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7 Commits
fix/step-c
...
0.80.0
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4ca785eb15 | ||
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c57cbd8591 | ||
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7fb1289205 | ||
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f02681ae01 | ||
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c725105b1f | ||
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36aa4bcb46 | ||
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b98f8f9fe1 |
@@ -4,6 +4,7 @@ from crewai.types.usage_metrics import UsageMetrics
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class TokenProcess:
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total_tokens: int = 0
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prompt_tokens: int = 0
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cached_prompt_tokens: int = 0
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completion_tokens: int = 0
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successful_requests: int = 0
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@@ -15,6 +16,9 @@ class TokenProcess:
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self.completion_tokens = self.completion_tokens + tokens
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self.total_tokens = self.total_tokens + tokens
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def sum_cached_prompt_tokens(self, tokens: int):
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self.cached_prompt_tokens = self.cached_prompt_tokens + tokens
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def sum_successful_requests(self, requests: int):
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self.successful_requests = self.successful_requests + requests
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@@ -22,6 +26,7 @@ class TokenProcess:
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return UsageMetrics(
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total_tokens=self.total_tokens,
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prompt_tokens=self.prompt_tokens,
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cached_prompt_tokens=self.cached_prompt_tokens,
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completion_tokens=self.completion_tokens,
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successful_requests=self.successful_requests,
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)
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@@ -145,25 +145,26 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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formatted_answer.result = action_result
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self._show_logs(formatted_answer)
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if self.step_callback:
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self.step_callback(formatted_answer)
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if self.step_callback:
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self.step_callback(formatted_answer)
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if self._should_force_answer():
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if self.have_forced_answer:
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return AgentFinish(
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output=self._i18n.errors(
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"force_final_answer_error"
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).format(formatted_answer.text),
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text=formatted_answer.text,
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)
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else:
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formatted_answer.text += (
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f'\n{self._i18n.errors("force_final_answer")}'
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)
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self.have_forced_answer = True
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self.messages.append(
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self._format_msg(formatted_answer.text, role="assistant")
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)
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if self._should_force_answer():
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if self.have_forced_answer:
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return AgentFinish(
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thought="",
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output=self._i18n.errors(
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"force_final_answer_error"
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).format(formatted_answer.text),
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text=formatted_answer.text,
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)
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else:
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formatted_answer.text += (
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f'\n{self._i18n.errors("force_final_answer")}'
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)
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self.have_forced_answer = True
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self.messages.append(
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self._format_msg(formatted_answer.text, role="assistant")
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)
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except OutputParserException as e:
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self.messages.append({"role": "user", "content": e.error})
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@@ -8,6 +8,7 @@ class UsageMetrics(BaseModel):
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Attributes:
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total_tokens: Total number of tokens used.
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prompt_tokens: Number of tokens used in prompts.
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cached_prompt_tokens: Number of cached prompt tokens used.
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completion_tokens: Number of tokens used in completions.
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successful_requests: Number of successful requests made.
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"""
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@@ -16,6 +17,9 @@ class UsageMetrics(BaseModel):
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prompt_tokens: int = Field(
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default=0, description="Number of tokens used in prompts."
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)
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cached_prompt_tokens: int = Field(
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default=0, description="Number of cached prompt tokens used."
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)
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completion_tokens: int = Field(
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default=0, description="Number of tokens used in completions."
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)
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@@ -32,5 +36,6 @@ class UsageMetrics(BaseModel):
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"""
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self.total_tokens += usage_metrics.total_tokens
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self.prompt_tokens += usage_metrics.prompt_tokens
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self.cached_prompt_tokens += usage_metrics.cached_prompt_tokens
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self.completion_tokens += usage_metrics.completion_tokens
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self.successful_requests += usage_metrics.successful_requests
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@@ -1,5 +1,5 @@
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from litellm.integrations.custom_logger import CustomLogger
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from litellm.types.utils import Usage
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from crewai.agents.agent_builder.utilities.base_token_process import TokenProcess
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@@ -11,8 +11,11 @@ class TokenCalcHandler(CustomLogger):
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if self.token_cost_process is None:
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return
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usage : Usage = response_obj["usage"]
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self.token_cost_process.sum_successful_requests(1)
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self.token_cost_process.sum_prompt_tokens(response_obj["usage"].prompt_tokens)
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self.token_cost_process.sum_completion_tokens(
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response_obj["usage"].completion_tokens
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)
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self.token_cost_process.sum_prompt_tokens(usage.prompt_tokens)
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self.token_cost_process.sum_completion_tokens(usage.completion_tokens)
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if usage.prompt_tokens_details:
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self.token_cost_process.sum_cached_prompt_tokens(
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usage.prompt_tokens_details.cached_tokens
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)
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@@ -10,7 +10,8 @@ interactions:
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def test_crew_train_error():
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Reference in New Issue
Block a user