text/plain")
+        self.assertEqual(file_info.url, "https://example.com/file.txt")
+        self.assertEqual(file_info.created_at, now)
+
+    def test_message_response(self):
+        """Test MessageResponse model."""
+        response = MessageResponse(
+            success=True,
+            id="msg_123",
+            answer="Hello, world!",
+            conversation_id="conv_123",
+            created_at=1234567890,
+            metadata={"model": "gpt-4"},
+            files=[{"id": "file_1", "type": "image"}],
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "msg_123")
+        self.assertEqual(response.answer, "Hello, world!")
+        self.assertEqual(response.conversation_id, "conv_123")
+        self.assertEqual(response.created_at, 1234567890)
+        self.assertEqual(response.metadata["model"], "gpt-4")
+        self.assertEqual(response.files[0]["id"], "file_1")
+
+    def test_conversation_response(self):
+        """Test ConversationResponse model."""
+        response = ConversationResponse(
+            success=True,
+            id="conv_123",
+            name="Test Conversation",
+            inputs={"query": "Hello"},
+            status="active",
+            created_at=1234567890,
+            updated_at=1234567891,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "conv_123")
+        self.assertEqual(response.name, "Test Conversation")
+        self.assertEqual(response.inputs["query"], "Hello")
+        self.assertEqual(response.status, "active")
+        self.assertEqual(response.created_at, 1234567890)
+        self.assertEqual(response.updated_at, 1234567891)
+
+    def test_dataset_response(self):
+        """Test DatasetResponse model."""
+        response = DatasetResponse(
+            success=True,
+            id="dataset_123",
+            name="Test Dataset",
+            description="A test dataset",
+            permission="read",
+            indexing_technique="high_quality",
+            embedding_model="text-embedding-ada-002",
+            embedding_model_provider="openai",
+            retrieval_model={"search_type": "semantic"},
+            document_count=10,
+            word_count=5000,
+            app_count=2,
+            created_at=1234567890,
+            updated_at=1234567891,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "dataset_123")
+        self.assertEqual(response.name, "Test Dataset")
+        self.assertEqual(response.description, "A test dataset")
+        self.assertEqual(response.permission, "read")
+        self.assertEqual(response.indexing_technique, "high_quality")
+        self.assertEqual(response.embedding_model, "text-embedding-ada-002")
+        self.assertEqual(response.embedding_model_provider, "openai")
+        self.assertEqual(response.retrieval_model["search_type"], "semantic")
+        self.assertEqual(response.document_count, 10)
+        self.assertEqual(response.word_count, 5000)
+        self.assertEqual(response.app_count, 2)
+
+    def test_document_response(self):
+        """Test DocumentResponse model."""
+        response = DocumentResponse(
+            success=True,
+            id="doc_123",
+            name="test_document.txt",
+            data_source_type="upload_file",
+            position=1,
+            enabled=True,
+            word_count=1000,
+            hit_count=5,
+            doc_form="text_model",
+            created_at=1234567890.0,
+            indexing_status="completed",
+            completed_at=1234567891.0,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "doc_123")
+        self.assertEqual(response.name, "test_document.txt")
+        self.assertEqual(response.data_source_type, "upload_file")
+        self.assertEqual(response.position, 1)
+        self.assertTrue(response.enabled)
+        self.assertEqual(response.word_count, 1000)
+        self.assertEqual(response.hit_count, 5)
+        self.assertEqual(response.doc_form, "text_model")
+        self.assertEqual(response.created_at, 1234567890.0)
+        self.assertEqual(response.indexing_status, "completed")
+        self.assertEqual(response.completed_at, 1234567891.0)
+
+    def test_document_segment_response(self):
+        """Test DocumentSegmentResponse model."""
+        response = DocumentSegmentResponse(
+            success=True,
+            id="seg_123",
+            position=1,
+            document_id="doc_123",
+            content="This is a test segment.",
+            answer="Test answer",
+            word_count=5,
+            tokens=10,
+            keywords=["test", "segment"],
+            hit_count=2,
+            enabled=True,
+            status="completed",
+            created_at=1234567890.0,
+            completed_at=1234567891.0,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "seg_123")
+        self.assertEqual(response.position, 1)
+        self.assertEqual(response.document_id, "doc_123")
+        self.assertEqual(response.content, "This is a test segment.")
