repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/retrievers/retrieve.py | dspy/retrievers/retrieve.py | import random
from dspy.predict.parameter import Parameter
from dspy.primitives.prediction import Prediction
from dspy.utils.callback import with_callbacks
def single_query_passage(passages):
passages_dict = {key: [] for key in list(passages[0].keys())}
for docs in passages:
for key, value in docs.it... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/retrievers/__init__.py | dspy/retrievers/__init__.py | from dspy.retrievers.embeddings import Embeddings
from dspy.retrievers.retrieve import Retrieve
__all__ = ["Embeddings", "Retrieve"]
| python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/retrievers/embeddings.py | dspy/retrievers/embeddings.py | import json
import os
from typing import Any
import numpy as np
from dspy.utils.unbatchify import Unbatchify
class Embeddings:
def __init__(
self,
corpus: list[str],
embedder,
k: int = 5,
callbacks: list[Any] | None = None,
cache: bool = False,
brute_force... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/retrievers/weaviate_rm.py | dspy/retrievers/weaviate_rm.py |
import dspy
from dspy.dsp.utils import dotdict
from dspy.primitives.prediction import Prediction
try:
from uuid import uuid4
import weaviate
from weaviate.util import get_valid_uuid
except ImportError as err:
raise ImportError(
"The 'weaviate' extra is required to use WeaviateRM. Install it w... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/xml_adapter.py | dspy/adapters/xml_adapter.py | import re
from typing import Any
from pydantic.fields import FieldInfo
from dspy.adapters.chat_adapter import ChatAdapter, FieldInfoWithName
from dspy.adapters.utils import format_field_value, translate_field_type
from dspy.signatures.signature import Signature
from dspy.utils.callback import BaseCallback
class XML... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/utils.py | dspy/adapters/utils.py | import ast
import enum
import inspect
import json
import types
from collections.abc import Mapping
from typing import Any, Literal, Union, get_args, get_origin
import json_repair
import pydantic
from pydantic import TypeAdapter
from pydantic.fields import FieldInfo
from dspy.adapters.types.base_type import Type as Ds... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/__init__.py | dspy/adapters/__init__.py | from dspy.adapters.base import Adapter
from dspy.adapters.chat_adapter import ChatAdapter
from dspy.adapters.json_adapter import JSONAdapter
from dspy.adapters.two_step_adapter import TwoStepAdapter
from dspy.adapters.types import Audio, Code, File, History, Image, Reasoning, Tool, ToolCalls, Type
from dspy.adapters.xm... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/base.py | dspy/adapters/base.py | import logging
from typing import TYPE_CHECKING, Any, get_origin
import json_repair
import litellm
from dspy.adapters.types import History, Type
from dspy.adapters.types.base_type import split_message_content_for_custom_types
from dspy.adapters.types.reasoning import Reasoning
from dspy.adapters.types.tool import Too... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/chat_adapter.py | dspy/adapters/chat_adapter.py | import re
import textwrap
from typing import Any, NamedTuple
from litellm import ContextWindowExceededError
from pydantic.fields import FieldInfo
from dspy.adapters.base import Adapter
from dspy.adapters.utils import (
format_field_value,
get_annotation_name,
get_field_description_string,
parse_value,... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/baml_adapter.py | dspy/adapters/baml_adapter.py | """
Custom adapter for improving structured outputs using the information from Pydantic models.
Based on the format used by BAML: https://github.com/BoundaryML/baml
"""
import inspect
import types
from typing import Any, Literal, Union, get_args, get_origin
from pydantic import BaseModel
from dspy.adapters.json_adap... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/json_adapter.py | dspy/adapters/json_adapter.py | import json
import logging
from typing import Any, get_origin
import json_repair
import litellm
import pydantic
import regex
from pydantic.fields import FieldInfo
from dspy.adapters.chat_adapter import ChatAdapter, FieldInfoWithName
from dspy.adapters.types.tool import ToolCalls
from dspy.adapters.utils import (
... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/two_step_adapter.py | dspy/adapters/two_step_adapter.py | from typing import Any
import json_repair
from dspy.adapters.base import Adapter
from dspy.adapters.chat_adapter import ChatAdapter
from dspy.adapters.types import ToolCalls
from dspy.adapters.utils import get_field_description_string
from dspy.clients import LM
from dspy.signatures.field import InputField
from dspy.... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/types/image.py | dspy/adapters/types/image.py | import base64
import io
import mimetypes
import os
import warnings
from functools import lru_cache
from typing import Any, Union
from urllib.parse import urlparse
import pydantic
import requests
from dspy.adapters.types.base_type import Type
try:
from PIL import Image as PILImage
PIL_AVAILABLE = True
except... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/types/citation.py | dspy/adapters/types/citation.py | from typing import Any, Optional
import pydantic
from dspy.adapters.types.base_type import Type
from dspy.utils.annotation import experimental
@experimental(version="3.0.4")
class Citations(Type):
"""Citations extracted from an LM response with source references.
