## ListAgentExecutions `agents.list_executions(AgentListExecutionsParams**kwargs) -> SyncAgentExecutionsPage[AgentExecution]` **post** `/gitpod.v1.AgentService/ListAgentExecutions` Lists all agent runs matching the specified filter. Use this method to track multiple agent runs and their associated resources. Results are ordered by their creation time with the newest first. ### Examples - List agent runs by agent ID: ```yaml filter: agentIds: ["b8a64cfa-43e2-4b9d-9fb3-07edc63f5971"] pagination: pageSize: 10 ``` ### Parameters - `token: Optional[str]` - `page_size: Optional[int]` - `filter: Optional[Filter]` - `agent_ids: Optional[Sequence[str]]` - `annotations: Optional[Dict[str, str]]` annotations filters by key-value pairs. Only executions containing all specified annotations (with matching values) are returned. - `creator_ids: Optional[Sequence[str]]` - `environment_ids: Optional[Sequence[str]]` - `project_ids: Optional[Sequence[str]]` - `roles: Optional[List[Literal["AGENT_EXECUTION_ROLE_UNSPECIFIED", "AGENT_EXECUTION_ROLE_DEFAULT", "AGENT_EXECUTION_ROLE_WORKFLOW"]]]` - `"AGENT_EXECUTION_ROLE_UNSPECIFIED"` - `"AGENT_EXECUTION_ROLE_DEFAULT"` - `"AGENT_EXECUTION_ROLE_WORKFLOW"` - `session_ids: Optional[Sequence[str]]` session_ids filters the response to only executions belonging to the specified sessions - `status_phases: Optional[List[Literal["PHASE_UNSPECIFIED", "PHASE_PENDING", "PHASE_RUNNING", 2 more]]]` - `"PHASE_UNSPECIFIED"` - `"PHASE_PENDING"` - `"PHASE_RUNNING"` - `"PHASE_WAITING_FOR_INPUT"` - `"PHASE_STOPPED"` - `pagination: Optional[Pagination]` - `token: Optional[str]` Token for the next set of results that was returned as next_token of a PaginationResponse - `page_size: Optional[int]` Page size is the maximum number of results to retrieve per page. Defaults to 25. Maximum 100. ### Returns - `class AgentExecution: …` - `id: Optional[str]` ID is a unique identifier of this agent run. No other agent run with the same name must be managed by this agent manager - `metadata: Optional[Metadata]` Metadata is data associated with this agent that's required for other parts of Gitpod to function - `annotations: Optional[Dict[str, str]]` annotations are key-value pairs for tracking external context. - `created_at: Optional[datetime]` A Timestamp represents a point in time independent of any time zone or local calendar, encoded as a count of seconds and fractions of seconds at nanosecond resolution. The count is relative to an epoch at UTC midnight on January 1, 1970, in the proleptic Gregorian calendar which extends the Gregorian calendar backwards to year one. All minutes are 60 seconds long. Leap seconds are "smeared" so that no leap second table is needed for interpretation, using a [24-hour linear smear](https://developers.google.com/time/smear). The range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By restricting to that range, we ensure that we can convert to and from [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) date strings. # Examples Example 1: Compute Timestamp from POSIX `time()`. Timestamp timestamp; timestamp.set_seconds(time(NULL)); timestamp.set_nanos(0); Example 2: Compute Timestamp from POSIX `gettimeofday()`. struct timeval tv; gettimeofday(&tv, NULL); Timestamp timestamp; timestamp.set_seconds(tv.tv_sec); timestamp.set_nanos(tv.tv_usec * 1000); Example 3: Compute Timestamp from Win32 `GetSystemTimeAsFileTime()`. FILETIME ft; GetSystemTimeAsFileTime(&ft); UINT64 ticks = (((UINT64)ft.dwHighDateTime) << 32) | ft.dwLowDateTime; // A Windows tick is 100 nanoseconds. Windows epoch 