+        self.assertEqual(response.answer, "Test answer")
+        self.assertEqual(response.word_count, 5)
+        self.assertEqual(response.tokens, 10)
+        self.assertEqual(response.keywords, ["test", "segment"])
+        self.assertEqual(response.hit_count, 2)
+        self.assertTrue(response.enabled)
+        self.assertEqual(response.status, "completed")
+        self.assertEqual(response.created_at, 1234567890.0)
+        self.assertEqual(response.completed_at, 1234567891.0)
+
+    def test_workflow_run_response(self):
+        """Test WorkflowRunResponse model."""
+        response = WorkflowRunResponse(
+            success=True,
+            id="run_123",
+            workflow_id="workflow_123",
+            status="succeeded",
+            inputs={"query": "test"},
+            outputs={"answer": "result"},
+            elapsed_time=5.5,
+            total_tokens=100,
+            total_steps=3,
+            created_at=1234567890.0,
+            finished_at=1234567895.5,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "run_123")
+        self.assertEqual(response.workflow_id, "workflow_123")
+        self.assertEqual(response.status, "succeeded")
+        self.assertEqual(response.inputs["query"], "test")
+        self.assertEqual(response.outputs["answer"], "result")
+        self.assertEqual(response.elapsed_time, 5.5)
+        self.assertEqual(response.total_tokens, 100)
+        self.assertEqual(response.total_steps, 3)
+        self.assertEqual(response.created_at, 1234567890.0)
+        self.assertEqual(response.finished_at, 1234567895.5)
+
+    def test_application_parameters_response(self):
+        """Test ApplicationParametersResponse model."""
+        response = ApplicationParametersResponse(
+            success=True,
+            opening_statement="Hello! How can I help you?",
+            suggested_questions=["What is AI?", "How does this work?"],
+            speech_to_text={"enabled": True},
+            text_to_speech={"enabled": False, "voice": "alloy"},
+            retriever_resource={"enabled": True},
+            sensitive_word_avoidance={"enabled": False},
+            file_upload={"enabled": True, "file_size_limit": 10485760},
+            system_parameters={"max_tokens": 1000},
+            user_input_form=[{"type": "text", "label": "Query"}],
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.opening_statement, "Hello! How can I help you?")
+        self.assertEqual(response.suggested_questions, ["What is AI?", "How does this work?"])
+        self.assertTrue(response.speech_to_text["enabled"])
+        self.assertFalse(response.text_to_speech["enabled"])
+        self.assertEqual(response.text_to_speech["voice"], "alloy")
+        self.assertTrue(response.retriever_resource["enabled"])
+        self.assertFalse(response.sensitive_word_avoidance["enabled"])
+        self.assertTrue(response.file_upload["enabled"])
+        self.assertEqual(response.file_upload["file_size_limit"], 10485760)
+        self.assertEqual(response.system_parameters["max_tokens"], 1000)
+        self.assertEqual(response.user_input_form[0]["type"], "text")
+
+    def test_annotation_response(self):
+        """Test AnnotationResponse model."""
+        response = AnnotationResponse(
+            success=True,
+            id="annotation_123",
+            question="What is the capital of France?",
+            answer="Paris",
+            content="Additional context",
+            created_at=1234567890.0,
+            updated_at=1234567891.0,
+            created_by="user_123",
+            updated_by="user_123",
+            hit_count=5,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "annotation_123")
+        self.assertEqual(response.question, "What is the capital of France?")
+        self.assertEqual(response.answer, "Paris")
+        self.assertEqual(response.content, "Additional context")
+        self.assertEqual(response.created_at, 1234567890.0)
+        self.assertEqual(response.updated_at, 1234567891.0)
+        self.assertEqual(response.created_by, "user_123")
+        self.assertEqual(response.updated_by, "user_123")
+        self.assertEqual(response.hit_count, 5)
+
+    def test_paginated_response(self):
+        """Test PaginatedResponse model."""
+        response = PaginatedResponse(
+            success=True,
+            data=[{"id": 1}, {"id": 2}, {"id": 3}],
+            has_more=True,
+            limit=10,
+            total=100,
+            page=1,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(len(response.data), 3)
+        self.assertEqual(response.data[0]["id"], 1)
+        self.assertTrue(response.has_more)
+        self.assertEqual(response.limit, 10)
+        self.assertEqual(response.total, 100)
+        self.assertEqual(response.page, 1)
+
+    def test_conversation_variable_response(self):
+        """Test ConversationVariableResponse model."""
