ci: trigger test matrix

Co-Authored-By: João <joao@crewai.com>

lib/crewai/src/crewai/a2a/utils.py

@@ -753,3 +753,99 @@ def get_a2a_agents_and_response_model(
     """
     a2a_agents, agent_ids = extract_a2a_agent_ids_from_config(a2a_config=a2a_config)
     return a2a_agents, create_agent_response_model(agent_ids)
+
+
+def extract_agent_identifiers_from_cards(
+    a2a_agents: list[A2AConfig],
+    agent_cards: dict[str, AgentCard],
+) -> tuple[str, ...]:
+    """Extract all valid agent identifiers (endpoints and skill IDs) from agent cards.
+
+    Args:
+        a2a_agents: List of A2A agent configurations
+        agent_cards: Dictionary mapping endpoints to AgentCards
+
+    Returns:
+        Tuple of all valid identifiers (endpoints + skill IDs)
+    """
+    identifiers = set()
+
+    for config in a2a_agents:
+        identifiers.add(config.endpoint)
+
+    for card in agent_cards.values():
+        if card.skills:
+            for skill in card.skills:
+                identifiers.add(skill.id)
+
+    return tuple(sorted(identifiers))
+
+
+def resolve_agent_identifier(
+    identifier: str,
+    a2a_agents: list[A2AConfig],
+    agent_cards: dict[str, AgentCard],
+) -> str:
+    """Resolve an agent identifier (endpoint or skill ID) to a canonical endpoint.
+
+    This function allows both endpoint URLs and skill IDs to be used as agent identifiers.
+    If the identifier is already an endpoint, it's returned as-is. If it's a skill ID,
+    it's resolved to the endpoint of the agent card that contains that skill.
+
+    Args:
+        identifier: Either an endpoint URL or a skill ID
+        a2a_agents: List of A2A agent configurations
+        agent_cards: Dictionary mapping endpoints to AgentCards
+
+    Returns:
+        The canonical endpoint URL
+
+    Raises:
+        ValueError: If the identifier is unknown or ambiguous (matches multiple agents)
+
+    Examples:
+        >>> # Endpoint passthrough
+        >>> resolve_agent_identifier(
+        ...     "http://localhost:10001/.well-known/agent-card.json",
+        ...     a2a_agents,
+        ...     agent_cards
+        ... )
+        'http://localhost:10001/.well-known/agent-card.json'
+
+        >>> # Skill ID resolution
+        >>> resolve_agent_identifier("Research", a2a_agents, agent_cards)
+        'http://localhost:10001/.well-known/agent-card.json'
+    """
+    endpoints = {config.endpoint for config in a2a_agents}
+    if identifier in endpoints:
+        return identifier
+
+    matching_endpoints: list[str] = []
+    for endpoint, card in agent_cards.items():
+        if card.skills:
+            for skill in card.skills:
+                if skill.id == identifier:
+                    matching_endpoints.append(endpoint)
+                    break
+
+    if len(matching_endpoints) == 0:
+        available_endpoints = ", ".join(sorted(endpoints))
+        available_skill_ids = []
+        for card in agent_cards.values():
+            if card.skills:
+                available_skill_ids.extend([skill.id for skill in card.skills])
+        available_skills = ", ".join(sorted(set(available_skill_ids))) if available_skill_ids else "none"
+        raise ValueError(
+            f"Unknown A2A agent identifier '{identifier}'. "
+            f"Available endpoints: {available_endpoints}. "
+            f"Available skill IDs: {available_skills}."
+        )
+
+    if len(matching_endpoints) > 1:
+        endpoints_list = ", ".join(sorted(matching_endpoints))
+        raise ValueError(
+            f"Ambiguous skill ID '{identifier}' found in multiple agents: {endpoints_list}. "
+            f"Please use the specific endpoint URL to disambiguate."
+        )
+
+    return matching_endpoints[0]

lib/crewai/src/crewai/a2a/wrapper.py

@@ -23,9 +23,12 @@ from crewai.a2a.templates import (
 )
 from crewai.a2a.types import AgentResponseProtocol
 from crewai.a2a.utils import (
+    create_agent_response_model,
     execute_a2a_delegation,
+    extract_agent_identifiers_from_cards,
     fetch_agent_card,
     get_a2a_agents_and_response_model,
+    resolve_agent_identifier,
 )
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.a2a_events import (
@@ -190,6 +193,9 @@ def _execute_task_with_a2a(
         finally:
             task.description = original_description
 
