new observer thoughts (#1442)

This commit is contained in:
Shuchang Zheng
2024-12-27 09:04:09 -08:00
committed by GitHub
parent d03957d590
commit 9e6c2362bf
6 changed files with 198 additions and 17 deletions

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@@ -0,0 +1,35 @@
"""new observer thoughts
Revision ID: d13af1e466fa
Revises: 835522a23b19
Create Date: 2024-12-27 16:10:36.555540+00:00
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "d13af1e466fa"
down_revision: Union[str, None] = "835522a23b19"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.add_column("observer_thoughts", sa.Column("observer_thought_type", sa.String(), nullable=True))
op.add_column("observer_thoughts", sa.Column("observer_thought_scenario", sa.String(), nullable=True))
op.add_column("observer_thoughts", sa.Column("output", sa.JSON(), nullable=True))
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_column("observer_thoughts", "output")
op.drop_column("observer_thoughts", "observer_thought_scenario")
op.drop_column("observer_thoughts", "observer_thought_type")
# ### end Alembic commands ###

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@@ -1,6 +1,6 @@
The user is trying to achieve a goal the web. Now they've decided to go through a list of values and take the same tasks with each variant in the list.
Help to user extract this list of values based on what they want to achieve:
Help the user extract a list of values based on what they want to achieve:
```
{{ plan }}
```
```

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@@ -55,7 +55,12 @@ from skyvern.forge.sdk.db.utils import (
)
from skyvern.forge.sdk.log_artifacts import save_workflow_run_logs
from skyvern.forge.sdk.models import Step, StepStatus
from skyvern.forge.sdk.schemas.observers import ObserverCruise, ObserverCruiseStatus, ObserverThought
from skyvern.forge.sdk.schemas.observers import (
ObserverCruise,
ObserverCruiseStatus,
ObserverThought,
ObserverThoughtType,
)
from skyvern.forge.sdk.schemas.organizations import Organization, OrganizationAuthToken
from skyvern.forge.sdk.schemas.task_generations import TaskGeneration
from skyvern.forge.sdk.schemas.tasks import OrderBy, ProxyLocation, SortDirection, Task, TaskStatus
@@ -1924,17 +1929,19 @@ class AgentDB:
async def get_observer_thoughts(
self,
observer_cruise_id: str,
observer_thought_types: list[ObserverThoughtType] | None = None,
organization_id: str | None = None,
) -> list[ObserverThought]:
async with self.Session() as session:
observer_thoughts = (
await session.scalars(
select(ObserverThoughtModel)
.filter_by(observer_cruise_id=observer_cruise_id)
.filter_by(organization_id=organization_id)
.order_by(ObserverThoughtModel.created_at)
)
).all()
query = (
select(ObserverThoughtModel)
.filter_by(observer_cruise_id=observer_cruise_id)
.filter_by(organization_id=organization_id)
.order_by(ObserverThoughtModel.created_at)
)
if observer_thought_types:
query = query.filter(ObserverThoughtModel.observer_thought_type.in_(observer_thought_types))
observer_thoughts = (await session.scalars(query)).all()
return [ObserverThought.model_validate(thought) for thought in observer_thoughts]
async def create_observer_cruise(
@@ -1971,6 +1978,9 @@ class AgentDB:
observation: str | None = None,
thought: str | None = None,
answer: str | None = None,
observer_thought_scenario: str | None = None,
observer_thought_type: str = ObserverThoughtType.plan,
output: dict[str, Any] | None = None,
organization_id: str | None = None,
) -> ObserverThought:
async with self.Session() as session:
@@ -1984,6 +1994,9 @@ class AgentDB:
observation=observation,
thought=thought,
answer=answer,
observer_thought_scenario=observer_thought_scenario,
observer_thought_type=observer_thought_type,
output=output,
organization_id=organization_id,
)
session.add(new_observer_thought)
@@ -1995,9 +2008,13 @@ class AgentDB:
self,
observer_thought_id: str,
workflow_run_block_id: str | None = None,
workflow_run_id: str | None = None,
workflow_id: str | None = None,
workflow_permanent_id: str | None = None,
observation: str | None = None,
thought: str | None = None,
answer: str | None = None,
output: dict[str, Any] | None = None,
organization_id: str | None = None,
) -> ObserverThought:
async with self.Session() as session:
@@ -2011,12 +2028,20 @@ class AgentDB:
if observer_thought:
if workflow_run_block_id:
observer_thought.workflow_run_block_id = workflow_run_block_id