This type represents citations returned by ... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/types/file.py | dspy/adapters/types/file.py | import base64
import mimetypes
import os
from typing import Any
import pydantic
from dspy.adapters.types.base_type import Type
class File(Type):
"""A file input type for DSPy.
See https://platform.openai.com/docs/api-reference/chat/create#chat_create-messages-user_message-content-array_of_content_parts-file... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/types/history.py | dspy/adapters/types/history.py | from typing import Any
import pydantic
class History(pydantic.BaseModel):
"""Class representing the conversation history.
The conversation history is a list of messages, each message entity should have keys from the associated signature.
For example, if you have the following signature:
```
cla... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/types/audio.py | dspy/adapters/types/audio.py | import base64
import io
import mimetypes
import os
from typing import Any, Union
import pydantic
import requests
from dspy.adapters.types.base_type import Type
try:
import soundfile as sf
SF_AVAILABLE = True
except ImportError:
SF_AVAILABLE = False
def _normalize_audio_format(audio_format: str) -> str... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/types/document.py | dspy/adapters/types/document.py | from typing import Any, Literal
import pydantic
from dspy.adapters.types.base_type import Type
from dspy.utils.annotation import experimental
@experimental(version="3.0.4")
class Document(Type):
"""A document type for providing content that can be cited by language models.
This type represents documents th... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/types/code.py | dspy/adapters/types/code.py | import re
from typing import Any, ClassVar
import pydantic
from pydantic import create_model
from dspy.adapters.types.base_type import Type
class Code(Type):
"""Code type in DSPy.
This type is useful for code generation and code analysis.
Example 1: dspy.Code as output type in code generation:
``... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/types/__init__.py | dspy/adapters/types/__init__.py | from dspy.adapters.types.audio import Audio
from dspy.adapters.types.base_type import Type
from dspy.adapters.types.code import Code
from dspy.adapters.types.file import File
from dspy.adapters.types.history import History
from dspy.adapters.types.image import Image
from dspy.adapters.types.reasoning import Reasoning
f... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/types/tool.py | dspy/adapters/types/tool.py | import asyncio
import inspect
from typing import TYPE_CHECKING, Any, Callable, get_origin, get_type_hints
import pydantic
from jsonschema import ValidationError, validate
from pydantic import BaseModel, TypeAdapter, create_model
from dspy.adapters.types.base_type import Type
from dspy.dsp.utils.settings import settin... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/types/base_type.py | dspy/adapters/types/base_type.py | import json
import re
from typing import TYPE_CHECKING, Any, Optional, get_args, get_origin
import json_repair
import pydantic
from litellm import ModelResponseStream
if TYPE_CHECKING:
from dspy.clients.lm import LM
from dspy.signatures.signature import Signature
CUSTOM_TYPE_START_IDENTIFIER = "<<CUSTOM-TYPE... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/adapters/types/reasoning.py | dspy/adapters/types/reasoning.py | from typing import TYPE_CHECKING, Any, Optional
import litellm
import pydantic
from dspy.adapters.types.base_type import Type
if TYPE_CHECKING:
from dspy.clients.lm import LM
from dspy.signatures.signature import Signature
class Reasoning(Type):
"""Reasoning type in DSPy.
This type is useful when ... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/propose/dataset_summary_generator.py | dspy/propose/dataset_summary_generator.py | import re
import dspy
from dspy.propose.utils import strip_prefix
class ObservationSummarizer(dspy.Signature):
("""Given a series of observations I have made about my dataset, please summarize them into a brief 2-3 sentence summary which highlights only the most important details.""")
