=KiSrSSKJr SSKrSSKrSSKJrJrJrJ r SSK J r J r SSK r SSKJr SSKJr SSKJrJrJrJrJrJrJrJrJrJrJrJrJrJ r J!r!J"r"J#r#J$r$J%r%J&r&J'r' "S S 5r(g) z,Async client for managing runs in LangGraph.) annotationsN) AsyncIteratorCallableMappingSequence)Anyoverload) HttpClient_get_run_metadata_from_response)AllBulkCancelRunsStatus CancelAction CheckpointCommandConfigContextDisconnectMode Durability IfNotExistsInputMultitaskStrategyOnCompletionBehaviorQueryParamTypesRun RunCreateRunCreateMetadataRunSelectField RunStatus StreamMode StreamPartc\rSrSrSrS+Sjr\SSSSSSSSSSSSSSSSSSSSSSS.S,Sjj5r\SSSSSSSSSSSSSSSSSSSS .S-S jj5rSSSSSSSSSSSSSSSSSSSSSSSSS .S.S jjr\SSSSSSSSSSSSSSSSSSS .S/Sjj5r\SSSSSSSSSSSSSSSSSSSSS.S0Sjj5rSSSSSSSSSSSSSSSSSSSSSSS.S1SjjrSSS.S2Sjjr \SSSSSSSSSSSSSSSSSSSS.S3Sjj5r \SSSSSSSSSSSSSSSSSS.S4Sjj5r SSSSSSSSSSSSSSSSSSSSSS.S5Sjjr SSSSSSS.S6Sjjr SSS.S7S jjr SS!SSS".S8S#jjr SSSS!SSS$.S9S%jjrSSS.S:S&jjrSSSSSS'.S;S(jjrSSS.Sr?r@rArBrCrDs r*streamRunsClient.stream8s8%(r-)r/r0r1r2r3r4r5r9r:r;r<r= on_completionr@r>rArBrCrDcgr&rF)r)rGrHr/r0r1r2r3r4r5r9r:r;r<r=rKr@r>rArBrCrDs r*rIrJVs2%(r-)r/r0r1r2r3r4r5r6r7r8r9r:r;r<r=rKr>r?r@rArBrCrD durabilityc ^U b[R"S[SS9 0SU_SU(a,UR5VVs0sHunnUcM UU_M snnOS_SU _SU _S U_S U_S U_S U_S U_SU_SU_SU_SU_SU _SU _SU _SU_UUUUUS.EnUbSUS3OSnSU4SjjnURR USUR5VVs0sHunnUcM UU_M snnUUT(aUS9$SS9$s snnfs snnf)aCreate a run and stream the results. Args: thread_id: the thread ID to assign to the thread. If `None` will create a stateless run. assistant_id: The assistant ID or graph name to stream from. If using graph name, will default to first assistant created from that graph. input: The input to the graph. command: A command to execute. Cannot be combined with input. stream_mode: The stream mode(s) to use. stream_subgraphs: Whether to stream output from subgraphs. stream_resumable: Whether the stream is considered resumable. If true, the stream can be resumed and replayed in its entirety even after disconnection. metadata: Metadata to assign to the run. config: The configuration for the assistant. context: Static context to add to the assistant. !!! version-added "Added in version 0.6.0" checkpoint: The checkpoint to resume from. checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption). interrupt_before: Nodes to interrupt immediately before they get executed. interrupt_after: Nodes to Nodes to interrupt immediately after they get executed. feedback_keys: Feedback keys to assign to run. on_disconnect: The disconnect mode to use. Must be one of 'cancel' or 'continue'. on_completion: Whether to delete or keep the thread created for a stateless run. Must be one of 'delete' or 'keep'. webhook: Webhook to call after LangGraph API call is done. multitask_strategy: Multitask strategy to use. Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'. if_not_exists: How to handle missing thread. Defaults to 'reject'. Must be either 'reject' (raise error if missing), or 'create' (create new thread). after_seconds: The number of seconds to wait before starting the run. Use to schedule future runs. headers: Optional custom headers to include with the request. params: Optional query parameters to include with the request. on_run_created: Callback when a run is created. durability: The durability to use for the run. Values are "sync", "async", or "exit". "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps Returns: Asynchronous iterator of stream results. ???