if workflow_run_id:
observer_thought.workflow_run_id = workflow_run_id
if workflow_id:
observer_thought.workflow_id = workflow_id
if workflow_permanent_id:
observer_thought.workflow_permanent_id = workflow_permanent_id
if observation:
observer_thought.observation = observation
if thought:
observer_thought.thought = thought
if answer:
observer_thought.answer = answer
if output:
observer_thought.output = output
await session.commit()
await session.refresh(observer_thought)
return ObserverThought.model_validate(observer_thought)

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@@ -41,6 +41,7 @@ from skyvern.forge.sdk.db.id import (
generate_workflow_run_block_id,
generate_workflow_run_id,
)
from skyvern.forge.sdk.schemas.observers import ObserverThoughtType
from skyvern.forge.sdk.schemas.tasks import ProxyLocation
@@ -559,6 +560,10 @@ class ObserverThoughtModel(Base):
thought = Column(String, nullable=True)
answer = Column(String, nullable=True)
observer_thought_type = Column(String, nullable=True, default=ObserverThoughtType.plan)
observer_thought_scenario = Column(String, nullable=True)
output = Column(JSON, nullable=True)
created_at = Column(DateTime, default=datetime.datetime.utcnow, nullable=False)
modified_at = Column(DateTime, default=datetime.datetime.utcnow, onupdate=datetime.datetime.utcnow, nullable=False)

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@@ -1,5 +1,6 @@
from datetime import datetime
from enum import StrEnum
from typing import Any
from pydantic import BaseModel, ConfigDict, HttpUrl, field_validator
@@ -35,6 +36,22 @@ class ObserverCruise(BaseModel):
modified_at: datetime
class ObserverThoughtType(StrEnum):
plan = "plan"
metadata = "metadata"
user_goal_check = "user_goal_check"
internal_plan = "internal_plan"
class ObserverThoughtScenario(StrEnum):
generate_plan = "generate_plan"
user_goal_check = "user_goal_check"
generate_metadata = "generate_metadata"
extract_loop_values = "extract_loop_values"
generate_task_in_loop = "generate_task_in_loop"
generate_task = "generate_general_task"
class ObserverThought(BaseModel):
model_config = ConfigDict(from_attributes=True)
@@ -49,6 +66,9 @@ class ObserverThought(BaseModel):
observation: str | None = None
thought: str | None = None
answer: str | None = None
observer_thought_type: ObserverThoughtType | None = ObserverThoughtType.plan
observer_thought_scenario: ObserverThoughtScenario | None = None
output: dict[str, Any] | None = None
created_at: datetime
modified_at: datetime

View File

@@ -10,9 +10,16 @@ from pydantic import BaseModel
from skyvern.exceptions import UrlGenerationFailure
from skyvern.forge import app
from skyvern.forge.prompts import prompt_engine
from skyvern.forge.sdk.artifact.models import ArtifactType
from skyvern.forge.sdk.core import skyvern_context
from skyvern.forge.sdk.core.skyvern_context import SkyvernContext
from skyvern.forge.sdk.schemas.observers import ObserverCruise, ObserverCruiseStatus, ObserverMetadata
from skyvern.forge.sdk.schemas.observers import (
ObserverCruise,
ObserverCruiseStatus,
ObserverMetadata,
ObserverThoughtScenario,
ObserverThoughtType,
)
from skyvern.forge.sdk.schemas.organizations import Organization
from skyvern.forge.sdk.schemas.tasks import ProxyLocation
from skyvern.forge.sdk.schemas.workflow_runs import WorkflowRunTimeline, WorkflowRunTimelineType
@@ -76,6 +83,13 @@ async def initialize_observer_cruise(
organization_id=organization.organization_id,
)
observer_thought = await app.DATABASE.create_observer_thought(
observer_cruise_id=observer_cruise.observer_cruise_id,
organization_id=organization.organization_id,
observer_thought_type=ObserverThoughtType.metadata,
observer_thought_scenario=ObserverThoughtScenario.generate_metadata,
)
metadata_prompt = prompt_engine.load_prompt("observer_generate_metadata", user_goal=user_prompt, user_url=user_url)
metadata_response = await app.SECONDARY_LLM_API_HANDLER(prompt=metadata_prompt, observer_cruise=observer_cruise)
# validate
@@ -103,6 +117,16 @@ async def initialize_observer_cruise(
version=None,
max_steps_override=max_steps_override,
)
await app.DATABASE.update_observer_thought(
observer_thought_id=observer_thought.observer_thought_id,
organization_id=organization.organization_id,
workflow_run_id=workflow_run.workflow_run_id,
workflow_id=new_workflow.workflow_id,
workflow_permanent_id=new_workflow.workflow_permanent_id,
