diff --git a/lib/crewai/src/crewai/experimental/agent_executor.py b/lib/crewai/src/crewai/experimental/agent_executor.py index 12dbc6bf3..e22b8c129 100644 --- a/lib/crewai/src/crewai/experimental/agent_executor.py +++ b/lib/crewai/src/crewai/experimental/agent_executor.py @@ -61,6 +61,7 @@ from crewai.utilities.agent_utils import ( ) from crewai.utilities.constants import TRAINING_DATA_FILE from crewai.utilities.i18n import I18N, get_i18n +from crewai.utilities.planning_types import PlanStep, TodoItem, TodoList from crewai.utilities.printer import Printer from crewai.utilities.string_utils import sanitize_tool_name from crewai.utilities.tool_utils import execute_tool_and_check_finality @@ -98,6 +99,9 @@ class AgentReActState(BaseModel): plan_ready: bool = Field( default=False, description="Whether agent is ready to execute" ) + todos: TodoList = Field( + default_factory=TodoList, description="Todo list for tracking plan execution" + ) class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): @@ -330,7 +334,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): This is the entry point for the agent execution flow. If planning is enabled on the agent, it generates a plan before execution begins. - The plan is stored in state but not executed on yet (Phase 2). + The plan is stored in state and todos are created from the steps. """ if not getattr(self.agent, "planning_enabled", False): return @@ -354,6 +358,9 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): self.state.plan = output.plan.plan self.state.plan_ready = output.plan.ready + if self.state.plan_ready and output.plan.steps: + self._create_todos_from_plan(output.plan.steps) + # Backward compatibility: append plan to task description # This can be removed in Phase 2 when plan execution is implemented if self.task and self.state.plan: @@ -363,6 +370,25 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): if hasattr(self.agent, "_logger"): self.agent._logger.log("error", f"Error during planning: {e!s}") + def _create_todos_from_plan(self, steps: list[PlanStep]) -> None: + """Convert plan steps into trackable todo items. + + Args: + steps: List of PlanStep objects from the reasoning handler. + """ + todos: list[TodoItem] = [] + for step in steps: + todo = TodoItem( + step_number=step.step_number, + description=step.description, + tool_to_use=step.tool_to_use, + depends_on=step.depends_on, + status="pending", + ) + todos.append(todo) + + self.state.todos = TodoList(items=todos) + @listen(generate_plan) def initialize_reasoning(self) -> Literal["initialized"]: """Initialize the reasoning flow and emit agent start logs.""" diff --git a/lib/crewai/src/crewai/utilities/planning_types.py b/lib/crewai/src/crewai/utilities/planning_types.py new file mode 100644 index 000000000..bafd04453 --- /dev/null +++ b/lib/crewai/src/crewai/utilities/planning_types.py @@ -0,0 +1,103 @@ +"""Types for agent planning and todo tracking.""" + +from __future__ import annotations + +from typing import Literal +from uuid import uuid4 + +from pydantic import BaseModel, Field + + +# Todo status type +TodoStatus = Literal["pending", "running", "completed"] + + +class PlanStep(BaseModel): + """A single step in the reasoning plan.""" + + step_number: int = Field(description="Step number (1-based)") + description: str = Field(description="What to do in this step") + tool_to_use: str | None = Field( + default=None, description="Tool to use for this step, if any" + ) + depends_on: list[int] = Field( + default_factory=list, description="Step numbers this step depends on" + ) + + +class TodoItem(BaseModel): + """A single todo item representing a step in the execution plan.""" + + id: str = Field(default_factory=lambda: str(uuid4())) + step_number: int = Field(description="Order of this step in the plan (1-based)") + description: str = Field(description="What needs to be done") + tool_to_use: str | None = Field( + default=None, description="Tool to use for this step, if any" + ) + status: TodoStatus = Field(default="pending", description="Current status") + depends_on: list[int] = Field( + default_factory=list, description="Step numbers this depends on" + ) + result: str | None = Field( + default=None, description="Result after completion, if any" + ) + + +class TodoList(BaseModel): + """Collection of todos for tracking plan execution.""" + + items: list[TodoItem] = Field(default_factory=list) + + @property + def current_todo(self) -> TodoItem | None: + """Get the currently running todo item.""" + for item in self.items: + if item.status == "running": + return item + return None + + @property + def next_pending(self) -> TodoItem | None: + """Get the next pending todo item.""" + for item in self.items: + if item.status == "pending": + return item + return None + + @property + def is_complete(self) -> bool: + """Check if all todos are completed.""" + return len(self.items) > 0 and all( + item.status == "completed" for item in self.items + ) + + @property + def pending_count(self) -> int: + """Count of pending todos.""" + return sum(1 for item in self.items if item.status == "pending") + + @property + def completed_count(self) -> int: + """Count of completed todos.""" + return sum(1 for item in self.items if item.status == "completed") + + def get_by_step_number(self, step_number: int) -> TodoItem | None: + """Get a todo by its step number.""" + for item in self.items: + if item.step_number == step_number: + return item + return None + + def mark_running(self, step_number: int) -> None: + """Mark a todo as running by step number.""" + item = self.get_by_step_number(step_number) + if item: + item.status = "running" + + def mark_completed(self, step_number: int, result: str | None = None) -> None: + """Mark a todo as completed by step number.""" + item = self.get_by_step_number(step_number) + if item: + item.status = "completed" + if result: + item.result = result diff --git a/lib/crewai/src/crewai/utilities/reasoning_handler.py b/lib/crewai/src/crewai/utilities/reasoning_handler.py index cab2fc4f9..374d074ff 100644 --- a/lib/crewai/src/crewai/utilities/reasoning_handler.py +++ b/lib/crewai/src/crewai/utilities/reasoning_handler.py @@ -16,9 +16,16 @@ from crewai.events.types.reasoning_events import ( ) from crewai.llm import LLM from crewai.utilities.llm_utils import create_llm +from crewai.utilities.planning_types import PlanStep from crewai.utilities.string_utils import sanitize_tool_name +if TYPE_CHECKING: + from crewai.agent import Agent + from crewai.agent.planning_config import PlanningConfig + from crewai.task import Task + + if TYPE_CHECKING: from crewai.agent import Agent from crewai.agent.planning_config import PlanningConfig @@ -29,6 +36,9 @@ class ReasoningPlan(BaseModel): """Model representing a reasoning plan for a task.""" plan: str = Field(description="The detailed reasoning plan for the task.") + steps: list[PlanStep] = Field( + default_factory=list, description="Structured steps to execute" + ) ready: bool = Field(description="Whether the agent is ready to execute the task.") @@ -47,20 +57,53 @@ FUNCTION_SCHEMA: Final[dict[str, Any]] = { "type": "function", "function": { "name": "create_reasoning_plan", - "description": "Create or refine a reasoning plan for a task", + "description": "Create or refine a reasoning plan for a task with structured steps", "parameters": { "type": "object", "properties": { "plan": { "type": "string", - "description": "The detailed reasoning plan for the task.", + "description": "A brief summary of the overall plan.", + }, + "steps": { + "type": "array", + "description": "List of discrete steps to execute the plan", + "items": { + "type": "object", + "properties": { + "step_number": { + "type": "integer", + "description": "Step number (1-based)", + }, + "description": { + "type": "string", + "description": "What to do in this step", + }, + "tool_to_use": { + "type": ["string", "null"], + "description": "Tool to use for this step, or null if no tool needed", + }, + "depends_on": { + "type": "array", + "items": {"type": "integer"}, + "description": "Step numbers this step depends on (empty array if none)", + }, + }, + "required": [ + "step_number", + "description", + "tool_to_use", + "depends_on", + ], + "additionalProperties": False, + }, }, "ready": { "type": "boolean", "description": "Whether the agent is ready to execute the task.", }, }, - "required": ["plan", "ready"], + "required": ["plan", "steps", "ready"], "additionalProperties": False, }, }, @@ -214,44 +257,53 @@ class AgentReasoning: Returns: The output of the agent planning process. """ - plan, ready = self._create_initial_plan() - plan, ready = self._refine_plan_if_needed(plan, ready) + plan, steps, ready = self._create_initial_plan() + plan, steps, ready = self._refine_plan_if_needed(plan, steps, ready) - reasoning_plan = ReasoningPlan(plan=plan, ready=ready) + reasoning_plan = ReasoningPlan(plan=plan, steps=steps, ready=ready) return AgentReasoningOutput(plan=reasoning_plan) - def _create_initial_plan(self) -> tuple[str, bool]: + def _create_initial_plan(self) -> tuple[str, list[PlanStep], bool]: """Creates the initial plan for the task. Returns: - The initial plan and whether the agent is ready to execute the task. + A tuple of the plan summary, list of steps, and whether the agent is ready. """ planning_prompt = self._create_planning_prompt() + planning_prompt = self._create_planning_prompt() if self.llm.supports_function_calling(): - plan, ready = self._call_with_function(planning_prompt, "create_plan") - return plan, ready + plan, steps, ready = self._call_with_function( + planning_prompt, "create_plan" + ) + return plan, steps, ready response = self._call_llm_with_prompt( prompt=planning_prompt, plan_type="create_plan", ) - return self._parse_planning_response(str(response)) + plan, ready = self._parse_planning_response(str(response)) + return plan, [], ready # No structured steps from text parsing - def _refine_plan_if_needed(self, plan: str, ready: bool) -> tuple[str, bool]: + def _refine_plan_if_needed( + self, plan: str, steps: list[PlanStep], ready: bool + ) -> tuple[str, list[PlanStep], bool]: """Refines the plan if the agent is not ready to execute the task. Args: plan: The current plan. + steps: The current list of steps. ready: Whether the agent is ready to execute the task. Returns: - The refined plan and whether the agent is ready to execute the task. + The refined plan, steps, and whether the agent is ready to execute. """ + attempt = 1 max_attempts = self.config.max_attempts task_id = str(self.task.id) if self.task else "kickoff" + current_attempt = attempt + 1 while not ready and (max_attempts is None or attempt < max_attempts): # Emit event for each refinement attempt @@ -261,7 +313,7 @@ class AgentReasoning: AgentReasoningStartedEvent( agent_role=self.agent.role, task_id=task_id, - attempt=attempt + 1, + attempt=current_attempt, from_task=self.task, ), ) @@ -269,15 +321,36 @@ class AgentReasoning: pass refine_prompt = self._create_refine_prompt(plan) + refine_prompt = self._create_refine_prompt(plan) if self.llm.supports_function_calling(): - plan, ready = self._call_with_function(refine_prompt, "refine_plan") + plan, steps, ready = self._call_with_function( + refine_prompt, "refine_plan" + ) else: response = self._call_llm_with_prompt( prompt=refine_prompt, plan_type="refine_plan", ) plan, ready = self._parse_planning_response(str(response)) + steps = [] # No structured steps from text parsing + + # Emit completed event for this refinement attempt + try: + crewai_event_bus.emit( + self.agent, + AgentReasoningCompletedEvent( + agent_role=self.agent.role, + task_id=task_id, + plan=plan, + ready=ready, + attempt=current_attempt, + from_task=self.task, + from_agent=self.agent, + ), + ) + except Exception: # noqa: S110 + pass attempt += 1 @@ -288,11 +361,11 @@ class AgentReasoning: ) break - return plan, ready + return plan, steps, ready def _call_with_function( self, prompt: str, plan_type: Literal["create_plan", "refine_plan"] - ) -> tuple[str, bool]: + ) -> tuple[str, list[PlanStep], bool]: """Calls the LLM with function calling to get a plan. Args: @@ -300,7 +373,7 @@ class AgentReasoning: plan_type: The type of plan being created. Returns: - A tuple containing the plan and whether the agent is ready. + A tuple containing the plan summary, list of steps, and whether the agent is ready. """ self.logger.debug(f"Using function calling for {plan_type} planning") @@ -308,9 +381,13 @@ class AgentReasoning: system_prompt = self._get_system_prompt() # Prepare a simple callable that just returns the tool arguments as JSON - def _create_reasoning_plan(plan: str, ready: bool = True) -> str: + def _create_reasoning_plan( + plan: str, + steps: list[dict[str, Any]] | None = None, + ready: bool = True, + ) -> str: """Return the planning result in JSON string form.""" - return json.dumps({"plan": plan, "ready": ready}) + return json.dumps({"plan": plan, "steps": steps or [], "ready": ready}) response = self.llm.call( [ @@ -322,17 +399,33 @@ class AgentReasoning: from_task=self.task, from_agent=self.agent, ) - try: result = json.loads(response) if "plan" in result and "ready" in result: - return result["plan"], result["ready"] + # Parse steps from the response + steps: list[PlanStep] = [] + raw_steps = result.get("steps", []) + try: + for step_data in raw_steps: + step = PlanStep( + step_number=step_data.get("step_number", 0), + description=step_data.get("description", ""), + tool_to_use=step_data.get("tool_to_use"), + depends_on=step_data.get("depends_on", []), + ) + steps.append(step) + except Exception as step_error: + self.logger.warning( + f"Failed to parse step: {step_data}, error: {step_error}" + ) + return result["plan"], steps, result["ready"] except (json.JSONDecodeError, KeyError): pass response_str = str(response) return ( response_str, + [], "READY: I am ready to execute the task." in response_str, ) @@ -356,12 +449,14 @@ class AgentReasoning: fallback_str = str(fallback_response) return ( fallback_str, + [], "READY: I am ready to execute the task." in fallback_str, ) except Exception as inner_e: self.logger.error(f"Error during fallback text parsing: {inner_e!s}") return ( "Failed to generate a plan due to an error.", + [], True, ) # Default to ready to avoid getting stuck diff --git a/lib/crewai/tests/cassettes/utilities/TestAnthropicStructuredPlanning.test_anthropic_research_workflow_generates_steps.yaml b/lib/crewai/tests/cassettes/utilities/TestAnthropicStructuredPlanning.test_anthropic_research_workflow_generates_steps.yaml new file mode 100644 index 000000000..e9e089149 --- /dev/null +++ b/lib/crewai/tests/cassettes/utilities/TestAnthropicStructuredPlanning.test_anthropic_research_workflow_generates_steps.yaml @@ -0,0 +1,1621 @@ +interactions: +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"Create a focused + execution plan for the following task:\n\n## Task\nResearch the current state + of the AI agent market:\n1. Search for recent information about AI agents and + their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step.\n\n## Expected Output\nComplete the task successfully\n\n## Available + Tools\nweb_search, read_website, generate_report\n\n## Instructions\nCreate + ONLY the essential steps needed to complete this task. Use the MINIMUM number + of steps required - do NOT pad your plan with unnecessary steps. Most tasks + need only 2-5 steps.\n\nFor each step:\n- State the specific action to take\n- + Specify which tool to use (if any)\n- Note dependencies on previous steps if + this step requires their output\n- If a step involves multiple items (e.g., + research 3 competitors), note this explicitly\n\nDo NOT include:\n- Setup or + preparation steps that are obvious\n- Verification steps unless critical\n- + Documentation or cleanup steps unless explicitly required\n- Generic steps like + \"review results\" or \"finalize output\"\n\nAfter your plan, state:\n- \"READY: + I am ready to execute the task.\" if the plan is complete\n- \"NOT READY: I + need to refine my plan because [reason].\" if you need more thinking"}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are a strategic planning assistant. Create minimal, effective execution plans. + Prefer fewer steps over more.","tools":[{"name":"create_reasoning_plan","description":"Create + or refine a reasoning plan for a task with structured steps","input_schema":{"type":"object","properties":{"plan":{"type":"string","description":"A + brief summary of the overall plan."},"steps":{"type":"array","description":"List + of discrete steps to execute the plan","items":{"type":"object","properties":{"step_number":{"type":"integer","description":"Step + number (1-based)"},"description":{"type":"string","description":"What to do + in this step"},"tool_to_use":{"type":["string","null"],"description":"Tool to + use for this step, or null if no tool needed"},"depends_on":{"type":"array","items":{"type":"integer"},"description":"Step + numbers this step depends on (empty array if none)"}},"required":["step_number","description","tool_to_use","depends_on"],"additionalProperties":false}},"ready":{"type":"boolean","description":"Whether + the agent is ready to execute the task."}},"required":["plan","steps","ready"],"additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '2623' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_016Qg3VgHjbPnXw7yU3bCzS3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FNX3spUotR7NWBkbeJG6zU","name":"create_reasoning_plan","input":{"plan":"Execute + a 3-step research process: search for current AI agent market information, + read detailed content from a key industry source, and generate a comprehensive + report summarizing the findings.","steps":[{"step_number":1,"description":"Search + for recent information about AI agents market trends, including market size, + growth, key players, and current developments","tool_to_use":"web_search","depends_on":[]},{"step_number":2,"description":"Read + detailed content from the most relevant and authoritative industry source + found in the search results","tool_to_use":"read_website","depends_on":[1]},{"step_number":3,"description":"Generate + a brief report summarizing key findings about the current state of the AI + agent market, including trends, market dynamics, and significant insights","tool_to_use":"generate_report","depends_on":[1,2]}],"ready":true}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":933,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":333,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:35 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '5423' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"Create a focused + execution plan for the following task:\n\n## Task\nResearch the current state + of the AI agent market:\n1. Search for recent information about AI agents and + their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step.\n\n## Expected Output\nComplete the task successfully\n\n## Available + Tools\nweb_search, read_website, generate_report\n\n## Instructions\nCreate + ONLY the essential steps needed to complete this task. Use the MINIMUM number + of steps required - do NOT pad your plan with unnecessary steps. Most tasks + need only 2-5 steps.\n\nFor each step:\n- State the specific action to take\n- + Specify which tool to use (if any)\n- Note dependencies on previous steps if + this step requires their output\n- If a step involves multiple items (e.g., + research 3 competitors), note this explicitly\n\nDo NOT include:\n- Setup or + preparation steps that are obvious\n- Verification steps unless critical\n- + Documentation or cleanup steps unless explicitly required\n- Generic steps like + \"review results\" or \"finalize output\"\n\nAfter your plan, state:\n- \"READY: + I am ready to execute the task.\" if the plan is complete\n- \"NOT READY: I + need to refine my plan because [reason].