Compare commits

...

12 Commits

Author SHA1 Message Date
Reinier van der Leer
26324f2984 fix(agent): Update .env.template to match changes in 370615e 2024-04-26 19:35:09 +02:00
Reinier van der Leer
ba5d0c8627 feat(agent): Add support for new gpt-4-turbo model and set as default SMART_LLM 2024-04-26 19:35:01 +02:00
Reinier van der Leer
7d727d1b54 fix(agent): Fix OneShotAgentPromptStrategy parser when using functions/tools API
Also:
- Improve error message when the LLM doesn't call any tools
2024-04-26 19:34:49 +02:00
Reinier van der Leer
d2260bec5a fix(agent): Expand failure check in json_loads(..)
Not only check if the resulting object is `demjson3.undefined`, but also `demjson3.syntax_error`.
2024-04-26 19:34:44 +02:00
Reinier van der Leer
a88d5fca86 chore(agent): Update duckduckgo-search to v5.3.0 2024-04-26 19:33:32 +02:00
Reinier van der Leer
0ecb233101 fix(agent): Fix crash when LOG_FORMAT=structured_google_cloud
Another piece of fallout from cf00c33 - fix(agent): Fix debug logging & amend configure_logging for easier use
2024-04-26 19:33:25 +02:00
Nicholas Tindle
27e92dad4f fix(agent/setup): Fix installing ONNXRuntime on macOS on some architectures (#7022)
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
2024-04-26 19:33:15 +02:00
Fullstop000
7430e011f1 fix(agent): Support OpenAI Project API keys (#7099)
Amend regex expression in config.py that OpenAI API keys are validated against

Signed-off-by: Fullstop000 <fullstop1005@gmail.com>
2024-04-26 19:33:08 +02:00
Reinier van der Leer
706bff4778 fix(agent): Full fix for CLI breakage introduced in cf00c33 2024-04-26 19:31:38 +02:00
Reinier van der Leer
3d10637a5d Merge commit '6ff02677d2b30bec8edd5bafcb35e399e33217da' into release-autogpt-v0.5.x 2024-04-26 19:29:34 +02:00
Reinier van der Leer
af3ebdf6af fix(agent/release): Add gitpython as a direct dependency
gitpython was installed as an indirect dependency via agbenchmark. The release builds don't contain agbenchmark and thus also lack the gitpython package, which breaks the image.
2023-12-14 16:16:10 +01:00
Reinier van der Leer
65151cdc7e fix(agent/release): Move auto-gpt-plugin-template to regular dependencies
- Move `auto-gpt-plugin-template` from dev dependencies to regular dependencies in `pyproject.toml`.
- Fixes #6566 - No module named 'auto_gpt_plugin_template'.
2023-12-14 13:37:57 +01:00
9 changed files with 167 additions and 141 deletions

View File

@@ -90,11 +90,11 @@ OPENAI_API_KEY=your-openai-api-key
### LLM MODELS
################################################################################
## SMART_LLM - Smart language model (Default: gpt-4-turbo-preview)
# SMART_LLM=gpt-4-turbo-preview
## SMART_LLM - Smart language model (Default: gpt-4-turbo)
# SMART_LLM=gpt-4-turbo
## FAST_LLM - Fast language model (Default: gpt-3.5-turbo-0125)
# FAST_LLM=gpt-3.5-turbo-0125
## FAST_LLM - Fast language model (Default: gpt-3.5-turbo)
# FAST_LLM=gpt-3.5-turbo
## EMBEDDING_MODEL - Model to use for creating embeddings
# EMBEDDING_MODEL=text-embedding-3-small

View File

@@ -392,7 +392,14 @@ class OneShotAgentPromptStrategy(PromptStrategy):
f"{json.dumps(assistant_reply_dict, indent=4)}"
)
_, errors = self.response_schema.validate_object(assistant_reply_dict)
response_schema = self.response_schema.copy(deep=True)
if (
self.config.use_functions_api
and response_schema.properties
and "command" in response_schema.properties
):
del response_schema.properties["command"]
_, errors = response_schema.validate_object(assistant_reply_dict)
if errors:
raise InvalidAgentResponseError(
"Validation of response failed:\n "
@@ -433,7 +440,7 @@ def extract_command(
"""
if use_openai_functions_api:
if not assistant_reply.tool_calls:
raise InvalidAgentResponseError("No 'tool_calls' in assistant reply")
raise InvalidAgentResponseError("Assistant did not use any tools")
assistant_reply_json["command"] = {
"name": assistant_reply.tool_calls[0].function.name,
"args": assistant_reply.tool_calls[0].function.arguments,

View File

@@ -102,6 +102,7 @@ async def run_auto_gpt(
level=log_level,
log_format=log_format,
log_file_format=log_file_format,
config=config.logging,
tts_config=config.tts_config,
)
@@ -384,6 +385,7 @@ async def run_auto_gpt_server(
level=log_level,
log_format=log_format,
log_file_format=log_file_format,
config=config.logging,
tts_config=config.tts_config,
)