+ example "Example Usage" ```python client = get_client(url="http://localhost:2024) async for chunk in client.runs.stream( thread_id=None, assistant_id="agent", input={"messages": [{"role": "user", "content": "how are you?"}]}, stream_mode=["values","debug"], metadata={"name":"my_run"}, context={"model_name": "anthropic"}, interrupt_before=["node_to_stop_before_1","node_to_stop_before_2"], interrupt_after=["node_to_stop_after_1","node_to_stop_after_2"], feedback_keys=["my_feedback_key_1","my_feedback_key_2"], webhook="https://my.fake.webhook.com", multitask_strategy="interrupt" ): print(chunk) ``` ```shell ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ StreamPart(event='metadata', data={'run_id': '1ef4a9b8-d7da-679a-a45a-872054341df2'}) StreamPart(event='values', data={'messages': [{'content': 'how are you?', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'human', 'name': None, 'id': 'fe0a5778-cfe9-42ee-b807-0adaa1873c10', 'example': False}]}) StreamPart(event='values', data={'messages': [{'content': 'how are you?', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'human', 'name': None, 'id': 'fe0a5778-cfe9-42ee-b807-0adaa1873c10', 'example': False}, {'content': "I'm doing well, thanks for asking! I'm an AI assistant created by Anthropic to be helpful, honest, and harmless.", 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'ai', 'name': None, 'id': 'run-159b782c-b679-4830-83c6-cef87798fe8b', 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None}]}) StreamPart(event='end', data=None) ``` Nd`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead. stacklevelr/r0r5r6r4r1r2r3rHr:r;r<r>r7r8r9r?)r@r=rKrArM /threads/z /runs/streamcL>T(a[U5=n(a T"U5 gggz)Callback function to handle the response.Nr resr4rDs r* on_response&RunsClient.stream..on_response&/Ns/S#S8#Sx($T~r-POSTjsonrCrBrXrWzhttpx.Response)warningswarnDeprecationWarningitemsr(rI) r)rGrHr/r0r1r2r3r4r5r6r7r8r9r:r;r<r=rKr>r?r@rArBrCrDrMkvpayloadendpointrXs ` r*rIrJqsR  ( MMv"   U GN'--/C/$!QQA/CTX f  w     ;   0   0  L   0    ]  w *! " ]# $ !2% & !"4' (+***$1 8$ {, /   ) yy  #*==?D?41aa$!Q$?D'5    <@    EDJEs C5 C5 C;C;)r/r0r1r2r3r4r9r5r6r:r;r>rKr@rArBrCrDc # g7fr&rF)r)rGrHr/r0r1r2r3r4r9r5r6r:r;r>rKr@rArBrCrDs r*createRunsClient.creates 0)r/r0r1r2r3r4r5r6r7r8r9r:r;r>r?r@rArBrCrDc # g7fr&rF)r)rGrHr/r0r1r2r3r4r5r6r7r8r9r:r;r>r?r@rArBrCrDs r*rhri)s 4rj)r/r0r1r2r3r4r5r6r7r8r9r:r;r>r?r@rKrArBrCrDrMc^# U b[R"S[SS9 0SU_SU(a,UR5VVs0sHunnUcM UU_M snnOS_SU_SU_S U_S U _S U _S U_S U_SU_SU_SU_SU _SU _SU _SU_SU_UUUS.EnUR5VVs0sHunnUcM UU_M nnnSU4SjjnURR U(aSUS3OSUUUT(aUOSS9IShvN $s snnfs snnfN7f)aCreate a background run. Args: thread_id: the thread ID to assign to the thread. If `None` will create a stateless run. assistant_id: The assistant ID or graph name to stream from. If using graph name, will default to first assistant