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Suppressed userWarnings from litellm pydantic issues (#1833)
* Suppressed userWarnings from litellm pydantic issues * change litellm version * Fix failling ollama tasks
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@@ -11,7 +11,7 @@ dependencies = [
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# Core Dependencies
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"pydantic>=2.4.2",
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"openai>=1.13.3",
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"litellm>=1.44.22",
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"litellm>=1.56.4",
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"instructor>=1.3.3",
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# Text Processing
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@@ -726,11 +726,7 @@ class Crew(BaseModel):
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# Determine which tools to use - task tools take precedence over agent tools
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tools_for_task = task.tools or agent_to_use.tools or []
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tools_for_task = self._prepare_tools(
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agent_to_use,
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task,
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tools_for_task
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)
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tools_for_task = self._prepare_tools(agent_to_use, task, tools_for_task)
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self._log_task_start(task, agent_to_use.role)
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@@ -797,14 +793,18 @@ class Crew(BaseModel):
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return skipped_task_output
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return None
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def _prepare_tools(self, agent: BaseAgent, task: Task, tools: List[Tool]) -> List[Tool]:
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def _prepare_tools(
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self, agent: BaseAgent, task: Task, tools: List[Tool]
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) -> List[Tool]:
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# Add delegation tools if agent allows delegation
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if agent.allow_delegation:
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if self.process == Process.hierarchical:
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if self.manager_agent:
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tools = self._update_manager_tools(task, tools)
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else:
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raise ValueError("Manager agent is required for hierarchical process.")
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raise ValueError(
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"Manager agent is required for hierarchical process."
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)
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elif agent and agent.allow_delegation:
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tools = self._add_delegation_tools(task, tools)
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@@ -823,7 +823,9 @@ class Crew(BaseModel):
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return self.manager_agent
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return task.agent
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def _merge_tools(self, existing_tools: List[Tool], new_tools: List[Tool]) -> List[Tool]:
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def _merge_tools(
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self, existing_tools: List[Tool], new_tools: List[Tool]
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) -> List[Tool]:
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"""Merge new tools into existing tools list, avoiding duplicates by tool name."""
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if not new_tools:
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return existing_tools
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@@ -839,7 +841,9 @@ class Crew(BaseModel):
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return tools
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def _inject_delegation_tools(self, tools: List[Tool], task_agent: BaseAgent, agents: List[BaseAgent]):
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def _inject_delegation_tools(
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self, tools: List[Tool], task_agent: BaseAgent, agents: List[BaseAgent]
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):
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delegation_tools = task_agent.get_delegation_tools(agents)
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return self._merge_tools(tools, delegation_tools)
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@@ -856,7 +860,9 @@ class Crew(BaseModel):
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if len(self.agents) > 1 and len(agents_for_delegation) > 0 and task.agent:
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if not tools:
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tools = []
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tools = self._inject_delegation_tools(tools, task.agent, agents_for_delegation)
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tools = self._inject_delegation_tools(
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tools, task.agent, agents_for_delegation
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)
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return tools
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def _log_task_start(self, task: Task, role: str = "None"):
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@@ -870,7 +876,9 @@ class Crew(BaseModel):
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if task.agent:
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tools = self._inject_delegation_tools(tools, task.agent, [task.agent])
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else:
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tools = self._inject_delegation_tools(tools, self.manager_agent, self.agents)
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tools = self._inject_delegation_tools(
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tools, self.manager_agent, self.agents
