From f6dcf36822b976dff7a07e5936998be73145bc90 Mon Sep 17 00:00:00 2001 From: Omar Khattab Date: Mon, 21 Oct 2024 12:47:27 -0700 Subject: [PATCH 1/8] Improve ChatAdapter's handling of typed values and Pydantic models --- dspy/adapters/chat_adapter.py | 58 +++++++++++++++++++++++++++-------- 1 file changed, 45 insertions(+), 13 deletions(-) diff --git a/dspy/adapters/chat_adapter.py b/dspy/adapters/chat_adapter.py index fa80fe556f..50565ef58b 100644 --- a/dspy/adapters/chat_adapter.py +++ b/dspy/adapters/chat_adapter.py @@ -1,32 +1,29 @@ +import re import ast import json -import re +import enum +import inspect +import pydantic import textwrap -from typing import Any, Dict, KeysView, List, Literal, NamedTuple, get_args, get_origin -import pydantic from pydantic import TypeAdapter from pydantic.fields import FieldInfo +from typing import Any, Dict, KeysView, List, Literal, NamedTuple, get_args, get_origin +from dspy.adapters.base import Adapter from ..signatures.field import OutputField from ..signatures.signature import SignatureMeta from ..signatures.utils import get_dspy_field_type -from .base import Adapter field_header_pattern = re.compile(r"\[\[ ## (\w+) ## \]\]") class FieldInfoWithName(NamedTuple): - """ - A tuple containing a field name and its corresponding FieldInfo object. - """ - name: str info: FieldInfo -# Built-in field indicating that a chat turn (i.e. a user or assistant reply to a chat -# thread) has been completed. +# Built-in field indicating that a chat turn has been completed. BuiltInCompletedOutputFieldInfo = FieldInfoWithName(name="completed", info=OutputField()) @@ -127,7 +124,7 @@ def _format_field_value(field_info: FieldInfo, value: Any) -> str: """ dspy_field_type: Literal["input", "output"] = get_dspy_field_type(field_info) if isinstance(value, list): - if dspy_field_type == "input" or field_info.annotation is str: + if dspy_field_type == "input" and field_info.annotation is str: # If the field is an input field or has no special type requirements, format it as # numbered list so that it's organized in a way suitable for presenting long context # to an LLM (i.e. not JSON) @@ -166,8 +163,12 @@ def format_fields(fields_with_values: Dict[FieldInfoWithName, Any]) -> str: def parse_value(value, annotation): if annotation is str: return str(value) + parsed_value = value - if isinstance(value, str): + + if isinstance(annotation, enum.EnumMeta): + parsed_value = annotation[value] + elif isinstance(value, str): try: parsed_value = json.loads(value) except json.JSONDecodeError: @@ -175,6 +176,7 @@ def parse_value(value, annotation): parsed_value = ast.literal_eval(value) except (ValueError, SyntaxError): parsed_value = value + return TypeAdapter(annotation).validate_python(parsed_value) @@ -222,6 +224,16 @@ def format_turn(signature: SignatureMeta, values: Dict[str, Any], role, incomple content.append(formatted_fields) if role == "user": + # def type_info(v): + # return f" (must be formatted as a valid Python {get_annotation_name(v.annotation)})" \ + # if v.annotation is not str else "" + # + # content.append( + # "Respond with the corresponding output fields, starting with the field " + # + ", then ".join(f"`[[ ## {f} ## ]]`{type_info(v)}" for f, v in signature.output_fields.items()) + # + ", and then ending with the marker for `[[ ## completed ## ]]`." + # ) + content.append( "Respond with the corresponding output fields, starting with the field " + ", then ".join(f"`{f}`" for f in signature.output_fields) @@ -260,10 +272,30 @@ def prepare_instructions(signature: SignatureMeta): parts.append("Your output fields are:\n" + enumerate_fields(signature.output_fields)) parts.append("All interactions will be structured in the following way, with the appropriate values filled in.") + def field_metadata(field_name, field_info): + type_ = field_info.annotation + + if get_dspy_field_type(field_info) == 'input' or type_ is str: + desc = "" + elif type_ is bool: + desc = "must be True or False" + elif type_ in (int, float): + desc = f"must be a single {type_.__name__} value" + elif inspect.isclass(type_) and issubclass(type_, enum.Enum): + desc= f"must be one of: {'; '.join(type_.__members__)}" + elif hasattr(type_, '__origin__') and type_.__origin__ is Literal: + desc = f"must be one of: {'; '.join(type_.__args__)}" + else: + desc = "must be pareseable according to the following JSON schema: " + desc += json.dumps(pydantic.TypeAdapter(type_).json_schema()) + + desc = (" " * 8) + f"# note: the value you produce {desc}" if desc else "" + return f"{{{field_name}}}{desc}" + def format_signature_fields_for_instructions(fields: Dict[str, FieldInfo]): return format_fields( fields_with_values={ - FieldInfoWithName(name=field_name, info=field_info): f"{{{field_name}}}" + FieldInfoWithName(name=field_name, info=field_info): field_metadata(field_name, field_info) for field_name, field_info in fields.items() } ) From 33a9182a98e63fb1de3c402eefc2cd91228abb18 Mon Sep 17 00:00:00 2001 From: Omar Khattab Date: Mon, 21 Oct 2024 13:09:00 -0700 Subject: [PATCH 2/8] Fixes for Literal --- dspy/adapters/chat_adapter.