created from that graph. input: The input to the graph. command: A command to execute. Cannot be combined with input. stream_mode: The stream mode(s) to use. stream_subgraphs: Whether to stream output from subgraphs. stream_resumable: Whether the stream is considered resumable. If true, the stream can be resumed and replayed in its entirety even after disconnection. metadata: Metadata to assign to the run. config: The configuration for the assistant. context: Static context to add to the assistant. !!! version-added "Added in version 0.6.0" checkpoint: The checkpoint to resume from. checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption). interrupt_before: Nodes to interrupt immediately before they get executed. interrupt_after: Nodes to Nodes to interrupt immediately after they get executed. webhook: Webhook to call after LangGraph API call is done. multitask_strategy: Multitask strategy to use. Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'. on_completion: Whether to delete or keep the thread created for a stateless run. Must be one of 'delete' or 'keep'. if_not_exists: How to handle missing thread. Defaults to 'reject'. Must be either 'reject' (raise error if missing), or 'create' (create new thread). after_seconds: The number of seconds to wait before starting the run. Use to schedule future runs. headers: Optional custom headers to include with the request. on_run_created: Optional callback to call when a run is created. durability: The durability to use for the run. Values are "sync", "async", or "exit". "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps Returns: The created background run. ???+ example "Example Usage" ```python background_run = await client.runs.create( thread_id="my_thread_id", assistant_id="my_assistant_id", input={"messages": [{"role": "user", "content": "hello!"}]}, metadata={"name":"my_run"}, context={"model_name": "openai"}, interrupt_before=["node_to_stop_before_1","node_to_stop_before_2"], interrupt_after=["node_to_stop_after_1","node_to_stop_after_2"], webhook="https://my.fake.webhook.com", multitask_strategy="interrupt" ) print(background_run) ``` ```shell -------------------------------------------------------------------------------- { 'run_id': 'my_run_id', 'thread_id': 'my_thread_id', 'assistant_id': 'my_assistant_id', 'created_at': '2024-07-25T15:35:42.598503+00:00', 'updated_at': '2024-07-25T15:35:42.598503+00:00', 'metadata': {}, 'status': 'pending', 'kwargs': { 'input': { 'messages': [ { 'role': 'user', 'content': 'how are you?' } ] }, 'config': { 'metadata': { 'created_by': 'system' }, 'configurable': { 'run_id': 'my_run_id', 'user_id': None, 'graph_id': 'agent', 'thread_id': 'my_thread_id', 'checkpoint_id': None, 'assistant_id': 'my_assistant_id' }, }, 'context': { 'model_name': 'openai' } 'webhook': "https://my.fake.webhook.com", 'temporary': False, 'stream_mode': ['values'], 'feedback_keys': None, 'interrupt_after': ["node_to_stop_after_1","node_to_stop_after_2"], 'interrupt_before': ["node_to_stop_before_1","node_to_stop_before_2"] }, 'multitask_strategy': 'interrupt' } ``` NrOrPrQr/r0r1r2r3r5r6r4rHr:r;r>r7r8r9r?r@)rKrArMcL>T(a[U5=n(a