+    agent_identifiers = extract_agent_identifiers_from_cards(a2a_agents, agent_cards)
+    agent_response_model = create_agent_response_model(agent_identifiers)
+
     task.description = _augment_prompt_with_a2a(
         a2a_agents=a2a_agents,
         task_description=original_description,
@@ -301,6 +307,13 @@ def _augment_prompt_with_a2a(
 IMPORTANT: You have the ability to delegate this task to remote A2A agents.
 
 {agents_text}
+
+AGENT IDENTIFICATION: When setting a2a_ids, you may use either:
+1. The agent's endpoint URL (e.g., "http://localhost:10001/.well-known/agent-card.json")
+2. The exact skill.id from the agent's skills list (e.g., "Research")
+
+Prefer using endpoint URLs when possible to avoid ambiguity. If a skill.id appears on multiple agents, you MUST use the endpoint URL to specify which agent you want.
+
 {history_text}{turn_info}
 
 
@@ -373,6 +386,9 @@ def _handle_agent_response_and_continue(
     if "agent_card" in a2a_result and agent_id not in agent_cards_dict:
         agent_cards_dict[agent_id] = a2a_result["agent_card"]
 
+    agent_identifiers = extract_agent_identifiers_from_cards(a2a_agents, agent_cards_dict)
+    agent_response_model = create_agent_response_model(agent_identifiers)
+
     task.description = _augment_prompt_with_a2a(
         a2a_agents=a2a_agents,
         task_description=original_task_description,
@@ -445,16 +461,20 @@ def _delegate_to_a2a(
         ImportError: If a2a-sdk is not installed
     """
     a2a_agents, agent_response_model = get_a2a_agents_and_response_model(self.a2a)
-    agent_ids = tuple(config.endpoint for config in a2a_agents)
     current_request = str(agent_response.message)
-    agent_id = agent_response.a2a_ids[0]
+    agent_identifier = agent_response.a2a_ids[0]
 
-    if agent_id not in agent_ids:
-        raise ValueError(
-            f"Unknown A2A agent ID(s): {agent_response.a2a_ids} not in {agent_ids}"
+    agent_cards_dict = agent_cards or {}
+    try:
+        agent_endpoint = resolve_agent_identifier(
+            agent_identifier, a2a_agents, agent_cards_dict
         )
+    except ValueError as e:
+        raise ValueError(
+            f"Failed to resolve A2A agent identifier '{agent_identifier}': {e}"
+        ) from e
 
-    agent_config = next(filter(lambda x: x.endpoint == agent_id, a2a_agents))
+    agent_config = next(filter(lambda x: x.endpoint == agent_endpoint, a2a_agents))
     task_config = task.config or {}
     context_id = task_config.get("context_id")
     task_id_config = task_config.get("task_id")
@@ -488,7 +508,7 @@ def _delegate_to_a2a(
                 metadata=metadata,
                 extensions=extensions,
                 conversation_history=conversation_history,
-                agent_id=agent_id,
+                agent_id=agent_endpoint,
                 agent_role=Role.user,
                 agent_branch=agent_branch,
                 response_model=agent_config.response_model,
@@ -501,7 +521,7 @@ def _delegate_to_a2a(
                 final_result, next_request = _handle_agent_response_and_continue(
                     self=self,
                     a2a_result=a2a_result,
-                    agent_id=agent_id,
+                    agent_id=agent_endpoint,
                     agent_cards=agent_cards,
                     a2a_agents=a2a_agents,
                     original_task_description=original_task_description,

