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...

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 ### LLM MODELS
################################################################################ ################################################################################
## SMART_LLM - Smart language model (Default: gpt-4-turbo-preview) ## SMART_LLM - Smart language model (Default: gpt-4-turbo)
# SMART_LLM=gpt-4-turbo-preview # SMART_LLM=gpt-4-turbo
## FAST_LLM - Fast language model (Default: gpt-3.5-turbo-0125) ## FAST_LLM - Fast language model (Default: gpt-3.5-turbo)
# FAST_LLM=gpt-3.5-turbo-0125 # FAST_LLM=gpt-3.5-turbo
## EMBEDDING_MODEL - Model to use for creating embeddings ## EMBEDDING_MODEL - Model to use for creating embeddings
# EMBEDDING_MODEL=text-embedding-3-small # EMBEDDING_MODEL=text-embedding-3-small

View File

@@ -392,7 +392,14 @@ class OneShotAgentPromptStrategy(PromptStrategy):
f"{json.dumps(assistant_reply_dict, indent=4)}" 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: if errors:
raise InvalidAgentResponseError( raise InvalidAgentResponseError(
"Validation of response failed:\n " "Validation of response failed:\n "
@@ -433,7 +440,7 @@ def extract_command(
""" """
if use_openai_functions_api: if use_openai_functions_api:
if not assistant_reply.tool_calls: 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"] = { assistant_reply_json["command"] = {
"name": assistant_reply.tool_calls[0].function.name, "name": assistant_reply.tool_calls[0].function.name,
"args": assistant_reply.tool_calls[0].function.arguments, "args": assistant_reply.tool_calls[0].function.arguments,

View File

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

View File

@@ -24,6 +24,7 @@ from autogpt.core.resource.model_providers.openai import (
OpenAIModelName, OpenAIModelName,
) )
from autogpt.file_storage import FileStorageBackendName from autogpt.file_storage import FileStorageBackendName
from autogpt.logs.config import LoggingConfig
from autogpt.plugins.plugins_config import PluginsConfig from autogpt.plugins.plugins_config import PluginsConfig
from autogpt.speech import TTSConfig from autogpt.speech import TTSConfig
@@ -58,6 +59,7 @@ class Config(SystemSettings, arbitrary_types_allowed=True):
) )
# TTS configuration # TTS configuration
logging: LoggingConfig = LoggingConfig()
tts_config: TTSConfig = TTSConfig() tts_config: TTSConfig = TTSConfig()
# File storage # File storage
@@ -287,7 +289,7 @@ class ConfigBuilder(Configurable[Config]):
def assert_config_has_openai_api_key(config: Config) -> None: 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.""" """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 = ( openai_api_key = (
config.openai_credentials.api_key.get_secret_value() config.openai_credentials.api_key.get_secret_value()
if config.openai_credentials if config.openai_credentials