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dspy/adapters/chat_adapter.py b/dspy/adapters/chat_adapter.py index 50565ef58b..c71d3ba17c 100644 --- a/dspy/adapters/chat_adapter.py +++ b/dspy/adapters/chat_adapter.py @@ -284,7 +284,7 @@ def field_metadata(field_name, field_info): elif inspect.isclass(type_) and issubclass(type_, enum.Enum): desc= f"must be one of: {'; '.join(type_.__members__)}" elif hasattr(type_, '__origin__') and type_.__origin__ is Literal: - desc = f"must be one of: {'; '.join(type_.__args__)}" + desc = f"must be one of: {'; '.join([str(x) for x in type_.__args__])}" else: desc = "must be pareseable according to the following JSON schema: " desc += json.dumps(pydantic.TypeAdapter(type_).json_schema()) From 827053bb7b3a9a9f39086605de3ec94a19c7c6ad Mon Sep 17 00:00:00 2001 From: Omar Khattab Date: Mon, 21 Oct 2024 13:34:24 -0700 Subject: [PATCH 3/8] Fixes for formatting complex-typed values --- dspy/adapters/chat_adapter.py | 31 +++++++++++++++++-------------- 1 file changed, 17 insertions(+), 14 deletions(-) diff --git a/dspy/adapters/chat_adapter.py b/dspy/adapters/chat_adapter.py index c71d3ba17c..f2e270d825 100644 --- a/dspy/adapters/chat_adapter.py +++ b/dspy/adapters/chat_adapter.py @@ -111,6 +111,16 @@ def format_input_list_field_value(value: List[Any]) -> str: return "\n".join([f"[{idx+1}] {format_blob(txt)}" for idx, txt in enumerate(value)]) +def _serialize_for_json(value): + if isinstance(value, pydantic.BaseModel): + return value.model_dump() + elif isinstance(value, list): + return [_serialize_for_json(item) for item in value] + elif isinstance(value, dict): + return {key: _serialize_for_json(val) for key, val in value.items()} + else: + return value + def _format_field_value(field_info: FieldInfo, value: Any) -> str: """ Formats the value of the specified field according to the field's DSPy type (input or output), @@ -122,24 +132,17 @@ def _format_field_value(field_info: FieldInfo, value: Any) -> str: Returns: The formatted value of the field, represented as a string. """ - dspy_field_type: Literal["input", "output"] = get_dspy_field_type(field_info) - if isinstance(value, list): - if dspy_field_type == "input" and field_info.annotation is str: - # If the field is an input field or has no special type requirements, format it as - # numbered list so that it's organized in a way suitable for presenting long context - # to an LLM (i.e. not JSON) - return format_input_list_field_value(value) - else: - # If the field is an output field that has strict parsing requirements, format the - # value as a stringified JSON Array. This ensures that downstream routines can parse - # the field value correctly using methods from the `ujson` or `json` packages. - return json.dumps(value) - elif isinstance(value, pydantic.BaseModel): - return value.model_dump_json() + + if isinstance(value, list) and field_info.annotation is str: + # If the field has no special type requirements, format it as a nice numbere list for the LM. + return format_input_list_field_value(value) + elif isinstance(value, pydantic.BaseModel) or isinstance(value, dict) or isinstance(value, list): + return json.dumps(_serialize_for_json(value)) else: return str(value) + def format_fields(fields_with_values: Dict[FieldInfoWithName, Any]) -> str: """ Formats the values of the specified fields according to the field's DSPy type (input or output), From 1b2de8875f7b2ca761267fcb2959d1a7f4e3eaa0 Mon Sep 17 00:00:00 2001 From: Omar Khattab Date: Sat, 26 Oct 2024 14:34:24 -0700 Subject: [PATCH 4/8] Improve ChatAdapter, introduce JsonAdapter, add default retries with the latter. --- dspy/__init__.py | 3 +- dspy/adapters/__init__.py | 3 +- dspy/adapters/base.py | 18 +- dspy/adapters/chat_adapter.py | 16 +- dspy/adapters/json_adapter.py | 317 ++++++++++++++++++++++++++++++++++ dspy/clients/lm.py | 8 +- dspy/functional/functional.py | 24 ++- dspy/predict/predict.py | 3 +- 8 files changed, 376 insertions(+), 16 deletions(-) create mode 100644 dspy/adapters/json_adapter.py diff --git a/dspy/__init__.py b/dspy/__init__.py index 0c93486415..9120f5625d 100644 --- a/dspy/__init__.py +++ b/dspy/__init__.py @@ -73,4 +73,5 @@ # TODO: Consider if this should access settings.lm *or* a list that's shared across all LMs in the program. def inspect_history(*args, **kwargs): - return settings.lm.inspect_history(*args, **kwargs) \ No newline at end of file + from dspy.clients.lm import GLOBAL_HISTORY, _inspect_history + return _inspect_history(GLOBAL_HISTORY, *args, **kwargs) \ No newline at end of file diff --git a/dspy/adapters/__init__.py b/dspy/adapters/__init__.py index 85cac40b2a..f14a466a71 100644 --- a/dspy/adapters/__init__.py +++ b/dspy/adapters/__init__.py @@ -1,2 +1,3 @@ from .base import Adapter -from .chat_adapter import ChatAdapter \ No newline at end of file +from .chat_adapter import ChatAdapter +from .json_adapter import JsonAdapter \ No newline at end of file diff --git a/dspy/adapters/base.py b/dspy/adapters/base.py index ddb0ee3e80..6eb930d0ad 100644 --- a/dspy/adapters/base.py +++ b/dspy/adapters/base.py @@ -1,14 +1,22 @@ class Adapter: def __call__(self, lm, lm_kwargs, signature, demos, inputs, _parse_values=True): - inputs = self.format(signature, demos, inputs) - inputs = dict(prompt=inputs) if isinstance(inputs, str) else dict(messages=inputs) + inputs_ = self.format(signature, demos, inputs) + inputs_ = dict(prompt=inputs_) if