repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
openai-agents-python | src/agents/sandbox/util/token_truncation.py | .py | from __future__ import annotations
from dataclasses import dataclass
from typing import Literal
APPROX_BYTES_PER_TOKEN = 4
TruncationMode = Literal["bytes", "tokens"]
@dataclass(frozen=True)
class TruncationPolicy:
mode: TruncationMode
limit: int
@classmethod
def bytes(cls, limit: int) -> Truncati... | 242 | 7,304 |
openai-agents-python | src/agents/sandbox/util/__init__.py | .py | from .deep_merge import deep_merge
from .github import clone_repo, ensure_git_available
from .parse_utils import parse_ls_la
from .retry import (
DEFAULT_TRANSIENT_RETRY_BACKOFF,
DEFAULT_TRANSIENT_RETRY_INTERVAL_S,
DEFAULT_TRANSIENT_RETRY_MAX_ATTEMPT,
TRANSIENT_HTTP_STATUS_CODES,
BackoffStrategy,
... | 77 | 2,101 |
openai-agents-python | src/agents/sandbox/util/deep_merge.py | .py | from typing import TypeGuard
def _is_string_object_dict(value: object) -> TypeGuard[dict[str, object]]:
return isinstance(value, dict) and all(isinstance(key, str) for key in value)
def deep_merge(dict1: dict[str, object], dict2: dict[str, object]) -> dict[str, object]:
"""
Recursively merge dict2 into ... | 22 | 753 |
openai-agents-python | src/agents/sandbox/util/iterator_io.py | .py | import io
from collections.abc import Callable, Iterator
from typing import Any, cast
class IteratorIO(io.IOBase):
def __init__(
self,
it: Iterator[bytes],
*,
on_close: Callable[[], object] | None = None,
):
self._it = it
self._on_close = on_close
self._... | 95 | 2,509 |
openai-agents-python | src/agents/sandbox/util/retry.py | .py | from __future__ import annotations
import asyncio
import functools
import inspect
from collections.abc import Callable, Coroutine, Iterable
from enum import Enum
from typing import ParamSpec, TypeVar, cast
P = ParamSpec("P")
T = TypeVar("T")
class BackoffStrategy(str, Enum):
def __str__(self) -> str:
re... | 128 | 4,248 |
openai-agents-python | src/agents/sandbox/util/parse_utils.py | .py | from ..files import EntryKind, FileEntry
from ..types import Permissions
def parse_ls_la(output: str, *, base: str) -> list[FileEntry]:
entries: list[FileEntry] = []
for raw_line in output.splitlines():
line = raw_line.strip("\n")
if not line or line.startswith("total"):
continue
... | 80 | 2,761 |
openai-agents-python | src/agents/sandbox/util/github.py | .py | from __future__ import annotations
import shutil
import subprocess
from pathlib import Path
def ensure_git_available() -> None:
if shutil.which("git") is None:
raise RuntimeError("git is required to use github_repo artifacts")
def clone_repo(*, repo: str, ref: str, dest: Path) -> None:
"""Shallow c... | 54 | 1,387 |
openai-agents-python | src/agents/run_internal/guardrails.py | .py | from __future__ import annotations
import asyncio
from typing import Any
from ..agent import Agent
from ..exceptions import InputGuardrailTripwireTriggered, OutputGuardrailTripwireTriggered
from ..guardrail import (
InputGuardrail,
InputGuardrailResult,
OutputGuardrail,
OutputGuardrailResult,
)
from .... | 242 | 9,093 |
openai-agents-python | src/agents/run_internal/error_handlers.py | .py | from __future__ import annotations
import inspect
import json
from typing import Any, Literal
from openai.types.responses import ResponseOutputMessage, ResponseOutputText
from ..agent import Agent
from ..agent_output import _WRAPPER_DICT_KEY, AgentOutputSchema
from ..exceptions import (
InputGuardrailTripwireTri... | 263 | 9,075 |
openai-agents-python | src/agents/run_internal/session_persistence.py | .py | """
Session persistence helpers for the run pipeline. Only internal persistence/retry helpers
live here; public session interfaces stay in higher-level modules.
"""
from __future__ import annotations
import asyncio
import copy
import inspect
import json
from collections import deque
from collections.abc import Sequen... | 1,171 | 43,751 |
openai-agents-python | src/agents/run_internal/run_grouping.py | .py | from __future__ import annotations
from typing import Literal
from uuid import uuid4
from ..memory import Session
RunGroupingKind = Literal["conversation", "session", "group", "run"]
RunGrouping = tuple[RunGroupingKind, str]
def resolve_run_grouping(
*,
conversation_id: str | None,
session: Session | N... | 60 | 1,547 |
openai-agents-python | src/agents/run_internal/tool_execution.py | .py | """
Tool execution helpers for the run pipeline. This module hosts execution-time helpers,
approval plumbing, and payload coercion. Action classes live in tool_actions.py.
"""
from __future__ import annotations
import asyncio
import copy
import dataclasses
import functools
import inspect
import json
from collections.... | 2,776 | 104,268 |
openai-agents-python | src/agents/run_internal/tool_actions.py | .py | """
Action executors used by the run loop. This module only houses XXXAction classes; helper
functions and approval plumbing live in tool_execution.py.
