Merge pull request #2599 from Significant-Gravitas/master

Master -> Test 0.2.2
2026-01-07 00:04:26 +01:00 · 2023-04-19 17:14:27 -05:00
parent ecf2ba12db fa91bc154c
commit f5a2acd82a
10 changed files with 214 additions and 137 deletions
--- a/.env.template
+++ b/.env.template
@@ -1,187 +1,190 @@
 ################################################################################
 ### AUTO-GPT - GENERAL SETTINGS
 ################################################################################
-# EXECUTE_LOCAL_COMMANDS - Allow local command execution (Example: False)
-EXECUTE_LOCAL_COMMANDS=False
-# RESTRICT_TO_WORKSPACE - Restrict file operations to workspace ./auto_gpt_workspace (Default: True)
-RESTRICT_TO_WORKSPACE=True
-# BROWSE_CHUNK_MAX_LENGTH - When browsing website, define the length of chunk stored in memory
-BROWSE_CHUNK_MAX_LENGTH=8192
-# USER_AGENT - Define the user-agent used by the requests library to browse website (string)
+
+## EXECUTE_LOCAL_COMMANDS - Allow local command execution (Default: False)
+## RESTRICT_TO_WORKSPACE - Restrict file operations to workspace ./auto_gpt_workspace (Default: True)
+# EXECUTE_LOCAL_COMMANDS=False
+# RESTRICT_TO_WORKSPACE=True
+
+## USER_AGENT - Define the user-agent used by the requests library to browse website (string)
 # USER_AGENT="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36"
-# AI_SETTINGS_FILE - Specifies which AI Settings file to use (defaults to ai_settings.yaml)
-AI_SETTINGS_FILE=ai_settings.yaml
+
+## AI_SETTINGS_FILE - Specifies which AI Settings file to use (defaults to ai_settings.yaml)
+# AI_SETTINGS_FILE=ai_settings.yaml

 ################################################################################
 ### LLM PROVIDER
 ################################################################################

 ### OPENAI
-# OPENAI_API_KEY - OpenAI API Key (Example: my-openai-api-key)
-# TEMPERATURE - Sets temperature in OpenAI (Default: 0)
-# USE_AZURE - Use Azure OpenAI or not (Default: False)
+## OPENAI_API_KEY - OpenAI API Key (Example: my-openai-api-key)
+## TEMPERATURE - Sets temperature in OpenAI (Default: 0)
+## USE_AZURE - Use Azure OpenAI or not (Default: False)
 OPENAI_API_KEY=your-openai-api-key
-TEMPERATURE=0
-USE_AZURE=False
+# TEMPERATURE=0
+# USE_AZURE=False

 ### AZURE
-# cleanup azure env as already moved to `azure.yaml.template`
+# moved to `azure.yaml.template`

 ################################################################################
 ### LLM MODELS
 ################################################################################

-# SMART_LLM_MODEL - Smart language model (Default: gpt-4)
-# FAST_LLM_MODEL - Fast language model (Default: gpt-3.5-turbo)
-SMART_LLM_MODEL=gpt-4
-FAST_LLM_MODEL=gpt-3.5-turbo
+## SMART_LLM_MODEL - Smart language model (Default: gpt-4)
+## FAST_LLM_MODEL - Fast language model (Default: gpt-3.5-turbo)
+# SMART_LLM_MODEL=gpt-4
+# FAST_LLM_MODEL=gpt-3.5-turbo

 ### LLM MODEL SETTINGS
-# FAST_TOKEN_LIMIT - Fast token limit for OpenAI (Default: 4000)
-# SMART_TOKEN_LIMIT - Smart token limit for OpenAI (Default: 8000)
-# When using --gpt3only this needs to be set to 4000.
-FAST_TOKEN_LIMIT=4000
-SMART_TOKEN_LIMIT=8000
+## FAST_TOKEN_LIMIT - Fast token limit for OpenAI (Default: 4000)
+## SMART_TOKEN_LIMIT - Smart token limit for OpenAI (Default: 8000)
+## When using --gpt3only this needs to be set to 4000.
+# FAST_TOKEN_LIMIT=4000
+# SMART_TOKEN_LIMIT=8000