View File

@@ -24,6 +24,7 @@ from autogpt.core.resource.model_providers.openai import (
OpenAIModelName,
)
from autogpt.file_storage import FileStorageBackendName
from autogpt.logs.config import LoggingConfig
from autogpt.plugins.plugins_config import PluginsConfig
from autogpt.speech import TTSConfig
@@ -58,6 +59,7 @@ class Config(SystemSettings, arbitrary_types_allowed=True):
)
# TTS configuration
logging: LoggingConfig = LoggingConfig()
tts_config: TTSConfig = TTSConfig()
# File storage
@@ -287,7 +289,7 @@ class ConfigBuilder(Configurable[Config]):
def assert_config_has_openai_api_key(config: Config) -> None:
"""Check if the OpenAI API key is set in config.py or as an environment variable."""
key_pattern = r"^sk-\w{48}"
key_pattern = r"^sk-(proj-)?\w{48}"
openai_api_key = (
config.openai_credentials.api_key.get_secret_value()
if config.openai_credentials

View File

@@ -70,9 +70,11 @@ class OpenAIModelName(str, enum.Enum):
GPT4_v3 = "gpt-4-1106-preview"
GPT4_v3_VISION = "gpt-4-1106-vision-preview"
GPT4_v4 = "gpt-4-0125-preview"
GPT4_v5 = "gpt-4-turbo-2024-04-09"
GPT4_ROLLING = "gpt-4"
GPT4_ROLLING_32k = "gpt-4-32k"
GPT4_TURBO = "gpt-4-turbo-preview"
GPT4_TURBO = "gpt-4-turbo"
GPT4_TURBO_PREVIEW = "gpt-4-turbo-preview"
GPT4_VISION = "gpt-4-vision-preview"
GPT4 = GPT4_ROLLING
GPT4_32k = GPT4_ROLLING_32k
@@ -180,8 +182,10 @@ chat_model_mapping = {
OpenAIModelName.GPT4_TURBO: [
OpenAIModelName.GPT4_v3,
OpenAIModelName.GPT4_v3_VISION,
OpenAIModelName.GPT4_v4,
OpenAIModelName.GPT4_VISION,
OpenAIModelName.GPT4_v4,
OpenAIModelName.GPT4_TURBO_PREVIEW,
OpenAIModelName.GPT4_v5,
],
}
for base, copies in chat_model_mapping.items():

View File

@@ -39,7 +39,7 @@ def json_loads(json_str: str) -> Any:
"JSON parse errors:\n" + "\n".join(str(e) for e in json_result.errors)
)
if json_result.object is demjson3.undefined:
if json_result.object in (demjson3.syntax_error, demjson3.undefined):
raise ValueError(
f"Failed to parse JSON string: {json_str}", *json_result.errors
)