"""
from __future__ import annotations
import copy
import dataclasses
import inspect
import json
from collections.abc import Callable
from typing import TYPE_CHECKING... | 1,081 | 41,416 |
openai-agents-python | src/agents/run_internal/approvals.py | .py | """
Helpers for approval handling within the run loop. Keep only execution-time utilities that
coordinate approval placeholders and normalization; public APIs should stay in run.py or
peer modules.
"""
from __future__ import annotations
from collections.abc import Sequence
from typing import Any
from openai.types.re... | 103 | 3,365 |
openai-agents-python | src/agents/run_internal/__init__.py | .py | """
Internal helpers shared by the agent run pipeline. Public-facing APIs (e.g., RunConfig,
RunOptions) belong at the top-level; only execution-time utilities that are not part of the
surface area should live under run_internal.
"""
from __future__ import annotations
| 8 | 269 |
openai-agents-python | src/agents/run_internal/run_steps.py | .py | """
Internal step/result data structures used by the run loop orchestration.
These types are not part of the public SDK surface.
"""
from __future__ import annotations
import dataclasses
from dataclasses import dataclass
from typing import Any
from openai.types.responses import ResponseComputerToolCall, ResponseFunc... | 233 | 6,862 |
openai-agents-python | src/agents/run_internal/agent_runner_helpers.py | .py | """Internal helpers for AgentRunner.run."""
from __future__ import annotations
from collections.abc import Mapping
from typing import Any, cast
from openai.types.responses.response_usage import OutputTokensDetails
from ..agent import Agent
from ..agent_tool_state import set_agent_tool_state_scope
from ..exceptions ... | 580 | 21,720 |
openai-agents-python | src/agents/run_internal/oai_conversation.py | .py | """
Conversation-state helpers used during agent runs. This module should only host internal
tracking and normalization logic for conversation-aware execution, not public-facing APIs.
"""
from __future__ import annotations
from collections.abc import Sequence
from dataclasses import dataclass, field
from typing impor... | 693 | 30,211 |
openai-agents-python | src/agents/run_internal/tool_use_tracker.py | .py | """
Tool-use tracking utilities. Hosts AgentToolUseTracker and helpers to serialize/deserialize
its state plus lightweight tool-call type utilities. Internal use only.
"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, get_args, get_origin
from .._tool_identity import get_function_tool_tra... | 181 | 6,339 |
openai-agents-python | src/agents/run_internal/agent_bindings.py | .py | from __future__ import annotations
from dataclasses import dataclass
from typing import Generic
from ..agent import Agent
from ..run_context import TContext
__all__ = [
"AgentBindings",
"bind_execution_agent",
"bind_public_agent",
]
@dataclass(frozen=True)
class AgentBindings(Generic[TContext]):
""... | 39 | 1,019 |
openai-agents-python | src/agents/run_internal/prompt_cache_key.py | .py | from __future__ import annotations
from collections.abc import Mapping
from dataclasses import dataclass, replace as dataclass_replace
from hashlib import sha256
from typing import Any
from ..memory import Session
from ..model_settings import ModelSettings
from ..run_state import RunState
from .run_grouping import Ru... | 131 | 4,384 |
openai-agents-python | src/agents/run_internal/turn_resolution.py | .py | from __future__ import annotations
import inspect
from collections.abc import Awaitable, Callable, Container, Mapping, Sequence
from copy import deepcopy
from dataclasses import replace
from typing import Any, Literal, cast
from openai.types.responses import (
ResponseCompactionItem,
ResponseComputerToolCall,... | 3,619 | 148,886 |
openai-agents-python | src/agents/run_internal/run_loop.py | .py | """
Run-loop orchestration helpers used by the Agent runner. This module coordinates tool execution,
approvals, and turn processing; all symbols here are internal and not part of the public SDK.
"""
from __future__ import annotations
import asyncio
import dataclasses as _dc
from collections.abc import Awaitable, Call... | 2,493 | 108,529 |
openai-agents-python | src/agents/run_internal/_asyncio_progress.py | .py | """Best-effort progress inspection for cancelled function-tool tasks.