 ################################################################################
 ### MEMORY
 ################################################################################

 ### MEMORY_BACKEND - Memory backend type
-# local - Default
-# pinecone - Pinecone (if configured)
-# redis - Redis (if configured)
-# milvus - Milvus (if configured)
-MEMORY_BACKEND=local
+## local - Default
+## pinecone - Pinecone (if configured)
+## redis - Redis (if configured)
+## milvus - Milvus (if configured)
+## MEMORY_INDEX - Name of index created in Memory backend (Default: auto-gpt)
+# MEMORY_BACKEND=local
+# MEMORY_INDEX=auto-gpt

 ### PINECONE
-# PINECONE_API_KEY - Pinecone API Key (Example: my-pinecone-api-key)
-# PINECONE_ENV - Pinecone environment (region) (Example: us-west-2)
-PINECONE_API_KEY=your-pinecone-api-key
-PINECONE_ENV=your-pinecone-region
+## PINECONE_API_KEY - Pinecone API Key (Example: my-pinecone-api-key)
+## PINECONE_ENV - Pinecone environment (region) (Example: us-west-2)
+# PINECONE_API_KEY=your-pinecone-api-key
+# PINECONE_ENV=your-pinecone-region

 ### REDIS
-# REDIS_HOST - Redis host (Default: localhost, use "redis" for docker-compose)
-# REDIS_PORT - Redis port (Default: 6379)
-# REDIS_PASSWORD - Redis password (Default: "")
-# WIPE_REDIS_ON_START - Wipes data / index on start (Default: False)
-# MEMORY_INDEX - Name of index created in Redis database (Default: auto-gpt)
-REDIS_HOST=localhost
-REDIS_PORT=6379
-REDIS_PASSWORD=
-WIPE_REDIS_ON_START=False
-MEMORY_INDEX=auto-gpt
+## REDIS_HOST - Redis host (Default: localhost, use "redis" for docker-compose)
+## REDIS_PORT - Redis port (Default: 6379)
+## REDIS_PASSWORD - Redis password (Default: "")
+## WIPE_REDIS_ON_START - Wipes data / index on start (Default: True)
+# REDIS_HOST=localhost
+# REDIS_PORT=6379
+# REDIS_PASSWORD=
+# WIPE_REDIS_ON_START=True

 ### WEAVIATE
-# MEMORY_BACKEND - Use 'weaviate' to use Weaviate vector storage
-# WEAVIATE_HOST - Weaviate host IP
-# WEAVIATE_PORT - Weaviate host port
-# WEAVIATE_PROTOCOL - Weaviate host protocol (e.g. 'http')
-# USE_WEAVIATE_EMBEDDED - Whether to use Embedded Weaviate
-# WEAVIATE_EMBEDDED_PATH - File system path were to persist data when running Embedded Weaviate
-# WEAVIATE_USERNAME - Weaviate username
-# WEAVIATE_PASSWORD - Weaviate password
-# WEAVIATE_API_KEY - Weaviate API key if using API-key-based authentication
-# MEMORY_INDEX - Name of index to create in Weaviate
-WEAVIATE_HOST="127.0.0.1"
-WEAVIATE_PORT=8080
-WEAVIATE_PROTOCOL="http"
-USE_WEAVIATE_EMBEDDED=False
-WEAVIATE_EMBEDDED_PATH="/home/me/.local/share/weaviate"
-WEAVIATE_USERNAME=
-WEAVIATE_PASSWORD=
-WEAVIATE_API_KEY=
-MEMORY_INDEX=AutoGpt
+## MEMORY_BACKEND - Use 'weaviate' to use Weaviate vector storage
+## WEAVIATE_HOST - Weaviate host IP
+## WEAVIATE_PORT - Weaviate host port
+## WEAVIATE_PROTOCOL - Weaviate host protocol (e.g. 'http')
+## USE_WEAVIATE_EMBEDDED - Whether to use Embedded Weaviate
+## WEAVIATE_EMBEDDED_PATH - File system path were to persist data when running Embedded Weaviate
+## WEAVIATE_USERNAME - Weaviate username
+## WEAVIATE_PASSWORD - Weaviate password
+## WEAVIATE_API_KEY - Weaviate API key if using API-key-based authentication
+# WEAVIATE_HOST="127.0.0.1"
+# WEAVIATE_PORT=8080
+# WEAVIATE_PROTOCOL="http"
+# USE_WEAVIATE_EMBEDDED=False
+# WEAVIATE_EMBEDDED_PATH="/home/me/.local/share/weaviate"
+# WEAVIATE_USERNAME=
+# WEAVIATE_PASSWORD=
+# WEAVIATE_API_KEY=

