diff --git a/en/.doctrees/agentscope.models.doctree b/en/.doctrees/agentscope.models.doctree index 89652e899..0d05c3727 100644 Binary files a/en/.doctrees/agentscope.models.doctree and b/en/.doctrees/agentscope.models.doctree differ diff --git a/en/.doctrees/agentscope.models.openai_model.doctree b/en/.doctrees/agentscope.models.openai_model.doctree index 380bfd0de..66ceb1258 100644 Binary files a/en/.doctrees/agentscope.models.openai_model.doctree and b/en/.doctrees/agentscope.models.openai_model.doctree differ diff --git a/en/.doctrees/environment.pickle b/en/.doctrees/environment.pickle index 3fcfdaaea..38f33eb79 100644 Binary files a/en/.doctrees/environment.pickle and b/en/.doctrees/environment.pickle differ diff --git a/en/.doctrees/index.doctree b/en/.doctrees/index.doctree index 50bad6864..d4d85d7db 100644 Binary files a/en/.doctrees/index.doctree and b/en/.doctrees/index.doctree differ diff --git a/en/.doctrees/tutorial/206-prompt.doctree b/en/.doctrees/tutorial/206-prompt.doctree index 4f766365e..06ceabcd4 100644 Binary files a/en/.doctrees/tutorial/206-prompt.doctree and b/en/.doctrees/tutorial/206-prompt.doctree differ diff --git a/en/_modules/agentscope/agents/user_agent.html b/en/_modules/agentscope/agents/user_agent.html index 634f8cced..b550b2b17 100644 --- a/en/_modules/agentscope/agents/user_agent.html +++ b/en/_modules/agentscope/agents/user_agent.html @@ -187,7 +187,9 @@

Source code for agentscope.agents.user_agent

# Input url of file, image, video, audio or website
         url = None
         if self.require_url:
-            url = input("URL: ")
+            url = input("URL (or Enter to skip): ")
+            if url == "":
+                url = None
 
         # Add additional keys
         msg = Msg(
diff --git a/en/_modules/agentscope/models/openai_model.html b/en/_modules/agentscope/models/openai_model.html
index a4447e4f2..82e0d1b4c 100644
--- a/en/_modules/agentscope/models/openai_model.html
+++ b/en/_modules/agentscope/models/openai_model.html
@@ -101,14 +101,14 @@ 

Source code for agentscope.models.openai_model

# -*- coding: utf-8 -*- """Model wrapper for OpenAI models""" from abc import ABC -from typing import Union, Any, List, Sequence +from typing import Union, Any, List, Sequence, Dict from loguru import logger from .model import ModelWrapperBase, ModelResponse from ..file_manager import file_manager from ..message import MessageBase -from ..utils.tools import _convert_to_str +from ..utils.tools import _convert_to_str, _to_openai_image_url try: import openai @@ -218,6 +218,9 @@

Source code for agentscope.models.openai_model

deprecated_model_type: str = "openai" + substrings_in_vision_models_names = ["gpt-4-turbo", "vision", "gpt-4o"] + """The substrings in the model names of vision models.""" + def _register_default_metrics(self) -> None: # Set monitor accordingly # TODO: set quota to the following metrics @@ -323,6 +326,77 @@

Source code for agentscope.models.openai_model

raw=response.model_dump(), ) + def _format_msg_with_url( + self, + msg: MessageBase, + ) -> Dict: + """Format a message with image urls into openai chat format. + This format method is used for gpt-4o, gpt-4-turbo, gpt-4-vision and + other vision models. + """ + # Check if the model is a vision model + if not any( + _ in self.model_name + for _ in self.substrings_in_vision_models_names + ): + logger.warning( + f"The model {self.model_name} is not a vision model. " + f"Skip the url in the message.", + ) + return { + "role": msg.role, + "name": msg.name, + "content": _convert_to_str(msg.content), + } + + # Put all urls into a list + urls = [msg.url] if isinstance(msg.url, str) else msg.url + + # Check if the url refers to an image + checked_urls = [] + for url in urls: + try: + checked_urls.append(_to_openai_image_url(url)) + except TypeError: + logger.warning( + f"The url {url} is not a valid image url for " + f"OpenAI Chat API, skipped.", + ) + + if len(checked_urls) == 0: + # If no valid image url is provided, return the normal message dict + return { + "role": msg.role, + "name": msg.name, + "content": _convert_to_str(msg.content), + } + else: + # otherwise, use the vision format message + returned_msg = { + "role": msg.role, + "name": msg.name, + "content": [ + { + "type": "text", + "text": _convert_to_str(msg.content), + }, + ], + } + + image_dicts = [ + { + "type": "image_url", + "image_url": { + "url": _, + }, + } + for _ in checked_urls + ] + + returned_msg["content"].extend(image_dicts) + + return returned_msg +

[docs] def format( @@ -343,19 +417,22 @@

Source code for agentscope.models.openai_model

The formatted messages in the format that OpenAI Chat API required. """ - messages = [] for arg in args: if arg is None: continue if isinstance(arg, MessageBase): - messages.append( - { - "role": arg.role, - "name": arg.name, - "content": _convert_to_str(arg.content), - }, - ) + if arg.url is not None: + messages.append(self._format_msg_with_url(arg)) + else: + messages.append( + { + "role": arg.role, + "name": arg.name, + "content": _convert_to_str(arg.content), + }, + ) + elif isinstance(arg, list): messages.extend(self.format(*arg)) else: diff --git a/en/_modules/agentscope/utils/tools.html b/en/_modules/agentscope/utils/tools.html index bacbbbc58..e8fe2f689 100644 --- a/en/_modules/agentscope/utils/tools.html +++ b/en/_modules/agentscope/utils/tools.html @@ -102,6 +102,7 @@

Source code for agentscope.utils.tools

 import base64
 import datetime
 import json
+import os.path
 import secrets
 import string
 from typing import Any, Literal, List
@@ -234,7 +235,7 @@ 

Source code for agentscope.utils.tools

     """
     # See https://platform.openai.com/docs/guides/vision for details of
     # support image extensions.
-    image_extensions = (
+    support_image_extensions = (
         ".png",
         ".jpg",
         ".jpeg",
@@ -244,16 +245,17 @@ 

Source code for agentscope.utils.tools

 
     parsed_url = urlparse(url)
 
-    # Checking for HTTP(S) image links
-    if parsed_url.scheme in ["http", "https"]:
-        lower_path = parsed_url.path.lower()
-        if lower_path.endswith(image_extensions):
+    lower_url = url.lower()
+
+    # Web url
+    if parsed_url.scheme != "":
+        if any(lower_url.endswith(_) for _ in support_image_extensions):
             return url
 
     # Check if it is a local file
-    elif parsed_url.scheme == "file" or not parsed_url.scheme:
-        if parsed_url.path.lower().endswith(image_extensions):
-            with open(parsed_url.path, "rb") as image_file:
+    elif os.path.exists(url) and os.path.isfile(url):
+        if any(lower_url.endswith(_) for _ in support_image_extensions):
+            with open(url, "rb") as image_file:
                 base64_image = base64.b64encode(image_file.read()).decode(
                     "utf-8",
                 )
@@ -261,7 +263,7 @@ 

Source code for agentscope.utils.tools

             mime_type = f"image/{extension}"
             return f"data:{mime_type};base64,{base64_image}"
 
-    raise TypeError(f"{url} should be end with {image_extensions}.")
+    raise TypeError(f"{url} should be end with {support_image_extensions}.")
 
 
 def _download_file(url: str, path_file: str, max_retries: int = 3) -> bool:
diff --git a/en/_sources/tutorial/206-prompt.md.txt b/en/_sources/tutorial/206-prompt.md.txt
index f99c86024..e30e8abd8 100644
--- a/en/_sources/tutorial/206-prompt.md.txt
+++ b/en/_sources/tutorial/206-prompt.md.txt
@@ -64,6 +64,8 @@ dictionaries as input, where the dictionary must obey the following rules
 