\" if you need more thinking"},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01FNX3spUotR7NWBkbeJG6zU","name":"create_reasoning_plan","input":{"plan":"Execute + a 3-step research process: search for current AI agent market information, read + detailed content from a key industry source, and generate a comprehensive report + summarizing the findings.","steps":[{"step_number":1,"description":"Search for + recent information about AI agents market trends, including market size, growth, + key players, and current developments","tool_to_use":"web_search","depends_on":[]},{"step_number":2,"description":"Read + detailed content from the most relevant and authoritative industry source found + in the search results","tool_to_use":"read_website","depends_on":[1]},{"step_number":3,"description":"Generate + a brief report summarizing key findings about the current state of the AI agent + market, including trends, market dynamics, and significant insights","tool_to_use":"generate_report","depends_on":[1,2]}],"ready":true}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01FNX3spUotR7NWBkbeJG6zU","content":"{\"plan\": + \"Execute a 3-step research process: search for current AI agent market information, + read detailed content from a key industry source, and generate a comprehensive + report summarizing the findings.\", \"steps\": [{\"step_number\": 1, \"description\": + \"Search for recent information about AI agents market trends, including market + size, growth, key players, and current developments\", \"tool_to_use\": \"web_search\", + \"depends_on\": []}, {\"step_number\": 2, \"description\": \"Read detailed content + from the most relevant and authoritative industry source found in the search + results\", \"tool_to_use\": \"read_website\", \"depends_on\": [1]}, {\"step_number\": + 3, \"description\": \"Generate a brief report summarizing key findings about + the current state of the AI agent market, including trends, market dynamics, + and significant insights\", \"tool_to_use\": \"generate_report\", \"depends_on\": + [1, 2]}], \"ready\": true}"}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are a strategic planning assistant. Create minimal, effective execution plans. + Prefer fewer steps over more.","tools":[{"name":"create_reasoning_plan","description":"Create + or refine a reasoning plan for a task with structured steps","input_schema":{"type":"object","properties":{"plan":{"type":"string","description":"A + brief summary of the overall plan."},"steps":{"type":"array","description":"List + of discrete steps to execute the plan","items":{"type":"object","properties":{"step_number":{"type":"integer","description":"Step + number (1-based)"},"description":{"type":"string","description":"What to do + in this step"},"tool_to_use":{"type":["string","null"],"description":"Tool to + use for this step, or null if no tool needed"},"depends_on":{"type":"array","items":{"type":"integer"},"description":"Step + numbers this step depends on (empty array if none)"}},"required":["step_number","description","tool_to_use","depends_on"],"additionalProperties":false}},"ready":{"type":"boolean","description":"Whether + the agent is ready to execute the task."}},"required":["plan","steps","ready"],"additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '4666' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: "{\"model\":\"claude-sonnet-4-20250514\",\"id\":\"msg_01SmXmUZtMpfmWiiy3xaFH73\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"READY: + I am ready to execute the task.\\n\\nThe plan consists of exactly 3 essential + steps that directly map to the task requirements:\\n\\n1. **Web Search** - + Find current AI agent market information and trends\\n2. **Read Website** + - Deep dive into the most relevant industry source from search results \\n3. + **Generate Report** - Create a brief summary report of key findings\\n\\nEach + step uses the specified tools (web_search \u2192 read_website \u2192 generate_report) + and builds logically on the previous step's output. This is the minimum viable + plan to complete the research task effectively.\"}],\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"usage\":{\"input_tokens\":1455,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":129,\"service_tier\":\"standard\"}}" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:39 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '3504' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '1767' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_017n2pRrBb8x11ejJioQdSrk","type":"message","role":"assistant","content":[{"type":"text","text":"I''ll + help you research the current state of the AI agent market. Let me start by + searching for recent information about AI agents and market trends."},{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":753,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":92,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:41 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '1788' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '2229' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01YVwCuUq7amJSNfqx3UFjtW","type":"message","role":"assistant","content":[{"type":"text","text":"Let + me search for more specific information about the AI agent market:"},{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":863,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":78,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:43 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '1874' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '2723' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01GY7iw51CKwGevvmDnHjiSX","type":"message","role":"assistant","content":[{"type":"text","text":"Now + let me search for more specific recent information about AI agents and their + applications:"},{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":976,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":82,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:45 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '2191' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '3221' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01H6AoWyG2M28SM6F249wrnc","type":"message","role":"assistant","content":[{"type":"text","text":"Now + let me search for a specific industry source to get detailed content:"},{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1089,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":85,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:48 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '2356' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '3699' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01GjNzYdtG7YLwQiLKjKsnBv","type":"message","role":"assistant","content":[{"type":"text","text":"Let + me search for more specific and recent information about the AI agent market + to get actual URLs I can read from:"},{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1214,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":104,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:50 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '2220' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","content":"Search + results for ''site:gartner.com OR site:mckinsey.com OR site:forrester.com AI + agents market 2024'': Found 3 relevant articles about the topic including market + analysis, competitor data, and industry trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '4233' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01KxuhEyXmBJmFJRXYhjrrX2","type":"message","role":"assistant","content":[{"type":"text","text":"Let + me try a more general search to find specific industry sources with detailed + content:"},{"type":"tool_use","id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","name":"web_search","input":{"query":"AI + agent market research report industry analysis URL"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1359,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":77,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:52 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '2383' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","content":"Search + results for ''site:gartner.com OR site:mckinsey.com OR site:forrester.com AI + agents market 2024'': Found 3 relevant articles about the topic including market + analysis, competitor data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","name":"web_search","input":{"query":"AI + agent market research report industry analysis URL"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","content":"Search + results for ''AI agent market research report industry analysis URL'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '4711' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01BDYJZns1pmXqHaJvmH6CoM","type":"message","role":"assistant","content":[{"type":"text","text":"Based + on the search results, I can see there are relevant articles about AI agent + market trends, but I need to read detailed content from a specific industry + source. Let me try to access a comprehensive market report by searching for + a specific URL."},{"type":"tool_use","id":"toolu_01QRY1ogb95zfGesVjxC2JDR","name":"read_website","input":{"url":"https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1464,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":156,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:56 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '3505' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","content":"Search + results for ''site:gartner.com OR site:mckinsey.com OR site:forrester.com AI + agents market 2024'': Found 3 relevant articles about the topic including market + analysis, competitor data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","name":"web_search","input":{"query":"AI + agent market research report industry analysis URL"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","content":"Search + results for ''AI agent market research report industry analysis URL'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01QRY1ogb95zfGesVjxC2JDR","name":"read_website","input":{"url":"https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01QRY1ogb95zfGesVjxC2JDR","content":"Content + from https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '5388' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01NKpr5WzqykTDeFcETpE3Bx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GsC9SQeiwRhRS2W5dgc1BB","name":"read_website","input":{"url":"https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1671,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":94,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:58 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '1838' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","content":"Search + results for ''site:gartner.com OR site:mckinsey.com OR site:forrester.com AI + agents market 2024'': Found 3 relevant articles about the topic including market + analysis, competitor data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","name":"web_search","input":{"query":"AI + agent market research report industry analysis URL"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","content":"Search + results for ''AI agent market research report industry analysis URL'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01QRY1ogb95zfGesVjxC2JDR","name":"read_website","input":{"url":"https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01QRY1ogb95zfGesVjxC2JDR","content":"Content + from https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01GsC9SQeiwRhRS2W5dgc1BB","name":"read_website","input":{"url":"https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01GsC9SQeiwRhRS2W5dgc1BB","content":"Content + from https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '6061' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01JhdevC7FFtcDY3194v65WK","type":"message","role":"assistant","content":[{"type":"text","text":"Based + on my research, let me now generate a comprehensive report summarizing the + key findings about the current state of the AI agent market:"},{"type":"tool_use","id":"toolu_01K2UjYMDgyRwP15rmRMhCbE","name":"generate_report","input":{"title":"AI + Agent Market Analysis 2024: Current State and Trends","findings":"**Market + Size and Growth:**\nThe AI agent market has reached approximately $50 billion + in 2024, demonstrating robust expansion with a year-over-year growth rate + of 15%. According to Gartner''s latest forecasts, worldwide spending on AI + software is expected to grow 22% in 2024, indicating strong momentum in the + sector.\n\n**Key Market Drivers:**\n1. Enterprise adoption of autonomous intelligent + systems is accelerating\n2. Growing demand for process automation and efficiency + gains\n3. Advances in large language models enabling more sophisticated agent + capabilities\n4. Increased investment in AI infrastructure by major corporations\n\n**Industry + Landscape:**\nThe market features both established technology giants and emerging + specialized players. Major contributors include cloud providers, enterprise + software companies, and AI-first startups developing agent frameworks and + platforms.\n\n**Enterprise Adoption Patterns:**\nOrganizations are increasingly + deploying AI agents for:\n- Customer service automation\n- Internal process + optimization\n- Data analysis and decision support\n- Content generation and + management\n\n**Future Outlook:**\nThe economic potential of generative AI + and autonomous agents suggests continued strong growth trajectory. McKinsey''s + analysis indicates significant productivity gains are driving widespread adoption + across industries.\n\n**Challenges and Considerations:**\n- Integration complexity + with existing systems\n- Data privacy and security concerns\n- Need for specialized + talent and training\n- Regulatory compliance requirements\n\nThe AI agent + market represents a transformational shift toward autonomous business processes, + with substantial growth potential as organizations seek competitive advantages + through intelligent automation."}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1852,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":424,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 19:00:07 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '8549' + status: + code: 200 + message: OK +- request: + body: '{"max_tokens":4096,"messages":[{"role":"user","content":"\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","name":"web_search","input":{"query":"AI + agent market trends 2024 industry analysis"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_014To8zMjudmbenNj6ZxZ5Eb","content":"Search + results for ''AI agent market trends 2024 industry analysis'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01LPFvMaBVKRamhKoovTXXpY","name":"web_search","input":{"query":"AI + agent market size growth forecast 2024 enterprise adoption"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01LPFvMaBVKRamhKoovTXXpY","content":"Search + results for ''AI agent market size growth forecast 2024 enterprise adoption'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","name":"web_search","input":{"query":"\"AI + agents\" market report 2024 autonomous intelligent systems"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DmDXQS9Bd4R59N4mr2D56o","content":"Search + results for ''\"AI agents\" market report 2024 autonomous intelligent systems'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","name":"web_search","input":{"query":"Gartner + McKinsey Deloitte AI agent market report 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C9UiLvHqYhWXTDaDFLJoNN","content":"Search + results for ''Gartner McKinsey Deloitte AI agent market report 2024'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","name":"web_search","input":{"query":"site:gartner.com + OR site:mckinsey.com OR site:forrester.com AI agents market 2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PX1GBKhWXVTPNd69DVvwAG","content":"Search + results for ''site:gartner.com OR site:mckinsey.com OR site:forrester.com AI + agents market 2024'': Found 3 relevant articles about the topic including market + analysis, competitor data, and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","name":"web_search","input":{"query":"AI + agent market research report industry analysis URL"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_015dw1Swb4oRfN1gL1K9bkTm","content":"Search + results for ''AI agent market research report industry analysis URL'': Found + 3 relevant articles about the topic including market analysis, competitor data, + and industry trends."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01QRY1ogb95zfGesVjxC2JDR","name":"read_website","input":{"url":"https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01QRY1ogb95zfGesVjxC2JDR","content":"Content + from https://www.gartner.com/en/newsroom/press-releases/2024-03-18-gartner-forecasts-worldwide-spending-on-ai-software-to-grow-22-percent-in-2024: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01GsC9SQeiwRhRS2W5dgc1BB","name":"read_website","input":{"url":"https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01GsC9SQeiwRhRS2W5dgc1BB","content":"Content + from https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}]},{"role":"assistant","content":[{"type":"tool_use","id":"toolu_01K2UjYMDgyRwP15rmRMhCbE","name":"generate_report","input":{"title":"AI + Agent Market Analysis 2024: Current State and Trends","findings":"**Market Size + and Growth:**\nThe AI agent market has reached approximately $50 billion in + 2024, demonstrating robust expansion with a year-over-year growth rate of 15%. + According to Gartner''s latest forecasts, worldwide spending on AI software + is expected to grow 22% in 2024, indicating strong momentum in the sector.\n\n**Key + Market Drivers:**\n1. Enterprise adoption of autonomous intelligent systems + is accelerating\n2. Growing demand for process automation and efficiency gains\n3. + Advances in large language models enabling more sophisticated agent capabilities\n4. + Increased investment in AI infrastructure by major corporations\n\n**Industry + Landscape:**\nThe market features both established technology giants and emerging + specialized players. Major contributors include cloud providers, enterprise + software companies, and AI-first startups developing agent frameworks and platforms.\n\n**Enterprise + Adoption Patterns:**\nOrganizations are increasingly deploying AI agents for:\n- + Customer service automation\n- Internal process optimization\n- Data analysis + and decision support\n- Content generation and management\n\n**Future Outlook:**\nThe + economic potential of generative AI and autonomous agents suggests continued + strong growth trajectory. McKinsey''s analysis indicates significant productivity + gains are driving widespread adoption across industries.\n\n**Challenges and + Considerations:**\n- Integration complexity with existing systems\n- Data privacy + and security concerns\n- Need for specialized talent and training\n- Regulatory + compliance requirements\n\nThe AI agent market represents a transformational + shift toward autonomous business processes, with substantial growth potential + as organizations seek competitive advantages through intelligent automation."}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01K2UjYMDgyRwP15rmRMhCbE","content":"# + AI Agent Market Analysis 2024: Current State and Trends\n\n## Executive Summary\n**Market + Size and Growth:**\nThe AI agent market has reached approximately $50 billion + in 2024, demonstrating robust expansion with a year-over-year growth rate of + 15%. According to Gartner''s latest forecasts, worldwide spending on AI software + is expected to grow 22% in 2024, indicating strong momentum in the sector.\n\n**Key + Market Drivers:**\n1. Enterprise adoption of autonomous intelligent systems + is accelerating\n2. Growing demand for process automation and efficiency gains\n3. + Advances in large language models enabling more sophisticated agent capabilities\n4. + Increased investment in AI infrastructure by major corporations\n\n**Industry + Landscape:**\nThe market features both established technology giants and emerging + specialized players. Major contributors include cloud providers, enterprise + software companies, and AI-first startups developing agent frameworks and platforms.\n\n**Enterprise + Adoption Patterns:**\nOrganizations are increasingly deploying AI agents for:\n- + Customer service automation\n- Internal process optimization\n- Data analysis + and decision support\n- Content generation and management\n\n**Future Outlook:**\nThe + economic potential of generative AI and autonomous agents suggests continued + strong growth trajectory. McKinsey''s analysis indicates significant productivity + gains are driving widespread adoption across industries.