1601-01-01T00:00:00Z // is 11644473600 seconds before Unix epoch 1970-01-01T00:00:00Z. Timestamp timestamp; timestamp.set_seconds((INT64) ((ticks / 10000000) - 11644473600LL)); timestamp.set_nanos((INT32) ((ticks % 10000000) * 100)); Example 4: Compute Timestamp from Java `System.currentTimeMillis()`. long millis = System.currentTimeMillis(); Timestamp timestamp = Timestamp.newBuilder().setSeconds(millis / 1000) .setNanos((int) ((millis % 1000) * 1000000)).build(); Example 5: Compute Timestamp from Java `Instant.now()`. Instant now = Instant.now(); Timestamp timestamp = Timestamp.newBuilder().setSeconds(now.getEpochSecond()) .setNanos(now.getNano()).build(); Example 6: Compute Timestamp from current time in Python. timestamp = Timestamp() timestamp.GetCurrentTime() # JSON Mapping In JSON format, the Timestamp type is encoded as a string in the [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) format. That is, the format is "{year}-{month}-{day}T{hour}:{min}:{sec}[.{frac_sec}]Z" where {year} is always expressed using four digits while {month}, {day}, {hour}, {min}, and {sec} are zero-padded to two digits each. The fractional seconds, which can go up to 9 digits (i.e. up to 1 nanosecond resolution), are optional. The "Z" suffix indicates the timezone ("UTC"); the timezone is required. A proto3 JSON serializer should always use UTC (as indicated by "Z") when printing the Timestamp type and a proto3 JSON parser should be able to accept both UTC and other timezones (as indicated by an offset). For example, "2017-01-15T01:30:15.01Z" encodes 15.01 seconds past 01:30 UTC on January 15, 2017. In JavaScript, one can convert a Date object to this format using the standard [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString) method. In Python, a standard `datetime.datetime` object can be converted to this format using [`strftime`](https://docs.python.org/2/library/time.html#time.strftime) with the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use the Joda Time's [`ISODateTimeFormat.dateTime()`](http://joda-time.sourceforge.net/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime\(\)) to obtain a formatter capable of generating timestamps in this format. - `creator: Optional[Subject]` - `id: Optional[str]` id is the UUID of the subject - `principal: Optional[Principal]` Principal is the principal of the subject - `"PRINCIPAL_UNSPECIFIED"` - `"PRINCIPAL_ACCOUNT"` - `"PRINCIPAL_USER"` - `"PRINCIPAL_RUNNER"` - `"PRINCIPAL_ENVIRONMENT"` - `"PRINCIPAL_SERVICE_ACCOUNT"` - `"PRINCIPAL_RUNNER_MANAGER"` - `description: Optional[str]` - `name: Optional[str]` - `role: Optional[Literal["AGENT_EXECUTION_ROLE_UNSPECIFIED", "AGENT_EXECUTION_ROLE_DEFAULT", "AGENT_EXECUTION_ROLE_WORKFLOW"]]` role is the role of the agent execution - `"AGENT_EXECUTION_ROLE_UNSPECIFIED"` - `"AGENT_EXECUTION_ROLE_DEFAULT"` - `"AGENT_EXECUTION_ROLE_WORKFLOW"` - `updated_at: Optional[datetime]` A Timestamp represents a point in time independent of any time zone or local calendar, encoded as a count of seconds and fractions of seconds at nanosecond resolution. The count is relative to an epoch at UTC midnight on January 1, 1970, in the proleptic Gregorian calendar which extends the Gregorian calendar backwards to year one. All minutes are 60 seconds long. Leap seconds are "smeared" so that no leap second table is needed for interpretation, using a [24-hour linear smear](https://developers.google.com/time/smear). The range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By restricting to that range, we ensure that we can convert to and