+        response = ConversationVariableResponse(
+            success=True,
+            conversation_id="conv_123",
+            variables=[
+                {"id": "var_1", "name": "user_name", "value": "John"},
+                {"id": "var_2", "name": "preferences", "value": {"theme": "dark"}},
+            ],
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.conversation_id, "conv_123")
+        self.assertEqual(len(response.variables), 2)
+        self.assertEqual(response.variables[0]["name"], "user_name")
+        self.assertEqual(response.variables[0]["value"], "John")
+        self.assertEqual(response.variables[1]["name"], "preferences")
+        self.assertEqual(response.variables[1]["value"]["theme"], "dark")
+
+    def test_file_upload_response(self):
+        """Test FileUploadResponse model."""
+        response = FileUploadResponse(
+            success=True,
+            id="file_123",
+            name="test.txt",
+            size=1024,
+            mime_type="text/plain",
+            url="https://example.com/files/test.txt",
+            created_at=1234567890.0,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "file_123")
+        self.assertEqual(response.name, "test.txt")
+        self.assertEqual(response.size, 1024)
+        self.assertEqual(response.mime_type, "text/plain")
+        self.assertEqual(response.url, "https://example.com/files/test.txt")
+        self.assertEqual(response.created_at, 1234567890.0)
+
+    def test_audio_response(self):
+        """Test AudioResponse model."""
+        response = AudioResponse(
+            success=True,
+            audio="base64_encoded_audio_data",
+            audio_url="https://example.com/audio.mp3",
+            duration=10.5,
+            sample_rate=44100,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.audio, "base64_encoded_audio_data")
+        self.assertEqual(response.audio_url, "https://example.com/audio.mp3")
+        self.assertEqual(response.duration, 10.5)
+        self.assertEqual(response.sample_rate, 44100)
+
+    def test_suggested_questions_response(self):
+        """Test SuggestedQuestionsResponse model."""
+        response = SuggestedQuestionsResponse(
+            success=True,
+            message_id="msg_123",
+            questions=[
+                "What is machine learning?",
+                "How does AI work?",
+                "Can you explain neural networks?",
+            ],
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.message_id, "msg_123")
+        self.assertEqual(len(response.questions), 3)
+        self.assertEqual(response.questions[0], "What is machine learning?")
+
+    def test_app_info_response(self):
+        """Test AppInfoResponse model."""
+        response = AppInfoResponse(
+            success=True,
+            id="app_123",
+            name="Test App",
+            description="A test application",
+            icon="🤖",
+            icon_background="#FF6B6B",
+            mode="chat",
+            tags=["AI", "Chat", "Test"],
+            enable_site=True,
+            enable_api=True,
+            api_token="app_token_123",
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "app_123")
+        self.assertEqual(response.name, "Test App")
+        self.assertEqual(response.description, "A test application")
+        self.assertEqual(response.icon, "🤖")
+        self.assertEqual(response.icon_background, "#FF6B6B")
+        self.assertEqual(response.mode, "chat")
+        self.assertEqual(response.tags, ["AI", "Chat", "Test"])
+        self.assertTrue(response.enable_site)
+        self.assertTrue(response.enable_api)
+        self.assertEqual(response.api_token, "app_token_123")
+
+    def test_workspace_models_response(self):
+        """Test WorkspaceModelsResponse model."""
+        response = WorkspaceModelsResponse(
+            success=True,
+            models=[
+                {"id": "gpt-4", "name": "GPT-4", "provider": "openai"},
+                {"id": "claude-3", "name": "Claude 3", "provider": "anthropic"},
+            ],
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(len(response.models), 2)
+        self.assertEqual(response.models[0]["id"], "gpt-4")
+        self.assertEqual(response.models[0]["name"], "GPT-4")
+        self.assertEqual(response.models[0]["provider"], "openai")
+
+    def test_hit_testing_response(self):
+        """Test HitTestingResponse model."""
+        response = HitTestingResponse(
+            success=True,
+            query="What is machine learning?",
+            records=[
+                {"content": "Machine learning is a subset of AI...", "score": 0.95},
+                {"content": "ML algorithms learn from data...", "score": 0.87},
+            ],
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.query, "What is machine learning?")
+        self.assertEqual(len(response.records), 2)
+        self.assertEqual(response.records[0]["score"], 0.95)
+
+    def test_dataset_tags_response(self):
+        """Test DatasetTagsResponse model."""