lib/crewai/tests/a2a/test_resolve_agent_identifier.py

@@ -0,0 +1,245 @@
+"""Test resolve_agent_identifier function for A2A skill ID resolution."""
+
+import pytest
+from a2a.types import AgentCapabilities, AgentCard, AgentSkill
+
+from crewai.a2a.config import A2AConfig
+from crewai.a2a.utils import resolve_agent_identifier
+
+
+@pytest.fixture
+def sample_agent_configs():
+    """Create sample A2A agent configurations."""
+    return [
+        A2AConfig(endpoint="http://localhost:10001/.well-known/agent-card.json"),
+        A2AConfig(endpoint="http://localhost:10002/.well-known/agent-card.json"),
+    ]
+
+
+@pytest.fixture
+def sample_agent_cards():
+    """Create sample AgentCards with skills."""
+    card1 = AgentCard(
+        name="Research Agent",
+        description="An expert research agent",
+        url="http://localhost:10001",
+        version="1.0.0",
+        capabilities=AgentCapabilities(),
+        default_input_modes=["text/plain"],
+        default_output_modes=["text/plain"],
+        skills=[
+            AgentSkill(
+                id="Research",
+                name="Research",
+                description="Conduct comprehensive research",
+                tags=["research", "analysis"],
+                examples=["Research quantum computing"],
+            )
+        ],
+    )
+
+    card2 = AgentCard(
+        name="Writing Agent",
+        description="An expert writing agent",
+        url="http://localhost:10002",
+        version="1.0.0",
+        capabilities=AgentCapabilities(),
+        default_input_modes=["text/plain"],
+        default_output_modes=["text/plain"],
+        skills=[
+            AgentSkill(
+                id="Writing",
+                name="Writing",
+                description="Write high-quality content",
+                tags=["writing", "content"],
+                examples=["Write a blog post"],
+            )
+        ],
+    )
+
+    return {
+        "http://localhost:10001/.well-known/agent-card.json": card1,
+        "http://localhost:10002/.well-known/agent-card.json": card2,
+    }
+
+
+def test_resolve_endpoint_passthrough(sample_agent_configs, sample_agent_cards):
+    """Test that endpoint URLs are returned as-is."""
+    endpoint = "http://localhost:10001/.well-known/agent-card.json"
+    result = resolve_agent_identifier(endpoint, sample_agent_configs, sample_agent_cards)
+    assert result == endpoint
+
+
+def test_resolve_unique_skill_id(sample_agent_configs, sample_agent_cards):
+    """Test that a unique skill ID resolves to the correct endpoint."""
+    result = resolve_agent_identifier("Research", sample_agent_configs, sample_agent_cards)
+    assert result == "http://localhost:10001/.well-known/agent-card.json"
+
+    result = resolve_agent_identifier("Writing", sample_agent_configs, sample_agent_cards)
+    assert result == "http://localhost:10002/.well-known/agent-card.json"
+
+
+def test_resolve_unknown_identifier(sample_agent_configs, sample_agent_cards):
+    """Test that unknown identifiers raise a descriptive error."""
+    with pytest.raises(ValueError) as exc_info:
+        resolve_agent_identifier("UnknownSkill", sample_agent_configs, sample_agent_cards)
+
+    error_msg = str(exc_info.value)
+    assert "Unknown A2A agent identifier 'UnknownSkill'" in error_msg
+    assert "Available endpoints:" in error_msg
+    assert "Available skill IDs:" in error_msg
+    assert "Research" in error_msg
+    assert "Writing" in error_msg
+
+
+def test_resolve_ambiguous_skill_id():
+    """Test that ambiguous skill IDs raise a descriptive error."""
+    configs = [
+        A2AConfig(endpoint="http://localhost:10001/.well-known/agent-card.json"),
+        A2AConfig(endpoint="http://localhost:10002/.well-known/agent-card.json"),
+    ]
+
+    card1 = AgentCard(
+        name="Research Agent 1",
+        description="First research agent",
+        url="http://localhost:10001",
+        version="1.0.0",
+        capabilities=AgentCapabilities(),
+        default_input_modes=["text/plain"],
+        default_output_modes=["text/plain"],
+        skills=[
+            AgentSkill(
+                id="Research",
+                name="Research",
+                description="Conduct research",
+                tags=["research"],
+                examples=["Research topic"],
+            )
+        ],
+    )
+