 #### Prompt Strategy
 
+##### Non-Vision Models
+
 In OpenAI Chat API, the `name` field enables the model to distinguish
 different speakers in the conversation. Therefore, the strategy of `format`
 function in `OpenAIChatWrapper` is simple:
@@ -100,6 +102,75 @@ print(prompt)
 ]
 ```
 
+##### Vision Models
+
+For vision models (gpt-4-turbo, gpt-4o, ...), if the input message contains image urls, the generated `content` field will be a list of dicts, which contains text and image urls.
+
+Specifically, the web image urls will be pass to OpenAI Chat API directly, while the local image urls will be converted to base64 format. More details please refer to the [official guidance](https://platform.openai.com/docs/guides/vision).
+
+Note the invalid image urls (e.g. `/Users/xxx/test.mp3`) will be ignored.
+
+```python
+from agentscope.models import OpenAIChatWrapper
+from agentscope.message import Msg
+
+model = OpenAIChatWrapper(
+    config_name="", # empty since we directly initialize the model wrapper
+    model_name="gpt-4o",
+)
+
+prompt = model.format(
+   Msg("system", "You're a helpful assistant", role="system"),   # Msg object
+   [                                                             # a list of Msg objects
+      Msg(name="user", content="Describe this image", role="user", url="https://xxx.png"),
+      Msg(name="user", content="And these images", role="user", url=["/Users/xxx/test.png", "/Users/xxx/test.mp3"]),
+   ],
+)
+print(prompt)
+```
+
+```python
+[
+    {
+        "role": "system",
+        "name": "system",
+        "content": "You are a helpful assistant"
+    },
+    {
+        "role": "user",
+        "name": "user",
+        "content": [
+            {
+                "type": "text",
+                "text": "Describe this image"
+            },
+            {
+                "type": "image_url",
+                "image_url": {
+                    "url": "https://xxx.png"
+                }
+            },
+        ]
+    },
+    {
+        "role": "user",
+        "name": "user",
+        "content": [
+            {
+                "type": "text",
+                "text": "And these images"
+            },
+            {
+                "type": "image_url",
+                "image_url": {
+                    "url": "data:image/png;base64,YWJjZGVm..." # for /Users/xxx/test.png
+                }
+            },
+        ]
+    },
+]
+```
+
 ### DashScopeChatWrapper
 
 `DashScopeChatWrapper` encapsulates the DashScope chat API, which takes a list of messages as input. The message must obey the following rules (updated in 2024/03/22):
diff --git a/en/agentscope.models.html b/en/agentscope.models.html
index 235581013..25aa84a50 100644
--- a/en/agentscope.models.html
+++ b/en/agentscope.models.html
@@ -382,6 +382,12 @@
 deprecated_model_type: str = 'openai'
 
+
+
+substrings_in_vision_models_names = ['gpt-4-turbo', 'vision', 'gpt-4o']
+

The substrings in the model names of vision models.

+
+
format(*args: MessageBase | Sequence[MessageBase]) List[dict][source]
diff --git a/en/agentscope.models.openai_model.html b/en/agentscope.models.openai_model.html index 470f17804..b74f5044c 100644 --- a/en/agentscope.models.openai_model.html +++ b/en/agentscope.models.openai_model.html @@ -152,6 +152,12 @@ deprecated_model_type: str = 'openai'
+
+
+substrings_in_vision_models_names = ['gpt-4-turbo', 'vision', 'gpt-4o']
+

The substrings in the model names of vision models.

+
+
format(*args: MessageBase | Sequence[MessageBase]) List[dict][source]
diff --git a/en/genindex.html b/en/genindex.html index b10345504..0b15b59a9 100644 --- a/en/genindex.html +++ b/en/genindex.html @@ -2908,6 +2908,12 @@

S

  • STRING (agentscope.prompt.PromptType attribute)
  • +
  • substrings_in_vision_models_names (agentscope.models.openai_model.OpenAIChatWrapper attribute) + +
  • SUCCESS (agentscope.service.service_status.ServiceExecStatus attribute)
      diff --git a/en/objects.inv b/en/objects.inv index 540c993ed..a0bb8f91e 100644 Binary files a/en/objects.inv and b/en/objects.inv differ diff --git a/en/searchindex.js b/en/searchindex.js index 0a0ea0e1f..b896e1ebb 100644 --- a/en/searchindex.js +++ b/en/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"About AgentScope": [[86, "about-agentscope"]], "About Implementation": [[98, "about-implementation"]], "About Memory": [[95, "about-memory"]], "About Message": [[95, "about-message"]], "About PromptEngine Class": [[96, "about-promptengine-class"]], "About Service Toolkit": [[94, "about-service-toolkit"]], "About ServiceResponse": [[94, "about-serviceresponse"]], "Actor Model": [[98, "actor-model"]], "Adding and Deleting Participants": [[92, "adding-and-deleting-participants"]], "Advanced Exploration": [[84, "advanced-exploration"], [101, "advanced-exploration"], [103, "advanced-exploration"]], "Advanced Usage": [[97, "advanced-usage"]], "Advanced Usage of to_dist": [[98, "advanced-usage-of-to-dist"]], "Agent": [[86, "agent"]], "Agent Server": [[98, "agent-server"]], "AgentScope API Reference": [[84, null]], "AgentScope Code Structure": [[86, "agentscope-code-structure"]], "AgentScope Documentation": [[84, "agentscope-documentation"]], "Basic Parameters": [[93, "basic-parameters"]], "Basic Usage": [[97, "basic-usage"]], "Broadcast message in MsgHub": [[92, "broadcast-message-in-msghub"]], "Build Model Service from Scratch": [[93, "build-model-service-from-scratch"]], "Built-in Prompt Strategies": [[96, "built-in-prompt-strategies"]], "Built-in Service Functions": [[94, "built-in-service-functions"]], "Category": [[92, "category"]], "Challenges in Prompt Construction": [[96, "challenges-in-prompt-construction"]], "Child Process Mode": [[98, "child-process-mode"]], "Code Review": [[100, "code-review"]], "Commit Your Changes": [[100, "commit-your-changes"]], "Configuration": [[93, "configuration"]], "Configuration Format": [[93, "configuration-format"]], "Contribute to AgentScope": [[100, "contribute-to-agentscope"]], "Contribute to Codebase": [[100, "contribute-to-codebase"]], "Crafting Your First Application": [[89, "crafting-your-first-application"]], "Creat Your Own Model Wrapper": [[93, "creat-your-own-model-wrapper"]], "Create a New Branch": [[100, "create-a-new-branch"]], "Create a Virtual Environment": [[87, "create-a-virtual-environment"]], "Create new Service Function": [[94, "create-new-service-function"]], "Creating a MsgHub": [[92, "creating-a-msghub"]], "Customizing Agents from the AgentPool": [[91, "customizing-agents-from-the-agentpool"]], "Customizing Your Own Agent": [[91, "customizing-your-own-agent"]], "DashScope API": [[93, "dashscope-api"]], "DashScopeChatWrapper": [[96, "dashscopechatwrapper"]], "DashScopeMultiModalWrapper": [[96, "dashscopemultimodalwrapper"]], "Detailed Parameters": [[93, "detailed-parameters"]], "DialogAgent": [[91, "dialogagent"]], "DingTalk (\u9489\u9489)": [[99, "dingtalk"]], "Discord": [[99, "discord"]], "Distribution": [[98, "distribution"]], "Example": [[94, "example"]], "Exploring the