These helpers prefer public coroutine introspection first, then fall back to a
small set of private asyncio attributes for patterns that still hide their
driving tasks or deadlines (`Task._fut_waiter`, gather `_children`, shield
callbacks, and loop ... | 192 | 6,932 |
openai-agents-python | src/agents/run_internal/model_retry.py | .py | from __future__ import annotations
import asyncio
import random
from collections.abc import AsyncGenerator, AsyncIterator, Awaitable, Callable, Mapping
from inspect import isawaitable
from typing import Any, TypeVar
import httpx2
from openai import APIConnectionError, APITimeoutError, BadRequestError
from .._httpx_c... | 892 | 34,956 |
openai-agents-python | src/agents/run_internal/tool_caller.py | .py | from __future__ import annotations
import json
from collections.abc import Collection, Sequence
from typing import Any
from ..exceptions import ModelBehaviorError
from ..tool import ToolCaller
from ..tracing import SpanError
from ..util import _error_tracing
def ensure_tool_caller_allowed(
*,
tool_call: Any... | 130 | 4,509 |
openai-agents-python | src/agents/run_internal/tool_planning.py | .py | from __future__ import annotations
import asyncio
import dataclasses as _dc
import inspect
import json
from collections.abc import Awaitable, Callable, Hashable, Mapping, Sequence
from typing import Any, TypeVar, cast
from openai.types.responses import ResponseFunctionToolCall
from openai.types.responses.response_inp... | 1,102 | 43,377 |
openai-agents-python | src/agents/run_internal/streaming.py | .py | from __future__ import annotations
import asyncio
from ..items import (
CompactionItem,
HandoffCallItem,
HandoffOutputItem,
MCPApprovalRequestItem,
MCPApprovalResponseItem,
MCPListToolsItem,
MessageOutputItem,
ReasoningItem,
RunItem,
ToolApprovalItem,
ToolCallItem,
Tool... | 74 | 2,994 |
openai-agents-python | src/agents/run_internal/items.py | .py | """
Item utilities for the run pipeline. Hosts input normalization helpers and lightweight builders
for synthetic run items or IDs used during tool execution. Internal use only.
"""
from __future__ import annotations
import hashlib
import json
from collections import deque
from collections.abc import Sequence
from da... | 1,098 | 42,114 |
openai-agents-python | src/agents/run_internal/turn_preparation.py | .py | from __future__ import annotations
import inspect
from typing import Any
from ..agent import Agent
from ..agent_output import AgentOutputSchema, AgentOutputSchemaBase
from ..exceptions import UserError
from ..handoffs import Handoff, handoff
from ..items import TResponseInputItem
from ..lifecycle import AgentHooksBas... | 168 | 6,297 |
openai-agents-python | src/agents/extensions/handoff_prompt.py | .py | # A recommended prompt prefix for agents that use handoffs. We recommend including this or
# similar instructions in any agents that use handoffs.
RECOMMENDED_PROMPT_PREFIX = (
"# System context\n"
"You are part of a multi-agent system called the Agents SDK, designed to make agent "
"coordination and execut... | 20 | 1,006 |
openai-agents-python | src/agents/extensions/visualization.py | .py | from __future__ import annotations
import graphviz # type: ignore
from agents import Agent
from agents.handoffs import Handoff
def _escape_label(name: str) -> str:
"""Escape a name for use inside a Graphviz double-quoted ID or label.
Backslashes are escaped first, then double quotes and line breaks, so a ... | 193 | 5,905 |
openai-agents-python | src/agents/extensions/__init__.py | .py | from .tool_output_trimmer import ToolOutputTrimmer
__all__ = ["ToolOutputTrimmer"]
| 4 | 84 |
openai-agents-python | src/agents/extensions/handoff_filters.py | .py | """Contains common handoff input filters, for convenience."""
from __future__ import annotations
from ..handoffs import (
HandoffInputData,
default_handoff_history_mapper,
nest_handoff_history,
)
from ..items import (
HandoffCallItem,
HandoffOutputItem,
MCPApprovalRequestItem,
MCPApprovalR... | 119 | 3,637 |
openai-agents-python | src/agents/extensions/tool_output_trimmer.py | .py | """Built-in call_model_input_filter that trims large tool outputs from older turns.
Agentic applications often accumulate large tool outputs (search results, code execution
output, error analyses) that consume significant tokens but lose relevance as the
conversation progresses. This module provides a configurable fil... | 503 | 20,898 |
openai-agents-python | src/agents/extensions/sandbox/__init__.py | .py | try:
from .e2b import (
E2BCloudBucketMountStrategy as E2BCloudBucketMountStrategy,
E2BSandboxClient as E2BSandboxClient,
E2BSandboxClientOptions as E2BSandboxClientOptions,
E2BSandboxSession as E2BSandboxSession,
E2BSandboxSessionState as E2BSandboxSessionState,
E2BS... | 214 | 7,038 |
openai-agents-python | src/agents/extensions/sandbox/_rclone.py | .py | from __future__ import annotations
from ...sandbox.entries.mounts.patterns import RcloneMountPattern
from ...sandbox.errors import MountConfigError
from ...sandbox.session.base_sandbox_session import BaseSandboxSession
_APT = "DEBIAN_FRONTEND=noninteractive DEBCONF_NOWARNINGS=yes apt-get -o Dpkg::Use-Pty=0"
_RCLONE_C... | 193 | 6,993 |
openai-agents-python | src/agents/extensions/sandbox/e2b/mounts.py | .py | """Mount strategy for E2B sandboxes."""
from __future__ import annotations
from pathlib import Path
from typing import Literal
from ....sandbox._mount_security import (
redact_mount_error_data,
validate_mount_activation_credential_boundary,
)
from ....sandbox.entries.mounts.base import InContainerMountStrate... | 158 | 5,065 |
openai-agents-python | src/agents/extensions/sandbox/e2b/__init__.py | .py | from __future__ import annotations
from .mounts import E2BCloudBucketMountStrategy
from .sandbox import (
E2BSandboxClient,
E2BSandboxClientOptions,
E2BSandboxSession,
E2BSandboxSessionState,
E2BSandboxTimeouts,
E2BSandboxType,
_E2BSandboxFactoryAPI,
_encode_e2b_snapshot_ref,
_impor... | 30 | 683 |
openai-agents-python | src/agents/extensions/sandbox/e2b/sandbox.py | .py | """
E2B sandbox (https://e2b.dev) implementation.