observations = dspy.Inp... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/propose/utils.py | dspy/propose/utils.py | import inspect
import json
import re
import dspy
try:
from IPython.core.magics.code import extract_symbols
except ImportError:
# Won't be able to read code from jupyter notebooks
extract_symbols = None
from dspy.predict.parameter import Parameter
from dspy.teleprompt.utils import get_signature, new_getfi... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/propose/__init__.py | dspy/propose/__init__.py | from dspy.propose.grounded_proposer import GroundedProposer
__all__ = [
"GroundedProposer",
]
| python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/propose/grounded_proposer.py | dspy/propose/grounded_proposer.py | import random
import dspy
from dspy.propose.dataset_summary_generator import create_dataset_summary
from dspy.propose.propose_base import Proposer
from dspy.propose.utils import (
create_example_string,
create_predictor_level_history_string,
get_dspy_source_code,
strip_prefix,
)
from dspy.teleprompt.ut... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/propose/propose_base.py | dspy/propose/propose_base.py | from abc import ABC, abstractmethod
class Proposer(ABC):
def __init__(self):
pass
@abstractmethod
def propose_instructions_for_program(self):
pass
def propose_instruction_for_predictor(self):
pass
| python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/experimental/__init__.py | dspy/experimental/__init__.py | from dspy.adapters.types.citation import Citations
from dspy.adapters.types.document import Document
__all__ = [
"Citations",
"Document",
]
| python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/evaluate/metrics.py | dspy/evaluate/metrics.py | # TODO: This should move internally. Same for passage_match. dspy.metrics.answer_exact_match, dspy.metrics.answer_passage_match
import re
import string
import unicodedata
from collections import Counter
from dspy.dsp.utils.utils import print_message
def EM(prediction, answers_list): # noqa: N802
"""Compute the... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/evaluate/auto_evaluation.py | dspy/evaluate/auto_evaluation.py | from dspy.predict.chain_of_thought import ChainOfThought
from dspy.primitives import Module
from dspy.signatures import InputField, OutputField, Signature
class SemanticRecallPrecision(Signature):
"""
Compare a system's response to the ground truth to compute its recall and precision.
If asked to reason, ... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/evaluate/__init__.py | dspy/evaluate/__init__.py | from dspy.evaluate.auto_evaluation import CompleteAndGrounded, SemanticF1
from dspy.evaluate.evaluate import Evaluate, EvaluationResult
from dspy.evaluate.metrics import EM, answer_exact_match, answer_passage_match, normalize_text
__all__ = [
"EM",
"normalize_text",
"answer_exact_match",
"answer_passag... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/evaluate/evaluate.py | dspy/evaluate/evaluate.py | import csv
import importlib
import json
import logging
import types
from typing import TYPE_CHECKING, Any, Callable
if TYPE_CHECKING:
import pandas as pd
import tqdm
import dspy
from dspy.primitives.prediction import Prediction
from dspy.utils.callback import with_callbacks
from dspy.utils.parallelizer import Pa... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/clients/lm_local.py | dspy/clients/lm_local.py | import datetime
import logging
import random
import socket
import string
import subprocess
import threading
import time
from typing import TYPE_CHECKING, Any
import requests
from dspy.clients.provider import Provider, TrainingJob
from dspy.clients.utils_finetune import TrainDataFormat, save_data
if TYPE_CHECKING:
... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/clients/utils_finetune.py | dspy/clients/utils_finetune.py | import os
from enum import Enum
from typing import Any, Literal, TypedDict
import orjson
import dspy
from dspy.adapters.base import Adapter
from dspy.utils.caching import DSPY_CACHEDIR
class TrainingStatus(str, Enum):
not_started = "not_started"
pending = "pending"
running = "running"
succeeded = "s... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/clients/lm.py | dspy/clients/lm.py | import logging
import os
import re
import threading
import warnings
from typing import Any, Literal, cast
import litellm
import pydantic
from anyio.streams.memory import MemoryObjectSendStream
from asyncer import syncify
import dspy
from dspy.clients.cache import request_cache
from dspy.clients.openai import OpenAIPr... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/clients/base_lm.py | dspy/clients/base_lm.py | import datetime
import uuid
from typing import Any
from dspy.dsp.utils import settings
from dspy.utils.callback import with_callbacks
from dspy.utils.inspect_history import pretty_print_history
MAX_HISTORY_SIZE = 10_000
GLOBAL_HISTORY = []
class BaseLM:
"""Base class for handling LLM calls.