isinstance(inputs_, str) else dict(messages=inputs_) - outputs = lm(**inputs, **lm_kwargs) + outputs = lm(**inputs_, **lm_kwargs) values = [] for output in outputs: - value = self.parse(signature, output, _parse_values=_parse_values) - assert set(value.keys()) == set(signature.output_fields.keys()), f"Expected {signature.output_fields.keys()} but got {value.keys()}" + try: + value = self.parse(signature, output, _parse_values=_parse_values) + assert set(value.keys()) == set(signature.output_fields.keys()), f"Expected {signature.output_fields.keys()} but got {value.keys()}" + except Exception as e: + from .json_adapter import JsonAdapter + if _parse_values and not isinstance(self, JsonAdapter): + return JsonAdapter()(lm, lm_kwargs, signature, demos, inputs, _parse_values=_parse_values) + else: + raise e + values.append(value) return values diff --git a/dspy/adapters/chat_adapter.py b/dspy/adapters/chat_adapter.py index f2e270d825..92a1ac2ba2 100644 --- a/dspy/adapters/chat_adapter.py +++ b/dspy/adapters/chat_adapter.py @@ -7,6 +7,7 @@ import textwrap from pydantic import TypeAdapter +from collections.abc import Mapping from pydantic.fields import FieldInfo from typing import Any, Dict, KeysView, List, Literal, NamedTuple, get_args, get_origin @@ -269,6 +270,19 @@ def enumerate_fields(fields): return "\n".join(parts).strip() +def move_type_to_front(d): + # Move the 'type' key to the front of the dictionary, recursively, for LLM readability/adherence. + if isinstance(d, Mapping): + return {k: move_type_to_front(v) for k, v in sorted(d.items(), key=lambda item: (item[0] != 'type', item[0]))} + elif isinstance(d, list): + return [move_type_to_front(item) for item in d] + return d + +def prepare_schema(type_): + schema = pydantic.TypeAdapter(type_).json_schema() + schema = move_type_to_front(schema) + return schema + def prepare_instructions(signature: SignatureMeta): parts = [] parts.append("Your input fields are:\n" + enumerate_fields(signature.input_fields)) @@ -290,7 +304,7 @@ def field_metadata(field_name, field_info): desc = f"must be one of: {'; '.join([str(x) for x in type_.__args__])}" else: desc = "must be pareseable according to the following JSON schema: " - desc += json.dumps(pydantic.TypeAdapter(type_).json_schema()) + desc += json.dumps(prepare_schema(type_)) desc = (" " * 8) + f"# note: the value you produce {desc}" if desc else "" return f"{{{field_name}}}{desc}" diff --git a/dspy/adapters/json_adapter.py b/dspy/adapters/json_adapter.py new file mode 100644 index 0000000000..814dc7121b --- /dev/null +++ b/dspy/adapters/json_adapter.py @@ -0,0 +1,317 @@ +import re +import ast +import json +import enum +import inspect +import litellm +import pydantic +import textwrap +import json_repair + + +from pydantic import TypeAdapter +from pydantic.fields import FieldInfo +from typing import Any, Dict, KeysView, List, Literal, NamedTuple, get_args, get_origin + +from dspy.adapters.base import Adapter +from ..signatures.field import OutputField +from ..signatures.signature import SignatureMeta +from ..signatures.utils import get_dspy_field_type + +class FieldInfoWithName(NamedTuple): + name: str + info: FieldInfo + +class JsonAdapter(Adapter): + def __init__(self): + pass + + def __call__(self, lm, lm_kwargs, signature, demos, inputs, _parse_values=True): + inputs = self.format(signature, demos, inputs) + inputs = dict(prompt=inputs) if isinstance(inputs, str) else dict(messages=inputs) + + + try: + provider = lm.model.split('/', 1)[0] or "openai" + if 'response_format' in litellm.get_supported_openai_params(model=lm.model, custom_llm_provider=provider): + outputs = lm(**inputs, **lm_kwargs, response_format={ "type": "json_object" }) + else: + outputs = lm(**inputs, **lm_kwargs) + + except litellm.UnsupportedParamsError: + outputs = lm(**inputs, **lm_kwargs) + + values = [] + + for output in outputs: + value = self.parse(signature, output, _parse_values=_parse_values) + assert set(value.keys()) == set(signature.output_fields.keys()), f"Expected {signature.output_fields.keys()} but got {value.keys()}" + values.append(value) + + return values + + + def format(self, signature, demos, inputs): + messages = [] + + # Extract demos where some of the output_fields are not filled in. + incomplete_demos = [demo for demo in demos if not all(k in demo for k in signature.fields)] + complete_demos = [demo for demo in demos if demo not in incomplete_demos] + incomplete_demos = [ + demo + for demo in incomplete_demos + if any(k in demo for k in signature.input_fields) and any(k in demo for k in signature.output_fields) + ] + + demos = incomplete_demos + complete_demos + + messages.append({"role": "system", "content": prepare_instructions(signature)}) + + for demo in demos: + messages.append(format_turn(signature, demo, role="user", incomplete=demo in incomplete_demos)) + messages.append(format_turn(signature, demo, role="assistant", incomplete=demo in incomplete_demos)) + + messages.append(format_turn(signature, inputs, role="user")) + + return messages + + def parse(self, signature, completion, _parse_values=True): + fields = json_repair.loads(completion) + fields = {k: v for k, v in fields.items() if k in signature.output_fields} + + # attempt to cast each value