thought=metadata_response.get("thoughts", ""),
output=metadata.model_dump(),
)
# update oserver cruise
observer_cruise = await app.DATABASE.update_observer_cruise(
observer_cruise_id=observer_cruise.observer_cruise_id,
@@ -237,6 +261,8 @@ async def run_observer_cruise(
workflow_run_id=workflow_run.workflow_run_id,
workflow_id=workflow.workflow_id,
workflow_permanent_id=workflow.workflow_permanent_id,
observer_thought_type=ObserverThoughtType.plan,
observer_thought_scenario=ObserverThoughtScenario.generate_plan,
)
observer_response = await app.LLM_API_HANDLER(
prompt=observer_prompt,
@@ -255,6 +281,7 @@ async def run_observer_cruise(
observation = observer_response.get("page_info", "")
thoughts: str = observer_response.get("thoughts", "")
plan: str = observer_response.get("plan", "")
task_type: str = observer_response.get("task_type", "")
# Create and save observer thought
await app.DATABASE.update_observer_thought(
observer_thought_id=observer_thought.observer_thought_id,
@@ -262,6 +289,7 @@ async def run_observer_cruise(
thought=thoughts,
observation=observation,
answer=plan,
output={"task_type": task_type, "user_goal_achieved": user_goal_achieved},
)
if user_goal_achieved is True:
@@ -274,7 +302,6 @@ async def run_observer_cruise(
break
# parse observer repsonse and run the next task
task_type = observer_response.get("task_type")
if not task_type:
LOG.error("No task type found in observer response", observer_response=observer_response)
await app.WORKFLOW_SERVICE.mark_workflow_run_as_failed(
@@ -288,6 +315,8 @@ async def run_observer_cruise(
block, block_yaml_list, parameter_yaml_list = await _generate_extraction_task(
observer_cruise=observer_cruise,
workflow_id=workflow_id,
workflow_permanent_id=workflow.workflow_permanent_id,
workflow_run_id=workflow_run_id,
current_url=current_url,
element_tree_in_prompt=element_tree_in_prompt,
data_extraction_goal=plan,
@@ -298,6 +327,8 @@ async def run_observer_cruise(
original_url = url if i == 0 else None
block, block_yaml_list, parameter_yaml_list = await _generate_navigation_task(
workflow_id=workflow_id,
workflow_permanent_id=workflow.workflow_permanent_id,
workflow_run_id=workflow_run_id,
original_url=original_url,
navigation_goal=plan,
)
@@ -307,6 +338,7 @@ async def run_observer_cruise(
block, block_yaml_list, parameter_yaml_list, extraction_obj, inner_task = await _generate_loop_task(
observer_cruise=observer_cruise,
workflow_id=workflow_id,
workflow_permanent_id=workflow.workflow_permanent_id,
workflow_run_id=workflow_run_id,
plan=plan,
browser_state=browser_state,
@@ -378,8 +410,18 @@ async def run_observer_cruise(
task_history=task_history,
local_datetime=datetime.now(context.tz_info).isoformat(),
)
observer_thought = await app.DATABASE.create_observer_thought(
observer_cruise_id=observer_cruise_id,
organization_id=organization_id,
workflow_run_id=workflow_run_id,
workflow_id=workflow_id,
workflow_permanent_id=workflow.workflow_permanent_id,
observer_thought_type=ObserverThoughtType.user_goal_check,
observer_thought_scenario=ObserverThoughtScenario.user_goal_check,
)
completion_resp = await app.LLM_API_HANDLER(
prompt=observer_completion_prompt, observer_cruise=observer_cruise
prompt=observer_completion_prompt,
observer_cruise=observer_thought,
)
LOG.info(
"Observer completion check response",
@@ -388,7 +430,15 @@ async def run_observer_cruise(
workflow_run_id=workflow_run_id,
task_history=task_history,
)
if completion_resp.get("user_goal_achieved", False):
user_goal_achieved = completion_resp.get("user_goal_achieved", False)
thought = completion_resp.get("thoughts", "")
await app.DATABASE.update_observer_thought(
observer_thought_id=observer_thought.observer_thought_id,
organization_id=organization_id,
thought=thought,
output={"user_goal_achieved": user_goal_achieved},
)
if user_goal_achieved:
LOG.info(
"User goal achieved according to the observer completion check",
iteration=i,
@@ -514,6 +564,7 @@ async def _set_up_workflow_context(workflow_id: str, workflow_run_id: str) -> No
async def _generate_loop_task(
observer_cruise: ObserverCruise,
workflow_id: str,
workflow_permanent_id: str,
workflow_run_id: str,
plan: str,
browser_state: BrowserState,
@@ -525,7 +576,25 @@ async def _generate_loop_task(
"observer_loop_task_extraction_goal",
plan=plan,
)
data_extraction_thought = f"Going to generate a list of values to go through based on the plan: {plan}."