+    card2 = AgentCard(
+        name="Research Agent 2",
+        description="Second research agent",
+        url="http://localhost:10002",
+        version="1.0.0",
+        capabilities=AgentCapabilities(),
+        default_input_modes=["text/plain"],
+        default_output_modes=["text/plain"],
+        skills=[
+            AgentSkill(
+                id="Research",
+                name="Research",
+                description="Conduct research",
+                tags=["research"],
+                examples=["Research topic"],
+            )
+        ],
+    )
+
+    cards = {
+        "http://localhost:10001/.well-known/agent-card.json": card1,
+        "http://localhost:10002/.well-known/agent-card.json": card2,
+    }
+
+    with pytest.raises(ValueError) as exc_info:
+        resolve_agent_identifier("Research", configs, cards)
+
+    error_msg = str(exc_info.value)
+    assert "Ambiguous skill ID 'Research'" in error_msg
+    assert "found in multiple agents" in error_msg
+    assert "http://localhost:10001/.well-known/agent-card.json" in error_msg
+    assert "http://localhost:10002/.well-known/agent-card.json" in error_msg
+    assert "Please use the specific endpoint URL to disambiguate" in error_msg
+
+
+def test_resolve_with_no_skills():
+    """Test resolution when agent cards have no skills."""
+    configs = [
+        A2AConfig(endpoint="http://localhost:10001/.well-known/agent-card.json"),
+    ]
+
+    card = AgentCard(
+        name="Agent Without Skills",
+        description="An agent without skills",
+        url="http://localhost:10001",
+        version="1.0.0",
+        capabilities=AgentCapabilities(),
+        default_input_modes=["text/plain"],
+        default_output_modes=["text/plain"],
+        skills=[],
+    )
+
+    cards = {
+        "http://localhost:10001/.well-known/agent-card.json": card,
+    }
+
+    result = resolve_agent_identifier(
+        "http://localhost:10001/.well-known/agent-card.json", configs, cards
+    )
+    assert result == "http://localhost:10001/.well-known/agent-card.json"
+
+    with pytest.raises(ValueError) as exc_info:
+        resolve_agent_identifier("SomeSkill", configs, cards)
+
+    error_msg = str(exc_info.value)
+    assert "Unknown A2A agent identifier 'SomeSkill'" in error_msg
+    assert "Available skill IDs: none" in error_msg
+
+
+def test_resolve_with_multiple_skills_same_card(sample_agent_configs):
+    """Test resolution when a card has multiple skills."""
+    card = AgentCard(
+        name="Multi-Skill Agent",
+        description="An agent with multiple skills",
+        url="http://localhost:10001",
+        version="1.0.0",
+        capabilities=AgentCapabilities(),
+        default_input_modes=["text/plain"],
+        default_output_modes=["text/plain"],
+        skills=[
+            AgentSkill(
+                id="Research",
+                name="Research",
+                description="Conduct research",
+                tags=["research"],
+                examples=["Research topic"],
+            ),
+            AgentSkill(
+                id="Analysis",
+                name="Analysis",
+                description="Analyze data",
+                tags=["analysis"],
+                examples=["Analyze data"],
+            ),
+        ],
+    )
+
+    cards = {
+        "http://localhost:10001/.well-known/agent-card.json": card,
+    }
+
+    result1 = resolve_agent_identifier("Research", sample_agent_configs[:1], cards)
+    assert result1 == "http://localhost:10001/.well-known/agent-card.json"
+
+    result2 = resolve_agent_identifier("Analysis", sample_agent_configs[:1], cards)
+    assert result2 == "http://localhost:10001/.well-known/agent-card.json"
+
+
+def test_resolve_empty_agent_cards():
+    """Test resolution with empty agent cards dictionary."""
+    configs = [
+        A2AConfig(endpoint="http://localhost:10001/.well-known/agent-card.json"),
+    ]
+    cards = {}
+
+    result = resolve_agent_identifier(
+        "http://localhost:10001/.well-known/agent-card.json", configs, cards
+    )
+    assert result == "http://localhost:10001/.well-known/agent-card.json"
+
+    with pytest.raises(ValueError) as exc_info:
+        resolve_agent_identifier("SomeSkill", configs, cards)
+
+    error_msg = str(exc_info.value)
+    assert "Unknown A2A agent identifier 'SomeSkill'" in error_msg