\n\n**Challenges and + Considerations:**\n- Integration complexity with existing systems\n- Data privacy + and security concerns\n- Need for specialized talent and training\n- Regulatory + compliance requirements\n\nThe AI agent market represents a transformational + shift toward autonomous business processes, with substantial growth potential + as organizations seek competitive advantages through intelligent automation.\n\n## + Conclusion\nBased on the analysis, the market shows strong growth potential."}]}],"model":"claude-sonnet-4-20250514","stop_sequences":["\nObservation:"],"stream":false,"system":"You + are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports","tools":[{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","input_schema":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}},{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","input_schema":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}},{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","input_schema":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + anthropic-version: + - '2023-06-01' + connection: + - keep-alive + content-length: + - '10108' + content-type: + - application/json + host: + - api.anthropic.com + x-api-key: + - X-API-KEY-XXX + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 0.73.0 + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + x-stainless-timeout: + - NOT_GIVEN + method: POST + uri: https://api.anthropic.com/v1/messages + response: + body: + string: '{"model":"claude-sonnet-4-20250514","id":"msg_01PnisDjuxagjCAybvcz8wpY","type":"message","role":"assistant","content":[{"type":"text","text":"I''ve + completed a comprehensive research analysis of the AI agent market as requested. + Here''s what I accomplished:\n\n## Research Process:\n\n**Step 1: Search Research** + - I conducted multiple targeted searches to gather current information about + AI agents, market trends, growth forecasts, and enterprise adoption patterns.\n\n**Step + 2: Industry Source Analysis** - I accessed detailed content from authoritative + sources including Gartner and McKinsey reports on AI market forecasts and + the economic potential of generative AI.\n\n**Step 3: Report Generation** + - I synthesized the findings into a structured report covering market size, + growth trends, key drivers, adoption patterns, and future outlook.\n\n## Key + Findings Summary:\n\n- **Market Size**: The AI agent market has reached approximately + $50 billion in 2024\n- **Growth Rate**: 15% year-over-year growth with AI + software spending projected to grow 22% in 2024\n- **Primary Drivers**: Enterprise + automation needs, LLM advances, and productivity gains\n- **Adoption Areas**: + Customer service, process optimization, data analysis, and content management\n- + **Outlook**: Strong continued growth expected due to competitive advantages + from intelligent automation\n\nThe research indicates that AI agents represent + a significant and rapidly expanding market segment, driven by enterprise demand + for autonomous intelligent systems that can deliver measurable productivity + improvements."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":2610,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":287,"service_tier":"standard"}}' + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Security-Policy: + - CSP-FILTERED + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 19:00:13 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + X-Robots-Tag: + - none + anthropic-organization-id: + - ANTHROPIC-ORGANIZATION-ID-XXX + anthropic-ratelimit-input-tokens-limit: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-input-tokens-remaining: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-input-tokens-reset: + - ANTHROPIC-RATELIMIT-INPUT-TOKENS-RESET-XXX + anthropic-ratelimit-output-tokens-limit: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-LIMIT-XXX + anthropic-ratelimit-output-tokens-remaining: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-REMAINING-XXX + anthropic-ratelimit-output-tokens-reset: + - ANTHROPIC-RATELIMIT-OUTPUT-TOKENS-RESET-XXX + anthropic-ratelimit-tokens-limit: + - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX + anthropic-ratelimit-tokens-remaining: + - ANTHROPIC-RATELIMIT-TOKENS-REMAINING-XXX + anthropic-ratelimit-tokens-reset: + - ANTHROPIC-RATELIMIT-TOKENS-RESET-XXX + cf-cache-status: + - DYNAMIC + request-id: + - REQUEST-ID-XXX + strict-transport-security: + - STS-XXX + x-envoy-upstream-service-time: + - '6513' + status: + code: 200 + message: OK +version: 1 diff --git a/lib/crewai/tests/cassettes/utilities/TestAzureStructuredPlanning.test_azure_research_workflow_generates_steps.yaml b/lib/crewai/tests/cassettes/utilities/TestAzureStructuredPlanning.test_azure_research_workflow_generates_steps.yaml new file mode 100644 index 000000000..43c383b65 --- /dev/null +++ b/lib/crewai/tests/cassettes/utilities/TestAzureStructuredPlanning.test_azure_research_workflow_generates_steps.yaml @@ -0,0 +1,548 @@ +interactions: +- request: + body: '{"messages": [{"role": "system", "content": "You are a strategic planning + assistant. Create minimal, effective execution plans. Prefer fewer steps over + more."}, {"role": "user", "content": "Create a focused execution plan for the + following task:\n\n## Task\nResearch the current state of the AI agent market:\n1. + Search for recent information about AI agents and their market trends\n2. Read + detailed content from a relevant industry source\n3. Generate a brief report + summarizing the key findings\n\nUse the available tools for each step.\n\n## + Expected Output\nComplete the task successfully\n\n## Available Tools\nweb_search, + read_website, generate_report\n\n## Instructions\nCreate ONLY the essential + steps needed to complete this task. Use the MINIMUM number of steps required + - do NOT pad your plan with unnecessary steps. Most tasks need only 2-5 steps.\n\nFor + each step:\n- State the specific action to take\n- Specify which tool to use + (if any)\n- Note dependencies on previous steps if this step requires their + output\n- If a step involves multiple items (e.g., research 3 competitors), + note this explicitly\n\nDo NOT include:\n- Setup or preparation steps that are + obvious\n- Verification steps unless critical\n- Documentation or cleanup steps + unless explicitly required\n- Generic steps like \"review results\" or \"finalize + output\"\n\nAfter your plan, state:\n- \"READY: I am ready to execute the task.\" + if the plan is complete\n- \"NOT READY: I need to refine my plan because [reason].\" + if you need more thinking"}], "stream": false, "stop": ["\nObservation:"], "tool_choice": + "auto", "tools": [{"function": {"name": "create_reasoning_plan", "description": + "Create or refine a reasoning plan for a task with structured steps", "parameters": + {"type": "object", "properties": {"plan": {"type": "string", "description": + "A brief summary of the overall plan."}, "steps": {"type": "array", "description": + "List of discrete steps to execute the plan", "items": {"type": "object", "properties": + {"step_number": {"type": "integer", "description": "Step number (1-based)"}, + "description": {"type": "string", "description": "What to do in this step"}, + "tool_to_use": {"type": ["string", "null"], "description": "Tool to use for + this step, or null if no tool needed"}, "depends_on": {"type": "array", "items": + {"type": "integer"}, "description": "Step numbers this step depends on (empty + array if none)"}}, "required": ["step_number", "description", "tool_to_use", + "depends_on"], "additionalProperties": false}}, "ready": {"type": "boolean", + "description": "Whether the agent is ready to execute the task."}}, "required": + ["plan", "steps", "ready"], "additionalProperties": false}}, "type": "function"}]}' + headers: + Accept: + - application/json + Connection: + - keep-alive + Content-Length: + - '2711' + Content-Type: + - application/json + User-Agent: + - X-USER-AGENT-XXX + accept-encoding: + - ACCEPT-ENCODING-XXX + api-key: + - X-API-KEY-XXX + authorization: + - AUTHORIZATION-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + method: POST + uri: https://fake-azure-endpoint.openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2024-12-01-preview + response: + body: + string: '{"choices":[{"content_filter_results":{},"finish_reason":"tool_calls","index":0,"logprobs":null,"message":{"annotations":[],"content":null,"refusal":null,"role":"assistant","tool_calls":[{"function":{"arguments":"{\"plan\":\"Research + the current state of the AI agent market and summarize the key findings.\",\"steps\":[{\"step_number\":1,\"description\":\"Search + for recent information about AI agents and their market trends using web_search.\",\"tool_to_use\":\"web_search\",\"depends_on\":[]},{\"step_number\":2,\"description\":\"Read + detailed content from a relevant industry source using read_website, gathering + insights on trends and competitive analysis.\",\"tool_to_use\":\"read_website\",\"depends_on\":[1]},{\"step_number\":3,\"description\":\"Using + the knowledge from steps 1 and 2, generate a brief report summarizing the + AI agent market findings.\",\"tool_to_use\":\"generate_report\",\"depends_on\":[1,2]}],\"ready\":true}","name":"create_reasoning_plan"},"id":"call_TPmou69xLfxPqApRnPwI6zYV","type":"function"}]}}],"created":1770145131,"id":"chatcmpl-D5Ftr1QP6lTPXIemws2EtuKaWeSxt","model":"gpt-4o-2024-11-20","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"jailbreak":{"detected":false,"filtered":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":"fp_b54fe76834","usage":{"completion_tokens":157,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens":480,"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0},"total_tokens":637}} + + ' + headers: + Content-Length: + - '1762' + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:58:54 GMT + Strict-Transport-Security: + - STS-XXX + apim-request-id: + - APIM-REQUEST-ID-XXX + azureml-model-session: + - AZUREML-MODEL-SESSION-XXX + x-accel-buffering: + - 'no' + x-content-type-options: + - X-CONTENT-TYPE-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + x-ms-deployment-name: + - gpt-4o + x-ms-rai-invoked: + - 'true' + x-ms-region: + - X-MS-REGION-XXX + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages": [{"role": "system", "content": "You are Research Analyst. + An experienced analyst skilled at gathering information and synthesizing findings + into actionable insights.\nYour personal goal is: Conduct thorough research + and produce insightful reports"}, {"role": "user", "content": "\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."}], "stream": false, "stop": ["\nObservation:"], + "tool_choice": "auto", "tools": [{"function": {"name": "web_search", "description": + "Search the web for information on a given topic.\n\nArgs:\n query: The search + query to look up.\n\nReturns:\n Search results as a string.", "parameters": + {"properties": {"query": {"title": "Query", "type": "string"}}, "required": + ["query"], "type": "object", "additionalProperties": false}}, "type": "function"}, + {"function": {"name": "read_website", "description": "Read and extract content + from a website URL.\n\nArgs:\n url: The URL of the website to read.\n\nReturns:\n The + extracted content from the website.", "parameters": {"properties": {"url": {"title": + "Url", "type": "string"}}, "required": ["url"], "type": "object", "additionalProperties": + false}}, "type": "function"}, {"function": {"name": "generate_report", "description": + "Generate a structured report based on research findings.\n\nArgs:\n title: + The title of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.", "parameters": {"properties": {"title": {"title": + "Title", "type": "string"}, "findings": {"title": "Findings", "type": "string"}}, + "required": ["title", "findings"], "type": "object", "additionalProperties": + false}}, "type": "function"}]}' + headers: + Accept: + - application/json + Connection: + - keep-alive + Content-Length: + - '1912' + Content-Type: + - application/json + User-Agent: + - X-USER-AGENT-XXX + accept-encoding: + - ACCEPT-ENCODING-XXX + api-key: + - X-API-KEY-XXX + authorization: + - AUTHORIZATION-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + method: POST + uri: https://fake-azure-endpoint.openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2024-12-01-preview + response: + body: + string: '{"choices":[{"content_filter_results":{},"finish_reason":"tool_calls","index":0,"logprobs":null,"message":{"annotations":[],"content":null,"refusal":null,"role":"assistant","tool_calls":[{"function":{"arguments":"{\"query\":\"current + state of AI agent market 2023\"}","name":"web_search"},"id":"call_6RDgkQSr8S7luEHqqOaI734w","type":"function"}]}}],"created":1770145136,"id":"chatcmpl-D5FtwVvV3KE10L2JIOd7n8Ph1Iu3Q","model":"gpt-4o-2024-11-20","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"jailbreak":{"detected":false,"filtered":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":"fp_b54fe76834","usage":{"completion_tokens":23,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens":267,"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0},"total_tokens":290}} + + ' + headers: + Content-Length: + - '1079' + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:58:55 GMT + Strict-Transport-Security: + - STS-XXX + apim-request-id: + - APIM-REQUEST-ID-XXX + azureml-model-session: + - AZUREML-MODEL-SESSION-XXX + x-accel-buffering: + - 'no' + x-content-type-options: + - X-CONTENT-TYPE-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + x-ms-deployment-name: + - gpt-4o + x-ms-rai-invoked: + - 'true' + x-ms-region: + - X-MS-REGION-XXX + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages": [{"role": "system", "content": "You are Research Analyst. + An experienced analyst skilled at gathering information and synthesizing findings + into actionable insights.\nYour personal goal is: Conduct thorough research + and produce insightful reports"}, {"role": "user", "content": "\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."}, {"role": "assistant", "content": "", "tool_calls": + [{"id": "call_6RDgkQSr8S7luEHqqOaI734w", "type": "function", "function": {"name": + "web_search", "arguments": "{\"query\":\"current state of AI agent market 2023\"}"}}]}, + {"role": "tool", "tool_call_id": "call_6RDgkQSr8S7luEHqqOaI734w", "content": + "Search results for ''current state of AI agent market 2023'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}], "stream": false, "stop": ["\nObservation:"], "tool_choice": "auto", + "tools": [{"function": {"name": "web_search", "description": "Search the web + for information on a given topic.\n\nArgs:\n query: The search query to look + up.\n\nReturns:\n Search results as a string.", "parameters": {"properties": + {"query": {"title": "Query", "type": "string"}}, "required": ["query"], "type": + "object", "additionalProperties": false}}, "type": "function"}, {"function": + {"name": "read_website", "description": "Read and extract content from a website + URL.\n\nArgs:\n url: The URL of the website to read.\n\nReturns:\n The + extracted content from the website.", "parameters": {"properties": {"url": {"title": + "Url", "type": "string"}}, "required": ["url"], "type": "object", "additionalProperties": + false}}, "type": "function"}, {"function": {"name": "generate_report", "description": + "Generate a structured report based on research findings.\n\nArgs:\n title: + The title of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.", "parameters": {"properties": {"title": {"title": + "Title", "type": "string"}, "findings": {"title": "Findings", "type": "string"}}, + "required": ["title", "findings"], "type": "object", "additionalProperties": + false}}, "type": "function"}]}' + headers: + Accept: + - application/json + Connection: + - keep-alive + Content-Length: + - '2381' + Content-Type: + - application/json + User-Agent: + - X-USER-AGENT-XXX + accept-encoding: + - ACCEPT-ENCODING-XXX + api-key: + - X-API-KEY-XXX + authorization: + - AUTHORIZATION-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + method: POST + uri: https://fake-azure-endpoint.openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2024-12-01-preview + response: + body: + string: '{"choices":[{"content_filter_results":{},"finish_reason":"tool_calls","index":0,"logprobs":null,"message":{"annotations":[],"content":null,"refusal":null,"role":"assistant","tool_calls":[{"function":{"arguments":"{\"url\": + \"https://example.com/article1\"}","name":"read_website"},"id":"call_ie6tNHSbW9TWIqoXD9CN3MNZ","type":"function"},{"function":{"arguments":"{\"url\": + \"https://example.com/article2\"}","name":"read_website"},"id":"call_qxn4V4mMMpOnYSAwVuwarFkB","type":"function"},{"function":{"arguments":"{\"url\": + \"https://example.com/article3\"}","name":"read_website"},"id":"call_7ElzUIHHJvuciFWj6eIF5RhF","type":"function"}]}}],"created":1770145137,"id":"chatcmpl-D5Ftxnr2VyEYZd6zSpTJavdxSoE18","model":"gpt-4o-2024-11-20","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"jailbreak":{"detected":false,"filtered":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":"fp_b54fe76834","usage":{"completion_tokens":77,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens":330,"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0},"total_tokens":407}} + + ' + headers: + Content-Length: + - '1371' + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:58:57 GMT + Strict-Transport-Security: + - STS-XXX + apim-request-id: + - APIM-REQUEST-ID-XXX + azureml-model-session: + - AZUREML-MODEL-SESSION-XXX + x-accel-buffering: + - 'no' + x-content-type-options: + - X-CONTENT-TYPE-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + x-ms-deployment-name: + - gpt-4o + x-ms-rai-invoked: + - 'true' + x-ms-region: + - X-MS-REGION-XXX + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages": [{"role": "system", "content": "You are Research Analyst. + An experienced analyst skilled at gathering information and synthesizing findings + into actionable insights.\nYour personal goal is: Conduct thorough research + and produce insightful reports"}, {"role": "user", "content": "\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."}, {"role": "assistant", "content": "", "tool_calls": + [{"id": "call_6RDgkQSr8S7luEHqqOaI734w", "type": "function", "function": {"name": + "web_search", "arguments": "{\"query\":\"current state of AI agent market 2023\"}"}}]}, + {"role": "tool", "tool_call_id": "call_6RDgkQSr8S7luEHqqOaI734w", "content": + "Search results for ''current state of AI agent market 2023'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}, {"role": "assistant", "content": "", "tool_calls": [{"id": "call_ie6tNHSbW9TWIqoXD9CN3MNZ", + "type": "function", "function": {"name": "read_website", "arguments": "{\"url\": + \"https://example.com/article1\"}"}}, {"id": "call_qxn4V4mMMpOnYSAwVuwarFkB", + "type": "function", "function": {"name": "read_website", "arguments": "{\"url\": + \"https://example.com/article2\"}"}}, {"id": "call_7ElzUIHHJvuciFWj6eIF5RhF", + "type": "function", "function": {"name": "read_website", "arguments": "{\"url\": + \"https://example.com/article3\"}"}}]}, {"role": "tool", "tool_call_id": "call_ie6tNHSbW9TWIqoXD9CN3MNZ", + "content": "Content from https://example.com/article1: This article discusses + key insights about the topic including market size ($50B), growth rate (15% + YoY), and major players in the industry."}, {"role": "tool", "tool_call_id": + "call_qxn4V4mMMpOnYSAwVuwarFkB", "content": "Content from https://example.com/article2: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}, {"role": "tool", + "tool_call_id": "call_7ElzUIHHJvuciFWj6eIF5RhF", "content": "Content from https://example.com/article3: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}], "stream": false, + "stop": ["\nObservation:"], "tool_choice": "auto", "tools": [{"function": {"name": + "web_search", "description": "Search the web for information on a given topic.\n\nArgs:\n query: + The search query to look up.\n\nReturns:\n Search results as a string.", + "parameters": {"properties": {"query": {"title": "Query", "type": "string"}}, + "required": ["query"], "type": "object", "additionalProperties": false}}, "type": + "function"}, {"function": {"name": "read_website", "description": "Read and + extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.", "parameters": + {"properties": {"url": {"title": "Url", "type": "string"}}, "required": ["url"], + "type": "object", "additionalProperties": false}}, "type": "function"}, {"function": + {"name": "generate_report", "description": "Generate a structured report based + on research findings.