T"U5 gggrUr rVs r*rX&RunsClient.create..on_responserZr-rS/runsr\r^)r_r`rarbr(post)r)rGrHr/r0r1r2r3r4r5r6r7r8r9r:r;r>r?r@rKrArBrCrDrMrcrdrerXs ` r*rhriEsV  ( MMv"   U GN'--/C/$!QQA/CTX ;   0    0  f  w    L   0    w  * ]! " !2# $ !"4% & ]' (+*$- 0%,MMOEODAqq41a4OE ) YY^^,5i {% (7'5 4 $   9D*F s7=D  C= C= A D " D0D7AD 8D 9D rBrCc# SSjnUVs/sH oT"U5PM nnURRSXbUS9IShvN $s snfN 7f)z,Create a batch of stateless background runs.cbUR5VVs0sH upUcM X_M snn$s snnfr&)rb)rercrds r*filter_payload/RunsClient.create_batch..filter_payloads(%,]]_F_TQDAD_F FFs ++z /runs/batchr]rBrCN)rer)r(rp)r)payloadsrBrCrtrefiltereds r* create_batchRunsClient.create_batchsX Gr=r?r@rA raise_errorrBrCrDc # g7fr&rF)r)rGrHr/r0r4r5r6r7r8r9r:r;r>r=r?r@rAr{rBrCrDs r*waitRunsClient.waits 203rj)r/r0r4r5r6r9r:r;r>r=rKr@rAr{rBrCrDc # g7fr&rF)r)rGrHr/r0r4r5r6r9r:r;r>r=rKr@rAr{rBrCrDs r*r}r~)s .03rj)r/r0r4r5r6r7r8r9r:r;r>r=rKr?r@rAr{rBrCrDrMc ^# U b[R"S[SS9 0SU_SU(a,UR5VVs0sHunnUcM UU_M snnOS_SU_SU_S U_S U_S U _S U _S U _SU_SU _SU_SU _SU_SU_SU_SU_SU0EnUbSUS3OSnS U4SjjnURR USUR5VVs0sHunnUcM UU_M snnUUT(aUOSS9IShvN nU(ag[ U[5(aRSU;aL[ US[5(a4[USRS5SUSRS535eU$s snnfs snnfN7f)!a:Create a run, wait until it finishes and return the final state. Args: thread_id: the thread ID to create the run on. If `None` will create a stateless run. assistant_id: The assistant ID or graph name to run. If using graph name, will default to first assistant created from that graph. input: The input to the graph. command: A command to execute. Cannot be combined with input. metadata: Metadata to assign to the run. config: The configuration for the assistant. context: Static context to add to the assistant. !!! version-added "Added in version 0.6.0" checkpoint: The checkpoint to resume from. checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption). interrupt_before: Nodes to interrupt immediately before they get executed. interrupt_after: Nodes to Nodes to interrupt immediately after they get executed. webhook: Webhook to call after LangGraph API call is done. on_disconnect: The disconnect mode to use. Must be one of 'cancel' or 'continue'. on_completion: Whether to delete or keep the thread created for a stateless run. Must be one of 'delete' or 'keep'. multitask_strategy: Multitask strategy to use. Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'. if_not_exists: How to handle missing thread. Defaults to 'reject'. Must be either 'reject' (raise error if missing), or 'create' (create new thread). after_seconds: The number of seconds to wait before starting the run. Use to schedule future runs. headers: Optional custom headers to include with the request. on_run_created: Optional callback to call when a run is created. durability: The durability to use for the run. Values are "sync", "async", or "exit". "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps Returns: The output of the run. ???+ example "Example Usage" ```python client = get_client(url="http://localhost:2024") final_state_of_run = await client.runs.wait( thread_id=None, assistant_id="agent", input={"messages": [{"role": "user", "content": "how are you?"