lib/crewai/tests/a2a/test_skill_id_integration.py

@@ -0,0 +1,287 @@
+"""Integration test for A2A skill ID resolution (issue #3897)."""
+
+import pytest
+from a2a.types import AgentCapabilities, AgentCard, AgentSkill
+from pydantic import BaseModel
+
+from crewai.a2a.config import A2AConfig
+from crewai.a2a.utils import (
+    create_agent_response_model,
+    extract_agent_identifiers_from_cards,
+    resolve_agent_identifier,
+)
+
+
+def test_skill_id_resolution_integration():
+    """Test the complete flow of skill ID resolution as described in issue #3897.
+    
+    This test replicates the exact scenario from the bug report:
+    1. User creates A2A config with endpoint URL
+    2. Remote agent has AgentCard with skill.id="Research"
+    3. LLM returns a2a_ids=["Research"] instead of the endpoint URL
+    4. System should resolve "Research" to the endpoint and proceed successfully
+    """
+    a2a_config = A2AConfig(
+        endpoint="http://localhost:10001/.well-known/agent-card.json"
+    )
+    a2a_agents = [a2a_config]
+    
+    agent_card = AgentCard(
+        name="Research Agent",
+        description="An expert research agent that can conduct thorough research",
+        url="http://localhost:10001",
+        version="1.0.0",
+        capabilities=AgentCapabilities(),
+        default_input_modes=["text/plain"],
+        default_output_modes=["text/plain"],
+        skills=[
+            AgentSkill(
+                id="Research",
+                name="Research",
+                description="Conduct comprehensive research on any topic",
+                tags=["research", "analysis", "information-gathering"],
+                examples=[
+                    "Research the latest developments in quantum computing",
+                    "What are the current trends in renewable energy?",
+                ],
+            )
+        ],
+    )
+    
+    agent_cards = {
+        "http://localhost:10001/.well-known/agent-card.json": agent_card
+    }
+    
+    identifiers = extract_agent_identifiers_from_cards(a2a_agents, agent_cards)
+    
+    assert "http://localhost:10001/.well-known/agent-card.json" in identifiers
+    assert "Research" in identifiers
+    
+    agent_response_model = create_agent_response_model(identifiers)
+    
+    agent_response_data = {
+        "a2a_ids": ["Research"],  # LLM uses skill ID instead of endpoint
+        "message": "Please research quantum computing developments",
+        "is_a2a": True,
+    }
+    
+    agent_response = agent_response_model.model_validate(agent_response_data)
+    assert agent_response.a2a_ids == ("Research",)
+    assert agent_response.message == "Please research quantum computing developments"
+    assert agent_response.is_a2a is True
+    
+    resolved_endpoint = resolve_agent_identifier(
+        "Research", a2a_agents, agent_cards
+    )
+    assert resolved_endpoint == "http://localhost:10001/.well-known/agent-card.json"
+    
+    resolved_endpoint_direct = resolve_agent_identifier(
+        "http://localhost:10001/.well-known/agent-card.json",
+        a2a_agents,
+        agent_cards,
+    )
+    assert resolved_endpoint_direct == "http://localhost:10001/.well-known/agent-card.json"
+
+
+def test_skill_id_validation_error_before_fix():
+    """Test that demonstrates the original bug (for documentation purposes).
+    
+    Before the fix, creating an AgentResponse model with only endpoints
+    would cause a validation error when the LLM returned a skill ID.
+    """