AgentPool": [[91, "exploring-the-agentpool"]], "ForLoopPipeline": [[92, "forlooppipeline"]], "Fork and Clone the Repository": [[100, "fork-and-clone-the-repository"]], "Formatting Prompts in Dynamic Way": [[96, "formatting-prompts-in-dynamic-way"]], "Gemini API": [[93, "gemini-api"]], "GeminiChatWrapper": [[96, "geminichatwrapper"]], "Get Involved": [[102, "get-involved"]], "Get a Monitor Instance": [[97, "get-a-monitor-instance"]], "Getting Involved": [[84, "getting-involved"], [103, "getting-involved"]], "Getting Started": [[84, "getting-started"], [89, "getting-started"], [103, "getting-started"], [104, "getting-started"]], "GitHub": [[99, "github"]], "Handling Quotas": [[97, "handling-quotas"]], "How is AgentScope designed?": [[86, "how-is-agentscope-designed"]], "How to use": [[94, "how-to-use"]], "How to use Service Functions": [[94, "how-to-use-service-functions"]], "IfElsePipeline": [[92, "ifelsepipeline"]], "Implement Werewolf Pipeline": [[89, "implement-werewolf-pipeline"]], "Independent Process Mode": [[98, "independent-process-mode"]], "Indices and tables": [[84, "indices-and-tables"]], "Initialization": [[96, "initialization"]], "Install from Source": [[87, "install-from-source"]], "Install with Pip": [[87, "install-with-pip"]], "Installation": [[87, "installation"]], "Installing AgentScope": [[87, "installing-agentscope"]], "Integrating logging with WebUI": [[90, "integrating-logging-with-webui"]], "Joining AgentScope Community": [[99, "joining-agentscope-community"]], "Joining Prompt Components": [[96, "joining-prompt-components"]], "Key Concepts": [[86, "key-concepts"]], "Key Features of PromptEngine": [[96, "key-features-of-promptengine"]], "Leverage Pipeline and MsgHub": [[89, "leverage-pipeline-and-msghub"]], "LiteLLM Chat API": [[93, "litellm-chat-api"]], "Logging": [[90, "logging"]], "Logging a Chat Message": [[90, "logging-a-chat-message"]], "Logging a System information": [[90, "logging-a-system-information"]], "Logging and WebUI": [[90, "logging-and-webui"]], "Making Changes": [[100, "making-changes"]], "Memory": [[95, "memory"]], "MemoryBase Class": [[95, "memorybase-class"]], "Message": [[86, "message"]], "MessageBase Class": [[95, "messagebase-class"]], "Model": [[93, "model"]], "Monitor": [[97, "monitor"]], "Msg Class": [[95, "msg-class"]], "MsgHub": [[92, "msghub"]], "Next step": [[89, "next-step"]], "Note": [[90, "note"]], "Ollama API": [[93, "ollama-api"]], "OllamaChatWrapper": [[96, "ollamachatwrapper"]], "OllamaGenerationWrapper": [[96, "ollamagenerationwrapper"]], "OpenAI API": [[93, "openai-api"]], "OpenAIChatWrapper": [[96, "openaichatwrapper"]], "Output List Type Prompt": [[96, "output-list-type-prompt"]], "Output String Type Prompt": [[96, "output-string-type-prompt"]], "Pipeline Combination": [[92, "pipeline-combination"]], "Pipeline and MsgHub": [[92, "pipeline-and-msghub"]], "Pipelines": [[92, "pipelines"]], "PlaceHolder": [[98, "placeholder"]], "Post Request API": [[93, "post-request-api"]], "Post Request Chat API": [[93, "post-request-chat-api"]], "Prompt Engine (Will be deprecated in the future)": [[96, "prompt-engine-will-be-deprecated-in-the-future"]], "Prompt Engineering": [[96, "prompt-engineering"]], "Prompt Strategy": [[96, "prompt-strategy"], [96, "id1"], [96, "id2"], [96, "id3"], [96, "id4"], [96, "id5"], [96, "id6"]], "Quick Running": [[90, "quick-running"]], "Quick Start": [[88, "quick-start"]], "Register a budget for an API": [[97, "register-a-budget-for-an-api"]], "Registering API Usage Metrics": [[97, "registering-api-usage-metrics"]], "Report Bugs and Ask For New Features?": [[100, "report-bugs-and-ask-for-new-features"]], "Resetting and Removing Metrics": [[97, "resetting-and-removing-metrics"]], "Retrieving Metrics": [[97, "retrieving-metrics"]], "SequentialPipeline": [[92, "sequentialpipeline"]], "Service": [[86, "service"], [94, "service"]], "Setting Up the Logger": [[90, "setting-up-the-logger"]], "Step 1: Convert your agent to its distributed version": [[98, "step-1-convert-your-agent-to-its-distributed-version"]], "Step 1: Prepare Model API and Set Model Configs": [[89, "step-1-prepare-model-api-and-set-model-configs"]], "Step 2: Define the Roles of Each Agent": [[89, "step-2-define-the-roles-of-each-agent"]], "Step 2: Orchestrate Distributed Application Flow": [[98, "step-2-orchestrate-distributed-application-flow"]], "Step 3: Initialize AgentScope and the Agents": [[89, "step-3-initialize-agentscope-and-the-agents"]], "Step 4: Set Up the Game Logic": [[89, "step-4-set-up-the-game-logic"]], "Step 5: Run the Application": [[89, "step-5-run-the-application"]], "Step1: Prepare Model": [[88, "step1-prepare-model"]], "Step2: Create Agents": [[88, "step2-create-agents"]], "Step3: Agent Conversation": [[88, "step3-agent-conversation"]], "Submit a Pull Request": [[100, "submit-a-pull-request"]], "Supported Models": [[93, "supported-models"]], "SwitchPipeline": [[92, "switchpipeline"]], "TemporaryMemory": [[95, "temporarymemory"]], "Tutorial Navigator": [[84, "tutorial-navigator"], [103, "tutorial-navigator"]], "Understanding AgentBase": [[91, "understanding-agentbase"]], "Understanding the Monitor in AgentScope": [[97, "understanding-the-monitor-in-agentscope"]], "Updating Metrics": [[97, "updating-metrics"]], "Usage": [[92, "usage"], [92, "id1"], [98, "usage"]], "UserAgent": [[91, "useragent"]], "Using Conda": [[87, "using-conda"]], "Using Virtualenv": [[87, "using-virtualenv"]], "Using prefix to Distinguish Metrics": [[97, "using-prefix-to-distinguish-metrics"]], "Using the Monitor": [[97, "using-the-monitor"]], "Welcome to AgentScope Tutorial Hub": [[84, "welcome-to-agentscope-tutorial-hub"], [103, "welcome-to-agentscope-tutorial-hub"]], "What is AgentScope?": [[86, "what-is-agentscope"]], "WhileLoopPipeline": [[92, "whilelooppipeline"]], "Why AgentScope?": [[86, "why-agentscope"]], "Workflow": [[86, "workflow"]], "ZhipuAI API": [[93, "zhipuai-api"]], "ZhipuAIChatWrapper": [[96, "zhipuaichatwrapper"]], "agentscope": [[0, "module-agentscope"], [85, "agentscope"]], "agentscope.agents": [[1, "module-agentscope.agents"]], "agentscope.agents.agent": [[2, "module-agentscope.agents.agent"]], "agentscope.agents.dialog_agent": [[3, "module-agentscope.agents.dialog_agent"]], "agentscope.agents.dict_dialog_agent": [[4, "module-agentscope.agents.dict_dialog_agent"]], "agentscope.agents.operator": [[5, "module-agentscope.agents.operator"]], "agentscope.agents.react_agent": [[6, "module-agentscope.agents.react_agent"]], "agentscope.agents.rpc_agent": [[7, "module-agentscope.agents.rpc_agent"]], "agentscope.agents.text_to_image_agent": [[8, "module-agentscope.agents.text_to_image_agent"]], "agentscope.agents.user_agent": [[9, "module-agentscope.agents.user_agent"]], "agentscope.constants": [[10, "module-agentscope.constants"]], "agentscope.exception": [[11, 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"format_instruction (agentscope.parsers.json_object_parser.markdownjsonobjectparser property)": [[31, "agentscope.parsers.json_object_parser.MarkdownJsonObjectParser.format_instruction", false]], "format_instruction (agentscope.parsers.markdowncodeblockparser attribute)": [[29, "agentscope.parsers.MarkdownCodeBlockParser.format_instruction", false]], "format_instruction (agentscope.parsers.markdownjsonobjectparser property)": [[29, "agentscope.parsers.MarkdownJsonObjectParser.format_instruction", false]], "format_instruction (agentscope.parsers.multitaggedcontentparser attribute)": [[29, "agentscope.parsers.MultiTaggedContentParser.format_instruction", false]], "format_instruction (agentscope.parsers.tagged_content_parser.multitaggedcontentparser attribute)": [[33, "agentscope.parsers.tagged_content_parser.MultiTaggedContentParser.format_instruction", false]], "functioncallerror": [[11, "agentscope.exception.FunctionCallError", false]], "functioncallformaterror": [[11, "agentscope.exception.FunctionCallFormatError", false]], "functionnotfounderror": [[11, "agentscope.exception.FunctionNotFoundError", false]], "geminichatwrapper (class in agentscope.models)": [[17, "agentscope.models.GeminiChatWrapper", false]], "geminichatwrapper (class in agentscope.models.gemini_model)": [[20, "agentscope.models.gemini_model.GeminiChatWrapper", false]], "geminiembeddingwrapper (class in agentscope.models)": [[17, "agentscope.models.GeminiEmbeddingWrapper", false]], "geminiembeddingwrapper (class in agentscope.models.gemini_model)": [[20, "agentscope.models.gemini_model.GeminiEmbeddingWrapper", false]], "geminiwrapperbase (class in agentscope.models.gemini_model)": [[20, "agentscope.models.gemini_model.GeminiWrapperBase", false]], "generate_agent_id() (agentscope.agents.agent.agentbase class method)": [[2, "agentscope.agents.agent.AgentBase.generate_agent_id", false]], "generate_agent_id() (agentscope.agents.agentbase class method)": [[1, "agentscope.agents.AgentBase.generate_agent_id", false]], "generate_image_from_name() (in module agentscope.web.studio.utils)": [[78, "agentscope.web.studio.utils.generate_image_from_name", false]], "generation_method (agentscope.models.gemini_model.geminichatwrapper attribute)": [[20, "agentscope.models.gemini_model.GeminiChatWrapper.generation_method", false]], "generation_method (agentscope.models.geminichatwrapper attribute)": [[17, "agentscope.models.GeminiChatWrapper.generation_method", false]], "get() (agentscope.service.service_toolkit.servicefactory class method)": [[55, "agentscope.service.service_toolkit.ServiceFactory.get", false]], "get() (agentscope.service.service_toolkit.servicetoolkit class method)": [[55, "agentscope.service.service_toolkit.ServiceToolkit.get", false]], "get() (agentscope.service.servicefactory class method)": [[42, "agentscope.service.ServiceFactory.get", false]], "get() (agentscope.service.servicetoolkit class method)": [[42, "agentscope.service.ServiceToolkit.get", false]], "get_agent_class() (agentscope.agents.agent.agentbase class method)": [[2, "agentscope.agents.agent.AgentBase.get_agent_class", false]], "get_agent_class() (agentscope.agents.agentbase class method)": [[1, "agentscope.agents.AgentBase.get_agent_class", false]], "get_all_agents() (in module agentscope.web.workstation.workflow_node)": [[82, "agentscope.web.workstation.workflow_node.get_all_agents", false]], "get_chat() (in module agentscope.web.studio.studio)": [[77, "agentscope.web.studio.studio.get_chat", false]], "get_chat_msg() (in module agentscope.web.studio.utils)": [[78, "agentscope.web.studio.utils.get_chat_msg", false]], "get_current_directory() (in module agentscope.service)": [[42, "agentscope.service.get_current_directory", false]], "get_current_directory() (in module agentscope.service.file.common)": [[47, "agentscope.service.file.common.get_current_directory", false]], "get_embeddings() 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module agentscope.service.web.search)": [[66, "agentscope.service.web.search.google_search", false]], "googlesearchservicenode (class in agentscope.web.workstation.workflow_node)": [[82, "agentscope.web.workstation.workflow_node.GoogleSearchServiceNode", false]], "ifelsepipeline (class in agentscope.pipelines)": [[34, "agentscope.pipelines.IfElsePipeline", false]], "ifelsepipeline (class in agentscope.pipelines.pipeline)": [[36, "agentscope.pipelines.pipeline.IfElsePipeline", false]], "ifelsepipeline() (in module agentscope.pipelines)": [[34, "agentscope.pipelines.ifelsepipeline", false]], "ifelsepipeline() (in module agentscope.pipelines.functional)": [[35, "agentscope.pipelines.functional.ifelsepipeline", false]], "ifelsepipelinenode (class in agentscope.web.workstation.workflow_node)": [[82, "agentscope.web.workstation.workflow_node.IfElsePipelineNode", false]], "image_urls (agentscope.models.modelresponse attribute)": [[17, "agentscope.models.ModelResponse.image_urls", false]], 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"agentscope.models.ollama_model.OllamaWrapperBase.keep_alive", false]], "kwarg_converter() (in module agentscope.web.workstation.workflow_utils)": [[83, "agentscope.web.workstation.workflow_utils.kwarg_converter", false]], "launch() (agentscope.agents.rpc_agent.rpcagentserverlauncher method)": [[7, "agentscope.agents.rpc_agent.RpcAgentServerLauncher.launch", false]], "launch() (agentscope.agents.rpcagentserverlauncher method)": [[1, "agentscope.agents.RpcAgentServerLauncher.launch", false]], "list (agentscope.prompt.prompttype attribute)": [[37, "agentscope.prompt.PromptType.LIST", false]], "list_directory_content() (in module agentscope.service)": [[42, "agentscope.service.list_directory_content", false]], "list_directory_content() (in module agentscope.service.file.common)": [[47, "agentscope.service.file.common.list_directory_content", false]], "list_models() (agentscope.models.gemini_model.geminiwrapperbase method)": [[20, "agentscope.models.gemini_model.GeminiWrapperBase.list_models", false]], "litellmchatwrapper (class in agentscope.models)": [[17, "agentscope.models.LiteLLMChatWrapper", false]], "litellmchatwrapper (class in agentscope.models.litellm_model)": [[21, "agentscope.models.litellm_model.LiteLLMChatWrapper", false]], "litellmwrapperbase (class in agentscope.models.litellm_model)": [[21, "agentscope.models.litellm_model.LiteLLMWrapperBase", false]], "load() (agentscope.memory.memory.memorybase method)": [[14, "agentscope.memory.memory.MemoryBase.load", false]], "load() (agentscope.memory.memorybase method)": [[13, "agentscope.memory.MemoryBase.load", false]], "load() (agentscope.memory.temporary_memory.temporarymemory method)": [[15, "agentscope.memory.temporary_memory.TemporaryMemory.load", false]], "load() (agentscope.memory.temporarymemory method)": [[13, "agentscope.memory.TemporaryMemory.load", false]], "load_config() (in module agentscope.web.workstation.workflow)": [[80, "agentscope.web.workstation.workflow.load_config", false]], "load_from_config() (agentscope.agents.agent.agentbase method)": [[2, "agentscope.agents.agent.AgentBase.load_from_config", false]], "load_from_config() (agentscope.agents.agentbase method)": [[1, "agentscope.agents.AgentBase.load_from_config", false]], "load_memory() (agentscope.agents.agent.agentbase