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Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →For a fixed research-then-writing workflow, let your PHP application control the sequence: call a researcher, validate its structured findings, then pass that artifact to a writer. Use a handoff only when the researcher should decide which agent takes control next; call a specialist as a tool when a manager must retain responsibility for the final response.
Define what each agent is responsible for
Researcher: return evidence, not an article
Give the researcher a narrow task: find relevant evidence, attach source references to factual findings, distinguish verified information from uncertainty, and return a structured artifact. It should preserve unresolved questions rather than fill gaps with guesses.
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Writer: draft from the artifact
Tell the writer to use the research artifact as its factual basis, preserve its source references, and avoid presenting unresolved items as established facts. Keeping the jobs separate makes it easier to inspect where a claim entered the pipeline and to review the finished prose.
Choose who controls the next step
Orchestration can be owned by application code, by model decisions, or by a combination. OpenAI’s orchestration guidance distinguishes code-controlled flows from model-directed decisions and says, “You can mix and match these patterns.”
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Use a code-owned chain for a known sequence
When the required order is always researcher, validation, then writer, have PHP make those calls in that order. The application can stop on invalid output, preserve the artifact for review, and make the sequence visible in logs. This is a practical fit for a predictable pipeline, not a claim that code orchestration is best for every agent task.
Use a specialist tool when a manager owns the answer
In a manager-agent pattern, the manager calls a researcher for bounded specialist work and remains responsible for combining that work into the final response. This is useful when the manager needs to synthesize research with other inputs or choose what to request next.
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Use a handoff when another agent should take control
A handoff transfers control to a specialist, which then owns the next stage or branch. That differs from calling a specialist as a tool: in the latter pattern, the manager retains ownership. OpenAI’s examples use SDK-specific APIs in JavaScript and Python; their concepts can inform the design, but they are not PHP code.
Define and validate the handoff artifact
The following is an implementation recommendation for a PHP pipeline, not a required SDK schema:
- task: the question the researcher was asked to answer.
- findings: sourced factual statements, each tied to one or more source identifiers.
- sources: identifiers and reference details that let the writer preserve citations.
- unresolved: questions or claims the available evidence does not establish.
- writing_brief: intended reader, scope, and any constraints the writer must follow.
Before calling the writer, validate that required fields exist, findings have source identifiers, and unresolved items are represented explicitly. Reject malformed output or route it to review rather than silently passing incomplete research downstream.
Build the PHP flow around explicit boundaries
- Prepare the researcher input. Pass the research question, scope, and output requirements. Keep the requested task bounded enough that the result can be checked.
- Call the researcher. Capture the returned artifact as data rather than treating free-form prose as a trusted handoff.
- Validate the artifact. Check required fields and source references. If validation fails, stop, request a limited correction, or send the result for human review.
- Call the writer with the validated artifact. Include the writing brief and instruct the writer to preserve references and respect unresolved questions.
- Review before publication. Have a person verify material factual claims and citations in the draft before it is published.
The exact PHP classes, method names, and installation steps depend on the project and release you choose. The sources below describe project capabilities, but do not establish current package versions or runtime compatibility, so consult the selected project’s official installation and release documentation before implementing against a specific version.
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PHP projects to evaluate
These projects describe relevant capabilities in their own documentation or repositories. Treat those descriptions as starting points for evaluation, not as a verified compatibility or maintenance comparison.
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| Project | Documented or repository-described capabilities | What to verify before adopting |
|---|---|---|
| Neuron | Its documentation presents a PHP framework for agentic applications and covers workflows, multi-agent orchestration, checkpointing, human review, streaming, MCP, and asynchronous execution. | Current version, feature status, installation requirements, and PHP runtime compatibility. |
| swisnl/agents-sdk | The repository describes specialists, handoffs, tools, streaming, observers and traces, serialized conversations, and MCP. | Current release cadence, license compatibility, installation instructions, and supported PHP versions. |
| claude-php-agent | The repository describes tool orchestration, hierarchical agents, memory, loop strategies, and sequential, parallel, or conditional chains. | Current documentation, release status, license, and runtime compatibility; confirm that the described features fit your intended workflow. |
Add safeguards around model output
- Require source identifiers for factual findings and retain the references through drafting.
- Keep uncertainty visible; do not ask the writer to resolve missing evidence by invention.
- Set a retry limit so malformed results cannot trigger an open-ended correction loop.
- Log inputs, outputs, validation failures, and handoffs for debugging, while excluding secrets and sensitive data from logs.
- Require human review before publication, especially when the article makes consequential or time-sensitive claims.
These are engineering safeguards to implement in the application; the cited project descriptions do not establish that a framework enforces them by default.
Compare frameworks against the workflow you need
Before selecting a project, check its current documentation and release materials for the criteria that matter to your application:
- Routing: Can application code enforce a fixed sequence, and can the framework support dynamic routing if you later need it?
- State and recovery: Does it provide checkpoints or conversation serialization suited to restarting or inspecting a workflow?
- Review and interruption: Can a person inspect, approve, or stop work at the appropriate point?
- Observability: Are inputs, outputs, traces, or handoffs inspectable without leaking sensitive information?
- Provider flexibility: Does its supported provider and API setup match your deployment?
- Compatibility and upkeep: Do the current installation instructions, release history, license, and PHP support match your requirements?
The available project descriptions do not provide a verified head-to-head benchmark, so choose by documented fit and your own compatibility checks rather than assumed speed, quality, or cost advantages.
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