to type signature.output_fields[k].annotation + for k, v in fields.items(): + if k in signature.output_fields: + fields[k] = parse_value(v, signature.output_fields[k].annotation) + + if fields.keys() != signature.output_fields.keys(): + raise ValueError(f"Expected {signature.output_fields.keys()} but got {fields.keys()}") + + return fields + + def format_turn(self, signature, values, role, incomplete=False): + return format_turn(signature, values, role, incomplete) + + +def parse_value(value, annotation): + if annotation is str: + return str(value) + + parsed_value = value + + if isinstance(annotation, enum.EnumMeta): + parsed_value = annotation[value] + elif isinstance(value, str): + try: + parsed_value = json.loads(value) + except json.JSONDecodeError: + try: + parsed_value = ast.literal_eval(value) + except (ValueError, SyntaxError): + parsed_value = value + + return TypeAdapter(annotation).validate_python(parsed_value) + + +def format_blob(blob): + if "\n" not in blob and "«" not in blob and "»" not in blob: + return f"«{blob}»" + + modified_blob = blob.replace("\n", "\n ") + return f"«««\n {modified_blob}\n»»»" + + +def format_input_list_field_value(value: List[Any]) -> str: + """ + Formats the value of an input field of type List[Any]. + + Args: + value: The value of the list-type input field. + Returns: + A string representation of the input field's list value. + """ + if len(value) == 0: + return "N/A" + if len(value) == 1: + return format_blob(value[0]) + + return "\n".join([f"[{idx+1}] {format_blob(txt)}" for idx, txt in enumerate(value)]) + + +def _serialize_for_json(value): + if isinstance(value, pydantic.BaseModel): + return value.model_dump() + elif isinstance(value, list): + return [_serialize_for_json(item) for item in value] + elif isinstance(value, dict): + return {key: _serialize_for_json(val) for key, val in value.items()} + else: + return value + +def _format_field_value(field_info: FieldInfo, value: Any) -> str: + """ + Formats the value of the specified field according to the field's DSPy type (input or output), + annotation (e.g. str, int, etc.), and the type of the value itself. + + Args: + field_info: Information about the field, including its DSPy field type and annotation. + value: The value of the field. + Returns: + The formatted value of the field, represented as a string. + """ + + if isinstance(value, list) and field_info.annotation is str: + # If the field has no special type requirements, format it as a nice numbere list for the LM. + return format_input_list_field_value(value) + elif isinstance(value, pydantic.BaseModel) or isinstance(value, dict) or isinstance(value, list): + return json.dumps(_serialize_for_json(value)) + else: + return str(value) + + + +def format_fields(fields_with_values: Dict[FieldInfoWithName, Any]) -> str: + """ + Formats the values of the specified fields according to the field's DSPy type (input or output), + annotation (e.g. str, int, etc.), and the type of the value itself. Joins the formatted values + into a single string, which is is a multiline string if there are multiple fields. + + Args: + fields_with_values: A dictionary mapping information about a field to its corresponding + value. + Returns: + The joined formatted values of the fields, represented as a string. + """ + output = [] + for field, field_value in fields_with_values.items(): + formatted_field_value = _format_field_value(field_info=field.info, value=field_value) + output.append(f"[[ ## {field.name} ## ]]\n{formatted_field_value}") + + return "\n\n".join(output).strip() + + +def format_turn(signature: SignatureMeta, values: Dict[str, Any], role, incomplete=False) -> Dict[str, str]: + """ + Constructs a new message ("turn") to append to a chat thread. The message is carefully formatted + so that it can instruct an LLM to generate responses conforming to the specified DSPy signature. + + Args: + signature: The DSPy signature to which future LLM responses should conform. + values: A dictionary mapping field names (from the DSPy signature) to corresponding values + that should be included in the message. + role: The role of the message, which can be either "user" or "assistant". + incomplete: If True, indicates that output field values are present in the set of specified + ``values``. If False, indicates that ``values`` only contains input field values. + Returns: + A chat message that can be appended to a chat thread. The message contains two string fields: + ``role`` ("user" or "assistant") and ``content`` (the message text). + """ + content = [] + + if role == "user": + fields: Dict[str, FieldInfo] = signature.input_fields + if incomplete: + content.append("This is an example of the task, though some input or output fields are not supplied.") + else: + fields: Dict[str, FieldInfo] = signature.output_fields + + if not incomplete: + field_names: KeysView = fields.keys() + if not set(values).issuperset(set(field_names)): + raise ValueError(f"Expected {field_names} but got {values.keys()}") + + formatted_fields = format_fields( + fields_with_values={ + FieldInfoWithName(name=field_name, info=field_info): values.get( + field_name, "Not supplied for this particular example." + ) + for field_name, field_info in fields.items() + } + ) + content.append(formatted_fields) + + if role == "user": + def type_info(v): + return f" (must be formatted as a valid Python {get_annotation_name(v.annotation)})" \ + if v.annotation is not str else "" + + content.append( + "Respond with a JSON object in the following order of fields: " + + ", then ".join(f"`{f}`{type_info(v)}" for f, v in signature.output_fields.items()) + + "." + ) + + return {"role": role, "content": "\n\n".join(content).strip()} + + +def get_annotation_name(annotation): + origin = get_origin(annotation) + args = get_args(annotation) + if origin is None: + if hasattr(annotation, "__name__"): + return annotation.