View File

@@ -70,9 +70,11 @@ class OpenAIModelName(str, enum.Enum):
GPT4_v3 = "gpt-4-1106-preview" GPT4_v3 = "gpt-4-1106-preview"
GPT4_v3_VISION = "gpt-4-1106-vision-preview" GPT4_v3_VISION = "gpt-4-1106-vision-preview"
GPT4_v4 = "gpt-4-0125-preview" GPT4_v4 = "gpt-4-0125-preview"
GPT4_v5 = "gpt-4-turbo-2024-04-09"
GPT4_ROLLING = "gpt-4" GPT4_ROLLING = "gpt-4"
GPT4_ROLLING_32k = "gpt-4-32k" 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_VISION = "gpt-4-vision-preview"
GPT4 = GPT4_ROLLING GPT4 = GPT4_ROLLING
GPT4_32k = GPT4_ROLLING_32k GPT4_32k = GPT4_ROLLING_32k
@@ -180,8 +182,10 @@ chat_model_mapping = {
OpenAIModelName.GPT4_TURBO: [ OpenAIModelName.GPT4_TURBO: [
OpenAIModelName.GPT4_v3, OpenAIModelName.GPT4_v3,
OpenAIModelName.GPT4_v3_VISION, OpenAIModelName.GPT4_v3_VISION,
OpenAIModelName.GPT4_v4,
OpenAIModelName.GPT4_VISION, OpenAIModelName.GPT4_VISION,
OpenAIModelName.GPT4_v4,
OpenAIModelName.GPT4_TURBO_PREVIEW,
OpenAIModelName.GPT4_v5,
], ],
} }
for base, copies in chat_model_mapping.items(): 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) "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( raise ValueError(
f"Failed to parse JSON string: {json_str}", *json_result.errors 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_format: Optional[LogFormatName | str] = None,
log_file_format: Optional[LogFormatName | str] = None, log_file_format: Optional[LogFormatName | str] = None,
plain_console_output: Optional[bool] = None, plain_console_output: Optional[bool] = None,
config: Optional[LoggingConfig] = None,
tts_config: Optional[TTSConfig] = None, tts_config: Optional[TTSConfig] = None,
) -> None: ) -> None:
"""Configure the native logging module, based on the environment config and any """Configure the native logging module, based on the environment config and any
specified overrides. specified overrides.
Arguments override values specified in the environment. 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 Should be usable as `configure_logging(**config.logging.dict())`, where
`config.logging` is a `LoggingConfig` object. `config.logging` is a `LoggingConfig` object.
@@ -111,14 +113,16 @@ def configure_logging(
elif not isinstance(log_file_format, LogFormatName): elif not isinstance(log_file_format, LogFormatName):
raise ValueError(f"Unknown log format '{log_format}'") raise ValueError(f"Unknown log format '{log_format}'")
config = LoggingConfig.from_env() config = config or LoggingConfig.from_env()
# Aggregate arguments + env config # Aggregate env config + arguments
level = logging.DEBUG if debug else level or config.level config.level = logging.DEBUG if debug else level or config.level
log_dir = log_dir or config.log_dir config.log_dir = log_dir or config.log_dir
log_format = log_format or (LogFormatName.DEBUG if debug else config.log_format) config.log_format = log_format or (
log_file_format = log_file_format or log_format or config.log_file_format LogFormatName.DEBUG if debug else config.log_format
plain_console_output = ( )
config.log_file_format = log_file_format or log_format or config.log_file_format
config.plain_console_output = (
plain_console_output plain_console_output
if plain_console_output is not None if plain_console_output is not None
else config.plain_console_output else config.plain_console_output
@@ -126,18 +130,18 @@ def configure_logging(
# Structured logging is used for cloud environments, # Structured logging is used for cloud environments,
# where logging to a file makes no sense. # where logging to a file makes no sense.
if log_format == LogFormatName.STRUCTURED: if config.log_format == LogFormatName.STRUCTURED:
plain_console_output = True config.plain_console_output = True
log_file_format = None config.log_file_format = None
# create log directory if it doesn't exist # create log directory if it doesn't exist
if not log_dir.exists(): if not config.log_dir.exists():
log_dir.mkdir() config.log_dir.mkdir()
log_handlers: list[logging.Handler] = [] log_handlers: list[logging.Handler] = []
if log_format in (LogFormatName.DEBUG, LogFormatName.SIMPLE): if config.log_format in (LogFormatName.DEBUG, LogFormatName.SIMPLE):
console_format_template = TEXT_LOG_FORMAT_MAP[log_format] console_format_template = TEXT_LOG_FORMAT_MAP[config.log_format]
console_formatter = AutoGptFormatter(console_format_template) console_formatter = AutoGptFormatter(console_format_template)
else: else:
console_formatter = StructuredLoggingFormatter() console_formatter = StructuredLoggingFormatter()
@@ -145,7 +149,7 @@ def configure_logging(
# Console output handlers # Console output handlers
stdout = logging.StreamHandler(stream=sys.stdout) stdout = logging.StreamHandler(stream=sys.stdout)
stdout.setLevel(level) stdout.setLevel(config.level)
stdout.addFilter(BelowLevelFilter(logging.WARNING)) stdout.addFilter(BelowLevelFilter(logging.WARNING))
stdout.setFormatter(console_formatter) stdout.setFormatter(console_formatter)
stderr = logging.StreamHandler() stderr = logging.StreamHandler()
@@ -162,7 +166,7 @@ def configure_logging(
user_friendly_output_logger = logging.getLogger(USER_FRIENDLY_OUTPUT_LOGGER) user_friendly_output_logger = logging.getLogger(USER_FRIENDLY_OUTPUT_LOGGER)
user_friendly_output_logger.setLevel(logging.INFO) user_friendly_output_logger.setLevel(logging.INFO)
user_friendly_output_logger.addHandler( 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: if tts_config:
user_friendly_output_logger.addHandler(TTSHandler(tts_config)) user_friendly_output_logger.addHandler(TTSHandler(tts_config))
@@ -170,22 +174,26 @@ def configure_logging(
user_friendly_output_logger.propagate = False user_friendly_output_logger.propagate = False
# File output handlers # File output handlers
if log_file_format is not None: if config.log_file_format is not None:
if level < logging.ERROR: if config.level < logging.ERROR:
file_output_format_template = TEXT_LOG_FORMAT_MAP[log_file_format] file_output_format_template = TEXT_LOG_FORMAT_MAP[config.log_file_format]
file_output_formatter = AutoGptFormatter( file_output_formatter = AutoGptFormatter(
file_output_format_template, no_color=True file_output_format_template, no_color=True
) )
# INFO log file handler # INFO log file handler
activity_log_handler = logging.FileHandler(log_dir / LOG_FILE, "a", "utf-8") activity_log_handler = logging.FileHandler(
activity_log_handler.setLevel(level) config.log_dir / LOG_FILE, "a", "utf-8"
)
activity_log_handler.setLevel(config.level)
activity_log_handler.setFormatter(file_output_formatter) activity_log_handler.setFormatter(file_output_formatter)
log_handlers += [activity_log_handler] log_handlers += [activity_log_handler]
user_friendly_output_logger.addHandler(activity_log_handler) user_friendly_output_logger.addHandler(activity_log_handler)
# ERROR log file 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.setLevel(logging.ERROR)
error_log_handler.setFormatter( error_log_handler.setFormatter(
AutoGptFormatter(DEBUG_LOG_FORMAT, no_color=True) AutoGptFormatter(DEBUG_LOG_FORMAT, no_color=True)
@@ -196,7 +204,7 @@ def configure_logging(
# Configure the root logger # Configure the root logger
logging.basicConfig( logging.basicConfig(
format=console_format_template, format=console_format_template,
level=level, level=config.level,
handlers=log_handlers, handlers=log_handlers,
) )

View File

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