Most users can ... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/clients/databricks.py | dspy/clients/databricks.py | import logging
import os
import re
import time
from typing import TYPE_CHECKING, Any
import orjson
import requests
from dspy.clients.provider import Provider, TrainingJob
from dspy.clients.utils_finetune import TrainDataFormat, get_finetune_directory
if TYPE_CHECKING:
from databricks.sdk import WorkspaceClient
... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/clients/__init__.py | dspy/clients/__init__.py | import logging
import os
from pathlib import Path
import litellm
from dspy.clients.base_lm import BaseLM, inspect_history
from dspy.clients.cache import Cache
from dspy.clients.embedding import Embedder
from dspy.clients.lm import LM
from dspy.clients.provider import Provider, TrainingJob
logger = logging.getLogger(... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/clients/embedding.py | dspy/clients/embedding.py | from typing import Any, Callable
import litellm
import numpy as np
from dspy.clients.cache import request_cache
class Embedder:
"""DSPy embedding class.
The class for computing embeddings for text inputs. This class provides a unified interface for both:
1. Hosted embedding models (e.g. OpenAI's text-... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/clients/cache.py | dspy/clients/cache.py | import copy
import inspect
import logging
import threading
from functools import wraps
from hashlib import sha256
from typing import Any
import cloudpickle
import orjson
import pydantic
from cachetools import LRUCache
from diskcache import FanoutCache
logger = logging.getLogger(__name__)
class Cache:
"""DSPy Ca... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/clients/provider.py | dspy/clients/provider.py | from abc import abstractmethod
from concurrent.futures import Future
from threading import Thread
from typing import TYPE_CHECKING, Any
from dspy.clients.utils_finetune import TrainDataFormat
if TYPE_CHECKING:
from dspy.clients.lm import LM
class TrainingJob(Future):
def __init__(
self,
thre... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/dspy/clients/openai.py | dspy/clients/openai.py | import time
from datetime import datetime
from typing import Any
import openai
from dspy.clients.provider import Provider, TrainingJob
from dspy.clients.utils_finetune import TrainDataFormat, TrainingStatus, save_data
class TrainingJobOpenAI(TrainingJob):
def __init__(self, *args, **kwargs):
super().__i... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/conftest.py | tests/conftest.py | import copy
import os
import pytest
from tests.test_utils.server import litellm_test_server, read_litellm_test_server_request_logs # noqa: F401
SKIP_DEFAULT_FLAGS = ["reliability", "extra", "llm_call"]
@pytest.fixture(autouse=True)
def clear_settings():
"""Ensures that the settings are cleared after each test... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/__init__.py | tests/__init__.py | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false | |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_retry.py | tests/predict/test_retry.py | # import functools
# import pydantic
# import dspy
# from dspy.primitives.assertions import assert_transform_module, backtrack_handler
# from dspy.utils import DummyLM
# def test_retry_simple():
# predict = dspy.Predict("question -> answer")
# retry_module = dspy.Retry(predict)
# # Test Retry has creat... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_best_of_n.py | tests/predict/test_best_of_n.py | import pytest
import dspy
from dspy.predict.best_of_n import BestOfN
from dspy.predict.predict import Predict
from dspy.primitives.prediction import Prediction
from dspy.utils.dummies import DummyLM
class DummyModule(dspy.Module):
def __init__(self, signature, forward_fn):
super().__init__()
self... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_aggregation.py | tests/predict/test_aggregation.py | from dspy.evaluate import normalize_text
from dspy.predict.aggregation import majority
from dspy.primitives.prediction import Completions, Prediction
def test_majority_with_prediction():
prediction = Prediction.from_completions([{"answer": "2"}, {"answer": "2"}, {"answer": "3"}])
result = majority(prediction)... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_refine.py | tests/predict/test_refine.py | import pytest
import dspy
from dspy.predict.predict import Predict
from dspy.predict.refine import Refine
from dspy.primitives.prediction import Prediction
from dspy.utils.dummies import DummyLM
class DummyModule(dspy.Module):
def __init__(self, signature, forward_fn):
super().__init__()
self.pre... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_parallel.py | tests/predict/test_parallel.py | import dspy
from dspy.utils.dummies import DummyLM
def test_parallel_module():
lm = DummyLM(
[
{"output": "test output 1"},
{"output": "test output 2"},
{"output": "test output 3"},
{"output": "test output 4"},
{"output": "test output 5"},
... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_predict.py | tests/predict/test_predict.py | import asyncio
import copy
import enum
import time
import types
from datetime import datetime
from unittest.mock import patch
import orjson
import pydantic
import pytest
from litellm import ModelResponse
from pydantic import BaseModel, HttpUrl
import dspy
from dspy import Predict, Signature
from dspy.predict.predict ... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_chain_of_thought.py | tests/predict/test_chain_of_thought.py | import pytest
import dspy
from dspy import ChainOfThought
from dspy.utils import DummyLM
def test_initialization_with_string_signature():
lm = DummyLM([{"reasoning": "find the number after 1", "answer": "2"}])
dspy.configure(lm=lm)
predict = ChainOfThought("question -> answer")
assert list(predict.pr... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_multi_chain_comparison.py | tests/predict/test_multi_chain_comparison.py | import dspy
from dspy.utils.dummies import DummyLM
class BasicQA(dspy.Signature):
"""Answer questions with short factoid answers."""