from [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) date strings. # Examples Example 1: Compute Timestamp from POSIX `time()`. Timestamp timestamp; timestamp.set_seconds(time(NULL)); timestamp.set_nanos(0); Example 2: Compute Timestamp from POSIX `gettimeofday()`. struct timeval tv; gettimeofday(&tv, NULL); Timestamp timestamp; timestamp.set_seconds(tv.tv_sec); timestamp.set_nanos(tv.tv_usec * 1000); Example 3: Compute Timestamp from Win32 `GetSystemTimeAsFileTime()`. FILETIME ft; GetSystemTimeAsFileTime(&ft); UINT64 ticks = (((UINT64)ft.dwHighDateTime) << 32) | ft.dwLowDateTime; // A Windows tick is 100 nanoseconds. Windows epoch 1601-01-01T00:00:00Z // is 11644473600 seconds before Unix epoch 1970-01-01T00:00:00Z. Timestamp timestamp; timestamp.set_seconds((INT64) ((ticks / 10000000) - 11644473600LL)); timestamp.set_nanos((INT32) ((ticks % 10000000) * 100)); Example 4: Compute Timestamp from Java `System.currentTimeMillis()`. long millis = System.currentTimeMillis(); Timestamp timestamp = Timestamp.newBuilder().setSeconds(millis / 1000) .setNanos((int) ((millis % 1000) * 1000000)).build(); Example 5: Compute Timestamp from Java `Instant.now()`. Instant now = Instant.now(); Timestamp timestamp = Timestamp.newBuilder().setSeconds(now.getEpochSecond()) .setNanos(now.getNano()).build(); Example 6: Compute Timestamp from current time in Python. timestamp = Timestamp() timestamp.GetCurrentTime() # JSON Mapping In JSON format, the Timestamp type is encoded as a string in the [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) format. That is, the format is "{year}-{month}-{day}T{hour}:{min}:{sec}[.{frac_sec}]Z" where {year} is always expressed using four digits while {month}, {day}, {hour}, {min}, and {sec} are zero-padded to two digits each. The fractional seconds, which can go up to 9 digits (i.e. up to 1 nanosecond resolution), are optional. The "Z" suffix indicates the timezone ("UTC"); the timezone is required. A proto3 JSON serializer should always use UTC (as indicated by "Z") when printing the Timestamp type and a proto3 JSON parser should be able to accept both UTC and other timezones (as indicated by an offset). For example, "2017-01-15T01:30:15.01Z" encodes 15.01 seconds past 01:30 UTC on January 15, 2017. In JavaScript, one can convert a Date object to this format using the standard [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString) method. In Python, a standard `datetime.datetime` object can be converted to this format using [`strftime`](https://docs.python.org/2/library/time.html#time.strftime) with the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use the Joda Time's [`ISODateTimeFormat.dateTime()`](http://joda-time.sourceforge.net/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime\(\)) to obtain a formatter capable of generating timestamps in this format. - `workflow_action_id: Optional[str]` workflow_action_id is set when this agent execution was created as part of a workflow. Used to correlate agent executions with their parent workflow execution action. - `spec: Optional[Spec]` Spec is the configuration of the agent that's required for the runner to start the agent - `agent_id: Optional[str]` - `code_context: Optional[AgentCodeContext]` - `context_url: Optional[ContextURL]` - `environment_class_id: Optional[str]` - `url: Optional[str]` - `environment_id: Optional[str]` - `project_id: Optional[str]` - `pull_request: Optional[PullRequest]` Pull request context - optional metadata about the PR being worked on This is populated when the agent execution is triggered