Fix for issue #1252: _achat_completion_stream method

.devcontainer/devcontainer.json

@@ -3,7 +3,7 @@
 {
 	"name": "Python 3",
 	// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
-	"image": "mcr.microsoft.com/devcontainers/python:0-3.11",
+	"image": "metagpt/metagpt:latest",
 
 	// Features to add to the dev container. More info: https://containers.dev/features.
 	// "features": {},
@@ -18,7 +18,7 @@
 			]
 		}
 	},
-	
+
 	// Use 'postCreateCommand' to run commands after the container is created.
 	"postCreateCommand": "./.devcontainer/postCreateCommand.sh"
 

.github/ISSUE_TEMPLATE/show_me_the_bug.md

@@ -19,6 +19,7 @@ assignees: ''
 - LLM type and model name:
 - System version:
 - Python version:
+- MetaGPT version or branch:
 
 <!-- Dependent packagess：the packages version cause the bug(like `pydantic 1.10.8`), installation method（like `pip install metagpt` or `pip install from source` or `run in docker`） -->
 

.github/workflows/build-package.yaml

@@ -1,8 +1,9 @@
 name: Build and upload python package
 
 on:
+  workflow_dispatch:
   release:
-    types: [created]
+    types: [created, published]
 
 jobs:
   deploy:

MANIFEST.in

@@ -0,0 +1,3 @@
+recursive-include metagpt/ext/stanford_town/prompts *.txt
+recursive-include metagpt/ext/stanford_town/static_dirs *.csv
+recursive-include metagpt/ext/stanford_town/static_dirs *.json

README.md

@@ -85,8 +85,8 @@ You can configure `~/.metagpt/config2.yaml` according to the [example](https://g
 
 ```yaml
 llm:
-  api_type: "openai"  # or azure / ollama / open_llm etc. Check LLMType for more options
-  model: "gpt-4-turbo-preview"  # or gpt-3.5-turbo-1106 / gpt-4-1106-preview
+  api_type: "openai"  # or azure / ollama / groq etc. Check LLMType for more options
+  model: "gpt-4-turbo"  # or gpt-3.5-turbo
   base_url: "https://api.openai.com/v1"  # or forward url / other llm url
   api_key: "YOUR_API_KEY"
 ```
@@ -107,7 +107,7 @@ repo: ProjectRepo = generate_repo("Create a 2048 game")  # or ProjectRepo("<path
 print(repo)  # it will print the repo structure with files
 ```
 
-You can also use its [Data Interpreter](https://github.com/geekan/MetaGPT/tree/main/examples/di)
+You can also use [Data Interpreter](https://github.com/geekan/MetaGPT/tree/main/examples/di) to write code:
 
 ```python
 import asyncio
@@ -147,10 +147,13 @@ https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace
 
 ## Support
 
-### Discard Join US
-📢 Join Our [Discord Channel](https://discord.gg/ZRHeExS6xv)!
+### Discord Join US
 
-Looking forward to seeing you there! 🎉
+📢 Join Our [Discord Channel](https://discord.gg/ZRHeExS6xv)! Looking forward to seeing you there! 🎉
+
+### Contributor form
+
+📝 [Fill out the form](https://airtable.com/appInfdG0eJ9J4NNL/pagK3Fh1sGclBvVkV/form) to become a contributor. We are looking forward to your participation!
 