\n\nArgs:\n title: The title of the report.\n findings: + The research findings to include.\n\nReturns:\n A formatted report string.", + "parameters": {"properties": {"title": {"title": "Title", "type": "string"}, + "findings": {"title": "Findings", "type": "string"}}, "required": ["title", + "findings"], "type": "object", "additionalProperties": false}}, "type": "function"}]}' + headers: + Accept: + - application/json + Connection: + - keep-alive + Content-Length: + - '3704' + Content-Type: + - application/json + User-Agent: + - X-USER-AGENT-XXX + accept-encoding: + - ACCEPT-ENCODING-XXX + api-key: + - X-API-KEY-XXX + authorization: + - AUTHORIZATION-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + method: POST + uri: https://fake-azure-endpoint.openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2024-12-01-preview + response: + body: + string: '{"choices":[{"content_filter_results":{},"finish_reason":"tool_calls","index":0,"logprobs":null,"message":{"annotations":[],"content":null,"refusal":null,"role":"assistant","tool_calls":[{"function":{"arguments":"{\"title\":\"Current + State of the AI Agent Market\",\"findings\":\"The AI agent market in 2023 + is valued at $50 billion, with a growth rate of 15% YoY. Major players in + the market have been identified as contributing to the expansion of industry + capabilities. Trends point to increasing adoption across industries such as + healthcare and finance, where automation and intelligence are becoming central + to operations. Emerging competitive forces are influencing pricing and technological + advancements in AI agents. Existing and new entrants focus on innovation to + differentiate their offerings and capture market share.\"}","name":"generate_report"},"id":"call_7eE0bJbpvO6YYQNs87iTifQ3","type":"function"}]}}],"created":1770145138,"id":"chatcmpl-D5Ftys4PE1B1dkTuv6EPOQyqk0xuv","model":"gpt-4o-2024-11-20","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"jailbreak":{"detected":false,"filtered":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":"fp_b54fe76834","usage":{"completion_tokens":120,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens":537,"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0},"total_tokens":657}} + + ' + headers: + Content-Length: + - '1652' + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:58:59 GMT + Strict-Transport-Security: + - STS-XXX + apim-request-id: + - APIM-REQUEST-ID-XXX + azureml-model-session: + - AZUREML-MODEL-SESSION-XXX + x-accel-buffering: + - 'no' + x-content-type-options: + - X-CONTENT-TYPE-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + x-ms-deployment-name: + - gpt-4o + x-ms-rai-invoked: + - 'true' + x-ms-region: + - X-MS-REGION-XXX + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages": [{"role": "system", "content": "You are Research Analyst. + An experienced analyst skilled at gathering information and synthesizing findings + into actionable insights.\nYour personal goal is: Conduct thorough research + and produce insightful reports"}, {"role": "user", "content": "\nCurrent Task: + Research the current state of the AI agent market:\n1. Search for recent information + about AI agents and their market trends\n2. Read detailed content from a relevant + industry source\n3. Generate a brief report summarizing the key findings\n\nUse + the available tools for each step."}, {"role": "assistant", "content": "", "tool_calls": + [{"id": "call_6RDgkQSr8S7luEHqqOaI734w", "type": "function", "function": {"name": + "web_search", "arguments": "{\"query\":\"current state of AI agent market 2023\"}"}}]}, + {"role": "tool", "tool_call_id": "call_6RDgkQSr8S7luEHqqOaI734w", "content": + "Search results for ''current state of AI agent market 2023'': Found 3 relevant + articles about the topic including market analysis, competitor data, and industry + trends."}, {"role": "assistant", "content": "", "tool_calls": [{"id": "call_ie6tNHSbW9TWIqoXD9CN3MNZ", + "type": "function", "function": {"name": "read_website", "arguments": "{\"url\": + \"https://example.com/article1\"}"}}, {"id": "call_qxn4V4mMMpOnYSAwVuwarFkB", + "type": "function", "function": {"name": "read_website", "arguments": "{\"url\": + \"https://example.com/article2\"}"}}, {"id": "call_7ElzUIHHJvuciFWj6eIF5RhF", + "type": "function", "function": {"name": "read_website", "arguments": "{\"url\": + \"https://example.com/article3\"}"}}]}, {"role": "tool", "tool_call_id": "call_ie6tNHSbW9TWIqoXD9CN3MNZ", + "content": "Content from https://example.com/article1: This article discusses + key insights about the topic including market size ($50B), growth rate (15% + YoY), and major players in the industry."}, {"role": "tool", "tool_call_id": + "call_qxn4V4mMMpOnYSAwVuwarFkB", "content": "Content from https://example.com/article2: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}, {"role": "tool", + "tool_call_id": "call_7ElzUIHHJvuciFWj6eIF5RhF", "content": "Content from https://example.com/article3: + This article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}, {"role": "assistant", + "content": "", "tool_calls": [{"id": "call_7eE0bJbpvO6YYQNs87iTifQ3", "type": + "function", "function": {"name": "generate_report", "arguments": "{\"title\":\"Current + State of the AI Agent Market\",\"findings\":\"The AI agent market in 2023 is + valued at $50 billion, with a growth rate of 15% YoY. Major players in the market + have been identified as contributing to the expansion of industry capabilities. + Trends point to increasing adoption across industries such as healthcare and + finance, where automation and intelligence are becoming central to operations. + Emerging competitive forces are influencing pricing and technological advancements + in AI agents. Existing and new entrants focus on innovation to differentiate + their offerings and capture market share.\"}"}}]}, {"role": "tool", "tool_call_id": + "call_7eE0bJbpvO6YYQNs87iTifQ3", "content": "# Current State of the AI Agent + Market\n\n## Executive Summary\nThe AI agent market in 2023 is valued at $50 + billion, with a growth rate of 15% YoY. Major players in the market have been + identified as contributing to the expansion of industry capabilities. Trends + point to increasing adoption across industries such as healthcare and finance, + where automation and intelligence are becoming central to operations. Emerging + competitive forces are influencing pricing and technological advancements in + AI agents. Existing and new entrants focus on innovation to differentiate their + offerings and capture market share.\n\n## Conclusion\nBased on the analysis, + the market shows strong growth potential."}], "stream": false, "stop": ["\nObservation:"], + "tool_choice": "auto", "tools": [{"function": {"name": "web_search", "description": + "Search the web for information on a given topic.\n\nArgs:\n query: The search + query to look up.\n\nReturns:\n Search results as a string.", "parameters": + {"properties": {"query": {"title": "Query", "type": "string"}}, "required": + ["query"], "type": "object", "additionalProperties": false}}, "type": "function"}, + {"function": {"name": "read_website", "description": "Read and extract content + from a website URL.\n\nArgs:\n url: The URL of the website to read.\n\nReturns:\n The + extracted content from the website.", "parameters": {"properties": {"url": {"title": + "Url", "type": "string"}}, "required": ["url"], "type": "object", "additionalProperties": + false}}, "type": "function"}, {"function": {"name": "generate_report", "description": + "Generate a structured report based on research findings.\n\nArgs:\n title: + The title of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.", "parameters": {"properties": {"title": {"title": + "Title", "type": "string"}, "findings": {"title": "Findings", "type": "string"}}, + "required": ["title", "findings"], "type": "object", "additionalProperties": + false}}, "type": "function"}]}' + headers: + Accept: + - application/json + Connection: + - keep-alive + Content-Length: + - '5276' + Content-Type: + - application/json + User-Agent: + - X-USER-AGENT-XXX + accept-encoding: + - ACCEPT-ENCODING-XXX + api-key: + - X-API-KEY-XXX + authorization: + - AUTHORIZATION-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + method: POST + uri: https://fake-azure-endpoint.openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2024-12-01-preview + response: + body: + string: '{"choices":[{"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"protected_material_code":{"detected":false,"filtered":false},"protected_material_text":{"detected":false,"filtered":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}},"finish_reason":"stop","index":0,"logprobs":null,"message":{"annotations":[],"content":"The + report detailing the current state of the AI agent market has been generated + successfully. It highlights the market''s $50 billion valuation in 2023, with + a consistent annual growth rate of 15%. Key findings identify the role of + major players, impactful trends like sector adoption (healthcare and finance), + and the competitive dynamic driving innovation and technological advancements.","refusal":null,"role":"assistant"}}],"created":1770145141,"id":"chatcmpl-D5Fu18JFkDPGsKf10eiS2e2uI04MU","model":"gpt-4o-2024-11-20","object":"chat.completion","prompt_filter_results":[{"prompt_index":0,"content_filter_results":{"hate":{"filtered":false,"severity":"safe"},"jailbreak":{"detected":false,"filtered":false},"self_harm":{"filtered":false,"severity":"safe"},"sexual":{"filtered":false,"severity":"safe"},"violence":{"filtered":false,"severity":"safe"}}}],"system_fingerprint":"fp_b54fe76834","usage":{"completion_tokens":72,"completion_tokens_details":{"accepted_prediction_tokens":0,"audio_tokens":0,"reasoning_tokens":0,"rejected_prediction_tokens":0},"prompt_tokens":787,"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0},"total_tokens":859}} + + ' + headers: + Content-Length: + - '1597' + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:01 GMT + Strict-Transport-Security: + - STS-XXX + apim-request-id: + - APIM-REQUEST-ID-XXX + azureml-model-session: + - AZUREML-MODEL-SESSION-XXX + x-accel-buffering: + - 'no' + x-content-type-options: + - X-CONTENT-TYPE-XXX + x-ms-client-request-id: + - X-MS-CLIENT-REQUEST-ID-XXX + x-ms-deployment-name: + - gpt-4o + x-ms-rai-invoked: + - 'true' + x-ms-region: + - X-MS-REGION-XXX + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +version: 1 diff --git a/lib/crewai/tests/cassettes/utilities/TestGeminiStructuredPlanning.test_gemini_research_workflow_generates_steps.yaml b/lib/crewai/tests/cassettes/utilities/TestGeminiStructuredPlanning.test_gemini_research_workflow_generates_steps.yaml new file mode 100644 index 000000000..e760c5128 --- /dev/null +++ b/lib/crewai/tests/cassettes/utilities/TestGeminiStructuredPlanning.test_gemini_research_workflow_generates_steps.yaml @@ -0,0 +1,613 @@ +interactions: +- request: + body: '{"contents": [{"parts": [{"text": "Create a focused execution plan for + the following task:\n\n## Task\nResearch the current state of the AI agent market:\n1. + Search for recent information about AI agents and their market trends\n2. Read + detailed content from a relevant industry source\n3. Generate a brief report + summarizing the key findings\n\nUse the available tools for each step.\n\n## + Expected Output\nComplete the task successfully\n\n## Available Tools\nweb_search, + read_website, generate_report\n\n## Instructions\nCreate ONLY the essential + steps needed to complete this task. Use the MINIMUM number of steps required + - do NOT pad your plan with unnecessary steps. Most tasks need only 2-5 steps.\n\nFor + each step:\n- State the specific action to take\n- Specify which tool to use + (if any)\n- Note dependencies on previous steps if this step requires their + output\n- If a step involves multiple items (e.g., research 3 competitors), + note this explicitly\n\nDo NOT include:\n- Setup or preparation steps that are + obvious\n- Verification steps unless critical\n- Documentation or cleanup steps + unless explicitly required\n- Generic steps like \"review results\" or \"finalize + output\"\n\nAfter your plan, state:\n- \"READY: I am ready to execute the task.\" + if the plan is complete\n- \"NOT READY: I need to refine my plan because [reason].\" + if you need more thinking"}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are a strategic planning assistant. Create minimal, effective + execution plans. Prefer fewer steps over more."}], "role": "user"}, "tools": + [{"functionDeclarations": [{"description": "Create or refine a reasoning plan + for a task with structured steps", "name": "create_reasoning_plan", "parameters_json_schema": + {"type": "object", "properties": {"plan": {"type": "string", "description": + "A brief summary of the overall plan."}, "steps": {"type": "array", "description": + "List of discrete steps to execute the plan", "items": {"type": "object", "properties": + {"step_number": {"type": "integer", "description": "Step number (1-based)"}, + "description": {"type": "string", "description": "What to do in this step"}, + "tool_to_use": {"type": ["string", "null"], "description": "Tool to use for + this step, or null if no tool needed"}, "depends_on": {"type": "array", "items": + {"type": "integer"}, "description": "Step numbers this step depends on (empty + array if none)"}}, "required": ["step_number", "description", "tool_to_use", + "depends_on"], "additionalProperties": false}}, "ready": {"type": "boolean", + "description": "Whether the agent is ready to execute the task."}}, "required": + ["plan", "steps", "ready"], "additionalProperties": false}}]}], "generationConfig": + {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '2747' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"functionCall\": {\n \"name\": \"create_reasoning_plan\",\n + \ \"args\": {\n \"steps\": [\n {\n + \ \"step_number\": 1,\n \"tool_to_use\": + \"web_search\",\n \"depends_on\": [],\n \"description\": + \"Search for recent information on AI agent market trends.\"\n },\n + \ {\n \"description\": \"Read detailed + content from a relevant industry source found in the search results.\",\n + \ \"depends_on\": [\n 1\n ],\n + \ \"step_number\": 2,\n \"tool_to_use\": + \"read_website\"\n },\n {\n \"depends_on\": + [\n 2\n ],\n \"step_number\": + 3,\n \"tool_to_use\": \"generate_report\",\n \"description\": + \"Generate a brief report summarizing the key findings from the researched + content.\"\n }\n ],\n \"plan\": + \"Research the current state of the AI agent market and generate a summary + report.\",\n \"ready\": true\n }\n },\n + \ \"thoughtSignature\": \"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\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0,\n \"finishMessage\": \"Model generated + function call(s).\"\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 529,\n \"candidatesTokenCount\": 169,\n \"totalTokenCount\": 955,\n + \ \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 529\n }\n ],\n \"thoughtsTokenCount\": + 257\n },\n \"modelVersion\": \"gemini-2.5-flash\",\n \"responseId\": \"h0WCacqWA6WM_PUPl-niyQ0\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Tue, 03 Feb 2026 18:59:19 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=2345 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Research the current + state of the AI agent market:\n1. Search for recent information about AI agents + and their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step."}], "role": "user"}], "systemInstruction": {"parts": [{"text": + "You are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports"}], "role": "user"}, + "tools": [{"functionDeclarations": [{"description": "Search the web for information + on a given topic.\n\nArgs:\n query: The search query to look up.\n\nReturns:\n Search + results as a string.", "name": "web_search", "parameters_json_schema": {"properties": + {"query": {"title": "Query", "type": "string"}}, "required": ["query"], "type": + "object", "additionalProperties": false}}, {"description": "Read and extract + content from a website URL.\n\nArgs:\n url: The URL of the website to read.\n\nReturns:\n The + extracted content from the website.", "name": "read_website", "parameters_json_schema": + {"properties": {"url": {"title": "Url", "type": "string"}}, "required": ["url"], + "type": "object", "additionalProperties": false}}, {"description": "Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.", "name": "generate_report", "parameters_json_schema": + {"properties": {"title": {"title": "Title", "type": "string"}, "findings": {"title": + "Findings", "type": "string"}}, "required": ["title", "findings"], "type": "object", + "additionalProperties": false}}]}], "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '1904' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"functionCall\": {\n \"name\": \"web_search\",\n + \ \"args\": {\n \"query\": \"AI agent market trends + 2023-2024\"\n }\n },\n \"thoughtSignature\": + \"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\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0,\n \"finishMessage\": \"Model generated + function call(s).\"\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 319,\n \"candidatesTokenCount\": 28,\n \"totalTokenCount\": 461,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 319\n + \ }\n ],\n \"thoughtsTokenCount\": 114\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"iEWCaYyJENDn_uMP4q3N8QE\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Tue, 03 Feb 2026 18:59:20 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=1193 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Research the current + state of the AI agent market:\n1. Search for recent information about AI agents + and their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step."}], "role": "user"}, {"parts": [{"functionCall": {"args": {"query": + "AI agent market trends 2023-2024"}, "name": "web_search"}, "thoughtSignature": + "CoYEAXLI2nzmyDix3_QA-tMOiUwpDVoA5-RJoRW7kw3okJaVYCa5Usx7eBn4xowP7oXNynS4NfawCYqboufBXjHinq13UTcYg0Y74qIrza4KuctliGmf8G7S4QoS0Y3gqCHQKsxTdShQOg8wirnr8Rdu1eyrrhWE0XKk0HPA0Ssj7zUVoJBqHPqwyvkFyXkMtpcmtq9qXmZYfMFuSKRQnYLVLllL_BpOIL3w7MuofpviO85bvYk9gX0vsDjYWS6EdVEfC9k2BWGjhHaILXT9A1iwNPdDAg33SOC-BlPrGox0ghCr5qEKnBMZhUszqaUCykczFCq-xMIA3xDGNbTjicWb53sL_PXBYLsNty1giW3nKFe8-8eRpUsHUx7oQ82m4AUxKqk99mZjaLp8bHk-rERjFZErcw_pe_3190K0WGHH5ecB4amJCzZtVrQJ1oAZhb7_P1VZ57xmt1z_c1pQgjuvnV-cWE9blh5o6mNNFbFuzJDIO2k8qrFeeDwlCF8OOrxo8F-z1evg4yjZ1-9TLCVFTmZ0S0PI54FS5afb0RdPol2_ISNw7H_dtnO4z6LhT2NmlYqYZr8qfVoUD21rmI08NFs-f_6JW5-7eSQbax76SW-6A2IqqPPyF66MCpqtEzC-hpzVsCBcIQyRQWsdm-RNAs50gmqF6W3CcTPryWkeS7w9ORqxdiU="}], + "role": "model"}, {"parts": [{"functionResponse": {"name": "web_search", "response": + {"result": "Search results for ''AI agent market trends 2023-2024'': Found 3 + relevant articles about the topic including market analysis, competitor data, + and industry trends."}}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are Research Analyst. An experienced analyst skilled at gathering + information and synthesizing findings into actionable insights.\nYour personal + goal is: Conduct thorough research and produce insightful reports"}], "role": + "user"}, "tools": [{"functionDeclarations": [{"description": "Search the web + for information on a given topic.\n\nArgs:\n query: The search query to look + up.\n\nReturns:\n Search results as a string.", "name": "web_search", "parameters_json_schema": + {"properties": {"query": {"title": "Query", "type": "string"}}, "required": + ["query"], "type": "object", "additionalProperties": false}}, {"description": + "Read and extract content from a website URL.\n\nArgs:\n url: The URL of + the website to read.\n\nReturns:\n The extracted content from the website.", + "name": "read_website", "parameters_json_schema": {"properties": {"url": {"title": + "Url", "type": "string"}}, "required": ["url"], "type": "object", "additionalProperties": + false}}, {"description": "Generate a structured report based on research findings.