Create an E2B account and export `E2B_API_KEY` to configure E2B locally.
This module provides an E2B-backed sandbox client/session implementation backed by
the E2B SDK sandbox classes.
Note: The `e2b` and `e2b-code-interpreter` dependencies are intended to be optiona... | 1,861 | 68,497 |
openai-agents-python | src/agents/extensions/sandbox/cloudflare/mounts.py | .py | from __future__ import annotations
from dataclasses import dataclass
from pathlib import Path
from typing import Literal
from ....sandbox._mount_security import redact_mount_error_data
from ....sandbox.entries import GCSMount, Mount, R2Mount, S3Mount
from ....sandbox.entries.mounts.base import MountStrategyBase
from ... | 250 | 9,140 |
openai-agents-python | src/agents/extensions/sandbox/cloudflare/__init__.py | .py | from __future__ import annotations
from .mounts import CloudflareBucketMountConfig, CloudflareBucketMountStrategy
from .sandbox import (
CloudflareSandboxClient,
CloudflareSandboxClientOptions,
CloudflareSandboxSession,
CloudflareSandboxSessionState,
)
__all__ = [
"CloudflareBucketMountConfig",
... | 19 | 495 |
openai-agents-python | src/agents/extensions/sandbox/cloudflare/sandbox.py | .py | """
Cloudflare sandbox (https://developers.cloudflare.com/sandbox/) implementation.
This module provides a Cloudflare Worker-backed sandbox client/session implementation.
The sandbox communicates with a Cloudflare Worker service over HTTP and WebSocket.
Note: The `aiohttp` dependency is intended to be optional (insta... | 1,717 | 65,792 |
openai-agents-python | src/agents/extensions/sandbox/blaxel/mounts.py | .py | """
Mount strategies for Blaxel sandboxes.
Two strategies are provided:
* **BlaxelCloudBucketMountStrategy** -- mounts S3, R2, and GCS buckets via FUSE tools
(``s3fs``, ``gcsfuse``) executed inside the sandbox. Credential-bearing mounts require
an exact-path runtime acknowledgement on the trusted manifest.
* **B... | 752 | 26,926 |
openai-agents-python | src/agents/extensions/sandbox/blaxel/__init__.py | .py | from __future__ import annotations
from ....sandbox.errors import (
ExposedPortUnavailableError,
InvalidManifestPathError,
WorkspaceArchiveReadError,
)
from .mounts import (
BlaxelCloudBucketMountConfig,
BlaxelCloudBucketMountStrategy,
BlaxelDriveMount,
BlaxelDriveMountConfig,
BlaxelDri... | 40 | 989 |
openai-agents-python | src/agents/extensions/sandbox/blaxel/sandbox.py | .py | """
Blaxel sandbox (https://blaxel.ai) implementation.
This module provides a Blaxel-backed sandbox client/session implementation backed by
``blaxel.core.sandbox.SandboxInstance``.
The ``blaxel`` dependency is optional, so package-level exports should guard imports of this
module. Within this module, Blaxel SDK impor... | 1,326 | 50,031 |
openai-agents-python | src/agents/extensions/sandbox/runloop/mounts.py | .py | """Mount strategy for Runloop sandboxes."""
from __future__ import annotations
from pathlib import Path
from typing import Literal
from ....sandbox._mount_security import (
redact_mount_error_data,
validate_mount_activation_credential_boundary,
)
from ....sandbox.entries.mounts.base import InContainerMountSt... | 204 | 6,826 |
openai-agents-python | src/agents/extensions/sandbox/runloop/__init__.py | .py | from __future__ import annotations
from .mounts import RunloopCloudBucketMountStrategy
from .sandbox import (
DEFAULT_RUNLOOP_ROOT_WORKSPACE_ROOT,
DEFAULT_RUNLOOP_WORKSPACE_ROOT,
RunloopAfterIdle,
RunloopExistingSecret,
RunloopGatewaySpec,
RunloopLaunchParameters,
RunloopMcpSpec,
Runloo... | 54 | 1,545 |
openai-agents-python | src/agents/extensions/sandbox/runloop/sandbox.py | .py | """
Runloop sandbox (https://runloop.ai) implementation.
This module provides a Runloop-backed sandbox client/session implementation backed by
`runloop_api_client.sdk.AsyncRunloopSDK`.