}]}, metadata={"name":"my_run"}, context={"model_name": "anthropic"}, interrupt_before=["node_to_stop_before_1","node_to_stop_before_2"], interrupt_after=["node_to_stop_after_1","node_to_stop_after_2"], webhook="https://my.fake.webhook.com", multitask_strategy="interrupt" ) print(final_state_of_run) ``` ```shell ------------------------------------------------------------------------------------------------------------------------------------------- { 'messages': [ { 'content': 'how are you?', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'human', 'name': None, 'id': 'f51a862c-62fe-4866-863b-b0863e8ad78a', 'example': False }, { 'content': "I'm doing well, thanks for asking! I'm an AI assistant created by Anthropic to be helpful, honest, and harmless.", 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'ai', 'name': None, 'id': 'run-bf1cd3c6-768f-4c16-b62d-ba6f17ad8b36', 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None } ] } ``` NrOrPrQr/r0r5r6r4rHr:r;r>r7r8r?r9r@r=rKrArMrSz /runs/waitcL>T(a[U5=n(a T"U5 gggrUr rVs r*rX$RunsClient.wait..on_responserZr-r[r\ __error__errorz: messager^) r_r`rarbr(request_reconnect isinstancedict Exceptionget)r)rGrHr/r0r4r5r6r7r8r9r:r;r>r=rKr?r@rAr{rBrCrDrMrcrdrerfrXresponses ` r*r}r~Bs"d  ( MMv"   U GN'--/C/$!QQA/CTX f  w     L   0    w  *  ]  !"4  !2 ]! " ]# $ ]% & ]' ( *) .2;1Fi {* -L  ) 44  #*==?D?41aa$!Q$?D'5 4 5   8T**x'8K0$77K(,,W56b+9N9R9RS\9]8^_ [D>E s7=E7 E) E) A5E7 E/E/E74E55BE7 r)limitoffsetstatusselectrBrCc# UUS.nUbXHS'U(aXXS'U(aURU5 URRSUS3XS9IShvN $N7f)aKList runs. Args: thread_id: The thread ID to list runs for. limit: The maximum number of results to return. offset: The number of results to skip. status: The status of the run to filter by. headers: Optional custom headers to include with the request. params: Optional query parameters to include with the request. Returns: The runs for the thread. ???+ example "Example Usage" ```python client = get_client(url="http://localhost:2024") await client.runs.list( thread_id="thread_id", limit=5, offset=5, ) ``` )rrNrrrSrorCrB)updater(r) r)rGrrrrrBrC query_paramss r*listRunsClient.listssJ(   %+ " %+ "     'YY]] {% (#    sAAAAc^# URRSUSU3X4S9IShvN $N7f)aGet a run. Args: thread_id: The thread ID to get. run_id: The run ID to get. headers: Optional custom headers to include with the request. params: Optional query parameters to include with the request. Returns: `Run` object. ???+ example "Example Usage" ```python client = get_client(url="http://localhost:2024") run = await client.runs.get( thread_id="thread_id_to_delete", run_id="run_id_to_delete", ) ``` rS/runs/rqN)r(rr)rGrun_idrBrCs r*rRunsClient.gets=>YY]] {& 17#    s $-+- interrupt)r}actionrBrCc# U(aSOSUS.nU(aURU5 U(a+URRSUSUS3SUUS9IS hvN $URRSUSUS3S UUS 9IS hvN $N/N7f) aGet a run. Args: thread_id: The thread ID to cancel. run_id: The run ID to cancel. wait: Whether to wait until run has completed. action: Action to take when cancelling the run. Possible values are `interrupt` or `rollback`. Default is `interrupt`. headers: Optional custom headers to include with the request. params: Optional query parameters to include with the request. Returns: `None` ???