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refactor(workforce): Refactor WorkforceCallback and all related callbacks to async interface #3363

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refactor(workforce): Refactor WorkforceCallback and all related callbacks to async interface #3363

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20 changes: 12 additions & 8 deletions camel/benchmarks/browsecomp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========

import asyncio
import base64
import hashlib
import json
Expand Down Expand Up @@ -585,15 +585,19 @@ def process_benchmark_row(row: Dict[str, Any]) -> Dict[str, Any]:
input_message = QUERY_TEMPLATE.format(question=problem)

if isinstance(pipeline_template, (ChatAgent)):
pipeline = pipeline_template.clone() # type: ignore[assignment]
chat_pipeline = pipeline_template.clone()

response_text = pipeline.step(
response_text = chat_pipeline.step(
input_message, response_format=QueryResponse
)
elif isinstance(pipeline_template, Workforce):
pipeline = pipeline_template.clone() # type: ignore[assignment]
workforce_pipeline = asyncio.run(
pipeline_template.clone_async()
)
task = Task(content=input_message, id="0")
task = pipeline.process_task(task) # type: ignore[attr-defined]
task = asyncio.run(
workforce_pipeline.process_task_async(task)
) # type: ignore[attr-defined]
if task_json_formatter:
formatter_in_process = task_json_formatter.clone()
else:
Expand All @@ -607,16 +611,16 @@ def process_benchmark_row(row: Dict[str, Any]) -> Dict[str, Any]:

elif isinstance(pipeline_template, RolePlaying):
# RolePlaying is different.
pipeline = pipeline_template.clone( # type: ignore[assignment]
rp_pipeline = pipeline_template.clone(
task_prompt=input_message
)

n = 0
input_msg = pipeline.init_chat() # type: ignore[attr-defined]
input_msg = rp_pipeline.init_chat()
chat_history = []
while n < chat_turn_limit:
n += 1
assistant_response, user_response = pipeline.step(
assistant_response, user_response = rp_pipeline.step(
input_msg
)
if assistant_response.terminated: # type: ignore[union-attr]
Expand Down
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