__name__ + else: + return str(annotation) + else: + args_str = ", ".join(get_annotation_name(arg) for arg in args) + return f"{get_annotation_name(origin)}[{args_str}]" + + +def enumerate_fields(fields): + parts = [] + for idx, (k, v) in enumerate(fields.items()): + parts.append(f"{idx+1}. `{k}`") + parts[-1] += f" ({get_annotation_name(v.annotation)})" + parts[-1] += f": {v.json_schema_extra['desc']}" if v.json_schema_extra["desc"] != f"${{{k}}}" else "" + + return "\n".join(parts).strip() + + +def prepare_instructions(signature: SignatureMeta): + parts = [] + parts.append("Your input fields are:\n" + enumerate_fields(signature.input_fields)) + parts.append("Your output fields are:\n" + enumerate_fields(signature.output_fields)) + # parts.append("All interactions will be structured in the following way, with the appropriate values filled in.") + + def field_metadata(field_name, field_info): + type_ = field_info.annotation + + if get_dspy_field_type(field_info) == 'input' or type_ is str: + desc = "" + elif type_ is bool: + desc = "must be True or False" + elif type_ in (int, float): + desc = f"must be a single {type_.__name__} value" + elif inspect.isclass(type_) and issubclass(type_, enum.Enum): + desc= f"must be one of: {'; '.join(type_.__members__)}" + elif hasattr(type_, '__origin__') and type_.__origin__ is Literal: + desc = f"must be one of: {'; '.join([str(x) for x in type_.__args__])}" + else: + desc = "must be pareseable according to the following JSON schema: " + desc += json.dumps(pydantic.TypeAdapter(type_).json_schema()) + + desc = (" " * 8) + f"# note: the value you produce {desc}" if desc else "" + return f"{{{field_name}}}{desc}" + + def format_signature_fields_for_instructions(fields: Dict[str, FieldInfo]): + return format_fields( + fields_with_values={ + FieldInfoWithName(name=field_name, info=field_info): field_metadata(field_name, field_info) + for field_name, field_info in fields.items() + } + ) + + parts.append(format_signature_fields_for_instructions(signature.input_fields)) + parts.append(format_signature_fields_for_instructions(signature.output_fields)) + # parts.append(format_fields({BuiltInCompletedOutputFieldInfo: ""})) + + instructions = textwrap.dedent(signature.instructions) + objective = ("\n" + " " * 8).join([""] + instructions.splitlines()) + parts.append(f"In adhering to this structure, your objective is: {objective}") + + # parts.append("You will receive some input fields in each interaction. " + + # "Respond only with the corresponding output fields, starting with the field " + + # ", then ".join(f"`{f}`" for f in signature.output_fields) + + # ", and then ending with the marker for `completed`.") + + return "\n\n".join(parts).strip() diff --git a/dspy/clients/lm.py b/dspy/clients/lm.py index f2949372ac..46bc576a3a 100644 --- a/dspy/clients/lm.py +++ b/dspy/clients/lm.py @@ -25,6 +25,7 @@ if "LITELLM_LOCAL_MODEL_COST_MAP" not in os.environ: os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True" +GLOBAL_HISTORY = [] class LM: def __init__( @@ -80,11 +81,12 @@ def __call__(self, prompt=None, messages=None, **kwargs): model_type=self.model_type, ) self.history.append(entry) + GLOBAL_HISTORY.append(entry) return outputs def inspect_history(self, n: int = 1): - _inspect_history(self, n) + _inspect_history(self.history, n) def launch(self): """Send a request to the provider to launch the model, if needed.""" @@ -197,10 +199,10 @@ def _red(text: str, end: str = "\n"): return "\x1b[31m" + str(text) + "\x1b[0m" + end -def _inspect_history(lm, n: int = 1): +def _inspect_history(history, n: int = 1): """Prints the last n prompts and their completions.""" - for item in lm.history[-n:]: + for item in history[-n:]: messages = item["messages"] or [{"role": "user", "content": item["prompt"]}] outputs = item["outputs"] timestamp = item.get("timestamp", "Unknown time") diff --git a/dspy/functional/functional.py b/dspy/functional/functional.py index d407c0a2a2..2dff1dcf7e 100644 --- a/dspy/functional/functional.py +++ b/dspy/functional/functional.py @@ -1,17 +1,23 @@ -import inspect import json +import ujson +import logging +import inspect import typing -from typing import Annotated, Callable, List, Tuple, Union # noqa: UP035 - import pydantic -import ujson + +from functools import lru_cache from pydantic.fields import FieldInfo +from typing import Annotated, Callable, List, Tuple, Union # noqa: UP035 import dspy from dsp.adapters import passages2text from dspy.primitives.prediction import Prediction from dspy.signatures.signature import ensure_signature, make_signature +@lru_cache(maxsize=None) +def warn_once(msg: str): + logging.warning(msg) + def predictor(*args: tuple, **kwargs) -> Callable[..., dspy.Module]: def _predictor(func) -> dspy.Module: @@ -98,6 +104,16 @@ def __init__(self, signature, instructions=None, *, max_retries=3, wrap_json=Fal explain_errors: If True, the model will try to explain the errors it encounters. """ super().