+ example "Example Usage" ```python client = get_client(url="http://localhost:2024") await client.runs.cancel( thread_id="thread_id_to_cancel", run_id="run_id_to_cancel", wait=True, action="interrupt" ) ``` r)r}rrSrz/cancelr[rN)r]rCrB)rr(rrp)r)rGrr}rrBrCrs r*cancelRunsClient.cancelAsLA1      ' 44I;fVHG<# 5 I;fVHG<# ( s$AB B*B BB B )rGrun_idsrrrBrCc# 0nU(aXS'U(aX'S'U(aX7S'SU0nU(aURU5 URRSUUUS9IShvN gN7f)aCancel one or more runs. Can cancel runs by thread ID and run IDs, or by status filter. Args: thread_id: The ID of the thread containing runs to cancel. run_ids: List of run IDs to cancel. status: Filter runs by status to cancel. Must be one of `"pending"`, `"running"`, or `"all"`. action: Action to take when cancelling the run. Possible values are `"interrupt"` or `"rollback"`. Default is `"interrupt"`. headers: Optional custom headers to include with the request. params: Optional query parameters to include with the request. Returns: `None` ???+ example "Example Usage" ```python client = get_client(url="http://localhost:2024") # Cancel all pending runs await client.runs.cancel_many(status="pending") # Cancel specific runs on a thread await client.runs.cancel_many( thread_id="my_thread_id", run_ids=["run_1", "run_2"], action="rollback", ) ``` rGrrrz /runs/cancelrvN)rr(rp) r)rGrrrrBrCrers r* cancel_manyRunsClient.cancel_many{stT#% #,K !(I   &H (0&'9     'iinn     sAA)!A'"A)cd# URRSUSUS3SUUS9IShvN $N7f)aBlock until a run is done. Returns the final state of the thread. Args: thread_id: The thread ID to join. run_id: The run ID to join. headers: Optional custom headers to include with the request. params: Optional query parameters to include with the request. Returns: `None` ???+ example "Example Usage" ```python client = get_client(url="http://localhost:2024") result =await client.runs.join( thread_id="thread_id_to_join", run_id="run_id_to_join" ) ``` rSrz/joinGETrqN)r(rrs r*joinRunsClient.joinsH<YY00 {& 6  1    s '0.0)cancel_on_disconnectr1rBrC last_event_idcUUS.nU(aURU5 URRSUSUS3SU0U(aSU0O0EU=(d 0E=(d SS9$) aStream output from a run in real-time, until the run is done. Output is not buffered, so any output produced before this call will not be received here. Args: thread_id: The thread ID to join. run_id: The run ID to join. cancel_on_disconnect: Whether to cancel the run when the stream is disconnected. stream_mode: The stream mode(s) to use. Must be a subset of the stream modes passed when creating the run. Background runs default to having the union of all stream modes. headers: Optional custom headers to include with the request. params: Optional query parameters to include with the request. last_event_id: The last event ID to use for the stream. Returns: The stream of parts. ???+ example "Example Usage" ```python client = get_client(url="http://localhost:2024") async for part in client.runs.join_stream( thread_id="thread_id_to_join", run_id="run_id_to_join", stream_mode=["values", "debug"] ): print(part) ``` )rr1rSrz/streamrz Last-Event-IDNr)rr(rI) r)rGrrr1rBrCrrs r* join_streamRunsClient.join_streamsV%9&      'yy {& 8 7DO]3"=b  r-c`# URRSUSU3X4S9IShvN gN7f)aDelete a run. Args: thread_id: The thread ID to delete. run_id: The run ID to delete. headers: Optional custom headers to include with the request. params: Optional query parameters to include with the request. Returns: `None` ???