 ### Contact Information
 

config/config2.example.yaml

@@ -1,17 +1,23 @@
 llm:
-  api_type: "openai"  # or azure / ollama / open_llm etc. Check LLMType for more options
+  api_type: "openai"  # or azure / ollama / groq etc.
   base_url: "YOUR_BASE_URL"
   api_key: "YOUR_API_KEY"
-  model: "gpt-4-turbo-preview"  # or gpt-3.5-turbo-1106 / gpt-4-1106-preview
+  model: "gpt-4-turbo"  # or gpt-3.5-turbo
   proxy: "YOUR_PROXY"  # for LLM API requests
   # timeout: 600 # Optional. If set to 0, default value is 300.
-  pricing_plan: "" # Optional. If invalid, it will be automatically filled in with the value of the `model`.
-  # Azure-exclusive pricing plan mappings：
-  # - gpt-3.5-turbo 4k: "gpt-3.5-turbo-1106"
-  # - gpt-4-turbo: "gpt-4-turbo-preview"
-  # - gpt-4-turbo-vision: "gpt-4-vision-preview"
-  # - gpt-4 8k: "gpt-4"
-  # See for more: https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/
+  # Details: https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/
+  pricing_plan: "" # Optional. Use for Azure LLM when its model name is not the same as OpenAI's
+
+
+# RAG Embedding.
+# For backward compatibility, if the embedding is not set and the llm's api_type is either openai or azure, the llm's config will be used. 
+embedding:
+  api_type: "" # openai / azure / gemini / ollama etc. Check EmbeddingType for more options.
+  base_url: ""
+  api_key: ""
+  model: ""
+  api_version: ""
+  embed_batch_size: 100
 
 repair_llm_output: true  # when the output is not a valid json, try to repair it
 

config/config2.yaml

@@ -1,7 +1,8 @@
 # Full Example: https://github.com/geekan/MetaGPT/blob/main/config/config2.example.yaml
 # Reflected Code: https://github.com/geekan/MetaGPT/blob/main/metagpt/config2.py
+# Config Docs: https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html
 llm:
-  api_type: "openai"  # or azure / ollama / open_llm etc. Check LLMType for more options
-  model: "gpt-4-turbo-preview"  # or gpt-3.5-turbo-1106 / gpt-4-1106-preview
+  api_type: "openai"  # or azure / ollama / groq etc.
+  model: "gpt-4-turbo"  # or gpt-3.5-turbo
   base_url: "https://api.openai.com/v1"  # or forward url / other llm url
   api_key: "YOUR_API_KEY"

config/examples/anthropic-claude-3-opus.yaml

@@ -0,0 +1,5 @@
+llm:
+  api_type: 'claude' # or anthropic
+  base_url: 'https://api.anthropic.com'
+  api_key: 'YOUR_API_KEY'
+  model: 'claude-3-opus-20240229'

config/examples/google-gemini.yaml

@@ -0,0 +1,4 @@
+llm:
+  api_type: 'gemini'
+  api_key: 'YOUR_API_KEY'
+  model: 'gemini-pro'

config/examples/groq-llama3-70b.yaml

@@ -0,0 +1,5 @@
+llm:
+  # Visit https://console.groq.com/keys to create api key
+  base_url: "https://api.groq.com/openai/v1"
+  api_key: "YOUR_API_KEY"
+  model: "llama3-70b-8192"  # llama3-8b-8192，llama3-70b-8192，llama2-70b-4096 ，mixtral-8x7b-32768，gemma-7b-it

config/examples/openai-gpt-3.5-turbo.yaml

@@ -0,0 +1,5 @@
+llm:
+  api_key: "YOUR_API_KEY"
+  model: "gpt-3.5-turbo"
+  #proxy: "http://<ip>:<port>"
+  #base_url: "https://<forward_url>/v1"

config/examples/openai-gpt-4-turbo.yaml

@@ -0,0 +1,6 @@
+llm:
+  api_key: "YOUR_API_KEY"
+  model: "gpt-4-turbo"
+  #proxy: "http://<ip>:<port>"
+  #base_url: "https://<forward_url>/v1"
+

config/examples/openrouter-llama3-70b-instruct.yaml

@@ -0,0 +1,5 @@
+llm:
+  api_type: openrouter
+  base_url: "https://openrouter.ai/api/v1"
+  api_key: "YOUR_API_KEY"
+  model: meta-llama/llama-3-70b-instruct

docs/FAQ-EN.md

@@ -38,9 +38,9 @@ MetaGPT Community - The position of Chief Evangelist rotates on a monthly basis.
 ### FAQ
 