+        response = DatasetTagsResponse(
+            success=True,
+            tags=[
+                {"id": "tag_1", "name": "Technology", "color": "#FF0000"},
+                {"id": "tag_2", "name": "Science", "color": "#00FF00"},
+            ],
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(len(response.tags), 2)
+        self.assertEqual(response.tags[0]["name"], "Technology")
+        self.assertEqual(response.tags[0]["color"], "#FF0000")
+
+    def test_workflow_logs_response(self):
+        """Test WorkflowLogsResponse model."""
+        response = WorkflowLogsResponse(
+            success=True,
+            logs=[
+                {"id": "log_1", "status": "succeeded", "created_at": 1234567890},
+                {"id": "log_2", "status": "failed", "created_at": 1234567891},
+            ],
+            total=50,
+            page=1,
+            limit=10,
+            has_more=True,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(len(response.logs), 2)
+        self.assertEqual(response.logs[0]["status"], "succeeded")
+        self.assertEqual(response.total, 50)
+        self.assertEqual(response.page, 1)
+        self.assertEqual(response.limit, 10)
+        self.assertTrue(response.has_more)
+
+    def test_model_serialization(self):
+        """Test that models can be serialized to JSON."""
+        response = MessageResponse(
+            success=True,
+            id="msg_123",
+            answer="Hello, world!",
+            conversation_id="conv_123",
+        )
+
+        # Convert to dict and then to JSON
+        response_dict = {
+            "success": response.success,
+            "id": response.id,
+            "answer": response.answer,
+            "conversation_id": response.conversation_id,
+        }
+
+        json_str = json.dumps(response_dict)
+        parsed = json.loads(json_str)
+
+        self.assertTrue(parsed["success"])
+        self.assertEqual(parsed["id"], "msg_123")
+        self.assertEqual(parsed["answer"], "Hello, world!")
+        self.assertEqual(parsed["conversation_id"], "conv_123")
+
+    # Tests for new response models
+    def test_model_provider_response(self):
+        """Test ModelProviderResponse model."""
+        response = ModelProviderResponse(
+            success=True,
+            provider_name="openai",
+            provider_type="llm",
+            models=[
+                {"id": "gpt-4", "name": "GPT-4", "max_tokens": 8192},
+                {"id": "gpt-3.5-turbo", "name": "GPT-3.5 Turbo", "max_tokens": 4096},
+            ],
+            is_enabled=True,
+            credentials={"api_key": "sk-..."},
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.provider_name, "openai")
+        self.assertEqual(response.provider_type, "llm")
+        self.assertEqual(len(response.models), 2)
+        self.assertEqual(response.models[0]["id"], "gpt-4")
+        self.assertTrue(response.is_enabled)
+        self.assertEqual(response.credentials["api_key"], "sk-...")
+
+    def test_file_info_response(self):
+        """Test FileInfoResponse model."""
+        response = FileInfoResponse(
+            success=True,
+            id="file_123",
+            name="document.pdf",
+            size=2048576,
+            mime_type="application/pdf",
+            url="https://example.com/files/document.pdf",
+            created_at=1234567890,
+            metadata={"pages": 10, "author": "John Doe"},
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "file_123")
+        self.assertEqual(response.name, "document.pdf")
+        self.assertEqual(response.size, 2048576)
+        self.assertEqual(response.mime_type, "application/pdf")
+        self.assertEqual(response.url, "https://example.com/files/document.pdf")
+        self.assertEqual(response.created_at, 1234567890)
+        self.assertEqual(response.metadata["pages"], 10)
+
+    def test_workflow_draft_response(self):
+        """Test WorkflowDraftResponse model."""
+        response = WorkflowDraftResponse(
+            success=True,
+            id="draft_123",
+            app_id="app_456",
+            draft_data={"nodes": [], "edges": [], "config": {"name": "Test Workflow"}},
+            version=1,
+            created_at=1234567890,
+            updated_at=1234567891,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "draft_123")
+        self.assertEqual(response.app_id, "app_456")
+        self.assertEqual(response.draft_data["config"]["name"], "Test Workflow")
+        self.assertEqual(response.version, 1)
+        self.assertEqual(response.created_at, 1234567890)
+        self.assertEqual(response.updated_at, 1234567891)
+
+    def test_api_token_response(self):
+        """Test ApiTokenResponse model."""