+ example "Example Usage" ```python client = get_client(url="http://localhost:2024") await client.runs.delete( thread_id="thread_id_to_delete", run_id="run_id_to_delete" ) ``` rSrrqN)r(deleters r*rRunsClient.deletes:<ii {& 17   s $.,.r')r(r returnNone)2rGstrrHrr/ Input | Noner0Command | Noner1!StreamMode | Sequence[StreamMode]r2boolr3rr4Mapping[str, Any] | Noner5 Config | Noner6Context | Noner7Checkpoint | Noner8 str | Noner9 bool | Noner:All | Sequence[str] | Noner;rr<Sequence[str] | Noner=DisconnectMode | Noner>rr?MultitaskStrategy | Noner@IfNotExists | NonerA int | NonerBMapping[str, str] | NonerCQueryParamTypes | NonerD*Callable[[RunCreateMetadata], None] | NonerAsyncIterator[StreamPart]),rGrrHrr/rr0rr1rr2rr3rr4rr5rr9rr:rr;rr<rr=rrKOnCompletionBehavior | Noner@rr>rrArrBrrCrrDrrr)6rGrrHrr/rr0rr1rr2rr3rr4rr5rr6rr7rr8rr9rr:rr;rr<rr=rrKrr>rr?rr@rrArrBrrCrrDrrMDurability | Nonerr)*rGrrHrr/rr0rr1rr2rr3rr4rr9rr5rr6rr:rr;rr>rrKrr@rrArrBrrCrrDrrr).rGrrHrr/rr0rr1rr2rr3rr4rr5rr6rr7rr8rr9rr:rr;rr>rr?rr@rrArrBrrCrrDrrr)2rGrrHrr/rr0rr1rr2rr3rr4rr5rr6rr7rr8rr9rr:rr;rr>rr?rr@rrKrrArrBrrCrrDrrMrrr)rwzbuiltins.list[RunCreate]rBrrCrrbuiltins.list[Run]),rGrrHrr/rr0rr4rr5rr6rr7rr8rr9rr:rr;rr>rr=rr?rr@rrArr{rrBrrCrrDrr$builtins.list[dict] | dict[str, Any])(rGrrHrr/rr0rr4rr5rr6rr9rr:rr;rr>rr=rrKrr@rrArr{rrBrrCrrDrrr)0rGrrHrr/rr0rr4rr5rr6rr7rr8rr9rr:rr;rr>rr=rrKrr?rr@rrArr{rrBrrCrrDrrMrrr)rGrrintrrrzRunStatus | Nonerz$builtins.list[RunSelectField] | NonerBrrCrrr) rGrrrrBrrCrrr)rGrrrr}rrrrBrrCrrr)rGrrrrzBulkCancelRunsStatus | NonerrrBrrCrrr) rGrrrrBrrCrrr)rGrrrrrr1z(StreamMode | Sequence[StreamMode] | NonerBrrCrrrrr) rGrrrrBrrCrrr)__name__ __module__ __qualname____firstlineno____doc__r+r rIrhryr}rrrrrrr__static_attributes__rFr-r*r#r#'s   #"&9A!&!&-1 $"&(,$()-7;6:.2/3"7;,0$(,0)-EI5(((  (  (7(((+(( (&("('( 5!("4#($,%(&-'(()(*5+(,*-(."/(0*1(2'3(4C5(6 #7((: #"&9A!&!&-1 $)-7;6:.2/359,0"$(,0)-EI/(((  (  (7(((+(('(5(4(,( -!("3#($*%(&'((")(**+(,'-(.C/(0 #1((>#"&9A!&!&-1 $"&(,$()-7;6:.2/359"7;,0$(,0)-EI(,9\ \ \  \  \ 7\ \ \ +\ \  \ &\ "\ '\ 5!\ "4#\ $,%\ &-'\ (3)\ *+\ ,5-\ .*/\ 0"1\ 2*3\ 4'5\ 6C7\ 8&9\ : #;\ | #"&9A!&!&-1)- $"&7;6:"59,0$(,0)-EI-    7+' 54 !"3#$*%&"'(*)*'+,C-. /2 #"&9A!&!&-1 $"&(,$()-7;6:"7;,0$(,0)-EI1    7+ &"' 5!"4#$%&5'(*)*"+,*-.'/0C12 3@#"&9A!&!&-1 $"&(,$()-7;6:"7;,059$(,0)-EI(,5v v v  v  v 7v v v +v v  v &v "v 'v 5!v "4#v $%v &5'v (*)v *3+v ,"-v .*/v 0'1v 2C3v 4&5v 6 7v x-1)-  * *  '    " #"&-1 $"&(,$()-7;6:"/37;,0$( ,0)-EI/333  3  3+33 3&3"3'353433 -!3"5#3$*%3&"'3()3**+3,'-3.C/30 .1334 #"&-1 $"&)-7;6:"/359,0$( ,0)-EI+333  3  3+33 3'353433-333 *!3""#3$%3&*'3(')3*C+3, .-33:#"&-1 $"&(,$()-7;6:"/3597;,0$( ,0)-EI(,3hhh  h  h+hh h&h"h'h5h4hh -!h"3#h$5%h&*'h(")h*+h,*-h.'/h0C1h2&3h4 .5h\#'7;,0)-0 0  0  0 ! 0 50 *0 '0  0 n-1)- ! ! ! * ! 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