by a PR workflow or when explicitly provided through the browser extension - `id: Optional[str]` Unique identifier from the source system (e.g., "123" for GitHub PR #123) - `author: Optional[str]` Author name as provided by the SCM system - `draft: Optional[bool]` Whether this is a draft pull request - `from_branch: Optional[str]` Source branch name (the branch being merged from) - `repository: Optional[PullRequestRepository]` Repository information - `clone_url: Optional[str]` - `host: Optional[str]` - `name: Optional[str]` - `owner: Optional[str]` - `state: Optional[State]` Current state of the pull request - `"STATE_UNSPECIFIED"` - `"STATE_OPEN"` - `"STATE_CLOSED"` - `"STATE_MERGED"` - `title: Optional[str]` Pull request title - `to_branch: Optional[str]` Target branch name (the branch being merged into) - `url: Optional[str]` Pull request URL (e.g., "https://github.com/owner/repo/pull/123") - `desired_phase: Optional[Literal["PHASE_UNSPECIFIED", "PHASE_PENDING", "PHASE_RUNNING", 2 more]]` desired_phase is the desired phase of the agent run - `"PHASE_UNSPECIFIED"` - `"PHASE_PENDING"` - `"PHASE_RUNNING"` - `"PHASE_WAITING_FOR_INPUT"` - `"PHASE_STOPPED"` - `limits: Optional[SpecLimits]` - `max_input_tokens: Optional[str]` - `max_iterations: Optional[str]` - `max_output_tokens: Optional[str]` - `loop_conditions: Optional[List[SpecLoopCondition]]` - `id: Optional[str]` - `description: Optional[str]` - `expression: Optional[str]` - `session: Optional[str]` - `spec_version: Optional[str]` version of the spec. The value of this field has no semantic meaning (e.g. don't interpret it as as a timestamp), but it can be used to impose a partial order. If a.spec_version < b.spec_version then a was the spec before b. - `status: Optional[Status]` Status is the current status of the agent - `cached_creation_tokens_used: Optional[str]` - `cached_input_tokens_used: Optional[str]` - `context_window_length: Optional[str]` - `conversation_url: Optional[str]` conversation_url is the URL to the conversation (all messages exchanged between the agent and the user) of the agent run. - `current_activity: Optional[str]` current_activity is the current activity description of the agent execution. - `current_operation: Optional[StatusCurrentOperation]` current_operation is the current operation of the agent execution. - `llm: Optional[StatusCurrentOperationLlm]` - `complete: Optional[bool]` - `retries: Optional[str]` retries is the number of times the agent run has retried one or more steps - `session: Optional[str]` - `tool_use: Optional[StatusCurrentOperationToolUse]` - `complete: Optional[bool]` - `tool_name: Optional[str]` - `failure_message: Optional[str]` failure_message contains the reason the agent run failed to operate. - `failure_reason: Optional[Literal["AGENT_EXECUTION_FAILURE_REASON_UNSPECIFIED", "AGENT_EXECUTION_FAILURE_REASON_ENVIRONMENT", "AGENT_EXECUTION_FAILURE_REASON_SERVICE", 3 more]]` failure_reason contains a structured reason code for the failure. - `"AGENT_EXECUTION_FAILURE_REASON_UNSPECIFIED"` - `"AGENT_EXECUTION_FAILURE_REASON_ENVIRONMENT"` - `"AGENT_EXECUTION_FAILURE_REASON_SERVICE"` - `"AGENT_EXECUTION_FAILURE_REASON_LLM_INTEGRATION"` - `"AGENT_EXECUTION_FAILURE_REASON_INTERNAL"` - `"AGENT_EXECUTION_FAILURE_REASON_AGENT_EXECUTION"` - `input_tokens_used: Optional[str]` - `iterations: Optional[str]` - `judgement: Optional[str]` judgement is the judgement of the agent run produced by the judgement prompt. - `mcp_integration_statuses: Optional[List[StatusMcpIntegrationStatus]]` mcp_integration_statuses contains the