\n\nArgs:\n title: + The title of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.", "name": "generate_report", "parameters_json_schema": + {"properties": {"title": {"title": "Title", "type": "string"}, "findings": {"title": + "Findings", "type": "string"}}, "required": ["title", "findings"], "type": "object", + "additionalProperties": false}}]}], "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '3015' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"functionCall\": {\n \"name\": \"web_search\",\n + \ \"args\": {\n \"query\": \"latest reports AI + agent market analysis\"\n }\n },\n \"thoughtSignature\": + \"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\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0,\n \"finishMessage\": \"Model generated + function call(s).\"\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 400,\n \"candidatesTokenCount\": 20,\n \"totalTokenCount\": 589,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 400\n + \ }\n ],\n \"thoughtsTokenCount\": 169\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"ikWCacqBG8ve_uMPj4KFyAY\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Tue, 03 Feb 2026 18:59:22 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=2125 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Research the current + state of the AI agent market:\n1. Search for recent information about AI agents + and their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step."}], "role": "user"}, {"parts": [{"functionCall": {"args": {"query": + "AI agent market trends 2023-2024"}, "name": "web_search"}, "thoughtSignature": + "CoYEAXLI2nzmyDix3_QA-tMOiUwpDVoA5-RJoRW7kw3okJaVYCa5Usx7eBn4xowP7oXNynS4NfawCYqboufBXjHinq13UTcYg0Y74qIrza4KuctliGmf8G7S4QoS0Y3gqCHQKsxTdShQOg8wirnr8Rdu1eyrrhWE0XKk0HPA0Ssj7zUVoJBqHPqwyvkFyXkMtpcmtq9qXmZYfMFuSKRQnYLVLllL_BpOIL3w7MuofpviO85bvYk9gX0vsDjYWS6EdVEfC9k2BWGjhHaILXT9A1iwNPdDAg33SOC-BlPrGox0ghCr5qEKnBMZhUszqaUCykczFCq-xMIA3xDGNbTjicWb53sL_PXBYLsNty1giW3nKFe8-8eRpUsHUx7oQ82m4AUxKqk99mZjaLp8bHk-rERjFZErcw_pe_3190K0WGHH5ecB4amJCzZtVrQJ1oAZhb7_P1VZ57xmt1z_c1pQgjuvnV-cWE9blh5o6mNNFbFuzJDIO2k8qrFeeDwlCF8OOrxo8F-z1evg4yjZ1-9TLCVFTmZ0S0PI54FS5afb0RdPol2_ISNw7H_dtnO4z6LhT2NmlYqYZr8qfVoUD21rmI08NFs-f_6JW5-7eSQbax76SW-6A2IqqPPyF66MCpqtEzC-hpzVsCBcIQyRQWsdm-RNAs50gmqF6W3CcTPryWkeS7w9ORqxdiU="}], + "role": "model"}, {"parts": [{"functionResponse": {"name": "web_search", "response": + {"result": "Search results for ''AI agent market trends 2023-2024'': Found 3 + relevant articles about the topic including market analysis, competitor data, + and industry trends."}}}], "role": "user"}, {"parts": [{"functionCall": {"args": + {"query": "latest reports AI agent market analysis"}, "name": "web_search"}, + "thoughtSignature": "CpwGAXLI2nybmVGffIN1k-T5M2HmQNlvybZRPoo_ysgNARa-9nrPdRoBZ9RC-Dee9KSk1o7O-IU9l0sWCTirQYcroEhXon-JIQUVTed_L0s__sBOR-hJnZWoaG5ucsfJQvovAQba2Wb7uViEkdySvHfRApF0atewbC-TCKZrxDAQ6Naby8nwUTauJPKlgsBsZVnlViRfIbF7pom1zvXD-d5htjMiuJr1nOuSH0EGQWC4TUiuJD23hgockzhmIpbU_bStn8PFIQNsySEzl6H5sZdlD4auwCMCD2Q-Ur05w1uLv7n8GoSZn5dkdXLR5R7dZ-kkX-xP4w841Ih2gc6rBKT5tSedN01AuJsK65NSfOXZBwakxs58WZXDQXnIQe4d2QThAX3nPdUmhvVI6sHX-ZdtQZIrhE7hRf9j_T_wvvrUao5VDv-mxXd9bcPEV2BzSXkvkAB1SbJ-5wN7Qb2j31lkiUu5uRnZOiVxL5iCS-8Z_jEl4NjpGithbcPoNpFIDOeiE_f8kf7tQJDX-YNquPbYZRJHvIfLalVQndVGNlZVN2jXT3Wwo8So3vmzIDFVjV-pj7tSRNK8hTITm6bfHS-XUZqJdm7eHCzhonyJ7_tl7LbsstPXoZU3ZN50tNpXYOK-NzgzU7iwd9SaHVXgzQRdujWgHuBmSiSd9qNHvdaNwgARVTnMj3VYpehgIuaYMzQmgM99TdC_zmzcqHa5VZSnHKHqMIVc9gjRvVwz4DUm6VLLnKnVYFClM6gofmUI6s9fThiR5EdfimaDTlRlzh6Df33jAbRA9rUTDH6uE-DjiopCvXuHjmQqK9Smyxt2vTao9H7AYIRN7yWmdVoaG0tUSL2XQ31wIW3cEyhz7ihQwFYKJnOkQ3_CiU6KV-4ldk9UY_vKWSgItVTTE6G8Di0iviiCAkmL59Uj7vnIp80-U9rDIK7WhxpAWlrDA6cGQT2LGAXQ2liXtLa31nXyfvCezhtSS8jSVm4SHaiU-INvYtpq2Q7nXPTFbjjZooyC5FePGqAH1T-sRYbR02jaa572_NuwFgBCObTfqO8G5A=="}], + "role": "model"}, {"parts": [{"functionResponse": {"name": "web_search", "response": + {"result": "Search results for ''latest reports AI agent market analysis'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}}}], "role": "user"}], "systemInstruction": {"parts": + [{"text": "You are Research Analyst. An experienced analyst skilled at gathering + information and synthesizing findings into actionable insights.\nYour personal + goal is: Conduct thorough research and produce insightful reports"}], "role": + "user"}, "tools": [{"functionDeclarations": [{"description": "Search the web + for information on a given topic.\n\nArgs:\n query: The search query to look + up.\n\nReturns:\n Search results as a string.", "name": "web_search", "parameters_json_schema": + {"properties": {"query": {"title": "Query", "type": "string"}}, "required": + ["query"], "type": "object", "additionalProperties": false}}, {"description": + "Read and extract content from a website URL.\n\nArgs:\n url: The URL of + the website to read.\n\nReturns:\n The extracted content from the website.", + "name": "read_website", "parameters_json_schema": {"properties": {"url": {"title": + "Url", "type": "string"}}, "required": ["url"], "type": "object", "additionalProperties": + false}}, {"description": "Generate a structured report based on research findings.\n\nArgs:\n title: + The title of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.", "name": "generate_report", "parameters_json_schema": + {"properties": {"title": {"title": "Title", "type": "string"}, "findings": {"title": + "Findings", "type": "string"}}, "required": ["title", "findings"], "type": "object", + "additionalProperties": false}}]}], "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '4512' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"functionCall\": {\n \"name\": \"read_website\",\n + \ \"args\": {\n \"url\": \"https://www.example.com/ai-agent-market-report\"\n + \ }\n },\n \"thoughtSignature\": \"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\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0,\n \"finishMessage\": \"Model generated + function call(s).\"\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 465,\n \"candidatesTokenCount\": 29,\n \"totalTokenCount\": 916,\n \"promptTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 465\n + \ }\n ],\n \"thoughtsTokenCount\": 422\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"jUWCadDOIdi8_uMPxuOu4Ak\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Tue, 03 Feb 2026 18:59:25 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=3079 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Research the current + state of the AI agent market:\n1. Search for recent information about AI agents + and their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step."}], "role": "user"}, {"parts": [{"functionCall": {"args": {"query": + "AI agent market trends 2023-2024"}, "name": "web_search"}, "thoughtSignature": + "CoYEAXLI2nzmyDix3_QA-tMOiUwpDVoA5-RJoRW7kw3okJaVYCa5Usx7eBn4xowP7oXNynS4NfawCYqboufBXjHinq13UTcYg0Y74qIrza4KuctliGmf8G7S4QoS0Y3gqCHQKsxTdShQOg8wirnr8Rdu1eyrrhWE0XKk0HPA0Ssj7zUVoJBqHPqwyvkFyXkMtpcmtq9qXmZYfMFuSKRQnYLVLllL_BpOIL3w7MuofpviO85bvYk9gX0vsDjYWS6EdVEfC9k2BWGjhHaILXT9A1iwNPdDAg33SOC-BlPrGox0ghCr5qEKnBMZhUszqaUCykczFCq-xMIA3xDGNbTjicWb53sL_PXBYLsNty1giW3nKFe8-8eRpUsHUx7oQ82m4AUxKqk99mZjaLp8bHk-rERjFZErcw_pe_3190K0WGHH5ecB4amJCzZtVrQJ1oAZhb7_P1VZ57xmt1z_c1pQgjuvnV-cWE9blh5o6mNNFbFuzJDIO2k8qrFeeDwlCF8OOrxo8F-z1evg4yjZ1-9TLCVFTmZ0S0PI54FS5afb0RdPol2_ISNw7H_dtnO4z6LhT2NmlYqYZr8qfVoUD21rmI08NFs-f_6JW5-7eSQbax76SW-6A2IqqPPyF66MCpqtEzC-hpzVsCBcIQyRQWsdm-RNAs50gmqF6W3CcTPryWkeS7w9ORqxdiU="}], + "role": "model"}, {"parts": [{"functionResponse": {"name": "web_search", "response": + {"result": "Search results for ''AI agent market trends 2023-2024'': Found 3 + relevant articles about the topic including market analysis, competitor data, + and industry trends."}}}], "role": "user"}, {"parts": [{"functionCall": {"args": + {"query": "latest reports AI agent market analysis"}, "name": "web_search"}, + "thoughtSignature": "CpwGAXLI2nybmVGffIN1k-T5M2HmQNlvybZRPoo_ysgNARa-9nrPdRoBZ9RC-Dee9KSk1o7O-IU9l0sWCTirQYcroEhXon-JIQUVTed_L0s__sBOR-hJnZWoaG5ucsfJQvovAQba2Wb7uViEkdySvHfRApF0atewbC-TCKZrxDAQ6Naby8nwUTauJPKlgsBsZVnlViRfIbF7pom1zvXD-d5htjMiuJr1nOuSH0EGQWC4TUiuJD23hgockzhmIpbU_bStn8PFIQNsySEzl6H5sZdlD4auwCMCD2Q-Ur05w1uLv7n8GoSZn5dkdXLR5R7dZ-kkX-xP4w841Ih2gc6rBKT5tSedN01AuJsK65NSfOXZBwakxs58WZXDQXnIQe4d2QThAX3nPdUmhvVI6sHX-ZdtQZIrhE7hRf9j_T_wvvrUao5VDv-mxXd9bcPEV2BzSXkvkAB1SbJ-5wN7Qb2j31lkiUu5uRnZOiVxL5iCS-8Z_jEl4NjpGithbcPoNpFIDOeiE_f8kf7tQJDX-YNquPbYZRJHvIfLalVQndVGNlZVN2jXT3Wwo8So3vmzIDFVjV-pj7tSRNK8hTITm6bfHS-XUZqJdm7eHCzhonyJ7_tl7LbsstPXoZU3ZN50tNpXYOK-NzgzU7iwd9SaHVXgzQRdujWgHuBmSiSd9qNHvdaNwgARVTnMj3VYpehgIuaYMzQmgM99TdC_zmzcqHa5VZSnHKHqMIVc9gjRvVwz4DUm6VLLnKnVYFClM6gofmUI6s9fThiR5EdfimaDTlRlzh6Df33jAbRA9rUTDH6uE-DjiopCvXuHjmQqK9Smyxt2vTao9H7AYIRN7yWmdVoaG0tUSL2XQ31wIW3cEyhz7ihQwFYKJnOkQ3_CiU6KV-4ldk9UY_vKWSgItVTTE6G8Di0iviiCAkmL59Uj7vnIp80-U9rDIK7WhxpAWlrDA6cGQT2LGAXQ2liXtLa31nXyfvCezhtSS8jSVm4SHaiU-INvYtpq2Q7nXPTFbjjZooyC5FePGqAH1T-sRYbR02jaa572_NuwFgBCObTfqO8G5A=="}], + "role": "model"}, {"parts": [{"functionResponse": {"name": "web_search", "response": + {"result": "Search results for ''latest reports AI agent market analysis'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}}}], "role": "user"}, {"parts": [{"functionCall": + {"args": {"url": "https://www.example.com/ai-agent-market-report"}, "name": + "read_website"}, "thoughtSignature": "CooPAXLI2nzYy6ki8YJo4RDDzryK6qtkbIEWXCh0ZjpoRX2fgNghUrxXZUwrsrbrwEpccdvWCDpb5ZkwYMNuzMi4yRUsjfcebfd2VCwQgvWnWmitj3taAcLCUDIJX5pGt0L2O8V6ehWmrANQHGw6Qc_QVx5dMlSFeFKHtfc1M95CJz2BxZd3lnuKLCEu7LCCiqIDdd1o1y_EcGsl7OHai6WyQJg49Cvcww__Z-kfSVoAPGNedTYPIf4ImttMyofV8-yczI0IGjhFzE0Qk1Pvo84O9NyOufpPELeKY8l1yfZgSZEL0sUA6weqf1P_xzNKt6h96Rh1KpAx5iTGFtqOWJrJ8OP-ZdGJ-rA-xZQuTRtKbW_e60rC5kPgJnkhWCp1p7HTLgTGwpzzxztqL0ggURaWw8GJw8S41BcM5mFEA-a7ivMWPMLdMk6h5gr_Y8JTnLSRZFoZYHkY9bTcAFPc9gapyFlKkQDciYet_MHe2zfE7ycx0e8c0W7ISoYPHpXW_WxNekMiNdfx1eg_mEX_Y0Vjc70p-HtbnEGaBoZWJSo-cJtZdA4sNJaIuEnnVTtAdAtnoxJUOyr2jrKDAsSjHmVoeLARZO2_DuJKsEVNHzsNPMw4SrBq1DkG52Aof7KcskOfW2OyoZEUnIf23IRabKflUG_7dHGqYfLtkWRApWZYBy2eQILwsmXJ4xx27S7_02Jl0D8rX3vOQhjS7lTjrXvy8wU3biUFvbnqJuLj3ACLn7Hn1axe4dB7zIpYC1di63DDs1fQp79d2VaGRC-tVMKiQu_-yC6nCM4j8JSnpBNgvyhq3ilAr_iDHD6GkbxdBBChFbZl0KY-WkrcZpPp2g2m_beiQuzF-cM6RuaqF2W0TEjVT-OZ1ivObreXFVFWa9T5qFsTjV3E_SFlmrXdx6Kf8d0i9QeEwbzBIvvX3VNUdW1DJ95WylaUXFtljk_cqylri2j2WTPMTSV9fcM_a8UWoayUAuLzq8zgxd2Wvrm8uvGcaewAQT-yK-u5FsLFoKxaMkoakb2_1tjWfhn-MrbIoYOBIebUapUhADUJgGDTG7byEEQlbwNaa8rOZ5ZpdBrDXjtj1tsz6cqaEiCbtZWqei0myuMa0J6Z3FHoceSUgOACD_bHWSkzdW7LdKBKLxB25fKfD1hCLscE1skZ7nAEZWmrUzKz9yCiqAPfatQhHqnr3EchEB_dxbNXxCCT6IFxemhb9AsaQWjcTrlQJiuz8t4VMmu1slgEcrhweZ_PpxI_E74qvV9ljcFLcziW0BZaqepJMeBe2cLfVVki5R5kudQVuAcCEdkrwBDWAwZlO9aWTmiZ9-ggfl3F_63JzZXSM_NDc_2rJ1k65e-O-vyTzkrUwnSPnh4RPK6jeIul4SSLPgyZBwp0qHyTl4As8jpMe9Rbt0NRli6Z5eAr_IYdbicKo_pzqiupdxvu4u-jKt-F4KojU9avgWFAB01isHHO5Z1vzVJ6XDilWeah5DvHc1lkcPCXtbBGvykfFqJIBhthnFi0f_S4HV-IlOKwvKbfmL5GplD7H-DjUA5UdHjw8HoJa6uQxhbERy5dZlYqxN918aL147Afq4LuPoWUJULEsYULwUuA6HspemIKUltHacOAxZgP4OLVkB3zwssj8E6rMtU1puupHiL7J66fFaR3co71gzzlvl8R2Xi3xEQdpigxxCUAsZWMrSrITRBnKPKGF1CrFEhU6FP6bQAQ6UuhAdqLoJihwVnMTyY9fGUriwCkrQu5gK7ZQlnXyluV0J_5xWh4sOaPmwmeiUXMBPN0iGb7z24lyHaI3QXz3kGlJBnIFhseJTJo3ed66Z_LAf8I_hFC6s_sIioEmRgd4tm3Q1U05ETKrptnzo8Ac4AOTdJtbQv0uDQSkoefUbebu7x6L9Dns04VSvDPKLwlFQd81sl9DYmi9SPDxKT7S6gfG6WjJ9z35eNSR01QW1QIgAAhMU8UX4o7QQaXnUZxfZeYRMXlzu_xb4KSREvc_FeLJ-IvnPFgzryAgLi_Sipl__Eul0sjrREPYJE1GxBOIoURGa-Bsmc3yy8aWArxv_HGpbLzwjmH8TaMvB3P_4tkvT-5IjJlpe0UrR1ssqasUtwfH9yWv5-4i-EdJrJ_SJ4Hl1Vlj9zi9lEFr33Zs96kn8ZOkBHp0m7Sxr5xP-krSxQkROIpu0d02kIqQ3nob-kGbnAf0zkmH6pS3H4mG2Zksu8KcGvghx7XTl3qBOJ-ZY4vlev2cSMBfMmnbUHKvMlz4YsmTGR1JPntDguA8UJJ1UZCex4E_W3KcHwd4qvzqgMZNjdarIvGjlmnKmoL1RV7EqUsBkpk-jauY0SqoWsIIf4b6O9Y3fQRRJURLeIfGCTmlxl-df-4yjqUhxUXTaQsX2KlEJ3tZK-ZI9FdKMzqPip2oMFwf2XfLIyIuRA0NU5fDRIxqPUzYv6RQ-zhXXB1QscsAtyf1t-LsaVw__1Vfj6V3Ups4pNyiwMAZg1z9DaIHht--VfgCdqT4RLcaGI8eEDrjkOc9G_iLkLBCfOB7EZkcXT20Lc1Silxa--dZsaYp5Tni8dz6f5YWg=="}], + "role": "model"}, {"parts": [{"functionResponse": {"name": "read_website", "response": + {"result": "Content from https://www.example.com/ai-agent-market-report: This + article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}}}], "role": "user"}], + "systemInstruction": {"parts": [{"text": "You are Research Analyst. An experienced + analyst skilled at gathering information and synthesizing findings into actionable + insights.\nYour personal goal is: Conduct thorough research and produce insightful + reports"}], "role": "user"}, "tools": [{"functionDeclarations": [{"description": + "Search the web for information on a given topic.\n\nArgs:\n query: The search + query to look up.\n\nReturns:\n Search results as a string.", "name": "web_search", + "parameters_json_schema": {"properties": {"query": {"title": "Query", "type": + "string"}}, "required": ["query"], "type": "object", "additionalProperties": + false}}, {"description": "Read and extract content from a website URL.\n\nArgs:\n url: + The URL of the website to read.\n\nReturns:\n The extracted content from + the website.", "name": "read_website", "parameters_json_schema": {"properties": + {"url": {"title": "Url", "type": "string"}}, "required": ["url"], "type": "object", + "additionalProperties": false}}, {"description": "Generate a structured report + based on research findings.\n\nArgs:\n title: The title of the report.\n findings: + The research findings to include.\n\nReturns:\n A formatted report string.", + "name": "generate_report", "parameters_json_schema": {"properties": {"title": + {"title": "Title", "type": "string"}, "findings": {"title": "Findings", "type": + "string"}}, "required": ["title", "findings"], "type": "object", "additionalProperties": + false}}]}], "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '7562' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"functionCall\": {\n \"name\": \"generate_report\",\n + \ \"args\": {\n \"findings\": \"The AI agent market + is currently valued at $50 billion and is experiencing a strong growth rate + of 15% year-over-year. Key players in the industry are contributing to this + expansion, driven by increasing adoption across various sectors.\",\n \"title\": + \"Current State of the AI Agent Market\"\n }\n },\n + \ \"thoughtSignature\": \"CuACAXLI2nzhub94iTgphfrBnaQV13Wv0+kRJj+l9jEDfxsyNg9eGnhxRfj4cued3Mgvv1CR9vkpfDV/V9x57TVWLNwPsVvsTgZKI0pwmV355sUCRKqAyfRBwDWhn0UAl9+sYNFCKUJCp8G5QBGfrar1lYLltX/z83d4O13Wn5Ugvxco9o4CdxnnPJOWkTPETRgXA/1HSdEiwGNqt0A3lKYkGRXQx+XyK54lDwmOBg+Yx4ZVgUxANXLK1z91NF/6cpmSVgoE2sL0VrIHISYs4XdUCj1fL3R7DpnZdrrZhmqnTjEgkeR1C3BR5GJeSUmg+kmqjPSPnP0NYiZo9H9SGL/ewGz3wg+GKcILAa4nD7/tfdqIMbAff8PJemwJE4ONT5zAmJ69/NFj0i1X01v04E8f2NdHewPSsKO5mptk5qzWxoW3G3uUhXccxk62EydTsESf6WRwolsmphaGgVE9AwuhzQ==\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0,\n \"finishMessage\": \"Model generated + function call(s).\"\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 557,\n \"candidatesTokenCount\": 73,\n \"totalTokenCount\": 700,\n \"cachedContentTokenCount\": + 330,\n \"promptTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 557\n }\n ],\n \"cacheTokensDetails\": + [\n {\n \"modality\": \"TEXT\",\n \"tokenCount\": 330\n + \ }\n ],\n \"thoughtsTokenCount\": 70\n },\n \"modelVersion\": + \"gemini-2.5-flash\",\n \"responseId\": \"jkWCacGZMLrv_uMPibCHmQU\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Tue, 03 Feb 2026 18:59:26 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=1224 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +- request: + body: '{"contents": [{"parts": [{"text": "\nCurrent Task: Research the current + state of the AI agent market:\n1. Search for recent information about AI agents + and their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step."}], "role": "user"}, {"parts": [{"functionCall": {"args": {"query": + "AI agent market trends 2023-2024"}, "name": "web_search"}, "thoughtSignature": + "CoYEAXLI2nzmyDix3_QA-tMOiUwpDVoA5-RJoRW7kw3okJaVYCa5Usx7eBn4xowP7oXNynS4NfawCYqboufBXjHinq13UTcYg0Y74qIrza4KuctliGmf8G7S4QoS0Y3gqCHQKsxTdShQOg8wirnr8Rdu1eyrrhWE0XKk0HPA0Ssj7zUVoJBqHPqwyvkFyXkMtpcmtq9qXmZYfMFuSKRQnYLVLllL_BpOIL3w7MuofpviO85bvYk9gX0vsDjYWS6EdVEfC9k2BWGjhHaILXT9A1iwNPdDAg33SOC-BlPrGox0ghCr5qEKnBMZhUszqaUCykczFCq-xMIA3xDGNbTjicWb53sL_PXBYLsNty1giW3nKFe8-8eRpUsHUx7oQ82m4AUxKqk99mZjaLp8bHk-rERjFZErcw_pe_3190K0WGHH5ecB4amJCzZtVrQJ1oAZhb7_P1VZ57xmt1z_c1pQgjuvnV-cWE9blh5o6mNNFbFuzJDIO2k8qrFeeDwlCF8OOrxo8F-z1evg4yjZ1-9TLCVFTmZ0S0PI54FS5afb0RdPol2_ISNw7H_dtnO4z6LhT2NmlYqYZr8qfVoUD21rmI08NFs-f_6JW5-7eSQbax76SW-6A2IqqPPyF66MCpqtEzC-hpzVsCBcIQyRQWsdm-RNAs50gmqF6W3CcTPryWkeS7w9ORqxdiU="}], + "role": "model"}, {"parts": [{"functionResponse": {"name": "web_search", "response": + {"result": "Search results for ''AI agent market trends 2023-2024'': Found 3 + relevant articles about the topic including market analysis, competitor data, + and industry trends."}}}], "role": "user"}, {"parts": [{"functionCall": {"args": + {"query": "latest reports AI agent market analysis"}, "name": "web_search"}, + "thoughtSignature": "CpwGAXLI2nybmVGffIN1k-T5M2HmQNlvybZRPoo_ysgNARa-9nrPdRoBZ9RC-Dee9KSk1o7O-IU9l0sWCTirQYcroEhXon-JIQUVTed_L0s__sBOR-hJnZWoaG5ucsfJQvovAQba2Wb7uViEkdySvHfRApF0atewbC-TCKZrxDAQ6Naby8nwUTauJPKlgsBsZVnlViRfIbF7pom1zvXD-d5htjMiuJr1nOuSH0EGQWC4TUiuJD23hgockzhmIpbU_bStn8PFIQNsySEzl6H5sZdlD4auwCMCD2Q-Ur05w1uLv7n8GoSZn5dkdXLR5R7dZ-kkX-xP4w841Ih2gc6rBKT5tSedN01AuJsK65NSfOXZBwakxs58WZXDQXnIQe4d2QThAX3nPdUmhvVI6sHX-ZdtQZIrhE7hRf9j_T_wvvrUao5VDv-mxXd9bcPEV2BzSXkvkAB1SbJ-5wN7Qb2j31lkiUu5uRnZOiVxL5iCS-8Z_jEl4NjpGithbcPoNpFIDOeiE_f8kf7tQJDX-YNquPbYZRJHvIfLalVQndVGNlZVN2jXT3Wwo8So3vmzIDFVjV-pj7tSRNK8hTITm6bfHS-XUZqJdm7eHCzhonyJ7_tl7LbsstPXoZU3ZN50tNpXYOK-NzgzU7iwd9SaHVXgzQRdujWgHuBmSiSd9qNHvdaNwgARVTnMj3VYpehgIuaYMzQmgM99TdC_zmzcqHa5VZSnHKHqMIVc9gjRvVwz4DUm6VLLnKnVYFClM6gofmUI6s9fThiR5EdfimaDTlRlzh6Df33jAbRA9rUTDH6uE-DjiopCvXuHjmQqK9Smyxt2vTao9H7AYIRN7yWmdVoaG0tUSL2XQ31wIW3cEyhz7ihQwFYKJnOkQ3_CiU6KV-4ldk9UY_vKWSgItVTTE6G8Di0iviiCAkmL59Uj7vnIp80-U9rDIK7WhxpAWlrDA6cGQT2LGAXQ2liXtLa31nXyfvCezhtSS8jSVm4SHaiU-INvYtpq2Q7nXPTFbjjZooyC5FePGqAH1T-sRYbR02jaa572_NuwFgBCObTfqO8G5A=="}], + "role": "model"}, {"parts": [{"functionResponse": {"name": "web_search", "response": + {"result": "Search results for ''latest reports AI agent market analysis'': + Found 3 relevant articles about the topic including market analysis, competitor + data, and industry trends."}}}], "role": "user"}, {"parts": [{"functionCall": + {"args": {"url": "https://www.example.com/ai-agent-market-report"}, "name": + "read_website"}, "thoughtSignature": "CooPAXLI2nzYy6ki8YJo4RDDzryK6qtkbIEWXCh0ZjpoRX2fgNghUrxXZUwrsrbrwEpccdvWCDpb5ZkwYMNuzMi4yRUsjfcebfd2VCwQgvWnWmitj3taAcLCUDIJX5pGt0L2O8V6ehWmrANQHGw6Qc_QVx5dMlSFeFKHtfc1M95CJz2BxZd3lnuKLCEu7LCCiqIDdd1o1y_EcGsl7OHai6WyQJg49Cvcww__Z-kfSVoAPGNedTYPIf4ImttMyofV8-yczI0IGjhFzE0Qk1Pvo84O9NyOufpPELeKY8l1yfZgSZEL0sUA6weqf1P_xzNKt6h96Rh1KpAx5iTGFtqOWJrJ8OP-ZdGJ-rA-xZQuTRtKbW_e60rC5kPgJnkhWCp1p7HTLgTGwpzzxztqL0ggURaWw8GJw8S41BcM5mFEA-a7ivMWPMLdMk6h5gr_Y8JTnLSRZFoZYHkY9bTcAFPc9gapyFlKkQDciYet_MHe2zfE7ycx0e8c0W7ISoYPHpXW_WxNekMiNdfx1eg_mEX_Y0Vjc70p-HtbnEGaBoZWJSo-cJtZdA4sNJaIuEnnVTtAdAtnoxJUOyr2jrKDAsSjHmVoeLARZO2_DuJKsEVNHzsNPMw4SrBq1DkG52Aof7KcskOfW2OyoZEUnIf23IRabKflUG_7dHGqYfLtkWRApWZYBy2eQILwsmXJ4xx27S7_02Jl0D8rX3vOQhjS7lTjrXvy8wU3biUFvbnqJuLj3ACLn7Hn1axe4dB7zIpYC1di63DDs1fQp79d2VaGRC-tVMKiQu_-yC6nCM4j8JSnpBNgvyhq3ilAr_iDHD6GkbxdBBChFbZl0KY-WkrcZpPp2g2m_beiQuzF-cM6RuaqF2W0TEjVT-OZ1ivObreXFVFWa9T5qFsTjV3E_SFlmrXdx6Kf8d0i9QeEwbzBIvvX3VNUdW1DJ95WylaUXFtljk_cqylri2j2WTPMTSV9fcM_a8UWoayUAuLzq8zgxd2Wvrm8uvGcaewAQT-yK-u5FsLFoKxaMkoakb2_1tjWfhn-MrbIoYOBIebUapUhADUJgGDTG7byEEQlbwNaa8rOZ5ZpdBrDXjtj1tsz6cqaEiCbtZWqei0myuMa0J6Z3FHoceSUgOACD_bHWSkzdW7LdKBKLxB25fKfD1hCLscE1skZ7nAEZWmrUzKz9yCiqAPfatQhHqnr3EchEB_dxbNXxCCT6IFxemhb9AsaQWjcTrlQJiuz8t4VMmu1slgEcrhweZ_PpxI_E74qvV9ljcFLcziW0BZaqepJMeBe2cLfVVki5R5kudQVuAcCEdkrwBDWAwZlO9aWTmiZ9-ggfl3F_63JzZXSM_NDc_2rJ1k65e-O-vyTzkrUwnSPnh4RPK6jeIul4SSLPgyZBwp0qHyTl4As8jpMe9Rbt0NRli6Z5eAr_IYdbicKo_pzqiupdxvu4u-jKt-F4KojU9avgWFAB01isHHO5Z1vzVJ6XDilWeah5DvHc1lkcPCXtbBGvykfFqJIBhthnFi0f_S4HV-IlOKwvKbfmL5GplD7H-DjUA5UdHjw8HoJa6uQxhbERy5dZlYqxN918aL147Afq4LuPoWUJULEsYULwUuA6HspemIKUltHacOAxZgP4OLVkB3zwssj8E6rMtU1puupHiL7J66fFaR3co71gzzlvl8R2Xi3xEQdpigxxCUAsZWMrSrITRBnKPKGF1CrFEhU6FP6bQAQ6UuhAdqLoJihwVnMTyY9fGUriwCkrQu5gK7ZQlnXyluV0J_5xWh4sOaPmwmeiUXMBPN0iGb7z24lyHaI3QXz3kGlJBnIFhseJTJo3ed66Z_LAf8I_hFC6s_sIioEmRgd4tm3Q1U05ETKrptnzo8Ac4AOTdJtbQv0uDQSkoefUbebu7x6L9Dns04VSvDPKLwlFQd81sl9DYmi9SPDxKT7S6gfG6WjJ9z35eNSR01QW1QIgAAhMU8UX4o7QQaXnUZxfZeYRMXlzu_xb4KSREvc_FeLJ-IvnPFgzryAgLi_Sipl__Eul0sjrREPYJE1GxBOIoURGa-Bsmc3yy8aWArxv_HGpbLzwjmH8TaMvB3P_4tkvT-5IjJlpe0UrR1ssqasUtwfH9yWv5-4i-EdJrJ_SJ4Hl1Vlj9zi9lEFr33Zs96kn8ZOkBHp0m7Sxr5xP-krSxQkROIpu0d02kIqQ3nob-kGbnAf0zkmH6pS3H4mG2Zksu8KcGvghx7XTl3qBOJ-ZY4vlev2cSMBfMmnbUHKvMlz4YsmTGR1JPntDguA8UJJ1UZCex4E_W3KcHwd4qvzqgMZNjdarIvGjlmnKmoL1RV7EqUsBkpk-jauY0SqoWsIIf4b6O9Y3fQRRJURLeIfGCTmlxl-df-4yjqUhxUXTaQsX2KlEJ3tZK-ZI9FdKMzqPip2oMFwf2XfLIyIuRA0NU5fDRIxqPUzYv6RQ-zhXXB1QscsAtyf1t-LsaVw__1Vfj6V3Ups4pNyiwMAZg1z9DaIHht--VfgCdqT4RLcaGI8eEDrjkOc9G_iLkLBCfOB7EZkcXT20Lc1Silxa--dZsaYp5Tni8dz6f5YWg=="}], + "role": "model"}, {"parts": [{"functionResponse": {"name": "read_website", "response": + {"result": "Content from https://www.example.com/ai-agent-market-report: This + article discusses key insights about the topic including market size ($50B), + growth rate (15% YoY), and major players in the industry."