__init__() + + # Warn: deprecation warning. + warn_once( + "\t*** Since DSPy 2.5.16+, TypedPredictors are now deprecated, underperform, and are about to be removed! ***\n" + "Please use standard predictors, e.g. dspy.Predict and dspy.ChainOfThought.\n" + "They now support type annotations and other features of TypedPredictors and " + "tend to work much better out of the box.\n" + "Please let us know if you face any issues: https://github.com/stanfordnlp/dspy/issues" + ) + signature = ensure_signature(signature, instructions) self.predictor = dspy.Predict(signature, _parse_values=False) self.max_retries = max_retries diff --git a/dspy/predict/predict.py b/dspy/predict/predict.py index 35260fabad..a5b34478ea 100644 --- a/dspy/predict/predict.py +++ b/dspy/predict/predict.py @@ -152,7 +152,8 @@ def forward(self, **kwargs): completions = v2_5_generate(lm, config, signature, demos, kwargs, _parse_values=self._parse_values) else: warn_once( - "\t*** In DSPy 2.5, all LM clients except `dspy.LM` are deprecated. ***\n" + "\t*** In DSPy 2.5, all LM clients except `dspy.LM` are deprecated, " + "underperform, and are about to be deleted. ***\n" f" \t\tYou are using the client {lm.__class__.__name__}, which will be removed in DSPy 2.6.\n" " \t\tChanging the client is straightforward and will let you use new features (Adapters) that" " improve the consistency of LM outputs, especially when using chat LMs. \n\n" From 465ef694d773ef3ccd2db8618b5f71ded36b94c4 Mon Sep 17 00:00:00 2001 From: Omar Khattab Date: Sat, 26 Oct 2024 14:47:18 -0700 Subject: [PATCH 5/8] Minor fixes --- dspy/adapters/json_adapter.py | 2 -- pyproject.toml | 5 +++-- requirements.txt | 1 + 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/dspy/adapters/json_adapter.py b/dspy/adapters/json_adapter.py index 814dc7121b..76a53f3658 100644 --- a/dspy/adapters/json_adapter.py +++ b/dspy/adapters/json_adapter.py @@ -1,4 +1,3 @@ -import re import ast import json import enum @@ -14,7 +13,6 @@ from typing import Any, Dict, KeysView, List, Literal, NamedTuple, get_args, get_origin from dspy.adapters.base import Adapter -from ..signatures.field import OutputField from ..signatures.signature import SignatureMeta from ..signatures.utils import get_dspy_field_type diff --git a/pyproject.toml b/pyproject.toml index 371f059e46..bff924ebf7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -42,7 +42,8 @@ dependencies = [ "jinja2", "magicattr~=0.1.6", "litellm", - "diskcache" + "diskcache", + "json-repair" ] [project.optional-dependencies] @@ -135,7 +136,7 @@ jinja2 = "^3.1.3" magicattr = "^0.1.6" litellm = "1.49.1" diskcache = "^5.6.0" - +json-repair = "^0.30.0 [tool.poetry.group.dev.dependencies] pytest = "^6.2.5" diff --git a/requirements.txt b/requirements.txt index 01ff8c349b..3e0f4501df 100644 --- a/requirements.txt +++ b/requirements.txt @@ -14,3 +14,4 @@ ujson httpx magicattr~=0.1.6 diskcache +json-repair \ No newline at end of file From 29a3873673b7b7fd9a6129bb87499ba4bce39c5b Mon Sep 17 00:00:00 2001 From: Omar Khattab Date: Sat, 26 Oct 2024 14:52:50 -0700 Subject: [PATCH 6/8] Update lock file --- poetry.lock | 2904 ++++++++++++++++++++++++++---------------------- pyproject.toml | 2 +- 2 files changed, 1562 insertions(+), 1344 deletions(-) diff --git a/poetry.lock b/poetry.lock index 639c1cd3b5..dae3532709 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,114 +1,114 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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= ["weaviate-client"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "677d41c9c29f331d34b4b84b8181ba24855daaae3064469f4300a61ad41c4e3b" +content-hash = "409f61989a12fc841674338b7b05c296feb08291c1b8e0ba0e7bf9bb3d86b073" diff --git a/pyproject.toml b/pyproject.toml index bff924ebf7..0170fce95c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -136,7 +136,7 @@ jinja2 = "^3.1.3" magicattr = "^0.1.6" litellm = "1.49.1" diskcache = "^5.6.0" -json-repair = "^0.30.0 +json-repair = "^0.30.0" [tool.poetry.group.dev.dependencies] pytest = "^6.2.5" From 64aaad9ce9e6a0f4c4db632d1bd9ba7df4039216 Mon Sep 17 00:00:00 2001 From: Omar Khattab Date: Sat, 26 Oct 2024 15:08:46 -0700 Subject: [PATCH 7/8] Updates for json retries --- dspy/adapters/base.py | 23 ++--- tests/dsp_LM/functional/test_functional.py | 112 ++++++++++----------- 2 files changed, 67 insertions(+), 68 deletions(-) diff --git a/dspy/adapters/base.py b/dspy/adapters/base.py index 0e25128def..8ba4a7b75a 100644 --- a/dspy/adapters/base.py +++ b/dspy/adapters/base.py @@ -19,17 +19,16 @@ def __call__(self, lm, lm_kwargs, signature, demos, inputs, _parse_values=True): outputs = lm(**inputs_, **lm_kwargs) values = [] - for output in outputs: - try: + try: + for output in outputs: value = self.parse(signature, output, _parse_values=_parse_values) assert set(value.keys()) == set(signature.output_fields.keys()), f"Expected {signature.output_fields.keys()} but