+    endpoints_only = ("http://localhost:10001/.well-known/agent-card.json",)
+    agent_response_model_old = create_agent_response_model(endpoints_only)
+    
+    agent_response_data = {
+        "a2a_ids": ["Research"],
+        "message": "Please research quantum computing",
+        "is_a2a": True,
+    }
+    
+    with pytest.raises(Exception) as exc_info:
+        agent_response_model_old.model_validate(agent_response_data)
+    
+    error_msg = str(exc_info.value)
+    assert "validation error" in error_msg.lower() or "literal" in error_msg.lower()
+
+
+def test_multiple_agents_with_unique_skill_ids():
+    """Test that multiple agents with unique skill IDs work correctly."""
+    a2a_agents = [
+        A2AConfig(endpoint="http://localhost:10001/.well-known/agent-card.json"),
+        A2AConfig(endpoint="http://localhost:10002/.well-known/agent-card.json"),
+    ]
+    
+    card1 = AgentCard(
+        name="Research Agent",
+        description="Research agent",
+        url="http://localhost:10001",
+        version="1.0.0",
+        capabilities=AgentCapabilities(),
+        default_input_modes=["text/plain"],
+        default_output_modes=["text/plain"],
+        skills=[
+            AgentSkill(
+                id="Research",
+                name="Research",
+                description="Conduct research",
+                tags=["research"],
+            )
+        ],
+    )
+    
+    card2 = AgentCard(
+        name="Writing Agent",
+        description="Writing agent",
+        url="http://localhost:10002",
+        version="1.0.0",
+        capabilities=AgentCapabilities(),
+        default_input_modes=["text/plain"],
+        default_output_modes=["text/plain"],
+        skills=[
+            AgentSkill(
+                id="Writing",
+                name="Writing",
+                description="Write content",
+                tags=["writing"],
+            )
+        ],
+    )
+    
+    agent_cards = {
+        "http://localhost:10001/.well-known/agent-card.json": card1,
+        "http://localhost:10002/.well-known/agent-card.json": card2,
+    }
+    
+    identifiers = extract_agent_identifiers_from_cards(a2a_agents, agent_cards)
+    
+    assert len(identifiers) == 4
+    assert "http://localhost:10001/.well-known/agent-card.json" in identifiers
+    assert "http://localhost:10002/.well-known/agent-card.json" in identifiers
+    assert "Research" in identifiers
+    assert "Writing" in identifiers
+    
+    agent_response_model = create_agent_response_model(identifiers)
+    
+    response1 = agent_response_model.model_validate({
+        "a2a_ids": ["Research"],
+        "message": "Do research",
+        "is_a2a": True,
+    })
+    assert response1.a2a_ids == ("Research",)
+    
+    response2 = agent_response_model.model_validate({
+        "a2a_ids": ["Writing"],
+        "message": "Write content",
+        "is_a2a": True,
+    })
+    assert response2.a2a_ids == ("Writing",)
+    
+    endpoint1 = resolve_agent_identifier("Research", a2a_agents, agent_cards)
+    assert endpoint1 == "http://localhost:10001/.well-known/agent-card.json"
+    
+    endpoint2 = resolve_agent_identifier("Writing", a2a_agents, agent_cards)
+    assert endpoint2 == "http://localhost:10002/.well-known/agent-card.json"
+
+
+def test_multi_turn_skill_id_resolution():
+    """Test that skill IDs work in multi-turn A2A conversations.
+    
+    This test verifies the fix in _handle_agent_response_and_continue()
+    that rebuilds the AgentResponse model with both endpoints and skill IDs