+        response = ApiTokenResponse(
+            success=True,
+            id="token_123",
+            name="Production Token",
+            token="app-xxxxxxxxxxxx",
+            description="Token for production environment",
+            created_at=1234567890,
+            last_used_at=1234567891,
+            is_active=True,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.id, "token_123")
+        self.assertEqual(response.name, "Production Token")
+        self.assertEqual(response.token, "app-xxxxxxxxxxxx")
+        self.assertEqual(response.description, "Token for production environment")
+        self.assertEqual(response.created_at, 1234567890)
+        self.assertEqual(response.last_used_at, 1234567891)
+        self.assertTrue(response.is_active)
+
+    def test_job_status_response(self):
+        """Test JobStatusResponse model."""
+        response = JobStatusResponse(
+            success=True,
+            job_id="job_123",
+            job_status="running",
+            error_msg=None,
+            progress=0.75,
+            created_at=1234567890,
+            updated_at=1234567891,
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.job_id, "job_123")
+        self.assertEqual(response.job_status, "running")
+        self.assertIsNone(response.error_msg)
+        self.assertEqual(response.progress, 0.75)
+        self.assertEqual(response.created_at, 1234567890)
+        self.assertEqual(response.updated_at, 1234567891)
+
+    def test_dataset_query_response(self):
+        """Test DatasetQueryResponse model."""
+        response = DatasetQueryResponse(
+            success=True,
+            query="What is machine learning?",
+            records=[
+                {"content": "Machine learning is...", "score": 0.95},
+                {"content": "ML algorithms...", "score": 0.87},
+            ],
+            total=2,
+            search_time=0.123,
+            retrieval_model={"method": "semantic_search", "top_k": 3},
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.query, "What is machine learning?")
+        self.assertEqual(len(response.records), 2)
+        self.assertEqual(response.total, 2)
+        self.assertEqual(response.search_time, 0.123)
+        self.assertEqual(response.retrieval_model["method"], "semantic_search")
+
+    def test_dataset_template_response(self):
+        """Test DatasetTemplateResponse model."""
+        response = DatasetTemplateResponse(
+            success=True,
+            template_name="customer_support",
+            display_name="Customer Support",
+            description="Template for customer support knowledge base",
+            category="support",
+            icon="🎧",
+            config_schema={"fields": [{"name": "category", "type": "string"}]},
+        )
+        self.assertTrue(response.success)
+        self.assertEqual(response.template_name, "customer_support")
+        self.assertEqual(response.display_name, "Customer Support")
+        self.assertEqual(response.description, "Template for customer support knowledge base")
+        self.assertEqual(response.category, "support")
+        self.assertEqual(response.icon, "🎧")
+        self.assertEqual(response.config_schema["fields"][0]["name"], "category")
+
+
+if __name__ == "__main__":
+    unittest.main()

sdks/python-client/tests/test_retry_and_error_handling.py

@@ -0,0 +1,313 @@
+"""Unit tests for retry mechanism and error handling."""
+
+import unittest
+from unittest.mock import Mock, patch, MagicMock
+import httpx
+from dify_client.client import DifyClient
+from dify_client.exceptions import (
+    APIError,
+    AuthenticationError,
+    RateLimitError,
+    ValidationError,
+    NetworkError,
+    TimeoutError,
+    FileUploadError,
+)
+
+
+class TestRetryMechanism(unittest.TestCase):
+    """Test cases for retry mechanism."""
+
+    def setUp(self):
+        self.api_key = "test_api_key"
+        self.base_url = "https://api.dify.ai/v1"
+        self.client = DifyClient(
+            api_key=self.api_key,
+            base_url=self.base_url,
+            max_retries=3,
+            retry_delay=0.1,  # Short delay for tests
+            enable_logging=False,
+        )
+
+    @patch("httpx.Client.request")
+    def test_successful_request_no_retry(self, mock_request):
+        """Test that successful requests don't trigger retries."""
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.content = b'{"success": true}'
+        mock_request.return_value = mock_response
+
+        response = self.client._send_request("GET", "/test")
+
+        self.assertEqual(response, mock_response)
+        self.assertEqual(mock_request.call_count, 1)
+
+    @patch("httpx.Client.request")
+    @patch("time.sleep")
+    def test_retry_on_network_error(self, mock_sleep, mock_request):
+        """Test retry on network errors."""