question = dspy.InputField()
answer = dspy.OutputField(desc="often between 1 and 5 words")
# Example completions generated by a model for reference
completions = [
ds... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_code_act.py | tests/predict/test_code_act.py | import shutil
import pytest
import dspy
from dspy import Signature
from dspy.predict import CodeAct
from dspy.utils import DummyLM
# This test suite requires deno to be installed. Please install deno following https://docs.deno.com/runtime/getting_started/installation/
is_deno_available = shutil.which("deno") is not... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_knn.py | tests/predict/test_knn.py | import numpy as np
import pytest
import dspy
from dspy.predict import KNN
from dspy.utils import DummyVectorizer
def mock_example(question: str, answer: str) -> dspy.Example:
"""Creates a mock DSP example with specified question and answer."""
return dspy.Example(question=question, answer=answer).with_inputs... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_react.py | tests/predict/test_react.py | import re
import litellm
import pytest
from pydantic import BaseModel
import dspy
from dspy.utils.dummies import DummyLM
@pytest.mark.extra
def test_tool_observation_preserves_custom_type():
pytest.importorskip("PIL.Image")
from PIL import Image
captured_calls = []
class SpyChatAdapter(dspy.ChatAd... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/predict/test_program_of_thought.py | tests/predict/test_program_of_thought.py | import shutil
from unittest.mock import patch
import pytest
import dspy
from dspy import ProgramOfThought, Signature
from dspy.utils import DummyLM
# This test suite requires deno to be installed. Please install deno following https://docs.deno.com/runtime/getting_started/installation/
is_deno_available = shutil.whi... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/metadata/test_metadata.py | tests/metadata/test_metadata.py | import re
import dspy
def test_metadata():
assert dspy.__name__ == "dspy"
assert re.match(r"\d+\.\d+\.\d+", dspy.__version__)
assert dspy.__author__ == "Omar Khattab"
assert dspy.__author_email__ == "okhattab@stanford.edu"
assert dspy.__url__ == "https://github.com/stanfordnlp/dspy"
assert ds... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/signatures/test_custom_types.py | tests/signatures/test_custom_types.py |
import pydantic
import pytest
import dspy
from dspy import Signature
def test_basic_custom_type_resolution():
"""Test basic custom type resolution with both explicit and automatic mapping."""
class CustomType(pydantic.BaseModel):
value: str
# Custom types can be explicitly mapped
explicit_s... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/signatures/test_adapter_image.py | tests/signatures/test_adapter_image.py | import os
import tempfile
from io import BytesIO
import pydantic
import pytest
import requests
from PIL import Image as PILImage
import dspy
from dspy.adapters.types.image import encode_image
from dspy.utils.dummies import DummyLM
@pytest.fixture
def sample_pil_image():
"""Fixture to provide a sample image for ... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/signatures/test_adapter_file.py | tests/signatures/test_adapter_file.py | import os
import tempfile
import pydantic
import pytest
import dspy
from dspy.adapters.types.file import encode_file_to_dict
from dspy.utils.dummies import DummyLM
@pytest.fixture
def sample_text_file():
with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".txt") as tmp_file:
tmp_file.write(... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/signatures/test_signature.py | tests/signatures/test_signature.py | from types import UnionType
from typing import Any, Optional, Union
import pydantic
import pytest
import dspy
from dspy import InputField, OutputField, Signature, infer_prefix
from dspy.utils.dummies import DummyLM
def test_field_types_and_custom_attributes():
class TestSignature(Signature):
"""Instruct... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/streaming/test_streaming.py | tests/streaming/test_streaming.py | import asyncio
import time
from dataclasses import dataclass
from unittest import mock
from unittest.mock import AsyncMock
import pydantic
import pytest
from asyncer import syncify
from litellm.types.utils import Delta, ModelResponseStream, StreamingChoices
import dspy
from dspy.adapters.types import Type
from dspy.e... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | true |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_gepa_instruction_proposer.py | tests/teleprompt/test_gepa_instruction_proposer.py | from dataclasses import dataclass
from typing import Any
import dspy
from dspy.teleprompt.gepa import instruction_proposal
from dspy.utils.dummies import DummyLM
def count_messages_with_image_url_pattern(messages):
"""Helper to count image URLs in messages - borrowed from image adapter tests"""
pattern = {"t... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_finetune.py | tests/teleprompt/test_finetune.py | # TODO
| python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_gepa_tool_optimization.py | tests/teleprompt/test_gepa_tool_optimization.py | """Tests for GEPA's tool optimization (ReAct modules).
