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When an Oracle AI agent does not finish a task, first identify the product and the stage that failed. OCI Generative AI Agents and Oracle Integration 3 Agentic AI have different consoles, logs, limits, URLs, and known issues. Record the exact error, region, deployment or release, UTC timestamp, and request or interaction identifier before changing a prompt. Then follow the evidence for the failing stage: invocation, tool execution, retrieval or ingestion, or final response.
Start by identifying the Oracle agent and the failure stage
“Oracle AI agent” can describe more than one service. A fix for an OCI agent may be irrelevant to an agent running in Oracle Integration 3. Open the resource in the product where it was created and write down:
- Product: OCI Generative AI Agents or Oracle Integration 3 Agentic AI.
- Region and compartment or project.
- Agent, endpoint, knowledge base, integration, and tool identifiers.
- Deployment or Oracle Integration release version.
- UTC time of a reproducible failure.
- Exact HTTP status, console error, work-request message, and request, interaction, conversation, or agent-instance identifier.
Classify the symptom before trying a remedy. An invocation failure occurs before the agent can run. A tool failure happens when the agent calls SQL, a REST action, or another configured capability. Retrieval and ingestion failures prevent the agent from finding source content. A final-response failure means the model or orchestration began work but did not return a usable result. This classification determines which evidence surface is useful.
Use the OCI Generative AI Agents diagnostic path
Inspect the agent, endpoint, tools, and work requests
In the OCI console, open the agent’s details and review its endpoints and tools. Check that the endpoint being invoked belongs to the expected agent and region, that each tool is present and enabled, and that referenced resources still exist. Open the associated work requests rather than relying only on the success banner shown after an operation. A task can fail after an apparently successful create, update, or ingestion request; the work request contains the operation’s later status, log messages, and error details.
Compare the timestamp in the work request with the time of the failed invocation. If they do not overlap, you may be investigating an older configuration change rather than the current task.
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Investigate knowledge-base ingestion at file level
For an agent that answers from a knowledge base, open the data-source ingestion job. Review the total counts of successful, failed, and ignored files, the duration, final status, and status logs. The logs identify file-level outcomes and global pipeline failures; the related work request supplies log and error messages.
Act on the specific outcome:
- Failed files: correct the file or the reported ingestion cause, then restart ingestion.
- Ignored files: determine whether the file was intentionally skipped or had already been processed.
- Global failure: use the work-request error and job log to correct the pipeline or data-source configuration before retrying.
OCI skips files that were already ingested successfully. It retries failed files when those files have subsequently been updated, so changing the failed source can be enough to make a later run process it without redoing every successful file.
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A SQL tool can appear to be created successfully while its work request records a SQL or parser error. Oracle identifies an invalid database schema as the most common cause. Open the failed tool’s work request, inspect the schema definition and parser message, remove the failed tool, and create it again with valid schema DDL. Do not keep retrying the same invalid definition.
If a large query completes but the expected output file is missing, the problem is different from schema parsing. Verify that the selected Object Storage bucket exists in the expected region and that the required IAM policies allow the service to write there. A successful query does not prove that its result-export destination is usable.
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Check Oracle Integration 3 Agentic AI known issues
Oracle Integration has its own issue list and release behavior. Confirm that a documented issue applies to the deployed release before changing a working design.
Correct an MCP URL that displays incorrectly
If the console shows an MCP URL that does not invoke the expected project, construct the documented path yourself using the project name:
/mcp-server/v1/projects/<ProjectName>/mcp
Validate the complete URL, host, authentication, and project before retrying. An incorrect URL can return HTTP 404 while still creating conversation or agent-instance records, which can make the failure look like a duplicate-conversation problem. Check the invocation response and the resulting records together.
Recover an agent that will not activate after project deployment
Exporting an agent and its integrations through a project deployment can leave the imported agent unable to activate on the destination instance. Oracle’s listed workaround is to create a new agent on the destination instance and activate that new agent. Test the replacement with a minimal invocation before rebuilding additional tools or integrations around it.
