Loading...

🏗️

Méthodologie de l'agent 12-Factor(12FA)

Méthodologie prête pour la production qui adapte les principes des applications 12-factor à des systèmes d'agents évolutifs et maintenables, avec une surveillance et une évaluation complètes.

Complexité: highÉvaluation et surveillance

In 30 seconds

What: Applique douze principes de génie logiciel aux systèmes d'agents pour garantir cohérence, observabilité et passage à l'échelle sur tous les environnements.
When to use: Construire des systèmes d'agents en production qui doivent passer à l'échelle horizontalement, fonctionner de façon fiable sur différents environnements et rester lisibles en matière de coûts, de performance et de justesse dans la durée.
Watch out: Complexité initiale élevée et lourdeur d'infrastructure ; les équipes sur-conçoivent souvent trop tôt ou peinent à appliquer les douze facteurs de manière cohérente sans support DevOps dédié.

Loading technique guide…

Patterns

Loading...

The 12 Factors in Detail

JSON Extraction as Foundation

Core LLM superpower: converting natural language to structured data. The ability to take a string and turn it into JSON.

Own Your Prompts

Production quality requires hand-crafted prompts, not abstractions. Own your prompts to tweak token order and system/user roles as models change.

Manage Context Windows Explicitly

Don't blindly append; actively manage what the LLM sees. Own the context window, squeezing traces and error summaries for self-healing.

Tools Are Just JSON and Code

Demystify "tool use" as simple routing. Treat tools as structured JSON outputs validated through switch statements.

Own Your Control Flow

Agents = prompt + switch + context + loop. Keep control-flow in code with explicit OODA loops and convergence heuristics.

Stateless Agent Design

Enable pause/resume and horizontal scaling. Persist execution state for idempotent restarts.

Separate Business from Execution State

Different lifecycles, different needs. Expose launch/pause/resume endpoints for safe replay runs.

Contact Humans as First-Class Operations

Not an edge case, but core functionality. Route high-stakes steps to humans as first-class tool calls.

Meet Users Where They Are

Email, Slack, Discord — multi-channel by design. Trigger agents from wherever users already work.

Small, Focused Agents Beat Monoliths

3-10 steps max for reliability. Build small, single-purpose agents instead of chatty monoliths.

Explicit Error Handling

Process errors intelligently, not blindly. Compact errors into the next prompt to close the feedback loop.

Find the Bleeding Edge

Engineer reliability where models almost succeed. Find what's at the boundary of model capability and make it reliable.

The 12 Factors in Detail

JSON Extraction as Foundation

Core LLM superpower: converting natural language to structured data. The ability to take a string and turn it into JSON.

Own Your Prompts

Production quality requires hand-crafted prompts, not abstractions. Own your prompts to tweak token order and system/user roles as models change.

Manage Context Windows Explicitly

Don't blindly append; actively manage what the LLM sees. Own the context window, squeezing traces and error summaries for self-healing.

Tools Are Just JSON and Code

Demystify "tool use" as simple routing. Treat tools as structured JSON outputs validated through switch statements.

Own Your Control Flow

Agents = prompt + switch + context + loop. Keep control-flow in code with explicit OODA loops and convergence heuristics.

Stateless Agent Design

Enable pause/resume and horizontal scaling. Persist execution state for idempotent restarts.

Separate Business from Execution State

Different lifecycles, different needs. Expose launch/pause/resume endpoints for safe replay runs.

Contact Humans as First-Class Operations

Not an edge case, but core functionality. Route high-stakes steps to humans as first-class tool calls.

Meet Users Where They Are

Email, Slack, Discord — multi-channel by design. Trigger agents from wherever users already work.

Small, Focused Agents Beat Monoliths

3-10 steps max for reliability. Build small, single-purpose agents instead of chatty monoliths.

Explicit Error Handling

Process errors intelligently, not blindly. Compact errors into the next prompt to close the feedback loop.

Find the Bleeding Edge

Engineer reliability where models almost succeed. Find what's at the boundary of model capability and make it reliable.

Loading...

Méthodologie de l'agent 12-Factor(12FA)

In 30 seconds

Patterns

Loading...

Modèles et techniques de conception

Loading...

Méthodologie de l'agent 12-Factor(12FA)

In 30 seconds

Aperçu en 30 secondes

Mise en œuvre rapide

The 12 Factors in Detail

JSON Extraction as Foundation

Own Your Prompts

Manage Context Windows Explicitly

Tools Are Just JSON and Code

Own Your Control Flow

Stateless Agent Design

Separate Business from Execution State

Contact Humans as First-Class Operations

Meet Users Where They Are

Small, Focused Agents Beat Monoliths

Explicit Error Handling

Find the Bleeding Edge

À faire et à éviter

Quand l’utiliser

À utiliser quand

À éviter quand

Indicateurs clés

Principaux cas d’usage

Références et lectures complémentaires

Ressources officielles 12-Factor Agents

Guides de mise en œuvre et tutoriels

Analyses académiques et de recherche

Ressources production et entreprise

Patterns

Modèles et techniques de conception

Loading...

Modèles et techniques de conception

Aperçu en 30 secondes

Mise en œuvre rapide

The 12 Factors in Detail

JSON Extraction as Foundation

Own Your Prompts

Manage Context Windows Explicitly

Tools Are Just JSON and Code

Own Your Control Flow

Stateless Agent Design

Separate Business from Execution State

Contact Humans as First-Class Operations

Meet Users Where They Are

Small, Focused Agents Beat Monoliths

Explicit Error Handling

Find the Bleeding Edge

À faire et à éviter

Quand l’utiliser

À utiliser quand

À éviter quand

Indicateurs clés

Principaux cas d’usage

Références et lectures complémentaires

Ressources officielles 12-Factor Agents

Guides de mise en œuvre et tutoriels

Analyses académiques et de recherche

Ressources production et entreprise

Modèles et techniques de conception