got {value.keys()}" - except Exception as e: - from .json_adapter import JsonAdapter - if _parse_values and not isinstance(self, JsonAdapter): - return JsonAdapter()(lm, lm_kwargs, signature, demos, inputs, _parse_values=_parse_values) - else: - raise e - - values.append(value) - - return values + values.append(value) + return values + + except Exception as e: + from .json_adapter import JsonAdapter + if _parse_values and not isinstance(self, JsonAdapter): + return JsonAdapter()(lm, lm_kwargs, signature, demos, inputs, _parse_values=_parse_values) + raise e + diff --git a/tests/dsp_LM/functional/test_functional.py b/tests/dsp_LM/functional/test_functional.py index 31d0416b7a..5e5274567a 100644 --- a/tests/dsp_LM/functional/test_functional.py +++ b/tests/dsp_LM/functional/test_functional.py @@ -329,27 +329,27 @@ def flight_information(email: str) -> TravelInformation: ) -def test_raises(): - class TravelInformation(BaseModel): - origin: str = Field(pattern=r"^[A-Z]{3}$") - destination: str = Field(pattern=r"^[A-Z]{3}$") - date: datetime.date +# def test_raises(): +# class TravelInformation(BaseModel): +# origin: str = Field(pattern=r"^[A-Z]{3}$") +# destination: str = Field(pattern=r"^[A-Z]{3}$") +# date: datetime.date - @predictor - def flight_information(email: str) -> TravelInformation: - pass +# @predictor +# def flight_information(email: str) -> TravelInformation: +# pass - lm = DSPDummyLM( - [ - "A list of bad inputs", - '{"origin": "JF0", "destination": "LAX", "date": "2022-12-25"}', - '{"origin": "JFK", "destination": "LAX", "date": "bad date"}', - ] - ) - dspy.settings.configure(lm=lm) +# lm = DSPDummyLM( +# [ +# "A list of bad inputs", +# '{"origin": "JF0", "destination": "LAX", "date": "2022-12-25"}', +# '{"origin": "JFK", "destination": "LAX", "date": "bad date"}', +# ] +# ) +# dspy.settings.configure(lm=lm) - with pytest.raises(ValueError): - flight_information(email="Some email") +# with pytest.raises(ValueError): +# flight_information(email="Some email") def test_multi_errors(): @@ -405,54 +405,54 @@ def flight_information(email: str) -> TravelInformation: ) -def test_field_validator(): - class UserDetails(BaseModel): - name: str - age: int +# def test_field_validator(): +# class UserDetails(BaseModel): +# name: str +# age: int - @field_validator("name") - @classmethod - def validate_name(cls, v): - if v.upper() != v: - raise ValueError("Name must be in uppercase.") - return v +# @field_validator("name") +# @classmethod +# def validate_name(cls, v): +# if v.upper() != v: +# raise ValueError("Name must be in uppercase.") +# return v - @predictor - def get_user_details() -> UserDetails: - pass +# @predictor +# def get_user_details() -> UserDetails: +# pass - # Keep making the mistake (lower case name) until we run - # out of retries. - lm = DSPDummyLM( - [ - '{"name": "lower case name", "age": 25}', - ] - * 10 - ) - dspy.settings.configure(lm=lm) +# # Keep making the mistake (lower case name) until we run +# # out of retries. +# lm = DSPDummyLM( +# [ +# '{"name": "lower case name", "age": 25}', +# ] +# * 10 +# ) +# dspy.settings.configure(lm=lm) - with pytest.raises(ValueError): - get_user_details() +# with pytest.raises(ValueError): +# get_user_details() - print(lm.get_convo(-1)) - assert lm.get_convo(-1) == textwrap.dedent( - """\ - Given the fields , produce the fields `get_user_details`. +# print(lm.get_convo(-1)) +# assert lm.get_convo(-1) == textwrap.dedent( +# """\ +# Given the fields , produce the fields `get_user_details`. - --- +# --- - Follow the following format. +# Follow the following format. - Past Error in Get User Details: An error to avoid in the future - Past Error (2) in Get User Details: An error to avoid in the future - Get User Details: ${get_user_details}. Respond with a single JSON object. JSON Schema: {"properties": {"name": {"title": "Name", "type": "string"}, "age": {"title": "Age", "type": "integer"}}, "required": ["name", "age"], "title": "UserDetails", "type": "object"} +# Past Error in Get User Details: An error to avoid in the future +# Past Error (2) in Get User Details: An error to avoid in the future +# Get User Details: ${get_user_details}. Respond with a single JSON object. JSON Schema: {"properties": {"name": {"title": "Name", "type": "string"}, "age": {"title": "Age", "type": "integer"}}, "required": ["name", "age"], "title": "UserDetails", "type": "object"} - --- +# --- - Past Error in Get User Details: Value error, Name must be in uppercase.: name (error type: value_error) - Past Error (2) in Get User Details: Value error, Name must be in uppercase.: name (error type: value_error) - Get User Details: {"name": "lower case name", "age": 25}""" - ) +# Past Error in Get User Details: Value error, Name must be in uppercase.: name (error type: value_error) +# Past Error (2) in Get User Details: Value error, Name must be in uppercase.: name (error type: value_error) +# Get User Details: {"name": "lower case name", "age": 25}""" +# ) def test_annotated_field(): From cf6ac9a9df6c8b28545ba0081f57a5ea2ff2906c Mon Sep 17 00:00:00 2001 From: Omar Khattab Date: Sat, 26 Oct 2024 15:24:47 -0700 Subject: [PATCH 8/8] Consistently use _parse_values=False from functional.py --- dspy/functional/functional.py | 2 + tests/dsp_LM/functional/test_functional.py | 112 ++++++++++----------- 2 files changed, 58 insertions(+), 56 deletions(-) diff --git a/dspy/functional/functional.py b/dspy/functional/functional.py index 2dff1dcf7e..8bb826044a 100644 --- a/dspy/functional/functional.py +++ b/dspy/functional/functional.py @@ -153,6 +153,7 @@ def _make_example(self, field) -> str: "json_schema -> json_object", "Make a very succinct json object that validates with the following schema", ), + _parse_values=False, )(json_schema=schema).json_object # We use the parser to make sure the json object is valid. try: @@ -220,6 +221,7 @@ class Signature(dspy.Signature): task_description=task_description, language_model_output=model_output, error=error, + _parse_values=False, ).advice def _prepare_signature(self) -> dspy.Signature: diff --git a/tests/dsp_LM/functional/test_functional.py b/tests/dsp_LM/functional/test_functional.py index 5e5274567a..31d0416b7a 100644 --- a/tests/dsp_LM/functional/test_functional.py +++ b/tests/dsp_LM/functional/test_functional.py @@ -329,27 +329,27 @@ def flight_information(email: str) -> TravelInformation: ) -# def test_raises(): -# class TravelInformation(BaseModel): -# origin: str = Field(pattern=r"^[A-Z]{3}$") -# destination: str = Field(pattern=r"^[A-Z]{3}$") -# date: datetime.date +def test_raises(): + class TravelInformation(BaseModel): + origin: str = Field(pattern=r"^[A-Z]{3}$") + destination: str = Field(pattern=r"^[A-Z]{3}$") + date: datetime.date -# @predictor -# def flight_information(email: str) -> TravelInformation: -# pass + @predictor + def flight_information(email: str) -> TravelInformation: + pass -# lm = DSPDummyLM( -# [ -# "A list of bad inputs", -# '{"origin": "JF0", "destination": "LAX", "date": "2022-12-25"}', -# '{"origin": "JFK", "destination": "LAX", "date": "bad date"}', -# ] -# ) -# dspy.settings.configure(lm=lm) + lm = DSPDummyLM( + [ + "A list of bad inputs", + '{"origin": "JF0", "destination": "LAX", "date": "2022-12-25"}', + '{"origin": "JFK", "destination": "LAX", "date": "bad date"}', + ] + ) + dspy.settings.configure(lm=lm) -# with pytest.raises(ValueError): -# flight_information(email="Some email") + with pytest.raises(ValueError): + flight_information(email="Some email") def test_multi_errors(): @@ -405,54 +405,54 @@ def flight_information(email: str) -> TravelInformation: ) -# def test_field_validator(): -# class UserDetails(BaseModel): -# name: str -# age: int +def test_field_validator(): + class UserDetails(BaseModel): + name: str + age: int -# @field_validator("name") -# @classmethod -# def validate_name(cls, v): -# if v.upper() != v: -# raise ValueError("Name must be in uppercase.") -# return v + @field_validator("name") + @classmethod + def validate_name(cls, v): + if v.upper() != v: + raise ValueError("Name must be in uppercase.") + return v -# @predictor -# def get_user_details() -> UserDetails: -# pass + @predictor + def get_user_details() -> UserDetails: + pass -# # Keep making the mistake (lower case name) until we run -# # out of retries. -# lm = DSPDummyLM( -# [ -# '{"name": "lower case name", "age": 25}', -# ] -# * 10 -# ) -# dspy.settings.configure(lm=lm) + # Keep making the mistake (lower case name) until we run + # out of retries. + lm = DSPDummyLM( + [ + '{"name": "lower case name", "age": 25}', + ] + * 10 + ) + dspy.settings.configure(lm=lm) -# with pytest.raises(ValueError): -# get_user_details() + with pytest.raises(ValueError): + get_user_details() -# print(lm.get_convo(-1)) -# assert lm.get_convo(-1) == textwrap.dedent( -# """\ -# Given the fields , produce the fields `get_user_details`. + print(lm.get_convo(-1)) + assert lm.get_convo(-1) == textwrap.dedent( + """\ + Given the fields , produce the fields `get_user_details`. -# --- + --- -# Follow the following format. + Follow the following format. -# Past Error in Get User Details: An error to avoid in the future -# Past Error (2) in Get User Details: An error to avoid in the future -# Get User Details: ${get_user_details}. Respond with a single JSON object. JSON Schema: {"properties": {"name": {"title": "Name", "type": "string"}, "age": {"title": "Age", "type": "integer"}}, "required": ["name", "age"], "title": "UserDetails", "type": "object"} + Past Error in Get User Details: An error to avoid in the future + Past Error (2) in Get User Details: An error to avoid in the future + Get User Details: ${get_user_details}. Respond with a single JSON object. JSON Schema: {"properties": {"name": {"title": "Name", "type": "string"}, "age": {"title": "Age", "type": "integer"}}, "required": ["name", "age"], "title": "UserDetails", "type": "object"} -# --- + --- -# Past Error in Get User Details: Value error, Name must be in uppercase.: name (error type: value_error) -# Past Error (2) in Get User Details: Value error, Name must be in uppercase.: name (error type: value_error) -# Get User Details: {"name": "lower case name", "age": 25}""" -# ) + Past Error in Get User Details: Value error, Name must be in uppercase.: name (error type: value_error) + Past Error (2) in Get User Details: Value error, Name must be in uppercase.: name (error type: value_error) + Get User Details: {"name": "lower case name", "age": 25}""" + ) def test_annotated_field():