diff --git a/docs/core-concepts/Agents.md b/docs/core-concepts/Agents.md index fc19d2fb4..c11bf9f63 100644 --- a/docs/core-concepts/Agents.md +++ b/docs/core-concepts/Agents.md @@ -20,7 +20,9 @@ description: What are crewAI Agents and how to use them. | **Role** | Defines the agent's function within the crew. It determines the kind of tasks the agent is best suited for. | | **Goal** | The individual objective that the agent aims to achieve. It guides the agent's decision-making process. | | **Backstory** | Provides context to the agent's role and goal, enriching the interaction and collaboration dynamics. | +| **LLM** | The language model used by the agent to process and generate text. | | **Tools** | Set of capabilities or functions that the agent can use to perform tasks. Tools can be shared or exclusive to specific agents. | +| **Function Calling LLM** | The language model used by this agent to call functions, if none is passed the same main llm for each agent will be used. | | **Max Iter** | The maximum number of iterations the agent can perform before forced to give its best answer | | **Max RPM** | The maximum number of requests per minute the agent can perform to avoid rate limits | | **Verbose** | This allow you to actually see what is going on during the Crew execution. | @@ -47,6 +49,8 @@ agent = Agent( You're currently working on a project to analyze the performance of our marketing campaigns.""", tools=[my_tool1, my_tool2], + llm=my_llm, + function_calling_llm=my_llm, max_iter=10, max_rpm=10, verbose=True, diff --git a/docs/core-concepts/Crews.md b/docs/core-concepts/Crews.md index da7742107..438ad3956 100644 --- a/docs/core-concepts/Crews.md +++ b/docs/core-concepts/Crews.md @@ -16,6 +16,7 @@ description: Understanding and utilizing crews in the crewAI framework. | **Process** | The process flow (e.g., sequential, hierarchical) the crew follows. | | **Verbose** | The verbosity level for logging during execution. | | **Manager LLM** | The language model used by the manager agent in a hierarchical process. | +| **Function Calling LLM** | The language model used by all agensts in the crew to call functions, if none is passed the same main llm for each agent will be used. | | **Config** | Configuration settings for the crew. | | **Max RPM** | Maximum requests per minute the crew adheres to during execution. | | **Language** | Language setting for the crew's operation. | diff --git a/src/crewai/agent.py b/src/crewai/agent.py index 2e4d79940..d5294ba5d 100644 --- a/src/crewai/agent.py +++ b/src/crewai/agent.py @@ -36,6 +36,7 @@ class Agent(BaseModel): goal: The objective of the agent. backstory: The backstory of the agent. llm: The language model that will run the agent. + function_calling_llm: The language model that will the tool calling for this agent, it overrides the crew function_calling_llm. max_iter: Maximum number of iterations for an agent to execute a task. memory: Whether the agent should have memory or not. max_rpm: Maximum number of requests per minute for the agent execution to be respected. @@ -98,6 +99,9 @@ class Agent(BaseModel): ), description="Language model that will run the agent.", ) + function_calling_llm: Optional[Any] = Field( + description="Language model that will run the agent.", default=None + ) @field_validator("id", mode="before") @classmethod @@ -140,7 +144,6 @@ class Agent(BaseModel): Returns: Output of the agent """ - task_prompt = task.prompt() if context: @@ -151,7 +154,7 @@ class Agent(BaseModel): tools = tools or self.tools self.agent_executor.tools = tools self.agent_executor.task = task - self.agent_executor.tools_description = (render_text_description(tools),) + self.agent_executor.tools_description = render_text_description(tools) self.agent_executor.tools_names = self.