method)": [[2, "agentscope.agents.agent.AgentBase.load_memory", false]], "load_memory() (agentscope.agents.agentbase method)": [[1, "agentscope.agents.AgentBase.load_memory", false]], "load_model_by_config_name() (in module agentscope.models)": [[17, "agentscope.models.load_model_by_config_name", false]], "load_web() (in module agentscope.service)": [[42, "agentscope.service.load_web", false]], "load_web() (in module agentscope.service.web.web_digest)": [[67, "agentscope.service.web.web_digest.load_web", false]], "local_attrs (agentscope.message.placeholdermessage attribute)": [[16, 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"post_model": 25, "prefix": 97, "prepar": [88, 89], "process": 98, "prompt": [37, 96], "promptengin": 96, "pull": 100, "quick": [88, 90], "quota": 97, "react_ag": 6, "refer": 84, "regist": 97, "remov": 97, "report": 100, "repositori": 100, "request": [93, 100], "reset": 97, "respons": 26, "retriev": [50, 51, 52, 97], "retrieval_from_list": 51, "review": 100, "role": 89, "rpc": [38, 39, 40, 41], "rpc_agent": 7, "rpc_agent_cli": 39, "rpc_agent_pb2": 40, "rpc_agent_pb2_grpc": 41, "run": [89, 90], "scratch": 93, "search": 66, "sequentialpipelin": 92, "server": 98, "servic": [42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 86, 93, 94], "service_respons": 53, "service_statu": 54, "service_toolkit": 55, "servicerespons": 94, "set": [89, 90], "similar": 52, "sourc": 87, "sql_queri": [56, 57, 58, 59], "sqlite": 59, "start": [84, 88, 89, 103, 104], "step": [89, 98], "step1": 88, "step2": 88, "step3": 88, "strategi": 96, "string": 96, "structur": 86, "studio": [75, 76, 77, 78], "submit": 100, "summar": 61, "support": 93, "switchpipelin": 92, "system": 90, "tabl": 84, "tagged_content_pars": 33, "temporary_memori": 15, "temporarymemori": 95, "text": 49, "text_process": [60, 61], "text_to_image_ag": 8, "to_dist": 98, "token_util": 72, "tool": 73, "toolkit": 94, "tutori": [84, 103], "type": 96, "understand": [91, 97], "up": [89, 90], "updat": 97, "us": [87, 94, 97], "usag": [92, 97, 98], "user_ag": 9, "userag": 91, "util": [68, 69, 70, 71, 72, 73, 78], "version": 98, "virtual": 87, "virtualenv": 87, "vision": 96, "wai": 96, "web": [62, 63, 64, 65, 66, 67, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83], "web_digest": 67, "webui": 90, "welcom": [84, 103], "werewolf": 89, "what": 86, "whilelooppipelin": 92, "why": 86, "workflow": [80, 86], "workflow_dag": 81, "workflow_nod": 82, "workflow_util": 83, "workstat": [79, 80, 81, 82, 83], "wrapper": 93, "your": [89, 91, 93, 98, 100], "zhipu_model": 27, "zhipuai": 93, "zhipuaichatwrapp": 96, "\u9489\u9489": 99}}) \ No newline at end of file diff --git a/en/tutorial/206-prompt.html b/en/tutorial/206-prompt.html index dffe96781..1f8ea1507 100644 --- a/en/tutorial/206-prompt.html +++ b/en/tutorial/206-prompt.html @@ -167,6 +167,8 @@

      OpenAIChatWrapper

      Prompt Strategy

      +
      +
      Non-Vision Models

      In OpenAI Chat API, the name field enables the model to distinguish different speakers in the conversation. Therefore, the strategy of format function in OpenAIChatWrapper is simple:

      @@ -201,6 +203,72 @@

      Prompt Strategy +
      Vision Models
      +

      For vision models (gpt-4-turbo, gpt-4o, …), if the input message contains image urls, the generated content field will be a list of dicts, which contains text and image urls.

      +

      Specifically, the web image urls will be pass to OpenAI Chat API directly, while the local image urls will be converted to base64 format. More details please refer to the official guidance.

      +

      Note the invalid image urls (e.g. /Users/xxx/test.mp3) will be ignored.

      +
      from agentscope.models import OpenAIChatWrapper
      +from agentscope.message import Msg
      +
      +model = OpenAIChatWrapper(
      +    config_name="", # empty since we directly initialize the model wrapper
      +    model_name="gpt-4o",
      +)
      +
      +prompt = model.format(
      +   Msg("system", "You're a helpful assistant", role="system"),   # Msg object
      +   [                                                             # a list of Msg objects
      +      Msg(name="user", content="Describe this image", role="user", url="https://xxx.png"),
      +      Msg(name="user", content="And these images", role="user", url=["/Users/xxx/test.png", "/Users/xxx/test.mp3"]),
      +   ],
      +)
      +print(prompt)
      +
      +
      +
      [
      +    {
      +        "role": "system",
      +        "name": "system",
      +        "content": "You are a helpful assistant"
      +    },
      +    {
      +        "role": "user",
      +        "name": "user",
      +        "content": [
      +            {
      +                "type": "text",
      +                "text": "Describe this image"
      +            },
      +            {
      +                "type": "image_url",
      +                "image_url": {
      +                    "url": "https://xxx.png"
      +                }
      +            },
      +        ]
      +    },
      +    {
      +        "role": "user",
      +        "name": "user",
      +        "content": [
      +            {
      +                "type": "text",
      +                "text": "And these images"
      +            },
      +            {
      +                "type": "image_url",
      +                "image_url": {
      +                    "url": "data:image/png;base64,YWJjZGVm..." # for /Users/xxx/test.png
      +                }
      +            },
      +        ]
      +    },
      +]
      +
      +
      +

      +

      DashScopeChatWrapper

      diff --git a/zh_CN/.doctrees/agentscope.models.doctree b/zh_CN/.doctrees/agentscope.models.doctree index 7981b2575..7e23bd7bf 100644 Binary files a/zh_CN/.doctrees/agentscope.models.doctree and b/zh_CN/.doctrees/agentscope.models.doctree differ diff --git a/zh_CN/.doctrees/agentscope.models.openai_model.doctree b/zh_CN/.doctrees/agentscope.models.openai_model.doctree index 42b2246da..84d87b0d5 100644 Binary files a/zh_CN/.doctrees/agentscope.models.openai_model.doctree and b/zh_CN/.doctrees/agentscope.models.openai_model.doctree differ diff --git a/zh_CN/.doctrees/environment.pickle b/zh_CN/.doctrees/environment.pickle index c428fb64a..d39d5408f 100644 Binary files a/zh_CN/.doctrees/environment.pickle and b/zh_CN/.doctrees/environment.pickle differ diff --git a/zh_CN/.doctrees/index.doctree b/zh_CN/.doctrees/index.doctree index bd40000ef..9175c9525 100644 Binary files a/zh_CN/.doctrees/index.doctree and b/zh_CN/.doctrees/index.doctree differ diff --git a/zh_CN/.doctrees/tutorial/206-prompt.doctree b/zh_CN/.doctrees/tutorial/206-prompt.doctree index a524800ce..46e477ae3 100644 Binary files a/zh_CN/.doctrees/tutorial/206-prompt.doctree and b/zh_CN/.doctrees/tutorial/206-prompt.doctree differ diff --git a/zh_CN/_modules/agentscope/agents/user_agent.html b/zh_CN/_modules/agentscope/agents/user_agent.html index 331a3d376..93cafde73 100644 --- a/zh_CN/_modules/agentscope/agents/user_agent.html +++ b/zh_CN/_modules/agentscope/agents/user_agent.html @@ -188,7 +188,9 @@