Test categories:
1. Detection - Compile-time detection of dspy.ReAct modules
2. Application - build_program applies optimized instructions and tool descriptions
DSPy ReAct Design Note:
DSPy's ReAct uses two predictors:
- react: reasoning/acting loop
-... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_utils.py | tests/teleprompt/test_utils.py | from unittest.mock import Mock
import dspy
from dspy.teleprompt.utils import eval_candidate_program
class DummyModule(dspy.Module):
def __init__(self):
super().__init__()
def forward(self, **kwargs):
pass
def test_eval_candidate_program_full_trainset():
trainset = [1, 2, 3, 4, 5]
c... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_bootstrap_trace.py | tests/teleprompt/test_bootstrap_trace.py | from typing import Any
from unittest import mock
from litellm import Choices, Message, ModelResponse
import dspy
from dspy.primitives.example import Example
from dspy.teleprompt.bootstrap_trace import FailedPrediction, bootstrap_trace_data
def test_bootstrap_trace_data():
"""Test bootstrap_trace_data function w... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_copro_optimizer.py | tests/teleprompt/test_copro_optimizer.py | import dspy
from dspy import Example
from dspy.teleprompt.signature_opt import COPRO
from dspy.utils.dummies import DummyLM
# Define a simple metric function for testing
def simple_metric(example, prediction):
# Simplified metric for testing: true if prediction matches expected output
return example.output ==... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_random_search.py | tests/teleprompt/test_random_search.py | import dspy
from dspy import Example
from dspy.predict import Predict
from dspy.teleprompt import BootstrapFewShotWithRandomSearch
from dspy.utils.dummies import DummyLM
class SimpleModule(dspy.Module):
def __init__(self, signature):
super().__init__()
self.predictor = Predict(signature)
def ... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_gepa.py | tests/teleprompt/test_gepa.py | import json
import threading
from typing import Any
from unittest import mock
import pytest
import dspy
import dspy.clients
from dspy import Example
from dspy.predict import Predict
from dspy.teleprompt.gepa import instruction_proposal
from dspy.utils.dummies import DummyLM
class SimpleModule(dspy.Module):
def ... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_ensemble.py | tests/teleprompt/test_ensemble.py | import pytest
import dspy
from dspy.teleprompt import Ensemble
class MockProgram(dspy.Module):
def __init__(self, output):
super().__init__()
self.output = output
def forward(self, *args, **kwargs):
return self.output
# Simple reduction function to test with
def mock_reduce_fn(outp... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_bootstrap.py | tests/teleprompt/test_bootstrap.py | import pytest
import dspy
from dspy import Example
from dspy.predict import Predict
from dspy.teleprompt import BootstrapFewShot
from dspy.utils.dummies import DummyLM
# Define a simple metric function for testing
def simple_metric(example, prediction, trace=None):
# Simplified metric for testing: true if predic... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_teleprompt.py | tests/teleprompt/test_teleprompt.py | from dspy.teleprompt.teleprompt import Teleprompter
class DummyTeleprompter(Teleprompter):
def __init__(self, param1: int, param2: str):
super().__init__()
self.param1 = param1
self.param2 = param2
def compile(self, student, *, trainset, teacher=None, valset=None, **kwargs):
r... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_grpo.py | tests/teleprompt/test_grpo.py | from dspy.teleprompt.grpo import GRPO
def test_grpo_dataset_shuffler():
dataset = [1, 2, 3]
grpo = GRPO(
num_dspy_examples_per_grpo_step=3,
exclude_demos=True,
)
trainset_instances = []
for i in range(4):
trainset_instances.append(grpo.select_training_sample_and_update_shu... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_knn_fewshot.py | tests/teleprompt/test_knn_fewshot.py | import pytest
import dspy
from dspy.teleprompt.knn_fewshot import KNNFewShot
from dspy.utils.dummies import DummyLM, DummyVectorizer
def mock_example(question: str, answer: str) -> dspy.Example:
"""Creates a mock DSP example with specified question and answer."""