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)
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return tools
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def _get_context(self, task: Task, task_outputs: List[TaskOutput]):
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@@ -6,8 +6,10 @@ import warnings
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from contextlib import contextmanager
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from typing import Any, Dict, List, Optional, Union
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import litellm
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from litellm import get_supported_openai_params
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with warnings.catch_warnings():
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warnings.simplefilter("ignore", UserWarning)
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import litellm
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from litellm import get_supported_openai_params
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from crewai.utilities.exceptions.context_window_exceeding_exception import (
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LLMContextLengthExceededException,
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@@ -138,7 +140,7 @@ class LLM:
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self.kwargs = kwargs
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litellm.drop_params = True
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litellm.set_verbose = False
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self.set_callbacks(callbacks)
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self.set_env_callbacks()
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@@ -1,3 +1,4 @@
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import warnings
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from typing import Any, Optional, Type
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@@ -25,9 +26,10 @@ class InternalInstructor:
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if self.agent and not self.llm:
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self.llm = self.agent.function_calling_llm or self.agent.llm
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# Lazy import
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import instructor
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from litellm import completion
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with warnings.catch_warnings():
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warnings.simplefilter("ignore", UserWarning)
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import instructor
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from litellm import completion
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self._client = instructor.from_litellm(
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completion,
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@@ -1,3 +1,5 @@
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import warnings
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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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@@ -12,11 +14,13 @@ 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(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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with warnings.catch_warnings():
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warnings.simplefilter("ignore", UserWarning)
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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(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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@@ -1445,34 +1445,31 @@ def test_llm_call_with_all_attributes():
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@pytest.mark.vcr(filter_headers=["authorization"])
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def test_agent_with_ollama_gemma():
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def test_agent_with_ollama_llama3():
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agent = Agent(
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role="test role",
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goal="test goal",
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backstory="test backstory",
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llm=LLM(
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model="ollama/gemma2:latest",
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base_url="http://localhost:8080",
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),
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llm=LLM(model="ollama/llama3.2:3b", base_url="http://localhost:11434"),
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)
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assert isinstance(agent.llm, LLM)
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assert agent.llm.model == "ollama/gemma2:latest"
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assert agent.llm.base_url == "http://localhost:8080"
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assert agent.llm.model == "ollama/llama3.2:3b"
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assert agent.llm.base_url == "http://localhost:11434"
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task = "Respond in 20 words. Who are you?"
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response = agent.llm.call([{"role": "user", "content": task}])
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assert response
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assert len(response.split()) <= 25 # Allow a little flexibility in word count
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assert "Gemma" in response or "AI" in response or "language model" in response
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assert "Llama3" in response or "AI" in response or "language model" in response
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@pytest.mark.vcr(filter_headers=["authorization"])
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def test_llm_call_with_ollama_gemma():
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def test_llm_call_with_ollama_llama3():
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llm = LLM(
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model="ollama/gemma2:latest",
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base_url="http://localhost:8080",
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model="ollama/llama3.2:3b",