 ### MILVUS
-# MILVUS_ADDR - Milvus remote address (e.g. localhost:19530)
-# MILVUS_COLLECTION - Milvus collection, 
-# change it if you want to start a new memory and retain the old memory.
-MILVUS_ADDR=your-milvus-cluster-host-port
-MILVUS_COLLECTION=autogpt
+## MILVUS_ADDR - Milvus remote address (e.g. localhost:19530)
+## MILVUS_COLLECTION - Milvus collection,
+## change it if you want to start a new memory and retain the old memory.
+# MILVUS_ADDR=your-milvus-cluster-host-port
+# MILVUS_COLLECTION=autogpt

 ################################################################################
 ### IMAGE GENERATION PROVIDER
 ################################################################################

 ### OPEN AI
-# IMAGE_PROVIDER - Image provider (Example: dalle)
-IMAGE_PROVIDER=dalle
-# IMAGE_SIZE - Image size (Example: 256)
-#   DALLE: 256, 512, 1024
-IMAGE_SIZE=256
+## IMAGE_PROVIDER - Image provider (Example: dalle)
+## IMAGE_SIZE - Image size (Example: 256)
+##   DALLE: 256, 512, 1024
+# IMAGE_PROVIDER=dalle
+# IMAGE_SIZE=256

 ### HUGGINGFACE
-# HUGGINGFACE_IMAGE_MODEL - Text-to-image model from Huggingface (Default: CompVis/stable-diffusion-v1-4)
-HUGGINGFACE_IMAGE_MODEL=CompVis/stable-diffusion-v1-4
-# HUGGINGFACE_API_TOKEN - HuggingFace API token (Example: my-huggingface-api-token)
-HUGGINGFACE_API_TOKEN=your-huggingface-api-token
+## HUGGINGFACE_IMAGE_MODEL - Text-to-image model from Huggingface (Default: CompVis/stable-diffusion-v1-4)
+## HUGGINGFACE_API_TOKEN - HuggingFace API token (Example: my-huggingface-api-token)
+# HUGGINGFACE_IMAGE_MODEL=CompVis/stable-diffusion-v1-4
+# HUGGINGFACE_API_TOKEN=your-huggingface-api-token

 ### STABLE DIFFUSION WEBUI
-# SD_WEBUI_URL - Stable diffusion webui API URL (Example: http://127.0.0.1:7860)
-SD_WEBUI_URL=http://127.0.0.1:7860
-# SD_WEBUI_AUTH - Stable diffusion webui username:password pair (Example: username:password)
-SD_WEBUI_AUTH=
+## SD_WEBUI_AUTH - Stable diffusion webui username:password pair (Example: username:password)
+## SD_WEBUI_URL - Stable diffusion webui API URL (Example: http://127.0.0.1:7860)
+# SD_WEBUI_AUTH=
+# SD_WEBUI_URL=http://127.0.0.1:7860

 ################################################################################
 ### AUDIO TO TEXT PROVIDER
 ################################################################################