__tools_names(tools) result = self.agent_executor.invoke( @@ -208,6 +211,7 @@ class Agent(BaseModel): "max_iterations": self.max_iter, "step_callback": self.step_callback, "tools_handler": self.tools_handler, + "function_calling_llm": self.function_calling_llm, } if self._rpm_controller: diff --git a/src/crewai/agents/executor.py b/src/crewai/agents/executor.py index 129381f5f..71dfbbeed 100644 --- a/src/crewai/agents/executor.py +++ b/src/crewai/agents/executor.py @@ -24,6 +24,7 @@ class CrewAgentExecutor(AgentExecutor): task: Any = None tools_description: str = "" tools_names: str = "" + function_calling_llm: Any = None request_within_rpm_limit: Any = None tools_handler: InstanceOf[ToolsHandler] = None max_iterations: Optional[int] = 15 @@ -194,6 +195,7 @@ class CrewAgentExecutor(AgentExecutor): tools=self.tools, tools_description=self.tools_description, tools_names=self.tools_names, + function_calling_llm=self.function_calling_llm, llm=self.llm, task=self.task, ).use(agent_action.log) diff --git a/src/crewai/agents/tools_handler.py b/src/crewai/agents/tools_handler.py index e5c98180e..7159a355d 100644 --- a/src/crewai/agents/tools_handler.py +++ b/src/crewai/agents/tools_handler.py @@ -22,9 +22,9 @@ class ToolsHandler: def on_tool_end(self, calling: ToolCalling, output: str) -> Any: """Run when tool ends running.""" - if self.last_used_tool.function_name != CacheTools().name: + if self.last_used_tool.tool_name != CacheTools().name: self.cache.add( - tool=calling.function_name, + tool=calling.tool_name, input=calling.arguments, output=output, ) diff --git a/src/crewai/crew.py b/src/crewai/crew.py index 06799d7dc..0cdb31aa9 100644 --- a/src/crewai/crew.py +++ b/src/crewai/crew.py @@ -32,6 +32,7 @@ class Crew(BaseModel): tasks: List of tasks assigned to the crew. agents: List of agents part of this crew. manager_llm: The language model that will run manager agent. + function_calling_llm: The language model that will run the tool calling for all the agents. process: The process flow that the crew will follow (e.g., sequential). verbose: Indicates the verbosity level for logging during execution. config: Configuration settings for the crew. @@ -60,6 +61,9 @@ class Crew(BaseModel): manager_llm: Optional[Any] = Field( description="Language model that will run the agent.", default=None ) + function_calling_llm: Optional[Any] = Field( + description="Language model that will run the agent.", default=None + ) config: Optional[Union[Json, Dict[str, Any]]] = Field(default=None) id: UUID4 = Field(default_factory=uuid.uuid4, frozen=True) share_crew: Optional[bool] = Field(default=False) @@ -176,7 +180,11 @@ class Crew(BaseModel): for agent in self.agents: agent.i18n = I18N(language=self.language) - if (self.step_callback) and (not agent.step_callback): + + if not agent.function_calling_llm: + agent.function_calling_llm = self.function_calling_llm + agent.create_agent_executor() + if not agent.step_callback: agent.step_callback = self.step_callback agent.create_agent_executor() diff --git a/src/crewai/tools/tool_usage.py b/src/crewai/tools/tool_usage.py index 8a066a1da..dcd6d724e 100644 --- a/src/crewai/tools/tool_usage.py +++ b/src/crewai/tools/tool_usage.py @@ -41,6 +41,7 @@ class ToolUsage: tools_names: str, task: Any, llm: Any, + function_calling_llm: Any, ) -> None: self._i18n: I18N = I18N() self._printer: Printer = Printer() @@ -54,6 +55,7 @@ class ToolUsage: self.tools = tools self.task = task self.llm = llm + self.function_calling_llm = function_calling_llm def use(self, tool_string: str): calling = self._tool_calling(tool_string) @@ -79,7 +81,9 @@ class ToolUsage: try: result = self._i18n.errors("task_repeated_usage").format( tool=calling.tool_name, - tool_input=", ".join(calling.arguments.values()), + tool_input=", ".join( + [str(arg) for arg in calling.arguments.values()] + ), ) self._printer.print(content=f"\n\n{result}\n", color="yellow") self._telemetry.tool_repeated_usage( @@ -138,7 +142,9 @@ class ToolUsage: self, calling: Union[ToolCalling, InstructorToolCalling] ) -> None: if last_tool_usage := self.tools_handler.last_used_tool: - return calling == last_tool_usage + return (calling.tool_name == last_tool_usage.tool_name) and ( + calling.arguments == last_tool_usage.arguments + ) def _select_tool(self, tool_name: str) -> BaseTool: for tool in self.tools: @@ -175,15 +181,18 @@ class ToolUsage: tool_string = tool_string.replace("Action:", "Tool Name:") tool_string = tool_string.replace("Action Input:", "Tool Arguments:") - if (isinstance(self.llm, ChatOpenAI)) and ( - self.llm.openai_api_base == None - ): + llm = self.function_calling_llm or self.llm + + if (isinstance(llm, ChatOpenAI)) and (llm.openai_api_base == None): + print("CARALHOooooooooooo") + print(llm) + print("CARALHOooooooooooo") client = instructor.patch( - self.llm.client._client, + llm.client._client, mode=instructor.Mode.FUNCTIONS, ) calling = client.chat.completions.create( - model=self.llm.model_name, + model=llm.model_name, messages=[ { "role": "system", @@ -220,13 +229,13 @@ class ToolUsage: """, }, ) - chain = prompt | self.llm | parser + chain = prompt | llm | parser calling = chain.invoke({"tool_string": tool_string}) except Exception: self._run_attempts += 1 if self._run_attempts > self._max_parsing_attempts: - self._telemetry.tool_usage_error(llm=self.llm) + self._telemetry.tool_usage_error(llm=llm) return ToolUsageErrorException(self._i18n.errors("tool_usage_error")) return self._tool_calling(tool_string) diff --git a/tests/agent_test.py b/tests/agent_test.py index cbbcce6c1..03b9e93db 100644 --- a/tests/agent_test.py +++ b/tests/agent_test.py @@ -543,3 +543,35 @@ def test_agent_step_callback(): callback.return_value = "ok" crew.kickoff() callback.assert_called() + + +@pytest.mark.vcr(filter_headers=["authorization"]) +def test_agent_function_calling_llm(): + from langchain_openai import ChatOpenAI + + llm = ChatOpenAI(model="gpt-3.5") + + with patch.object(llm.client, "create", wraps=llm.client.create) as private_mock: + + @tool + def learn_about_AI(topic) -> float: + """Useful for when you need to learn about AI to write an paragraph about it.""" + return "AI is a very broad field." + + agent1 = Agent( + role="test role", + goal="test goal", + backstory="test backstory", + tools=[learn_about_AI], + function_calling_llm=llm, + ) + + essay = Task( + description="Write and then review an small paragraph on AI until it's AMAZING", + agent=agent1, + ) + tasks = [essay] + crew = Crew(agents=[agent1], tasks=tasks) + + crew.kickoff() + private_mock.assert_called() diff --git a/tests/cassettes/test_agent_function_calling_llm.yaml b/tests/cassettes/test_agent_function_calling_llm.yaml new file mode 100644 index 000000000..70527d0e8 --- /dev/null +++ b/tests/cassettes/test_agent_function_calling_llm.yaml @@ -0,0 +1,1954 @@ +interactions: +- request: + body: !!binary | + CttQCiQKIgoMc2VydmljZS5uYW1lEhIKEGNyZXdBSS10ZWxlbWV0cnkSslAKEgoQY3Jld2FpLnRl + 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'*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '10334' + Content-Type: + - application/x-protobuf + User-Agent: + - OTel-OTLP-Exporter-Python/1.22.0 + method: POST + uri: http://telemetry.crewai.com:4318/v1/traces + response: + body: + string: "\n\0" + headers: + Content-Length: + - '2' + Content-Type: + - application/x-protobuf + Date: + - Tue, 13 Feb 2024 09:58:15 GMT + status: + code: 200 + message: OK +- request: + body: '{"messages": [{"role": "user", "content": "You are test role.\ntest backstory\n\nYour + personal goal is: test goalTOOLS:\n------\nYou have access to only the following + tools:\n\nlearn_about_AI: learn_about_AI(topic) -> float - Useful for when you + need to learn about AI to write an paragraph about it.\nDelegate work to co-worker: + Delegate work to co-worker(coworker: str, task: str, context: str) - Delegate + a specific task to one of the following co-workers:\n.\nThe input to this tool + should be the role of the coworker, the task you want them to do, and ALL necessary + context to exectue the task, they know nothing about the task, so share absolute + everything you know, don''t reference things but instead explain them.\nAsk + question to co-worker: Ask question to co-worker(coworker: str, question: str, + context: str) - Ask a specific question to one of the following co-workers:\n.\nThe + input to this tool should be the role of the coworker, the question you have + for them, and ALL necessary context to ask the question properly, they know + nothing about the question, so share absolute everything you know, don''t reference + things but instead explain them.\n\nTo use a tool, please use the exact following + format:\n\n```\nThought: Do I need to use a tool? 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Yes\nAction: learn_about_AI\nAction + Input: \"Applications of Artificial Intelligence\"\nObservation: AI is a very + broad field.\nThought: Do I need to use a tool? 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