+        # First two calls raise network error, third succeeds
+        mock_request.side_effect = [
+            httpx.NetworkError("Connection failed"),
+            httpx.NetworkError("Connection failed"),
+            Mock(status_code=200, content=b'{"success": true}'),
+        ]
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.content = b'{"success": true}'
+
+        response = self.client._send_request("GET", "/test")
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(mock_request.call_count, 3)
+        self.assertEqual(mock_sleep.call_count, 2)
+
+    @patch("httpx.Client.request")
+    @patch("time.sleep")
+    def test_retry_on_timeout_error(self, mock_sleep, mock_request):
+        """Test retry on timeout errors."""
+        mock_request.side_effect = [
+            httpx.TimeoutException("Request timed out"),
+            httpx.TimeoutException("Request timed out"),
+            Mock(status_code=200, content=b'{"success": true}'),
+        ]
+
+        response = self.client._send_request("GET", "/test")
+
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(mock_request.call_count, 3)
+        self.assertEqual(mock_sleep.call_count, 2)
+
+    @patch("httpx.Client.request")
+    @patch("time.sleep")
+    def test_max_retries_exceeded(self, mock_sleep, mock_request):
+        """Test behavior when max retries are exceeded."""
+        mock_request.side_effect = httpx.NetworkError("Persistent network error")
+
+        with self.assertRaises(NetworkError):
+            self.client._send_request("GET", "/test")
+
+        self.assertEqual(mock_request.call_count, 4)  # 1 initial + 3 retries
+        self.assertEqual(mock_sleep.call_count, 3)
+
+    @patch("httpx.Client.request")
+    def test_no_retry_on_client_error(self, mock_request):
+        """Test that client errors (4xx) don't trigger retries."""
+        mock_response = Mock()
+        mock_response.status_code = 401
+        mock_response.json.return_value = {"message": "Unauthorized"}
+        mock_request.return_value = mock_response
+
+        with self.assertRaises(AuthenticationError):
+            self.client._send_request("GET", "/test")
+
+        self.assertEqual(mock_request.call_count, 1)
+
+    @patch("httpx.Client.request")
+    def test_retry_on_server_error(self, mock_request):
+        """Test that server errors (5xx) don't retry - they raise APIError immediately."""
+        mock_response_500 = Mock()
+        mock_response_500.status_code = 500
+        mock_response_500.json.return_value = {"message": "Internal server error"}
+
+        mock_request.return_value = mock_response_500
+
+        with self.assertRaises(APIError) as context:
+            self.client._send_request("GET", "/test")
+
+        self.assertEqual(str(context.exception), "Internal server error")
+        self.assertEqual(context.exception.status_code, 500)
+        # Should not retry server errors
+        self.assertEqual(mock_request.call_count, 1)
+
+    @patch("httpx.Client.request")
+    def test_exponential_backoff(self, mock_request):
+        """Test exponential backoff timing."""
+        mock_request.side_effect = [
+            httpx.NetworkError("Connection failed"),
+            httpx.NetworkError("Connection failed"),
+            httpx.NetworkError("Connection failed"),
+            httpx.NetworkError("Connection failed"),  # All attempts fail
+        ]
+
+        with patch("time.sleep") as mock_sleep:
+            with self.assertRaises(NetworkError):
+                self.client._send_request("GET", "/test")
+
+            # Check exponential backoff: 0.1, 0.2, 0.4
+            expected_calls = [0.1, 0.2, 0.4]
+            actual_calls = [call[0][0] for call in mock_sleep.call_args_list]
+            self.assertEqual(actual_calls, expected_calls)
+
+
+class TestErrorHandling(unittest.TestCase):
+    """Test cases for error handling."""
+
+    def setUp(self):
+        self.client = DifyClient(api_key="test_api_key", enable_logging=False)
+
+    @patch("httpx.Client.request")
+    def test_authentication_error(self, mock_request):
+        """Test AuthenticationError handling."""
+        mock_response = Mock()
+        mock_response.status_code = 401
+        mock_response.json.return_value = {"message": "Invalid API key"}
+        mock_request.return_value = mock_response
+
+        with self.assertRaises(AuthenticationError) as context:
+            self.client._send_request("GET", "/test")
+
+        self.assertEqual(str(context.exception), "Invalid API key")
+        self.assertEqual(context.exception.status_code, 401)
+
+    @patch("httpx.Client.request")
+    def test_rate_limit_error(self, mock_request):
+        """Test RateLimitError handling."""