The `runloop_api_client` dependency is optional, so package-level exports should guard imports of
this module. Within this module, Ru... | 1,745 | 67,168 |
openai-agents-python | src/agents/extensions/sandbox/vercel/mounts.py | .py | """Create-time-only S3 mounts for Vercel sandboxes."""
from __future__ import annotations
import asyncio
import shlex
from pathlib import Path
from typing import Literal, NoReturn
from ....exceptions import _mark_error_data_redacted
from ....sandbox._mount_security import (
discard_mount_source_exception,
re... | 606 | 21,207 |
openai-agents-python | src/agents/extensions/sandbox/vercel/__init__.py | .py | from __future__ import annotations
from .mounts import VercelCloudBucketMountStrategy
from .sandbox import (
VercelSandboxClient,
VercelSandboxClientOptions,
VercelSandboxSession,
VercelSandboxSessionState,
)
__all__ = [
"VercelCloudBucketMountStrategy",
"VercelSandboxClient",
"VercelSandb... | 18 | 401 |
openai-agents-python | src/agents/extensions/sandbox/vercel/sandbox.py | .py | """
Vercel sandbox (https://vercel.com) implementation.
This module provides a Vercel-backed sandbox client/session implementation backed by
`vercel.sandbox.AsyncSandbox`.
The `vercel` dependency is optional, so package-level exports should guard imports of this
module. Within this module, Vercel SDK imports are norm... | 1,702 | 66,363 |
openai-agents-python | src/agents/extensions/sandbox/modal/mounts.py | .py | from __future__ import annotations
from dataclasses import dataclass
from pathlib import Path
from typing import Literal
from ....sandbox._mount_security import redact_mount_error_data
from ....sandbox.entries import GCSMount, Mount, R2Mount, S3Mount
from ....sandbox.entries.mounts.base import MountStrategyBase
from ... | 211 | 8,302 |
openai-agents-python | src/agents/extensions/sandbox/modal/__init__.py | .py | from __future__ import annotations
import tarfile
from ....sandbox.snapshot import resolve_snapshot
from .mounts import ModalCloudBucketMountConfig, ModalCloudBucketMountStrategy
from .sandbox import (
_DEFAULT_TIMEOUT_S,
_MODAL_STDIN_CHUNK_SIZE,
ModalImageSelector,
ModalSandboxClient,
ModalSandbo... | 38 | 990 |
openai-agents-python | src/agents/extensions/sandbox/modal/sandbox.py | .py | """
Modal sandbox (https://modal.com) implementation.
Run `python -m modal setup` to configure Modal locally.
This module provides a Modal-backed sandbox client/session implementation backed by
`modal.Sandbox`.
Note: The `modal` dependency is intended to be optional (installed via an extra),
so package-level exports... | 2,317 | 92,885 |
openai-agents-python | src/agents/extensions/sandbox/daytona/mounts.py | .py | """Mount strategy for Daytona sandboxes.
Provides ``DaytonaCloudBucketMountStrategy``, a wrapper around the generic
:class:`InContainerMountStrategy` that ensures ``rclone`` is installed inside
the sandbox before delegating to :class:`RcloneMountPattern`.
Supports credentialless S3, R2, GCS, and Azure Blob mounts thr... | 271 | 9,560 |
openai-agents-python | src/agents/extensions/sandbox/daytona/__init__.py | .py | from __future__ import annotations
from ....sandbox.errors import (
ExposedPortUnavailableError,
InvalidManifestPathError,
WorkspaceArchiveReadError,
)
from .mounts import DaytonaCloudBucketMountStrategy
from .sandbox import (
DEFAULT_DAYTONA_WORKSPACE_ROOT,
DaytonaSandboxClient,
DaytonaSandbox... | 32 | 832 |
openai-agents-python | src/agents/extensions/sandbox/daytona/sandbox.py | .py | """
Daytona sandbox (https://daytona.io) implementation.
This module provides a Daytona-backed sandbox client/session implementation backed by
`daytona.Sandbox` via the AsyncDaytona client.
The `daytona` dependency is optional, so package-level exports should guard imports of this
module. Within this module, Daytona ... | 1,379 | 51,811 |
openai-agents-python | src/agents/extensions/experimental/__init__.py | .py | # This package contains experimental extensions to the agents package.
# The interface and implementation details could be changed until being GAed.
__all__ = [
"codex",
"hosted_multi_agent",
]
| 8 | 203 |
openai-agents-python | src/agents/extensions/experimental/hosted_multi_agent/model.py | .py | from __future__ import annotations
import asyncio
import contextlib
import weakref
from collections import deque
from collections.abc import AsyncIterator, Mapping
from dataclasses import dataclass, field
from typing import Any, Literal, cast, get_args, overload
from openai import AsyncOpenAI
from openai.resources.be... | 974 | 39,729 |
openai-agents-python | src/agents/extensions/experimental/hosted_multi_agent/__init__.py | .py | """Experimental OpenAI Responses hosted multi-agent support."""