+    for subsequent turns in multi-turn conversations.
+    
+    Scenario:
+    1. First turn: LLM returns skill ID "Research"
+    2. A2A agent responds
+    3. Second turn: LLM returns skill ID "Writing" (different agent)
+    4. Both turns should accept skill IDs without validation errors
+    """
+    a2a_agents = [
+        A2AConfig(endpoint="http://localhost:10001/.well-known/agent-card.json"),
+        A2AConfig(endpoint="http://localhost:10002/.well-known/agent-card.json"),
+    ]
+    
+    card1 = AgentCard(
+        name="Research Agent",
+        description="Research agent",
+        url="http://localhost:10001",
+        version="1.0.0",
+        capabilities=AgentCapabilities(),
+        default_input_modes=["text/plain"],
+        default_output_modes=["text/plain"],
+        skills=[
+            AgentSkill(
+                id="Research",
+                name="Research",
+                description="Conduct research",
+                tags=["research"],
+            )
+        ],
+    )
+    
+    card2 = AgentCard(
+        name="Writing Agent",
+        description="Writing agent",
+        url="http://localhost:10002",
+        version="1.0.0",
+        capabilities=AgentCapabilities(),
+        default_input_modes=["text/plain"],
+        default_output_modes=["text/plain"],
+        skills=[
+            AgentSkill(
+                id="Writing",
+                name="Writing",
+                description="Write content",
+                tags=["writing"],
+            )
+        ],
+    )
+    
+    agent_cards_turn1 = {
+        "http://localhost:10001/.well-known/agent-card.json": card1,
+    }
+    
+    identifiers_turn1 = extract_agent_identifiers_from_cards(a2a_agents, agent_cards_turn1)
+    model_turn1 = create_agent_response_model(identifiers_turn1)
+    
+    response_turn1 = model_turn1.model_validate({
+        "a2a_ids": ["Research"],
+        "message": "Please research quantum computing",
+        "is_a2a": True,
+    })
+    assert response_turn1.a2a_ids == ("Research",)
+    
+    endpoint_turn1 = resolve_agent_identifier("Research", a2a_agents, agent_cards_turn1)
+    assert endpoint_turn1 == "http://localhost:10001/.well-known/agent-card.json"
+    
+    agent_cards_turn2 = {
+        "http://localhost:10001/.well-known/agent-card.json": card1,
+        "http://localhost:10002/.well-known/agent-card.json": card2,
+    }
+    
+    identifiers_turn2 = extract_agent_identifiers_from_cards(a2a_agents, agent_cards_turn2)
+    model_turn2 = create_agent_response_model(identifiers_turn2)
+    
+    assert "Research" in identifiers_turn2
+    assert "Writing" in identifiers_turn2
+    
+    response_turn2 = model_turn2.model_validate({
+        "a2a_ids": ["Writing"],
+        "message": "Now write a report based on the research",
+        "is_a2a": True,
+    })
+    assert response_turn2.a2a_ids == ("Writing",)
+    
+    endpoint_turn2 = resolve_agent_identifier("Writing", a2a_agents, agent_cards_turn2)
+    assert endpoint_turn2 == "http://localhost:10002/.well-known/agent-card.json"
+    
+    response_turn3 = model_turn2.model_validate({
+        "a2a_ids": ["Research"],
+        "message": "Research more details",
+        "is_a2a": True,
+    })
+    assert response_turn3.a2a_ids == ("Research",)
+    
+    endpoint_turn3 = resolve_agent_identifier("Research", a2a_agents, agent_cards_turn2)
+    assert endpoint_turn3 == "http://localhost:10001/.well-known/agent-card.json"