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base_url="http://localhost:11434",
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temperature=0.7,
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max_tokens=30,
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)
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@@ -1482,7 +1479,7 @@ def test_llm_call_with_ollama_gemma():
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assert response
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assert len(response.split()) <= 25 # Allow a little flexibility in word count
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assert "Gemma" in response or "AI" in response or "language model" in response
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assert "Llama3" in response or "AI" in response or "language model" in response
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@pytest.mark.vcr(filter_headers=["authorization"])
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@@ -1578,7 +1575,7 @@ def test_agent_execute_task_with_ollama():
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role="test role",
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goal="test goal",
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backstory="test backstory",
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llm=LLM(model="ollama/gemma2:latest", base_url="http://localhost:8080"),
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llm=LLM(model="ollama/llama3.2:3b", base_url="http://localhost:11434"),
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)
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task = Task(
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@@ -1,42 +1,6 @@
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interactions:
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- request:
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body: !!binary |
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message: OK
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answer to the task use the exact following format:\n\nThought: I now can give
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@@ -46,36 +10,864 @@ interactions:
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explanation of AI\nyou MUST return the actual complete content as the final
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answer, not a summary.\n\nBegin! This is VERY important to you, use the tools
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Answer: Artificial Intelligence (AI) refers to the development of computer systems
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content: "{\"license\":\"LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\\nLlama 3.2 Version
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Release Date: September 25, 2024\\n\\n\u201CAgreement\u201D means the terms
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and conditions for use, reproduction, distribution \\nand modification of the
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Llama Materials set forth herein.\\n\\n\u201CDocumentation\u201D means the specifications,
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manuals and documentation accompanying Llama 3.2\\ndistributed by Meta at https://llama.meta.com/doc/overview.\\n\\n\u201CLicensee\u201D
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or \u201Cyou\u201D means you, or your employer or any other person or entity
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(if you are \\nentering into this Agreement on such person or entity\u2019s
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behalf), of the age required under\\napplicable laws, rules or regulations to
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provide legal consent and that has legal authority\\nto bind your employer or
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such other person or entity if you are entering in this Agreement\\non their
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behalf.\\n\\n\u201CLlama 3.2\u201D means the foundational large language models
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and software and algorithms, including\\nmachine-learning model code, trained
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model weights, inference-enabling code, training-enabling code,\\nfine-tuning
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enabling code and other elements of the foregoing distributed by Meta at \\nhttps://www.llama.com/llama-downloads.\\n\\n\u201CLlama
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Materials\u201D means, collectively, Meta\u2019s proprietary Llama 3.2 and Documentation
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(and \\nany portion thereof) made available under this Agreement.\\n\\n\u201CMeta\u201D
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
- application/x-protobuf
|
||||
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|
||||
- OTel-OTLP-Exporter-Python/1.27.0
|
||||
method: POST
|
||||
uri: https://telemetry.crewai.com:4319/v1/traces
|
||||
response:
|
||||
body:
|
||||
string: "\n\0"
|
||||
headers:
|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
- request:
|
||||
body: '{"model": "gemma2:latest", "prompt": "### User:\nRespond in 20 words. Who
|
||||
are you?\n\n", "options": {}, "stream": false}'
|
||||
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||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
uri: http://localhost:8080/api/generate
|
||||
response:
|
||||
body:
|
||||
string: '{"model":"gemma2:latest","created_at":"2024-09-24T21:57:51.284303Z","response":"I
|
||||
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|
||||
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|
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||||
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|
||||
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|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
version: 1
|
||||
863
tests/cassettes/test_agent_with_ollama_llama3.yaml
Normal file
863
tests/cassettes/test_agent_with_ollama_llama3.yaml
Normal file
@@ -0,0 +1,863 @@
|
||||
interactions:
|
||||
- request:
|
||||
body: '{"model": "llama3.2:3b", "prompt": "### User:\nRespond in 20 words. Who
|
||||
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|
||||
headers:
|
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|
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|
||||
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|
||||
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|