 ### HUGGINGFACE
-HUGGINGFACE_AUDIO_TO_TEXT_MODEL=facebook/wav2vec2-base-960h
+# HUGGINGFACE_AUDIO_TO_TEXT_MODEL=facebook/wav2vec2-base-960h

 ################################################################################
 ### GIT Provider for repository actions
 ################################################################################

 ### GITHUB
-# GITHUB_API_KEY - Github API key / PAT (Example: github_pat_123)
-# GITHUB_USERNAME - Github username
-GITHUB_API_KEY=github_pat_123
-GITHUB_USERNAME=your-github-username
+## GITHUB_API_KEY - Github API key / PAT (Example: github_pat_123)
+## GITHUB_USERNAME - Github username
+# GITHUB_API_KEY=github_pat_123
+# GITHUB_USERNAME=your-github-username

 ################################################################################
 ### WEB BROWSING
 ################################################################################

 ### BROWSER
-# USE_WEB_BROWSER - Sets the web-browser drivers to use with selenium (defaults to chrome).
-# HEADLESS_BROWSER - Whether to run the browser in headless mode (defaults to True)
-#   Note: set this to either 'chrome', 'firefox', or 'safari' depending on your current browser
-# USE_WEB_BROWSER=chrome
+## HEADLESS_BROWSER - Whether to run the browser in headless mode (default: True)
+## USE_WEB_BROWSER - Sets the web-browser driver to use with selenium (default: chrome).
+##   Note: set this to either 'chrome', 'firefox', or 'safari' depending on your current browser
 # HEADLESS_BROWSER=True
+# USE_WEB_BROWSER=chrome
+## BROWSE_CHUNK_MAX_LENGTH - When browsing website, define the length of chunks to summarize (in number of tokens, excluding the response. 75 % of FAST_TOKEN_LIMIT is usually wise )
+# BROWSE_CHUNK_MAX_LENGTH=3000
+## BROWSE_SPACY_LANGUAGE_MODEL is used to split sentences. Install additional languages via pip, and set the model name here. Example Chinese:  python -m spacy download zh_core_web_sm
+# BROWSE_SPACY_LANGUAGE_MODEL=en_core_web_sm

 ### GOOGLE
-# GOOGLE_API_KEY - Google API key (Example: my-google-api-key)
-# CUSTOM_SEARCH_ENGINE_ID - Custom search engine ID (Example: my-custom-search-engine-id)
-GOOGLE_API_KEY=your-google-api-key
-CUSTOM_SEARCH_ENGINE_ID=your-custom-search-engine-id
+## GOOGLE_API_KEY - Google API key (Example: my-google-api-key)
+## CUSTOM_SEARCH_ENGINE_ID - Custom search engine ID (Example: my-custom-search-engine-id)
+# GOOGLE_API_KEY=your-google-api-key
+# CUSTOM_SEARCH_ENGINE_ID=your-custom-search-engine-id

 ################################################################################
 ### TTS PROVIDER
 ################################################################################

 ### MAC OS
-# USE_MAC_OS_TTS - Use Mac OS TTS or not (Default: False)
-USE_MAC_OS_TTS=False
+## USE_MAC_OS_TTS - Use Mac OS TTS or not (Default: False)
+# USE_MAC_OS_TTS=False

 ### STREAMELEMENTS
-# USE_BRIAN_TTS - Use Brian TTS or not (Default: False)
-USE_BRIAN_TTS=False
+## USE_BRIAN_TTS - Use Brian TTS or not (Default: False)
+# USE_BRIAN_TTS=False