return dspy.Example(question=question, answer... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/teleprompt/test_bootstrap_finetune.py | tests/teleprompt/test_bootstrap_finetune.py | from unittest.mock import patch
import dspy
from dspy import Example
from dspy.predict import Predict
from dspy.teleprompt import BootstrapFinetune
from dspy.utils.dummies import DummyLM
# Define a simple metric function for testing
def simple_metric(example, prediction, trace=None):
return example.output == pre... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/datasets/test_dataset.py | tests/datasets/test_dataset.py | import tempfile
import uuid
import pytest
from dspy import Example
from dspy.datasets.dataset import Dataset
dummy_data = """content,question,answer
"This is content 1","What is this?","This is answer 1"
"This is content 2","What is that?","This is answer 2"
"""
class CSVDataset(Dataset):
def __init__(self, fi... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/callback/test_callback.py | tests/callback/test_callback.py | import time
import pytest
import dspy
from dspy.utils.callback import ACTIVE_CALL_ID, BaseCallback, with_callbacks
from dspy.utils.dummies import DummyLM
@pytest.fixture(autouse=True)
def reset_settings():
# Make sure the settings are reset after each test
original_settings = dspy.settings.copy()
yield... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_usage_tracker.py | tests/utils/test_usage_tracker.py | from unittest import mock
from pydantic import BaseModel
import dspy
from dspy.utils.usage_tracker import UsageTracker, track_usage
def test_add_usage_entry():
"""Test adding usage entries to the tracker."""
tracker = UsageTracker()
# Test with a single usage entry
usage_entry = {
"prompt_t... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_langchain_tool.py | tests/utils/test_langchain_tool.py | import importlib
import pytest
if importlib.util.find_spec("langchain_core") is None:
pytest.skip(reason="langchain_core is not installed", allow_module_level=True)
from pydantic import BaseModel
from dspy.utils.langchain_tool import convert_langchain_tool
@pytest.mark.asyncio
@pytest.mark.extra
async def tes... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_mcp.py | tests/utils/test_mcp.py | import asyncio
import importlib
import pytest
from dspy.utils.mcp import convert_mcp_tool
if importlib.util.find_spec("mcp") is None:
pytest.skip(reason="mcp is not installed", allow_module_level=True)
@pytest.mark.asyncio
@pytest.mark.extra
async def test_convert_mcp_tool():
from mcp import ClientSession,... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_magicattr.py | tests/utils/test_magicattr.py | import pytest
from dspy.utils import magicattr
class Test:
l = [1, 2]
a = [0, [1, 2, [3, 4]]]
b = {"x": {"y": "y"}, "z": [1, 2]}
z = "z"
class Person:
settings = {
"autosave": True,
"style": {"height": 30, "width": 200},
"themes": ["light", "dark"],
}
def __init... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_parallelizer.py | tests/utils/test_parallelizer.py | import time
import pytest
from dspy.utils.parallelizer import ParallelExecutor
def test_worker_threads_independence():
def task(item):
# Each thread maintains its own state by appending to a thread-local list
return item * 2
data = [1, 2, 3, 4, 5]
executor = ParallelExecutor(num_threads... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_annotation.py | tests/utils/test_annotation.py | from dspy.utils.annotation import experimental
def test_experimental_decorator_on_function():
@experimental
def test_function():
"""A test function."""
return "test"
assert "Experimental: This function may change or be removed in a future release without warning." in test_function.__doc__... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_unbatchify.py | tests/utils/test_unbatchify.py | import time
from concurrent.futures import Future
from unittest.mock import MagicMock
from dspy.utils.unbatchify import Unbatchify
def simple_batch_processor(batch):
"""A simple batch function that adds 1 to each item."""