}}}], "role": "user"}, + {"parts": [{"functionCall": {"args": {"findings": "The AI agent market is currently + valued at $50 billion and is experiencing a strong growth rate of 15% year-over-year. + Key players in the industry are contributing to this expansion, driven by increasing + adoption across various sectors.", "title": "Current State of the AI Agent Market"}, + "name": "generate_report"}, "thoughtSignature": "CuACAXLI2nzhub94iTgphfrBnaQV13Wv0-kRJj-l9jEDfxsyNg9eGnhxRfj4cued3Mgvv1CR9vkpfDV_V9x57TVWLNwPsVvsTgZKI0pwmV355sUCRKqAyfRBwDWhn0UAl9-sYNFCKUJCp8G5QBGfrar1lYLltX_z83d4O13Wn5Ugvxco9o4CdxnnPJOWkTPETRgXA_1HSdEiwGNqt0A3lKYkGRXQx-XyK54lDwmOBg-Yx4ZVgUxANXLK1z91NF_6cpmSVgoE2sL0VrIHISYs4XdUCj1fL3R7DpnZdrrZhmqnTjEgkeR1C3BR5GJeSUmg-kmqjPSPnP0NYiZo9H9SGL_ewGz3wg-GKcILAa4nD7_tfdqIMbAff8PJemwJE4ONT5zAmJ69_NFj0i1X01v04E8f2NdHewPSsKO5mptk5qzWxoW3G3uUhXccxk62EydTsESf6WRwolsmphaGgVE9AwuhzQ=="}], + "role": "model"}, {"parts": [{"functionResponse": {"name": "generate_report", + "response": {"result": "# Current State of the AI Agent Market\n\n## Executive + Summary\nThe AI agent market is currently valued at $50 billion and is experiencing + a strong growth rate of 15% year-over-year. Key players in the industry are + contributing to this expansion, driven by increasing adoption across various + sectors.\n\n## Conclusion\nBased on the analysis, the market shows strong growth + potential."}}}], "role": "user"}], "systemInstruction": {"parts": [{"text": + "You are Research Analyst. An experienced analyst skilled at gathering information + and synthesizing findings into actionable insights.\nYour personal goal is: + Conduct thorough research and produce insightful reports"}], "role": "user"}, + "tools": [{"functionDeclarations": [{"description": "Search the web for information + on a given topic.\n\nArgs:\n query: The search query to look up.\n\nReturns:\n Search + results as a string.", "name": "web_search", "parameters_json_schema": {"properties": + {"query": {"title": "Query", "type": "string"}}, "required": ["query"], "type": + "object", "additionalProperties": false}}, {"description": "Read and extract + content from a website URL.\n\nArgs:\n url: The URL of the website to read.\n\nReturns:\n The + extracted content from the website.", "name": "read_website", "parameters_json_schema": + {"properties": {"url": {"title": "Url", "type": "string"}}, "required": ["url"], + "type": "object", "additionalProperties": false}}, {"description": "Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.", "name": "generate_report", "parameters_json_schema": + {"properties": {"title": {"title": "Title", "type": "string"}, "findings": {"title": + "Findings", "type": "string"}}, "required": ["title", "findings"], "type": "object", + "additionalProperties": false}}]}], "generationConfig": {"stopSequences": ["\nObservation:"]}}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - '*/*' + accept-encoding: + - ACCEPT-ENCODING-XXX + connection: + - keep-alive + content-length: + - '8941' + content-type: + - application/json + host: + - generativelanguage.googleapis.com + x-goog-api-client: + - google-genai-sdk/1.49.0 gl-python/3.13.3 + x-goog-api-key: + - X-GOOG-API-KEY-XXX + method: POST + uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent + response: + body: + string: "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": + [\n {\n \"text\": \"The research on the current state + of the AI agent market has been completed. A report has been generated with + the following key findings:\\n\\n**Current State of the AI Agent Market**\\n\\n**Executive + Summary**\\nThe AI agent market is currently valued at $50 billion and is + experiencing a strong growth rate of 15% year-over-year. Key players in the + industry are contributing to this expansion, driven by increasing adoption + across various sectors.\\n\\n**Conclusion**\\nBased on the analysis, the market + shows strong growth potential.\",\n \"thoughtSignature\": \"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\"\n + \ }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": + \"STOP\",\n \"index\": 0\n }\n ],\n \"usageMetadata\": {\n \"promptTokenCount\": + 727,\n \"candidatesTokenCount\": 108,\n \"totalTokenCount\": 910,\n + \ \"cachedContentTokenCount\": 375,\n \"promptTokensDetails\": [\n {\n + \ \"modality\": \"TEXT\",\n \"tokenCount\": 727\n }\n ],\n + \ \"cacheTokensDetails\": [\n {\n \"modality\": \"TEXT\",\n + \ \"tokenCount\": 375\n }\n ],\n \"thoughtsTokenCount\": + 75\n },\n \"modelVersion\": \"gemini-2.5-flash\",\n \"responseId\": \"kUWCabvgOafg_uMP06Ga0QI\"\n}\n" + headers: + Alt-Svc: + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Content-Type: + - application/json; charset=UTF-8 + Date: + - Tue, 03 Feb 2026 18:59:30 GMT + Server: + - scaffolding on HTTPServer2 + Server-Timing: + - gfet4t7; dur=3125 + Transfer-Encoding: + - chunked + Vary: + - Origin + - X-Origin + - Referer + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + X-Frame-Options: + - X-FRAME-OPTIONS-XXX + X-XSS-Protection: + - '0' + status: + code: 200 + message: OK +version: 1 diff --git a/lib/crewai/tests/cassettes/utilities/TestOpenAIStructuredPlanning.test_openai_research_workflow_generates_steps.yaml b/lib/crewai/tests/cassettes/utilities/TestOpenAIStructuredPlanning.test_openai_research_workflow_generates_steps.yaml new file mode 100644 index 000000000..d81dfb7c2 --- /dev/null +++ b/lib/crewai/tests/cassettes/utilities/TestOpenAIStructuredPlanning.test_openai_research_workflow_generates_steps.yaml @@ -0,0 +1,708 @@ +interactions: +- request: + body: '{"messages":[{"role":"system","content":"You are a strategic planning assistant. + Create minimal, effective execution plans. Prefer fewer steps over more."},{"role":"user","content":"Create + a focused execution plan for the following task:\n\n## Task\nResearch the current + state of the AI agent market:\n1. Search for recent information about AI agents + and their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step.\n\n## Expected Output\nComplete the task successfully\n\n## Available + Tools\nweb_search, read_website, generate_report\n\n## Instructions\nCreate + ONLY the essential steps needed to complete this task. Use the MINIMUM number + of steps required - do NOT pad your plan with unnecessary steps. Most tasks + need only 2-5 steps.\n\nFor each step:\n- State the specific action to take\n- + Specify which tool to use (if any)\n- Note dependencies on previous steps if + this step requires their output\n- If a step involves multiple items (e.g., + research 3 competitors), note this explicitly\n\nDo NOT include:\n- Setup or + preparation steps that are obvious\n- Verification steps unless critical\n- + Documentation or cleanup steps unless explicitly required\n- Generic steps like + \"review results\" or \"finalize output\"\n\nAfter your plan, state:\n- \"READY: + I am ready to execute the task.\" if the plan is complete\n- \"NOT READY: I + need to refine my plan because [reason].\" if you need more thinking"}],"model":"gpt-4o","tool_choice":"auto","tools":[{"type":"function","function":{"name":"create_reasoning_plan","description":"Create + or refine a reasoning plan for a task with structured steps","strict":true,"parameters":{"type":"object","properties":{"plan":{"type":"string","description":"A + brief summary of the overall plan."},"steps":{"type":"array","description":"List + of discrete steps to execute the plan","items":{"type":"object","properties":{"step_number":{"type":"integer","description":"Step + number (1-based)"},"description":{"type":"string","description":"What to do + in this step"},"tool_to_use":{"type":["string","null"],"description":"Tool to + use for this step, or null if no tool needed"},"depends_on":{"type":"array","items":{"type":"integer"},"description":"Step + numbers this step depends on (empty array if none)"}},"required":["step_number","description","tool_to_use","depends_on"],"additionalProperties":false}},"ready":{"type":"boolean","description":"Whether + the agent is ready to execute the task."}},"required":["plan","steps","ready"],"additionalProperties":false}}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '2619' + content-type: + - application/json + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D5Fu3HzCCoZJXtY9WqBmBv4QA4PS8\",\n \"object\": + \"chat.completion\",\n \"created\": 1770145143,\n \"model\": \"gpt-4o-2024-08-06\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n + \ \"id\": \"call_bVEiQHpiVX9FEfuWVwTe8XGj\",\n \"type\": + \"function\",\n \"function\": {\n \"name\": \"create_reasoning_plan\",\n + \ \"arguments\": \"{\\\"plan\\\":\\\"Research the current state + of the AI agent market by gathering recent market trend data, reading in-depth + content from a reliable industry source, and generating a concise report.\\\",\\\"steps\\\":[{\\\"step_number\\\":1,\\\"description\\\":\\\"Search + for recent information about AI agents and their market trends.\\\",\\\"tool_to_use\\\":\\\"web_search\\\",\\\"depends_on\\\":[]},{\\\"step_number\\\":2,\\\"description\\\":\\\"Read + detailed content from a relevant industry source found during the search.\\\",\\\"tool_to_use\\\":\\\"read_website\\\",\\\"depends_on\\\":[1]},{\\\"step_number\\\":3,\\\"description\\\":\\\"Generate + a brief report summarizing the key findings from the gathered information.\\\",\\\"tool_to_use\\\":\\\"generate_report\\\",\\\"depends_on\\\":[1,2]}],\\\"ready\\\":true}\"\n + \ }\n }\n ],\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"tool_calls\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 480,\n \"completion_tokens\": + 153,\n \"total_tokens\": 633,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_fa7f5b168b\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:05 GMT + Server: + - cloudflare + Set-Cookie: + - SET-COOKIE-XXX + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '2629' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Research Analyst. An experienced + analyst skilled at gathering information and synthesizing findings into actionable + insights.\nYour personal goal is: Conduct thorough research and produce insightful + reports"},{"role":"user","content":"\nCurrent Task: Research the current state + of the AI agent market:\n1. Search for recent information about AI agents and + their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step."}],"model":"gpt-4o","tool_choice":"auto","tools":[{"type":"function","function":{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","strict":true,"parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}}},{"type":"function","function":{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","strict":true,"parameters":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}}},{"type":"function","function":{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","strict":true,"parameters":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '1849' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D5Fu6H5Oz7CA6xtmPwoBDIAr59nyJ\",\n \"object\": + \"chat.completion\",\n \"created\": 1770145146,\n \"model\": \"gpt-4o-2024-08-06\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n + \ \"id\": \"call_QlnPEA94TbaFA83eRDhOHXRY\",\n \"type\": + \"function\",\n \"function\": {\n \"name\": \"web_search\",\n + \ \"arguments\": \"{\\\"query\\\":\\\"current state of AI agent + market 2023\\\"}\"\n }\n }\n ],\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"tool_calls\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 267,\n \"completion_tokens\": 22,\n \"total_tokens\": 289,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_fa7f5b168b\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:07 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '752' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Research Analyst. An experienced + analyst skilled at gathering information and synthesizing findings into actionable + insights.\nYour personal goal is: Conduct thorough research and produce insightful + reports"},{"role":"user","content":"\nCurrent Task: Research the current state + of the AI agent market:\n1. Search for recent information about AI agents and + their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step."},{"role":"assistant","content":null,"tool_calls":[{"id":"call_QlnPEA94TbaFA83eRDhOHXRY","type":"function","function":{"name":"web_search","arguments":"{\"query\":\"current + state of AI agent market 2023\"}"}}]},{"role":"tool","tool_call_id":"call_QlnPEA94TbaFA83eRDhOHXRY","name":"web_search","content":"Search + results for ''current state of AI agent market 2023'': Found 3 relevant articles + about the topic including market analysis, competitor data, and industry trends."}],"model":"gpt-4o","tool_choice":"auto","tools":[{"type":"function","function":{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","strict":true,"parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}}},{"type":"function","function":{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","strict":true,"parameters":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}}},{"type":"function","function":{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","strict":true,"parameters":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '2320' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D5Fu7QFl2h9pGJ0uhX6g4Fi4MMzMX\",\n \"object\": + \"chat.completion\",\n \"created\": 1770145147,\n \"model\": \"gpt-4o-2024-08-06\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n + \ \"id\": \"call_sOaxpAdq5dvpRhUJMAct2oNP\",\n \"type\": + \"function\",\n \"function\": {\n \"name\": \"read_website\",\n + \ \"arguments\": \"{\\\"url\\\": \\\"https://www.example.com/ai-agent-market-analysis-2023\\\"}\"\n + \ }\n },\n {\n \"id\": \"call_1GRSbggp4SYHg5WqAUQx5Dce\",\n + \ \"type\": \"function\",\n \"function\": {\n \"name\": + \"read_website\",\n \"arguments\": \"{\\\"url\\\": \\\"https://www.example.com/ai-agent-competitor-data-2023\\\"}\"\n + \ }\n },\n {\n \"id\": \"call_43s9ebATowN3hA5piPjL2z5N\",\n + \ \"type\": \"function\",\n \"function\": {\n \"name\": + \"read_website\",\n \"arguments\": \"{\\\"url\\\": \\\"https://www.example.com/ai-agent-industry-trends-2023\\\"}\"\n + \ }\n }\n ],\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"tool_calls\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 330,\n \"completion_tokens\": + 101,\n \"total_tokens\": 431,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_fa7f5b168b\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:09 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '1885' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Research Analyst. An experienced + analyst skilled at gathering information and synthesizing findings into actionable + insights.\nYour personal goal is: Conduct thorough research and produce insightful + reports"},{"role":"user","content":"\nCurrent Task: Research the current state + of the AI agent market:\n1. Search for recent information about AI agents and + their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step."},{"role":"assistant","content":null,"tool_calls":[{"id":"call_QlnPEA94TbaFA83eRDhOHXRY","type":"function","function":{"name":"web_search","arguments":"{\"query\":\"current + state of AI agent market 2023\"}"}}]},{"role":"tool","tool_call_id":"call_QlnPEA94TbaFA83eRDhOHXRY","name":"web_search","content":"Search + results for ''current state of AI agent market 2023'': Found 3 relevant articles + about the topic including market analysis, competitor data, and industry trends."},{"role":"assistant","content":null,"tool_calls":[{"id":"call_sOaxpAdq5dvpRhUJMAct2oNP","type":"function","function":{"name":"read_website","arguments":"{\"url\": + \"https://www.example.com/ai-agent-market-analysis-2023\"}"}},{"id":"call_1GRSbggp4SYHg5WqAUQx5Dce","type":"function","function":{"name":"read_website","arguments":"{\"url\": + \"https://www.example.com/ai-agent-competitor-data-2023\"}"}},{"id":"call_43s9ebATowN3hA5piPjL2z5N","type":"function","function":{"name":"read_website","arguments":"{\"url\": + \"https://www.example.com/ai-agent-industry-trends-2023\"}"}}]},{"role":"tool","tool_call_id":"call_sOaxpAdq5dvpRhUJMAct2oNP","name":"read_website","content":"Content + from https://www.example.com/ai-agent-market-analysis-2023: This article discusses + key insights about the topic including market size ($50B), growth rate (15% + YoY), and major players in the industry."},{"role":"tool","tool_call_id":"call_1GRSbggp4SYHg5WqAUQx5Dce","name":"read_website","content":"Content + from https://www.example.com/ai-agent-competitor-data-2023: This article discusses + key insights about the topic including market size ($50B), growth rate (15% + YoY), and major players in the industry."},{"role":"tool","tool_call_id":"call_43s9ebATowN3hA5piPjL2z5N","name":"read_website","content":"Content + from https://www.example.com/ai-agent-industry-trends-2023: This article discusses + key insights about the topic including market size ($50B), growth rate (15% + YoY), and major players in the industry."}],"model":"gpt-4o","tool_choice":"auto","tools":[{"type":"function","function":{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","strict":true,"parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}}},{"type":"function","function":{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","strict":true,"parameters":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}}},{"type":"function","function":{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","strict":true,"parameters":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '3811' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D5Fu95gX9R1zxpiJUa1wSOzIGA9CL\",\n \"object\": + \"chat.completion\",\n \"created\": 1770145149,\n \"model\": \"gpt-4o-2024-08-06\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n + \ \"id\": \"call_QjEKbvT6OnKkCOTvwTu0TmAK\",\n \"type\": + \"function\",\n \"function\": {\n \"name\": \"generate_report\",\n + \ \"arguments\": \"{\\\"title\\\":\\\"Current State of the AI + Agent Market 2023\\\",\\\"findings\\\":\\\"1. Market Size: The AI agent market + is currently valued at $50 billion.\\\\n2. Growth Rate: The industry is experiencing + a growth rate of 15% year-over-year.\\\\n3. Major Players: Significant companies + in this space include tech giants and specialized AI startups.\\\\n4. Market + Trends: The demand for AI agents is being driven by improvements in machine + learning algorithms and increasing adoption in customer service and automation + processes.\\\\n5. Competitive Landscape: The market is competitive with ongoing + innovation and investment in developing more advanced AI capabilities.\\\\n6. + Future Prospects: Continued growth is expected as businesses further integrate + AI agents into their operations for efficiency gains and customer engagement.\\\"}\"\n + \ }\n }\n ],\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"tool_calls\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 587,\n \"completion_tokens\": + 163,\n \"total_tokens\": 750,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_fa7f5b168b\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:12 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '3444' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are Research Analyst. An experienced + analyst skilled at gathering information and synthesizing findings into actionable + insights.\nYour personal goal is: Conduct thorough research and produce insightful + reports"},{"role":"user","content":"\nCurrent Task: Research the current state + of the AI agent market:\n1. Search for recent information about AI agents and + their market trends\n2. Read detailed content from a relevant industry source\n3. + Generate a brief report summarizing the key findings\n\nUse the available tools + for each step."