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|
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|
||||
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|
||||
- localhost:11434
|
||||
user-agent:
|
||||
- litellm/1.56.4
|
||||
method: POST
|
||||
uri: http://localhost:11434/api/generate
|
||||
response:
|
||||
content: '{"model":"llama3.2:3b","created_at":"2024-12-31T16:57:54.063894Z","response":"I''m
|
||||
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|
||||
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|
||||
headers:
|
||||
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|
||||
- '692'
|
||||
Content-Type:
|
||||
- application/json; charset=utf-8
|
||||
Date:
|
||||
- Tue, 31 Dec 2024 16:57:54 GMT
|
||||
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"python_full_version >= '3.12' and python_full_version < '3.12.4'",
|
||||
"python_full_version >= '3.12.4'",
|
||||
"python_full_version < '3.11' and platform_system == 'Darwin'",
|
||||
"python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux'",
|
||||
"(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version < '3.11' and platform_system != 'Darwin' and platform_system != 'Linux')",
|
||||
"python_full_version == '3.11.*' and platform_system == 'Darwin'",
|
||||
"python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux'",
|
||||
"(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version == '3.11.*' and platform_system != 'Darwin' and platform_system != 'Linux')",
|
||||
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system == 'Darwin'",
|
||||
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux'",
|
||||
"(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux')",
|
||||
"python_full_version >= '3.12.4' and platform_system == 'Darwin'",
|
||||
"python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux'",
|
||||
"(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux')",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -620,6 +628,9 @@ agentops = [
|
||||
docling = [
|
||||
{ name = "docling" },
|
||||
]
|
||||
embeddings = [
|
||||
{ name = "tiktoken" },
|
||||
]
|
||||
fastembed = [
|
||||
{ name = "fastembed" },
|
||||
]
|
||||
@@ -642,7 +653,6 @@ tools = [
|
||||
[package.dev-dependencies]
|
||||
dev = [
|
||||
{ name = "cairosvg" },
|
||||
{ name = "crewai-tools" },
|
||||
{ name = "mkdocs" },
|
||||
{ name = "mkdocs-material" },
|
||||
{ name = "mkdocs-material-extensions" },
|
||||
@@ -673,7 +683,7 @@ requires-dist = [
|
||||
{ name = "instructor", specifier = ">=1.3.3" },
|
||||
{ name = "json-repair", specifier = ">=0.25.2" },
|
||||
{ name = "jsonref", specifier = ">=1.1.0" },
|
||||
{ name = "litellm", specifier = ">=1.44.22" },
|
||||
{ name = "litellm", specifier = ">=1.56.4" },
|
||||
{ name = "mem0ai", marker = "extra == 'mem0'", specifier = ">=0.1.29" },
|
||||
{ name = "openai", specifier = ">=1.13.3" },
|
||||
{ name = "openpyxl", specifier = ">=3.1.5" },
|
||||
@@ -688,6 +698,7 @@ requires-dist = [
|
||||
{ name = "python-dotenv", specifier = ">=1.0.0" },
|
||||
{ name = "pyvis", specifier = ">=0.3.2" },
|
||||
{ name = "regex", specifier = ">=2024.9.11" },
|
||||
{ name = "tiktoken", marker = "extra == 'embeddings'", specifier = "~=0.7.0" },
|
||||
{ name = "tomli", specifier = ">=2.0.2" },
|
||||
{ name = "tomli-w", specifier = ">=1.1.0" },
|
||||
{ name = "uv", specifier = ">=0.4.25" },
|
||||
@@ -696,7 +707,6 @@ requires-dist = [
|
||||
[package.metadata.requires-dev]
|
||||
dev = [
|
||||
{ name = "cairosvg", specifier = ">=2.7.1" },
|
||||
{ name = "crewai-tools", specifier = ">=0.17.0" },
|
||||
{ name = "mkdocs", specifier = ">=1.4.3" },
|
||||
{ name = "mkdocs-material", specifier = ">=9.5.7" },
|
||||
{ name = "mkdocs-material-extensions", specifier = ">=1.3.1" },
|
||||
@@ -2219,24 +2229,24 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "litellm"
|
||||
version = "1.50.2"
|
||||
version = "1.56.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "aiohttp" },
|
||||
{ name = "click" },
|
||||
{ name = "httpx" },
|
||||
{ name = "importlib-metadata" },
|
||||
{ name = "jinja2" },
|
||||
{ name = "jsonschema" },
|
||||
{ name = "openai" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "python-dotenv" },
|
||||
{ name = "requests" },
|
||||
{ name = "tiktoken" },
|
||||
{ name = "tokenizers" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a7/45/4d54617b267a96f1f7c17c0010ea1aba20e30a3672b873fe92a6001e5952/litellm-1.50.2.tar.gz", hash = "sha256:b244c9a0e069cc626b85fb9f5cc252114aaff1225500da30ce0940f841aef8ea", size = 6096949 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/83/ea/2c51d16c244a64dd3f0bdb1757aef798cf943b92e5695da04e3e42ba09e0/litellm-1.56.4.tar.gz", hash = "sha256:2808ca21878d200f7676a3d11e5bf2b5e3349ae504628f279cd7297c7dbd2038", size = 6284983 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/22/f3/89a4d65d1b9286eb5ac6a6e92dd93523d92f3142a832e60c00d5cad64176/litellm-1.50.2-py3-none-any.whl", hash = "sha256:99cac60c78037946ab809b7cfbbadad53507bb2db8ae39391b4be215a0869fdd", size = 6318265 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8f/25/2fd7b28a270b2963e8fa0ecf6aab4db47c54d932cc5aac8bc87e7ebc3755/litellm-1.56.4-py3-none-any.whl", hash = "sha256:699a8db46f7de045069a77c435e13244b5fdaf5df1c8cb5e6ad675ef7e104ccd", size = 6564370 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -3030,7 +3040,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "openai"
|
||||
version = "1.52.1"
|
||||
version = "1.58.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "anyio" },
|
||||
@@ -3042,9 +3052,9 @@ dependencies = [
|
||||
{ name = "tqdm" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/80/ac/54c76352d493866637756b7c0ecec44f0b5bafb8fe753d98472cf6cfe4ce/openai-1.52.1.tar.gz", hash = "sha256:383b96c7e937cbec23cad5bf5718085381e4313ca33c5c5896b54f8e1b19d144", size = 310069 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/27/3c/b1ecce430ed56fa3ac1b0676966d3250aab9c70a408232b71e419ea62148/openai-1.58.1.tar.gz", hash = "sha256:f5a035fd01e141fc743f4b0e02c41ca49be8fab0866d3b67f5f29b4f4d3c0973", size = 343411 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ad/31/28a83e124e9f9dd04c83b5aeb6f8b1770f45addde4dd3d34d9a9091590ad/openai-1.52.1-py3-none-any.whl", hash = "sha256:f23e83df5ba04ee0e82c8562571e8cb596cd88f9a84ab783e6c6259e5ffbfb4a", size = 386945 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8e/5a/d22cd07f1a99b9e8b3c92ee0c1959188db4318828a3d88c9daac120bdd69/openai-1.58.1-py3-none-any.whl", hash = "sha256:e2910b1170a6b7f88ef491ac3a42c387f08bd3db533411f7ee391d166571d63c", size = 454279 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
Reference in New Issue
Block a user