from .model import (
HostedAgentMetadata,
HostedMultiAgentConfig,
OpenAIHostedMultiAgentModel,
get_hosted_agent_metadata,
)
__all__ = [
"HostedAgentMetadata",
"HostedMultiAgentConfig",
"OpenAIHostedMultiAgentModel",
"get_h... | 16 | 345 |
openai-agents-python | src/agents/extensions/experimental/codex/codex_options.py | .py | from __future__ import annotations
from collections.abc import Mapping
from dataclasses import dataclass, fields
from typing import Any
from agents.exceptions import UserError
@dataclass(frozen=True)
class CodexOptions:
# Optional absolute path to the codex CLI binary.
codex_path_override: str | None = None... | 38 | 1,308 |
openai-agents-python | src/agents/extensions/experimental/codex/thread_options.py | .py | from __future__ import annotations
from collections.abc import Mapping, Sequence
from dataclasses import dataclass, fields
from typing import Any, Literal
from agents.exceptions import UserError
ApprovalMode = Literal["never", "on-request", "on-failure", "untrusted"]
SandboxMode = Literal["read-only", "workspace-wri... | 53 | 2,065 |
openai-agents-python | src/agents/extensions/experimental/codex/exec.py | .py | from __future__ import annotations
import asyncio
import contextlib
import os
import platform
import shutil
import sys
from collections.abc import AsyncGenerator
from dataclasses import dataclass
from pathlib import Path
from agents.exceptions import UserError
from .thread_options import ApprovalMode, ModelReasoning... | 308 | 11,099 |
openai-agents-python | src/agents/extensions/experimental/codex/__init__.py | .py | from .codex import Codex
from .codex_options import CodexOptions
from .codex_tool import (
CodexToolOptions,
CodexToolResult,
CodexToolStreamEvent,
OutputSchemaDescriptor,
codex_tool,
)
from .events import (
ItemCompletedEvent,
ItemStartedEvent,
ItemUpdatedEvent,
ThreadError,
Thr... | 93 | 1,914 |
openai-agents-python | src/agents/extensions/experimental/codex/thread.py | .py | from __future__ import annotations
import asyncio
import contextlib
from collections.abc import AsyncGenerator
from dataclasses import dataclass
from typing import Any, Literal, TypeAlias, cast
from typing_extensions import TypedDict
from .codex_options import CodexOptions
from .events import (
ItemCompletedEven... | 215 | 7,166 |
openai-agents-python | src/agents/extensions/experimental/codex/codex.py | .py | from __future__ import annotations
from collections.abc import Mapping
from typing import Any, overload
from agents.exceptions import UserError
from .codex_options import CodexOptions, coerce_codex_options
from .exec import CodexExec
from .thread import Thread
from .thread_options import ThreadOptions, coerce_thread... | 100 | 3,454 |
openai-agents-python | src/agents/extensions/experimental/codex/payloads.py | .py | from __future__ import annotations
import dataclasses
from collections.abc import Iterable
from typing import Any, cast
class _DictLike:
def __getitem__(self, key: str) -> Any:
if key in self._field_names():
return getattr(self, key)
raise KeyError(key)
def get(self, key: str, de... | 32 | 892 |
openai-agents-python | src/agents/extensions/experimental/codex/output_schema_file.py | .py | from __future__ import annotations
import json
import os
import shutil
import tempfile
from collections.abc import Callable
from dataclasses import dataclass
from typing import Any
from agents.exceptions import UserError
@dataclass
class OutputSchemaFile:
# Holds the on-disk schema path and cleanup callback.
... | 52 | 1,536 |
openai-agents-python | src/agents/extensions/experimental/codex/codex_tool.py | .py | from __future__ import annotations
import asyncio
import copy
import dataclasses
import inspect
import json
import os
import re
from collections.abc import AsyncGenerator, Awaitable, Callable, Mapping, MutableMapping
from dataclasses import dataclass
from typing import Any, Literal, TypeAlias, TypeGuard
from openai.t... | 1,437 | 49,479 |
openai-agents-python | src/agents/extensions/experimental/codex/turn_options.py | .py | from __future__ import annotations
import asyncio
from collections.abc import Mapping
from dataclasses import dataclass, fields
from typing import Any
from agents.exceptions import UserError
AbortSignal = asyncio.Event
@dataclass(frozen=True)
class TurnOptions:
# JSON schema used by Codex for structured output... | 37 | 1,124 |
openai-agents-python | src/agents/extensions/experimental/codex/items.py | .py | from __future__ import annotations
from collections.abc import Mapping
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, Literal, TypeAlias, TypeGuard, cast
from .payloads import _DictLike
# Item payloads are emitted inside item.* events from the Codex CLI JSONL stream.
if TYPE_CHECKIN... | 244 | 7,183 |
openai-agents-python | src/agents/extensions/experimental/codex/events.py | .py | from __future__ import annotations
from collections.abc import Mapping
from dataclasses import dataclass, field
from typing import Any, Literal, TypeAlias, cast
from .items import ThreadItem, coerce_thread_item
from .payloads import _DictLike
# Event payloads emitted by the Codex CLI JSONL stream.
@dataclass(froze... | 161 | 4,911 |
openai-agents-python | src/agents/extensions/memory/encrypt_session.py | .py | """Encrypted Session wrapper for secure conversation storage.
This module provides transparent encryption for session storage with automatic
expiration of old data. When TTL expires, expired items are silently skipped.