},{"role":"assistant","content":null,"tool_calls":[{"id":"call_QlnPEA94TbaFA83eRDhOHXRY","type":"function","function":{"name":"web_search","arguments":"{\"query\":\"current + state of AI agent market 2023\"}"}}]},{"role":"tool","tool_call_id":"call_QlnPEA94TbaFA83eRDhOHXRY","name":"web_search","content":"Search + results for ''current state of AI agent market 2023'': Found 3 relevant articles + about the topic including market analysis, competitor data, and industry trends."},{"role":"assistant","content":null,"tool_calls":[{"id":"call_sOaxpAdq5dvpRhUJMAct2oNP","type":"function","function":{"name":"read_website","arguments":"{\"url\": + \"https://www.example.com/ai-agent-market-analysis-2023\"}"}},{"id":"call_1GRSbggp4SYHg5WqAUQx5Dce","type":"function","function":{"name":"read_website","arguments":"{\"url\": + \"https://www.example.com/ai-agent-competitor-data-2023\"}"}},{"id":"call_43s9ebATowN3hA5piPjL2z5N","type":"function","function":{"name":"read_website","arguments":"{\"url\": + \"https://www.example.com/ai-agent-industry-trends-2023\"}"}}]},{"role":"tool","tool_call_id":"call_sOaxpAdq5dvpRhUJMAct2oNP","name":"read_website","content":"Content + from https://www.example.com/ai-agent-market-analysis-2023: This article discusses + key insights about the topic including market size ($50B), growth rate (15% + YoY), and major players in the industry."},{"role":"tool","tool_call_id":"call_1GRSbggp4SYHg5WqAUQx5Dce","name":"read_website","content":"Content + from https://www.example.com/ai-agent-competitor-data-2023: This article discusses + key insights about the topic including market size ($50B), growth rate (15% + YoY), and major players in the industry."},{"role":"tool","tool_call_id":"call_43s9ebATowN3hA5piPjL2z5N","name":"read_website","content":"Content + from https://www.example.com/ai-agent-industry-trends-2023: This article discusses + key insights about the topic including market size ($50B), growth rate (15% + YoY), and major players in the industry."},{"role":"assistant","content":null,"tool_calls":[{"id":"call_QjEKbvT6OnKkCOTvwTu0TmAK","type":"function","function":{"name":"generate_report","arguments":"{\"title\":\"Current + State of the AI Agent Market 2023\",\"findings\":\"1. Market Size: The AI agent + market is currently valued at $50 billion.\\n2. Growth Rate: The industry is + experiencing a growth rate of 15% year-over-year.\\n3. Major Players: Significant + companies in this space include tech giants and specialized AI startups.\\n4. + Market Trends: The demand for AI agents is being driven by improvements in machine + learning algorithms and increasing adoption in customer service and automation + processes.\\n5. Competitive Landscape: The market is competitive with ongoing + innovation and investment in developing more advanced AI capabilities.\\n6. + Future Prospects: Continued growth is expected as businesses further integrate + AI agents into their operations for efficiency gains and customer engagement.\"}"}}]},{"role":"tool","tool_call_id":"call_QjEKbvT6OnKkCOTvwTu0TmAK","name":"generate_report","content":"# + Current State of the AI Agent Market 2023\n\n## Executive Summary\n1. Market + Size: The AI agent market is currently valued at $50 billion.\n2. Growth Rate: + The industry is experiencing a growth rate of 15% year-over-year.\n3. Major + Players: Significant companies in this space include tech giants and specialized + AI startups.\n4. Market Trends: The demand for AI agents is being driven by + improvements in machine learning algorithms and increasing adoption in customer + service and automation processes.\n5. Competitive Landscape: The market is competitive + with ongoing innovation and investment in developing more advanced AI capabilities.\n6. + Future Prospects: Continued growth is expected as businesses further integrate + AI agents into their operations for efficiency gains and customer engagement.\n\n## + Conclusion\nBased on the analysis, the market shows strong growth potential."}],"model":"gpt-4o","tool_choice":"auto","tools":[{"type":"function","function":{"name":"web_search","description":"Search + the web for information on a given topic.\n\nArgs:\n query: The search query + to look up.\n\nReturns:\n Search results as a string.","strict":true,"parameters":{"properties":{"query":{"title":"Query","type":"string"}},"required":["query"],"type":"object","additionalProperties":false}}},{"type":"function","function":{"name":"read_website","description":"Read + and extract content from a website URL.\n\nArgs:\n url: The URL of the website + to read.\n\nReturns:\n The extracted content from the website.","strict":true,"parameters":{"properties":{"url":{"title":"Url","type":"string"}},"required":["url"],"type":"object","additionalProperties":false}}},{"type":"function","function":{"name":"generate_report","description":"Generate + a structured report based on research findings.\n\nArgs:\n title: The title + of the report.\n findings: The research findings to include.\n\nReturns:\n A + formatted report string.","strict":true,"parameters":{"properties":{"title":{"title":"Title","type":"string"},"findings":{"title":"Findings","type":"string"}},"required":["title","findings"],"type":"object","additionalProperties":false}}}]}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '5771' + content-type: + - application/json + cookie: + - COOKIE-XXX + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D5FuCTJhAII96iBV05ECT71cV6QmJ\",\n \"object\": + \"chat.completion\",\n \"created\": 1770145152,\n \"model\": \"gpt-4o-2024-08-06\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"The research on the current state of + the AI agent market indicates a robust and rapidly growing industry. Here\u2019s + a summary of the findings:\\n\\n1. **Market Size**: The AI agent market is + currently valued at $50 billion.\\n2. **Growth Rate**: It is experiencing + a significant growth rate of 15% year-over-year.\\n3. **Major Players**: The + market is dominated by tech giants and specialized AI startups.\\n4. **Market + Trends**: The increasing adoption of machine learning algorithms and the integration + of AI in customer service and automation are key drivers.\\n5. **Competitive + Landscape**: There is substantial competition and continuous innovation in + AI capabilities.\\n6. **Future Prospects**: The sector is expected to keep + growing as businesses increasingly use AI agents for efficiency and improved + customer engagement.\\n\\nThis analysis highlights significant opportunities + in the AI agent sector, underlining its importance in future technological + advancements.\",\n \"refusal\": null,\n \"annotations\": []\n + \ },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n + \ ],\n \"usage\": {\n \"prompt_tokens\": 920,\n \"completion_tokens\": + 182,\n \"total_tokens\": 1102,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_fa7f5b168b\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Tue, 03 Feb 2026 18:59:16 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '3456' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +version: 1 diff --git a/lib/crewai/tests/utilities/test_planning_types.py b/lib/crewai/tests/utilities/test_planning_types.py new file mode 100644 index 000000000..8a84ffe50 --- /dev/null +++ b/lib/crewai/tests/utilities/test_planning_types.py @@ -0,0 +1,389 @@ +"""Tests for planning types (PlanStep, TodoItem, TodoList).""" + +import pytest +from uuid import UUID + +from crewai.utilities.planning_types import ( + PlanStep, + TodoItem, + TodoList, + TodoStatus, +) + + +class TestPlanStep: + """Tests for the PlanStep model.""" + + def test_plan_step_with_required_fields(self): + """Test PlanStep creation with only required fields.""" + step = PlanStep( + step_number=1, + description="Research the topic", + ) + + assert step.step_number == 1 + assert step.description == "Research the topic" + assert step.tool_to_use is None + assert step.depends_on == [] + + def test_plan_step_with_all_fields(self): + """Test PlanStep creation with all fields.""" + step = PlanStep( + step_number=2, + description="Search for information", + tool_to_use="search_tool", + depends_on=[1], + ) + + assert step.step_number == 2 + assert step.description == "Search for information" + assert step.tool_to_use == "search_tool" + assert step.depends_on == [1] + + def test_plan_step_with_multiple_dependencies(self): + """Test PlanStep with multiple dependencies.""" + step = PlanStep( + step_number=4, + description="Synthesize results", + depends_on=[1, 2, 3], + ) + + assert step.depends_on == [1, 2, 3] + + def test_plan_step_requires_step_number(self): + """Test that step_number is required.""" + with pytest.raises(ValueError): + PlanStep(description="Missing step number") + + def test_plan_step_requires_description(self): + """Test that description is required.""" + with pytest.raises(ValueError): + PlanStep(step_number=1) + + def test_plan_step_serialization(self): + """Test PlanStep can be serialized to dict.""" + step = PlanStep( + step_number=1, + description="Test step", + tool_to_use="test_tool", + depends_on=[], + ) + + data = step.model_dump() + assert data["step_number"] == 1 + assert data["description"] == "Test step" + assert data["tool_to_use"] == "test_tool" + assert data["depends_on"] == [] + + +class TestTodoItem: + """Tests for the TodoItem model.""" + + def test_todo_item_with_required_fields(self): + """Test TodoItem creation with only required fields.""" + todo = TodoItem( + step_number=1, + description="First task", + ) + + assert todo.step_number == 1 + assert todo.description == "First task" + assert todo.status == "pending" + assert todo.tool_to_use is None + assert todo.depends_on == [] + assert todo.result is None + # ID should be auto-generated + assert todo.id is not None + # Verify it's a valid UUID + UUID(todo.id) + + def test_todo_item_with_all_fields(self): + """Test TodoItem creation with all fields.""" + todo = TodoItem( + id="custom-id-123", + step_number=2, + description="Second task", + tool_to_use="search_tool", + status="running", + depends_on=[1], + result="Task completed", + ) + + assert todo.id == "custom-id-123" + assert todo.step_number == 2 + assert todo.description == "Second task" + assert todo.tool_to_use == "search_tool" + assert todo.status == "running" + assert todo.depends_on == [1] + assert todo.result == "Task completed" + + def test_todo_item_status_values(self): + """Test all valid status values.""" + for status in ["pending", "running", "completed"]: + todo = TodoItem( + step_number=1, + description="Test", + status=status, + ) + assert todo.status == status + + def test_todo_item_auto_generates_unique_ids(self): + """Test that each TodoItem gets a unique auto-generated ID.""" + todo1 = TodoItem(step_number=1, description="Task 1") + todo2 = TodoItem(step_number=2, description="Task 2") + + assert todo1.id != todo2.id + + def test_todo_item_serialization(self): + """Test TodoItem can be serialized to dict.""" + todo = TodoItem( + step_number=1, + description="Test task", + status="pending", + ) + + data = todo.model_dump() + assert "id" in data + assert data["step_number"] == 1 + assert data["description"] == "Test task" + assert data["status"] == "pending" + + +class TestTodoList: + """Tests for the TodoList model.""" + + @pytest.fixture + def empty_todo_list(self): + """Create an empty TodoList.""" + return TodoList() + + @pytest.fixture + def sample_todo_list(self): + """Create a TodoList with sample items.""" + return TodoList( + items=[ + TodoItem(step_number=1, description="Step 1", status="completed"), + TodoItem(step_number=2, description="Step 2", status="running"), + TodoItem(step_number=3, description="Step 3", status="pending"), + TodoItem(step_number=4, description="Step 4", status="pending"), + ] + ) + + def test_empty_todo_list(self, empty_todo_list): + """Test empty TodoList properties.""" + assert empty_todo_list.items == [] + assert empty_todo_list.current_todo is None + assert empty_todo_list.next_pending is None + assert empty_todo_list.is_complete is False + assert empty_todo_list.pending_count == 0 + assert empty_todo_list.completed_count == 0 + + def test_current_todo_property(self, sample_todo_list): + """Test current_todo returns the running item.""" + current = sample_todo_list.current_todo + assert current is not None + assert current.step_number == 2 + assert current.status == "running" + + def test_current_todo_returns_none_when_no_running(self): + """Test current_todo returns None when no running items.""" + todo_list = TodoList( + items=[ + TodoItem(step_number=1, description="Step 1", status="completed"), + TodoItem(step_number=2, description="Step 2", status="pending"), + ] + ) + assert todo_list.current_todo is None + + def test_next_pending_property(self, sample_todo_list): + """Test next_pending returns the first pending item.""" + next_item = sample_todo_list.next_pending + assert next_item is not None + assert next_item.step_number == 3 + assert next_item.status == "pending" + + def test_next_pending_returns_none_when_no_pending(self): + """Test next_pending returns None when no pending items.""" + todo_list = TodoList( + items=[ + TodoItem(step_number=1, description="Step 1", status="completed"), + TodoItem(step_number=2, description="Step 2", status="completed"), + ] + ) + assert todo_list.next_pending is None + + def test_is_complete_property_when_complete(self): + """Test is_complete returns True when all items completed.""" + todo_list = TodoList( + items=[ + TodoItem(step_number=1, description="Step 1", status="completed"), + TodoItem(step_number=2, description="Step 2", status="completed"), + ] + ) + assert todo_list.is_complete is True + + def test_is_complete_property_when_not_complete(self, sample_todo_list): + """Test is_complete returns False when items are pending.""" + assert sample_todo_list.is_complete is False + + def test_is_complete_false_for_empty_list(self, empty_todo_list): + """Test is_complete returns False for empty list.""" + assert empty_todo_list.is_complete is False + + def test_pending_count(self, sample_todo_list): + """Test pending_count returns correct count.""" + assert sample_todo_list.pending_count == 2 + + def test_completed_count(self, sample_todo_list): + """Test completed_count returns correct count.""" + assert sample_todo_list.completed_count == 1 + + def test_get_by_step_number(self, sample_todo_list): + """Test get_by_step_number returns correct item.""" + item = sample_todo_list.get_by_step_number(3) + assert item is not None + assert item.step_number == 3 + assert item.description == "Step 3" + + def test_get_by_step_number_returns_none_for_missing(self, sample_todo_list): + """Test get_by_step_number returns None for non-existent step.""" + item = sample_todo_list.get_by_step_number(99) + assert item is None + + def test_mark_running(self, sample_todo_list): + """Test mark_running changes status correctly.""" + sample_todo_list.mark_running(3) + item = sample_todo_list.get_by_step_number(3) + assert item.status == "running" + + def test_mark_running_does_nothing_for_missing(self, sample_todo_list): + """Test mark_running handles missing step gracefully.""" + # Should not raise an error + sample_todo_list.mark_running(99) + + def test_mark_completed(self, sample_todo_list): + """Test mark_completed changes status correctly.""" + sample_todo_list.mark_completed(3) + item = sample_todo_list.get_by_step_number(3) + assert item.status == "completed" + assert item.result is None + + def test_mark_completed_with_result(self, sample_todo_list): + """Test mark_completed with result.""" + sample_todo_list.mark_completed(3, result="Task output") + item = sample_todo_list.get_by_step_number(3) + assert item.status == "completed" + assert item.result == "Task output" + + def test_mark_completed_does_nothing_for_missing(self, sample_todo_list): + """Test mark_completed handles missing step gracefully.""" + # Should not raise an error + sample_todo_list.mark_completed(99, result="Some result") + + def test_todo_list_workflow(self): + """Test a complete workflow through TodoList.""" + # Create a todo list with 3 items + todo_list = TodoList( + items=[ + TodoItem( + step_number=1, + description="Research", + tool_to_use="search_tool", + ), + TodoItem( + step_number=2, + description="Analyze", + depends_on=[1], + ), + TodoItem( + step_number=3, + description="Report", + depends_on=[1, 2], + ), + ] + ) + + # Initial state + assert todo_list.pending_count == 3 + assert todo_list.completed_count == 0 + assert todo_list.is_complete is False + + # Start first task + todo_list.mark_running(1) + assert todo_list.current_todo.step_number == 1 + assert todo_list.next_pending.step_number == 2 + + # Complete first task + todo_list.mark_completed(1, result="Research done") + assert todo_list.current_todo is None + assert todo_list.completed_count == 1 + + # Start and complete second task + todo_list.mark_running(2) + todo_list.mark_completed(2, result="Analysis complete") + assert todo_list.completed_count == 2 + + # Start and complete third task + todo_list.mark_running(3) + todo_list.mark_completed(3, result="Report generated") + + # Final state + assert todo_list.is_complete is True + assert todo_list.pending_count == 0 + assert todo_list.completed_count == 3 + assert todo_list.current_todo is None + assert todo_list.next_pending is None + + +class TestTodoFromPlanStep: + """Tests for converting PlanStep to TodoItem.""" + + def test_convert_plan_step_to_todo_item(self): + """Test converting a PlanStep to TodoItem.""" + step = PlanStep( + step_number=1, + description="Search for information", + tool_to_use="search_tool", + depends_on=[], + ) + + todo = TodoItem( + step_number=step.step_number, + description=step.description, + tool_to_use=step.tool_to_use, + depends_on=step.depends_on, + status="pending", + ) + + assert todo.step_number == step.step_number + assert todo.description == step.description + assert todo.tool_to_use == step.tool_to_use + assert todo.depends_on == step.depends_on + assert todo.status == "pending" + + def test_convert_multiple_plan_steps_to_todo_list(self): + """Test converting multiple PlanSteps to a TodoList.""" + steps = [ + PlanStep(step_number=1, description="Step 1", tool_to_use="tool1"), + PlanStep(step_number=2, description="Step 2", depends_on=[1]), + PlanStep(step_number=3, description="Step 3", depends_on=[1, 2]), + ] + + todos = [] + for step in steps: + todo = TodoItem( + step_number=step.step_number, + description=step.description, + tool_to_use=step.tool_to_use, + depends_on=step.depends_on, + status="pending", + ) + todos.append(todo) + + todo_list = TodoList(items=todos) + + assert len(todo_list.items) == 3 + assert todo_list.pending_count == 3 + assert todo_list.items[0].tool_to_use == "tool1" + assert todo_list.items[1].depends_on == [1] + assert todo_list.items[2].depends_on == [1, 2] diff --git a/lib/crewai/tests/utilities/test_structured_planning.py b/lib/crewai/tests/utilities/test_structured_planning.py new file mode 100644 index 000000000..91bca9c0d --- /dev/null +++ b/lib/crewai/tests/utilities/test_structured_planning.py @@ -0,0 +1,698 @@ +"""Tests for structured planning with steps and todo generation. + +These tests verify that the planning system correctly generates structured +PlanStep objects and converts them to TodoItems across different LLM providers. +""" + +import json +import os +from unittest.mock import MagicMock, Mock, patch + +import pytest + +from crewai import Agent, PlanningConfig, Task +from crewai.llm import LLM +from crewai.utilities.planning_types import PlanStep, TodoItem, TodoList +from crewai.utilities.reasoning_handler import ( + FUNCTION_SCHEMA, + AgentReasoning, + ReasoningPlan, +) + + +class TestFunctionSchema: + """Tests for the FUNCTION_SCHEMA used in structured planning.""" + + def test_schema_has_required_structure(self): + """Test that FUNCTION_SCHEMA has the correct structure.""" + assert FUNCTION_SCHEMA["type"] == "function" + assert "function" in FUNCTION_SCHEMA + assert FUNCTION_SCHEMA["function"]["name"] == "create_reasoning_plan" + + def test_schema_parameters_structure(self): + """Test that parameters have correct structure.""" + params = FUNCTION_SCHEMA["function"]["parameters"] + assert params["type"] == "object" + assert "properties" in params + assert "required" in params + + def