      agentscope.agents.user_agent 源代码

               # Input url of file, image, video, audio or website
               url = None
               if self.require_url:
      -            url = input("URL: ")
      +            url = input("URL (or Enter to skip): ")
      +            if url == "":
      +                url = None
       
               # Add additional keys
               msg = Msg(
      diff --git a/zh_CN/_modules/agentscope/models/openai_model.html b/zh_CN/_modules/agentscope/models/openai_model.html
      index f3ba2f815..39ab75c10 100644
      --- a/zh_CN/_modules/agentscope/models/openai_model.html
      +++ b/zh_CN/_modules/agentscope/models/openai_model.html
      @@ -102,14 +102,14 @@ 

      agentscope.models.openai_model 源代码

       # -*- coding: utf-8 -*-
       """Model wrapper for OpenAI models"""
       from abc import ABC
      -from typing import Union, Any, List, Sequence
      +from typing import Union, Any, List, Sequence, Dict
       
       from loguru import logger
       
       from .model import ModelWrapperBase, ModelResponse
       from ..file_manager import file_manager
       from ..message import MessageBase
      -from ..utils.tools import _convert_to_str
      +from ..utils.tools import _convert_to_str, _to_openai_image_url
       
       try:
           import openai
      @@ -219,6 +219,9 @@ 

      agentscope.models.openai_model 源代码

       
           deprecated_model_type: str = "openai"
       
      +    substrings_in_vision_models_names = ["gpt-4-turbo", "vision", "gpt-4o"]
      +    """The substrings in the model names of vision models."""
      +
           def _register_default_metrics(self) -> None:
               # Set monitor accordingly
               # TODO: set quota to the following metrics
      @@ -324,6 +327,77 @@ 

      agentscope.models.openai_model 源代码

                   raw=response.model_dump(),
               )
       
      +    def _format_msg_with_url(
      +        self,
      +        msg: MessageBase,
      +    ) -> Dict:
      +        """Format a message with image urls into openai chat format.
      +        This format method is used for gpt-4o, gpt-4-turbo, gpt-4-vision and
      +        other vision models.
      +        """
      +        # Check if the model is a vision model
      +        if not any(
      +            _ in self.model_name
      +            for _ in self.substrings_in_vision_models_names
      +        ):
      +            logger.warning(
      +                f"The model {self.model_name} is not a vision model. "
      +                f"Skip the url in the message.",
      +            )
      +            return {
      +                "role": msg.role,
      +                "name": msg.name,
      +                "content": _convert_to_str(msg.content),
      +            }
      +
      +        # Put all urls into a list
      +        urls = [msg.url] if isinstance(msg.url, str) else msg.url
      +
      +        # Check if the url refers to an image
      +        checked_urls = []
      +        for url in urls:
      +            try:
      +                checked_urls.append(_to_openai_image_url(url))
      +            except TypeError:
      +                logger.warning(
      +                    f"The url {url} is not a valid image url for "
      +                    f"OpenAI Chat API, skipped.",
      +                )
      +
      +        if len(checked_urls) == 0:
      +            # If no valid image url is provided, return the normal message dict
      +            return {
      +                "role": msg.role,
      +                "name": msg.name,
      +                "content": _convert_to_str(msg.content),
      +            }
      +        else:
      +            # otherwise, use the vision format message
      +            returned_msg = {
      +                "role": msg.role,
      +                "name": msg.name,
      +                "content": [
      +                    {
      +                        "type": "text",
      +                        "text": _convert_to_str(msg.content),
      +                    },
      +                ],
      +            }
      +
      +            image_dicts = [
      +                {
      +                    "type": "image_url",
      +                    "image_url": {
      +                        "url": _,
      +                    },
      +                }
      +                for _ in checked_urls
      +            ]
      +
      +            returned_msg["content"].extend(image_dicts)
      +
      +            return returned_msg
      +
       
      [文档] def format( @@ -344,19 +418,22 @@

      agentscope.models.openai_model 源代码

                       The formatted messages in the format that OpenAI Chat API
                       required.
               """
      -
               messages = []
               for arg in args:
                   if arg is None:
                       continue
                   if isinstance(arg, MessageBase):
      -                messages.append(
      -                    {
      -                        "role": arg.role,
      -                        "name": arg.name,
      -                        "content": _convert_to_str(arg.content),
      -                    },
      -                )
      +                if arg.url is not None:
      +                    messages.append(self._format_msg_with_url(arg))
      +                else:
      +                    messages.append(
      +                        {
      +                            "role": arg.role,
      +                            "name": arg.name,
      +                            "content": _convert_to_str(arg.content),
      +                        },
      +                    )
      +
                   elif isinstance(arg, list):
                       messages.extend(self.format(*arg))
                   else:
      diff --git a/zh_CN/_modules/agentscope/utils/tools.html b/zh_CN/_modules/agentscope/utils/tools.html
      index 37d6070d1..0462cb302 100644
      --- a/zh_CN/_modules/agentscope/utils/tools.html
      +++ b/zh_CN/_modules/agentscope/utils/tools.html
      @@ -103,6 +103,7 @@ 

      agentscope.utils.tools 源代码

       import base64
       import datetime
       import json
      +import os.path
       import secrets
       import string
       from typing import Any, Literal, List
      @@ -235,7 +236,7 @@ 

      agentscope.utils.tools 源代码

           """
           # See https://platform.openai.com/docs/guides/vision for details of
           # support image extensions.
      -    image_extensions = (
      +    support_image_extensions = (
               ".png",
               ".jpg",
               ".jpeg",
      @@ -245,16 +246,17 @@ 

      agentscope.utils.tools 源代码

       
           parsed_url = urlparse(url)
       
      -    # Checking for HTTP(S) image links
      -    if parsed_url.scheme in ["http", "https"]:
      -        lower_path = parsed_url.path.lower()
      -        if lower_path.endswith(image_extensions):
      +    lower_url = url.lower()
      +
      +    # Web url
      +    if parsed_url.scheme != "":
      +        if any(lower_url.endswith(_) for _ in support_image_extensions):
                   return url
       
           # Check if it is a local file
      -    elif parsed_url.scheme == "file" or not parsed_url.scheme:
      -        if parsed_url.path.lower().endswith(image_extensions):
      -            with open(parsed_url.path, "rb") as image_file:
      +    elif os.path.exists(url) and os.path.isfile(url):
      +        if any(lower_url.endswith(_) for _ in support_image_extensions):
      +            with open(url, "rb") as image_file:
                       base64_image = base64.b64encode(image_file.read()).decode(
                           "utf-8",
                       )
      @@ -262,7 +264,7 @@ 

      agentscope.utils.tools 源代码

                   mime_type = f"image/{extension}"
                   return f"data:{mime_type};base64,{base64_image}"
       
      -    raise TypeError(f"{url} should be end with {image_extensions}.")
      +    raise TypeError(f"{url} should be end with {support_image_extensions}.")
       
       
       def _download_file(url: str, path_file: str, max_retries: int = 3) -> bool:
      diff --git a/zh_CN/_sources/tutorial/206-prompt.md.txt b/zh_CN/_sources/tutorial/206-prompt.md.txt
      index d77fb673a..7ed143cfe 100644
      --- a/zh_CN/_sources/tutorial/206-prompt.md.txt
      +++ b/zh_CN/_sources/tutorial/206-prompt.md.txt
      @@ -42,6 +42,8 @@ AgentScope为以下的模型API提供了内置的提示构建策略。
       
       #### 提示的构建策略
       
      +##### 非视觉(Vision)模型
      +
       在OpenAI Chat API中,`name`字段使模型能够区分对话中的不同发言者。因此,`OpenAIChatWrapper`中`format`函数的策略很简单:
       
       - `Msg`: 直接将带有`role`、`content`和`name`字段的字典传递给API。
      @@ -76,6 +78,75 @@ print(prompt)
       ]
       ```
       
      +##### 视觉(Vision)模型
      +
      +对支持视觉的模型而言,如果输入消息包含图像url,生成的`content`字段将是一个字典的列表,其中包含文本和图像url。
      +
      +具体来说,如果是网络图片url,将直接传递给OpenAI Chat API,而本地图片url将被转换为base64格式。更多细节请参考[官方指南](https://platform.openai.com/docs/guides/vision)。
      +
      +注意无效的图片url(例如`/Users/xxx/test.mp3`)将被忽略。
      +
      +```python
      +from agentscope.models import OpenAIChatWrapper
      +from agentscope.message import Msg
      +
      +model = OpenAIChatWrapper(
      +    config_name="", # 为空,因为我们直接初始化model wrapper
      +    model_name="gpt-4o",
      +)
      +
      +prompt = model.format(
      +   Msg("system", "You're a helpful assistant", role="system"),   # Msg 对象
      +   [                                                             # Msg 对象的列表
      +      Msg(name="user", content="Describe this image", role="user", url="https://xxx.png"),
      +      Msg(name="user", content="And these images", role="user", url=["/Users/xxx/test.png", "/Users/xxx/test.mp3"]),
      +   ],
      +)
      +print(prompt)
      +```
      +
      +```python
      +[
      +    {
      +        "role": "system",
      +        "name": "system",
      +        "content": "You are a helpful assistant"
      +    },
      +    {
      +        "role": "user",
      +        "name": "user",
      +        "content": [
      +            {
      +                "type": "text",
      +                "text": "Describe this image"
      +            },
      +            {
      +                "type": "image_url",
      +                "image_url": {
      +                    "url": "https://xxx.png"
      +                }
      +            },
      +        ]
      +    },
      +    {
      +        "role": "user",
      +        "name": "user",
      +        "content": [
      +            {
      +                "type": "text",
      +                "text": "And these images"
      +            },
      +            {
      +                "type": "image_url",
      +                "image_url": {
      +                    "url": "data:image/png;base64,YWJjZGVm..." # 对应 /Users/xxx/test.png
      +                }
      +            },
      +        ]
      +    },
      +]
      +```
      +
       ### `DashScopeChatWrapper`
       
       `DashScopeChatWrapper`封装了DashScope聊天API,它接受消息列表作为输入。消息必须遵守以下规则:
      diff --git a/zh_CN/agentscope.models.html b/zh_CN/agentscope.models.html
      index 1d08d5998..3067ffb13 100644
      --- a/zh_CN/agentscope.models.html
      +++ b/zh_CN/agentscope.models.html
      @@ -99,6 +99,7 @@
       
    • OpenAIChatWrapper
    • @@ -470,6 +471,12 @@ deprecated_model_type: str = 'openai'

  • +
    +
    +substrings_in_vision_models_names = ['gpt-4-turbo', 'vision', 'gpt-4o']
    +

    The substrings in the model names of vision models.

    +
    +
    format(*args: MessageBase | Sequence[MessageBase]) List[dict][源代码]
    diff --git a/zh_CN/agentscope.models.openai_model.html b/zh_CN/agentscope.models.openai_model.html index 52d3c9ebf..86e84d5f4 100644 --- a/zh_CN/agentscope.models.openai_model.html +++ b/zh_CN/agentscope.models.openai_model.html @@ -153,6 +153,12 @@ deprecated_model_type: str = 'openai'
    +
    +
    +substrings_in_vision_models_names = ['gpt-4-turbo', 'vision', 'gpt-4o']
    +

    The substrings in the model names of vision models.

    +
    +
    format(*args: MessageBase | Sequence[MessageBase]) List[dict][源代码]
    diff --git a/zh_CN/genindex.html b/zh_CN/genindex.html index a0471d7a7..bd8f20646 100644 --- a/zh_CN/genindex.html +++ b/zh_CN/genindex.html @@ -2557,10 +2557,10 @@

    S

  • set_response() (agentscope.rpc.ResponseStub 方法)
  • - - +
    • setup_logger()(在 agentscope.utils 模块中)
    • setup_logger()(在 agentscope.utils.logging_utils 模块中) @@ -2604,6 +2604,10 @@

      S

    • stop() (agentscope.agents.RpcAgent 方法)
    • STRING(agentscope.prompt.PromptType 属性) +
    • +
    • substrings_in_vision_models_names(agentscope.models.openai_model.OpenAIChatWrapper 属性) +
    • +
    • substrings_in_vision_models_names(agentscope.models.OpenAIChatWrapper 属性)
    • SUCCESS(agentscope.service.service_status.ServiceExecStatus 属性)