observer_thought = await app.DATABASE.create_observer_thought(
observer_cruise_id=observer_cruise.observer_cruise_id,
organization_id=observer_cruise.organization_id,
workflow_run_id=workflow_run_id,
workflow_id=workflow_id,
workflow_permanent_id=workflow_permanent_id,
observer_thought_type=ObserverThoughtType.plan,
observer_thought_scenario=ObserverThoughtScenario.extract_loop_values,
thought=data_extraction_thought,
)
# generate screenshot artifact for the observer thought
if scraped_page.screenshots:
for screenshot in scraped_page.screenshots:
await app.ARTIFACT_MANAGER.create_observer_thought_artifact(
observer_thought=observer_thought,
artifact_type=ArtifactType.SCREENSHOT_LLM,
data=screenshot,
)
label = f"extraction_task_for_loop_{_generate_random_string()}"
extraction_block_yaml = ExtractionBlockYAML(
label=label,
@@ -576,6 +645,13 @@ async def _generate_loop_task(
)
raise
# update the observer thought
await app.DATABASE.update_observer_thought(
observer_thought_id=observer_thought.observer_thought_id,
organization_id=observer_cruise.organization_id,
output=output_value_obj.model_dump(),
)
# create ContextParameter for the loop over pointer that ForLoopBlock needs.
loop_for_context_parameter = ContextParameter(
key="loop_values",
@@ -627,15 +703,31 @@ async def _generate_loop_task(
is_link=output_value_obj.is_loop_value_link,
loop_values=output_value_obj.loop_values,
)
observer_thought_task_in_loop = await app.DATABASE.create_observer_thought(
observer_cruise_id=observer_cruise.observer_cruise_id,
organization_id=observer_cruise.organization_id,
workflow_run_id=workflow_run_id,
workflow_id=workflow_id,
workflow_permanent_id=workflow_permanent_id,
observer_thought_type=ObserverThoughtType.internal_plan,
observer_thought_scenario=ObserverThoughtScenario.generate_task_in_loop,
)
task_in_loop_metadata_response = await app.LLM_API_HANDLER(
task_in_loop_metadata_prompt,
screenshots=scraped_page.screenshots,
observer_cruise=observer_cruise,
observer_thought=observer_thought_task_in_loop,
)
LOG.info("Task in loop metadata response", task_in_loop_metadata_response=task_in_loop_metadata_response)
navigation_goal = task_in_loop_metadata_response.get("navigation_goal")
data_extraction_goal = task_in_loop_metadata_response.get("data_extraction_goal")
data_extraction_schema = task_in_loop_metadata_response.get("data_schema")
thought = task_in_loop_metadata_response.get("thoughts")
await app.DATABASE.update_observer_thought(
observer_thought_id=observer_thought_task_in_loop.observer_thought_id,
organization_id=observer_cruise.organization_id,
thought=thought,
output=task_in_loop_metadata_response,
)
if data_extraction_goal and navigation_goal:
navigation_goal = (
navigation_goal
@@ -699,6 +791,8 @@ async def _generate_loop_task(
async def _generate_extraction_task(
observer_cruise: ObserverCruise,
workflow_id: str,
workflow_permanent_id: str,
workflow_run_id: str,
current_url: str,
element_tree_in_prompt: str,
data_extraction_goal: str,
@@ -753,6 +847,8 @@ async def _generate_extraction_task(
async def _generate_navigation_task(
workflow_id: str,
workflow_permanent_id: str,
workflow_run_id: str,
navigation_goal: str,
original_url: str | None = None,
) -> tuple[NavigationBlock, list[BLOCK_YAML_TYPES], list[PARAMETER_YAML_TYPES]]: