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feat: add previous_response_id parameter to OpenAI module #105

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Merged
merged 1 commit into from
Sep 12, 2025
Merged

feat: add previous_response_id parameter to OpenAI module #105

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32 changes: 19 additions & 13 deletions src/agentex/lib/adk/providers/_modules/openai.py
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Original file line number Diff line number Diff line change
Expand Up @@ -81,14 +81,13 @@ async def run_agent(
tools: list[Tool] | None = None,
output_type: type[Any] | AgentOutputSchemaBase | None = None,
tool_use_behavior: (
Literal["run_llm_again", "stop_on_first_tool"]
| StopAtTools
| ToolsToFinalOutputFunction
Literal["run_llm_again", "stop_on_first_tool"] | StopAtTools | ToolsToFinalOutputFunction
) = "run_llm_again",
mcp_timeout_seconds: int | None = None,
input_guardrails: list[InputGuardrail] | None = None,
output_guardrails: list[OutputGuardrail] | None = None,
max_turns: int | None = None,
previous_response_id: str | None = None,
) -> SerializableRunResult | RunResult:
"""
Run an agent without streaming or TaskMessage creation.
Expand Down Expand Up @@ -116,6 +115,7 @@ async def run_agent(
input_guardrails: Optional list of input guardrails to run on initial user input.
output_guardrails: Optional list of output guardrails to run on final agent output.
max_turns: Maximum number of turns the agent can take. Uses Runner's default if None.
previous_response_id: Optional previous response ID for conversation continuity.

Returns:
Union[SerializableRunResult, RunResult]: SerializableRunResult when in Temporal, RunResult otherwise.
Expand All @@ -139,6 +139,7 @@ async def run_agent(
input_guardrails=input_guardrails,
output_guardrails=output_guardrails,
max_turns=max_turns,
previous_response_id=previous_response_id,
)
return await ActivityHelpers.execute_activity(
activity_name=OpenAIActivityName.RUN_AGENT,
Expand Down Expand Up @@ -167,6 +168,7 @@ async def run_agent(
input_guardrails=input_guardrails,
output_guardrails=output_guardrails,
max_turns=max_turns,
previous_response_id=previous_response_id,
)

async def run_agent_auto_send(
Expand All @@ -188,14 +190,13 @@ async def run_agent_auto_send(
tools: list[Tool] | None = None,
output_type: type[Any] | AgentOutputSchemaBase | None = None,
tool_use_behavior: (
Literal["run_llm_again", "stop_on_first_tool"]
| StopAtTools
| ToolsToFinalOutputFunction
Literal["run_llm_again", "stop_on_first_tool"] | StopAtTools | ToolsToFinalOutputFunction
) = "run_llm_again",
mcp_timeout_seconds: int | None = None,
input_guardrails: list[InputGuardrail] | None = None,
output_guardrails: list[OutputGuardrail] | None = None,
max_turns: int | None = None,
previous_response_id: str | None = None,
) -> SerializableRunResult | RunResult:
"""
Run an agent with automatic TaskMessage creation.
Expand All @@ -222,6 +223,7 @@ async def run_agent_auto_send(
input_guardrails: Optional list of input guardrails to run on initial user input.
output_guardrails: Optional list of output guardrails to run on final agent output.
max_turns: Maximum number of turns the agent can take. Uses Runner's default if None.
previous_response_id: Optional previous response ID for conversation continuity.

Returns:
Union[SerializableRunResult, RunResult]: SerializableRunResult when in Temporal, RunResult otherwise.
Expand All @@ -246,6 +248,7 @@ async def run_agent_auto_send(
input_guardrails=input_guardrails,
output_guardrails=output_guardrails,
max_turns=max_turns,
previous_response_id=previous_response_id,
)
return await ActivityHelpers.execute_activity(
activity_name=OpenAIActivityName.RUN_AGENT_AUTO_SEND,
Expand Down Expand Up @@ -275,6 +278,7 @@ async def run_agent_auto_send(
input_guardrails=input_guardrails,
output_guardrails=output_guardrails,
max_turns=max_turns,
previous_response_id=previous_response_id,
)

async def run_agent_streamed(
Expand All @@ -292,14 +296,13 @@ async def run_agent_streamed(
tools: list[Tool] | None = None,
output_type: type[Any] | AgentOutputSchemaBase | None = None,
tool_use_behavior: (
Literal["run_llm_again", "stop_on_first_tool"]
| StopAtTools
| ToolsToFinalOutputFunction
Literal["run_llm_again", "stop_on_first_tool"] | StopAtTools | ToolsToFinalOutputFunction
) = "run_llm_again",
mcp_timeout_seconds: int | None = None,
input_guardrails: list[InputGuardrail] | None = None,
output_guardrails: list[OutputGuardrail] | None = None,
max_turns: int | None = None,
previous_response_id: str | None = None,
) -> RunResultStreaming:
"""
Run an agent with streaming enabled but no TaskMessage creation.
Expand Down Expand Up @@ -330,6 +333,7 @@ async def run_agent_streamed(
input_guardrails: Optional list of input guardrails to run on initial user input.
output_guardrails: Optional list of output guardrails to run on final agent output.
max_turns: Maximum number of turns the agent can take. Uses Runner's default if None.
previous_response_id: Optional previous response ID for conversation continuity.

Returns:
RunResultStreaming: The result of the agent run with streaming.
Expand Down Expand Up @@ -363,6 +367,7 @@ async def run_agent_streamed(
input_guardrails=input_guardrails,
output_guardrails=output_guardrails,
max_turns=max_turns,
previous_response_id=previous_response_id,
)

async def run_agent_streamed_auto_send(
Expand All @@ -384,14 +389,13 @@ async def run_agent_streamed_auto_send(
tools: list[Tool] | None = None,
output_type: type[Any] | AgentOutputSchemaBase | None = None,
tool_use_behavior: (
Literal["run_llm_again", "stop_on_first_tool"]
| StopAtTools
| ToolsToFinalOutputFunction
Literal["run_llm_again", "stop_on_first_tool"] | StopAtTools | ToolsToFinalOutputFunction
) = "run_llm_again",
mcp_timeout_seconds: int | None = None,
input_guardrails: list[InputGuardrail] | None = None,
output_guardrails: list[OutputGuardrail] | None = None,
max_turns: int | None = None,
previous_response_id: str | None = None,
) -> SerializableRunResultStreaming | RunResultStreaming:
"""
Run an agent with streaming enabled and automatic TaskMessage creation.
Expand All @@ -418,6 +422,7 @@ async def run_agent_streamed_auto_send(
tool_use_behavior: Optional tool use behavior.
mcp_timeout_seconds: Optional param to set the timeout threshold for the MCP servers. Defaults to 5 seconds.
max_turns: Maximum number of turns the agent can take. Uses Runner's default if None.
previous_response_id: Optional previous response ID for conversation continuity.

Returns:
Union[SerializableRunResultStreaming, RunResultStreaming]: SerializableRunResultStreaming when in Temporal, RunResultStreaming otherwise.
Expand All @@ -441,7 +446,7 @@ async def run_agent_streamed_auto_send(
mcp_timeout_seconds=mcp_timeout_seconds,
input_guardrails=input_guardrails,
output_guardrails=output_guardrails,
max_turns=max_turns
max_turns=max_turns,
)
return await ActivityHelpers.execute_activity(
activity_name=OpenAIActivityName.RUN_AGENT_STREAMED_AUTO_SEND,
Expand Down Expand Up @@ -471,4 +476,5 @@ async def run_agent_streamed_auto_send(
input_guardrails=input_guardrails,
output_guardrails=output_guardrails,
max_turns=max_turns,
previous_response_id=previous_response_id,
)
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