    • diff --git a/zh_CN/objects.inv b/zh_CN/objects.inv index fe4f53d20..3256cf515 100644 Binary files a/zh_CN/objects.inv and b/zh_CN/objects.inv differ diff --git a/zh_CN/searchindex.js b/zh_CN/searchindex.js index 348e814d5..228691f01 100644 --- a/zh_CN/searchindex.js +++ b/zh_CN/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"Actor\u6a21\u5f0f": [[98, "actor"]], "Agent Server": [[98, "agent-server"]], "AgentScope API \u6587\u6863": [[84, null]], "AgentScope \u6587\u6863": [[84, "agentscope"]], "AgentScope\u4ee3\u7801\u7ed3\u6784": [[86, "id5"]], "AgentScope\u662f\u5982\u4f55\u8bbe\u8ba1\u7684\uff1f": [[86, "id4"]], "DashScope API": [[93, "dashscope-api"]], "DashScopeChatWrapper": [[96, "dashscopechatwrapper"]], "DashScopeMultiModalWrapper": [[96, "dashscopemultimodalwrapper"]], "DialogAgent": [[91, "dialogagent"]], "Discord": [[99, "discord"]], "ForLoopPipeline": [[92, "forlooppipeline"]], "Fork\u548cClone\u4ed3\u5e93": [[100, "forkclone"]], "Gemini API": [[93, 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"switchpipelin": 92, "tabl": 84, "tagged_content_pars": 33, "temporary_memori": 15, "temporarymemori": 95, "text": 49, "text_process": [60, 61], "text_to_image_ag": 8, "to_dist": 98, "token_util": 72, "tool": 73, "user_ag": 9, "userag": 91, "util": [68, 69, 70, 71, 72, 73, 78], "virtualenv": 87, "vision": 96, "web": [62, 63, 64, 65, 66, 67, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83], "web_digest": 67, "webui": 90, "whilelooppipelin": 92, "workflow": [80, 86], "workflow_dag": 81, "workflow_nod": 82, "workflow_util": 83, "workstat": [79, 80, 81, 82, 83], "wrapper": 93, "zhipu_model": 27, "zhipuai": 93, "zhipuaichatwrapp": 96}}) \ No newline at end of file diff --git a/zh_CN/tutorial/206-prompt.html b/zh_CN/tutorial/206-prompt.html index f755ee29c..f2a345229 100644 --- a/zh_CN/tutorial/206-prompt.html +++ b/zh_CN/tutorial/206-prompt.html @@ -73,9 +73,9 @@
  • 关于PromptEngine类 (将会在未来版本弃用)
  • @@ -165,6 +165,8 @@

    OpenAIChatWrapp

    提示的构建策略

    +
    +
    非视觉(Vision)模型

    在OpenAI Chat API中,name字段使模型能够区分对话中的不同发言者。因此,OpenAIChatWrapperformat函数的策略很简单:

    • Msg: 直接将带有rolecontentname字段的字典传递给API。

    • @@ -197,6 +199,72 @@

      提示的构建策略 +
      视觉(Vision)模型
      +

      对支持视觉的模型而言,如果输入消息包含图像url,生成的content字段将是一个字典的列表,其中包含文本和图像url。

      +

      具体来说,如果是网络图片url,将直接传递给OpenAI Chat API,而本地图片url将被转换为base64格式。更多细节请参考官方指南

      +

      注意无效的图片url(例如/Users/xxx/test.mp3)将被忽略。

      +
      from agentscope.models import OpenAIChatWrapper
      +from agentscope.message import Msg
      +
      +model = OpenAIChatWrapper(
      +    config_name="", # 为空,因为我们直接初始化model wrapper
      +    model_name="gpt-4o",
      +)
      +
      +prompt = model.format(
      +   Msg("system", "You're a helpful assistant", role="system"),   # Msg 对象
      +   [                                                             # Msg 对象的列表
      +      Msg(name="user", content="Describe this image", role="user", url="https://xxx.png"),
      +      Msg(name="user", content="And these images", role="user", url=["/Users/xxx/test.png", "/Users/xxx/test.mp3"]),
      +   ],
      +)
      +print(prompt)
      +
      +
      +
      [
      +    {
      +        "role": "system",
      +        "name": "system",
      +        "content": "You are a helpful assistant"
      +    },
      +    {
      +        "role": "user",
      +        "name": "user",
      +        "content": [
      +            {
      +                "type": "text",
      +                "text": "Describe this image"
      +            },
      +            {
      +                "type": "image_url",
      +                "image_url": {
      +                    "url": "https://xxx.png"
      +                }
      +            },
      +        ]
      +    },
      +    {
      +        "role": "user",
      +        "name": "user",
      +        "content": [
      +            {
      +                "type": "text",
      +                "text": "And these images"
      +            },
      +            {
      +                "type": "image_url",
      +                "image_url": {
      +                    "url": "data:image/png;base64,YWJjZGVm..." # 对应 /Users/xxx/test.png
      +                }
      +            },
      +        ]
      +    },
      +]
      +
      +
      +

    +

    DashScopeChatWrapper

    @@ -207,8 +275,8 @@

    DashScopeChatWr
  • 如果一条信息的role字段是"system",那么这条信息必须也只能出现在消息列表的开头。

  • userassistant必须交替发言。

  • -
    -

    提示的构建策略

    +
    +

    提示的构建策略

    如果第一条消息的role字段是"system",它将被转换为一条消息,其中role字段为"system"content字段为系统消息。其余的消息将被转换为一条消息,其中role字段为"user"content字段为对话历史。

    样例如下:

    from agentscope.models import DashScopeChatWrapper
    @@ -281,8 +349,8 @@ 

    DashScopeMultiM
  • 消息列表中最后一条消息的role字段必须是"user"

  • 消息列表中userassistant必须交替发言。

  • -
    -

    提示的构建策略

    +
    +

    提示的构建策略

    基于上述API的限制,构建策略如下:

    • 如果输入的消息列表中第一条消息的role字段的值是"system",它将被转换为一条系统消息,其中role字段为"system"content字段为系统消息,如果输入Msg对象中url属性不为None,则根据其类型在content中增加一个键值为"image"或者"audio"的字典。

    • @@ -335,8 +403,8 @@

      OllamaChatWrapp
    • 需要rolecontent字段,并且role必须是"user""system""assistant"之一。

    • 可以添加一个可选的images字段到消息中。

    -
    -

    提示的构建策略

    +
    +

    提示的构建策略

    给定一个消息列表,我们将按照以下规则解析每个消息:

    • 如果输入的第一条信息的role字段是"system",该条信息将被视为系统提示(system @@ -376,8 +444,8 @@

      提示的构建策略

      OllamaGenerationWrapper

      OllamaGenerationWrapper封装了Ollama生成API,它接受字符串提示作为输入,没有任何约束(更新于2024/03/22)。

      -
      -

      提示的构建策略

      +
      +

      提示的构建策略

      如果第一条消息的role字段是"system",那么它将会被转化成一条系统提示。其余消息会被拼接成对话历史。

      from agentscope.models import OllamaGenerationWrapper
       from agentscope.message import Msg
      @@ -417,8 +485,8 @@ 

      GeminiChatWrapp

    当代理可能扮演多种不同角色并连续发言时,这些要求使得构建多代理对话变得困难。 因此,我们决定在内置的format函数中将消息列表转换为字符串提示,并且封装在一条user信息中。

    -
    -

    提示的构建策略

    +
    +

    提示的构建策略

    如果第一条消息的role字段是"system",那么它将会被转化成一条系统提示。其余消息会被拼接成对话历史。

    注意Gemini Chat API中parts字段可以包含图片的url,由于我们将消息转换成字符串格式 的输入,因此图片url在目前的format函数中是不支持的。 @@ -463,8 +531,8 @@

    ZhipuAIChatWrap

    当代理可能扮演多种不同角色并连续发言时,这些要求使得构建多代理对话变得困难。 因此,我们决定在内置的format函数中将消息列表转换为字符串提示,并且封装在一条user信息中。

    -
    -

    提示的构建策略

    +
    +

    提示的构建策略

    如果第一条消息的 role 字段是 “system”,它将被转换为带有 role 字段为 “system” 和 content 字段为系统消息的单个消息。其余的消息会被转化为带有 role 字段为 “user” 和 content 字段为对话历史的消息。 下面展示了一个示例:

    from agentscope.models import ZhipuAIChatWrapper
    @@ -498,26 +566,26 @@ 

    提示的构建策略

    关于PromptEngine类 (将会在未来版本弃用)

    PromptEngine类提供了一种结构化的方式来合并不同的提示组件,比如指令、提示、对话历史和用户输入,以适合底层语言模型的格式。

    -
    -

    提示工程的关键特性

    +
    +

    提示工程的关键特性

    • 模型兼容性:可以与任何 ModelWrapperBase 的子类一起工作。

    • 提示类型:支持字符串和列表风格的提示,与模型首选的输入格式保持一致。

    -
    -

    初始化

    +
    +

    初始化

    当创建 PromptEngine 的实例时,您可以指定目标模型,以及(可选的)缩减原则、提示的最大长度、提示类型和总结模型(可以与目标模型相同)。

    model = OpenAIChatWrapper(...)
     engine = PromptEngine(model)
     
    -
    -

    合并提示组件

    -

    PromptEnginejoin 方法提供了一个统一的接口来处理任意数量的组件,以构建最终的提示。

    -

    输出字符串类型提示

    +

    合并提示组件

    +

    PromptEnginejoin 方法提供了一个统一的接口来处理任意数量的组件,以构建最终的提示。

    +
    +

    输出字符串类型提示

    如果模型期望的是字符串类型的提示,组件会通过换行符连接:

    system_prompt = "You're a helpful assistant."
     memory = ... # 可以是字典、列表或字符串
    @@ -528,8 +596,8 @@ 

    输出字符串类型提示 -

    输出列表类型提示

    +
    +

    输出列表类型提示

    对于使用列表类型提示的模型,比如 OpenAI 和 Huggingface 聊天模型,组件可以转换为 Message 对象,其类型是字典列表:

    system_prompt = "You're a helpful assistant."
     user_messages = [{"name": "user", "content": "What's the weather like today?"}]
    @@ -539,8 +607,8 @@ 

    输出列表类型提示 -

    动态格式化提示

    +
    +

    动态格式化提示

    PromptEngine 支持使用 format_map 参数动态提示,允许您灵活地将各种变量注入到不同场景的提示组件中:

    variables = {"location": "London"}
     hint_prompt = "Find the weather in {location}."