test_schema_has_plan_property(self): + """Test that schema includes plan property.""" + props = FUNCTION_SCHEMA["function"]["parameters"]["properties"] + assert "plan" in props + assert props["plan"]["type"] == "string" + + def test_schema_has_steps_property(self): + """Test that schema includes steps array property.""" + props = FUNCTION_SCHEMA["function"]["parameters"]["properties"] + assert "steps" in props + assert props["steps"]["type"] == "array" + + def test_schema_steps_items_structure(self): + """Test that steps items have correct structure.""" + items = FUNCTION_SCHEMA["function"]["parameters"]["properties"]["steps"]["items"] + assert items["type"] == "object" + assert "properties" in items + assert "required" in items + assert "additionalProperties" in items + assert items["additionalProperties"] is False + + def test_schema_step_properties(self): + """Test that step items have all required properties.""" + step_props = FUNCTION_SCHEMA["function"]["parameters"]["properties"]["steps"]["items"]["properties"] + + assert "step_number" in step_props + assert step_props["step_number"]["type"] == "integer" + + assert "description" in step_props + assert step_props["description"]["type"] == "string" + + assert "tool_to_use" in step_props + # tool_to_use should be nullable + assert step_props["tool_to_use"]["type"] == ["string", "null"] + + assert "depends_on" in step_props + assert step_props["depends_on"]["type"] == "array" + + def test_schema_step_required_fields(self): + """Test that step required fields are correct.""" + required = FUNCTION_SCHEMA["function"]["parameters"]["properties"]["steps"]["items"]["required"] + assert "step_number" in required + assert "description" in required + assert "tool_to_use" in required + assert "depends_on" in required + + def test_schema_has_ready_property(self): + """Test that schema includes ready property.""" + props = FUNCTION_SCHEMA["function"]["parameters"]["properties"] + assert "ready" in props + assert props["ready"]["type"] == "boolean" + + def test_schema_top_level_required(self): + """Test that top-level required fields are correct.""" + required = FUNCTION_SCHEMA["function"]["parameters"]["required"] + assert "plan" in required + assert "steps" in required + assert "ready" in required + + def test_schema_top_level_additional_properties(self): + """Test that additionalProperties is False at top level.""" + params = FUNCTION_SCHEMA["function"]["parameters"] + assert params["additionalProperties"] is False + + +class TestReasoningPlan: + """Tests for the ReasoningPlan model with structured steps.""" + + def test_reasoning_plan_with_empty_steps(self): + """Test ReasoningPlan can be created with empty steps.""" + plan = ReasoningPlan( + plan="Simple plan", + steps=[], + ready=True, + ) + + assert plan.plan == "Simple plan" + assert plan.steps == [] + assert plan.ready is True + + def test_reasoning_plan_with_steps(self): + """Test ReasoningPlan with structured steps.""" + steps = [ + PlanStep(step_number=1, description="First step", tool_to_use="tool1"), + PlanStep(step_number=2, description="Second step", depends_on=[1]), + ] + + plan = ReasoningPlan( + plan="Multi-step plan", + steps=steps, + ready=True, + ) + + assert plan.plan == "Multi-step plan" + assert len(plan.steps) == 2 + assert plan.steps[0].step_number == 1 + assert plan.steps[1].depends_on == [1] + + +class TestAgentReasoningWithMockedLLM: + """Tests for AgentReasoning with mocked LLM responses.""" + + @pytest.fixture + def mock_agent(self): + """Create a mock agent for testing.""" + agent = MagicMock() + agent.role = "Test Agent" + agent.goal = "Test goal" + agent.backstory = "Test backstory" + agent.verbose = False + agent.planning_config = PlanningConfig() + agent.i18n = MagicMock() + agent.i18n.retrieve.return_value = "Test prompt: {description}" + # Mock the llm attribute + agent.llm = MagicMock() + agent.llm.supports_function_calling.return_value = True + return agent + + def test_parse_steps_from_function_response(self, mock_agent): + """Test that steps are correctly parsed from LLM function response.""" + # Mock the LLM response with structured steps + mock_response = json.dumps({ + "plan": "Research and analyze", + "steps": [ + { + "step_number": 1, + "description": "Search for information", + "tool_to_use": "search_tool", + "depends_on": [], + }, + { + "step_number": 2, + "description": "Analyze results", + "tool_to_use": None, + "depends_on": [1], + }, + ], + "ready": True, + }) + + mock_agent.llm.call.return_value = mock_response + + handler = AgentReasoning( + agent=mock_agent, + task=None, + description="Test task", + expected_output="Test output", + ) + + # Call the function parsing method + plan, steps, ready = handler._call_with_function( + prompt="Test prompt", + plan_type="create_plan", + ) + + assert plan == "Research and analyze" + assert len(steps) == 2 + assert steps[0].step_number == 1 + assert steps[0].tool_to_use == "search_tool" + assert steps[1].depends_on == [1] + assert ready is True + + def test_parse_steps_handles_missing_optional_fields(self, mock_agent): + """Test that missing optional fields are handled correctly.""" + mock_response = json.dumps({ + "plan": "Simple plan", + "steps": [ + { + "step_number": 1, + "description": "Do something", + "tool_to_use": None, + "depends_on": [], + }, + ], + "ready": True, + }) + + mock_agent.llm.call.return_value = mock_response + + handler = AgentReasoning( + agent=mock_agent, + task=None, + description="Test task", + expected_output="Test output", + ) + + plan, steps, ready = handler._call_with_function( + prompt="Test prompt", + plan_type="create_plan", + ) + + assert len(steps) == 1 + assert steps[0].tool_to_use is None + assert steps[0].depends_on == [] + + def test_parse_steps_with_missing_fields_uses_defaults(self, mock_agent): + """Test that steps with missing fields get default values.""" + mock_response = json.dumps({ + "plan": "Plan with step missing fields", + "steps": [ + {"step_number": 1, "description": "Valid step", "tool_to_use": None, "depends_on": []}, + {"step_number": 2}, # Missing description, tool_to_use, depends_on + {"step_number": 3, "description": "Another valid", "tool_to_use": None, "depends_on": []}, + ], + "ready": True, + }) + + mock_agent.llm.call.return_value = mock_response + + handler = AgentReasoning( + agent=mock_agent, + task=None, + description="Test task", + expected_output="Test output", + ) + + plan, steps, ready = handler._call_with_function( + prompt="Test prompt", + plan_type="create_plan", + ) + + # All 3 steps should be parsed, with defaults for missing fields + assert len(steps) == 3 + assert steps[0].step_number == 1 + assert steps[0].description == "Valid step" + assert steps[1].step_number == 2 + assert steps[1].description == "" # Default value + assert steps[2].step_number == 3 + + +class TestTodoCreationFromPlan: + """Tests for converting plan steps to todo items.""" + + def test_create_todos_from_plan_steps(self): + """Test creating TodoList from PlanSteps.""" + steps = [ + PlanStep( + step_number=1, + description="Research competitors", + tool_to_use="search_tool", + depends_on=[], + ), + PlanStep( + step_number=2, + description="Analyze data", + tool_to_use=None, + depends_on=[1], + ), + PlanStep( + step_number=3, + description="Generate report", + tool_to_use="write_tool", + depends_on=[1, 2], + ), + ] + + # Convert steps to todos (mirroring agent_executor._create_todos_from_plan) + todos = [] + for step in steps: + todo = TodoItem( + step_number=step.step_number, + description=step.description, + tool_to_use=step.tool_to_use, + depends_on=step.depends_on, + status="pending", + ) + todos.append(todo) + + todo_list = TodoList(items=todos) + + assert len(todo_list.items) == 3 + assert todo_list.pending_count == 3 + assert todo_list.completed_count == 0 + + # Verify todo properties match step properties + assert todo_list.items[0].description == "Research competitors" + assert todo_list.items[0].tool_to_use == "search_tool" + assert todo_list.items[1].depends_on == [1] + assert todo_list.items[2].depends_on == [1, 2] + + +# ============================================================================= +# Provider-Specific Integration Tests (VCR recorded) +# ============================================================================= + + +# Common test tools used across provider tests +def create_research_tools(): + """Create research tools for testing structured planning.""" + from crewai.tools import tool + + @tool + def web_search(query: str) -> str: + """Search the web for information on a given topic. + + Args: + query: The search query to look up. + + Returns: + Search results as a string. + """ + # Simulated search results for testing + return f"Search results for '{query}': Found 3 relevant articles about the topic including market analysis, competitor data, and industry trends." + + @tool + def read_website(url: str) -> str: + """Read and extract content from a website URL. + + Args: + url: The URL of the website to read. + + Returns: + The extracted content from the website. + """ + # Simulated website content for testing + return f"Content from {url}: This article discusses key insights about the topic including market size ($50B), growth rate (15% YoY), and major players in the industry." + + @tool + def generate_report(title: str, findings: str) -> str: + """Generate a structured report based on research findings. + + Args: + title: The title of the report. + findings: The research findings to include. + + Returns: + A formatted report string. + """ + return f"# {title}\n\n## Executive Summary\n{findings}\n\n## Conclusion\nBased on the analysis, the market shows strong growth potential." + + return web_search, read_website, generate_report + + +RESEARCH_TASK = """Research the current state of the AI agent market: +1. Search for recent information about AI agents and their market trends +2. Read detailed content from a relevant industry source +3. Generate a brief report summarizing the key findings + +Use the available tools for each step.""" + + +class TestOpenAIStructuredPlanning: + """Integration tests for OpenAI structured planning with research workflow.""" + + @pytest.mark.vcr() + def test_openai_research_workflow_generates_steps(self): + """Test that OpenAI generates structured plan steps for a research task.""" + web_search, read_website, generate_report = create_research_tools() + llm = LLM(model="gpt-4o") + + agent = Agent( + role="Research Analyst", + goal="Conduct thorough research and produce insightful reports", + backstory="An experienced analyst skilled at gathering information and synthesizing findings into actionable insights.", + llm=llm, + tools=[web_search, read_website, generate_report], + planning_config=PlanningConfig(max_attempts=1), + verbose=False, + ) + + result = agent.kickoff(RESEARCH_TASK) + + # Verify result exists + assert result is not None + assert result.raw is not None + # The result should contain some report-like content + assert len(str(result.raw)) > 50 + + +class TestAnthropicStructuredPlanning: + """Integration tests for Anthropic structured planning with research workflow.""" + + @pytest.fixture(autouse=True) + def mock_anthropic_api_key(self): + """Mock API key if not set.""" + if "ANTHROPIC_API_KEY" not in os.environ: + with patch.dict(os.environ, {"ANTHROPIC_API_KEY": "test-key"}): + yield + else: + yield + + @pytest.mark.vcr() + def test_anthropic_research_workflow_generates_steps(self): + """Test that Anthropic generates structured plan steps for a research task.""" + web_search, read_website, generate_report = create_research_tools() + llm = LLM(model="anthropic/claude-sonnet-4-20250514") + + agent = Agent( + role="Research Analyst", + goal="Conduct thorough research and produce insightful reports", + backstory="An experienced analyst skilled at gathering information and synthesizing findings into actionable insights.", + llm=llm, + tools=[web_search, read_website, generate_report], + planning_config=PlanningConfig(max_attempts=1), + verbose=False, + ) + + result = agent.kickoff(RESEARCH_TASK) + + # Verify result exists + assert result is not None + assert result.raw is not None + # The result should contain some report-like content + assert len(str(result.raw)) > 50 + + +class TestGeminiStructuredPlanning: + """Integration tests for Google Gemini structured planning with research workflow.""" + + @pytest.fixture(autouse=True) + def mock_google_api_key(self): + """Mock API key if not set.""" + if "GOOGLE_API_KEY" not in os.environ and "GEMINI_API_KEY" not in os.environ: + with patch.dict(os.environ, {"GOOGLE_API_KEY": "test-key"}): + yield + else: + yield + + @pytest.mark.vcr() + def test_gemini_research_workflow_generates_steps(self): + """Test that Gemini generates structured plan steps for a research task.""" + web_search, read_website, generate_report = create_research_tools() + llm = LLM(model="gemini/gemini-2.5-flash") + + agent = Agent( + role="Research Analyst", + goal="Conduct thorough research and produce insightful reports", + backstory="An experienced analyst skilled at gathering information and synthesizing findings into actionable insights.", + llm=llm, + tools=[web_search, read_website, generate_report], + planning_config=PlanningConfig(max_attempts=1), + verbose=False, + ) + + result = agent.kickoff(RESEARCH_TASK) + + # Verify result exists + assert result is not None + assert result.raw is not None + # The result should contain some report-like content + assert len(str(result.raw)) > 50 + + +class TestAzureStructuredPlanning: + """Integration tests for Azure OpenAI structured planning with research workflow.""" + + @pytest.fixture(autouse=True) + def mock_azure_credentials(self): + """Mock Azure credentials for tests.""" + if "AZURE_API_KEY" not in os.environ: + with patch.dict(os.environ, { + "AZURE_API_KEY": "test-key", + "AZURE_ENDPOINT": "https://test.openai.azure.com" + }): + yield + else: + yield + + @pytest.mark.vcr() + def test_azure_research_workflow_generates_steps(self): + """Test that Azure OpenAI generates structured plan steps for a research task.""" + web_search, read_website, generate_report = create_research_tools() + llm = LLM(model="azure/gpt-4o") + + agent = Agent( + role="Research Analyst", + goal="Conduct thorough research and produce insightful reports", + backstory="An experienced analyst skilled at gathering information and synthesizing findings into actionable insights.", + llm=llm, + tools=[web_search, read_website, generate_report], + planning_config=PlanningConfig(max_attempts=1), + verbose=False, + ) + + result = agent.kickoff(RESEARCH_TASK) + + # Verify result exists + assert result is not None + assert result.raw is not None + # The result should contain some report-like content + assert len(str(result.raw)) > 50 + + +# ============================================================================= +# Unit Tests with Mocked LLM Providers +# ============================================================================= + + +class TestStructuredPlanningWithMockedProviders: + """Unit tests with mocked LLM providers for faster execution.""" + + def _create_mock_plan_response(self, steps_data): + """Helper to create mock plan response.""" + return json.dumps({ + "plan": "Test plan", + "steps": steps_data, + "ready": True, + }) + + def test_openai_mock_structured_response(self): + """Test parsing OpenAI structured response.""" + steps_data = [ + {"step_number": 1, "description": "Search", "tool_to_use": "search", "depends_on": []}, + {"step_number": 2, "description": "Analyze", "tool_to_use": None, "depends_on": [1]}, + ] + + response = self._create_mock_plan_response(steps_data) + parsed = json.loads(response) + + assert len(parsed["steps"]) == 2 + assert parsed["steps"][0]["tool_to_use"] == "search" + assert parsed["steps"][1]["depends_on"] == [1] + + def test_anthropic_mock_structured_response(self): + """Test parsing Anthropic structured response (same format).""" + steps_data = [ + {"step_number": 1, "description": "Research", "tool_to_use": "web_search", "depends_on": []}, + {"step_number": 2, "description": "Summarize", "tool_to_use": None, "depends_on": [1]}, + {"step_number": 3, "description": "Report", "tool_to_use": "write_file", "depends_on": [1, 2]}, + ] + + response = self._create_mock_plan_response(steps_data) + parsed = json.loads(response) + + assert len(parsed["steps"]) == 3 + assert parsed["steps"][2]["depends_on"] == [1, 2] + + def test_gemini_mock_structured_response(self): + """Test parsing Gemini structured response (same format).""" + steps_data = [ + {"step_number": 1, "description": "Gather data", "tool_to_use": "data_tool", "depends_on": []}, + {"step_number": 2, "description": "Process", "tool_to_use": None, "depends_on": [1]}, + ] + + response = self._create_mock_plan_response(steps_data) + parsed = json.loads(response) + + assert len(parsed["steps"]) == 2 + assert parsed["ready"] is True + + def test_azure_mock_structured_response(self): + """Test parsing Azure OpenAI structured response (same format as OpenAI).""" + steps_data = [ + {"step_number": 1, "description": "Initialize", "tool_to_use": None, "depends_on": []}, + {"step_number": 2, "description": "Execute", "tool_to_use": "executor", "depends_on": [1]}, + {"step_number": 3, "description": "Finalize", "tool_to_use": None, "depends_on": [1, 2]}, + ] + + response = self._create_mock_plan_response(steps_data) + parsed = json.loads(response) + + assert len(parsed["steps"]) == 3 + assert parsed["steps"][0]["tool_to_use"] is None + + +class TestTodoListIntegration: + """Integration tests for TodoList with plan execution simulation.""" + + def test_full_plan_execution_workflow(self): + """Test complete workflow from plan to todos to execution.""" + # Simulate plan steps from LLM + plan_steps = [ + PlanStep( + step_number=1, + description="Research the topic", + tool_to_use="search_tool", + depends_on=[], + ), + PlanStep( + step_number=2, + description="Compile findings", + tool_to_use=None, + depends_on=[1], + ), + PlanStep( + step_number=3, + description="Generate summary", + tool_to_use="summarize_tool", + depends_on=[1, 2], + ), + ] + + # Convert to todos (like agent_executor._create_todos_from_plan) + todos = [ + TodoItem( + step_number=step.step_number, + description=step.description, + tool_to_use=step.tool_to_use, + depends_on=step.depends_on, + status="pending", + ) + for step in plan_steps + ] + todo_list = TodoList(items=todos) + + # Verify initial state + assert todo_list.pending_count == 3 + assert todo_list.is_complete is False + + # Simulate execution + for i in range(1, 4): + todo_list.mark_running(i) + assert todo_list.current_todo.step_number == i + todo_list.mark_completed(i, result=f"Step {i} completed") + + # Verify final state + assert todo_list.is_complete is True + assert todo_list.completed_count == 3 + assert all(item.result is not None for item in todo_list.items) + + def test_dependency_aware_execution(self): + """Test that dependencies are respected in execution order.""" + steps = [ + PlanStep(step_number=1, description="Base step", depends_on=[]), + PlanStep(step_number=2, description="Depends on 1", depends_on=[1]), + PlanStep(step_number=3, description="Depends on 1", depends_on=[1]), + PlanStep(step_number=4, description="Depends on 2 and 3", depends_on=[2, 3]), + ] + + todos = [ + TodoItem( + step_number=s.step_number, + description=s.description, + depends_on=s.depends_on, + ) + for s in steps + ] + todo_list = TodoList(items=todos) + + # Helper to check if dependencies are satisfied + def can_execute(todo: TodoItem) -> bool: + for dep in todo.depends_on: + dep_todo = todo_list.get_by_step_number(dep) + if dep_todo and dep_todo.status != "completed": + return False + return True + + # Step 1 has no dependencies + assert can_execute(todo_list.items[0]) is True + + # Steps 2 and 3 depend on 1 (not yet done) + assert can_execute(todo_list.items[1]) is False + assert can_execute(todo_list.items[2]) is False + + # Complete step 1 + todo_list.mark_completed(1) + + # Now steps 2 and 3 can execute + assert can_execute(todo_list.items[1]) is True + assert can_execute(todo_list.items[2]) is True + + # Step 4 still can't (depends on 2 and 3) + assert can_execute(todo_list.items[3]) is False + + # Complete steps 2 and 3 + todo_list.mark_completed(2) + todo_list.mark_completed(3) + + # Now step 4 can execute + assert can_execute(todo_list.items[3]) is True