 ### ELEVENLABS
-# ELEVENLABS_API_KEY - Eleven Labs API key (Example: my-elevenlabs-api-key)
-# ELEVENLABS_VOICE_1_ID - Eleven Labs voice 1 ID (Example: my-voice-id-1)
-# ELEVENLABS_VOICE_2_ID - Eleven Labs voice 2 ID (Example: my-voice-id-2)
-ELEVENLABS_API_KEY=your-elevenlabs-api-key
-ELEVENLABS_VOICE_1_ID=your-voice-id-1
-ELEVENLABS_VOICE_2_ID=your-voice-id-2
+## ELEVENLABS_API_KEY - Eleven Labs API key (Example: my-elevenlabs-api-key)
+## ELEVENLABS_VOICE_1_ID - Eleven Labs voice 1 ID (Example: my-voice-id-1)
+## ELEVENLABS_VOICE_2_ID - Eleven Labs voice 2 ID (Example: my-voice-id-2)
+# ELEVENLABS_API_KEY=your-elevenlabs-api-key
+# ELEVENLABS_VOICE_1_ID=your-voice-id-1
+# ELEVENLABS_VOICE_2_ID=your-voice-id-2

 ################################################################################
-### TWITTER API 
+### TWITTER API
 ################################################################################

-TW_CONSUMER_KEY=
-TW_CONSUMER_SECRET=
-TW_ACCESS_TOKEN=
-TW_ACCESS_TOKEN_SECRET=
+# TW_CONSUMER_KEY=
+# TW_CONSUMER_SECRET=
+# TW_ACCESS_TOKEN=
+# TW_ACCESS_TOKEN_SECRET=
--- a/README.md
+++ b/README.md
--- a/autogpt/cli.py
+++ b/autogpt/cli.py
@@ -70,6 +70,7 @@ def main(
    """
    # Put imports inside function to avoid importing everything when starting the CLI
    import logging
+    import sys

    from colorama import Fore

@@ -79,7 +80,7 @@ def main(
    from autogpt.logs import logger
    from autogpt.memory import get_memory
    from autogpt.prompt import construct_prompt
-    from autogpt.utils import get_latest_bulletin
+    from autogpt.utils import get_current_git_branch, get_latest_bulletin

    if ctx.invoked_subcommand is None:
        cfg = Config()
@@ -105,6 +106,23 @@ def main(
            motd = get_latest_bulletin()
            if motd:
                logger.typewriter_log("NEWS: ", Fore.GREEN, motd)
+            git_branch = get_current_git_branch()
+            if git_branch and git_branch != "stable":
+                logger.typewriter_log(
+                    "WARNING: ",
+                    Fore.RED,
+                    f"You are running on `{git_branch}` branch "
+                    "- this is not a supported branch.",
+                )
+            if sys.version_info < (3, 10):
+                logger.typewriter_log(
+                    "WARNING: ",
+                    Fore.RED,
+                    "You are running on an older version of Python. "
+                    "Some people have observed problems with certain "
+                    "parts of Auto-GPT with this version. "
+                    "Please consider upgrading to Python 3.10 or higher.",
+                )
        system_prompt = construct_prompt()
        # print(prompt)
        # Initialize variables
--- a/autogpt/config/config.py
+++ b/autogpt/config/config.py
@@ -31,10 +31,13 @@ class Config(metaclass=Singleton):
        self.smart_llm_model = os.getenv("SMART_LLM_MODEL", "gpt-4")
        self.fast_token_limit = int(os.getenv("FAST_TOKEN_LIMIT", 4000))
        self.smart_token_limit = int(os.getenv("SMART_TOKEN_LIMIT", 8000))
-        self.browse_chunk_max_length = int(os.getenv("BROWSE_CHUNK_MAX_LENGTH", 8192))
+        self.browse_chunk_max_length = int(os.getenv("BROWSE_CHUNK_MAX_LENGTH", 3000))
+        self.browse_spacy_language_model = os.getenv(
+            "BROWSE_SPACY_LANGUAGE_MODEL", "en_core_web_sm"
+        )

        self.openai_api_key = os.getenv("OPENAI_API_KEY")
-        self.temperature = float(os.getenv("TEMPERATURE", "1"))
+        self.temperature = float(os.getenv("TEMPERATURE", "0"))
        self.use_azure = os.getenv("USE_AZURE") == "True"
        self.execute_local_commands = (
            os.getenv("EXECUTE_LOCAL_COMMANDS", "False") == "True"
@@ -145,7 +148,7 @@ class Config(metaclass=Singleton):
        else:
            return ""

