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Enforcing 3 Demos in MIPROv2 Meta Prompt #1964

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Enforcing 3 Demos in MIPROv2 Meta Prompt #1964

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72 changes: 46 additions & 26 deletions dspy/propose/grounded_proposer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@
from dspy.propose.utils import create_example_string, create_predictor_level_history_string, strip_prefix, get_dspy_source_code
from dspy.teleprompt.utils import get_signature, get_prompt_model

from dspy.propose.propose_base import Proposer
from .propose_base import Proposer

# Hardcoded variables (TODO: update)
MAX_INSTRUCT_IN_HISTORY = 5 # 10
Expand Down Expand Up @@ -97,6 +97,9 @@ class GenerateSingleModuleInstruction(dspy.Signature):
module = dspy.InputField(
desc="The module to create an instruction for.", prefix="MODULE:",
)
module_description = dspy.InputField(
desc="Description of the module to create an instruction for.", prefix="MODULE DESCRIPTION:",
)
task_demos = dspy.InputField(
format=str,
desc="Example inputs/outputs of our module.",
Expand Down Expand Up @@ -164,24 +167,39 @@ def forward(
program,
previous_instructions,
data_summary,
max_demos=3,
num_demos_in_context=3,
tip=None,
):
# Construct full program demo or single module demo depending on whether or not we're using the full program
task_demos = ""
def gather_examples_from_sets(candidate_sets, max_examples):
"""Helper function to gather up to augmented examples from given sets."""
count = 0
for candidate_set in candidate_sets:
for example in candidate_set:
if "augmented" in example.keys():
fields_to_use = get_signature(program.predictors()[pred_i]).fields
yield create_example_string(fields_to_use, example)
count += 1
if count >= max_examples:
return

# Construct full program demo or single module demo depending on settings
basic_instruction = get_signature(program.predictors()[pred_i]).instructions
curr_demos_num = 0
task_demos = ""

if self.use_task_demos:
for example in demo_candidates[pred_i][demo_set_i]:
if "augmented" in example.keys():
fields_to_use = get_signature(program.predictors()[pred_i]).fields
example_string = create_example_string(fields_to_use, example)
task_demos += f"{example_string}\n"
curr_demos_num += 1
if curr_demos_num >= max_demos:
break
else:
# Combine current and adjacent sets
adjacent_sets = (
[demo_candidates[pred_i][demo_set_i]] +
demo_candidates[pred_i][demo_set_i + 1:] +
demo_candidates[pred_i][:demo_set_i]
)

# Gather examples up to the required count
example_strings = gather_examples_from_sets(adjacent_sets, num_demos_in_context)
task_demos = "\n\n".join(example_strings) + "\n\n"

# Default to no demos provided if no examples were gathered, or if we're using the first demo set
if not task_demos.strip() or demo_set_i == 0:
task_demos = "No task demos provided."

# Summarize the program
Expand Down Expand Up @@ -224,20 +242,19 @@ def forward(

# Generate an instruction for our chosen module
if self.verbose: print(f"task_demos {task_demos}")

instruct = self.generate_module_instruction(
dataset_description=data_summary,
program_code=self.program_code_string,
program_description=program_description,
module=module_code,
program_description=program_description,
module_description=module_description,
task_demos=task_demos,
tip=tip,
basic_instruction=basic_instruction,
previous_instructions=previous_instructions,
module_description=module_description,
)
if hasattr(instruct, "module_description"):
module_description = strip_prefix(instruct.module_description)
if self.verbose: print(f"MODULE DESCRIPTION: {module_description}")

proposed_instruction = strip_prefix(instruct.proposed_instruction)

return dspy.Prediction(proposed_instruction=proposed_instruction)
Expand All @@ -254,6 +271,7 @@ def __init__(
use_dataset_summary=True,
program_aware=True,
use_task_demos=True,
num_demos_in_context = 3,
use_instruct_history=True,
use_tip=True,
set_tip_randomly=True,
Expand All @@ -265,6 +283,7 @@ def __init__(
self.program_aware = program_aware
self.use_dataset_summary = use_dataset_summary
self.use_task_demos = use_task_demos
self.num_demos_in_context = num_demos_in_context
self.use_instruct_history = use_instruct_history
self.use_tip = use_tip
self.set_tip_randomly=set_tip_randomly
Expand Down Expand Up @@ -315,15 +334,13 @@ def propose_instructions_for_program(
self.use_instruct_history = use_history
if self.verbose: print(f"Use history T/F: {self.use_instruct_history}")

num_demos = max(len(demo_candidates[0]) if demo_candidates else N, 1)

if not demo_candidates:
if self.verbose: print("No demo candidates provided. Running without task demos.")
self.use_task_demos = False

# Create an instruction for each predictor
for pred_i, predictor in enumerate(program.predictors()):
for demo_set_i in range(num_demos):
for demo_set_i in range(len(demo_candidates[0])):
if pred_i not in proposed_instructions:
proposed_instructions[pred_i] = []
if self.set_tip_randomly:
Expand All @@ -341,15 +358,14 @@ def propose_instructions_for_program(
program=program,
predictor=predictor,
pred_i=pred_i,
# prompt_model=prompt_model,
T=T,
demo_candidates=demo_candidates,
demo_set_i=demo_set_i,
trial_logs=trial_logs,
tip=selected_tip,
),
)

return proposed_instructions

def propose_instruction_for_predictor(
Expand Down Expand Up @@ -385,15 +401,19 @@ def propose_instruction_for_predictor(
# Generate a new instruction for our predictor, using the temperature specified for this round
original_temp = self.prompt_model.kwargs["temperature"]

epsilon = self.rng.uniform(0.01, 0.05)
modified_temp = T + epsilon

with dspy.settings.context(lm=self.prompt_model):
self.prompt_model.kwargs["temperature"] = T
self.prompt_model.kwargs["temperature"] = modified_temp
proposed_instruction = instruction_generator.forward(
demo_candidates=demo_candidates,
pred_i=pred_i,
demo_set_i=demo_set_i,
program=program,
data_summary=self.data_summary,
previous_instructions=instruction_history,
num_demos_in_context = self.num_demos_in_context,
tip=tip,
).proposed_instruction
self.prompt_model.kwargs["temperature"] = original_temp
Expand All @@ -402,4 +422,4 @@ def propose_instruction_for_predictor(
if self.verbose: self.prompt_model.inspect_history(n=1)
if self.verbose: print(f"PROPOSED INSTRUCTION: {proposed_instruction}")

return strip_prefix(proposed_instruction)
return strip_prefix(proposed_instruction)
1 change: 1 addition & 0 deletions dspy/teleprompt/mipro_optimizer_v2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -437,6 +437,7 @@ def _propose_instructions(
program_aware=program_aware_proposer,
use_dataset_summary=data_aware_proposer,
use_task_demos=fewshot_aware_proposer,
num_demos_in_context = BOOTSTRAPPED_FEWSHOT_EXAMPLES_IN_CONTEXT,
use_tip=tip_aware_proposer,
set_tip_randomly=tip_aware_proposer,
use_instruct_history=False,
Expand Down
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