View File

@@ -81,12 +81,14 @@ def configure_logging(
log_format: Optional[LogFormatName | str] = None,
log_file_format: Optional[LogFormatName | str] = None,
plain_console_output: Optional[bool] = None,
config: Optional[LoggingConfig] = None,
tts_config: Optional[TTSConfig] = None,
) -> None:
"""Configure the native logging module, based on the environment config and any
specified overrides.
Arguments override values specified in the environment.
Overrides are also applied to `config`, if passed.
Should be usable as `configure_logging(**config.logging.dict())`, where
`config.logging` is a `LoggingConfig` object.
@@ -111,14 +113,16 @@ def configure_logging(
elif not isinstance(log_file_format, LogFormatName):
raise ValueError(f"Unknown log format '{log_format}'")
config = LoggingConfig.from_env()
config = config or LoggingConfig.from_env()
# Aggregate arguments + env config
level = logging.DEBUG if debug else level or config.level
log_dir = log_dir or config.log_dir
log_format = log_format or (LogFormatName.DEBUG if debug else config.log_format)
log_file_format = log_file_format or log_format or config.log_file_format
plain_console_output = (
# Aggregate env config + arguments
config.level = logging.DEBUG if debug else level or config.level
config.log_dir = log_dir or config.log_dir
config.log_format = log_format or (
LogFormatName.DEBUG if debug else config.log_format
)
config.log_file_format = log_file_format or log_format or config.log_file_format
config.plain_console_output = (
plain_console_output
if plain_console_output is not None
else config.plain_console_output
@@ -126,18 +130,18 @@ def configure_logging(
# Structured logging is used for cloud environments,
# where logging to a file makes no sense.
if log_format == LogFormatName.STRUCTURED:
plain_console_output = True
log_file_format = None
if config.log_format == LogFormatName.STRUCTURED:
config.plain_console_output = True
config.log_file_format = None
# create log directory if it doesn't exist
if not log_dir.exists():
log_dir.mkdir()
if not config.log_dir.exists():
config.log_dir.mkdir()
log_handlers: list[logging.Handler] = []
if log_format in (LogFormatName.DEBUG, LogFormatName.SIMPLE):
console_format_template = TEXT_LOG_FORMAT_MAP[log_format]
if config.log_format in (LogFormatName.DEBUG, LogFormatName.SIMPLE):
console_format_template = TEXT_LOG_FORMAT_MAP[config.log_format]
console_formatter = AutoGptFormatter(console_format_template)
else:
console_formatter = StructuredLoggingFormatter()
@@ -145,7 +149,7 @@ def configure_logging(
# Console output handlers
stdout = logging.StreamHandler(stream=sys.stdout)
stdout.setLevel(level)
stdout.setLevel(config.level)
stdout.addFilter(BelowLevelFilter(logging.WARNING))
stdout.setFormatter(console_formatter)
stderr = logging.StreamHandler()
@@ -162,7 +166,7 @@ def configure_logging(
user_friendly_output_logger = logging.getLogger(USER_FRIENDLY_OUTPUT_LOGGER)
user_friendly_output_logger.setLevel(logging.INFO)
user_friendly_output_logger.addHandler(
typing_console_handler if not plain_console_output else stdout
typing_console_handler if not config.plain_console_output else stdout
)
if tts_config:
user_friendly_output_logger.addHandler(TTSHandler(tts_config))
@@ -170,22 +174,26 @@ def configure_logging(
user_friendly_output_logger.propagate = False
# File output handlers
if log_file_format is not None:
if level < logging.ERROR:
file_output_format_template = TEXT_LOG_FORMAT_MAP[log_file_format]
if config.log_file_format is not None:
if config.level < logging.ERROR:
file_output_format_template = TEXT_LOG_FORMAT_MAP[config.log_file_format]
file_output_formatter = AutoGptFormatter(
file_output_format_template, no_color=True
)
# INFO log file handler
activity_log_handler = logging.FileHandler(log_dir / LOG_FILE, "a", "utf-8")
activity_log_handler.setLevel(level)
activity_log_handler = logging.FileHandler(
config.log_dir / LOG_FILE, "a", "utf-8"
)
activity_log_handler.setLevel(config.level)
activity_log_handler.setFormatter(file_output_formatter)
log_handlers += [activity_log_handler]
user_friendly_output_logger.addHandler(activity_log_handler)
# ERROR log file handler
error_log_handler = logging.FileHandler(log_dir / ERROR_LOG_FILE, "a", "utf-8")
error_log_handler = logging.FileHandler(
config.log_dir / ERROR_LOG_FILE, "a", "utf-8"
)
error_log_handler.setLevel(logging.ERROR)
error_log_handler.setFormatter(
AutoGptFormatter(DEBUG_LOG_FORMAT, no_color=True)
@@ -196,7 +204,7 @@ def configure_logging(
# Configure the root logger
logging.basicConfig(
format=console_format_template,
level=level,
level=config.level,
handlers=log_handlers,
)

View File

@@ -1709,22 +1709,23 @@ websockets = ["websocket-client (>=1.3.0)"]
[[package]]
name = "duckduckgo-search"
version = "5.1.0"
version = "5.3.0"
description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
optional = false
python-versions = ">=3.8"
files = [
{file = "duckduckgo_search-5.1.0-py3-none-any.whl", hash = "sha256:691a3e1c948ab9c4409af7891557bdfff66b9f0c521336b008bbc91675ba5353"},
{file = "duckduckgo_search-5.1.0.tar.gz", hash = "sha256:27522d05f1e3dc5c2fbe95bd12cc32ff96a790cf8ee993b2949158dee0dbfb1f"},
{file = "duckduckgo_search-5.3.0-py3-none-any.whl", hash = "sha256:c6a6ddc3cdefc6bb7736c49fa9bdbd0a7a6bdf7ace50260cf06f8300341c9441"},
{file = "duckduckgo_search-5.3.0.tar.gz", hash = "sha256:da6328f977295077d1095625474060b688980ae14bc196cee05f13a74f801e9a"},
]
[package.dependencies]
click = ">=8.1.7"
curl-cffi = ">=0.6.2"
lxml = ">=5.1.0"
orjson = ">=3.10.0"
[package.extras]
dev = ["mypy (>=1.8.0)", "pytest (>=8.0.1)", "ruff (>=0.3.0)"]
dev = ["mypy (>=1.9.0)", "pytest (>=8.1.1)", "ruff (>=0.3.4)"]
lxml = ["lxml (>=5.1.1)"]
[[package]]
name = "en-core-web-sm"
@@ -3859,35 +3860,36 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
[[package]]
name = "onnxruntime"
version = "1.16.3"
version = "1.17.1"
description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
optional = false
python-versions = "*"
files = [
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