return [item + 1 for item in batch]
def submit(self, input_item: any) -> Future:
... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/__init__.py | tests/utils/__init__.py | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false | |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_syncify.py | tests/utils/test_syncify.py | import asyncio
import dspy
def test_syncify_in_place():
class MyProgram(dspy.Module):
async def aforward(self, x: int) -> int:
await asyncio.sleep(0.01)
return x + 1
sync_program = dspy.syncify(MyProgram())
assert sync_program(1) == 2
assert sync_program(2) == 3
def... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_settings.py | tests/utils/test_settings.py | import asyncio
import time
from concurrent.futures import ThreadPoolExecutor
from unittest import mock
import pytest
from litellm import Choices, Message, ModelResponse
import dspy
def test_basic_dspy_settings():
dspy.configure(lm=dspy.LM("openai/gpt-4o"), adapter=dspy.JSONAdapter(), callbacks=[lambda x: x])
... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_exceptions.py | tests/utils/test_exceptions.py | import dspy
from dspy.utils.exceptions import AdapterParseError
def test_adapter_parse_error_basic():
adapter_name = "ChatAdapter"
signature = dspy.make_signature("question->answer1, answer2")
lm_response = "[[ ## answer1 ## ]]\nanswer1"
error = AdapterParseError(adapter_name=adapter_name, signature=... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_asyncify.py | tests/utils/test_asyncify.py | import asyncio
import math
from time import sleep, time
import pytest
import dspy
from dspy.utils.asyncify import get_limiter
@pytest.mark.anyio
async def test_async_limiter():
limiter = get_limiter()
assert limiter.total_tokens == 8, "Default async capacity should be 8"
assert get_limiter() == limiter,... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/test_saving.py | tests/utils/test_saving.py | import logging
from unittest.mock import patch
import pytest
import dspy
from dspy.utils import DummyLM
def test_save_predict(tmp_path):
predict = dspy.Predict("question->answer")
predict.save(tmp_path, save_program=True)
assert (tmp_path / "metadata.json").exists()
assert (tmp_path / "program.pkl"... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/utils/resources/mcp_server.py | tests/utils/resources/mcp_server.py | from mcp.server.fastmcp import FastMCP
from pydantic import BaseModel
mcp = FastMCP("test")
class Profile(BaseModel):
name: str
age: int
class Account(BaseModel):
profile: Profile
account_id: str
@mcp.tool()
def add(a: int, b: int) -> int:
"""Add two numbers"""
return a + b
@mcp.tool()
... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/primitives/test_base_module.py | tests/primitives/test_base_module.py | import asyncio
import logging
import os
import threading
from unittest.mock import patch
import pytest
from litellm import Choices, Message, ModelResponse
from litellm.types.utils import Usage
import dspy
from dspy.primitives.prediction import Prediction
from dspy.utils.dummies import DummyLM
def test_deepcopy_basi... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/primitives/test_example.py | tests/primitives/test_example.py | import pytest
import dspy
from dspy import Example
def test_example_initialization():
example = Example(a=1, b=2)
assert example.a == 1
assert example.b == 2
def test_example_initialization_from_base():
base = Example(a=1, b=2)
example = Example(base=base, c=3)
assert example.a == 1
ass... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/primitives/test_module.py | tests/primitives/test_module.py | from pathlib import Path
import dspy
from dspy.primitives.module import Module, set_attribute_by_name # Adjust the import based on your file structure
from dspy.utils import DummyLM
class HopModule(dspy.Module):
def __init__(self):
super().__init__()
self.predict1 = dspy.Predict("question -> que... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/primitives/test_python_interpreter.py | tests/primitives/test_python_interpreter.py | import os
import random
import shutil
import pytest
from dspy.primitives.python_interpreter import InterpreterError, PythonInterpreter
# This test suite requires deno to be installed. Please install deno following https://docs.deno.com/runtime/getting_started/installation/
if shutil.which("deno") is None:
pytest... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/reliability/test_generated.py | tests/reliability/test_generated.py | import os
import pytest
from tests.reliability.generate.utils import load_generated_cases, run_generated_case
_DIR_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)))
@pytest.mark.reliability
@pytest.mark.parametrize(
"generated_case",
load_generated_cases(_DIR_PATH),
ids=lambda case: case.... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/reliability/test_pydantic_models.py | tests/reliability/test_pydantic_models.py | from enum import Enum
from typing import Any, List, Literal
import pydantic
import pytest
import dspy
from tests.reliability.utils import assert_program_output_correct, known_failing_models
@pytest.mark.reliability
def test_qa_with_pydantic_answer_model():
class Answer(pydantic.BaseModel):
value: str
... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
stanfordnlp/dspy | https://github.com/stanfordnlp/dspy/blob/becb4c9e849a292f71a1f1623acd375aaa32edef/tests/reliability/conftest.py | tests/reliability/conftest.py | import os
import pytest
import dspy
from ..conftest import clear_settings
from ..reliability.utils import get_adapter, parse_reliability_conf_yaml
# Standard list of models that should be used for periodic DSPy reliability testing
MODEL_LIST = [
"gpt-4o",
"gpt-4o-mini",
"gpt-4-turbo",
"gpt-o1-preview... | python | MIT | becb4c9e849a292f71a1f1623acd375aaa32edef | 2026-01-04T14:43:07.742507Z | false |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.