Usage::
from agents.extensions.memory import EncryptedSession, SQLAlchemySession
# Create... | 261 | 9,175 |
openai-agents-python | src/agents/extensions/memory/dapr_session.py | .py | """Dapr State Store-powered Session backend.
Usage::
from agents.extensions.memory import DaprSession
# Create from Dapr sidecar address
session = DaprSession.from_address(
session_id="user-123",
state_store_name="statestore",
dapr_address="localhost:50001",
)
# Or pass a... | 578 | 24,212 |
openai-agents-python | src/agents/extensions/memory/__init__.py | .py | """Session memory backends living in the extensions namespace.
This package contains optional, production-grade session implementations that
introduce extra third-party dependencies (database drivers, ORMs, etc.). They
conform to the [`Session`][agents.memory.session.Session] protocol so they can be
used as a drop-in ... | 75 | 2,688 |
openai-agents-python | src/agents/extensions/memory/sqlalchemy_session.py | .py | """SQLAlchemy-powered Session backend.
Usage::
from agents.extensions.memory import SQLAlchemySession
# Create from SQLAlchemy URL (uses asyncpg driver under the hood for Postgres)
session = SQLAlchemySession.from_url(
session_id="user-123",
url="postgresql+asyncpg://app:secret@db.example... | 524 | 21,794 |
openai-agents-python | src/agents/extensions/memory/mongodb_session.py | .py | """MongoDB-powered Session backend.
Requires ``pymongo>=4.14``, which ships the native async API
(``AsyncMongoClient``). Install it with::
pip install openai-agents[mongodb]
Usage::
from agents.extensions.memory import MongoDBSession
# Create from MongoDB URI
session = MongoDBSession.from_uri(
... | 596 | 24,068 |
openai-agents-python | src/agents/extensions/memory/async_sqlite_session.py | .py | from __future__ import annotations
import asyncio
import json
from collections.abc import AsyncIterator
from contextlib import asynccontextmanager
from pathlib import Path
from typing import Any, cast
import aiosqlite
from ...items import TResponseInputItem
from ...memory import SessionABC
from ...memory.session_set... | 441 | 17,332 |
openai-agents-python | src/agents/extensions/memory/advanced_sqlite_session.py | .py | from __future__ import annotations
import asyncio
import json
import logging
import sqlite3
import time
from contextlib import closing
from pathlib import Path
from typing import Any, ClassVar, cast
from agents.result import RunResult
from agents.usage import Usage
from ... import _debug
from ..._tool_identity impor... | 1,973 | 84,166 |
openai-agents-python | src/agents/extensions/memory/redis_session.py | .py | """Redis-powered Session backend.
Usage::
from agents.extensions.memory import RedisSession
# Create from Redis URL
session = RedisSession.from_url(
session_id="user-123",
url="redis://localhost:6379/0",
)
# Or pass an existing Redis client that your application already manages
... | 787 | 32,696 |
openai-agents-python | src/agents/extensions/memory/_optional_imports.py | .py | from __future__ import annotations
from typing import NoReturn
def raise_optional_dependency_error(
export_name: str,
*,
dependency_name: str,
extra_name: str,
cause: ImportError | None = None,
) -> NoReturn:
error = ImportError(
f"{export_name} requires the '{dependency_name}' extra.... | 20 | 466 |
openai-agents-python | src/agents/extensions/models/litellm_model.py | .py | from __future__ import annotations
import asyncio
import inspect
import json
import os
import time
from collections.abc import AsyncIterator
from copy import copy
from typing import Any, Literal, cast, overload
from openai.types.responses.response_usage import OutputTokensDetails
from agents.exceptions import ModelB... | 1,069 | 45,658 |
openai-agents-python | src/agents/extensions/models/any_llm_provider.py | .py | from typing import Literal
from ...models.default_models import get_default_model
from ...models.interface import Model, ModelProvider
from .any_llm_model import AnyLLMModel
# This is kept for backward compatibility but using get_default_model() method is recommended.
DEFAULT_MODEL: str = f"openai/{get_default_model(... | 37 | 1,224 |
openai-agents-python | src/agents/extensions/models/litellm_provider.py | .py | from ...models.default_models import get_default_model