+        mock_response = Mock()
+        mock_response.status_code = 429
+        mock_response.json.return_value = {"message": "Rate limit exceeded"}
+        mock_response.headers = {"Retry-After": "60"}
+        mock_request.return_value = mock_response
+
+        with self.assertRaises(RateLimitError) as context:
+            self.client._send_request("GET", "/test")
+
+        self.assertEqual(str(context.exception), "Rate limit exceeded")
+        self.assertEqual(context.exception.retry_after, "60")
+
+    @patch("httpx.Client.request")
+    def test_validation_error(self, mock_request):
+        """Test ValidationError handling."""
+        mock_response = Mock()
+        mock_response.status_code = 422
+        mock_response.json.return_value = {"message": "Invalid parameters"}
+        mock_request.return_value = mock_response
+
+        with self.assertRaises(ValidationError) as context:
+            self.client._send_request("GET", "/test")
+
+        self.assertEqual(str(context.exception), "Invalid parameters")
+        self.assertEqual(context.exception.status_code, 422)
+
+    @patch("httpx.Client.request")
+    def test_api_error(self, mock_request):
+        """Test general APIError handling."""
+        mock_response = Mock()
+        mock_response.status_code = 500
+        mock_response.json.return_value = {"message": "Internal server error"}
+        mock_request.return_value = mock_response
+
+        with self.assertRaises(APIError) as context:
+            self.client._send_request("GET", "/test")
+
+        self.assertEqual(str(context.exception), "Internal server error")
+        self.assertEqual(context.exception.status_code, 500)
+
+    @patch("httpx.Client.request")
+    def test_error_response_without_json(self, mock_request):
+        """Test error handling when response doesn't contain valid JSON."""
+        mock_response = Mock()
+        mock_response.status_code = 500
+        mock_response.content = b"Internal Server Error"
+        mock_response.json.side_effect = ValueError("No JSON object could be decoded")
+        mock_request.return_value = mock_response
+
+        with self.assertRaises(APIError) as context:
+            self.client._send_request("GET", "/test")
+
+        self.assertEqual(str(context.exception), "HTTP 500")
+
+    @patch("httpx.Client.request")
+    def test_file_upload_error(self, mock_request):
+        """Test FileUploadError handling."""
+        mock_response = Mock()
+        mock_response.status_code = 400
+        mock_response.json.return_value = {"message": "File upload failed"}
+        mock_request.return_value = mock_response
+
+        with self.assertRaises(FileUploadError) as context:
+            self.client._send_request_with_files("POST", "/upload", {}, {})
+
+        self.assertEqual(str(context.exception), "File upload failed")
+        self.assertEqual(context.exception.status_code, 400)
+
+
+class TestParameterValidation(unittest.TestCase):
+    """Test cases for parameter validation."""
+
+    def setUp(self):
+        self.client = DifyClient(api_key="test_api_key", enable_logging=False)
+
+    def test_empty_string_validation(self):
+        """Test validation of empty strings."""
+        with self.assertRaises(ValidationError):
+            self.client._validate_params(empty_string="")
+
+    def test_whitespace_only_string_validation(self):
+        """Test validation of whitespace-only strings."""
+        with self.assertRaises(ValidationError):
+            self.client._validate_params(whitespace_string="   ")
+
+    def test_long_string_validation(self):
+        """Test validation of overly long strings."""
+        long_string = "a" * 10001  # Exceeds 10000 character limit
+        with self.assertRaises(ValidationError):
+            self.client._validate_params(long_string=long_string)
+
+    def test_large_list_validation(self):
+        """Test validation of overly large lists."""
+        large_list = list(range(1001))  # Exceeds 1000 item limit
+        with self.assertRaises(ValidationError):
+            self.client._validate_params(large_list=large_list)
+
+    def test_large_dict_validation(self):
+        """Test validation of overly large dictionaries."""
+        large_dict = {f"key_{i}": i for i in range(101)}  # Exceeds 100 item limit
+        with self.assertRaises(ValidationError):
+            self.client._validate_params(large_dict=large_dict)
+
+    def test_valid_parameters_pass(self):
+        """Test that valid parameters pass validation."""