-    AZURE_CONFIG_FILE = os.path.join(os.path.dirname(__file__), "..", "azure.yaml")
+    AZURE_CONFIG_FILE = os.path.join(os.path.dirname(__file__), "../..", "azure.yaml")

    def load_azure_config(self, config_file: str = AZURE_CONFIG_FILE) -> None:
        """
@@ -168,7 +171,7 @@ class Config(metaclass=Singleton):
        self.openai_api_version = (
            config_params.get("azure_api_version") or "2023-03-15-preview"
        )
-        self.azure_model_to_deployment_id_map = config_params.get("azure_model_map", [])
+        self.azure_model_to_deployment_id_map = config_params.get("azure_model_map", {})

    def set_continuous_mode(self, value: bool) -> None:
        """Set the continuous mode value."""
--- a/autogpt/processing/text.py
+++ b/autogpt/processing/text.py
@@ -1,8 +1,10 @@
 """Text processing functions"""
 from typing import Dict, Generator, Optional

+import spacy
 from selenium.webdriver.remote.webdriver import WebDriver

+from autogpt import token_counter
 from autogpt.config import Config
 from autogpt.llm_utils import create_chat_completion
 from autogpt.memory import get_memory
@@ -11,7 +13,12 @@ CFG = Config()
 MEMORY = get_memory(CFG)


-def split_text(text: str, max_length: int = 8192) -> Generator[str, None, None]:
+def split_text(
+    text: str,
+    max_length: int = CFG.browse_chunk_max_length,
+    model: str = CFG.fast_llm_model,
+    question: str = "",
+) -> Generator[str, None, None]:
    """Split text into chunks of a maximum length

    Args:
@@ -24,21 +31,46 @@ def split_text(text: str, max_length: int = 8192) -> Generator[str, None, None]:
    Raises:
        ValueError: If the text is longer than the maximum length
    """
-    paragraphs = text.split("\n")
-    current_length = 0
+    flatened_paragraphs = " ".join(text.split("\n"))
+    nlp = spacy.load(CFG.browse_spacy_language_model)
+    nlp.add_pipe("sentencizer")
+    doc = nlp(flatened_paragraphs)
+    sentences = [sent.text.strip() for sent in doc.sents]
+
    current_chunk = []

-    for paragraph in paragraphs:
-        if current_length + len(paragraph) + 1 <= max_length:
-            current_chunk.append(paragraph)
-            current_length += len(paragraph) + 1
+    for sentence in sentences:
+        message_with_additional_sentence = [
+            create_message(" ".join(current_chunk) + " " + sentence, question)
+        ]
+
+        expected_token_usage = (
+            token_usage_of_chunk(messages=message_with_additional_sentence, model=model)
+            + 1
+        )
+        if expected_token_usage <= max_length:
+            current_chunk.append(sentence)
        else:
-            yield "\n".join(current_chunk)
-            current_chunk = [paragraph]
-            current_length = len(paragraph) + 1
+            yield " ".join(current_chunk)
+            current_chunk = [sentence]
+            message_this_sentence_only = [
+                create_message(" ".join(current_chunk), question)
+            ]
+            expected_token_usage = (
+                token_usage_of_chunk(messages=message_this_sentence_only, model=model)
+                + 1
+            )
+            if expected_token_usage > max_length:
+                raise ValueError(
+                    f"Sentence is too long in webpage: {expected_token_usage} tokens."
+                )

    if current_chunk:
-        yield "\n".join(current_chunk)
+        yield " ".join(current_chunk)
+
+
+def token_usage_of_chunk(messages, model):
+    return token_counter.count_message_tokens(messages, model)


 def summarize_text(
@@ -58,11 +90,16 @@ def summarize_text(
    if not text:
        return "Error: No text to summarize"