from ...models.interface import Model, ModelProvider
from .litellm_model import LitellmModel
# This is kept for backward compatibility but using get_default_model() method is recommended.
DEFAULT_MODEL: str = "gpt-4.1"
class LitellmProvider(ModelProvider):
"... | 24 | 1,084 |
openai-agents-python | src/agents/extensions/models/any_llm_model.py | .py | from __future__ import annotations
import asyncio
import contextlib
import importlib
import inspect
import json
import time
from collections.abc import AsyncGenerator, AsyncIterator, Iterable, Mapping
from copy import copy
from typing import TYPE_CHECKING, Any, Literal, cast, overload
from openai import NotGiven, omi... | 1,606 | 66,184 |
openai-agents-python | src/agents/voice/pipeline.py | .py | from __future__ import annotations
import asyncio
from typing import Any
from .._config_coercion import coerce_dataclass_config
from ..exceptions import UserError
from ..logger import (
log_model_and_tool_action_error,
log_model_and_tool_action_warning,
logger,
)
from ..tracing import TraceCtxManager
from... | 198 | 9,109 |
openai-agents-python | src/agents/voice/pipeline_config.py | .py | from __future__ import annotations
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any
from .._config_coercion import _declared_dataclass_type, coerce_dataclass_config
from ..tracing import TracingConfig
from ..tracing.util import gen_group_id
from .model import STTModelSettings, TTSModelSe... | 80 | 3,082 |
openai-agents-python | src/agents/voice/workflow.py | .py | from __future__ import annotations
import abc
from collections.abc import AsyncIterator
from typing import Any
from ..agent import Agent
from ..items import TResponseInputItem
from ..result import RunResultStreaming
from ..run import Runner
class VoiceWorkflowBase(abc.ABC):
"""
A base class for a voice work... | 102 | 3,807 |
openai-agents-python | src/agents/voice/utils.py | .py | import re
from collections.abc import Callable
def get_sentence_based_splitter(
min_sentence_length: int = 20,
) -> Callable[[str], tuple[str, str]]:
"""Returns a function that splits text into chunks based on sentence boundaries.
Args:
min_sentence_length: The minimum length of a sentence to be ... | 43 | 1,726 |
openai-agents-python | src/agents/voice/exceptions.py | .py | from ..exceptions import AgentsException
class STTWebsocketConnectionError(AgentsException):
"""Exception raised when the STT websocket connection fails."""
def __init__(self, message: str):
self.message = message
| 9 | 233 |
openai-agents-python | src/agents/voice/model.py | .py | from __future__ import annotations
import abc
from collections.abc import AsyncIterator, Callable
from dataclasses import dataclass
from typing import Any, Literal
from .imports import np, npt
from .input import AudioInput, StreamedAudioInput
from .utils import get_sentence_based_splitter
DEFAULT_TTS_INSTRUCTIONS = ... | 195 | 5,956 |
openai-agents-python | src/agents/voice/__init__.py | .py | from .events import VoiceStreamEvent, VoiceStreamEventAudio, VoiceStreamEventLifecycle
from .exceptions import STTWebsocketConnectionError
from .input import AudioInput, StreamedAudioInput
from .model import (
StreamedTranscriptionSession,
STTModel,
STTModelSettings,
TTSModel,
TTSModelSettings,
... | 54 | 1,537 |
openai-agents-python | src/agents/voice/input.py | .py | from __future__ import annotations
import asyncio
import base64
import io
import wave
from dataclasses import dataclass
from typing import cast
from ..exceptions import UserError
from .imports import np, npt
DEFAULT_SAMPLE_RATE = 24000
def _buffer_to_audio_file(
buffer: npt.NDArray[np.int16 | np.float32 | np.f... | 131 | 4,849 |
openai-agents-python | src/agents/voice/testing.py | .py | """Deterministic speech and workflow components for Voice pipeline tests."""
from __future__ import annotations
import copy
from collections.abc import AsyncIterator, Iterable, Sequence
from dataclasses import dataclass, field
from typing import Any
from .imports import np
from .input import AudioInput, StreamedAudi... | 422 | 14,365 |
openai-agents-python | src/agents/voice/result.py | .py | from __future__ import annotations
import asyncio
import base64
from collections import deque
from collections.abc import AsyncIterator
from typing import Any
from ..exceptions import UserError
from ..logger import (
log_model_action_error,
log_model_and_tool_action_error,
logger,
)
from ..tracing import ... | 432 | 18,248 |
openai-agents-python | src/agents/voice/imports.py | .py | try:
import numpy as np
import numpy.typing as npt
import websockets
except ImportError as _e:
raise ImportError(
"`numpy` + `websockets` are required to use voice. You can install them via the optional "
"dependency group: `pip install 'openai-agents[voice]'`."
) from _e
__all__ = ... | 12 | 348 |
openai-agents-python | src/agents/voice/events.py | .py | from __future__ import annotations
from dataclasses import dataclass
from typing import Literal, TypeAlias
from .imports import np, npt
@dataclass
class VoiceStreamEventAudio:
"""Streaming event from the VoicePipeline"""
data: npt.NDArray[np.int16 | np.float32] | None
"""The audio data."""
type: L... | 46 | 1,176 |
openai-agents-python | src/agents/voice/models/openai_stt.py | .py | from __future__ import annotations
import asyncio
import base64
import json
import time
from collections.abc import AsyncIterator
from dataclasses import dataclass
from typing import Any, cast
from openai import AsyncOpenAI
from ... import _debug
from ...exceptions import AgentsException, UserError
from ...logger im... | 557 | 20,826 |
openai-agents-python | src/agents/voice/models/openai_model_provider.py | .py | from __future__ import annotations
from typing import Any
import httpx2
from openai import AsyncOpenAI, DefaultAsyncHttpx2Client
from ...exceptions import UserError
from ...models import _openai_shared
from ...models.openai_agent_registration import (
OpenAIAgentRegistrationConfig,
ResolvedOpenAIAgentRegistr... | 117 | 4,393 |
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