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Recreate prompt templates affected before version 26.04
Prompt templates created before Oracle Integration version 26.04 can import with extra characters. If an imported template produces malformed instructions or unexpected parsing, recreate the affected template on version 26.04 rather than editing the imported text character by character. Verify the rendered prompt and one controlled test invocation after recreation.
Supply a conversation ID for older agents
Some older agents fail when a conversation identifier is omitted or handled differently from newer releases. Oracle documents passing the conversationId query parameter for those agents. Confirm the expected parameter spelling and placement in the deployed invocation definition, then test with a newly generated identifier and a separate known-good conversation.
Validate REST, RAG, and knowledge-base configuration
For REST calls that perform retrieval-augmented generation (RAG) search or ingestion, verify the authentication method and authorization boundary. Oracle documents requirements involving resource-owner-password credentials (ROPC) or client credentials together with role-based access control (RBAC), depending on the call. A valid token is not sufficient if its principal lacks the required RAG permissions.
Check the knowledge-base connection name exactly. The documented name is OpenSearchConnection; a different capitalization or an alternative connection name can prevent the default recipe from finding its expected connection. Also review whether the knowledge base was created from a default recipe, because that behavior affects which connection and configuration the agent expects. Recheck these details against the Oracle Integration release deployed in your instance, since issue applicability can change.
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Compare the workload with OCI service limits
A valid prompt and a correctly configured agent can still be rejected when a file, message, ingestion job, or regional quota exceeds a service limit. Oracle’s limits page was updated August 26, 2026; confirm the current console and region before treating any figure as definitive.
| Limit or quota | Documented value or behavior | What to check |
|---|---|---|
| Data-source file size | 100 MB maximum per file | Split or reduce files that exceed the limit, then ingest the corrected copies. |
| User message length | 24,000 characters maximum | Shorten the request or move source material into a supported knowledge-base workflow. |
| Active ingestion jobs | One active job per data source | Wait for the existing job to finish or fail before starting another. |
| Tool quota | 20 in Frankfurt, London, and Chicago; 5 in Ashburn, Sao Paulo, and Osaka, as listed in the documentation | Check the current regional quota and whether the agent has reached it. |
| Other OCI quotas | Quotas also apply to agents, knowledge bases, endpoints, sessions, and ingestion files | Review the region-specific limits page and console counters. |
Some adjustable limits can be increased by request; preset limits cannot. Do not assume that moving an agent to another region will help, because tool caps and other quotas can differ by region and the resources may not be portable without additional configuration.
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Capture a narrow, reproducible time window
For OCI Generative AI application logs, use the console’s time-range and stream filters, including stdout and stderr. Open the selected log in OCI Logging when you need advanced search or correlation. Capture a short window beginning shortly before the request and ending after the failure. Preserve the complete error context, including nested causes and identifiers, before changing prompts, tools, IAM policies, or endpoints.
For each attempt, retain:
- UTC start and end time.
- Request, interaction, conversation, agent-instance, and work-request IDs that are available.
- HTTP status and response body after removing secrets.
- Endpoint and tool selected by the agent.
- Relevant stdout, stderr, ingestion, and work-request log lines.
- Whether the same input succeeds with a simpler prompt or a known-good tool.
This record prevents a configuration change from erasing the evidence needed to distinguish an invocation defect from a downstream permission or data problem.
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Follow a stage-by-stage recovery procedure
- Reproduce once without changing configuration. Save the exact input, timestamp, status, and identifiers.
- Locate the product surface. Open OCI Generative AI Agents or Oracle Integration 3, then confirm region, project, compartment, and release.
- Classify the failing stage. Decide whether the error is invocation, tool execution, retrieval or ingestion, or final response.
- Open the strongest evidence source. Use endpoint and tool details plus work requests for OCI configuration; use application logs for runtime behavior; use Oracle Integration’s issue list and invocation response for Integration agents.
- Test the narrowest correction. Fix one schema, bucket policy, URL, template, conversation parameter, connection name, or source file at a time.