+    model = CFG.fast_llm_model
    text_length = len(text)
    print(f"Text length: {text_length} characters")

    summaries = []
-    chunks = list(split_text(text))
+    chunks = list(
+        split_text(
+            text, max_length=CFG.browse_chunk_max_length, model=model, question=question
+        ),
+    )
    scroll_ratio = 1 / len(chunks)

    for i, chunk in enumerate(chunks):
@@ -74,15 +111,20 @@ def summarize_text(

        MEMORY.add(memory_to_add)

-        print(f"Summarizing chunk {i + 1} / {len(chunks)}")
        messages = [create_message(chunk, question)]
+        tokens_for_chunk = token_counter.count_message_tokens(messages, model)
+        print(
+            f"Summarizing chunk {i + 1} / {len(chunks)} of length {len(chunk)} characters, or {tokens_for_chunk} tokens"
+        )

        summary = create_chat_completion(
-            model=CFG.fast_llm_model,
+            model=model,
            messages=messages,
        )
        summaries.append(summary)
-        print(f"Added chunk {i + 1} summary to memory")
+        print(
+            f"Added chunk {i + 1} summary to memory, of length {len(summary)} characters"
+        )

        memory_to_add = f"Source: {url}\n" f"Content summary part#{i + 1}: {summary}"

@@ -94,7 +136,7 @@ def summarize_text(
    messages = [create_message(combined_summary, question)]

    return create_chat_completion(
-        model=CFG.fast_llm_model,
+        model=model,
        messages=messages,
    )

--- a/autogpt/prompt.py
+++ b/autogpt/prompt.py
@@ -85,7 +85,6 @@ def get_prompt() -> str:
            {"code": "<full_code_string>", "focus": "<list_of_focus_areas>"},
        ),
        ("Execute Python File", "execute_python_file", {"file": "<file>"}),
-        ("Task Complete (Shutdown)", "task_complete", {"reason": "<reason>"}),
        ("Generate Image", "generate_image", {"prompt": "<prompt>"}),
        ("Send Tweet", "send_tweet", {"text": "<text>"}),
    ]
--- a/autogpt/utils.py
+++ b/autogpt/utils.py
@@ -3,6 +3,7 @@ import os
 import requests
 import yaml
 from colorama import Fore
+from git import Repo


 def clean_input(prompt: str = ""):
@@ -53,6 +54,15 @@ def get_bulletin_from_web() -> str:
        return ""


+def get_current_git_branch() -> str:
+    try:
+        repo = Repo(search_parent_directories=True)
+        branch = repo.active_branch
+        return branch.name
+    except:
+        return ""
+
+
 def get_latest_bulletin() -> str:
    exists = os.path.exists("CURRENT_BULLETIN.md")
    current_bulletin = ""
--- a/autogpt/workspace.py
+++ b/autogpt/workspace.py
@@ -37,6 +37,7 @@ def safe_path_join(base: Path, *paths: str | Path) -> Path:
    Returns:
        Path: The joined path
    """
+    base = base.resolve()
    joined_path = base.joinpath(*paths).resolve()

    if CFG.restrict_to_workspace and not joined_path.is_relative_to(base):
--- a/azure.yaml.template
+++ b/azure.yaml.template
@@ -1,4 +1,4 @@
-azure_api_type: azure_ad
+azure_api_type: azure
 azure_api_base: your-base-url-for-azure
 azure_api_version: api-version-for-azure
 azure_model_map:
--- a/requirements.txt
+++ b/requirements.txt
@@ -20,6 +20,8 @@ webdriver-manager
 jsonschema
 tweepy
 click
+spacy>=3.0.0,<4.0.0
+en_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.4.0/en_core_web_sm-3.4.0-py3-none-any.whl

 ##Dev
 coverage
@@ -27,7 +29,6 @@ flake8
 numpy
 pre-commit
 black
-sourcery
 isort
 gitpython==3.1.31