+        # Should not raise any exception
+        self.client._validate_params(
+            valid_string="Hello, World!",
+            valid_list=[1, 2, 3],
+            valid_dict={"key": "value"},
+            none_value=None,
+        )
+
+    def test_message_feedback_validation(self):
+        """Test validation in message_feedback method."""
+        with self.assertRaises(ValidationError):
+            self.client.message_feedback("msg_id", "invalid_rating", "user")
+
+    def test_completion_message_validation(self):
+        """Test validation in create_completion_message method."""
+        from dify_client.client import CompletionClient
+
+        client = CompletionClient("test_api_key")
+
+        with self.assertRaises(ValidationError):
+            client.create_completion_message(
+                inputs="not_a_dict",  # Should be a dict
+                response_mode="invalid_mode",  # Should be 'blocking' or 'streaming'
+                user="test_user",
+            )
+
+    def test_chat_message_validation(self):
+        """Test validation in create_chat_message method."""
+        from dify_client.client import ChatClient
+
+        client = ChatClient("test_api_key")
+
+        with self.assertRaises(ValidationError):
+            client.create_chat_message(
+                inputs="not_a_dict",  # Should be a dict
+                query="",  # Should not be empty
+                user="test_user",
+                response_mode="invalid_mode",  # Should be 'blocking' or 'streaming'
+            )
+
+
+if __name__ == "__main__":
+    unittest.main()

sdks/python-client/uv.lock

@@ -59,7 +59,7 @@ version = "0.1.12"
 source = { editable = "." }
 dependencies = [
     { name = "aiofiles" },
-    { name = "httpx" },
+    { name = "httpx", extra = ["http2"] },
 ]
 
 [package.optional-dependencies]
@@ -71,7 +71,7 @@ dev = [
 [package.metadata]
 requires-dist = [
     { name = "aiofiles", specifier = ">=23.0.0" },
-    { name = "httpx", specifier = ">=0.27.0" },
+    { name = "httpx", extras = ["http2"], specifier = ">=0.27.0" },
     { name = "pytest", marker = "extra == 'dev'", specifier = ">=7.0.0" },
     { name = "pytest-asyncio", marker = "extra == 'dev'", specifier = ">=0.21.0" },
 ]
@@ -98,6 +98,28 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" },
 ]
 
+[[package]]
+name = "h2"
+version = "4.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "hpack" },
+    { name = "hyperframe" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/1d/17/afa56379f94ad0fe8defd37d6eb3f89a25404ffc71d4d848893d270325fc/h2-4.3.0.tar.gz", hash = "sha256:6c59efe4323fa18b47a632221a1888bd7fde6249819beda254aeca909f221bf1", size = 2152026, upload-time = "2025-08-23T18:12:19.778Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/69/b2/119f6e6dcbd96f9069ce9a2665e0146588dc9f88f29549711853645e736a/h2-4.3.0-py3-none-any.whl", hash = "sha256:c438f029a25f7945c69e0ccf0fb951dc3f73a5f6412981daee861431b70e2bdd", size = 61779, upload-time = "2025-08-23T18:12:17.779Z" },
+]
+
+[[package]]
+name = "hpack"
+version = "4.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/2c/48/71de9ed269fdae9c8057e5a4c0aa7402e8bb16f2c6e90b3aa53327b113f8/hpack-4.1.0.tar.gz", hash = "sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca", size = 51276, upload-time = "2025-01-22T21:44:58.347Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/07/c6/80c95b1b2b94682a72cbdbfb85b81ae2daffa4291fbfa1b1464502ede10d/hpack-4.1.0-py3-none-any.whl", hash = "sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496", size = 34357, upload-time = "2025-01-22T21:44:56.92Z" },
+]
+
 [[package]]
 name = "httpcore"
 version = "1.0.9"
@@ -126,6 +148,20 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload-time = "2024-12-06T15:37:21.509Z" },
 ]
 
+[package.optional-dependencies]
+http2 = [
+    { name = "h2" },
+]
+
+[[package]]
+name = "hyperframe"
+version = "6.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/02/e7/94f8232d4a74cc99514c13a9f995811485a6903d48e5d952771ef6322e30/hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08", size = 26566, upload-time = "2025-01-22T21:41:49.302Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/48/30/47d0bf6072f7252e6521f3447ccfa40b421b6824517f82854703d0f5a98b/hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5", size = 13007, upload-time = "2025-01-22T21:41:47.295Z" },
+]
+
 [[package]]
 name = "idna"
 version = "3.10"