- Retry with a controlled input. Use a small message, one tool, or one test document so a successful result identifies the corrected dependency.
- Restore the full task gradually. Re-enable additional tools, larger files, or multi-step orchestration only after the minimal path works.
- Compare against limits. Check file size, message length, active ingestion jobs, regional tool caps, and agent, endpoint, session, knowledge-base, and ingestion-file quotas.
Match common symptoms to the next check
| Symptom | Most useful next check | Likely boundary |
|---|---|---|
| Invocation returns 404 in Oracle Integration | Rebuild and validate the project MCP path, host, and project name; inspect whether records were still created. | URL or deployment routing |
| OCI operation reports success, but the task later fails | Open the associated work request and inspect its final status and error message. | Asynchronous operation |
| Knowledge-base answers omit recently added files | Review ingestion counts and file-level logs; check ignored versus failed files and the data-source job status. | Ingestion or source file |
| SQL tool creation fails with parser details | Validate schema DDL, remove the failed tool, and create it again. | Database schema |
| Large query succeeds but no result file appears | Verify the Object Storage bucket and required IAM policies. | Storage destination or permissions |
| Imported Integration prompt behaves strangely | Determine whether it was created before version 26.04 and recreate it on 26.04. | Version-specific template import |
| RAG REST call is unauthorized | Check ROPC or client-credentials requirements and RBAC roles for the calling principal. | Authentication or authorization |
| Ingestion cannot start | Look for an already active job and compare the source files with the 100 MB size limit. | Concurrency or file limit |
Permissions and configuration boundaries to verify
Database and SQL
- Schema DDL parses successfully for the target database.
- The schema referenced by the tool is the schema actually available to the configured connection.
- The recreated tool points to the intended endpoint and database.
Object Storage and IAM
- The bucket exists and is in the expected region.
- The agent’s service principal or dynamic group has the documented write permissions.
- Policies apply to the compartment and bucket involved, not only to a similarly named resource.
Oracle Integration invocation
- The MCP path uses the correct project name and deployed host.
- The agent and integrations are active on the destination instance.
- The caller supplies a valid conversation identifier when the older agent requires one.
RAG and knowledge bases
- The authentication flow matches the REST operation.
- RBAC grants the caller search or ingest access.
- The connection is named
OpenSearchConnectionwhere the documented recipe expects it.
When to escalate to Oracle Support
Escalate after the product-specific checks, work-request review, log capture, limit comparison, and a controlled retry fail to isolate the cause. Provide a reproducible case rather than only saying that the agent “stops.” Include:
- Product, region, compartment or project, and deployed release.
- Agent, endpoint, integration, knowledge-base, tool, and data-source identifiers.
- Exact UTC timestamps and all available request, interaction, conversation, agent-instance, and work-request IDs.
- A redacted request and the smallest input that still reproduces the failure.
- HTTP responses, work-request errors, ingestion status details, and a focused application-log excerpt.
- Recent configuration changes, including URL, schema, bucket, IAM, prompt-template, or connection-name changes.
Redact tokens, passwords, private source documents, and other secrets while preserving the field names and error structure. The available documentation establishes these diagnostic records, but it does not promise a universal support response time.
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- Keep a runbook that names the product, region, release, endpoint, and known limits for each agent.
- Use a small smoke-test task after changing a tool, schema, bucket policy, prompt template, MCP URL, or knowledge base.
- Record ingestion job IDs and file outcomes so stale content is not mistaken for model failure.
- Review regional quotas before adding tools or moving workloads.
- Retain short, searchable logs around every failed deployment and invocation.
- For exported Oracle Integration projects, test activation and invocation on the destination before promoting dependent integrations.
What the evidence can and cannot establish
Oracle’s published workflows can show whether a work request, ingestion job, schema parser, endpoint, quota, or permission boundary failed. They cannot identify the root cause of an unspecified live incident without the product path, exact error, and logs. Treat the agent’s final text as an outcome, not as a diagnostic record: the decisive evidence is usually in the endpoint response, work request, ingestion status, application log, or authorization response that produced it.
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