status of all MCP integrations used by this agent execution - `id: Optional[str]` id is the unique name of the MCP integration - `failure_message: Optional[str]` failure_message contains the reason the MCP integration failed to connect or operate - `name: Optional[str]` name is the unique name of the MCP integration (e.g., "linear", "notion") - `phase: Optional[Literal["MCP_INTEGRATION_PHASE_UNSPECIFIED", "MCP_INTEGRATION_PHASE_INITIALIZING", "MCP_INTEGRATION_PHASE_READY", 2 more]]` phase is the current connection/health phase - `"MCP_INTEGRATION_PHASE_UNSPECIFIED"` - `"MCP_INTEGRATION_PHASE_INITIALIZING"` - `"MCP_INTEGRATION_PHASE_READY"` - `"MCP_INTEGRATION_PHASE_FAILED"` - `"MCP_INTEGRATION_PHASE_UNAVAILABLE"` - `warning_message: Optional[str]` warning_message contains warnings (e.g., rate limiting, degraded performance) - `mode: Optional[AgentMode]` mode is the current operational mode of the agent execution. This is set by the agent when entering different modes (e.g., Ralph mode via /ona:ralph command). - `"AGENT_MODE_UNSPECIFIED"` - `"AGENT_MODE_EXECUTION"` - `"AGENT_MODE_PLANNING"` - `"AGENT_MODE_RALPH"` - `"AGENT_MODE_SPEC"` - `outputs: Optional[Dict[str, StatusOutputs]]` outputs is a map of key-value pairs that can be set by the agent during execution. Similar to task execution outputs, but with typed values for structured data. - `bool_value: Optional[bool]` - `float_value: Optional[float]` - `int_value: Optional[str]` - `string_value: Optional[str]` - `output_tokens_used: Optional[str]` - `phase: Optional[Literal["PHASE_UNSPECIFIED", "PHASE_PENDING", "PHASE_RUNNING", 2 more]]` - `"PHASE_UNSPECIFIED"` - `"PHASE_PENDING"` - `"PHASE_RUNNING"` - `"PHASE_WAITING_FOR_INPUT"` - `"PHASE_STOPPED"` - `session: Optional[str]` - `status_version: Optional[str]` version of the status. The value of this field has no semantic meaning (e.g. don't interpret it as as a timestamp), but it can be used to impose a partial order. If a.status_version < b.status_version then a was the status before b. - `supported_model: Optional[Literal["SUPPORTED_MODEL_UNSPECIFIED", "SUPPORTED_MODEL_SONNET_3_5", "SUPPORTED_MODEL_SONNET_3_7", 18 more]]` supported_model is the LLM model being used by the agent execution. - `"SUPPORTED_MODEL_UNSPECIFIED"` - `"SUPPORTED_MODEL_SONNET_3_5"` - `"SUPPORTED_MODEL_SONNET_3_7"` - `"SUPPORTED_MODEL_SONNET_3_7_EXTENDED"` - `"SUPPORTED_MODEL_SONNET_4"` - `"SUPPORTED_MODEL_SONNET_4_EXTENDED"` - `"SUPPORTED_MODEL_SONNET_4_5"` - `"SUPPORTED_MODEL_SONNET_4_5_EXTENDED"` - `"SUPPORTED_MODEL_SONNET_4_6"` - `"SUPPORTED_MODEL_SONNET_4_6_EXTENDED"` - `"SUPPORTED_MODEL_OPUS_4"` - `"SUPPORTED_MODEL_OPUS_4_EXTENDED"` - `"SUPPORTED_MODEL_OPUS_4_5"` - `"SUPPORTED_MODEL_OPUS_4_5_EXTENDED"` - `"SUPPORTED_MODEL_OPUS_4_6"` - `"SUPPORTED_MODEL_OPUS_4_6_EXTENDED"` - `"SUPPORTED_MODEL_HAIKU_4_5"` - `"SUPPORTED_MODEL_OPENAI_4O"` - `"SUPPORTED_MODEL_OPENAI_4O_MINI"` - `"SUPPORTED_MODEL_OPENAI_O1"` - `"SUPPORTED_MODEL_OPENAI_O1_MINI"` - `transcript_url: Optional[str]` transcript_url is the URL to the LLM transcript (all messages exchanged between the agent and the LLM) of the agent run. - `used_environments: Optional[List[StatusUsedEnvironment]]` used_environments is the list of environments that were used by the agent execution. - `created_by_agent: Optional[bool]` - `environment_id: Optional[str]` - `warning_message: Optional[str]` warning_message contains warnings, e.g. when the LLM is overloaded. ### Example ```python import os from gitpod import Gitpod client = Gitpod( bearer_token=os.environ.get("GITPOD_API_KEY"), # This