AI Dispatch/api/index.json
agent · AI Agents Frameworks

CAMEL

9 fields evidenced · 46 with no public information. Every value below links to the document it came from and the date we checked it.
Runtime governance
unscored

Are scope, spend, and authority enforced while the agent runs?

Audit trail
1/3

Is there a tamper-evident record of what it actually did?

Scored from 1 evidenced field(s): explainability. Automated score; capped at 2 pending review.

How this gap gets closed →
Compliance
unscored

Are compliance obligations attached per engagement?

Outcome settlement
unscored

Does payment depend on a verified result?

Insurance & indemnity
unscored

Can the deployment be insured, and is the customer indemnified?

Assurance

Insurance available
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Insurance carriers
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Coverage limits
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Indemnification
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Liability cap
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Audit trail
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Tamper-evident log
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Explainability
prompt engineering, i.e., inception prompting. The prompts are actually carefully defined to assign roles, prevent flipping roles, prohibit harm and false information, and encourage consistent conversation.
The essence of Camel lies in its prompt engineering, i.e., inception prompting. The prompts are actually carefully defined to assign roles, prevent flipping roles, prohibit harm and false information, and encourage consistent conversation.
www.camel-ai.org · checked Aug 1, 2026
Runtime governance
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Permission scopes
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Compliance certifications
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Regulatory alignment
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Outcome-based pricing
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Settlement mechanism
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Dispute process
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
SLA terms
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Evaluation coverage
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this

Agency

Autonomy level
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Human oversight
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Goal complexity
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Action space
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Operating environment
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Initiative
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this

Safety

Safety evaluations
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Red teaming
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Safety policy
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Usage restrictions
prohibit harm and false information
The essence of Camel lies in its prompt engineering, i.e., inception prompting. The prompts are actually carefully defined to assign roles, prevent flipping roles, prohibit harm and false information, and encourage consistent conversation.
www.camel-ai.org · checked Aug 1, 2026
Model or system card
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Incident reporting
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Third-party evaluations
used as part of the training data for Teknium's OpenHermes model and the Microsoft Phi model
The CAMEL AI "Domain Expert" dataset, comprising 25,000 conversations between two GPT 3.5 Turbo agents was used as part of the training data for Teknium's OpenHermes model and the Microsoft Phi model
www.camel-ai.org · checked Aug 1, 2026
Data handling
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this

Practicality

Pricing model
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Price point
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Availability
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Deployment options
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Integrations
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Supported regions
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Support model
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this

Foundation models

Base models
GPT 3.5 Turbo
The CAMEL AI "Domain Expert" dataset, comprising 25,000 conversations between two GPT 3.5 Turbo agents was used as part of the training data for Teknium's OpenHermes model and the Microsoft Phi model
www.camel-ai.org · checked Aug 1, 2026
Model provider
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Model swappable
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Open weights
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Fine-tuning
yes
Connect to RL Close the loop from interaction logs to RL and fine-tuning pipelines.
www.camel-ai.org · checked Aug 1, 2026
Context window
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this

Ecosystem

Protocols supported
MCP
MCPAgent
www.camel-ai.org · checked Aug 1, 2026
Tool use
batteries-included toolkit for messaging, planning, evaluation, and observability
CAMEL Toolkit Batteries-included toolkit for messaging, planning, evaluation, and observability.
www.camel-ai.org · checked Aug 1, 2026
Multi-agent
yes
CAMEL-AI is an open-source community for finding the scaling laws of agents for data generation, world simulation, task automation. Our Mission We Are Finding the Scaling Laws of Agents We believe that studying intelligent agents and multi-agent systems agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks.
www.camel-ai.org · checked Aug 1, 2026
API access
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Open source
open-source
CAMEL-AI is an open-source community for finding the scaling laws of agents for data generation, world simulation, task automation.
www.camel-ai.org · checked Aug 1, 2026
Marketplace presence
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this

Impact

User base
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Deployment scale
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Target sectors
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
High-risk domains
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this
Documented incidents
no public information
www.camel-ai.org · checked Aug 1, 2026 · source did not state this