 1.  Code truncation/ Parsing failure:
-    1.  Check if it's due to exceeding length. Consider using the gpt-4-turbo-preview or other long token versions.
+    1.  Check if it's due to exceeding length. Consider using the gpt-4-turbo or other long token versions.
 2.  Success rate:
-    1.  There hasn't been a quantitative analysis yet, but the success rate of code generated by gpt-4-turbo-preview is significantly higher than that of gpt-3.5-turbo.
+    1.  There hasn't been a quantitative analysis yet, but the success rate of code generated by gpt-4-turbo is significantly higher than that of gpt-3.5-turbo.
 3.  Support for incremental, differential updates (if you wish to continue a half-done task):
     1.  There is now an experimental version. Specify `--inc --project-path "<path>"` or `--inc --project-name "<name>"` on the command line and enter the corresponding requirements to try it.
 4.  Can existing code be loaded?

examples/android_assistant/requirements.txt

@@ -0,0 +1,2 @@
+pyshine==0.0.9
+opencv-python==4.6.0.66

examples/android_assistant/run_assistant.py

@@ -0,0 +1,71 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Desc   : the entry of android assistant including learning and acting stage
+#           See the usage README inside `metagpt/ext/android_assistant`
+#           README see `metagpt/ext/android_assistant/README.md`
+
+import asyncio
+from pathlib import Path
+
+import typer
+
+from metagpt.config2 import config
+from metagpt.environment.android.android_env import AndroidEnv
+from metagpt.ext.android_assistant.roles.android_assistant import AndroidAssistant
+from metagpt.team import Team
+
+app = typer.Typer(add_completion=False, pretty_exceptions_show_locals=False)
+
+
+@app.command("", help="Run a Android Assistant")
+def startup(
+    task_desc: str = typer.Argument(help="the task description you want the android assistant to learn or act"),
+    n_round: int = typer.Option(default=20, help="The max round to do an app operation task."),
+    stage: str = typer.Option(default="learn", help="stage: learn / act"),
+    mode: str = typer.Option(default="auto", help="mode: auto / manual , when state=learn"),
+    app_name: str = typer.Option(default="demo", help="the name of app you want to run"),
+    investment: float = typer.Option(default=5.0, help="Dollar amount to invest in the AI company."),
+    refine_doc: bool = typer.Option(
+        default=False, help="Refine existing operation docs based on the latest observation if True."
+    ),
+    min_dist: int = typer.Option(
+        default=30, help="The minimum distance between elements to prevent overlapping during the labeling process."
+    ),
+    android_screenshot_dir: str = typer.Option(
+        default="/sdcard/Pictures/Screenshots",
+        help="The path to store screenshots on android device. Make sure it exists.",
+    ),
+    android_xml_dir: str = typer.Option(
+        default="/sdcard",
+        help="The path to store xml files for determining UI elements localtion. Make sure it exists.",
+    ),
+    device_id: str = typer.Option(default="emulator-5554", help="The Android device_id"),
+):
+    config.extra = {
+        "stage": stage,
+        "mode": mode,
+        "app_name": app_name,
+        "task_desc": task_desc,
+        "refine_doc": refine_doc,
+        "min_dist": min_dist,
+        "android_screenshot_dir": android_screenshot_dir,
+        "android_xml_dir": android_xml_dir,
+        "device_id": device_id,
+    }
+
+    team = Team(
+        env=AndroidEnv(
+            device_id=device_id,
+            xml_dir=Path(android_xml_dir),
+            screenshot_dir=Path(android_screenshot_dir),
+        )
+    )
+
+    team.hire([AndroidAssistant(output_root_dir=Path(__file__).parent)])
+    team.invest(investment)
+    team.run_project(idea=task_desc)
+    asyncio.run(team.run(n_round=n_round))
+
+
+if __name__ == "__main__":
+    app()

examples/build_customized_agent.py

@@ -17,7 +17,7 @@
 
 class SimpleWriteCode(Action):
     PROMPT_TEMPLATE: str = """
-    Write a python function that can {instruction} and provide two runnnable test cases.
+    Write a python function that can {instruction} and provide two runnable test cases.
     Return ```python your_code_here ``` with NO other texts,
     your code:
     """