is the default and can be omitted ) page = client.agents.list_executions( filter={ "agent_ids": ["b8a64cfa-43e2-4b9d-9fb3-07edc63f5971"] }, pagination={ "page_size": 10 }, ) page = page.agent_executions[0] print(page.id) ``` #### Response ```json { "agentExecutions": [ { "id": "id", "metadata": { "annotations": { "foo": "string" }, "createdAt": "2019-12-27T18:11:19.117Z", "creator": { "id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", "principal": "PRINCIPAL_UNSPECIFIED" }, "description": "description", "name": "name", "role": "AGENT_EXECUTION_ROLE_UNSPECIFIED", "sessionId": "sessionId", "updatedAt": "2019-12-27T18:11:19.117Z", "workflowActionId": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e" }, "spec": { "agentId": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", "codeContext": { "contextUrl": { "environmentClassId": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", "url": "https://example.com" }, "environmentId": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", "projectId": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", "pullRequest": { "id": "id", "author": "author", "draft": true, "fromBranch": "fromBranch", "repository": { "cloneUrl": "cloneUrl", "host": "host", "name": "name", "owner": "owner" }, "state": "STATE_UNSPECIFIED", "title": "title", "toBranch": "toBranch", "url": "url" } }, "desiredPhase": "PHASE_UNSPECIFIED", "limits": { "maxInputTokens": "maxInputTokens", "maxIterations": "maxIterations", "maxOutputTokens": "maxOutputTokens" }, "loopConditions": [ { "id": "id", "description": "description", "expression": "expression" } ], "session": "session", "specVersion": "specVersion" }, "status": { "cachedCreationTokensUsed": "cachedCreationTokensUsed", "cachedInputTokensUsed": "cachedInputTokensUsed", "contextWindowLength": "contextWindowLength", "conversationUrl": "conversationUrl", "currentActivity": "currentActivity", "currentOperation": { "llm": { "complete": true }, "retries": "retries", "session": "session", "toolUse": { "complete": true, "toolName": "x" } }, "failureMessage": "failureMessage", "failureReason": "AGENT_EXECUTION_FAILURE_REASON_UNSPECIFIED", "inputTokensUsed": "inputTokensUsed", "iterations": "iterations", "judgement": "judgement", "loopConditionResults": [ { "conditionId": "conditionId", "iteration": 0, "lastEvaluatedAt": "2019-12-27T18:11:19.117Z", "met": true } ], "mcpIntegrationStatuses": [ { "id": "id", "failureMessage": "failureMessage", "name": "name", "phase": "MCP_INTEGRATION_PHASE_UNSPECIFIED", "warningMessage": "warningMessage" } ], "mode": "AGENT_MODE_UNSPECIFIED", "outputs": { "foo": { "boolValue": true, "floatValue": 0, "intValue": "intValue", "stringValue": "stringValue" } }, "outputTokensUsed": "outputTokensUsed", "phase": "PHASE_UNSPECIFIED", "session": "session", "statusVersion": "statusVersion", "supportBundleUrl": "supportBundleUrl", "supportedModel": "SUPPORTED_MODEL_UNSPECIFIED", "terminalId": "terminalId", "transcriptUrl": "transcriptUrl", "usedEnvironments": [ { "createdByAgent": true, "environmentId": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e" } ], "waitingInfo": { "interests": [ { "id": "id", "environment": { "environmentId": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", "phase": "" }, "subAgent": { "executionId": "executionId" }, "timer": { "cron": "cron", "duration": "duration", "firesAt": "2019-12-27T18:11:19.117Z" }, "userMessage": {} } ], "waitId": "waitId", "waitingSince": "2019-12-27T18:11:19.117Z" }, "warningMessage": "warningMessage" } } ], "pagination": { "nextToken": "nextToken" } } ```